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<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">0417360</journal-id><journal-id journal-id-type="pubmed-jr-id">7833</journal-id><journal-id journal-id-type="nlm-ta">Transfusion</journal-id><journal-id journal-id-type="iso-abbrev">Transfusion</journal-id><journal-title-group><journal-title>Transfusion</journal-title></journal-title-group><issn pub-type="ppub">0041-1132</issn><issn pub-type="epub">1537-2995</issn></journal-meta><article-meta><article-id pub-id-type="pmid">34165191</article-id><article-id pub-id-type="pmc">8943822</article-id><article-id pub-id-type="doi">10.1111/trf.16449</article-id><article-id pub-id-type="manuscript">HHSPA1788920</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Has the trend of declining blood transfusions in the United States ended? Findings of the 2019 National Blood Collection and Utilization Survey</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Jones</surname><given-names>Jefferson M.</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-4974-9058</contrib-id><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Sapiano</surname><given-names>Mathew R. P.</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-6938-6683</contrib-id><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Mowla</surname><given-names>Sanjida</given-names></name><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-9305-9228</contrib-id><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Bota</surname><given-names>Dorothy</given-names></name><xref rid="A1" ref-type="aff">1</xref><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Berger</surname><given-names>James J.</given-names></name><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Basavaraju</surname><given-names>Sridhar V.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA</aff><aff id="A2"><label>2</label>Oak Ridge Institute for Science and Education, Atlanta, Georgia, USA</aff><aff id="A3"><label>3</label>Northrup Grumman Corporation, Atlanta, Georgia, USA</aff><aff id="A4"><label>4</label>Office of HIV/AIDS and infectious Disease Policy, Office of the Assistant Secretary for Health, U.S. Department of Health and Human Services, Washington, D.C., USA</aff><author-notes><corresp id="CR1"><bold>Correspondence:</bold> Jefferson M. Jones, Division of Healthcare Quality Promotion (DHQP), National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Centers for Disease Control and Prevention, 1600 Clifton Road NE, MS V18-4, Atlanta, GA 30333, USA. <email>ioe8@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>15</day><month>3</month><year>2022</year></pub-date><pub-date pub-type="ppub"><month>9</month><year>2021</year></pub-date><pub-date pub-type="epub"><day>24</day><month>6</month><year>2021</year></pub-date><pub-date pub-type="pmc-release"><day>24</day><month>3</month><year>2022</year></pub-date><volume>61</volume><issue>Suppl 2</issue><fpage>S1</fpage><lpage>S10</lpage><permissions><license><license-p>This article is a U.S. Government work and is in the public domain in the USA.</license-p></license></permissions><abstract id="ABS1"><sec id="S1"><title>Introduction:</title><p id="P1">Previous iterations of National Blood Collection and Utilization Survey (NBCUS) have demonstrated declines in blood collection and transfusion in the United States since 2008, including declines of 3.0% and 6.1% in red blood cell (RBC) collections and transfusions between 2015 and 2017, respectively. This study describes results of the 2019 NBCUS.</p></sec><sec id="S2"><title>Methods:</title><p id="P2">The survey was distributed to all US blood collection centers, all hospitals performing &#x02265;1000 surgeries annually, and a 40% random sample of hospitals performing 100&#x02013;999 surgeries annually. Weighting and imputation were used to generate national estimates for units of blood and components collected, distributed, transfused, and outdated.</p></sec><sec id="S3"><title>Results:</title><p id="P3">In 2019, 11,590,000 RBC units were collected (95% confidence interval [CI], 11,151,000&#x02013;12,029,000 units), a 5.1% decrease compared with 2017, while 10,852,000 RBC units were transfused (95% CI, 10,444&#x02013;11,259 units), a 2.5% increase from 2017. Between 2017 and 2019, platelet distributions (2,508,000 units; 95% CI, 2,375,000&#x02013;2,641,000 units) decreased by 2.0%, and plasma distributions (2,679,000 units; 95% CI, 2,525,000&#x02013;2,833,000 units) decreased by 16.5%. During the same time period, platelet transfusions (2,243,000 units; 95% CI, 1,846,000&#x02013;2,147,000 units) increased by 15.8% and plasma transfusions (2,185,000 units; 95% CI, 2,068,000&#x02013;2,301,000 units) decreased by 8.0%.</p></sec><sec id="S4"><title>Conclusion:</title><p id="P4">Utilization of RBC in the United States might have reached a nadir. Between 2017 and 2019, RBC collections declined while RBC transfusions did not significantly change, suggesting a narrowing between blood supply and demand. Monitoring national blood collection and utilization data is integral to understanding trends in blood supply safety and availability.</p></sec></abstract><kwd-group><kwd>blood components</kwd><kwd>blood donation</kwd><kwd>blood transfusion</kwd></kwd-group></article-meta></front><body><sec id="S5"><label>1 |</label><title>INTRODUCTION</title><p id="P5">Blood transfusion is a common hospital procedure, with 5.7% of hospitalized patients receiving a red blood cell (RBC) transfusion during 2014 in the United States.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> To monitor the numbers of blood collections and transfusions in the United States, national surveys have been conducted since 1971 with support from the federal government. Since 1997, the National Blood Collection and Utilization Survey (NBCUS) has been the primary source of data related to annual blood collections and transfusions occurring in the United States.<sup><xref rid="R2" ref-type="bibr">2</xref>&#x02013;<xref rid="R5" ref-type="bibr">5</xref></sup></p><p id="P6">Since 2008, data reported to the NBCUS have identified continuing declines in blood products collected and transfused. Decreases in collection have likely been a result of a decrease in demand for blood due to broad implementation of patient blood managements.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R6" ref-type="bibr">6</xref></sup> Patient blood management (PBM) refers to evidence-based medical and surgical programs to minimize blood loss and ensure appropriate hemoglobin levels to minimize the need for transfusion.<sup><xref rid="R7" ref-type="bibr">7</xref></sup> These programs have been demonstrated to reduce the amount of blood transfused while improving patient outcomes.<sup><xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R8" ref-type="bibr">8</xref></sup> While declines were steepest between 2008 and 2013, the rate of decline slowed and appeared to stabilize between 2015 and 2017, particularly among larger U.S. hospitals.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> In addition, the price paid for blood components has also decreased during this time. The median price paid by hospitals for a leukoreduced RBC unit declined from $221 in 2013 to $207 in 2017.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> This combination of declining transfusions and reductions in prices paid for blood products suggests financial pressures on blood collection organizations in the United States.<sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R10" ref-type="bibr">10</xref></sup></p><p id="P7">Here, data from the 2019 NBCUS are presented and include estimates on blood component collection, distribution, and transfusion in the United States.</p></sec><sec id="S6"><label>2 |</label><title>METHODS</title><p id="P8">The survey methods and questionnaire design for the 2019 survey were consistent with previous NBCUS surveys.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R11" ref-type="bibr">11</xref></sup> The 2019 survey included 44 questions, of which 18 were intended for blood collection facilities and 26 were directed toward transfusing hospitals.</p><p id="P9">Blood collection facilities were identified using the US Food and Drug Administration&#x02019;s Blood Establishment Registration database, through which 53 community-based (e.g., non-hospital-based) and 90 hospital-based blood collection centers were identified and sent a survey (<xref rid="F1" ref-type="fig">Figure 1</xref>). Community and hospital-based blood centers that were included in the database in 2017 but not included in 2019 were contacted to ascertain reasons for no longer being included in the blood establishment database. Transfusing hospitals were identified using the 2017 American Hospital Association annual survey database. As with previous surveys, hospitals with the following characteristics were excluded for any of the following reasons: performing &#x0003c;100 inpatient surgeries annually, location in a US territory, operated by the military or Department of Justice, or classified as rehabilitation, acute long-term care, or psychiatric facilities. After these exclusion criteria were applied, 3808 hospitals were included in the sampling frame. Of these, 100% of hospitals performing &#x02265;1000 inpatient surgical operations a year (n = 2139) were surveyed and 40% of hospitals that performed 100 to 999 inpatient surgical operations per year were randomly selected to be surveyed (n = 669/1669).</p><p id="P10">For 2013&#x02013;2017, the NBCUS surveys were administered with the MrInterview (IBM Corporation, Armonk, New York) software package. The 2019 survey was conducted using REDCap (Research Electronic Data Capture, Nashville, Tennessee).<sup><xref rid="R12" ref-type="bibr">12</xref></sup></p><p id="P11">Following survey dissemination, facilities were contacted via mail, email, and/or phone to increase participation. Due to challenges posed by the COVID-19 pandemic, the survey deadline was extended by 2 months to allow hospitals and blood centers additional response time.</p><p id="P12">National estimates were calculated for the number of units of blood and blood components collected, distributed, transfused, and outdated in 2019. These estimates were rounded to the nearest 1000 units. To assist with weighting and imputation, blood collection centers were stratified based on expected levels of collection or transfusion in 2019. Community-based blood centers were stratified into the following categories derived from the number of whole blood or RBC units collected in 2017: fewer than 50,000, 50,000 to 199,999, 200,000 to 399,000, and 400,000 or more units. Hospital-based blood centers were stratified into the following categories derived from the number of inpatient surgical operations performed in 2017: fewer than 1000, 1000&#x02013;7999, and 8000 or more inpatient surgical operations. Transfusing hospitals were stratified into the following categories derived from the number of inpatient surgical operations performed in 2017: 100&#x02013;999, 1000&#x02013;1399, 1400&#x02013;2399, 2400&#x02013;4999, 5000&#x02013;7999, and 8000 or more surgical operations. Transfusing hospitals are categorized by the number of inpatient surgeries because this is the most accurate proxy variable to predict hospital RBC utilization rates.<sup><xref rid="R13" ref-type="bibr">13</xref></sup></p><p id="P13">To account for non-responses within each stratum, responses were weighted by dividing the total number of eligible participants by the total number of respondents. Blood collection centers with an expected collection volume of more than 400,000 units were designated a weight of 1.0. The Taylor Series method was used to calculate confidence intervals (CIs) for national collection and transfusion estimates.<sup><xref rid="R14" ref-type="bibr">14</xref></sup></p><p id="P14">To account for missing data, a multiple imputation method was applied. Imputed variables were all continuous and non-normally distributed. A two-step imputation process was used to accommodate distributions skewed toward zero using established imputation factors from previous surveys.<sup><xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R15" ref-type="bibr">15</xref>,<xref rid="R16" ref-type="bibr">16</xref></sup> The following variables were weighted and imputed: whole blood and apheresis RBCs collected, distributed, rejected, outdated, and transfused; and apheresis platelets (PLTs), plasma, and cryoprecipitate units collected and transfused. To express whole blood-derived PLTs as apheresis equivalents, the numbers of whole blood-derived PLTs were divided by the median reported pool size, which was five.</p><p id="P15">Non-weighted data were used to calculate and report on mean and median cost per unit of blood and blood components paid by transfusing hospitals. Due to occurrence of outliers, medians were preferred over means for comparing differences in unit costs.</p><p id="P16">National rates of whole blood and RBC collection per 1000 population were calculated by dividing the total estimated number of units collected before the removal of rejected units by the 2019 US population aged 16&#x02013;64 years. This denominator was used to maintain consistency with previous NBCUS reports and to correspond with the general age range of blood donors (<xref rid="F2" ref-type="fig">Figure 2C</xref>). National rates of whole blood and RBC transfusion per 1000 population were calculated by dividing the total estimated number of units transfused by the entire 2019 US population. All population estimates were determined using state-specific and age-specific estimates from the US Census Bureau for 2019.<sup><xref rid="R17" ref-type="bibr">17</xref></sup> A subset of transfusing hospitals completing both 2017 and 2019 surveys was created to determine if differences in collection and utilization estimates between 2017 and 2019 surveys were influenced by sampling and response rates. This matched subset of NBCUS respondents from 2017 to 2019 was used for sensitivity analyses to determine if differences observed between these 2 years were uniform or varying when holding the responding facilities constant. All analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).</p></sec><sec id="S7"><label>3 |</label><title>RESULTS</title><sec id="S8"><label>3.1 |</label><title>Survey participation</title><p id="P17">The response rates for the 2019 NBCUS were 94.3% (50/53) for community-based blood collection facilities, 84% (76/90) for hospital-based blood collection facilities, and 76% (2140/2808) for transfusing hospitals. The total number of community-based blood centers that were eligible for inclusion decreased from 65 in 2017 to 53 in 2019. During 2017&#x02013;2019, 11 community-based blood centers had been acquired by a larger center or merged, and one had closed. Community-based blood centers collecting &#x0003c;400,000 RBC per year decreased from 62 in 2017 to 48 in 2019. Community-based blood centers which reported collecting &#x02265;400,000 RBC per year increased from 3 in 2017 to 5 in 2019, likely due to mergers between organizations or acquisitions of smaller centers. The number of hospitals which reported collecting blood decreased, from 107 in 2017 to 90 in 2019, as these facilities ceased blood collection operations.