<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN" "JATS-archivearticle1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">101701004</journal-id><journal-id journal-id-type="pubmed-jr-id">46235</journal-id><journal-id journal-id-type="nlm-ta">Birth Defects Res</journal-id><journal-id journal-id-type="iso-abbrev">Birth Defects Res</journal-id><journal-title-group><journal-title>Birth defects research</journal-title></journal-title-group><issn pub-type="epub">2472-1727</issn></journal-meta><article-meta><article-id pub-id-type="pmid">38111285</article-id><article-id pub-id-type="pmc">10872561</article-id><article-id pub-id-type="doi">10.1002/bdr2.2285</article-id><article-id pub-id-type="manuscript">HHSPA1953375</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Racial and ethnic differences in infant survival for hydrocephaly&#x02014;Texas, 1999&#x02013;2017</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-0480-7154</contrib-id><name><surname>Ahmed</surname><given-names>Munir</given-names></name><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-2884-2835</contrib-id><name><surname>Shumate</surname><given-names>Charles</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Bojes</surname><given-names>Heidi</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Patel</surname><given-names>Ketki</given-names></name><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-5874-4155</contrib-id><name><surname>Agopian</surname><given-names>A. J.</given-names></name><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Canfield</surname><given-names>Mark</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib></contrib-group><aff id="A1"><label>1</label>Division of Workforce Development, Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff><aff id="A2"><label>2</label>Texas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch, Austin, Texas, USA</aff><aff id="A3"><label>3</label>Texas Department of State Health Services, Environmental Epidemiology and Disease Registries Section, Austin, Texas, USA</aff><aff id="A4"><label>4</label>Texas Department of State Health Services, Environmental Surveillance and Toxicology Branch, Austin, Texas, USA</aff><aff id="A5"><label>5</label>Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA</aff><author-notes><corresp id="CR1"><bold>Correspondence</bold> Munir Ahmed, Epidemic Intelligence Officer, Centers for Disease Control and Prevention (CDC), Atlanta Georgia, USA. <email>rhz3@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>18</day><month>1</month><year>2024</year></pub-date><pub-date pub-type="ppub"><month>1</month><year>2024</year></pub-date><pub-date pub-type="epub"><day>18</day><month>12</month><year>2023</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>1</month><year>2025</year></pub-date><volume>116</volume><issue>1</issue><fpage>e2285</fpage><lpage>e2285</lpage><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P1">Congenital hydrocephaly, an abnormal accumulation of fluid within the ventricular spaces at birth, can cause disability or death if untreated. Limited information is available about survival of infants born with hydrocephaly in Texas. Therefore, the purpose of the study was to calculate survival estimates among infants born with hydrocephaly without spina bifida in Texas.</p></sec><sec id="S2"><title>Methods:</title><p id="P2">A cohort of live-born infants delivered during 1999&#x02013;2017 with congenital hydrocephaly without spina bifida was identified from the Texas Birth Defects Registry. Deaths within 1 year of delivery were identified using vital and medical records. One-year infant survival estimates were generated for multiple descriptive characteristics using the Kaplan&#x02013;Meier method. Crude hazard ratios (HRs) for one-year survival among infants with congenital hydrocephaly by maternal and infant characteristics and adjusted HRs for maternal race and ethnicity were estimated using Cox proportional hazard models.</p></sec><sec id="S3"><title>Results:</title><p id="P3">Among 5709 infants born with congenital hydrocephaly without spina bifida, 4681 (82%) survived the first year. The following characteristics were associated with infant survival: maternal race and ethnicity, clinical classification (e.g., chromosomal or syndromic), preterm birth, birth weight, birth year, and maternal education. In the multivariable Cox proportional hazards model, differences in survival were observed by maternal race and ethnicity after adjustment for other maternal and infant characteristics. Infants of non-Hispanic Black (HR: 1.28, 95% CI: 1.04&#x02013;1.58) and Hispanic (HR: 1.31, 95% CI: 1.12&#x02013;1.54) women had increased risk for mortality, compared with infants of non-Hispanic White women.</p></sec><sec id="S4"><title>Conclusions:</title><p id="P4">This study showed infant survival among a Texas cohort differed by maternal race and ethnicity, clinical classification, gestational age, birth weight, birth year, and maternal education in infants with congenital hydrocephaly without spina bifida. Findings confirm that mortality continues to be common among infants with hydrocephaly without spina bifida. Additional research is needed to identify other risk factors of mortality risk.</p></sec></abstract><kwd-group><kwd>birth defects</kwd><kwd>epidemiology</kwd><kwd>hydrocephaly</kwd><kwd>infant</kwd><kwd>race and ethnicity</kwd><kwd>survival</kwd></kwd-group></article-meta></front><body><sec id="S5"><label>1 |</label><title>INTRODUCTION</title><p id="P5">Congenital hydrocephaly is characterized by excessive fluid accumulation, resulting in abnormally dilated cerebral ventricles at birth (<xref rid="R17" ref-type="bibr">Isaacs et al., 2018</xref>). Although congenital hydrocephaly is frequently present among infants with spina bifida, when it occurs without spina bifida the etiologies are different (<xref rid="R14" ref-type="bibr">Gili et al., 2022</xref>; <xref rid="R17" ref-type="bibr">Isaacs et al., 2018</xref>). Therefore, this study focused on congenital hydrocephaly without spina bifida (hereafter referred to as hydrocephaly, except where otherwise indicated). If left untreated, hydrocephaly leads to chronic morbidity and can be fatal (<xref rid="R14" ref-type="bibr">Gili et al., 2022</xref>; <xref rid="R17" ref-type="bibr">Isaacs et al., 2018</xref>). Prevalence of hydrocephaly differs worldwide (<xref rid="R17" ref-type="bibr">Isaacs et al., 2018</xref>). Total birth prevalence of hydrocephaly in North America is estimated to be approximately 5&#x02013;6 cases/10,000 live births (<xref rid="R14" ref-type="bibr">Gili et al., 2022</xref>; <xref rid="R17" ref-type="bibr">Isaacs et al., 2018</xref>). In Texas, prevalence of hydrocephaly appears to be higher than national levels and is estimated to be 8 cases/10,000 live births (<xref rid="R34" ref-type="bibr">Texas Birth Defects Registry, n.d.</xref>).</p><p id="P6">Prior epidemiologic studies (<xref rid="R1" ref-type="bibr">Acakpo-Satchivi et al., 2008</xref>; <xref rid="R9" ref-type="bibr">Casey et al., 1997</xref>; <xref rid="R13" ref-type="bibr">Fernell et al., 1994</xref>; <xref rid="R18" ref-type="bibr">Iskandar et al., 1998</xref>; <xref rid="R30" ref-type="bibr">Persson et al., 2005</xref>; <xref rid="R37" ref-type="bibr">Vinchon et al., 2012</xref>) have reported survival estimates for hydrocephaly based on limited, clinic-based populations (e.g., a single hospital), which are subject to selection bias. A limited number of published population-based studies are available regarding hydrocephaly mortality or survival. In a recent international study, 6% of neonates with hydrocephaly died within 7 days, and infants with syndromic hydrocephaly had approximately a two times higher risk for death (<xref rid="R14" ref-type="bibr">Gili et al., 2022</xref>). However, the study did not assess mortality beyond 7 days. Two older studies conducted in the United States provided state-based estimates for survival among infants with hydrocephaly (<xref rid="R27" ref-type="bibr">Nembhard et al., 2001</xref>; <xref rid="R38" ref-type="bibr">Wang et al., 2011</xref>). In one study investigators reported 75% survival (one-year period) among infants born with hydrocephaly in Texas in 1995&#x02013;1997. These results were before full implementation of a statewide active ascertainment registry in 1999 (<xref rid="R27" ref-type="bibr">Nembhard et al., 2001</xref>). Another study examined data from a passive ascertainment system in New York State. The study showed an overall 25-year survival of 83% among infants with hydrocephaly (<xref rid="R38" ref-type="bibr">Wang et al., 2011</xref>). Studies also report that infant survival is influenced by maternal and infant-associated risk factors, such as maternal race and ethnicity, preterm birth, low birth weight, and maternal age (<xref rid="R12" ref-type="bibr">Ely &#x00026; Driscoll, 2019</xref>; <xref rid="R14" ref-type="bibr">Gili et al., 2022</xref>; <xref rid="R31" ref-type="bibr">Ratnasiri et al., 2020</xref>; <xref rid="R32" ref-type="bibr">Shi et al., 2004</xref>), including improvements in care of preterm infants in more recent years (<xref rid="R15" ref-type="bibr">Glinianaia et al., 2020</xref>). However, a fuller understanding of mortality risk factors is needed using current information on survival estimates.</p><p id="P7">The objectives of this study were to (1) describe population-based survival in a statewide cohort of infants born with hydrocephaly, through their first year of life, and (2) to identify independent maternal and infant characteristics that influence survival among these infants, including maternal race and ethnicity.</p></sec><sec id="S6"><label>2 |</label><title>METHODS</title><sec id="S7"><label>2.1 |</label><title>Data</title><p id="P8">The Texas Department of State Health Services (DSHS) Texas Birth Defects Registry (TBDR) was established in 1993 and became statewide in 1999. TBDR is a large, active-ascertainment surveillance system. It includes diagnoses and relevant clinical information for all major birth defects documented within the first year of life and infant and maternal demographic characteristics. Methods for identifying structural birth defects and chromosomal anomalies within the first year of life have been documented (<xref rid="R5" ref-type="bibr">Anderka et al., 2015</xref>; <xref rid="R25" ref-type="bibr">Miller, 2006</xref>). Briefly, trained program staff routinely visit medical facilities in person or access the medical records online, to review medical logs (e.g., hospital unit logs and discharge listings) and other records to identify potential infants with birth defects. If an eligible birth defect is identified during pregnancy, at delivery, or during the child&#x02019;s first year of life, and the mother resided in Texas at delivery, the relevant medical records are abstracted.