Predicting Survival in Geriatric Trauma Patients: A Comparison Between the TRISS Methodology and the Geriatric Trauma Outcome Score

Barea‐Mendoza, Jesús Abelardo; Chico‐Fernández, Mario; Sánchez-Casado, M.; Molina-Díaz, Ismael; Quintana-Díaz, Manuel; Jimenez-Moragas, José Manuel; Pérez-Bárcena, Jon; Llompart‐Pou, Juan Antonio

doi:10.1016/j.cireng.2018.02.017

Cited by 11 publications

(20 citation statements)

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“…None of the scoring tools mentioned above are speci c to older trauma patients. Both the anatomical scoring system and the physiological parameter scoring system have been reported to predict the prognosis of elderly patients with trauma [14,53,54]. But no studies have compared these scoring systems in older patients with trauma.…”

Section: Discussionmentioning

confidence: 99%

“…Compared with GTOS, GTOS uses the same parameters but has different coe cients [16]. Some studies have compared GTOS with TRISS, and the results suggest that GTOS does not show a signi cant advantage in predicting accuracy [14,15]. Unlike TRISS, the physiological parameters obtained for the rst time are required.…”

Section: Discussionmentioning

confidence: 99%

“…However, the trend of age change of trauma patients and the gradual increase of the number of elderly trauma patients has not aroused global attention. Prognosis prediction of trauma patients is an important part of making diagnosis and treatment decisions [14][15][16]. A number of scoring tools have been used to predict mortality in trauma patients [15].…”

Section: Introductionmentioning

confidence: 99%

“…A number of scoring tools have been used to predict mortality in trauma patients [15]. Some researchers have even proposed a prognostic scoring tool speci c to older trauma patients, although its predictive accuracy does not appear to be signi cantly superior to traditional scoring tools [14,[16][17][18]. At the same time, there is a lack of research comparing traditional prognostic assessment tools in elderly patients with trauma.…”

Section: Introductionmentioning

confidence: 99%

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Change in Age Distribution of the Injuries and Comparison of Different Scoring Tools in Predicting Mortality Among Geriatric Trauma Patients

Jiang¹,

Zheng²,

Zhang³

2020

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Purpose: The aim of this study was to describe the age trend of trauma patients and to compare different scoring tools to predict in-hospital mortality in elderly trauma patients.Methods: National Trauma Database (NTDB) in the United States from 2005 to 2015 and the Trauma Register DGU® in German from 1994 to 2012 was searched to describe age change of trauma patients. Then we secondly analyzed the data published in http://datadryad.org/. According to the in-hospital survival status, patients were divided into survival group and non-survival group. Receiver Operating Characteristic Curve (ROC) analysis was used to evaluated the value of ISS (injury severity score); NISS (new injury severity score), APACHE Ⅱ (Acute Physiology and Chronic Health Evaluation Ⅱ), SPAS Ⅱ (simplified acute physiology score Ⅱ) and TRISS (Trauma and Injury Severity Score) in predicting in-hospital mortality among geriatric trauma patients.Results:The analysis of NTDB showed the percentage of geriatric trauma has increased from 0.18 to 0.30, 2005-2015. The analysis of DGU showed the mean age rose from 39.11 in 1993 to 51.10 in 2013, and the percentage of patients aged ≥60 rose from 16.5% to 37.5%. A total of 311 patients aged more than 65 years were secondly analyzed. One hundred and sixty-four (52.73%) patients died in the hospital. ISS, NISS, APACHE, and SAPS in the death group were significantly higher than those in the survival group, but TRISS in the death group was significantly lower than those in the survival group. The AUC of APACHE Ⅱ was 0.715, ISS was 0.807, NISS was 0.850, SPAS Ⅱ was 0.725, and TRISS was 0.828.Conclusion:The increasing number of trauma in the elderly is a challenge for current and future trauma management. Compared with APACHE and SAPS, ISS, NISS and TRISS are more suitable for predicting in-hospital mortality in elderly trauma patients.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Change in Age Distribution of the Injuries and Comparison of Different Scoring Tools in Predicting Mortality Among Geriatric Trauma Patients

Jiang¹,

Zheng²,

Zhang³

2020

Preprint

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“…However, the objective evidence of increase of geriatric trauma is limited. Prognosis assessment is important for treatment decisions in case of geriatric trauma [12][13][14]. A number of injuries severity measures are developed to predict mortality in trauma patients [15], but few are validated in the geriatric trauma population.…”

Section: Introductionmentioning

confidence: 99%

Change in age distribution of the injuries and comparison of different scoring tools in predicting mortality among geriatric trauma patients

Jiang

Zheng

Zhang

2020

Preprint

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Purpose: The aim of this study was to describe the age change tendency of trauma patients and to test the accuracy of different scoring tools in prediction of in-hospital mortality in case of geriatric trauma.Methods: Annual reports released by the National Trauma Database (NTDB) in the United States from 2005 to 2015 and the Trauma Register DGU® in German from 1994 to 2012 were used to describe the age change tendency of trauma patients. Secondary analysis of a single-center cohort study conducted among 311 severely injured geriatric trauma patients in a level Ⅰ trauma center in Switzerland was completed. According to the in-hospital survival status, patients were divided into survival group and non-survival group. Receiver Operating Characteristic Curve (ROC) analysis was used to evaluated the predictive performance of the ISS (injury severity score); NISS (new injury severity score), APACHE Ⅱ (Acute Physiology and Chronic Health Evaluation Ⅱ), SPAS Ⅱ (simplified acute physiology score Ⅱ) and TRISS (Trauma and Injury Severity Score) in prediction of in-hospital mortality among geriatric trauma patients. Results: The analysis of the NTDB showed the proportion of geriatric trauma increased from 18% to 30% from 2005 to 2015. The analysis of the DGU® showed the mean age of trauma patients rose from 39.11 in 1993 to 51.10 in 2013, and the proportion of patients aged ≥60 rose from 16.5% to 37.5%. The secondary analysis indicated one hundred and sixty-four (52.73%) patients died in the hospital. The ISS, NISS, APACHE Ⅱ, and SAPS Ⅱ in the death group were significantly higher than those in the survival group, and the TRISS in the death group was significantly lower than those in the survival group. The AUC of the ISS, NISS, TRISS, APACHE Ⅱ, and SAPS Ⅱ was 0.807, 0.850, 0.828, 0.715 and 0.725, respectively.Conclusion: The total number of geriatric trauma is increasing as the population ages. The accuracy of ISS, NISS and TRISS was higher than the accuracy of the APACHE Ⅱ and SAPS Ⅱ to predict in-hospital mortality in case of geriatric trauma.

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Dynamic vital signs may predict in-hospital mortality in elderly trauma patients

et al. 2020

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Predicting Survival in Geriatric Trauma Patients: A Comparison Between the TRISS Methodology and the Geriatric Trauma Outcome Score

Cited by 11 publications

References 20 publications

Change in Age Distribution of the Injuries and Comparison of Different Scoring Tools in Predicting Mortality Among Geriatric Trauma Patients

Change in Age Distribution of the Injuries and Comparison of Different Scoring Tools in Predicting Mortality Among Geriatric Trauma Patients

Change in age distribution of the injuries and comparison of different scoring tools in predicting mortality among geriatric trauma patients

Dynamic vital signs may predict in-hospital mortality in elderly trauma patients

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