253 related articles for article (PubMed ID: 15179251)
41. Is the Charlson Comorbidity Index useful for predicting trauma outcomes?
Gabbe BJ; Magtengaard K; Hannaford AP; Cameron PA
Acad Emerg Med; 2005 Apr; 12(4):318-21. PubMed ID: 15805322
[TBL] [Abstract][Full Text] [Related]
42. RISC II is superior to TRISS in predicting 30-day mortality in blunt major trauma patients in Hong Kong.
Hung KCK; Lai CY; Yeung JHH; Maegele M; Chan PSL; Leung M; Wong HT; Wong JKS; Leung LY; Chong M; Cheng CH; Cheung NK; Graham CA
Eur J Trauma Emerg Surg; 2022 Apr; 48(2):1093-1100. PubMed ID: 33900416
[TBL] [Abstract][Full Text] [Related]
43. A new approach to outcome prediction in trauma: A comparison with the TRISS model.
Bouamra O; Wrotchford A; Hollis S; Vail A; Woodford M; Lecky F
J Trauma; 2006 Sep; 61(3):701-10. PubMed ID: 16967011
[TBL] [Abstract][Full Text] [Related]
44. Validation of a base deficit-based trauma prediction model and comparison with TRISS and ASCOT.
Lam SW; Lingsma HF; van Beeck EF; Leenen LP
Eur J Trauma Emerg Surg; 2016 Oct; 42(5):627-633. PubMed ID: 26555726
[TBL] [Abstract][Full Text] [Related]
45. Liver dysfunction by model for end-stage liver disease score improves mortality prediction in injured patients with cirrhosis.
Corneille MG; Nicholson S; Richa J; Son C; Michalek J; Wolf SE; Stewart R
J Trauma; 2011 Jul; 71(1):6-11. PubMed ID: 21818010
[TBL] [Abstract][Full Text] [Related]
46. Validation of the Trauma and Injury Severity Score for Prediction of Mortality in a Greek Trauma Population.
Filippatos G; Tsironi M; Zyga S; Andriopoulos P
J Trauma Nurs; 2022 Jan-Feb 01; 29(1):34-40. PubMed ID: 35007249
[TBL] [Abstract][Full Text] [Related]
47. Applicability of the predictors of the historical trauma score in the present Dutch trauma population: modelling the TRISS predictors.
Gunning AC; Leenen LP
J Trauma Acute Care Surg; 2014 Oct; 77(4):614-9. PubMed ID: 25250603
[TBL] [Abstract][Full Text] [Related]
48. Improvement of the performance of survival prediction in the ageing blunt trauma population: A cohort study.
de Munter L; Ter Bogt NCW; Polinder S; Sewalt CA; Steyerberg EW; de Jongh MAC
PLoS One; 2018; 13(12):e0209099. PubMed ID: 30562397
[TBL] [Abstract][Full Text] [Related]
49. A new weighted injury severity scoring system: Better predictive power for pediatric trauma mortality.
Shi J; Shen J; Caupp S; Wang A; Nuss KE; Kenney B; Wheeler KK; Lu B; Xiang H
J Trauma Acute Care Surg; 2018 Aug; 85(2):334-340. PubMed ID: 29787558
[TBL] [Abstract][Full Text] [Related]
50. Application of "Trauma and Injury Severity Score" and "A Severity Characterization of Trauma" score to trauma patients in a setting different from "Major Trauma Outcome Study".
Rabbani A; Moini M
Arch Iran Med; 2007 Jul; 10(3):383-6. PubMed ID: 17604479
[TBL] [Abstract][Full Text] [Related]
51. The Revised Trauma Score plus serum albumin level improves the prediction of mortality in trauma patients.
Kim SC; Kim DH; Kim TY; Kang C; Lee SH; Jeong JH; Park YJ; Lee SB; Lim D
Am J Emerg Med; 2017 Dec; 35(12):1882-1886. PubMed ID: 28637583
[TBL] [Abstract][Full Text] [Related]
52. Modification of the Trauma and Injury Severity Score (TRISS) method provides better survival prediction in Asian blunt trauma victims.
Kimura A; Chadbunchachai W; Nakahara S
World J Surg; 2012 Apr; 36(4):813-8. PubMed ID: 22354490
[TBL] [Abstract][Full Text] [Related]
53. Discrimination and calibration of mortality risk prediction models in interventional cardiology.
Matheny ME; Ohno-Machado L; Resnic FS
J Biomed Inform; 2005 Oct; 38(5):367-75. PubMed ID: 16198996
[TBL] [Abstract][Full Text] [Related]
54. The impact of injury coding schemes on predicting hospital mortality after pediatric injury.
Burd RS; Madigan D
Acad Emerg Med; 2009 Jul; 16(7):639-45. PubMed ID: 19549015
[TBL] [Abstract][Full Text] [Related]
55. Survival prediction of trauma patients: a study on US National Trauma Data Bank.
Sefrioui I; Amadini R; Mauro J; El Fallahi A; Gabbrielli M
Eur J Trauma Emerg Surg; 2017 Dec; 43(6):805-822. PubMed ID: 28229175
[TBL] [Abstract][Full Text] [Related]
56. Assessing quality of care in a trauma referral center: benchmarking performance by TRISS-based statistics or by analysis of stratified ISS data?
Skaga NO; Eken T; Steen PA
J Trauma; 2006 Mar; 60(3):538-47. PubMed ID: 16531851
[TBL] [Abstract][Full Text] [Related]
57. An artificial neural network as a model for prediction of survival in trauma patients: validation for a regional trauma area.
DiRusso SM; Sullivan T; Holly C; Cuff SN; Savino J
J Trauma; 2000 Aug; 49(2):212-20; discussion 220-3. PubMed ID: 10963531
[TBL] [Abstract][Full Text] [Related]
58. A traumatic injury mortality prediction (TRIMP) based on a comprehensive assessment of abbreviated injury scale 2005 predot codes.
Wang M; Zhang G; Cong D; Zeng Y; Fan W; Shen Y
Sci Rep; 2021 Nov; 11(1):21757. PubMed ID: 34741125
[TBL] [Abstract][Full Text] [Related]
59. Validation of TRISS and ASCOT using a non-MTOS trauma registry.
Hannan EL; Mendeloff J; Farrell LS; Cayten CG; Murphy JG
J Trauma; 1995 Jan; 38(1):83-8. PubMed ID: 7745667
[TBL] [Abstract][Full Text] [Related]
60. A comparison of trauma scoring systems for injuries presenting to a district-level urban public hospital in Western Cape.
Mukonkole SN; Hunter L; Möller A; McCaul M; Lahri S; Van Hoving DJ
S Afr J Surg; 2020 Mar; 58(1):37-42. PubMed ID: 32243114
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]