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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">101274068</journal-id><journal-id journal-id-type="pubmed-jr-id">34603</journal-id><journal-id journal-id-type="nlm-ta">Int J Stroke</journal-id><journal-id journal-id-type="iso-abbrev">Int J Stroke</journal-id><journal-title-group><journal-title>International journal of stroke : official journal of the International Stroke Society</journal-title></journal-title-group><issn pub-type="ppub">1747-4930</issn><issn pub-type="epub">1747-4949</issn></journal-meta><article-meta><article-id pub-id-type="pmid">27312679</article-id><article-id pub-id-type="pmc">5161728</article-id><article-id pub-id-type="doi">10.1177/1747493016654490</article-id><article-id pub-id-type="manuscript">HHSPA806993</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Trends in hospitalizations and cost associated with stroke by age, United States 2003&#x02013;2012</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Tong</surname><given-names>Xin</given-names></name></contrib><contrib contrib-type="author"><name><surname>George</surname><given-names>Mary G</given-names></name></contrib><contrib contrib-type="author"><name><surname>Gillespie</surname><given-names>Cathleen</given-names></name></contrib><contrib contrib-type="author"><name><surname>Merritt</surname><given-names>Robert</given-names></name></contrib><aff id="A1">Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff></contrib-group><author-notes><corresp id="CR1"><bold>Corresponding author:</bold> Xin Tong, Division for Heart Disease and Stroke Prevention Centers for Disease Prevention and Control, 4770 Buford Hwy, MS-F77, Atlanta, GA 30341, USA. <email>xtong@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>2</day><month>8</month><year>2016</year></pub-date><pub-date pub-type="epub"><day>09</day><month>7</month><year>2016</year></pub-date><pub-date pub-type="ppub"><month>10</month><year>2016</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>10</month><year>2017</year></pub-date><volume>11</volume><issue>8</issue><fpage>874</fpage><lpage>881</lpage><!--elocation-id from pubmed: 10.1177/1747493016654490--><permissions><license><license-p>Reprints and permissions: <ext-link ext-link-type="uri" xlink:href="http://sagepub.co.uk/journalsPermissions.nav">sagepub.co.uk/journalsPermissions.nav</ext-link></license-p></license></permissions><abstract><sec id="S1"><title>Background</title><p id="P1">The disease burden associated with stroke by age is not well known.</p></sec><sec id="S2"><title>Aim</title><p id="P2">To assess the trends in stroke hospitalizations and associated cost among adults aged &#x02265;18 years by age groups in the United States.</p></sec><sec id="S3"><title>Methods</title><p id="P3">The study population consisted of 2003&#x02013;2012 adult hospitalizations from the National Inpatient Sample of the Healthcare Cost and Utilization Project. Subarachnoid hemorrhage, intracerebral hemorrhage, and acute ischemic stroke hospitalizations were identified by the principal diagnosis ICD-9-CM code. We estimated national hospitalization rates and inflation-adjusted hospital costs across five consecutive 2-year time intervals, stratified by seven age groups.</p></sec><sec id="S4"><title>Results</title><p id="P4">Hospitalization rates for subarachnoid hemorrhage decreased significantly from 2003&#x02013;2004 to 2011&#x02013;2012 for ages 35&#x02013;44 (relative percent change (RPC): &#x02212;23%) and 45&#x02013;54 (RPC: &#x02212;22%), respectively. For intracerebral hemorrhage, the rates decreased significantly for ages &#x02265;65 years. Acute ischemic stroke hospitalization rates increased significantly for ages 18&#x02013;54 and decreased significantly for ages 65&#x02013;84 years. The average per-hospitalization cost for subarachnoid hemorrhage increased 7&#x02013;35% among all age groups, except those aged 65&#x02013;74, and increased 10&#x02013;29% for intracerabral hemorrhage except those aged 75&#x02013;84, and increased 6&#x02013;19% among all ages for acute ischemic stroke, respectively. Overall, the estimated total national cost increased 7% for subarachnoid hemorrhage, 10% for intracerebral hemorrhage, and 18% for acute ischemic stroke from 2003&#x02013;2004 to 2011&#x02013;2012.</p></sec><sec id="S5"><title>Conclusions</title><p id="P5">From 2003 to 2012, subarachnoid hemorrhage and intracerabral hemorrhage stroke hospitalization rates declined across all age groups. While US acute ischemic stroke hospitalizations among ages 65&#x02013;84 declined significantly, the hospitalization rates increased significantly among ages 18&#x02013;54. The estimated hospital costs increased across all stroke subtypes during the study period.</p></sec></abstract><kwd-group><kwd>Hospitalization rate</kwd><kwd>subarachnoid hemorrhage stroke</kwd><kwd>intracerebral hemorrhage stroke</kwd><kwd>acute ischemic stroke</kwd><kwd>trends</kwd></kwd-group></article-meta></front><body><sec sec-type="intro" id="S6"><title>Introduction</title><p id="P6">Stroke mortality in the United States has decreased from the 4th to 5th leading cause of death; however, stroke continues to be a leading cause of serious long-term disability.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R2" ref-type="bibr">2</xref></sup> Each year, nearly 800,000 people experience a new or recurrent stroke.<sup><xref rid="R2" ref-type="bibr">2</xref></sup> Of all strokes, an estimated 87% are ischemic, 3% are subarachnoid hemorrhage, and 10% are intracerebral hemorrhage.