</p><p id="P9">TBDR is routinely linked to state vital event data managed by the Center for Health Statistics at DSHS. These data are derived from birth, death, and fetal death certificates, and linkage is performed using a unique identifier (i.e., birth certificate number). Aside from vital status and live birth denominators, other important information from vital records includes gestational age, maternal education, maternal residence, and supplemental demographic data.</p><p id="P10">This study used data on live-born infants delivered by women residing in Texas from 1999 (the first year the TBDR covered the entire state of Texas) to 2017. Infants with hydrocephaly were identified primarily using codes from the <italic toggle="yes">International Classification of Diseases Clinical Modification</italic> (ICD-9-CM) and the <italic toggle="yes">International Classification of Diseases Clinical Modification</italic> (ICD-10-CM). Infants meeting the case definition were then abstracted using modified specific corresponding codes from the British Pediatric Association Classification of Diseases: 742.300, 742.310, 742,320, 742.380, and 742.390. Because congenital hydrocephaly is frequently present among infants with spina bifida and its etiology is similar to hydrocephaly, infants with spina bifida were excluded from this analysis.</p></sec><sec id="S8"><label>2.2 |</label><title>Outcome and independent variables</title><p id="P11">The main outcome variable was survival time for infants born with hydrocephaly. This was calculated in days from birth until the death of an infant or until the infant was aged 1 year, with censoring at 1 year. Based on prior work (<xref rid="R7" ref-type="bibr">Benjamin et al., 2021</xref>, <xref rid="R6" ref-type="bibr">2023</xref>; <xref rid="R23" ref-type="bibr">Marengo et al., 2014</xref>, <xref rid="R22" ref-type="bibr">2023</xref>; <xref rid="R24" ref-type="bibr">Martin-Giacalone et al., 2023</xref>; <xref rid="R36" ref-type="bibr">Vendola et al., 2010</xref>), infants without death records were assumed to have survived to their first birthday. Several independent variables were considered, including maternal race and ethnicity (non-Hispanic White [White], non-Hispanic Black [Black], Hispanic, and additional groups), maternal age at delivery (&#x0003c;35 years or &#x02265; 35 years), maternal education at delivery (less than high school [&#x0003c;12 years] high school [12 years], and more than high school [&#x0003e;12 years]), preterm birth (gestational age &#x0003c; 37 weeks or &#x02265; 37 weeks at delivery), birthweight (&#x0003c;2500 grams or &#x02265; 2500 grams), clinical classification for infants with hydrocephaly (isolated, chromosomal or syndromic, and multiple), and birth year (1999&#x02013;2011 or 2012&#x02013;2017) (<xref rid="SD2" ref-type="supplementary-material">Supplement A</xref>). The clinical classification of hydrocephaly was categorized as isolated cases (infants with hydrocephaly and no other birth defects), chromosomal or syndromic (infants with hydrocephaly and chromosomal or syndromic birth defects) and multiple (infants with hydrocephaly and other major birth defects other than chromosomal and syndromic) (<xref rid="R8" ref-type="bibr">Benjamin et al., 2022</xref>; <xref rid="R20" ref-type="bibr">Langlois et al., 2023</xref>). The &#x0201c;additional groups&#x0201d; race and ethnicity category included non-Hispanic Asian, non-Hispanic Native Hawaiian and Pacific Islander, non-Hispanic American Indian and Alaskan Native, and non-Hispanic with &#x02265;2 reported races. Birth year was dichotomized before and after 2012 to specifically characterize survival in recent years.</p></sec><sec id="S9"><label>2.3 |</label><title>Statistical analysis</title><p id="P12">Counts and percentages were tabulated to summarize distribution of infants with hydrocephaly by maternal and infant characteristics. The Kaplan&#x02013;Meier method was used to estimate infant survival probability and to generate survival curves for hydrocephaly overall. Analyses were also stratified by maternal race and ethnicity, maternal education, maternal age, hydrocephaly classification type, preterm birth, birth weight, and birth year.</p><p id="P13">Unadjusted hazard ratios were computed using univariable Cox proportional hazards models.</p><p id="P14">Subsequently Cox proportional hazards models were used for multivariable analysis to estimate the mortality hazard ratios (HRs) for infants with hydrocephaly by maternal race and ethnicity adjusted for all other maternal and infant characteristics identified during literature review. All variables were included in a simultaneous Cox proportional hazards regression model to obtain adjusted HRs. A simultaneous regression approach was employed because no theoretical basis exists for considering one variable over another in terms of relevance to study objectives (<xref rid="R16" ref-type="bibr">Harrell, 2001</xref>). Schoenfeld residuals were used to test proportional hazards assumptions, and assumptions were met for main variable of interest and other covariates with exception of gestational age and less than high school category of maternal education (<xref rid="SD1" ref-type="supplementary-material">Supplement B</xref>). All analyses were carried out using SAS<sup>&#x000ae;</sup> version 9.4 (SAS Institute Inc., Cary, North Carolina, USA).</p><p id="P15">This project was approved by the DSHS Institutional Review Board. This project was reviewed by the Centers for Disease Prevention and Prevention (CDC) and was conducted consistent with applicable federal law and CDC policy (e.g., 45 C.F.R. part 46.102(l)(2), 21 C.F.R. part 56; 42 U.S.C. &#x000a7;241(d); 5 U.S.C. &#x000a7;552a; 44 U.S.C. &#x000a7;3501 et seq.).</p></sec></sec><sec id="S10"><label>3 |</label><title>RESULTS</title><p id="P16">In total, 5709 infants with hydrocephaly were analyzed for delivery years 1999&#x02013;2017 (<xref rid="T1" ref-type="table">Table 1</xref>). In terms of maternal race and ethnicity, 34.78% of mothers of infants were White, 13.37% were Black, 48.48% were Hispanic, and 3.37% were from additional groups. Based on clinical classification, 15.76% of infants had chromosomal or syndromic, 26.69% isolated (no co-occurring birth defects), and 53.56% multiple forms of hydrocephaly. Among infants analyzed, 42.53% were preterm (&#x0003c;37 weeks of gestation) and 41.01% were low birth weight (&#x0003c;2500 grams). In total, 62.67% of infants with hydrocephaly were born before 2012. Distribution of infants born based on maternal education was 28.51%, 30.68%, and 40.81% for &#x0003c;12 years, 12 years, and &#x0003e; 12 years of education, respectively.</p><p id="P17">Overall, infant survival for hydrocephaly was 82.83% (95% CI: 0.82&#x02013;0.84) (<xref rid="T2" ref-type="table">Table 2</xref>, <xref rid="F1" ref-type="fig">Figure 1</xref>). The lowest infant survival rates were observed among infants with hydrocephaly classified as chromosomal and syndromic (66.33%; 95% CI: 63.14&#x02013;69.32), preterm births (78.91%; 95% CI:77.24&#x02013;80.48), and low birth weight (76.29%; 95% CI: 74.52&#x02013;77.96). The highest survival rates were observed among infants with isolated hydrocephaly (92.45%; 95% CI:91.01&#x02013;93.67). The survival patterns in Kaplan&#x02013;Meier curve showed the greatest decrease in survival occurring during neonatal period (within the first month), followed by a leveling of the survival estimates in later months (<xref rid="F1" ref-type="fig">Figure 1</xref>).</p><p id="P18">In the unadjusted Cox proportional hazard model, the following maternal and infant characteristics had an increased risk of infant mortality: maternal race and ethnicity, clinical classification, gestational age, birth weight, birth year period, and maternal education (<xref rid="T3" ref-type="table">Table 3</xref>). In the multivariable Cox proportional hazards model, racial and ethnic differences in infant survival were observed after adjustment for all maternal and infant characteristics. Infants of Black (HR:1.28, 95% CI: 1.04&#x02013;1.58) and Hispanic (HR:1.31, 95% CI: 1.12&#x02013;1.54) women were at approximately 30% increased relative risk for death, compared with White women (<xref rid="T4" ref-type="table">Table 4</xref>).</p></sec><sec id="S11"><label>4 |</label><title>DISCUSSION</title><p id="P19">This study provides contemporary population-based infant survival estimates for hydrocephaly in Texas from an active ascertainment birth defects surveillance system. Overall survival estimates of 83% appears to be higher than the 75% estimate observed in a previous study conducted in Texas during the 1990s. The difference between the two studies might be the result of the earlier data being from an incomplete surveillance system and with relatively limited frequencies. However, this estimate seems consistent with the survival estimate (83%) provided in a 2011 New York study (1983&#x02013;2006), based on passively reported data (<xref rid="R27" ref-type="bibr">Nembhard et al., 2001</xref>; <xref rid="R38" ref-type="bibr">Wang et al., 2011</xref>). Compared with population of all infants born in Texas, the excess mortality among infants with hydrocephaly is considerable (<xref rid="R27" ref-type="bibr">Nembhard et al., 2001</xref>).