Validation of the Glasgow Admission Prediction Score in a Japanese Emergency Setting

IF 1.4 Q2 MEDICINE, GENERAL & INTERNAL
Shigeto Horiuchi, Haruka Kamagata, Koichiro Nakano, Naoki Sawamura, Shunsaku Kohriki
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Abstract

Introduction

The Glasgow Admission Prediction Score (GAPS) is a triage tool that was developed in the United Kingdom to predict hospital admission based on available patient data upon arrival at emergency departments (EDs). Despite being associated with length of hospital stay, 6-month mortality, and readmission, its validity has only been assessed in the UK. Its generalizability therefore remains unclear. This study aimed to assess the predictive performance of the GAPS for short- and intermediate-term outcomes in a Japanese ED setting.

Methods

We conducted a retrospective cohort study of ambulance-transported ED visits between December 2020 and September 2023 at a Japanese general hospital. After excluding pediatric patients and those with missing or inconsistent data, 22,179 encounters were analyzed. GAPS scores were calculated upon ED arrival and stratified into tertiles. The outcomes included 30-day mortality, 30-day emergency re-transportation, 100-day hospital readmission, and length of inpatient stay. Kaplan–Meier and Cox proportional hazards analyses were performed.

Results

Higher GAPS scores were significantly associated with less favorable outcomes. Each 1-point increase was linked to a 10.3% increase in 30-day mortality risk (hazard ratio [HR] = 1.10; 95% confidence interval: 1.10–1.11), or a four-fold increase per 15-point rise (HR = 4.32). Similar associations were observed for re-transportation (HR = 1.03) and hospital readmission (HR = 1.09). Higher GAPS scores were also associated with longer hospital stays (HR for discharge = 0.98).

Conclusion

GAPS presents a practical tool for predicting ambulance-transported ED encounter outcomes in Japan, although its broader applicability warrants further research.

Abstract Image

日本急诊环境中格拉斯哥入院预测评分的验证
格拉斯哥住院预测评分(GAPS)是英国开发的一种分诊工具,用于根据到达急诊科(EDs)的可用患者数据预测住院情况。尽管与住院时间、6个月死亡率和再入院有关,但其有效性仅在英国进行了评估。因此,其普遍性仍不清楚。本研究旨在评估GAPS对日本ED短期和中期预后的预测性能。方法:我们对日本一家综合医院2020年12月至2023年9月救护车运送的急诊科就诊进行了回顾性队列研究。在排除儿科患者和数据缺失或不一致的患者后,分析了22179次就诊。在ED到达时计算GAPS评分,并将其分层。结果包括30天死亡率、30天紧急再转运、100天再入院和住院时间。Kaplan-Meier和Cox比例风险分析。结果较高的GAPS评分与较差的预后显著相关。每增加1点,30天死亡风险增加10.3%(风险比[HR] = 1.10; 95%可信区间:1.10 - 1.11),或每增加15点,死亡率增加4倍(HR = 4.32)。再转运(HR = 1.03)和再入院(HR = 1.09)也有类似的关联。gap得分越高,住院时间越长(出院HR = 0.98)。结论GAPS是预测日本救护车运送的急诊结果的实用工具,但其更广泛的适用性有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acute Medicine & Surgery
Acute Medicine & Surgery MEDICINE, GENERAL & INTERNAL-
自引率
12.50%
发文量
87
审稿时长
53 weeks
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