Variables Predicting Trauma Patient Survival Following Massive Transfusion
The literature contains little information regarding demographic or transfusion-related factors associated with survival following massive blood transfusion in trauma patients. The objective of this study was to describe patient, transfusion, and laboratory variables contributing to survival in this...
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Veröffentlicht in: | Journal of emergency nursing 2005-06, Vol.31 (3), p.236-242 |
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description | The literature contains little information regarding demographic or transfusion-related factors associated with survival following massive blood transfusion in trauma patients. The objective of this study was to describe patient, transfusion, and laboratory variables contributing to survival in this population during the first and second days after arrival at the hospital. A secondary objective was to identify costs associated with massive blood transfusion.
A 7-year, retrospective review of 13,005 consecutive trauma patient records yielded a sample of 46 who were transfused with ≥50 units of blood products in the first postinjury day. Descriptive statistics were computed to describe the sample, transfusion data, and laboratory values. Logistic regression was used to predict survival using selected patient characteristics, laboratory data, and transfusion characteristics for both the first and second days.
Overall survival among this group who received massive transfusion was 63%. No significant differences were found between survivors and nonsurvivors in age, sex, type of trauma, or amount of any of the blood components administered on Day 1. Nonsurvivors had higher Injury Severity Scores and shorter ICU and hospital lengths of stay. Controlling for other variables, only arterial base deficit levels made a significant unique contribution to predicting survival. The volume of blood transfused on Day 2 did not contribute to survival prediction. The average cost of blood transfusion was more than $49,000 per survivor and $51,000 per nonsurvivor.
Defining medical futility based solely on the volume of blood products transfused currently is unjustified. The search for other early indicators of survival in the trauma population must continue. |
doi_str_mv | 10.1016/j.jen.2005.03.004 |
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A 7-year, retrospective review of 13,005 consecutive trauma patient records yielded a sample of 46 who were transfused with ≥50 units of blood products in the first postinjury day. Descriptive statistics were computed to describe the sample, transfusion data, and laboratory values. Logistic regression was used to predict survival using selected patient characteristics, laboratory data, and transfusion characteristics for both the first and second days.
Overall survival among this group who received massive transfusion was 63%. No significant differences were found between survivors and nonsurvivors in age, sex, type of trauma, or amount of any of the blood components administered on Day 1. Nonsurvivors had higher Injury Severity Scores and shorter ICU and hospital lengths of stay. Controlling for other variables, only arterial base deficit levels made a significant unique contribution to predicting survival. The volume of blood transfused on Day 2 did not contribute to survival prediction. The average cost of blood transfusion was more than $49,000 per survivor and $51,000 per nonsurvivor.
Defining medical futility based solely on the volume of blood products transfused currently is unjustified. The search for other early indicators of survival in the trauma population must continue.</description><identifier>ISSN: 0099-1767</identifier><identifier>EISSN: 1527-2966</identifier><identifier>DOI: 10.1016/j.jen.2005.03.004</identifier><identifier>PMID: 15983575</identifier><language>eng</language><publisher>United States: Mosby, Inc</publisher><subject>Adolescent ; Adult ; Age Distribution ; Blood Component Transfusion - economics ; Blood Component Transfusion - statistics & numerical data ; Blood transfusions ; Emergency Treatment - methods ; Female ; Hospital Costs - statistics & numerical data ; Hospitalization ; Hospitals ; Humans ; Injury Severity Score ; Length of Stay - statistics & numerical data ; Male ; Medical Futility ; Middle Aged ; Mortality ; Multiple Trauma - mortality ; Multiple Trauma - therapy ; Northwestern United States - epidemiology ; Nursing ; Predictive Value of Tests ; Retrospective Studies ; Risk Factors ; Sex Distribution ; Studies ; Survival Analysis ; Survival Rate ; Time Factors ; Trauma care ; Trauma Centers</subject><ispartof>Journal of emergency nursing, 2005-06, Vol.31 (3), p.236-242</ispartof><rights>2005 Emergency Nurses Association</rights><rights>Copyright Elsevier Limited Jun 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-61f8da645d44d630142a6073a32754aaedcf034aa3d9cba7e87ff99bedd412833</citedby><cites>FETCH-LOGICAL-c379t-61f8da645d44d630142a6073a32754aaedcf034aa3d9cba7e87ff99bedd412833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jen.2005.03.004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,12827,27905,27906,30980,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15983575$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Criddle, Laura M.</creatorcontrib><creatorcontrib>Eldredge, Deborah H.</creatorcontrib><creatorcontrib>Walker, Jeffery</creatorcontrib><title>Variables Predicting Trauma Patient Survival Following Massive Transfusion</title><title>Journal of emergency nursing</title><addtitle>J Emerg Nurs</addtitle><description>The literature contains little information regarding demographic or transfusion-related factors associated with survival following massive blood transfusion in trauma patients. The objective of this study was to describe patient, transfusion, and laboratory variables contributing to survival in this population during the first and second days after arrival at the hospital. A secondary objective was to identify costs associated with massive blood transfusion.