</p><p id="P20">Studies have shown that mortality is higher among infants and children with birth defects (<xref rid="R2" ref-type="bibr">Agha et al., 2006</xref>; <xref rid="R11" ref-type="bibr">Copeland &#x00026; Kirby, 2007</xref>; <xref rid="R19" ref-type="bibr">Kassebaum et al., 2017</xref>), compared with those in the general population. An analysis of National Vital Statistics System and the National Linked Birth and Death data from 1915 to 2017 revealed racial and ethnic, socioeconomic, and geographic disparities in infant mortality in the United States (<xref rid="R33" ref-type="bibr">Singh &#x00026; Stella, 2019</xref>). Factors, including maternal race and ethnicity, maternal age, maternal education, gestational age, and birth weight were shown to be associated with mortality and survival among infants with or without birth defects (<xref rid="R4" ref-type="bibr">Almli et al., 2020</xref>; <xref rid="R21" ref-type="bibr">Lopez et al., 2018</xref>; <xref rid="R26" ref-type="bibr">Nembhard et al., 2010</xref>; <xref rid="R28" ref-type="bibr">Oster et al., 2013</xref>; <xref rid="R29" ref-type="bibr">Pace et al., 2018</xref>; <xref rid="R39" ref-type="bibr">Yang et al., 2006</xref>). Early diagnosis and treatment of birth defects such as hydrocephaly and an improved understanding of potential risk factors is crucial for infant survival.</p><p id="P21">This study provided statewide, population-based survival estimates for infants with hydrocephaly stratified by multiple factors, including maternal race and ethnicity. After accounting for multiple variables, adjusted HRs suggested that infants with hydrocephaly born to Black and Hispanic mothers are approximately 30% more likely to die during infancy, compared with infants born to White mothers. These results appear consistent with typical birth defects survival patterns (<xref rid="R15" ref-type="bibr">Glinianaia et al., 2020</xref>). Associations with maternal race and ethnicity might represent the role of many complex factors not included in this study. Although racial and ethnic differences in low birth weight, prematurity, and respiratory distress syndrome are hypothesized to play a role in birth defect mortality (<xref rid="R10" ref-type="bibr">Centers for Disease Control and Prevention [CDC], 1990</xref>), the current analyses accounted only for low birth weight and preterm birth. Given the complex landscape of factors associated with maternal race and ethnicity, to reduce infant mortality from birth defects, further work is needed to understand discrepancies that lie within social determinants associated with adverse infant outcomes.</p><p id="P22">In this study, unadjusted results showed infants with chromosomal or syndromic hydrocephaly had approximately five-times higher hazard of death, compared with infants born with isolated hydrocephaly. This finding is consistent with those from an international study concerning early neonatal hydrocephaly mortality that reported case fatality rates approximately 2.7 times higher among infants with syndromic versus nonsyndromic hydrocephaly (<xref rid="R14" ref-type="bibr">Gili et al., 2022</xref>). A previous Texas study also reported 88%, 63%, and 25% survival for infants with hydrocephaly with zero, one, and two co-occurring &#x0201c;life-threatening&#x0201d; defects, respectively, but did not focus on chromosomal or syndromic defects specifically (<xref rid="R27" ref-type="bibr">Nembhard et al., 2001</xref>).</p><p id="P23">Similarly, the unadjusted results showed low birthweight (&#x0003c;2500 grams) was significantly associated with higher mortality. Further, unadjusted preterm birth was associated with infant mortality among this population. Gestational age and birthweight play a crucial role in survival among infants without birth defects and might also be important among those with birth defects. For instance, Benjamin et al. reported that preterm and low birth weight contributed to 10% of deaths among all infants with birth defects in Texas (<xref rid="R7" ref-type="bibr">Benjamin et al., 2021</xref>). Similarly, a national-level analysis of linked birth defects and infant death records for infants born to U.S. residents during 2002&#x02013;2017 reported increased mortality rates among preterm infants with birth defects born at 32&#x02013;36 weeks (<xref rid="R4" ref-type="bibr">Almli et al., 2020</xref>). Prematurity and low-birth weight pose increased health concerns because of conditions such as premature lungs, difficulty with feeding and risk for infection, which might influence mortality hazard in infants with existing hydrocephaly.</p><p id="P24">Based on unadjusted results, the current study also reported that over the 19 years of the study&#x02019;s cohort (from 1999 to 2017), infants born before 2012 were at an increased risk for mortality (16% higher), compared with those born in years after 2012. These findings suggest some improvement in clinical care and wraparound services in terms of timely identification and referrals. Examples of potential improvement in prenatal and neonatal clinical care over time include advances in prenatal diagnosis, neonatal care (including intensive care, standard use of antenatal steroids, and surfactant therapy for prevention of neonatal mortality and morbidity in preterm births), early surgical interventions, extracorporeal membrane oxygenation, care centralization, and treatment and transplantation of certain organs or body systems (for those with co-occurring defects) (<xref rid="R15" ref-type="bibr">Glinianaia et al., 2020</xref>). Similarly, results of a meta-analyses showed statistically significant improvement in survival over time among infants with spina bifida, esophageal atresia, biliary atresia, congenital heart defects (CHD), gastroschisis, and Down syndrome with CHD, but not with encephalocele, biliary atresia with a native liver or Down syndrome without CHD (<xref rid="R15" ref-type="bibr">Glinianaia et al., 2020</xref>).</p><p id="P25">Strengths of this study include new information for an under published topic, regarding the survival of infants with hydrocephaly in Texas. This analysis used statewide data collected through a large public health surveillance system with active ascertainment of birth defects, accounting for approximately 1 in 10 annual births in the United States (<xref rid="R2" ref-type="bibr">Agha et al., 2006</xref>). Finally, this study used a substantial sample size, resulting in relatively precise estimates for survival estimates and HRs.</p><p id="P26">Study limitations include reliance on state-level vital records, although our prior work suggests that only a limited number of infant deaths might occur out of state for infants with birth defects born in Texas (<xref rid="R27" ref-type="bibr">Nembhard et al., 2001</xref>). Assumptions about proportionality of hazards held for main variable of interest (race/ethnicity) and other covariates with exception of gestational age and less than high school category of maternal education. This analysis included some infants who might have had hydrocephaly that developed early in infancy rather than in utero. However, hydrocephaly that was likely secondary to another select documented anomaly was excluded from the analysis. This study did not conduct separate analyses for infant survival and for each confounding maternal and infant characteristics, which might have addressed bias introduced by intermediate variables in the causal pathway. Additional clinical variables that were not available (e.g., full diagnostic details, treatment strategies, and other clinical information) might shed additional light on mortality risk in future studies. In this analysis racial and ethnic groups other than NH White, NH Black, and Hispanic were collapsed into one additional groups category due to small sizes. Therefore, this may not be a full examination of all racial/ethnic differences in infant survival by maternal race/ethnicity. Although research on causal pathways has increased, most cases of hydrocephaly remain genetically unexplained from a clinical diagnosis and treatment standpoint and can play a role in infant survival (<xref rid="R3" ref-type="bibr">Allington et al., 2021</xref>; <xref rid="R35" ref-type="bibr">Tully &#x00026; Dobyns, 2014</xref>). Therefore, results of this study should be interpreted cautiously.</p></sec><sec id="S12"><label>5 |</label><title>CONCLUSIONS</title><p id="P27">This study confirms that mortality continues to be common among infants with hydrocephaly in a Texas cohort, which highlights the need for new avenues to work toward identification of modifiable mortality risk factors among affected infants. As a next step in this direction, the study identified racial and ethnic differences in infant survival for hydrocephaly and potential differences by clinical classification, gestational age, birth weight, birth year, and maternal education. Some of these potential associations might identify candidate risk factors that can be considered for future hypothesis-testing analytic approaches, such as time analyses. Such further research is expected to ultimately help elucidate the underlying causal pathways involved and might translate to clinical strategies for improving infant survival for hydrocephaly.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Supplement B</label><media xlink:href="NIHMS1953375-supplement-Supplement_B.xlsx" id="d64e446" position="anchor"/></supplementary-material><supplementary-material id="SD2" position="float" content-type="local-data"><label>Supplement A</label><media xlink:href="NIHMS1953375-supplement-Supplement_A.xlsx" id="d64e449" position="anchor"/></supplementary-material></sec></body><back><ack id="S14"><p id="P28">The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.</p></ack><fn-group><fn id="FN1"><p id="P30">SUPPORTING INFORMATION</p><p id="P31">Additional supporting information can be found online in the <xref rid="SD2" ref-type="supplementary-material">Supporting Information section</xref> at the end of this article.</p></fn></fn-group><sec sec-type="data-availability" id="S13"><title>DATA AVAILABILITY STATEMENT</title><p id="P29">The data that supported this study are available upon application to the Texas Birth Defects Registry and Texas Department of State Health Services Institutional Review Board.</p></sec><ref-list><title>REFERENCES</title><ref id="R1"><mixed-citation publication-type="journal"><name><surname>Acakpo-Satchivi</surname><given-names>L</given-names></name>, <name><surname>Shannon</surname><given-names>CN</given-names></name>, <name><surname>Tubbs</surname><given-names>RS</given-names></name>, <name><surname>Wellons</surname><given-names>JC</given-names></name>, <name><surname>Blount</surname><given-names>JP</given-names></name>, <name><surname>Iskandar</surname><given-names>BJ</given-names></name>, &#x00026; <name><surname>Oakes</surname><given-names>WJ</given-names></name> (<year>2008</year>). <article-title>Death inshunted hydrocephalic children: a follow-up study</article-title>. <source>Child&#x02019;s Nervous System</source>, <volume>24</volume>(<issue>2</issue>), <fpage>197</fpage>&#x02013;<lpage>201</lpage>.</mixed-citation></ref><ref id="R2"><mixed-citation publication-type="journal"><name><surname>Agha</surname><given-names>MM</given-names></name>, <name><surname>Williams</surname><given-names>JI</given-names></name>, <name><surname>Marrett</surname><given-names>L</given-names></name>, <name><surname>To</surname><given-names>T</given-names></name>, &#x00026; <name><surname>Dodds</surname><given-names>L</given-names></name>. (<year>2006</year>). <article-title>Determinants of survival in children with congenital abnormalities: A long-term population-based cohort study</article-title>. <source>Birth Defects Research Part A: Clinical and Molecular Teratology</source>, <volume>76</volume>(<issue>1</issue>), <fpage>46</fpage>&#x02013;<lpage>54</lpage>.<pub-id pub-id-type="pmid">16397887</pub-id>