</p></sec><sec id="S9"><label>3.2 |</label><title>Whole blood and RBC collections and transfusions</title><p id="P18">In 2019, 11,590,000 units of whole blood and apheresis RBC units were collected in the United States (95% confidence interval [CI], 11,151,000&#x02013;12,029,000 units), a 5.1% decrease compared with 2017, when 12,211,000 units were collected (<xref rid="T1" ref-type="table">Table 1</xref>). Between 2017 and 2019, the number of whole blood units collected decreased by 6.1%, while the number of apheresis units increased by 0.7%. Among all whole blood units collected during 2019, 99.9% were collected for allogenic, nondirected transfusions. During 2019, 10,852,000 units of whole blood-derived and apheresis RBC units were transfused in the United States (95% CI, 10,444,000&#x02013;11,259,000 units), a 2.5% increase compared with 2017, when 10,654,000 units were transfused (<xref rid="T1" ref-type="table">Table 1</xref>). Between 2017 and 2019, the decline in the number of RBC units distributed from blood centers to hospitals continued (<xref rid="F2" ref-type="fig">Figure 2A</xref>). However, although the number of RBC units transfused had decreased during 2008&#x02013;2017, no significant decrease occurred between 2017 and 2019. Similarly, the number of whole blood and RBC units collected per 1000 population has decreased from a maximum of 86.4 in 2008 to 55.3 in 2019 (<xref rid="F2" ref-type="fig">Figure 2C</xref>). However, RBC units transfused per 1000 population were highest in 2008 (49.4), decreased until 2017 (32.8), and increased in 2019 (33.1).</p><p id="P19">During 2019, 5000 units (95% CI, 4000&#x02013;6000 units) of whole blood were collected for autologous transfusions and 9000 units (95% CI, 5000&#x02013;12,000 units) were collected for directed transfusions, a 50.1% and 46.6% decrease compared with 2017, respectively. Approximately 103,000 units (95% CI, 83,000&#x02013;124,000) were rejected after collection because of abnormal disease marker results (e.g., infectious disease testing) during 2019, a 32.6% increase compared with 2017 and a 94.3% increase since 2015. Approximately 608,000 units (95% CI, 541,000&#x02013;675,000) were rejected after collection for other reasons during 2019, such as insufficient volume or a broken bag, a 3.6% increase since 2017 and a 19.2% increase since 2015. Among all whole blood and RBC units rejected after collection, the proportion of units rejected because of abnormal disease markers has continued to increase from 9.4% in 2015 to 11.7% in 2017 and 14.5% in 2019. After accounting for rejections, the total available supply of whole blood and RBC units in 2019 was 10,879,000 (95% CI, 10,484,000&#x02013;11,274,000) units, a 5.8% decrease from 2017. During 2019, 349,000 whole blood and RBC units were outdated (95% CI, 321,000&#x02013;377,000), a 21.7% decrease compared with 2017.</p></sec><sec id="S10"><label>3.3 |</label><title>RBC transfusion by hospital size and by location within a health care facility</title><p id="P20">Among 1606 hospitals that provided RBC allogeneic transfusion data for both the 2017 and 2019 NBCUS, the median percent difference in the number of RBC units transfused between 2017 and 2019 was &#x02212;2.2% (<xref rid="T2" ref-type="table">Table 2</xref>). The median percent difference differed by surgical volume category. Hospitals with lower surgical volumes were associated with a larger decrease in RBC transfusion volume between 2017 and 2019. The median percent difference of RBC transfusions between 2017 and 2019 among hospitals with 100&#x02013;999 surgical operations per year was &#x02212;7.9%, while transfusions increased by 1.9% among hospitals performing &#x02265;8000 surgical operations per year.</p><p id="P21">In 2019, among locations within a healthcare facility, the highest volume of RBC units were transfused in inpatient medicine settings (3,909,000 units; 95% CI, 3,593,000&#x02013;4,226,000 units), followed by critical care (1,810,000 units; 95% CI, 1,645,000&#x02013;1,975,000 units), outpatient and non-acute inpatient settings (1,512,000 units; 95% CI, 1,335,000&#x02013;1,689,000 units), surgery (1,380,000 units; 95% CI 1,236,000&#x02013;1,525,000 units), and emergency departments (1,277,000 units; 1,163,000&#x02013;1,391,000 units) (<xref rid="T3" ref-type="table">Table 3</xref>).</p><p id="P22">Trends in RBC transfusion differed by location within healthcare facilities (<xref rid="T3" ref-type="table">Table 3</xref>). The largest increase between 2017 and 2019 was seen in emergency departments, with an 18.4% increase. Between 2017 and 2019, no substantial changes in RBC transfusions were reported among inpatient medicine, critical care, surgery, or outpatient and non-acute inpatient settings. When restricting the analysis to hospitals that responded in both 2017 and 2019, an increase in the matched median percent difference of RBC units transfused between 2017 and 2019 was only reported for transfusions performed in emergency departments (+20.6%). A decrease in the matched median percent difference was reported for transfusions performed in inpatient medicine settings (&#x02212;7.5%), critical care (&#x02212;9.4%), surgery (&#x02212;5.9%), and outpatient and non-acute inpatient settings (&#x02212;6.1%).</p></sec><sec id="S11"><label>3.4 |</label><title>PLT, plasma, and cryoprecipitate distribution and transfusion</title><p id="P23">In 2019, 2,359,000 units (95% CI, 2,240,000&#x02013;2,477,000 units) of apheresis PLT units were distributed, a 0.9% increase compared with the 2,338,000 units distributed in 2017 (<xref rid="T4" ref-type="table">Table 4</xref>). Approximately 149,000 units (in apheresis unit equivalents; 95% CI, 105,000&#x02013;193,000 units) of whole blood-derived PLTs were distributed in 2019, a 33.1% decrease compared with the 223,000 units distributed in 2017. Among all PLT units distributed, the proportion that were whole blood-derived decreased from 8.7% in 2017 to 5.9% in 2019.</p><p id="P24">In 2019, 2,243,000 apheresis and whole blood-derived PLT units (95% CI, 1,930,000&#x02013;2,555,000 units) were transfused, a 15.8% increase from the 1,937,000 units transfused in 2017. Approximately 1,996,000 apheresis PLT units (95% CI, 1,846,000&#x02013;2,147,000 units) were transfused in 2019, an 8.0% increase from the 1,848,000 units transfused in 2017 and a 10.5% increase from the 1,807,000 units transfused in 2015. Approximately 243,000 whole blood-derived platelet units (in apheresis equivalents; 95% CI, 0&#x02013;503,000 units) were transfused in 2019, a 197% increase from 2017 and 42.1% increase from 2015. In 2019, among locations within a healthcare facility, the highest volume of PLT units were transfused in inpatient medicine settings (1,050,000 units; 95% CI: 488,000&#x02013;1,612,000 units), followed by outpatient and non-acute inpatient settings (462,000 units; 95% CI, 215,000&#x02013;709,000 units), critical care (448,000 units; 95% CI, 345,000&#x02013;551,000 units), surgery (280,000 units; 95% CI 239,000&#x02013;321,000 units), and emergency departments (105,000 units; 86,000&#x02013;124,000 units). Between 2017 and 2019, the largest increase in PLT transfusions was seen in outpatient and non-acute inpatient settings (28.1%), inpatient medicine settings (25.5%), and critical care (16.4%) (<xref rid="T5" ref-type="table">Table 5</xref>).