A 7-year, retrospective review of 13,005 consecutive trauma patient records yielded a sample of 46 who were transfused with ≥50 units of blood products in the first postinjury day. Descriptive statistics were computed to describe the sample, transfusion data, and laboratory values. Logistic regression was used to predict survival using selected patient characteristics, laboratory data, and transfusion characteristics for both the first and second days.
Overall survival among this group who received massive transfusion was 63%. No significant differences were found between survivors and nonsurvivors in age, sex, type of trauma, or amount of any of the blood components administered on Day 1. Nonsurvivors had higher Injury Severity Scores and shorter ICU and hospital lengths of stay. Controlling for other variables, only arterial base deficit levels made a significant unique contribution to predicting survival. The volume of blood transfused on Day 2 did not contribute to survival prediction. The average cost of blood transfusion was more than $49,000 per survivor and $51,000 per nonsurvivor.
Defining medical futility based solely on the volume of blood products transfused currently is unjustified. The search for other early indicators of survival in the trauma population must continue.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Distribution</subject><subject>Blood Component Transfusion - economics</subject><subject>Blood Component Transfusion - statistics & numerical data</subject><subject>Blood transfusions</subject><subject>Emergency Treatment - methods</subject><subject>Female</subject><subject>Hospital Costs - statistics & numerical data</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Injury Severity Score</subject><subject>Length of Stay - statistics & numerical data</subject><subject>Male</subject><subject>Medical Futility</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multiple Trauma - mortality</subject><subject>Multiple Trauma - therapy</subject><subject>Northwestern United States - epidemiology</subject><subject>Nursing</subject><subject>Predictive Value of Tests</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Sex Distribution</subject><subject>Studies</subject><subject>Survival Analysis</subject><subject>Survival Rate</subject><subject>Time Factors</subject><subject>Trauma care</subject><subject>Trauma Centers</subject><issn>0099-1767</issn><issn>1527-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp90M9LwzAUwPEgipvTP8CLFARvrUnTJA2eRPzJxIHTa8iSV0np2pm0E_97MzYQPHjKO3zeI3wROiU4I5jwyzqroc1yjFmGaYZxsYfGhOUizSXn-2iMsZQpEVyM0FEINY5QEHmIRoTJkjLBxujpXXunFw2EZObBOtO79iOZez0sdTLTvYO2T14Hv3Zr3SR3XdN0XxvxrENwa9jINlRDcF17jA4q3QQ42b0T9HZ3O795SKcv948319PUUCH7lJOqtJoXzBaF5RSTItccC6ppLlihNVhTYRoHaqVZaAGlqCopF2BtQfKS0gm62N5d-e5zgNCrpQsGmka30A1BcSGFkIxFeP4H1t3g2_g3RVghSplTXkZFtsr4LgQPlVp5t9T-WxGsNplVrWJmtcmsMFUxc9w5210eFkuwvxu7rhFcbQHEEGsHXgUTU5pY2IPple3cP-d_AFa0jX4</recordid><startdate>20050601</startdate><enddate>20050601</enddate><creator>Criddle, Laura M.</creator><creator>Eldredge, Deborah H.</creator><creator>Walker, Jeffery</creator><general>Mosby, Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20050601</creationdate><title>Variables Predicting Trauma Patient Survival Following Massive Transfusion</title><author>Criddle, Laura M. ; Eldredge, Deborah H. ; Walker, Jeffery</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-61f8da645d44d630142a6073a32754aaedcf034aa3d9cba7e87ff99bedd412833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Distribution</topic><topic>Blood Component Transfusion - economics</topic><topic>Blood Component Transfusion - statistics & numerical data</topic><topic>Blood transfusions</topic><topic>Emergency Treatment - methods</topic><topic>Female</topic><topic>Hospital Costs - statistics & numerical data</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Injury Severity Score</topic><topic>Length of Stay - statistics & numerical data</topic><topic>Male</topic><topic>Medical Futility</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multiple Trauma - mortality</topic><topic>Multiple Trauma - therapy</topic><topic>Northwestern United States - epidemiology</topic><topic>Nursing</topic><topic>Predictive Value of Tests</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Sex Distribution</topic><topic>Studies</topic><topic>Survival Analysis</topic><topic>Survival Rate</topic><topic>Time Factors</topic><topic>Trauma care</topic><topic>Trauma Centers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Criddle, Laura M.