</mixed-citation></ref><ref id="R3"><mixed-citation publication-type="journal"><name><surname>Allington</surname><given-names>G</given-names></name>, <name><surname>Duy</surname><given-names>PQ</given-names></name>, <name><surname>Ryou</surname><given-names>J</given-names></name>, <name><surname>Singh</surname><given-names>A</given-names></name>, <name><surname>Kiziltug</surname><given-names>E</given-names></name>, <name><surname>Robert</surname><given-names>SM</given-names></name>, <name><surname>Kundishora</surname><given-names>AJ</given-names></name>, <name><surname>King</surname><given-names>S</given-names></name>, <name><surname>Haider</surname><given-names>S</given-names></name>, <name><surname>Kahle</surname><given-names>KT</given-names></name>, &#x00026; <name><surname>Jin</surname><given-names>SC</given-names></name> (<year>2021</year>). <article-title>Genomic approaches to improve the clinical diagnosis and management of patients with congenital hydrocephalus</article-title>. <source>Journal of Neurosurgery: Pediatrics</source>, <volume>29</volume>(<issue>2</issue>), <fpage>168</fpage>&#x02013;<lpage>177</lpage>.<pub-id pub-id-type="pmid">34715668</pub-id>
</mixed-citation></ref><ref id="R4"><mixed-citation publication-type="journal"><name><surname>Almli</surname><given-names>LM</given-names></name>, <name><surname>Ely</surname><given-names>DM</given-names></name>, <name><surname>Ailes</surname><given-names>EC</given-names></name>, <name><surname>Abouk</surname><given-names>R</given-names></name>, <name><surname>Grosse</surname><given-names>SD</given-names></name>, <name><surname>Isenburg</surname><given-names>JL</given-names></name>, <name><surname>Waldron</surname><given-names>DB</given-names></name>, &#x00026; <name><surname>Reefhuis</surname><given-names>J</given-names></name>. (<year>2020</year>). <article-title>Infant mortality attributable to birth defects&#x02014;United States, 2003&#x02013;2017. MMWR</article-title>. <source>Morbidity and Mortality Weekly Report</source>, <volume>69</volume>(<issue>2</issue>), <fpage>25</fpage>&#x02013;<lpage>29</lpage>.<pub-id pub-id-type="pmid">31945037</pub-id>
</mixed-citation></ref><ref id="R5"><mixed-citation publication-type="journal"><name><surname>Anderka</surname><given-names>M</given-names></name>, <name><surname>Mai</surname><given-names>CT</given-names></name>, <name><surname>Romitti</surname><given-names>PA</given-names></name>, <name><surname>Copeland</surname><given-names>G</given-names></name>, <name><surname>Isenburg</surname><given-names>J</given-names></name>, <name><surname>Feldkamp</surname><given-names>ML</given-names></name>, <name><surname>Krikov</surname><given-names>S</given-names></name>, <name><surname>Rickard</surname><given-names>R</given-names></name>, <name><surname>Olney</surname><given-names>RS</given-names></name>, <name><surname>Canfield</surname><given-names>MA</given-names></name>, <name><surname>Stanton</surname><given-names>C</given-names></name>, <name><surname>Mosley</surname><given-names>B</given-names></name>, &#x00026; <name><surname>Kirby</surname><given-names>RS</given-names></name> (<year>2015</year>). <article-title>Development and implementation of the first national data quality standards for population-based birth defects surveillance programs in the United States</article-title>. <source>BMC Public Health</source>, <volume>15</volume>, <fpage>925</fpage>.<pub-id pub-id-type="pmid">26386816</pub-id>
</mixed-citation></ref><ref id="R6"><mixed-citation publication-type="journal"><name><surname>Benjamin</surname><given-names>RH</given-names></name>, <name><surname>Canfield</surname><given-names>MA</given-names></name>, <name><surname>Marengo</surname><given-names>LK</given-names></name>, &#x00026; <name><surname>Agopian</surname><given-names>AJ</given-names></name> (<year>2023</year>). <article-title>Contribution of preterm birth to mortality among neonates with birth defects</article-title>. <source>The Journal of Pediatrics</source>, <volume>253</volume>, <fpage>270</fpage>&#x02013;<lpage>277</lpage>.<pub-id pub-id-type="pmid">36228684</pub-id>
</mixed-citation></ref><ref id="R7"><mixed-citation publication-type="journal"><name><surname>Benjamin</surname><given-names>RH</given-names></name>, <name><surname>Salemi</surname><given-names>JL</given-names></name>, <name><surname>Canfield</surname><given-names>MA</given-names></name>, <name><surname>Nembhard</surname><given-names>WN</given-names></name>, <name><surname>Ganduglia Cazaban</surname><given-names>C</given-names></name>, <name><surname>Tsao</surname><given-names>K</given-names></name>, <name><surname>Johnson</surname><given-names>A</given-names></name>, &#x00026; <name><surname>Agopian</surname><given-names>AJ</given-names></name> (<year>2021</year>). <article-title>Causes of neonatal and postneonatal death among infants with birth defects in Texas</article-title>. <source>Birth Defects Research</source>, <volume>113</volume>(<issue>9</issue>), <fpage>665</fpage>&#x02013;<lpage>675</lpage>.<pub-id pub-id-type="pmid">33586914</pub-id>
</mixed-citation></ref><ref id="R8"><mixed-citation publication-type="journal"><name><surname>Benjamin</surname><given-names>RH</given-names></name>, <name><surname>Scheuerle</surname><given-names>AE</given-names></name>, <name><surname>Scott</surname><given-names>DA</given-names></name>, <name><surname>Navarro Sanchez</surname><given-names>ML</given-names></name>, <name><surname>Langlois</surname><given-names>PH</given-names></name>, <name><surname>Canfield</surname><given-names>MA</given-names></name>, <name><surname>Northrup</surname><given-names>H</given-names></name>, <name><surname>Schaaf</surname><given-names>CP</given-names></name>, <name><surname>Ray</surname><given-names>JW</given-names></name>, <name><surname>McLean</surname><given-names>SD</given-names></name>, &#x00026; <name><surname>Agopian</surname><given-names>AJ</given-names></name> (<year>2022</year>). <article-title>Birth defect co-occurrence patterns in the Texas birth defects registry</article-title>. <source>Pediatric Research</source>, <volume>91</volume>(<issue>5</issue>), <fpage>1278</fpage>&#x02013;<lpage>1285</lpage>.<pub-id pub-id-type="pmid">34193968</pub-id>
</mixed-citation></ref><ref id="R9"><mixed-citation publication-type="journal"><name><surname>Casey</surname><given-names>ATH</given-names></name>, <name><surname>Kimmings</surname><given-names>EJ</given-names></name>, <name><surname>Kleinlugtebeld</surname><given-names>AD</given-names></name>, <name><surname>Taylor</surname><given-names>WAS</given-names></name>, <name><surname>Harkness</surname><given-names>WF</given-names></name>, &#x00026; <name><surname>Hayward</surname><given-names>RD</given-names></name> (<year>1997</year>). <article-title>The long-term outlook for hydrocephalus in childhood</article-title>. <source>Pediatric Neurosurgery</source>, <volume>27</volume>(<issue>2</issue>), <fpage>63</fpage>&#x02013;<lpage>70</lpage>.<pub-id pub-id-type="pmid">9520077</pub-id>
</mixed-citation></ref><ref id="R10"><mixed-citation publication-type="journal"><collab>Centers for Disease Control and Prevention (CDC)</collab>. (<year>1990</year>). <article-title>Reports on selected racial/ethnic groups special focus: Maternal and child health contribution of birth defects to infant mortality among racial/ethnic minority groups, United States, 1983. MMWR</article-title>. <source>Morbidity and Mortality Weekly Report</source>, <volume>39</volume>(<issue>SS-3</issue>), <fpage>1</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="pmid">2294395</pub-id>
</mixed-citation></ref><ref id="R11"><mixed-citation publication-type="journal"><name><surname>Copeland</surname><given-names>GE</given-names></name>, &#x00026; <name><surname>Kirby</surname><given-names>RS</given-names></name> (<year>2007</year>). <article-title>Using birth defects registry data to evaluate infant and childhood mortality associated with birth defects: An alternative to traditional mortality assessment using underlying cause of death statistics</article-title>. <source>Birth Defects Research Part A: Clinical and Molecular Teratology</source>, <volume>79</volume>(<issue>11</issue>), <fpage>792</fpage>&#x02013;<lpage>797</lpage>.<pub-id pub-id-type="pmid">17990340</pub-id>
</mixed-citation></ref><ref id="R12"><mixed-citation publication-type="journal"><name><surname>Ely</surname><given-names>DM</given-names></name>, &#x00026; <name><surname>Driscoll</surname><given-names>AK</given-names></name> (<year>2019</year>). <article-title>Infant mortality in the United States, 2017: Data from the period linked birth/infant death file</article-title>. <source>National Vital Statistics Reports</source>, <volume>58</volume>(<issue>10</issue>), <fpage>1</fpage>&#x02013;<lpage>18</lpage>. <comment><ext-link xlink:href="https://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_10.pdf" ext-link-type="uri">https://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_10.pdf</ext-link></comment></mixed-citation></ref><ref id="R13"><mixed-citation publication-type="journal"><name><surname>Fernell</surname><given-names>E</given-names></name>, <name><surname>Hagberg</surname><given-names>G</given-names></name>, &#x00026; <name><surname>Hagberg</surname><given-names>B</given-names></name>. (<year>1994</year>). <article-title>Infantile hydrocephalus epidemiology: An indicator of enhanced survival. Archives of Disease in Childhood</article-title>. <source>Fetal and Neonatal Edition</source>, <volume>70</volume>(<issue>2</issue>), <fpage>F123</fpage>&#x02013;<lpage>F128</lpage>.<pub-id pub-id-type="pmid">8154905</pub-id>