</p><p id="P25">A total of 2,679,000 units of plasma (95% CI, 2,525,000&#x02013;2,833,000 units) were distributed in 2019, a 16.5% decrease compared to the 3,209,000 of plasma distributed in 2017. This value includes all types of plasma, including fresh-frozen plasma, plasma frozen within 24 h of collection, cryoprecipitate-reduced plasma, and liquid plasma. A decrease was also seen in the number of plasma units transfused. Approximately 2,185,000 plasma units (95% CI, 2,068,000&#x02013;2,301,000 units) were transfused in 2019, an 8.0% decrease compared to the 2,374,000 plasma units transfused in 2017.</p><p id="P26">In total, 2,304,000 units of cryoprecipitated AHF (95% CI, 2,045,000&#x02013;2,562,000 units) were distributed in 2019, a 6.3% increase compared to the 2,168,00 units of cryoprecipitated AHF distributed in 2017. Similarly, the number of transfused cryoprecipitated AHF units increased by 11.3%, from 1,064,000 units in 2017 to 1,184,000 units in 2019 (95% CI, 1,030,000&#x02013;1,339,000 units).</p><p id="P27">A combined 229,000 units of platelets, plasma, and cryoprecipitated AHF were outdated in community and hospital-based blood centers in 2019 (95% CI, 194,000&#x02013;264,000), a 28.5% decreased compared to the 320,000 units outdated in 2017. The number and percent of units outdated at blood centers during 2019 included 118,000 (4.8% of sum of units distributed and outdated) apheresis PLT units, 70,000 whole blood-derived PLT apheresis equivalents (32.0%), 32,000 plasma units (1.2%), and 9000 cryoprecipitated AHF units (0.4%). In hospitals, the number of PLT, plasma, and cryoprecipitated AHF units outdated increased 12.1% from 446,000 in 2017 to 500,000 (95% CI, 466,000&#x02013;534,000) in 2019. Outdated components at hospitals during 2019 included 192,000 apheresis PLT units (8.8% of sum of units transfused and outdated), 15,000 whole blood-derived PLT apheresis equivalents (5.8%), 197,000 plasma units (8.3%), and 96,000 cryoprecipitate units (7.5%).</p></sec></sec><sec id="S12"><label>4 |</label><title>DISCUSSION</title><p id="P28">Since 2008, steep declines in blood utilization have been reported in the United States.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> During the same time period, US blood collection organizations have reported fewer donations and collections of blood products.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> The findings of the 2019 NBCUS suggest that transfusions have not decreased on an annual basis in the United States for the first time since 2008. Declines in blood transfusion have been largely attributable to adoption of patient blood management programs, decreased surgical blood loss, and other scientific and medical advancements in clinical care.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R6" ref-type="bibr">6</xref></sup> The trends in RBC transfusion differed by hospital surgical volume and by the location within the healthcare facility the transfusion occurred. Similar to 2017, hospitals with lower surgical volumes reported greater decreases in red blood cell transfusion than hospitals with larger surgical volumes.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> However, a greater median percent difference between 2017 and 2019 compared to difference between 2015 and 2017 was noted across all surgical volume categories. This suggests that larger hospitals are, on average, no longer experiencing a decrease in RBC utilization, and the decline in utilization among smaller hospitals continues to slow. Although further study is required, one reason may be that larger hospitals have fully implemented patient blood management programs and reached a nadir in blood use, while smaller hospitals continue to develop and implement these initiatives. An additional notable finding in the present study is that RBC utilization in high acuity settings such as critical care units and emergency departments increased between 2017 and 2019. While reasons for this increase are unclear, one explanation may be that many patient blood management program strategies (limiting phlebotomy for testing, treating preoperative anemia, implementing red cell recovery techniques and other surgery-associated strategies) are likely to have greater impact in other clinical settings, but not in the delivery of critical and emergency care.<sup><xref rid="R7" ref-type="bibr">7</xref></sup> However, RBC utilization also increased in outpatient and nonacute settings, demonstrating a variety of clinical settings have reported an increase in RBC use.</p><p id="P29">Many other countries have seen changing trends in RBC utilization. Among countries reporting to the European Blood Alliance, between 2016 and 2017 most reported decrease in RBC units issued (2.2% decrease in the total among all reporting countries), but between 2017 and 2018, 7 of 18 countries reported an increase and only 11 reported a decrease (1.1% decrease in total).<sup><xref rid="R18" ref-type="bibr">18</xref></sup> Other regions and countries that have reported slowing of declines or increases in red blood cell demand include New Zealand, Australia, and Quebec.<sup><xref rid="R19" ref-type="bibr">19</xref>&#x02013;<xref rid="R21" ref-type="bibr">21</xref></sup> Many countries continue to have lower rates per population of red blood cell utilization compared to the United States (33.1 red blood cell units transfused per 1000 population). In 2019, reported rates of red blood cell units issued per 1000 population include 20.9 in New Zealand, 24.2 in Quebec, 24.7 in Australia, and 24.6 in England.<sup><xref rid="R19" ref-type="bibr">19</xref>,<xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R22" ref-type="bibr">22</xref></sup> The cause for these differences is unclear but suggests that the United States could further decrease its rate of RBC utilization.</p><p id="P30">Between 2017 and 2019, RBC collections continued to decrease while transfusions increased slightly, indicating a narrowing between blood supply and demand. This suggests the potential for reduced elasticity in blood supply, which may impact blood sufficiency if blood demand increases or blood supply decreases during public health emergencies.<sup><xref rid="R23" ref-type="bibr">23</xref></sup> The potential for reduced elasticity has resulted in both governmental and non-governmental stakeholders to express concerns about the adequacy of the blood supply.<sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R23" ref-type="bibr">23</xref></sup> In June 2019, the U.S. Congress passed the Pandemic and All-Hazards Preparedness and Advancing Innovation Act, which directs the U.S. Department of Health and Human Services to perform periodic assessments about the safety and adequacy of the blood supply during disasters and public health emergencies.<sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup> In response, the Advisory Committee on Blood and Tissue Safety and Availability developed recommendations, including (1) funding a national blood campaign and supporting studies on attracting and maintaining blood donors, (2) developing a system to collect real-time national blood collection and utilization data to determine if blood supply is meeting demand, and (3) creating a blue ribbon panel to address funding and reimbursement issues that might pose challenges in maintaining an adequate blood supply.