重新评估急诊科 COVID-19 患者的预后和严重程度指标。

Annals of medicine Pub Date : 2024-12-01 Epub Date: 2024-10-22 DOI:10.1080/07853890.2024.2417178
Yi-Jie Zhang, Xiao-Yan Liu, Wan-Xin Xu, Ya-Peng Yang
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引用次数: 0

摘要

目的:本研究旨在重新评估中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR)评分系统是否能有效预测急诊科(ED)COVID-19患者的预后和严重程度:这项回顾性研究将COVID-19患者分为死亡组(DEA)和存活组(SUR)、重症/危重组(SC)和非重症/危重组(non-SC)。研究人员计算了急性生理学和慢性健康评估(APACHE)II、序贯器官衰竭评估(SOFA)、国家预警评分(NEWS)和 CCEDRRN COVID-19 死亡率评分。从第一次血常规检查中提取中性粒细胞、淋巴细胞和血小板计数,并相应计算 NLR 和 PLR。结果表明,所有评分系统以及淋巴细胞和血小板计数均与死亡率相关:所有评分系统以及 NLR 和 PLR 在 DEA 组和 SC 组均显著增加。ROC 曲线显示,CCEDRRN COVID-19 死亡率评分对死亡率和严重程度的预测价值最高(AUC 分别为 0.779 和 0.850),优于 APACHE II、SOFA 和 NEWS。NLR 对严重程度的预测能力(AUC 0.741)优于死亡预测能力(AUC 0.702)。APACHE II、NEWS 和 CCEDRRN COVID-19 死亡率评分与预后和严重程度均呈正相关,而 NLR 仅与严重程度呈正相关:结论:NEWS和CCEDRRN COVID-19死亡率评分被再次证实可早期快速预测急诊室COVID-19患者的不良预后和严重程度,尤其是CCEDRRN COVID-19死亡率评分的辨别能力最强,而NLR更适合预测严重程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reevaluation of prognostic and severity indicators for COVID-19 patients in the emergency department.

Aims: This study aimed to re-evaluate whether the scoring systems, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were effective in predicting prognosis and severity of COVID-19 patients in the emergency department (ED).

Methods: COVID-19 patients enrolled in this retrospective study divided into the death (DEA) and survival (SUR) groups, the severe/critical (SC) and non-severe/critical (non-SC) groups. The Acute Physiology and Chronic Health Evaluation (APACHE) II, Sequential Organ Failure Assessment (SOFA), National Early Warning Score (NEWS) and CCEDRRN COVID-19 Mortality Score were calculated. The neutrophil, lymphocyte and platelet counts were extracted from the first routine blood examination, and NLR and PLR were calculated accordingly. Receiver Operating Characteristic (ROC) curve and logistic regression were performed.

Results: All the scoring systems, as well as NLR and PLR, significantly increased in both the DEA and SC groups. The ROC curve showed that the CCEDRRN COVID-19 Mortality Score had the highest predictive value for mortality and severity (AUC 0.779, 0.850, respectively), which outperformed the APACHE II, SOFA and NEWS. NLR presented better predictive ability for severity (AUC 0.741) than death (AUC 0.702). The APACHE II, NEWS and CCEDRRN COVID-19 Mortality Score were positively correlated with both prognosis and severity, whereas NLR only with severity.

Conclusion: The NEWS and CCEDRRN COVID-19 Mortality Score were reconfirmed for early and rapid predicting the poor prognosis and severity of COVID-19 patients in ED, especially the CCEDRRN COVID-19 Mortality Score with the highest discrimination capacity, and NLR was more appropriate for predicting the severity.

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