International Journal of Emergency Medicine (Sep 2023)
Screening Tool Risk Score Assessment in the Emergency Department for Geriatric (S-TRIAGE) in 28-day mortality
Abstract
Abstract Background The number of older adults with a high risk of frailty and severe illness continues to increase. Moreover, physiological change and multiple comorbidities are challenging to triage in geriatrics. Therefore, we aimed to evaluate variables to predict 28-day mortality and develop a screening tool to predict mortality and lifesaving intervention among geriatric patients in the emergency department (ED). Methods This study was a retrospective, single-center, observational study at the ED of Ramathibodi Hospital, Bangkok. Patients aged ≥ 65 years who visited the ED between January 2018 and December 2019 were enrolled. In the development cohort, univariable logistic regression was used to identify predictors of 28-day mortality in older patients. A predictive model for mortality and the need for lifesaving intervention was developed by multivariable logistic regression. In addition, the score was validated with internal validation and compared between development and validation set by chi-square. Results We enrolled 1393 patients. In the development cohort, among these 1002 patients, 103 (10.3%) of whom died within 28 days. Malignancy, shock index (SI), systolic blood pressure (SBP) 22 breaths/min), the ratio of pulse oximetric saturation to the fraction of inspired oxygen ( 1, 0.6–0.99), SBP 37.5 °C), and mental change. The area under a receiver operating characteristic (ROC) curve of the S-TRIAGE score in the validation cohort was 0.826 [95% confidence interval (95%CI) 0.773–0.879] in predicting mortality and lifesaving intervention, and the clinical score classified patients into five groups. Conclusion This study showed malignancy, hypotension, increased SI, and mental status change were predictive factors for 28-day mortality in older adults in the ED. The screening tool risk score for geriatrics used in this study is potentially a good predictor of mortality and lifesaving intervention in high-risk older patients in the ED.
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