<sup><xref rid="R23" ref-type="bibr">23</xref></sup> CDC and the Office of the Assistant Secretary of Health (OASH) will continue to monitor the impact of the current COVID-19 pandemic on blood demand and the adequacy of the blood supply using both existing hemovigilance data (as part of the National Healthcare Safety Network Hemovigilance Module) and as part of the next NBCUS survey.</p><p id="P31">Since 2015, the number of collected and transfused apheresis PLT units has increased. An aging US population may lead to an increase in the need for PLT transfusions because of an increase in the incidence of cancer and other chronic diseases.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R25" ref-type="bibr">25</xref></sup> Between 2017 and 2019, PLT transfusions increased in inpatient, critical care, and outpatient and non-acute inpatients settings, consistent with an increase in demand for PLT transfusions associated with clinical conditions in an aging patient population. The increasing demand for PLTs may pose future challenges to maintaining an adequate PLT supply.<sup><xref rid="R25" ref-type="bibr">25</xref>,<xref rid="R26" ref-type="bibr">26</xref></sup> The average age of apheresis PLT donors is increasing,<sup><xref rid="R25" ref-type="bibr">25</xref></sup> with blood centers reporting difficulties with recruiting and retaining younger apheresis PLT donors. Most PLTs in the United States are collected through apheresis procedures, which generally require more time than whole blood donations and can discourage younger donors from donating.<sup><xref rid="R25" ref-type="bibr">25</xref></sup> PLTs also have a shorter shelf life than red blood cells and plasma.<sup><xref rid="R26" ref-type="bibr">26</xref></sup> Potential strategies to increase the PLT supply could include improving recruitment and retention of PLT donors, adopting technology to increase the shelf-life of PLTs (e.g., cold storage), and utilizing whole blood-derived PLT units.<sup><xref rid="R25" ref-type="bibr">25</xref>,<xref rid="R26" ref-type="bibr">26</xref></sup></p><p id="P32">The findings are subject to several limitations. First, 2019 NBCUS data were collected during the period when hospitals were experiencing significant disruptions due to the COVID-19 pandemic. Data are self-reported and minimal verification of hospital data was performed to avoid overburdening facilities. Although the deadline for completing the 2019 NBCUS was extended, the hospital response rate was lower than the 2017 NBCUS hospital response rate. Additionally, there is potential for novel pandemic-related data quality issues that cannot be easily quantified and would not be encapsulated by the confidence intervals presented. Second, imputation and weighting were used to generate national estimates. Changes in sampling and response rates could affect comparisons to previous NBCUS estimates. Finally, similar to previous iterations of the NBCUS, certain hospital types were excluded (e.g., smaller hospitals, military hospitals, and outpatient facilities), potentially resulting in underestimates.</p><p id="P33">In conclusion, the 2019 NBCUS suggests that the decline in utilization rates of RBC in the United States might have ended. Between 2017 and 2019, RBC collections declined while RBC transfusions did not significantly change, suggesting a narrowing between blood supply and demand. However, apheresis PLT collection and utilization have increased since 2015, and additional strategies may be needed to ensure a sufficient PLT supply. CDC and OASH will continue to monitor national blood collection and utilization data to support efforts to ensure the safety and availability of the blood supply.</p></sec></body><back><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P34">CONFLICT OF INTEREST</p><p id="P35">The authors have disclosed no conflicts of interest. 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AHA, American Hospital Association</p></caption><graphic xlink:href="nihms-1788920-f0001" position="float"/></fig><fig position="float" id="F2"><label>FIGURE 2</label><caption><p id="P41">Trends in (A) RBC distributions and transfusions, (B) RBC units outdated in blood centers and hospitals, and (C) RBC collections and transfusion per 1000 population</p></caption><graphic xlink:href="nihms-1788920-f0002" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>TABLE 1</label><caption><p id="P42">Estimated numbers of whole blood and RBC units collected, transfused, and outdated in 2019 (expressed in thousands)</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"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="left" valign="bottom" rowspan="1" colspan="1">Blood centers</th><th align="left" valign="bottom" rowspan="1" colspan="1">Hospitals</th><th align="left" valign="bottom" rowspan="1" colspan="1">Combined totals</th><th align="left" valign="bottom" rowspan="1" colspan="1">95% CI</th><th align="left" valign="bottom" rowspan="1" colspan="1">2017 totals<sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">% change 2019&#x02013;2017</th></tr></thead><tbody><tr><td colspan="7" align="left" valign="top" rowspan="1">Collections</td></tr><tr><td colspan="7" align="left" valign="top" rowspan="1">Whole blood units</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Allogeneic, nondirected</td><td align="center" valign="top" rowspan="1" colspan="1">9370</td><td align="center" valign="top" rowspan="1" colspan="1">407</td><td align="center" valign="top" rowspan="1" colspan="1">9777</td><td align="center" valign="top" rowspan="1" colspan="1">(9306&#x02013;10,248)</td><td align="center" valign="top" rowspan="1" colspan="1">10,399</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;6.0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Autologous</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1">5</td><td align="center" valign="top" rowspan="1" colspan="1">(4&#x02013;6)</td><td align="center" valign="top" rowspan="1" colspan="1">10</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;50.8%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Directed</td><td align="center" valign="top" rowspan="1" colspan="1">5</td><td align="center" valign="top" rowspan="1" colspan="1">4</td><td align="center" valign="top" rowspan="1" colspan="1">9</td><td align="center" valign="top" rowspan="1" colspan="1">(5&#x02013;12)</td><td align="center" valign="top" rowspan="1" colspan="1">16</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;46.6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Apheresis RBC units<sup><xref rid="TFN2" ref-type="table-fn">b</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">1789</td><td align="center" valign="top" rowspan="1" colspan="1">11</td><td align="center" valign="top" rowspan="1" colspan="1">1800</td><td align="center" valign="top" rowspan="1" colspan="1">(1645&#x02013;1955)</td><td align="center" valign="top" rowspan="1" colspan="1">1787</td><td align="center" valign="top" rowspan="1" colspan="1">0.7%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total supply</td><td align="center" valign="top" rowspan="1" colspan="1">11,167</td><td align="center" valign="top" rowspan="1" colspan="1">423</td><td align="center" valign="top" rowspan="1" colspan="1">11,590</td><td