Association between tranexamic acid administration and mortality based on the trauma phenotype: a retrospective analysis of a nationwide trauma registry in Japan

被引:2
作者
Tachino, Jotaro [1 ]
Seno, Shigeto [2 ]
Matsumoto, Hisatake [1 ]
Kitamura, Tetsuhisa [3 ]
Hirayama, Atsushi [4 ]
Nakao, Shunichiro [1 ]
Katayama, Yusuke [1 ]
Ogura, Hiroshi [1 ]
Oda, Jun [1 ]
机构
[1] Osaka Univ, Dept Traumatol & Acute Crit Med, Grad Sch Med, 2-15 Yamada Oka, Suita, Osaka, Japan
[2] Osaka Univ, Grad Sch Informat Sci & Technol, Dept Bioinformat Engn, 1-5 Yamada Oka, Suita, Osaka, Japan
[3] Osaka Univ, Dept Social & Environm Med, Div Environm Med & Populat Sci, Grad Sch Med, 2-2 Yamada Oka, Suita, Osaka, Japan
[4] Osaka Univ, Dept Social Med, Publ Hlth, Grad Sch Med, 2-2 Yamada Oka, Suita, Osaka, Japan
基金
日本学术振兴会;
关键词
Tranexamic acid; Clinical phenotype; Nationwide cohort; Blunt trauma; LINE RISK; DEATH; RESUSCITATION; CRASH-2; CARE;
D O I
10.1186/s13054-024-04871-w
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
BackgroundIn trauma systems, criteria for individualised and optimised administration of tranexamic acid (TXA), an antifibrinolytic, are yet to be established. This study used nationwide cohort data from Japan to evaluate the association between TXA and in-hospital mortality among all patients with blunt trauma based on clinical phenotypes (trauma phenotypes).MethodsA retrospective analysis was conducted using data from the Japan Trauma Data Bank (JTDB) spanning 2019 to 2021.ResultsOf 80,463 patients with trauma registered in the JTDB, 53,703 met the inclusion criteria, and 8046 (15.0%) received TXA treatment. The patients were categorised into eight trauma phenotypes. After adjusting with inverse probability treatment weighting, in-hospital mortality of the following trauma phenotypes significantly reduced with TXA administration: trauma phenotype 1 (odds ratio [OR] 0.68 [95% confidence interval [CI] 0.57-0.81]), trauma phenotype 2 (OR 0.73 [0.66-0.81]), trauma phenotype 6 (OR 0.52 [0.39-0.70]), and trauma phenotype 8 (OR 0.67 [0.60-0.75]). Conversely, trauma phenotypes 3 (OR 2.62 [1.98-3.47]) and 4 (OR 1.39 [1.11-1.74]) exhibited a significant increase in in-hospital mortality.ConclusionsThis is the first study to evaluate the association between TXA administration and survival outcomes based on clinical phenotypes. We found an association between trauma phenotypes and in-hospital mortality, indicating that treatment with TXA could potentially influence this relationship. Further studies are needed to assess the usefulness of these phenotypes.
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页数:14
相关论文
共 42 条
[1]   Effect of tranexamic acid by baseline risk of death in acute bleeding patients: a meta-analysis of individual patient-level data from 28 333 patients [J].
Ageron, Francois-Xavier ;
Gayet-Ageron, Angele ;
Ker, Katharine ;
Coats, Timothy J. ;
Shakur-Still, Haleema ;
Roberts, Ian .
BRITISH JOURNAL OF ANAESTHESIA, 2020, 124 (06) :676-683
[2]  
[Anonymous], 1987, Multiple Imputations for Non Response in Surveys
[3]  
[Anonymous], 2016, Abbreviated Injury Scale 2005 update 2008
[4]   Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research [J].
Austin, Peter C. .
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2009, 38 (06) :1228-1234
[5]   INJURY SEVERITY SCORE - METHOD FOR DESCRIBING PATIENTS WITH MULTIPLE INJURIES AND EVALUATING EMERGENCY CARE [J].
BAKER, SP ;
ONEILL, B ;
HADDON, W ;
LONG, WB .
JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 1974, 14 (03) :187-196
[6]   Acute Respiratory Distress Syndrome 2022 1 Acute respiratory distress syndrome: causes, pathophysiology, and phenotypes [J].
Bos, Lieuwe D. J. ;
Ware, Lorraine B. .
LANCET, 2022, 400 (10358) :1145-1156
[7]   EVALUATING TRAUMA CARE - THE TRISS METHOD [J].
BOYD, CR ;
TOLSON, MA ;
COPES, WS .
JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 1987, 27 (04) :370-378
[8]   Acute respiratory distress syndrome subphenotypes and differential response to simvastatin: secondary analysis of a randomised controlled trial [J].
Calfee, Carolyn S. ;
Delucchi, Kevin L. ;
Sinha, Pratik ;
Matthay, Michael A. ;
Hackett, Jonathan ;
Shankar-Hari, Manu ;
McDowell, Cliona ;
Laffey, John G. ;
O'Kane, Cecilia M. ;
McAuley, Daniel F. .
LANCET RESPIRATORY MEDICINE, 2018, 6 (09) :691-698
[9]   A REVISION OF THE TRAUMA SCORE [J].
CHAMPION, HR ;
SACCO, WJ ;
COPES, WS ;
GANN, DS ;
GENNARELLI, TA ;
FLANAGAN, ME .
JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 1989, 29 (05) :623-629
[10]   Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning [J].
Falet, Jean-Pierre R. ;
Durso-Finley, Joshua ;
Nichyporuk, Brennan ;
Schroeter, Julien ;
Bovis, Francesca ;
Sormani, Maria-Pia ;
Precup, Doina ;
Arbel, Tal ;
Arnold, Douglas Lorne .
NATURE COMMUNICATIONS, 2022, 13 (01)