<sup><xref rid="R2" ref-type="bibr">2</xref></sup></p><p id="P7">In a previous report, George et al.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> identified an increase in the prevalence of acute ischemic stroke hospitalizations as the principal diagnosis among adolescent and young adults (age 15&#x02013;44 years) between 1995 and 2008. Although several studies have reported temporal trends in stroke hospitalizations, many of them focused only on those aged &#x02265;65 years, while others examined hospitalizations with either principal or secondary stroke diagnosis for specific age groups.<sup><xref rid="R4" ref-type="bibr">4</xref>&#x02013;<xref rid="R6" ref-type="bibr">6</xref></sup></p><p id="P8">Limited studies exist on trends in hospital cost associated with acute stroke events by age. In addition to examining the latest temporal trends in stroke hospitalizations, this study is intended to fill this gap and provide estimates on the costs associated with stroke across seven age groups.</p></sec><sec id="S7"><title>Aims</title><p id="P9">The aim of the present study was to determine the trends in hospitalizations caused by acute stroke by age groups, as well as cost trends associated with those hospitalizations from 2003 to 2012.</p></sec><sec sec-type="methods" id="S8"><title>Methods</title><sec id="S9"><title>Data sources and study sample</title><p id="P10">The National Inpatient Sample (NIS) is part of the Healthcare Cost and Utilization Project (HCUP), sponsored by the Agency for Healthcare Research and Quality (AHRQ).<sup><xref rid="R7" ref-type="bibr">7</xref></sup> The NIS is a database of hospital inpatient stays derived from billing data submitted by hospitals to statewide data organizations across the United States. The database captures information on more than 7 million discharges from an average of 1000 hospitals each year, which are weighted to represent over 36 million hospitalizations nationally. All discharges are captured from selected hospitals regardless of payer status.</p><p id="P11">International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) was used to identify hospitalizations for subarachnoid hemorrhage (430), intracerebral hemorrhage (431), and acute ischemic stroke (433.01, 433.11, 433.21, 433.31, 433.81, 433.91, 434.01, 434.11, 434.91, and 436). For each hospitalization, only the principal diagnosis code was used to identify events, which were then assigned to one of three mutually exclusive categories: subarachnoid hemorrhage (SAH), intracerebral hemorrhage (ICH), and acute ischemic stroke (AIS). In the NIS, the principal diagnosis codes are valid at the time of discharge and reflect the condition that is chiefly responsible for the patient&#x02019;s admission to the hospital.</p></sec><sec id="S10"><title>Statistical methods</title><p id="P12">The unit of analysis was the hospital discharge. In this analysis, hospital discharge records were included if the patient was 18 years or older at the time of the hospital admission. Patient characteristics included: age, gender, race, first-listed payment source, and discharge disposition. Hospital characteristics included geographic region. The hospital costs were determined by multiplying the total hospital charges by the provided mean cost-to-charge ratios for each hospital. Charges represented what the hospital billed for the case and did not include professional (physician) fees. We combined NIS annual data to create five consecutive 2-year time periods for obtaining the stable estimates between 2003 and 2012. The descriptive statistics and temporal trends were presented for seven age groups: 18&#x02013;34, 35&#x02013;44, 45&#x02013;54, 55&#x02013;64, 65&#x02013;74, 75&#x02013;84, and &#x02265;85 years.</p><p id="P13">As a result of the redesigning with 2012 data, we used trend weights developed by AHRQ to make estimates comparable for data prior to 2012.<sup><xref rid="R8" ref-type="bibr">8</xref></sup> The rate for the stroke admissions in the United States per 100,000 US population was defined as: (Number of weighted NIS discharges with a principal diagnosis of stroke/ US adult population count from the Census for the same data year)&#x02217;100,000.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> We used the personal consumption expenditure (PCE) index for hospital services to adjust costs incurred in earlier years to reflect 2012 US dollars.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> We summarized patient characteristics and calculated the relative percent changes (RPC) in hospitalization rates and average charge per hospitalization over time. We used orthogonal polynomial coefficients (POLYNOMIAL statement in SUDAAN) according to the method of Fisher and Yates (1938) to generate linear contrasts for testing the temporal trends in each age group across five time periods independently. All statistical analyses were conducted using SAS 9.3-callable SUDAAN (Research Triangle Institute, Research Triangle Park, NC) to account for the multistage, disproportionate stratified sampling design.</p><p id="P14">Because the data are publicly available and do not contain direct personal identifiers, this study was exempted from review by the institutional review board of the Centers for Diseases Control and Prevention.</p></sec></sec><sec sec-type="results" id="S11"><title>Results</title><sec id="S12"><title>Subarachnoid hemorrhagic stroke</title><p id="P15">During the study period, the rates of hospitalizations per 100,000 persons with a principal diagnosis of SAH decreased significantly among persons aged 35 to 44 years (RPC of &#x02212;23%, <xref ref-type="table" rid="T1">Table 1</xref>) and 45 to 54 years (RPC of &#x02212;22%). There were no significant changes among other age groups.