align="center" valign="top" rowspan="1" colspan="1">(11,151&#x02013;12,029)</td><td align="center" valign="top" rowspan="1" colspan="1">12,211</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;5.1%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Rejected on testing</td><td align="center" valign="top" rowspan="1" colspan="1">97</td><td align="center" valign="top" rowspan="1" colspan="1">6</td><td align="center" valign="top" rowspan="1" colspan="1">103</td><td align="center" valign="top" rowspan="1" colspan="1">(83&#x02013;124)</td><td align="center" valign="top" rowspan="1" colspan="1">78</td><td align="center" valign="top" rowspan="1" colspan="1">32.6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Rejected for other reasons<sup><xref rid="TFN3" ref-type="table-fn">c</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">592</td><td align="center" valign="top" rowspan="1" colspan="1">16</td><td align="center" valign="top" rowspan="1" colspan="1">608</td><td align="center" valign="top" rowspan="1" colspan="1">(541&#x02013;675)</td><td align="center" valign="top" rowspan="1" colspan="1">587</td><td align="center" valign="top" rowspan="1" colspan="1">3.6%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total available supply</td><td align="center" valign="top" rowspan="1" colspan="1">10,478</td><td align="center" valign="top" rowspan="1" colspan="1">401</td><td align="center" valign="top" rowspan="1" colspan="1">10,879</td><td align="center" valign="top" rowspan="1" colspan="1">(10,484&#x02013;11,274)</td><td align="center" valign="top" rowspan="1" colspan="1">11,545</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;5.8%</td></tr><tr><td colspan="7" align="left" valign="top" rowspan="1">Transfusions</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Allogeneic, nondirected</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">10,834</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">(10,427&#x02013;11,241)</td><td align="center" valign="top" rowspan="1" colspan="1">10,572</td><td align="center" valign="top" rowspan="1" colspan="1">2.5%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Autologous</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">9</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">(2&#x02013;15)</td><td align="center" valign="top" rowspan="1" colspan="1">27</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;68.4%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Directed</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">9</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">(4&#x02013;15)</td><td align="center" valign="top" rowspan="1" colspan="1">56</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;83.7%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Total Transfusions</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">10,852</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">(10,444&#x02013;11,259)</td><td align="center" valign="top" rowspan="1" colspan="1">10,654</td><td align="center" valign="top" rowspan="1" colspan="1">1.9%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Outdated whole blood or RBCs</td><td align="center" valign="top" rowspan="1" colspan="1">173</td><td align="center" valign="top" rowspan="1" colspan="1">177</td><td align="center" valign="top" rowspan="1" colspan="1">349</td><td align="center" valign="top" rowspan="1" colspan="1">(321&#x02013;377)</td><td align="center" valign="top" rowspan="1" colspan="1">446</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;21.7%</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>a</label><p id="P43">2017 totals were obtained from the 2017 NBCUS.<sup><xref rid="R4" ref-type="bibr">4</xref></sup></p></fn><fn id="TFN2"><label>b</label><p id="P44">Apheresis RBC units include allogeneic, autologous, directed, and concurrent collections.</p></fn><fn id="TFN3"><label>c</label><p id="P45">Units rejected for other reasons do not include outdated units.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>TABLE 2</label><caption><p id="P46">Percent difference in allogeneic RBC units transfused in 2017 and 2019 from matched hospitals</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="bottom" rowspan="1" colspan="1">Surgical volume category</th><th align="left" valign="bottom" rowspan="1" colspan="1">N<sup><xref rid="TFN4" ref-type="table-fn">a</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">Median (mean) 2019 allogeneic RBCs<sup><xref rid="TFN4" ref-type="table-fn">a</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">Median % difference<sup><xref rid="TFN5" ref-type="table-fn">b</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">IQR<sup><xref rid="TFN6" ref-type="table-fn">c</xref></sup> of % difference<sup><xref rid="TFN5" ref-type="table-fn">b</xref></sup></th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">100&#x02013;999 surgical operations per year</td><td align="center" valign="middle" rowspan="1" colspan="1">170</td><td align="center" valign="middle" rowspan="1" colspan="1">392 (525)</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;7.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">35.2%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">1000&#x02013;1399 surgical operations per year</td><td align="center" valign="middle" rowspan="1" colspan="1">207</td><td align="center" valign="middle" rowspan="1" colspan="1">1216 (1326)</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;6.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">23.4%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">1400&#x02013;2399 surgical operations per year</td><td align="center" valign="middle" rowspan="1" colspan="1">398</td><td align="center" valign="middle" rowspan="1" colspan="1">1863 (2038)</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;3.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">25.6%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">2400&#x02013;4999 surgical operations per year</td><td align="center" valign="middle" rowspan="1" colspan="1">462</td><td align="center" valign="middle" rowspan="1" colspan="1">3483 (4061)</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;1.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">21.2%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">5000&#x02013;7999 surgical operations per year</td><td align="center" valign="middle" rowspan="1" colspan="1">199</td><td align="center" valign="middle" rowspan="1" colspan="1">6001 (6568)</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;0.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">19.0%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">8000 or more surgical operations per year</td><td align="center" valign="middle" rowspan="1" colspan="1">170</td><td align="center" valign="middle" rowspan="1" colspan="1">13,262 (15,507)</td><td align="center" valign="middle" rowspan="1" colspan="1">1.9%</td><td align="center" valign="middle" rowspan="1" colspan="1">12.5%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Total</td><td align="center" valign="middle" rowspan="1" colspan="1">1606</td><td align="center" valign="middle" rowspan="1" colspan="1">2666 (4355)</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;2.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">22.9%</td></tr></tbody></table><table-wrap-foot><fn id="TFN4"><label>a</label><p id="P47">Based on matched facilities reporting allogeneic red blood cells in both 2017 and 2019 NBCUS surveys.