</mixed-citation></ref><ref id="R14"><mixed-citation publication-type="journal"><name><surname>Gili</surname><given-names>JA</given-names></name>, <name><surname>L&#x000f3;pez-Camelo</surname><given-names>JS</given-names></name>, <name><surname>Nembhard</surname><given-names>WN</given-names></name>, <name><surname>Bakker</surname><given-names>M</given-names></name>, <name><surname>de Walle</surname><given-names>HEK</given-names></name>, <name><surname>Stallings</surname><given-names>EB</given-names></name>, <name><surname>Kancherla</surname><given-names>V</given-names></name>, <collab>ECEMC Peripheral Group</collab>, <name><surname>Contiero</surname><given-names>P</given-names></name>, <name><surname>Dastgiri</surname><given-names>S</given-names></name>, <name><surname>Feldkamp</surname><given-names>ML</given-names></name>, <name><surname>Nance</surname><given-names>A</given-names></name>, <name><surname>Gatt</surname><given-names>M</given-names></name>, <name><surname>Mart&#x000ed;nez</surname><given-names>L</given-names></name>, <name><surname>Canessa</surname><given-names>MA</given-names></name>, <name><surname>Groisman</surname><given-names>B</given-names></name>, <name><surname>Hurtado-Villa</surname><given-names>P</given-names></name>, <name><surname>K&#x000e4;ll&#x000e9;n</surname><given-names>K</given-names></name>, <name><surname>Landau</surname><given-names>D</given-names></name>, &#x02026; <name><surname>Mastroiacovo</surname><given-names>P</given-names></name>. (<year>2022</year>). <article-title>Analysis of early neonatal case fatality rate among newborns with congenital hydrocephalus, a 2000&#x02013;2014 multi-country registry-based study</article-title>. <source>Birth Defects Research</source>, <volume>114</volume>(<issue>12</issue>), <fpage>631</fpage>&#x02013;<lpage>644</lpage>.<pub-id pub-id-type="pmid">35633200</pub-id>
</mixed-citation></ref><ref id="R15"><mixed-citation publication-type="journal"><name><surname>Glinianaia</surname><given-names>SV</given-names></name>, <name><surname>Morris</surname><given-names>JK</given-names></name>, <name><surname>Best</surname><given-names>KE</given-names></name>, <name><surname>Santoro</surname><given-names>M</given-names></name>, <name><surname>Coi</surname><given-names>A</given-names></name>, <name><surname>Armaroli</surname><given-names>A</given-names></name>, &#x00026; <name><surname>Rankin</surname><given-names>J</given-names></name>. (<year>2020</year>). <article-title>Long-term survival of children born with congenital anomalies: A systematic review and meta-analysis of population-based studies</article-title>. <source>PLoS Medicine</source>, <volume>17</volume>(<issue>9</issue>), <fpage>e1003356</fpage>.<pub-id pub-id-type="pmid">32986711</pub-id>
</mixed-citation></ref><ref id="R16"><mixed-citation publication-type="book"><name><surname>Harrell</surname><given-names>FE</given-names></name> (<year>2001</year>). <source>Regression modeling strategies: With applications to linear models, logistic regression, and survival analysis</source>. <publisher-name>Springer-Verlag</publisher-name>.</mixed-citation></ref><ref id="R17"><mixed-citation publication-type="journal"><name><surname>Isaacs</surname><given-names>AM</given-names></name>, <name><surname>Riva-Cambrin</surname><given-names>J</given-names></name>, <name><surname>Yavin</surname><given-names>D</given-names></name>, <name><surname>Hockley</surname><given-names>A</given-names></name>, <name><surname>Pringsheim</surname><given-names>TM</given-names></name>, <name><surname>Jette</surname><given-names>N</given-names></name>, <name><surname>Lethebe</surname><given-names>BC</given-names></name>, <name><surname>Lowerison</surname><given-names>M</given-names></name>, <name><surname>Dronyk</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Hamilton</surname><given-names>MG</given-names></name> (<year>2018</year>). <article-title>Age-specific global epidemiology of hydrocephalus: Systematic review, metanalysis and global birth surveillance</article-title>. <source>PLoS One</source>, <volume>13</volume>(<issue>10</issue>), <fpage>e0204926</fpage>.<pub-id pub-id-type="pmid">30273390</pub-id>
</mixed-citation></ref><ref id="R18"><mixed-citation publication-type="journal"><name><surname>Iskandar</surname><given-names>BJ</given-names></name>, <name><surname>Tubbs</surname><given-names>R</given-names></name>, <name><surname>Mapstone</surname><given-names>TB</given-names></name>, <name><surname>Grabb</surname><given-names>PA</given-names></name>, <name><surname>Bartolucci</surname><given-names>AA</given-names></name>, &#x00026; <name><surname>Oakes</surname><given-names>WJ</given-names></name> (<year>1998</year>). <article-title>Death in shunted hydrocephalic children in the 1990s</article-title>. <source>Pediatric Neurosurgery</source>, <volume>28</volume>(<issue>4</issue>), <fpage>173</fpage>&#x02013;<lpage>176</lpage>.<pub-id pub-id-type="pmid">9732242</pub-id>
</mixed-citation></ref><ref id="R19"><mixed-citation publication-type="journal"><name><surname>Kassebaum</surname><given-names>N</given-names></name>, <name><surname>Kyu</surname><given-names>HH</given-names></name>, <name><surname>Zoeckler</surname><given-names>L</given-names></name>, <name><surname>Olsen</surname><given-names>HE</given-names></name>, <name><surname>Thomas</surname><given-names>K</given-names></name>, <name><surname>Pinho</surname><given-names>C</given-names></name>, &#x00026; <name><surname>Meaney</surname><given-names>PA</given-names></name>. (<year>2017</year>). <article-title>Child and adolescent healthfrom 1990 to 2015: findings from the global burden of diseases, injuries, andrisk factors 2015 study</article-title>. <source>JAMA Pediatrics</source>, <volume>171</volume>(<issue>6</issue>), <fpage>573</fpage>&#x02013;<lpage>592</lpage>.<pub-id pub-id-type="pmid">28384795</pub-id>
</mixed-citation></ref><ref id="R20"><mixed-citation publication-type="journal"><name><surname>Langlois</surname><given-names>PH</given-names></name>, <name><surname>Marengo</surname><given-names>L</given-names></name>, <name><surname>Lupo</surname><given-names>PJ</given-names></name>, <name><surname>Drummond-Borg</surname><given-names>M</given-names></name>, <name><surname>Agopian</surname><given-names>AJ</given-names></name>, <name><surname>Nembhard</surname><given-names>WN</given-names></name>, &#x00026; <name><surname>Canfield</surname><given-names>MA</given-names></name> (<year>2023</year>). <article-title>Evaluating the proportion of isolated cases among a spectrum of birth defects in a population-based registry</article-title>. <source>Birth Defects Research</source>, <volume>115</volume>(<issue>1</issue>), <fpage>21</fpage>&#x02013;<lpage>25</lpage>.<pub-id pub-id-type="pmid">35218607</pub-id>
</mixed-citation></ref><ref id="R21"><mixed-citation publication-type="journal"><name><surname>Lopez</surname><given-names>KN</given-names></name>, <name><surname>Nembhard</surname><given-names>WN</given-names></name>, <name><surname>Wang</surname><given-names>Y</given-names></name>, <name><surname>Liu</surname><given-names>G</given-names></name>, <name><surname>Kucik</surname><given-names>JE</given-names></name>, <name><surname>Copeland</surname><given-names>G</given-names></name>, <name><surname>Gilboa</surname><given-names>SM</given-names></name>, <name><surname>Kirby</surname><given-names>RS</given-names></name>, &#x00026; <name><surname>Canfield</surname><given-names>M</given-names></name>. (<year>2018</year>). <article-title>Birth defect survival for Hispanic subgroups</article-title>. <source>Birth Defects Research</source>, <volume>110</volume>(<issue>4</issue>), <fpage>352</fpage>&#x02013;<lpage>363</lpage>.<pub-id pub-id-type="pmid">29195034</pub-id>
</mixed-citation></ref><ref id="R22"><mixed-citation publication-type="journal"><name><surname>Marengo</surname><given-names>LK</given-names></name>, <name><surname>Archer</surname><given-names>N</given-names></name>, <name><surname>Shumate</surname><given-names>C</given-names></name>, <name><surname>Canfield</surname><given-names>MA</given-names></name>, &#x00026; <name><surname>Drummond-Borg</surname><given-names>M</given-names></name>. (<year>2023</year>). <article-title>Survival of infants and children born with severe microcephaly, Texas, 1999&#x02013;2015</article-title>. <source>Birth Defects Research</source>, <volume>115</volume>(<issue>1</issue>), <fpage>26</fpage>&#x02013;<lpage>42</lpage>.<pub-id pub-id-type="pmid">36345841</pub-id>
</mixed-citation></ref><ref id="R23"><mixed-citation publication-type="journal"><name><surname>Marengo</surname><given-names>LK</given-names></name>, <name><surname>Hoyt</surname><given-names>AT</given-names></name>, &#x00026; <name><surname>Canfield</surname><given-names>MA</given-names></name> (<year>2014</year>). <article-title>The utility of the National Death Index as a supplemental data source in ascertaining 5-year mortality among Texas heterotaxy cases</article-title>. <source>Journal of Registry Management</source>, <volume>41</volume>(<issue>1</issue>), <fpage>4</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="pmid">24893181</pub-id>
</mixed-citation></ref><ref id="R24"><mixed-citation publication-type="journal"><name><surname>Martin-Giacalone</surname><given-names>BA</given-names></name>, <name><surname>Lin</surname><given-names>AE</given-names></name>, <name><surname>Rasmussen</surname><given-names>SA</given-names></name>, <name><surname>Kirby</surname><given-names>RS</given-names></name>, <name><surname>Nestoridi</surname><given-names>E</given-names></name>, <name><surname>Liberman</surname><given-names>RF</given-names></name>, <name><surname>Agopian</surname><given-names>AJ</given-names></name>, <name><surname>Carey</surname><given-names>JC</given-names></name>, <name><surname>Cragan</surname><given-names>JD</given-names></name>, <name><surname>Forestieri</surname><given-names>N</given-names></name>, &#x00026; <name><surname>Lupo</surname><given-names>PJ</given-names></name> (<year>2023</year>). <article-title>Prevalence and descriptive epidemiology of turner syndrome in the United States, 2000&#x02013;2017: A report from the National Birth Defects Prevention Network</article-title>. <source>American Journal of Medical Genetics Part A</source>., <volume>191</volume>, <fpage>1339</fpage>&#x02013;<lpage>1349</lpage>.<pub-id pub-id-type="pmid">36919524</pub-id>
