A latent class model for defining severe hemorrhage: Experience from the PROMMTT study

Journal of Trauma and Acute Care Surgery

Volumn 75, Issue 1 SUPPL1, 2013, Pages

  Rahbar, Mohammad H ^a,b   Del Junco, Deborah J ^a   Huang, Hanwen ^a   Ning, Jing ^c   Fox, Erin E ^a   Zhang, Xuan ^a   Schreiber, Martin A ^f   Brasel, Karen J ^g   Bulger, Eileen M ^h   Wade, Charles E ^a   Cotton, Bryan A ^a   Phelan, Herb A ^d   Cohen, Mitchell J ⁱ   Myers, John G ^e   Alarcon, Louis H ^j   Muskat, Peter ^k   Holcomb, John B ^a  

^a UNIVERSITY OF TEXAS   (United States)

^b UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH   (United States)

^c UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^d UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^e Mays Cancer Center at UT Health San Antonio   (United States)

^f OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^g MEDICAL COLLEGE OF WISCONSIN   (United States)

^h UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

ⁱ UNIVERSITY OF CALIFORNIA   (United States)

^j UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^k UNIVERSITY OF CINCINNATI   (United States)

more..

Author keywords

Hemorrhage; Latent class analysis; Massive transfusion; PROMMTT; Trauma

Indexed keywords

HEMOGLOBIN;

ACCURACY; ADULT; BLEEDING; BLOOD TRANSFUSION; CONFERENCE PAPER; DISEASE CLASSIFICATION; EMERGENCY WARD; ERYTHROCYTE; FEMALE; HEART RATE; HEMOSTASIS; HUMAN; LATENT CLASS MODEL; MAJOR CLINICAL STUDY; MALE; MODEL; PH; PRIORITY JOURNAL; SEVERE HEMORRHAGE; SYSTOLIC BLOOD PRESSURE; THROMBOCYTE;

ADULT; ALGORITHMS; BLOOD TRANSFUSION; CHI-SQUARE DISTRIBUTION; FEMALE; HEMORRHAGE; HOSPITAL MORTALITY; HUMANS; INJURY SEVERITY SCORE; INTERVENTION STUDIES; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PROBABILITY; PROSPECTIVE STUDIES; REGRESSION ANALYSIS; RESUSCITATION; TRAUMA CENTERS; TREATMENT OUTCOME; UNITED STATES; WOUNDS AND INJURIES;

EID: 84880405128     PISSN: 21630755     EISSN: 21630763     Source Type: Journal    
DOI: 10.1097/TA.0b013e31828fa3d3     Document Type: Conference Paper

References (40)

