Supatanakij Praphaphorn, Imok Kanruethai, Suttapanit Karn
Department of Emergency Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 270 Rama VI Rd., Ratchathewi, Bangkok, 10400, Thailand.
Int J Emerg Med. 2023 Sep 26;16(1):60. doi: 10.1186/s12245-023-00538-5.
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).
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.
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) < 100 mmHg, and altered mentation were independent risk factors of 28-day mortality. We developed new screening tools named the S-TRIAGE score, which has the respiratory rate (< 11, > 22 breaths/min), the ratio of pulse oximetric saturation to the fraction of inspired oxygen (< 420, 420-450), SI (> 1, 0.6-0.99), SBP < 100 mmHg, body temperature (< 36, > 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.
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.
体弱和重病高风险的老年人数量持续增加。此外,生理变化和多种合并症在老年医学中进行分诊具有挑战性。因此,我们旨在评估预测28天死亡率的变量,并开发一种筛查工具,以预测急诊科老年患者的死亡率和挽救生命的干预措施。
本研究是在曼谷拉玛提博迪医院急诊科进行的一项回顾性、单中心观察性研究。纳入2018年1月至2019年12月期间就诊于急诊科的年龄≥65岁的患者。在开发队列中,采用单变量逻辑回归来确定老年患者28天死亡率的预测因素。通过多变量逻辑回归建立死亡率和挽救生命干预需求的预测模型。此外,通过内部验证对该评分进行验证,并通过卡方检验在开发集和验证集之间进行比较。
我们纳入了1393例患者。在开发队列的这1002例患者中,103例(10.3%)在28天内死亡。恶性肿瘤、休克指数(SI)、收缩压(SBP)<100 mmHg和精神状态改变是28天死亡率的独立危险因素。我们开发了一种名为S-TRIAGE评分的新筛查工具,其包括呼吸频率(<11次、>22次/分钟)、脉搏血氧饱和度与吸入氧分数之比(<420、420 - 450)、SI(>1、0.6 - 0.99)、SBP<100 mmHg、体温(<36℃、>37.5℃)和精神变化。在验证队列中,S-TRIAGE评分的受试者工作特征(ROC)曲线下面积在预测死亡率和挽救生命干预方面为0.826 [95%置信区间(95%CI)0.773 - 0.879],并且该临床评分将患者分为五组。
本研究表明,恶性肿瘤、低血压、SI升高和精神状态改变是急诊科老年患者28天死亡率的预测因素。本研究中使用的老年医学筛查工具风险评分可能是急诊科高风险老年患者死亡率和挽救生命干预的良好预测指标。