</mixed-citation></ref><ref id="R25"><mixed-citation publication-type="journal"><name><surname>Miller</surname><given-names>E</given-names></name>. (<year>2006</year>). <article-title>Evaluation of the Texas birth defects registry: An active surveillance system</article-title>. <source>Birth Defects Research Part A: Clinical and Molecular Teratology</source>, <volume>76</volume>(<issue>11</issue>), <fpage>787</fpage>&#x02013;<lpage>792</lpage>.<pub-id pub-id-type="pmid">17094140</pub-id>
</mixed-citation></ref><ref id="R26"><mixed-citation publication-type="journal"><name><surname>Nembhard</surname><given-names>WN</given-names></name>, <name><surname>Salemi</surname><given-names>JL</given-names></name>, <name><surname>Ethen</surname><given-names>MK</given-names></name>, <name><surname>Fixler</surname><given-names>DE</given-names></name>, &#x00026; <name><surname>Canfield</surname><given-names>MA</given-names></name> (<year>2010</year>). <article-title>Mortality among infants with birth defects: Joint effects of size at birth, gestational age, and maternal race/ethnicity</article-title>. <source>Birth Defects Research Part A: Clinical and Molecular Teratology</source>, <volume>88</volume>(<issue>9</issue>), <fpage>728</fpage>&#x02013;<lpage>736</lpage>.<pub-id pub-id-type="pmid">20672351</pub-id>
</mixed-citation></ref><ref id="R27"><mixed-citation publication-type="journal"><name><surname>Nembhard</surname><given-names>WN</given-names></name>, <name><surname>Waller</surname><given-names>DK</given-names></name>, <name><surname>Sever</surname><given-names>LE</given-names></name>, &#x00026; <name><surname>Canfield</surname><given-names>MA</given-names></name> (<year>2001</year>). <article-title>Patterns of first-year survival among infants with selected congenital anomalies in Texas, 1995&#x02013;1997</article-title>. <source>Teratology</source>, <volume>64</volume>(<issue>5</issue>), <fpage>267</fpage>&#x02013;<lpage>275</lpage>.<pub-id pub-id-type="pmid">11745833</pub-id>
</mixed-citation></ref><ref id="R28"><mixed-citation publication-type="journal"><name><surname>Oster</surname><given-names>ME</given-names></name>, <name><surname>Lee</surname><given-names>KA</given-names></name>, <name><surname>Honein</surname><given-names>MA</given-names></name>, <name><surname>Riehle-Colarusso</surname><given-names>T</given-names></name>, <name><surname>Shin</surname><given-names>M</given-names></name>, &#x00026; <name><surname>Correa</surname><given-names>A</given-names></name>. (<year>2013</year>). <article-title>Temporal trends in survival among infants with critical congenital heart defects</article-title>. <source>Pediatrics</source>, <volume>131</volume>(<issue>5</issue>), <fpage>e1502</fpage>&#x02013;<lpage>e1508</lpage>.<pub-id pub-id-type="pmid">23610203</pub-id>
</mixed-citation></ref><ref id="R29"><mixed-citation publication-type="journal"><name><surname>Pace</surname><given-names>ND</given-names></name>, <name><surname>Oster</surname><given-names>ME</given-names></name>, <name><surname>Forestieri</surname><given-names>NE</given-names></name>, <name><surname>Enright</surname><given-names>D</given-names></name>, <name><surname>Knight</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Meyer</surname><given-names>RE</given-names></name> (<year>2018</year>). <article-title>Sociodemographic factors and survival of infants with congenital heart defects</article-title>. <source>Pediatrics</source>, <volume>142</volume>(<issue>3</issue>), e20181084.</mixed-citation></ref><ref id="R30"><mixed-citation publication-type="journal"><name><surname>Persson</surname><given-names>EK</given-names></name>, <name><surname>Hagberg</surname><given-names>G</given-names></name>, &#x00026; <name><surname>Uvebrant</surname><given-names>P</given-names></name>. (<year>2005</year>). <article-title>Hydrocephalus prevalence and outcome in a population-based cohort of children born in 1989&#x02013;1998</article-title>. <source>Acta Paediatrica</source>, <volume>94</volume>(<issue>6</issue>), <fpage>726</fpage>&#x02013;<lpage>732</lpage>.<pub-id pub-id-type="pmid">16188776</pub-id>
</mixed-citation></ref><ref id="R31"><mixed-citation publication-type="journal"><name><surname>Ratnasiri</surname><given-names>AW</given-names></name>, <name><surname>Lakshminrusimha</surname><given-names>S</given-names></name>, <name><surname>Dieckmann</surname><given-names>RA</given-names></name>, <name><surname>Lee</surname><given-names>HC</given-names></name>, <name><surname>Gould</surname><given-names>JB</given-names></name>, <name><surname>Parry</surname><given-names>SS</given-names></name>, <name><surname>Arief</surname><given-names>VN</given-names></name>, <name><surname>DeLacy</surname><given-names>IH</given-names></name>, <name><surname>DiLibero</surname><given-names>RJ</given-names></name>, &#x00026; <name><surname>Basford</surname><given-names>KE</given-names></name> (<year>2020</year>). <article-title>Maternal and infant predictors of infant mortality in California, 2007&#x02013;2015</article-title>. <source>PLoS One</source>, <volume>15</volume>(<issue>8</issue>), <fpage>e0236510</fpage>.<pub-id pub-id-type="pmid">32790765</pub-id>
</mixed-citation></ref><ref id="R32"><mixed-citation publication-type="journal"><name><surname>Shi</surname><given-names>L</given-names></name>, <name><surname>Macinko</surname><given-names>J</given-names></name>, <name><surname>Starfield</surname><given-names>B</given-names></name>, <name><surname>Xu</surname><given-names>J</given-names></name>, <name><surname>Regan</surname><given-names>J</given-names></name>, <name><surname>Politzer</surname><given-names>R</given-names></name>, &#x00026; <name><surname>Wulu</surname><given-names>J</given-names></name>. (<year>2004</year>). <article-title>Primary care, infant mortality, and low birth weight in the states of the USA</article-title>. <source>Journal of Epidemiology &#x00026; Community Health</source>, <volume>58</volume>(<issue>5</issue>), <fpage>374</fpage>&#x02013;<lpage>380</lpage>.<pub-id pub-id-type="pmid">15082734</pub-id>
</mixed-citation></ref><ref id="R33"><mixed-citation publication-type="journal"><name><surname>Singh</surname><given-names>GK</given-names></name>, &#x00026; <name><surname>Stella</surname><given-names>MY</given-names></name> (<year>2019</year>). <article-title>Infant mortality in the United States, 1915&#x02013;2017: Large social inequalities have persisted for over a century</article-title>. <source>International Journal of Maternal and Child Health and AIDS</source>, <volume>8</volume>(<issue>1</issue>), <fpage>19</fpage>&#x02013;<lpage>31</lpage>.<pub-id pub-id-type="pmid">31049261</pub-id>
</mixed-citation></ref><ref id="R34"><mixed-citation publication-type="webpage"><source>Texas Birth Defects Registry, Report of Birth Defects Among 1999&#x02013;2016 Deliveries</source>. <comment>(n.d.)</comment>. <comment><ext-link xlink:href="https://www.dshs.texas.gov/birthdefects/data/BD_Data_99-17/PDF/1999-2017-TxBDR-Prev-Overall.pdf" ext-link-type="uri">https://www.dshs.texas.gov/birthdefects/data/BD_Data_99-17/PDF/1999-2017-TxBDR-Prev-Overall.pdf</ext-link></comment></mixed-citation></ref><ref id="R35"><mixed-citation publication-type="journal"><name><surname>Tully</surname><given-names>HM</given-names></name>, &#x00026; <name><surname>Dobyns</surname><given-names>WB</given-names></name> (<year>2014</year>). <article-title>Infantile hydrocephalus: A review of epidemiology, classification and causes</article-title>. <source>European Journal of Medical Genetics</source>, <volume>57</volume>(<issue>8</issue>), <fpage>359</fpage>&#x02013;<lpage>368</lpage>.<pub-id pub-id-type="pmid">24932902</pub-id>
</mixed-citation></ref><ref id="R36"><mixed-citation publication-type="journal"><name><surname>Vendola</surname><given-names>C</given-names></name>, <name><surname>Canfield</surname><given-names>M</given-names></name>, <name><surname>Daiger</surname><given-names>SP</given-names></name>, <name><surname>Gambello</surname><given-names>M</given-names></name>, <name><surname>Hashmi</surname><given-names>SS</given-names></name>, <name><surname>King</surname><given-names>T</given-names></name>, <name><surname>Noblin</surname><given-names>SJ</given-names></name>, <name><surname>Waller</surname><given-names>DK</given-names></name>, &#x00026; <name><surname>Hecht</surname><given-names>JT</given-names></name> (<year>2010</year>). <article-title>Survival of Texas infants born with trisomies 21, 18, and 13</article-title>. <source>American Journal of Medical Genetics Part A</source>, <volume>152</volume>(<issue>2</issue>), <fpage>360</fpage>&#x02013;<lpage>366</lpage>.</mixed-citation></ref><ref id="R37"><mixed-citation publication-type="journal"><name><surname>Vinchon</surname><given-names>M</given-names></name>, <name><surname>Rekate</surname><given-names>H</given-names></name>, &#x00026; <name><surname>Kulkarni</surname><given-names>AV</given-names></name> (<year>2012</year>). <article-title>Pediatric hydrocephalus outcomes: A review</article-title>. <source>Fluids and Barriers of the CNS</source>, <volume>9</volume>(<issue>1</issue>), <fpage>1</fpage>&#x02013;<lpage>10</lpage>.<pub-id pub-id-type="pmid">22239832</pub-id>
</mixed-citation></ref><ref id="R38"><mixed-citation publication-type="journal"><name><surname>Wang</surname><given-names>Y</given-names></name>, <name><surname>Hu</surname><given-names>J</given-names></name>, <name><surname>Druschel</surname><given-names>CM</given-names></name>, &#x00026; <name><surname>Kirby</surname><given-names>RS</given-names></name> (<year>2011</year>). <article-title>Twenty-five-year survival of children with birth defects in New York state: A population-based study</article-title>. <source>Birth Defects Research Part A: Clinical and Molecular Teratology</source>, <volume>91</volume>(<issue>12</issue>), <fpage>995</fpage>&#x02013;<lpage>1003</lpage>.<pub-id pub-id-type="pmid">21960515</pub-id>
</mixed-citation></ref><ref id="R39"><mixed-citation publication-type="journal"><name><surname>Yang</surname><given-names>Q</given-names></name>, <name><surname>Chen</surname><given-names>H</given-names></name>, <name><surname>Correa</surname><given-names>A</given-names></name>, <name><surname>Devine</surname><given-names>O</given-names></name>, <name><surname>Mathews</surname><given-names>TJ</given-names></name>, &#x00026; <name><surname>Honein</surname><given-names>MA</given-names></name> (<year>2006</year>). <article-title>Racial differences in infant mortality attributable to birth defects in the United States, 1989&#x02013;2002</article-title>. <source>Birth Defects Research Part A: Clinical and Molecular Teratology</source>, <volume>76</volume>(<issue>10</issue>), <fpage>706</fpage>&#x02013;<lpage>713</lpage>.<pub-id pub-id-type="pmid">17022030</pub-id>
