qSOFA对急诊确诊COVID-19患者的预测性能

IF 1.4 Q2 MEDICINE, GENERAL & INTERNAL Tzu Chi Medical Journal Pub Date : 2023-04-01 DOI:10.4103/tcmj.tcmj_132_22
Farhad Heydari, Saeed Abbasi, Kiana Shirani, Majid Zamani, Babak Masoumi, Saeed Majidinejad, Mohammad Nasr-Esfahani, Mahsa Sadeghi-Aliabadi, Mohammadreza Arbab
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引用次数: 0

摘要

目的:快速、简便地识别2019冠状病毒病(COVID-19)重症甚至危重患者至关重要。因此,本研究旨在确定快速顺序器官衰竭评估(qSOFA)评分在预测COVID-19患者严重程度和死亡率方面的准确性。材料和方法:本研究是一项前瞻性观察性研究,纳入2021年6月22日至2021年11月21日在急诊科(ED)住院的COVID-19患者。急诊医师收集了参与者的临床特征。评估qSOFA、全身炎症反应综合征标准(SIRS)、肺炎严重程度指数(PSI)、意识模糊、尿素、呼吸频率、血压、65岁及以上(CURB-65)评分与14天死亡率的相关性。计算受试者工作特征(AUROC)曲线下面积分析,比较qSOFA、SIRS、PSI和CURB-65预测严重疾病的有效性。结果:共纳入894名受试者。其中721例(80.6%)患者在入院14天后存活。平均年龄58.92±17.80岁,男性551例,占61.6%。与存活患者相比,未存活患者的年龄明显增加(51.09±23.60比38.10±18.24,P = 0.004),合并症(糖尿病、呼吸、心脑血管疾病)较多。对于COVID-19死亡率预测,qSOFA、CURB-65、PSI和SIRS评分的auroc分别为0.799(95%可信区间[CI 0.771-0.825])、0.829 (95% CI[0.803-0.853])、0.830 (95% CI[0.804-0.854])和0.759 (95% CI[0.730-0.787])。所有评分都是COVID-19死亡率的良好预测指标。结论:qSOFA在预测COVID-19患者死亡率方面比SIRS更成功,且与CURB-65和PSI相似。因此,qSOFA评分可以被认为是一种简单快速的识别高危患者的筛查工具。
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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Predictive performance of qSOFA in confirmed COVID-19 patients presenting to the emergency department.

Objectives: It is critical to quickly and easily identify coronavirus disease 2019 (COVID-19) patients who become severely or even critically ill. Thus, this study was conducted to determine the accuracy of the quick Sequential Organ Failure Assessment (qSOFA) score in predicting the severity and mortality of COVID-19 patients.

Materials and methods: This was a prospective observational study of COVID-19 patients admitted to the emergency department (ED) between June 22, 2021, and November 21, 2021. The clinical characteristics of the participants were collected by the emergency physicians. The correlation of the qSOFA, Systemic Inflammatory Response Syndrome criteria (SIRS), Pneumonia Severity Index (PSI), and confusion, urea, respiratory rate, blood pressure, 65 years of age and older (CURB-65) scores for 14-day mortality were evaluated. The area under a receiver operating characteristic (AUROC) curve analysis was calculated to compare the effectiveness of qSOFA, SIRS, PSI, and CURB-65 to predict severe disease.

Results: Eight hundred and ninety-four subjects were included. Of them, 721 patients (80.6%) survived after 14 days of admission. The mean age was 58.92 ± 17.80 years, and 551 subjects (61.6%) were male. Nonsurvived patients were significantly older (51.09 ± 23.60 vs. 38.10 ± 18.24, P = 0.004) and had more comorbidities (diabetes mellitus, respiratory, cardiovascular, and cerebrovascular disease) in comparison with survived patients. For COVID-19 mortality prediction, the AUROCs of qSOFA, CURB-65, PSI, and SIRS score were 0.799 (95% confidence interval [CI 0.771-0.825]), 0.829 (95% CI [0.803-0.853]), 0.830 (95% CI [0.804-0.854]), and 0.759 (95% CI [0.730-0.787]), respectively. All scores were good predictors of COVID-19 mortality.

Conclusion: The qSOFA was more successful than SIRS in predicting mortality for COVID-19 patients and was similar to CURB-65 and PSI. Therefore, the qSOFA score can be considered a simple and rapid screening tool for identifying high-risk patients.

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来源期刊
Tzu Chi Medical Journal
Tzu Chi Medical Journal MEDICINE, GENERAL & INTERNAL-
CiteScore
3.40
自引率
0.00%
发文量
44
审稿时长
13 weeks
期刊介绍: The Tzu Chi Medical Journal is the peer-reviewed publication of the Buddhist Compassion Relief Tzu Chi Foundation, and includes original research papers on clinical medicine and basic science, case reports, clinical pathological pages, and review articles.
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