Prognostic accuracy of eight triage scores in suspected COVID-19 in an Emergency Department low-income setting: An observational cohort study

IF 1.4 4区 医学 Q3 EMERGENCY MEDICINE African Journal of Emergency Medicine Pub Date : 2024-01-26 DOI:10.1016/j.afjem.2023.12.004
Carl Marincowitz , Madina Hasan , Yasein Omer , Peter Hodkinson , David McAlpine , Steve Goodacre , Peter A. Bath , Gordon Fuller , Laura Sbaffi , Lee Wallis
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Abstract

Introduction

Previous studies deriving and validating triage scores for patients with suspected COVID-19 in Emergency Department settings have been conducted in high- or middle-income settings. We assessed eight triage scores’ accuracy for death or organ support in patients with suspected COVID-19 in Sudan.

Methods

We conducted an observational cohort study using Covid-19 registry data from eight emergency unit isolation centres in Khartoum State, Sudan. We assessed performance of eight triage scores including: PRIEST, LMIC-PRIEST, NEWS2, TEWS, the WHO algorithm, CRB-65, Quick COVID-19 Severity Index and PMEWS in suspected COVID-19. A composite primary outcome included death, ventilation or ICU admission.

Results

In total 874 (33.84 %, 95 % CI:32.04 % to 35.69 %) of 2,583 patients died, required intubation/non-invasive ventilation or HDU/ICU admission . All risk-stratification scores assessed had worse estimated discrimination in this setting, compared to studies conducted in higher-income settings: C-statistic range for primary outcome: 0.56–0.64. At previously recommended thresholds NEWS2, PRIEST and LMIC-PRIEST had high estimated sensitivities (≥0.95) for the primary outcome. However, the high baseline risk meant that low-risk patients identified at these thresholds still had a between 8 % and 17 % risk of death, ventilation or ICU admission.

Conclusion

None of the triage scores assessed demonstrated sufficient accuracy to be used clinically. This is likely due to differences in the health care system and population (23 % of patients died) compared to higher-income settings in which the scores were developed. Risk-stratification scores developed in this setting are needed to provide the necessary accuracy to aid triage of patients with suspected COVID-19.

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在急诊科低收入人群中,八种分诊评分对疑似 COVID-19 的预后准确性:观察性队列研究
导言之前针对急诊科疑似 COVID-19 患者分流评分的推导和验证研究都是在高收入或中等收入地区进行的。我们利用苏丹喀土穆州八个急诊科隔离中心的 Covid-19 登记数据,开展了一项观察性队列研究。我们评估了八种分诊评分的表现,包括PRIEST、LMIC-PRIEST、NEWS2、TEWS、WHO 算法、CRB-65、COVID-19 严重程度快速指数和 PMEWS。结果在 2583 名患者中,共有 874 人(33.84%,95% CI:32.04% 至 35.69%)死亡、需要插管/无创通气或入住 HDU/ICU。与在高收入地区进行的研究相比,在这种情况下评估的所有风险分级评分的估计判别率都较低:主要结果的 C 统计量范围为 0.56-0.64:0.56-0.64.在之前推荐的阈值下,NEWS2、PRIEST 和 LMIC-PRIEST 对主要结果的估计灵敏度较高(≥0.95)。然而,高基线风险意味着在这些阈值下识别出的低风险患者仍有 8% 到 17% 的死亡、通气或入住 ICU 风险。这可能是由于医疗保健系统和人口(23% 的患者死亡)与制定这些评分的较高收入地区相比存在差异。需要在这种环境下开发风险分级评分,以提供必要的准确性,帮助对疑似 COVID-19 患者进行分流。
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来源期刊
CiteScore
2.40
自引率
7.70%
发文量
78
审稿时长
85 days
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