</p><p id="P16">After we adjusted for inflation, the average per-hospitalization cost for SAH increased during the study period across all age groups except persons aged 65&#x02013;74 years (<xref ref-type="table" rid="T1">Table 1</xref>). The greatest increases were observed among ages &#x02265;85 years (RPC: 35%), ages 18&#x02013;34 years (RPC: 27%), and ages 45&#x02013;54 years (RPC: 21%). When we combined the per-hospitalization cost and number of hospitalizations across all age groups, we estimated that the total national costs for hospitalizations with SAH as the principal diagnosis increased from $2.18 billion during 2003&#x02013;2004 to $2.34 billion during 2011&#x02013;2012 (RPC: 7%).</p><p id="P17">The proportion of men did not change across the age groups except among those aged 65&#x02013;84 years (<xref ref-type="supplementary-material" rid="SD1">Table 1 in the online-only data supplement</xref>). There were significant increases in SAH hospitalizations among &#x0201c;other&#x0201d; race groups across all age groups except ages 18&#x02013;34 years and ages &#x02265;85 years. Among the youngest group, hospitalizations among African Americans increased from 20.7% in 2003&#x02013;2004 to 26.5% in 2011&#x02013;2012. The regional distribution did not change significantly, where persons were consistently more likely to be from South. The use of Medicaid increased significantly among persons aged 18&#x02013;64 years while no changes on payer types among persons aged &#x02265;65 years. The in-hospital death rate declined significantly among persons aged &#x02265;45 years. The proportions of SAH hospitalizations transferred to short-term hospitals decreased significantly from 2003 to 2004 to 2011&#x02013;2012 among ages 18&#x02013;34 years, 45&#x02013;54 years, 55&#x02013;64 years, and 75&#x02013;84 years respectively while the proportions of those transferred to rehabilitation, nursing or skilled nursing facilities, long-term care facility, or hospice facility increased significantly among the two oldest age group. The average length of stay (in days) was significantly shorter in 2011&#x02013;2012 as compared to 2003&#x02013;2004 among those aged &#x02265;55 years.</p></sec><sec id="S13"><title>Intracerebral hemorrhage stroke</title><p id="P18">During 2003&#x02013;2012, the rates of hospitalization per 100,000 persons with a principal diagnosis of ICH decreased significantly in the three oldest age groups (RPC of approximately &#x02212;20%, <xref ref-type="table" rid="T1">Table 1</xref>). The hospitalization rates remained stable among other age groups over time.</p><p id="P19">The inflation-adjusted average per-hospitalization cost for ICH increased across all age groups except those aged 75&#x02013;84 years during the study period. The largest increase was observed among ages &#x02265;85 years (RPC of 29%, <xref ref-type="table" rid="T1">Table 1</xref>), and ages 35&#x02013;44 years (RPC of 28%). In 2011&#x02013;2012, the estimated national cost in ICH hospitalizations totaled $2.52 billion, resulting in a 10% relative percent increase from 2003&#x02013;2004.</p><p id="P20">The proportion of men increased among ages 65 to 74 years from 54.5% in 2003&#x02013;2004 to 56.3% in 2011&#x02013;2012 (<xref ref-type="supplementary-material" rid="SD1">Table 1 in the online-only data supplement</xref>). Hospitalization rates among those of &#x0201c;other&#x0201d; race increased significantly among persons aged 35&#x02013;44 years and 45&#x02013;54 years. Among those aged 35&#x02013;64 years there was a significant increase in the use of Medicaid as the primary payer. The in-hospital death rate declined significantly across all age groups and the mean length of stay decreased over time among those aged &#x02265;65 years. The proportions of ICH hospitalizations transferred to rehabilitation, nursing or skilled nursing facilities, long-term care facility, or hospice facility increased significantly from 2003&#x02013;2004 to 2011&#x02013;2012 across all age groups except ages 18&#x02013;34 years.</p></sec><sec id="S14"><title>Acute ischemic stroke</title><p id="P21">The hospitalization rates per 100,000 persons with a principal diagnosis of AIS increased significantly among persons aged 18&#x02013;54 years, but decreased significantly among persons aged 65&#x02013;84 years. The largest increase was observed among ages 35&#x02013;44 years (RPC: 21%, <xref ref-type="table" rid="T1">Table 1</xref>) and the relative percent increases were 15% for both ages 18&#x02013;34 and 45&#x02013;54. There was no significant change in the hospitalization rate among ages 55&#x02013;64 and ages &#x02265;85 years, while the hospitalization rates declined significantly among ages 65&#x02013;74 years (RPC of &#x02212;15%) and ages 75&#x02013;84 years (RPC of &#x02212;14%), respectively.</p><p id="P22">After adjusting for inflation, the average per-hospitalization cost for AIS increased from 6% to 19% across all age groups (<xref ref-type="fig" rid="F1">Figure 1</xref>). The largest increase was observed among ages 35&#x02013;44 years, with $12,089 per-hospitalization in 2003&#x02013;2004 and $14,379 per hospitalization in 2011&#x02013;2012 (RPC: 19%, <xref ref-type="table" rid="T1">Table 1</xref>). The estimated total cost reached $12.55 billion in 2011&#x02013;2012 compared to $10.67 billion in 2003&#x02013;2004 (RPC: 18%).