1. McLaughlin DF, Niles SE, Salinas J et al. A predictive model for massive transfusion in combat casualty patients. J Trauma. 2008;64:S57-S63.
2. Yuce lN, Lefering R,Maegele M et al. Trauma Associated Severe Hemorrhage (TASH)-Score: probability of mass transfusion as surrogate for life threatening hemorrhage after multiple trauma. J Trauma. 2006;60:1228-1236.
3. Nunez TC, Voskresensky IV, Dossett LA, Shinall R, Dutton WD, Cotton BA. Early prediction of massive transfusion in trauma: simple as ABC (assessment of blood consumption)? J Trauma. 2009;66:346-352.
4. Cotton BA,Dossett LA,Au BK,Nunez TC, Robertson AM,Young PP. Room for (performance) improvement: provider-related factors associatedwith poor outcomes in massive transfusion. J Trauma. 2009;67:1004-1012.
5. Riskin DJ, Tsai TC, Riskin L et al. Massive transfusion protocols: the role of aggressive resuscitation versus product ratio in mortality reduction. JAm Coll Surg. 2009;209:198-205.
6. Dente CJ, Shaz BH, Nicholas JM et al. Improvements in early mortality and coagulopathy are sustained better in patients with blunt trauma after institution of a massive transfusion protocol in a civilian Level I trauma center. J Trauma. 2009;66:1616-1624.
7. O'Keeffe T, Refaai M, Tchorz K, Forestner JE, Sarode R. A massive transfusion protocol to decrease blood component use and costs. Arch Surg. 2008;143:686-690.
8. Snyder CW, Weinberg JA, McGwin G Jr et al. The relationship of blood product ratio to mortality: survival benefit or survival bias? J Trauma. 2009;66:358-362.
9. Bandeen-Roche K, Miglioretti DL, Zeger SL, Rathouz PJ. Latent variable regression for multiple discrete outcomes. J Am Stat Assoc. 1997;92:1375-1386.
10. Wang MC, Qin J, Chiang CT. Analyzing recurrent event data with informative censoring. J Am Stat Assoc. 2001;96:1057-1065.
11. Huang CY, Qin J, Wang MC. Semiparametric analysis for recurrent event data with time-dependent covariates and informative censoring. Biometrics. 2010;66:39-49.
12. Cai J, Schaubel DE. Marginal means/rates models for multiple type recurrent event data. Lifetime Data Anal. 2004;10:121-138.
13. Holcomb JB, McMullin NR, Pearse L et al. Causes of death in U.S. Special Operations Forces in the global war on terrorism: 2001-2004. Ann Surg. 2007;245:986-991.
14. Tien HC, Spencer F, Tremblay LN, Rizoli SB, Brenneman FD. Preventable deaths from hemorrhage at a Level I Canadian trauma center. J Trauma. 2007;62:142-146.
15. Ledgerwood AM, Lucas CE. A review of studies on the effects of hemorrhagic shock and resuscitation on the coagulation profile. J Trauma. 2003;54:S68-S74.
16. Brohi K, Singh J, Heron M, Coats T. Acute traumatic coagulopathy. J Trauma. 2003;54:1127-1130.
17. MacLeod JB, Lynn M, McKenney MG, Cohn SM, Murtha M. Early coagulopathy predicts mortality in trauma. J Trauma. 2003;55:39-44.
18. Hess JR, Holcomb JB, Hoyt DB. Damage control resuscitation: the need for specific blood products to treat the coagulopathy of trauma. Transfusion. 2006;46:685-686.
19. Gonzalez EA, Moore FA, Holcomb JB et al. Fresh frozen plasma should be given earlier to patients requiring massive transfusion. J Trauma. 2007; 62:112-119.
20. Holcomb JB, Jenkins D, Rhee P et al. Damage control resuscitation: directly addressing the early coagulopathy of trauma. J Trauma. 2007;62:307-310.
21. Borgman MA, Spinella PC, Perkins JG et al. The ratio of blood products transfused affects mortality in patients receiving massive transfusions at a combat support hospital. J Trauma. 2007;63:805-813.
22. Holcomb JB, Wade CE, Michalek JE et al. Increased plasma and platelet to red blood cell ratios improves outcome in 466 massively transfused civilian trauma patients. Ann Surg. 2008;248:447-458.
23. Holcomb JB, del Junco DJ, Fox EE et al. The Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) study: comparative effectiveness of a time-varying treatment with competing risks. JAMA Surg. 2013;148:127-136.
24. Kashuk JL, Moore EE, Johnson JL et al. Postinjury life threatening coagulopathy: is 1:1 fresh frozen plasma:packed red blood cells the answer? J Trauma. 2008;65:261-270.
25. Eid M. Happiness and satisfaction: an application of a latent state-trait model for ordinal variables. Applications of Latent Trait and Latent Class Models in the Social Sciences. 1997;145-151.
26. Goncalves L, Subtil A, de OliveiraMR, do RV, Lee PW, Shaio MF. Bayesian latent class models in malaria diagnosis. PLoS One. 2012;7:e40633.
27. Rahbar MH, Huang H, Ning J, del Junco DJ, Fox EE, Holcomb JB. A latent class model for defining massive hemorrhage. In JSM Proceedings, Section on Statistics in Epidemiology; Alexandria, VA., American Statistical Association. 2012;3252-3264.
28. Rahbar MH, Fox EE, del Junco DJ et al. Coordination and management of multicenter clinical studies in trauma: experience from the PRospective Observational Multicenter Major Trauma Transfusion (PROMMTT) study. Resuscitation. 2012;83:459-464.
29. Goodman LA. Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika. 1974;61:215-231.
30. CloggCC, Goodman LA. Latent structure analysis of a set of multidimensional contingency tables. J Am Stat Assoc. 1984;79:762-771.
31. Nunez TC, Dutton WD, May AK, Holcomb JB, Young PP, Cotton BA. Emergency department blood transfusion predicts early massive transfusion and early blood component requirement. Transfusion. 2010;50:1914-1920.
32. Schreiber MA, Perkins J, Kiraly L, Underwood S, Wade C, Holcomb JB. Early predictors of massive transfusion in combat casualties. J Am Coll Surg. 2007;205:541-545.
33. Rainer TH, Ho AM, Yeung JH et al. Early risk stratification of patients with major trauma requiring massive blood transfusion. Resuscitation. 2011; 82:724-729.
34. Borgman MA, Spinella PC, Holcomb JB et al. The effect of FFP:RBC ratio on morbidity and mortality in trauma patients based on transfusion prediction score. Vox Sang. 2011;101:44-54.
35. Maegele M, Lefering R, Wafaisade A et al. Revalidation and update of the TASH-Score: a scoring system to predict the probability for massive transfusion as a surrogate for life-threatening haemorrhage after severe injury. Vox Sang. 2011;100:231-238.
36. Krumrei NJ, Park MS, Cotton BA, Zielinski MD. Comparison of massive blood transfusion predictivemodels in the rural setting. J Trauma Acute Care Surg. 2012;72:211-215.
37. Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the EM algorithm. J R Stat Soc Series B Stat Methodol. 1977;1-38.
38. Rubin DB. Multiple imputation after 18+ years. J Am Stat Assoc. 1996; 473-489.
39. Chung H, Flaherty BP, Schafer JL. Latent class logistic regression: application to marijuana use and attitudes among high school seniors. J R Stat Soc Ser A Stat Soc. 2006;169:723-743.
40. Huang GH, Bandeen-Roche K. Building an identifiable latent class model with covariate effects on underlying and measured variables. Psychometrika. 2004;69:5-32.