Performance of severity indices for admission and mortality of trauma patients in the intensive care unit: a retrospective cohort study

被引:1
|
作者
do Rio, Tatiane Goncalves Gomes de Novais [1 ]
Nogueira, Lilia de Souza [2 ]
Lima, Fernanda Rodrigues [3 ]
Cassiano, Carolina [4 ]
Garcia, Diogo de Freitas Valeiro [5 ]
机构
[1] Samaritano Higienopolis Hosp, Nursing Dept, Sao Paulo, Brazil
[2] Univ Sao Paulo, Sch Nursing, Med Surg Nursing Dept, Sao Paulo, Brazil
[3] Univ Sao Paulo, Sch Nursing, Sao Paulo, Brazil
[4] Fac Ciencias Med Santa Casa Sao Paulo, Nursing Dept, Sao Paulo, Brazil
[5] Nove Julho Univ, Sao Paulo, Brazil
关键词
Trauma; Trauma severity indices; Intensive care units; Mortality; ROC Curve; PREDICTION MODEL; SCORING SYSTEMS; TRISS;
D O I
10.1186/s40001-023-01532-6
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundLittle is known about the performance of severity indices for indicating intensive care and predicting mortality in the Intensive Care Unit (ICU) of trauma patients. This study aimed to compare the performance of severity indices to predict trauma patients' ICU admission and mortality.MethodsA retrospective cohort study which analyzed the electronic medical records of trauma patients aged >= 18 years, treated at a hospital in Brazil, between 2014 and 2017. Physiological [Revised Trauma Score (RTS), New Trauma Score (NTS) and modified Rapid Emergency Medicine Score (mREMS)], anatomical [Injury Severity Score (ISS) and New Injury Severity Score (NISS)] and mixed indices [Trauma and Injury Severity Score (TRISS), New Trauma and Injury Severity Score (NTRISS), Base-deficit Injury Severity Score (BISS) and Base-deficit and New Injury Severity Score (BNISS)] were compared in analyzing the outcomes (ICU admission and mortality) using the Area Under the Receiver Operating Characteristics Curves (AUC-ROC).ResultsFrom the 747 trauma patients analyzed (52.5% female; mean age 51.5 years; 36.1% falls), 106 (14.2%) were admitted to the ICU and 6 (0.8%) died in the unit. The ISS (AUC 0.919) and NISS (AUC 0.916) had better predictive capacity for ICU admission of trauma patients. The NISS (AUC 0.949), TRISS (AUC 0.909), NTRISS (AUC 0.967), BISS (AUC 0.902) and BNISS (AUC 0.976) showed excellent performance in predicting ICU mortality.ConclusionsAnatomical indices showed excellent predictive ability for admission of trauma patients to the ICU. The NISS and the mixed indices had the best performances regarding mortality in the ICU.
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页数:7
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