</p><p id="P23">The proportion of men increased significantly from 2003&#x02013;2004 to 2011&#x02013;2012 among those aged &#x02265;45 years (<xref ref-type="supplementary-material" rid="SD1">Table 1 in the online-only data supplement</xref>). Distributions by race and geographic region showed little change over time. Strong trends were seen among proportions of payer types across all age groups. The in-hospital death rate declined significantly across the study period among all age groups except the youngest (18&#x02013;34 years). The proportions of patients transferred to either short-term hospital or transferred to rehabilitation, nursing or skilled nursing facilities, long-term care facility, or hospice facility increased significantly from 2003&#x02013;2004 to 2011&#x02013;2012 among ages 45&#x02013;74 years. The length of stay among AIS hospitalizations decreased significantly among all age groups, except those aged 55&#x02013;64 years.</p></sec></sec><sec sec-type="discussion" id="S15"><title>Discussion</title><p id="P24">Our data provided the latest trends in stroke hospitalizations by age groups from 2003&#x02013;2004 to 2011&#x02013;2012. During the study period, we observed an increase in AIS hospitalizations among younger adults (aged 18&#x02013;34 years (RPC: 15%), 35&#x02013;44 years (RPC: 21%), and 45&#x02013;54 years (RPC: 15%)), which was concerning given decreases in older adults. Significant decreases were observed among persons hospitalized with SAH aged 35&#x02013;54 years. Hospitalization rates for ICH declined significantly only among persons aged &#x02265; 65 years. The decreases in ICH and AIS hospitalizations among those aged &#x02265;65 years might be attributable, at least in part, to the increased blood pressure control reported in this population,<sup><xref rid="R11" ref-type="bibr">11</xref></sup> but the increases among younger adults was worrisome. On the other hand, the best control of hypertension could have more impact on the incidence of ICH, but not for SAH.</p><p id="P25">The findings of increasing trends in AIS hospitalization in young adults (18&#x02013;54 years) were consistent with several studies.<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref></sup> George et al.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> reported significant increases in the prevalence of AIS hospitalizations from 1995&#x02013;1996 to 2007&#x02013;2008 among persons aged 15&#x02013;34 years and 35&#x02013;44 years, respectively. Towfighi et al.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> identified significant increases in ischemic stroke hospitalizations combining both principal and secondary diagnoses among those aged 35&#x02013;44 years. In addition, the observations of an increase in the incidence of ischemic stroke in young adults were also reported in several population-based registries.<sup><xref rid="R12" ref-type="bibr">12</xref>,<xref rid="R13" ref-type="bibr">13</xref></sup> Our findings indicated continued increases in AIS hospitalizations among these age groups. However, for persons aged 35&#x02013;44 years hospitalized with ICH, the declining trend from 1995&#x02013;2008 appeared to have stabilized, based on our results for 2003&#x02013;2012.</p><p id="P26">Ovbiagele et al examined stroke hospitalizations in the NIS for combined ischemic and hemorrhagic stroke types among persons aged 35&#x02013;64 years between 1997 and 2006.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> They found stroke hospitalization rates declined among individuals aged 55&#x02013;64 years and remained stable among persons aged 45&#x02013;64 years. Our results identified no significant decline among persons aged 55&#x02013;64 years with SAH, ICH, or AIS as the principal diagnosis independently. Consistent with other studies,<sup><xref rid="R5" ref-type="bibr">5</xref>,<xref rid="R6" ref-type="bibr">6</xref></sup> a significant decline in stroke hospitalizations was observed among persons aged &#x02265;65 years with AIS and ICH. However, hospitalizations for SAH remained stable during 2003&#x02013;2012 among persons aged &#x02265;65years.</p><p id="P27">While AIS hospitalizations increased in young adults (18&#x02013;54 years), the in-hospital deaths remained stable (18&#x02013;34 years) or decreased (35&#x02013;44 years and 45&#x02013;54 years respectively). A recent study using NCHS mortality data reported similar findings.<sup><xref rid="R14" ref-type="bibr">14</xref></sup></p><p id="P28">The observed increase in total hospitalization costs suggested an increasing economic burden across all stroke types for acute stroke care, but the long-term impact on the economic burden of improved treatment are needed for further study. Our study identified decreasing lengths of stay in most age groups, implying that this was not a factor contributing to the rising perhospitalization cost. Despite a reduction in hospitalizations rates in several age groups, the absolute number of hospitalizations increased among ages 45&#x02013;64 years, and ages &#x02265;85 years for ICH. The same findings were observed among ages 55&#x02013;74 years, and ages &#x02265;85 years for AIS. This might explain in part the observed increase in overall stroke costs. In 2011&#x02013;2012, the estimated total national cost for SAH, ICH, and AIS hospitalizations were $2.34 billion (RPC: 7%), $2.52 billion (RPC: 10%), and $12.55 billion (RPC: 18%), respectively. A recent publication reported the average annual inflation-adjusted Medicare payments for index hospitalizations of ischemic stroke were $8000 in 2005&#x02013;2006 and $8489 in 2010&#x02013;2011 (RPC: 6%).