</p></fn><fn id="TFN5"><label>b</label><p id="P48">% difference calculated as 100*(2019&#x02013;2017)/2017.</p></fn><fn id="TFN6"><label>c</label><p id="P49">Interquartile range (75th&#x02013;25th percentile).</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>TABLE 3</label><caption><p id="P50">Red blood cell units transfused by location in 2019 (expressed in thousands)</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="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">2019 (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">2017</th><th align="left" valign="middle" rowspan="1" colspan="1">% diff</th><th align="left" valign="middle" rowspan="1" colspan="1">Matched median % diff</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">All surgery (including transplant)</td><td align="center" valign="middle" rowspan="1" colspan="1">1380 (1236&#x02013;1525, n = 980)</td><td align="center" valign="middle" rowspan="1" colspan="1">1409</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;2.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;5.9% (n = 465)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Emergency department</td><td align="center" valign="middle" rowspan="1" colspan="1">1277 (1163&#x02013;1391, n = 993)<sup><xref rid="TFN7" ref-type="table-fn">a</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">1042</td><td align="center" valign="middle" rowspan="1" colspan="1">18.4%</td><td align="center" valign="middle" rowspan="1" colspan="1">20.6% (n = 484)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Inpatient medicine (including hematology/oncology)</td><td align="center" valign="middle" rowspan="1" colspan="1">3909 (3593&#x02013;4226, n = 982)</td><td align="center" valign="middle" rowspan="1" colspan="1">3896</td><td align="center" valign="middle" rowspan="1" colspan="1">0.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;7.5% (n = 499)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Obstetrics/gynecology</td><td align="center" valign="middle" rowspan="1" colspan="1">219 (195&#x02013;242, n = 976)</td><td align="center" valign="middle" rowspan="1" colspan="1">241</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;10.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;2.2% (n = 354)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Pediatrics</td><td align="center" valign="middle" rowspan="1" colspan="1">159 (89&#x02013;229, n = 1004)</td><td align="center" valign="middle" rowspan="1" colspan="1">143</td><td align="center" valign="middle" rowspan="1" colspan="1">10.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0% (n = 89)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Neonates</td><td align="center" valign="middle" rowspan="1" colspan="1">103 (78&#x02013;128, n = 1031)</td><td align="center" valign="middle" rowspan="1" colspan="1">106</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;3.0%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0% (n = 170)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Critical care</td><td align="center" valign="middle" rowspan="1" colspan="1">1810 (1645&#x02013;1975, n = 916)</td><td align="center" valign="middle" rowspan="1" colspan="1">1718</td><td align="center" valign="middle" rowspan="1" colspan="1">5.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;9.4% (n = 369)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Outpatient and non-acute inpatient settings<sup><xref rid="TFN8" ref-type="table-fn">b</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">1512 (1335&#x02013;1689, n = 969)</td><td align="center" valign="middle" rowspan="1" colspan="1">1416</td><td align="center" valign="middle" rowspan="1" colspan="1">6.3%</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;6.1% (n = 381)</td></tr></tbody></table><table-wrap-foot><fn id="TFN7"><label>a</label><p id="P51">Indicates statistically significant change (<italic toggle="yes">p</italic> &#x0003c; .05).</p></fn><fn id="TFN8"><label>b</label><p id="P52">Includes outpatient dialysis, rehabilitation, and long-term care.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4" orientation="landscape"><label>TABLE 4</label><caption><p id="P53">Estimated number of platelets, plasma, and cryoprecipitate units distributed, transfused, and outdated in 2019 (expressed in thousands)</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"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="left" valign="bottom" rowspan="1" colspan="1">Blood centers</th><th align="left" valign="bottom" rowspan="1" colspan="1">Hospitals</th><th align="left" valign="bottom" rowspan="1" colspan="1">Combined totals</th><th align="left" valign="bottom" rowspan="1" colspan="1">95% CI</th><th align="left" valign="bottom" rowspan="1" colspan="1">2017 Totals<sup><xref rid="TFN9" ref-type="table-fn">a</xref></sup></th><th align="left" valign="bottom" rowspan="1" colspan="1">% change 2019&#x02013;2017</th></tr></thead><tbody><tr><td colspan="7" align="left" valign="middle" rowspan="1">Distributed</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Apheresis platelets</td><td align="center" valign="middle" rowspan="1" colspan="1">2215</td><td align="center" valign="middle" rowspan="1" colspan="1">144</td><td align="center" valign="middle" rowspan="1" colspan="1">2359</td><td align="center" valign="middle" rowspan="1" colspan="1">(2240&#x02013;2477)</td><td align="center" valign="middle" rowspan="1" colspan="1">2338</td><td align="center" valign="middle" rowspan="1" colspan="1">0.9%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Whole-blood-derived PLTs<sup><xref rid="TFN10" ref-type="table-fn">b</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">133</td><td align="center" valign="middle" rowspan="1" colspan="1">16</td><td align="center" valign="middle" rowspan="1" colspan="1">149</td><td align="center" valign="middle" rowspan="1" colspan="1">(105&#x02013;193)</td><td align="center" valign="middle" rowspan="1" colspan="1">223</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;33.1%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Total platelets</td><td align="center" valign="middle" rowspan="1" colspan="1">2348</td><td align="center" valign="middle" rowspan="1" colspan="1">160</td><td align="center" valign="middle" rowspan="1" colspan="1">2508</td><td align="center" valign="middle" rowspan="1" colspan="1">(2375&#x02013;2641)</td><td align="center" valign="middle" rowspan="1" colspan="1">2560</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;2.0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Total plasma</td><td align="center" valign="middle" rowspan="1" colspan="1">2535</td><td align="center" valign="middle" rowspan="1" colspan="1">144</td><td align="center" valign="middle" rowspan="1" colspan="1">2679</td><td align="center" valign="middle" rowspan="1" colspan="1">(2525&#x02013;2833)</td><td align="center" valign="middle" rowspan="1" colspan="1">3209</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;16.5%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Cryoprecipitate<sup><xref rid="TFN11" ref-type="table-fn">c</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">2179</td><td align="center" valign="middle" rowspan="1" colspan="1">125</td><td align="center" valign="middle" rowspan="1" colspan="1">2304</td><td align="center" valign="middle" rowspan="1" colspan="1">(2045&#x02013;2562)</td><td align="center" valign="middle" rowspan="1" colspan="1">2168</td><td