</creatorcontrib><creatorcontrib>Eldredge, Deborah H.</creatorcontrib><creatorcontrib>Walker, Jeffery</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of emergency nursing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Criddle, Laura M.</au><au>Eldredge, Deborah H.</au><au>Walker, Jeffery</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variables Predicting Trauma Patient Survival Following Massive Transfusion</atitle><jtitle>Journal of emergency nursing</jtitle><addtitle>J Emerg Nurs</addtitle><date>2005-06-01</date><risdate>2005</risdate><volume>31</volume><issue>3</issue><spage>236</spage><epage>242</epage><pages>236-242</pages><issn>0099-1767</issn><eissn>1527-2966</eissn><abstract>The literature contains little information regarding demographic or transfusion-related factors associated with survival following massive blood transfusion in trauma patients. The objective of this study was to describe patient, transfusion, and laboratory variables contributing to survival in this population during the first and second days after arrival at the hospital. A secondary objective was to identify costs associated with massive blood transfusion.
A 7-year, retrospective review of 13,005 consecutive trauma patient records yielded a sample of 46 who were transfused with ≥50 units of blood products in the first postinjury day. Descriptive statistics were computed to describe the sample, transfusion data, and laboratory values. Logistic regression was used to predict survival using selected patient characteristics, laboratory data, and transfusion characteristics for both the first and second days.
Overall survival among this group who received massive transfusion was 63%. No significant differences were found between survivors and nonsurvivors in age, sex, type of trauma, or amount of any of the blood components administered on Day 1. Nonsurvivors had higher Injury Severity Scores and shorter ICU and hospital lengths of stay. Controlling for other variables, only arterial base deficit levels made a significant unique contribution to predicting survival. The volume of blood transfused on Day 2 did not contribute to survival prediction. The average cost of blood transfusion was more than $49,000 per survivor and $51,000 per nonsurvivor.
Defining medical futility based solely on the volume of blood products transfused currently is unjustified. The search for other early indicators of survival in the trauma population must continue.</abstract><cop>United States</cop><pub>Mosby, Inc</pub><pmid>15983575</pmid><doi>10.1016/j.jen.2005.03.004</doi><tpages>7</tpages></addata></record> |
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subjects | Adolescent Adult Age Distribution Blood Component Transfusion - economics Blood Component Transfusion - statistics & numerical data Blood transfusions Emergency Treatment - methods Female Hospital Costs - statistics & numerical data Hospitalization Hospitals Humans Injury Severity Score Length of Stay - statistics & numerical data Male Medical Futility Middle Aged Mortality Multiple Trauma - mortality Multiple Trauma - therapy Northwestern United States - epidemiology Nursing Predictive Value of Tests Retrospective Studies Risk Factors Sex Distribution Studies Survival Analysis Survival Rate Time Factors Trauma care Trauma Centers |
title | Variables Predicting Trauma Patient Survival Following Massive Transfusion |
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