<sup><xref rid="R6" ref-type="bibr">6</xref></sup> Our estimates of costs were higher, probably due to the fact that we were unable to make any adjust ments to the cost-to-charge ratios for the non-Medicare population. Medicare uses a system of standardized payments to reimburse hospitals and we were unable to account for potential differences that might exist between payers in the cost-to-charge ratios.</p><p id="P29">Other studies also reported the increasing cost of stroke care.<sup><xref rid="R15" ref-type="bibr">15</xref>,<xref rid="R16" ref-type="bibr">16</xref></sup> Increasing cost likely has several explanations. First, it might be related to the increased use of diagnostic procedures for identification of underlying stroke etiology or co-morbid conditions associated with acute stroke and associated follow-up studies of underlying stroke etiology. Major predictors of hospital cost are length of stay, stroke severity, cardiac disease, and room charges.<sup><xref rid="R17" ref-type="bibr">17</xref></sup> Increased uses of neuro-intensive care units or specialized stroke units, increased use of thrombolytic therapy, and extended cardiac monitoring for identification of atrial fibrillation and carotid imaging are also the potential factors contributing to cost. In our study, we identified the proportions of hospitalizations with AIS transferred to either short-term hospitals or rehabilitation, nursing or skilled nursing facilities, long-term care facility, or hospice facility increased significantly over time. This might be related to the severity or increasing using of advanced stroke care systems. However, in our studies, there was a lack of the clinical information in the dataset to assess these factors. Finally the cost presented in this study did not include the professional (physician) fees, or the cost of rehabilitation or long-term care for the survivors and, therefore, the total medical costs will be higher than those reported in this study.</p><p id="P30">The strength of this study is that it represents national hospitalizations throughout the United States; however, our findings have limitations. First, any change in coding practices might impact temporal trends in hospitalization rates. The increased use of magnetic resonance imaging and other arterial flow studies for ischemic stroke may lead to an increase in the diagnosis and further treatment planning for these cases. Second, the number of states contributing data to the NIS has increased over years, which could introduce bias in the sample over time. In addition, the estimates of costs might have some variation as compared to the actual cost. Since the cost-to-charge ratios applied in this analysis were unique for each hospital, the lack of information on the differences in payers might affect the estimates. Finally, the unit of the analysis was hospital discharge, not the patient, thus we would not be able to identify repeat hospitalizations in any calendar year.</p></sec><sec sec-type="conclusions" id="S16"><title>Conclusions</title><p id="P31">Our findings demonstrate a significant increase in AIS hospitalizations among persons aged 18&#x02013;54 years, contributing to an overall 18% relative increase in all stroke hospitalizations in this population. The rates of hospitalization declined significantly for SAH among persons aged 35&#x02013;54, and for both ICH and AIS among persons aged &#x02265;65. Regardless of trends in stroke hospitalizations, the increasing national hospital cost indicates the rising economic burden of stroke in the health care system, although this might represent improved testing and monitoring to optimize treatment to prevent recurrent strokes. Most importantly, the increased economic burden of stroke is due to both an increase in the per-hospital costs as well as an overall increase in the number of stroke hospitalizations among younger adults. This information has compelling importance for prevention efforts across all age groups, and particularly among adults under age 65.</p></sec><sec sec-type="supplementary-material" id="SM"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>Table 1</label><media xlink:href="NIHMS806993-supplement-Table_1.docx" orientation="portrait" xlink:type="simple" id="d36e355" position="anchor"/></supplementary-material></sec></body><back><ack id="S17"><title>Acknowledgments</title><p>Paper is a part of an oral presentation at the 2016 International Stroke Conference, Los Angeles, CA, USA, 17&#x02013;19 February.</p><p>The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of the US Centers for Disease Control and Prevention (CDC).</p><p>Funding</p><p>The author(s) received no financial support for the research, authorship, and/or publication of this article.</p></ack><fn-group><fn id="FN1"><p id="P32">Authors&#x02019; contributions</p><p id="P33">Study conception and design: XT, MGG, CG, and RM</p><p id="P34">Analysis and interpretation of data: XT, MGG, and CG</p><p id="P35">Drafting of manuscript: XT and MGG</p><p id="P36">Critical revision: XT, MGG, CG, and RM</p></fn><fn id="FN2"><p id="P37">Declaration of conflicting interests</p><p id="P38">The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Murphy</surname><given-names>SL</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name><name><surname>Kochanek</surname><given-names>KD</given-names></name></person-group><article-title>Deaths: Final data for 2010</article-title><source>National 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1</label><caption><p>Trends in average per-hospitalization cost among AIS by age.