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4C 和 SEIMC 评分系统在预测急诊科从发病到当前 COVID-19 大流行期间死亡率的表现。

Performance of the 4C and SEIMC scoring systems in predicting mortality from onset to current COVID-19 pandemic in emergency departments.

机构信息

Emergency Department, Hospital Clínico Universitario de Valladolid, Avenida de Ramón y Cajal, 3, 47003, Valladolid, Spain.

Faculty of Medicine, University of Valladolid, Valladolid, Spain.

出版信息

Sci Rep. 2024 Oct 3;14(1):23009. doi: 10.1038/s41598-024-73664-6.

DOI:10.1038/s41598-024-73664-6
PMID:39362962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11450147/
Abstract

The evolution of the COVID-19 pandemic has been associated with variations in clinical presentation and severity. Similarly, prediction scores may suffer changes in their diagnostic accuracy. The aim of this study was to test the 30-day mortality predictive validity of the 4C and SEIMC scores during the sixth wave of the pandemic and to compare them with those of validation studies. This was a longitudinal retrospective observational study. COVID-19 patients who were admitted to the Emergency Department of a Spanish hospital from December 15, 2021, to January 31, 2022, were selected. A side-by-side comparison with the pivotal validation studies was subsequently performed. The main measures were 30-day mortality and the 4C and SEIMC scores. A total of 27,614 patients were considered in the study, including 22,361 from the 4C, 4,627 from the SEIMC and 626 from our hospital. The 30-day mortality rate was significantly lower than that reported in the validation studies. The AUCs were 0.931 (95% CI: 0.90-0.95) for 4C and 0.903 (95% CI: 086-0.93) for SEIMC, which were significantly greater than those obtained in the first wave. Despite the changes that have occurred during the coronavirus disease 2019 (COVID-19) pandemic, with a reduction in lethality, scorecard systems are currently still useful tools for detecting patients with poor disease risk, with better prognostic capacity.

摘要

COVID-19 大流行的演变与临床表现和严重程度的变化有关。同样,预测评分的诊断准确性也可能发生变化。本研究旨在检验第六波大流行期间 4C 和 SEIMC 评分对 30 天死亡率的预测有效性,并与验证研究进行比较。这是一项纵向回顾性观察研究。从 2021 年 12 月 15 日至 2022 年 1 月 31 日,选择了在西班牙一家医院急诊科住院的 COVID-19 患者。随后与关键验证研究进行了并排比较。主要措施是 30 天死亡率和 4C 和 SEIMC 评分。共有 27614 名患者纳入研究,其中 22361 名来自 4C,4627 名来自 SEIMC,626 名来自我们医院。30 天死亡率明显低于验证研究报告的死亡率。4C 的 AUC 为 0.931(95%CI:0.90-0.95),SEIMC 的 AUC 为 0.903(95%CI:0.86-0.93),均明显高于第一波获得的 AUC。尽管在 2019 年冠状病毒病(COVID-19)大流行期间发生了变化,致死率有所降低,但评分卡系统目前仍然是检测疾病风险较差患者的有用工具,具有更好的预后能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e263/11450147/6c23d88a307b/41598_2024_73664_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e263/11450147/8a81ede60828/41598_2024_73664_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e263/11450147/8fd227ee553b/41598_2024_73664_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e263/11450147/6c23d88a307b/41598_2024_73664_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e263/11450147/8a81ede60828/41598_2024_73664_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e263/11450147/e518cfe41a25/41598_2024_73664_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e263/11450147/68e5244e81d0/41598_2024_73664_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e263/11450147/8fd227ee553b/41598_2024_73664_Fig4_HTML.jpg
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