</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>FIGURE 1</label><caption><p id="P32">One-year Kaplan&#x02013;Meier survival estimates for infants born with hydrocephaly without spina bifida, Texas, 1999&#x02013;2017. Modeled one-year survival estimates among infants born with hydrocephaly with censoring at 364 days.</p></caption><graphic xlink:href="nihms-1953375-f0001" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>TABLE 1</label><caption><p id="P33">Distribution of infants born with hydrocephaly without spina bifida and selected cofactors, stratified by classification category, Texas, 1999&#x02013;2017<sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup> (<italic toggle="yes">N</italic> = 5709).</p></caption><table frame="below" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Variable</th><th align="left" valign="top" rowspan="1" colspan="1">Categories</th><th align="left" valign="top" rowspan="1" colspan="1">Frequency</th><th align="left" valign="top" rowspan="1" colspan="1">Percent</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal race and ethnicity</td><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic White</td><td align="left" valign="top" rowspan="1" colspan="1">1983</td><td align="left" valign="top" rowspan="1" colspan="1">34.78</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic Black</td><td align="left" valign="top" rowspan="1" colspan="1">762</td><td align="left" valign="top" rowspan="1" colspan="1">13.37</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">2764</td><td align="left" valign="top" rowspan="1" colspan="1">48.48</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Additional groups<sup><xref rid="TFN2" ref-type="table-fn">b</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">192</td><td align="left" valign="top" rowspan="1" colspan="1">3.37</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Classification</td><td align="left" valign="top" rowspan="1" colspan="1">Chromosomal and syndromic</td><td align="left" valign="top" rowspan="1" colspan="1">900</td><td align="left" valign="top" rowspan="1" colspan="1">15.76</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Isolated</td><td align="left" valign="top" rowspan="1" colspan="1">1524</td><td align="left" valign="top" rowspan="1" colspan="1">26.69</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Multiple</td><td align="left" valign="top" rowspan="1" colspan="1">3058</td><td align="left" valign="top" rowspan="1" colspan="1">53.56</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gestational age</td><td align="left" valign="top" rowspan="1" colspan="1">Preterm &#x0003c;37 weeks</td><td align="left" valign="top" rowspan="1" colspan="1">2428</td><td align="left" valign="top" rowspan="1" colspan="1">42.53</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Term &#x02265;37 weeks</td><td align="left" valign="top" rowspan="1" colspan="1">3281</td><td align="left" valign="top" rowspan="1" colspan="1">57.47</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth weight</td><td align="left" valign="top" rowspan="1" colspan="1">Low birth weight &#x0003c; 2500 grams</td><td align="left" valign="top" rowspan="1" colspan="1">2341</td><td align="left" valign="top" rowspan="1" colspan="1">41.01</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Normal birth weight &#x02265; 2500 grams</td><td align="left" valign="top" rowspan="1" colspan="1">3368</td><td align="left" valign="top" rowspan="1" colspan="1">58.99</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth year</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;2012</td><td align="left" valign="top" rowspan="1" colspan="1">3578</td><td align="left" valign="top" rowspan="1" colspan="1">62.67</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;2012</td><td align="left" valign="top" rowspan="1" colspan="1">2131</td><td align="left" valign="top" rowspan="1" colspan="1">37.33</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal education</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;12 years</td><td align="left" valign="top" rowspan="1" colspan="1">1579</td><td align="left" valign="top" rowspan="1" colspan="1">28.51</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">12 years</td><td align="left" valign="top" rowspan="1" colspan="1">1699</td><td align="left" valign="top" rowspan="1" colspan="1">30.68</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;12 years</td><td align="left" valign="top" rowspan="1" colspan="1">2260</td><td align="left" valign="top" rowspan="1" colspan="1">40.81</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal age</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;35 years</td><td align="left" valign="top" rowspan="1" colspan="1">4890</td><td align="left" valign="top" rowspan="1" colspan="1">85.65</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;35 years</td><td align="left" valign="top" rowspan="1" colspan="1">819</td><td align="left" valign="top" rowspan="1" colspan="1">14.35</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>a</label><p id="P34">Only live-born infants with hydrocephaly without spina bifida were included in the analysis. Not all maternal and infant characteristics categories add up to the total because of missing data.</p></fn><fn id="TFN2"><label>b</label><p id="P35">Additional Groups race and ethnicity category included non-Hispanic Asian, non-Hispanic Native Hawaiian and Pacific Islander, non-Hispanic American Indian and Alaskan Native, and non-Hispanic two or more races.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>TABLE 2</label><caption><p id="P36">Survival estimates (%, with 95 CI) for infants born with hydrocephaly without spina bifida and selected cofactors, Texas, 1999&#x02013;2017 (<italic toggle="yes">N</italic> = 5709).<sup><xref rid="TFN3" ref-type="table-fn">a</xref></sup></p></caption><table frame="below" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Variable</th><th align="left" valign="top" rowspan="1" colspan="1">Categories</th><th align="left" valign="top" rowspan="1" colspan="1">Infants No.</th><th align="left" valign="top" rowspan="1" colspan="1">Deaths No.</th><th align="left" valign="top" rowspan="1" colspan="1">Survival estimate (%)</th><th align="left" valign="top" rowspan="1" colspan="1">95% CI</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Overall</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">5709</td><td align="left" valign="top" rowspan="1" colspan="1">980</td><td align="left" valign="top" rowspan="1" colspan="1">82.83</td><td align="left" valign="top" rowspan="1" colspan="1">81.83&#x02013;83.78</td></tr><tr><td rowspan="4" align="left" valign="top" colspan="1">Maternal race and ethnicity</td><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic White</td><td align="left" valign="top" rowspan="1" colspan="1">1983</td><td align="left" valign="top" rowspan="1" colspan="1">271</td><td align="left" valign="top" rowspan="1" colspan="1">86.33</td><td align="left" valign="top" rowspan="1" colspan="1">84.74&#x02013;87.77</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic Black</td><td align="left" valign="top" rowspan="1" colspan="1">762</td><td align="left" valign="top" rowspan="1" colspan="1">145</td><td align="left" valign="top" rowspan="1" colspan="1">80.97</td><td align="left" valign="top" rowspan="1" colspan="1">78.00&#x02013;83.58</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">2763</td><td align="left" valign="top" rowspan="1" colspan="1">538</td><td align="left" valign="top" rowspan="1" colspan="1">80.53</td><td align="left" valign="top" rowspan="1" colspan="1">79.00&#x02013;81.96</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Additional groups<sup><xref rid="TFN4" ref-type="table-fn">b</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">192</td><td align="left" valign="top" rowspan="1" colspan="1">26</td><td align="left" valign="top" rowspan="1" colspan="1">86.46</td><td align="left" valign="top" rowspan="1" colspan="1">80.75&#x02013;90.57</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Classification</td><td align="left" valign="top" rowspan="1" colspan="1">Chromosomal and Syndromic</td><td align="left" valign="top" rowspan="1" colspan="1">900</td><td align="left" valign="top" rowspan="1" colspan="1">303</td><td align="left" valign="top" rowspan="1" colspan="1">66.33</td><td align="left" valign="top" rowspan="1" colspan="1">63.14&#x02013;69.32</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Isolated</td><td align="left" valign="top" rowspan="1" colspan="1">1523</td><td align="left" valign="top" rowspan="1" colspan="1">115</td><td align="left" valign="top" rowspan="1" colspan="1">92.45</td><td align="left" valign="top" rowspan="1" colspan="1">91.01&#x02013;93.67</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Multiple</td><td align="left" valign="top" rowspan="1" colspan="1">3058</td><td align="left" valign="top" rowspan="1" colspan="1">519</td><td align="left" valign="top" rowspan="1" colspan="1">83.03</td><td align="left" valign="top" rowspan="1" colspan="1">81.65&#x02013;84.31</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gestational age</td><td align="left" valign="top" rowspan="1" colspan="1">Preterm &#x0003c;37 weeks</td><td align="left" valign="top" rowspan="1" colspan="1">2428</td><td align="left" valign="top" rowspan="1" colspan="1">512</td><td align="left" valign="top" rowspan="1" colspan="1">78.91</td><td align="left" valign="top" rowspan="1" colspan="1">77.24&#x02013;80.48</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Term &#x02265;37 weeks</td><td align="left" valign="top" rowspan="1" colspan="1">3280</td><td align="left" valign="top" rowspan="1" colspan="1">468</td><td align="left" valign="top" rowspan="1" colspan="1">85.73</td><td align="left" valign="top" rowspan="1" colspan="1">84.49&#x02013;86.88</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth weight</td><td align="left" valign="top" rowspan="1" colspan="1">Low birth weight &#x0003c; 2500 