</p></caption><graphic xlink:href="nihms-806993-f0001"/></fig><table-wrap id="T1" position="float" orientation="landscape"><label>Table 1</label><caption><p>Trends in hospitalization and resource utilization in adults, by the principal diagnosis of SAH, ICH, and AIS by age, NIS 2003&#x02013;2012</p></caption><table frame="hsides" rules="rows"><thead><tr><th rowspan="2" align="left" valign="bottom" colspan="1">Principal diagnosis</th><th align="left" valign="middle" rowspan="1" colspan="1">SAH</th><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">ICH</th><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">AIS</th><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1">2003&#x02013;2004</th><th align="left" valign="middle" rowspan="1" colspan="1">2011&#x02013;2012<xref ref-type="table-fn" rid="TFN1">*</xref></th><th align="left" valign="middle" rowspan="1" colspan="1">RPC<sup><xref ref-type="table-fn" rid="TFN2">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">2003&#x02013;2004</th><th align="left" valign="middle" rowspan="1" colspan="1">2011&#x02013;2012<xref ref-type="table-fn" rid="TFN1">*</xref></th><th align="left" valign="middle" rowspan="1" colspan="1">RPC<sup><xref ref-type="table-fn" rid="TFN2">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">2003&#x02013;2004</th><th align="left" valign="middle" rowspan="1" colspan="1">2011&#x02013;2012<xref ref-type="table-fn" rid="TFN1">*</xref></th><th align="left" valign="middle" rowspan="1" colspan="1">RPC<sup><xref ref-type="table-fn" rid="TFN2">a</xref></sup></th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age 18&#x02013;34</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Number of hospitalizations</td><td align="left" valign="middle" rowspan="1" colspan="1">3567</td><td align="left" valign="middle" rowspan="1" colspan="1">3411</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">2772</td><td align="left" valign="middle" rowspan="1" colspan="1">2888</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">8275</td><td align="left" valign="middle" rowspan="1" colspan="1">10,178</td><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rates per 100,000 persons</td><td align="left" valign="middle" rowspan="1" colspan="1">2.61</td><td align="left" valign="middle" rowspan="1" colspan="1">2.33</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;11%</td><td align="left" valign="middle" rowspan="1" colspan="1">2.03</td><td align="left" valign="middle" rowspan="1" colspan="1">1.97</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;3%</td><td align="left" valign="middle" rowspan="1" colspan="1">6.05</td><td align="left" valign="middle" rowspan="1" colspan="1">6.95<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">15%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Average per-hospitalization cost<sup><xref ref-type="table-fn" rid="TFN3">b</xref></sup></td><td align="left" valign="middle" rowspan="1" colspan="1">$40,509</td><td align="left" valign="middle" rowspan="1" colspan="1">$51,509</td><td align="right" valign="middle" rowspan="1" colspan="1">27%</td><td align="left" valign="middle" rowspan="1" colspan="1">$28,717</td><td align="left" valign="middle" rowspan="1" colspan="1">$32,016</td><td align="right" valign="middle" rowspan="1" colspan="1">11%</td><td align="left" valign="middle" rowspan="1" colspan="1">$14,221</td><td align="left" valign="middle" rowspan="1" colspan="1">$15,967</td><td align="right" valign="middle" rowspan="1" colspan="1">10%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age 35&#x02013;44</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Number of hospitalizations</td><td align="left" valign="middle" rowspan="1" colspan="1">7427</td><td align="left" valign="middle" rowspan="1" colspan="1">5282</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">6056</td><td align="left" valign="middle" rowspan="1" colspan="1">5169</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">25,350</td><td align="left" valign="middle" rowspan="1" colspan="1">28,287</td><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rates per 100,000 persons</td><td align="left" valign="middle" rowspan="1" colspan="1">8.44</td><td align="left" valign="middle" rowspan="1" colspan="1">6.51<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;23%</td><td align="left" valign="middle" rowspan="1" colspan="1">6.89</td><td align="left" valign="middle" rowspan="1" colspan="1">6.37</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;7%</td><td align="left" valign="middle" rowspan="1" colspan="1">28.82</td><td align="left" valign="middle" rowspan="1" colspan="1">34.87<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">21%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Average per-hospitalization cost<sup><xref ref-type="table-fn" rid="TFN3">b</xref></sup></td><td align="left" valign="middle" rowspan="1" colspan="1">$45,841</td><td align="left" valign="middle" rowspan="1" colspan="1">$55,099</td><td align="right" valign="middle" rowspan="1" colspan="1">20%</td><td align="left" valign="middle" rowspan="1" colspan="1">$27,383</td><td align="left" valign="middle" rowspan="1" colspan="1">$34,928</td><td align="right" valign="middle" rowspan="1" colspan="1">28%</td><td align="left" valign="middle" rowspan="1" colspan="1">$12,089</td><td align="left" valign="middle" rowspan="1" colspan="1">$14,379</td><td align="right" valign="middle" rowspan="1" colspan="1">19%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age 45&#x02013;54</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Number of hospitalizations</td><td align="left" valign="middle" rowspan="1" colspan="1">13,474</td><td