align="center" valign="middle" rowspan="1" colspan="1">6.3%</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Blood center outdates<sup><xref rid="TFN12" ref-type="table-fn">d</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">197</td><td align="center" valign="middle" rowspan="1" colspan="1">32</td><td align="center" valign="middle" rowspan="1" colspan="1">229</td><td align="center" valign="middle" rowspan="1" colspan="1">(194&#x02013;264)</td><td align="center" valign="middle" rowspan="1" colspan="1">320</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;28.5%</td></tr><tr><td colspan="7" align="left" valign="middle" rowspan="1">Transfused</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Apheresis platelets</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">1996</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">(1846&#x02013;2147)</td><td align="center" valign="middle" rowspan="1" colspan="1">1848</td><td align="center" valign="middle" rowspan="1" colspan="1">8.0%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Whole-blood-derived PLTs<sup><xref rid="TFN10" ref-type="table-fn">b</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">243</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">(&#x02212;17&#x02013;503)</td><td align="center" valign="middle" rowspan="1" colspan="1">82</td><td align="center" valign="middle" rowspan="1" colspan="1">196.5%</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Total platelets (includes directed units)</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">2243</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">(1930&#x02013;2555)</td><td align="center" valign="middle" rowspan="1" colspan="1">1937</td><td align="center" valign="middle" rowspan="1" colspan="1">15.8%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Total plasma</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">2185</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">(2068&#x02013;2301)</td><td align="center" valign="middle" rowspan="1" colspan="1">2374</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;8.0%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Cryoprecipitate<sup><xref rid="TFN11" ref-type="table-fn">c</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">1184</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">(1030&#x02013;1339)</td><td align="center" valign="middle" rowspan="1" colspan="1">1064</td><td align="center" valign="middle" rowspan="1" colspan="1">11.3%</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Hospital outdates<sup><xref rid="TFN13" ref-type="table-fn">e</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">500</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">(466&#x02013;534)</td><td align="center" valign="middle" rowspan="1" colspan="1">446</td><td align="center" valign="middle" rowspan="1" colspan="1">12.1%</td></tr></tbody></table><table-wrap-foot><fn id="TFN9"><label>a</label><p id="P54">2017 totals were obtained from the 2017 NBCUS.<sup><xref rid="R4" ref-type="bibr">4</xref></sup></p></fn><fn id="TFN10"><label>b</label><p id="P55">Whole-blood-derived platelets are expressed as apheresis equivalents.</p></fn><fn id="TFN11"><label>c</label><p id="P56">Cryoprecipitates are expressed as individual unit equivalents.</p></fn><fn id="TFN12"><label>d</label><p id="P57">Blood center outdates are units that were outdated at non-hospital and hospital-based blood centers.</p></fn><fn id="TFN13"><label>e</label><p id="P58">Hospital outdates are units that were outdated at transfusing hospitals.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T5" orientation="landscape"><label>TABLE 5</label><caption><p id="P59">Platelet units transfused by location in 2019 (expressed in thousands)</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="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">2019 (95% CI)</th><th align="left" valign="middle" rowspan="1" colspan="1">2017</th><th align="left" valign="middle" rowspan="1" colspan="1">% diff</th><th align="left" valign="middle" rowspan="1" colspan="1">Matched median % diff</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">All surgery (including transplant)</td><td align="center" valign="middle" rowspan="1" colspan="1">280 (239&#x02013;321, n = 890)</td><td align="center" valign="middle" rowspan="1" colspan="1">300</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;7.2%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0% (n = 346)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Emergency department</td><td align="center" valign="middle" rowspan="1" colspan="1">105 (86&#x02013;124, n = 891)</td><td align="center" valign="middle" rowspan="1" colspan="1">99</td><td align="center" valign="middle" rowspan="1" colspan="1">5.8%</td><td align="center" valign="middle" rowspan="1" colspan="1">12.1% (n = 310)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Inpatient medicine (including hematology/oncology)</td><td align="center" valign="middle" rowspan="1" colspan="1">1050 (488&#x02013;1612, n = 906)</td><td align="center" valign="middle" rowspan="1" colspan="1">783</td><td align="center" valign="middle" rowspan="1" colspan="1">25.5%</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;3.8% (n = 400)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Obstetrics/gynecology</td><td align="center" valign="middle" rowspan="1" colspan="1">11 (9&#x02013;13, n = 876)<sup><xref rid="TFN14" ref-type="table-fn">a</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">16</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;43.4%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0% (n = 146)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Pediatrics</td><td align="center" valign="middle" rowspan="1" colspan="1">79 (25&#x02013;133, n = 903)</td><td align="center" valign="middle" rowspan="1" colspan="1">84</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;6.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">0.0% (n = 44)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Neonates</td><td align="center" valign="middle" rowspan="1" colspan="1">34 (20&#x02013;47, n = 914)</td><td align="center" valign="middle" rowspan="1" colspan="1">34</td><td align="center" valign="middle" rowspan="1" colspan="1">0.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02212;5.0% (n = 106)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Critical care</td><td align="center" valign="middle" rowspan="1" colspan="1">448 (345&#x02013;551, n = 860)</td><td align="center" valign="middle" rowspan="1" colspan="1">375</td><td align="center" valign="middle" rowspan="1" colspan="1">16.4%</td><td align="center" valign="middle" rowspan="1" colspan="1">1.1% (n = 300)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Outpatient and non-acute inpatient settings<sup><xref rid="TFN15" ref-type="table-fn">b</xref></sup></td><td align="center" valign="middle" rowspan="1" colspan="1">462 (215&#x02013;709, n = 888)</td><td align="center" valign="middle" rowspan="1" colspan="1">332</td><td align="center" valign="middle" rowspan="1" colspan="1">28.1%</td><td align="center" valign="middle" rowspan="1" colspan="1">8.5% (n = 262)</td></tr></tbody></table><table-wrap-foot><fn id="TFN14"><label>a</label><p id="P60">Indicates statistically significant change (<italic toggle="yes">p</italic> &#x0003c; .05).</p></fn><fn id="TFN15"><label>b</label><p id="P61">Includes outpatient dialysis, rehabilitation, and long-term care.</p></fn></table-wrap-foot></table-wrap></floats-group></article>