grams</td><td align="left" valign="top" rowspan="1" colspan="1">2341</td><td align="left" valign="top" rowspan="1" colspan="1">555</td><td align="left" valign="top" rowspan="1" colspan="1">76.29</td><td align="left" valign="top" rowspan="1" colspan="1">74.52&#x02013;77.96</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Normal birth weight &#x02265; 2500 grams</td><td align="left" valign="top" rowspan="1" colspan="1">3367</td><td align="left" valign="top" rowspan="1" colspan="1">425</td><td align="left" valign="top" rowspan="1" colspan="1">87.38</td><td align="left" valign="top" rowspan="1" colspan="1">86.21&#x02013;88.45</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth year</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;2012</td><td align="left" valign="top" rowspan="1" colspan="1">3578</td><td align="left" valign="top" rowspan="1" colspan="1">642</td><td align="left" valign="top" rowspan="1" colspan="1">82.06</td><td align="left" valign="top" rowspan="1" colspan="1">80.76&#x02013;83.28</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;2012</td><td align="left" valign="top" rowspan="1" colspan="1">2130</td><td align="left" valign="top" rowspan="1" colspan="1">338</td><td align="left" valign="top" rowspan="1" colspan="1">84.13</td><td align="left" valign="top" rowspan="1" colspan="1">82.51&#x02013;85.62</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal education</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;12 years</td><td align="left" valign="top" rowspan="1" colspan="1">1579</td><td align="left" valign="top" rowspan="1" colspan="1">317</td><td align="left" valign="top" rowspan="1" colspan="1">79.92</td><td align="left" valign="top" rowspan="1" colspan="1">77.86&#x02013;81.82</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">12 years</td><td align="left" valign="top" rowspan="1" colspan="1">1698</td><td align="left" valign="top" rowspan="1" colspan="1">287</td><td align="left" valign="top" rowspan="1" colspan="1">83.10</td><td align="left" valign="top" rowspan="1" colspan="1">81.23&#x02013;84.80</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;12 years</td><td align="left" valign="top" rowspan="1" colspan="1">2260</td><td align="left" valign="top" rowspan="1" colspan="1">344</td><td align="left" valign="top" rowspan="1" colspan="1">84.78</td><td align="left" valign="top" rowspan="1" colspan="1">83.23&#x02013;86.20</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal age</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;35 years</td><td align="left" valign="top" rowspan="1" colspan="1">4889</td><td align="left" valign="top" rowspan="1" colspan="1">829</td><td align="left" valign="top" rowspan="1" colspan="1">83.04</td><td align="left" valign="top" rowspan="1" colspan="1">81.96&#x02013;84.07</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;35 years</td><td align="left" valign="top" rowspan="1" colspan="1">819</td><td align="left" valign="top" rowspan="1" colspan="1">151</td><td align="left" valign="top" rowspan="1" colspan="1">81.56</td><td align="left" valign="top" rowspan="1" colspan="1">78.73&#x02013;84.05</td></tr></tbody></table><table-wrap-foot><fn id="TFN3"><label>a</label><p id="P37">Only live-born infants with hydrocephaly without spina bifida were included in the analysis. The estimates are Kaplan&#x02013;Meier survival estimates. Not all maternal and infant characteristics categories add up to the total because of missing data.</p></fn><fn id="TFN4"><label>b</label><p id="P38">Additional Groups race and ethnicity category included non-Hispanic Asian, non-Hispanic Native Hawaiian and Pacific Islander, non-Hispanic American Indian and Alaskan Native, and non-Hispanic two or more races.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>TABLE 3</label><caption><p id="P39">Unadjusted hazard ratios (indicating relative risk for death) for infants with hydrocephaly without spina bifida and selected cofactors, Texas, 1999&#x02013;2017.</p></caption><table frame="below" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Variable</th><th align="left" valign="top" rowspan="1" colspan="1">Categories</th><th align="left" valign="top" rowspan="1" colspan="1">Hazard ratio</th><th align="left" valign="top" rowspan="1" colspan="1">95% CI</th><th align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic> value</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal race and ethnicity</td><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic White (Referent)</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic Black</td><td align="left" valign="top" rowspan="1" colspan="1">1.42</td><td align="left" valign="top" rowspan="1" colspan="1">1.16&#x02013;1.74</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">1.47</td><td align="left" valign="top" rowspan="1" colspan="1">1.27&#x02013;1.70</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Additional groups<sup><xref rid="TFN5" ref-type="table-fn">a</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">0.98</td><td align="left" valign="top" rowspan="1" colspan="1">0.66&#x02013;1.47</td><td align="left" valign="top" rowspan="1" colspan="1">.94</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Classification</td><td align="left" valign="top" rowspan="1" colspan="1">Chromosomal and syndromic</td><td align="left" valign="top" rowspan="1" colspan="1">5.17</td><td align="left" valign="top" rowspan="1" colspan="1">4.17&#x02013;6.41</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Isolated (referent)</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Multiple</td><td align="left" valign="top" rowspan="1" colspan="1">2.37</td><td align="left" valign="top" rowspan="1" colspan="1">1.93&#x02013;2.90</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Gestational age</td><td align="left" valign="top" rowspan="1" colspan="1">Preterm &#x0003c;37 weeks</td><td align="left" valign="top" rowspan="1" colspan="1">1.58</td><td align="left" valign="top" rowspan="1" colspan="1">1.39&#x02013;1.79</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Term &#x02265;37 weeks (referent)</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth weight</td><td align="left" valign="top" rowspan="1" colspan="1">Low birth weight &#x0003c; 2500 grams</td><td align="left" valign="top" rowspan="1" colspan="1">2.04</td><td align="left" valign="top" rowspan="1" colspan="1">1.80&#x02013;2.31</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Normal birth weight &#x02265; 2500 grams</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth year</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;2012</td><td align="left" valign="top" rowspan="1" colspan="1">1.15</td><td align="left" valign="top" rowspan="1" colspan="1">1.01&#x02013;1.31</td><td align="left" valign="top" rowspan="1" colspan="1">0.04</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;2012 (referent)</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal education</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;12 years</td><td align="left" valign="top" rowspan="1" colspan="1">1.34</td><td align="left" valign="top" rowspan="1" colspan="1">1.15&#x02013;1.57</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">12 years</td><td align="left" valign="top" rowspan="1" colspan="1">1.12</td><td align="left" valign="top" rowspan="1" colspan="1">0.96&#x02013;1.31</td><td align="left" valign="top" rowspan="1" colspan="1">0.17</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;12 years (referent)</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Maternal age</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;35 years (referent)</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">&#x02265;35 years</td><td align="left" valign="top" rowspan="1" colspan="1">1.09</td><td align="left" valign="top" rowspan="1" colspan="1">0.92&#x02013;1.30</td><td align="left" valign="top" rowspan="1" colspan="1">0.32</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><label>a</label><p id="P40">Additional groups race and ethnicity category included non-Hispanic Asian, non-Hispanic Native Hawaiian and Pacific Islander, non-Hispanic American Indian and Alaskan Native, and non-Hispanic two or more races.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4" orientation="landscape"><label>TABLE 4</label><caption><p id="P41">Adjusted hazard ratios (indicating relative risk for death) for infants with hydrocephaly without spina bifida and race and ethnicity, Texas, 1999&#x02013;2017.<sup><xref rid="TFN6" ref-type="table-fn">a</xref></sup></p></caption><table frame="below" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Variable</th><th align="left" valign="top" rowspan="1" colspan="1">Categories</th><th align="left" valign="top" rowspan="1" colspan="1">Hazard ratio</th><th align="left" valign="top" rowspan="1" colspan="1">95% confidence limit</th><th align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic> value</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Race and Ethnicity</td><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic White (Referent)</td><td align="left" valign="top" rowspan="1" colspan="1">1.00</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic Black</td><td align="left" valign="top" rowspan="1" colspan="1">1.28</td><td align="left" valign="top" rowspan="1" colspan="1">1.04&#x02013;1.58</td><td align="left" valign="top" rowspan="1" colspan="1">.02</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Hispanic</td><td align="left" valign="top" rowspan="1" colspan="1">1.31</td><td align="left" valign="top" rowspan="1" colspan="1">1.12&#x02013;1.54</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Additional groups<sup><xref rid="TFN7" ref-type="table-fn">b</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">0.95</td><td align="left" valign="top" rowspan="1" colspan="1">0.63&#x02013;1.42</td><td align="left" valign="top" rowspan="1" colspan="1">.78</td></tr></tbody></table><table-wrap-foot><fn id="TFN6"><label>a</label><p id="P42">Adjusted for classification, gestational age, birth weight, birth year, maternal education, and maternal age.</p></fn><fn id="TFN7"><label>b</label><p id="P43">Additional groups race and ethnicity category included non-Hispanic Asian, non-Hispanic Native Hawaiian and Pacific Islander, non-Hispanic American Indian and Alaskan Native, and non-Hispanic two or more races.</p></fn></table-wrap-foot></table-wrap></floats-group></article>