align="left" valign="middle" rowspan="1" colspan="1">11,408</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">15,858</td><td align="left" valign="middle" rowspan="1" colspan="1">16,467</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">82,271</td><td align="left" valign="middle" rowspan="1" colspan="1">102,083</td><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rates per 100,000 persons</td><td align="left" valign="middle" rowspan="1" colspan="1">16.34</td><td align="left" valign="middle" rowspan="1" colspan="1">12.82<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;22%</td><td align="left" valign="middle" rowspan="1" colspan="1">19.23</td><td align="left" valign="middle" rowspan="1" colspan="1">18.51</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;4%</td><td align="left" valign="middle" rowspan="1" colspan="1">99.78</td><td align="left" valign="middle" rowspan="1" colspan="1">114.76<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">15%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Average per-hospitalization cost<sup><xref ref-type="table-fn" rid="TFN3">b</xref></sup></td><td align="left" valign="middle" rowspan="1" colspan="1">$46,174</td><td align="left" valign="middle" rowspan="1" colspan="1">$55,984</td><td align="right" valign="middle" rowspan="1" colspan="1">21%</td><td align="left" valign="middle" rowspan="1" colspan="1">$25,241</td><td align="left" valign="middle" rowspan="1" colspan="1">$30,086</td><td align="right" valign="middle" rowspan="1" colspan="1">19%</td><td align="left" valign="middle" rowspan="1" colspan="1">$11,201</td><td align="left" valign="middle" rowspan="1" colspan="1">$12,976</td><td align="right" valign="middle" rowspan="1" colspan="1">16%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age 55&#x02013;64</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Number of hospitalizations</td><td align="left" valign="middle" rowspan="1" colspan="1">10,728</td><td align="left" valign="middle" rowspan="1" colspan="1">11,848</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">19,508</td><td align="left" valign="middle" rowspan="1" colspan="1">22,568</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">167,053</td><td align="left" valign="middle" rowspan="1" colspan="1">202,227</td><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rates per 100,000 persons</td><td align="left" valign="middle" rowspan="1" colspan="1">18.72</td><td align="left" valign="middle" rowspan="1" colspan="1">15.46</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;17%</td><td align="left" valign="middle" rowspan="1" colspan="1">34.04</td><td align="left" valign="middle" rowspan="1" colspan="1">29.45</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;13%</td><td align="left" valign="middle" rowspan="1" colspan="1">291.47</td><td align="left" valign="middle" rowspan="1" colspan="1">263.90</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;9%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Average per-hospitalization cost<sup><xref ref-type="table-fn" rid="TFN3">b</xref></sup></td><td align="left" valign="middle" rowspan="1" colspan="1">$49,356</td><td align="left" valign="middle" rowspan="1" colspan="1">$53,025</td><td align="right" valign="middle" rowspan="1" colspan="1">7%</td><td align="left" valign="middle" rowspan="1" colspan="1">$23,852</td><td align="left" valign="middle" rowspan="1" colspan="1">$26,774</td><td align="right" valign="middle" rowspan="1" colspan="1">12%</td><td align="left" valign="middle" rowspan="1" colspan="1">$10,624</td><td align="left" valign="middle" rowspan="1" colspan="1">$12,374</td><td align="right" valign="middle" rowspan="1" colspan="1">16%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age 65&#x02013;74</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Number of hospitalizations</td><td align="left" valign="middle" rowspan="1" colspan="1">6916</td><td align="left" valign="middle" rowspan="1" colspan="1">7386</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">23,094</td><td align="left" valign="middle" rowspan="1" colspan="1">22,487</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">235,742</td><td align="left" valign="middle" rowspan="1" colspan="1">249,585</td><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rates per 100,000 persons</td><td align="left" valign="middle" rowspan="1" colspan="1">18.61</td><td align="left" valign="middle" rowspan="1" colspan="1">15.90</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;15%</td><td align="left" valign="middle" rowspan="1" colspan="1">62.13</td><td align="left" valign="middle" rowspan="1" colspan="1">48.40<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;22%</td><td align="left" valign="middle" rowspan="1" colspan="1">634.25</td><td align="left" valign="middle" rowspan="1" colspan="1">537.17<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;15%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Average per-hospitalization cost<sup><xref ref-type="table-fn" rid="TFN3">b</xref></sup></td><td align="left" valign="middle" rowspan="1" colspan="1">$46,528</td><td align="left" valign="middle" rowspan="1" colspan="1">$46,734</td><td align="right" valign="middle" rowspan="1" colspan="1">0</td><td align="left" valign="middle" rowspan="1" colspan="1">$18,656</td><td align="left" valign="middle" rowspan="1" colspan="1">$20,477</td><td align="right" valign="middle" rowspan="1" colspan="1">10%</td><td align="left" valign="middle" rowspan="1" colspan="1">$10,364</td><td align="left" valign="middle" rowspan="1" colspan="1">$11,337</td><td align="right" valign="middle" rowspan="1" colspan="1">9%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age 75&#x02013;84</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Number of hospitalizations</td><td align="left" valign="middle" rowspan="1" colspan="1">6136</td><td align="left" valign="middle" rowspan="1" colspan="1">6039</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">38,301</td><td align="left" valign="middle" rowspan="1" colspan="1">30,809</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">337,468</td><td align="left" valign="middle" rowspan="1" colspan="1">298,210</td><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rates per 100,000 persons</td><td align="left" valign="middle" rowspan="1" colspan="1">23.70</td><td align="left" valign="middle" rowspan="1" colspan="1">22.82</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;4%</td><td align="left" valign="middle" rowspan="1" colspan="1">147.96</td><td align="left" valign="middle" rowspan="1" colspan="1">116.44<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;21%</td><td align="left" valign="middle" rowspan="1" colspan="1">1303.65</td><td align="left" valign="middle" rowspan="1" colspan="1">1127.09<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;14%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Average per-hospitalization cost<sup><xref ref-type="table-fn" rid="TFN3">b</xref></sup></td><td align="left" valign="middle" rowspan="1" colspan="1">$28,928</td><td align="left" valign="middle" rowspan="1" colspan="1">$31,271</td><td align="right" valign="middle" rowspan="1" colspan="1">8%</td><td align="left" valign="middle" rowspan="1" colspan="1">$14.486</td><td align="left" valign="middle" rowspan="1" colspan="1">$14,071</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;3%</td><td align="left" valign="middle" rowspan="1" colspan="1">$10,318</td><td align="left" valign="middle" rowspan="1" colspan="1">$10,942</td><td align="right" valign="middle" rowspan="1" colspan="1">6%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age 85+</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Number of hospitalizations</td><td align="left" valign="middle" rowspan="1" colspan="1">2697</td><td align="left" valign="middle" rowspan="1" colspan="1">3163</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">20,294</td><td align="left" valign="middle" rowspan="1" colspan="1">20,913</td><td align="right" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">172,992</td><td align="left" valign="middle" rowspan="1" colspan="1">198,904</td><td align="right" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Rates per 100,000 persons</td><td align="left" valign="middle" rowspan="1" colspan="1">29.93</td><td align="left" valign="middle" rowspan="1" colspan="1">27.09</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;9%</td><td align="left" valign="middle" rowspan="1" colspan="1">225.19</td><td align="left" valign="middle" rowspan="1" colspan="1">179.12<xref ref-type="table-fn" rid="TFN1">*</xref></td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;20%</td><td align="left" valign="middle" rowspan="1" colspan="1">1919.56</td><td align="left" valign="middle" rowspan="1" colspan="1">1703.66</td><td align="right" valign="middle" rowspan="1" colspan="1">&#x02212;11%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Average per-hospitalization cost<sup><xref ref-type="table-fn" rid="TFN3">b</xref></sup></td><td align="left" valign="middle" rowspan="1" colspan="1">$16,187</td><td align="left" valign="middle" rowspan="1" colspan="1">$21,845</td><td align="right" valign="middle" rowspan="1" colspan="1">35%</td><td align="left" valign="middle" rowspan="1" colspan="1">$9582</td><td align="left" valign="middle" rowspan="1" colspan="1">$12,330</td><td align="right" valign="middle" rowspan="1" colspan="1">29%</td><td align="left" valign="middle" rowspan="1" colspan="1">$9373</td><td align="left" valign="middle" rowspan="1" colspan="1">$10,368</td><td align="right" valign="middle" rowspan="1" colspan="1">11%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Total cost in billions<sup><xref ref-type="table-fn" rid="TFN4">c</xref></sup></td><td align="left" valign="middle" rowspan="1" colspan="1">2.18</td><td align="left" valign="middle" rowspan="1" colspan="1">2.34</td><td align="right" valign="middle" rowspan="1" colspan="1">7%</td><td align="left" valign="middle" rowspan="1" colspan="1">2.29</td><td align="left" valign="middle" rowspan="1" colspan="1">2.52</td><td align="right" valign="middle" rowspan="1" colspan="1">10%</td><td align="left" valign="middle" rowspan="1" colspan="1">10.67</td><td align="left" valign="middle" rowspan="1" colspan="1">12.55</td><td align="right" valign="middle" rowspan="1" colspan="1">18%</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P39"><italic>p</italic>-value for trend&#x0003c;0.05.</p></fn><fn id="TFN2"><label>a</label><p id="P40">Relative percent change (RPC) for a given variable X is calculated with the following: (<italic>X</italic><sub>2011-2012</sub> &#x02013; <italic>X</italic><sub>2003-2004</sub>)/ X<sub>2003-2004</sub>.</p></fn><fn id="TFN3"><label>b</label><p id="P41">The costs was obtained by using HCUP cost-to-charge ratios multiplying total charges after accounting for inflation using the hospital services component of the Personal Consumption Expenditure index.</p></fn><fn id="TFN4"><label>c</label><p id="P42">Total costs was obtained by number of hospitalizations multiplying average per-hospitalization cost.</p></fn></table-wrap-foot></table-wrap></floats-group></article>