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炎症生物标志物作为普通内科或 ICU 病房收治的 COVID-19 患者 28 天死亡率的独立预后因素:一项回顾性队列研究。

Inflammatory biomarkers as independent prognosticators of 28-day mortality for COVID-19 patients admitted to general medicine or ICU wards: a retrospective cohort study.

机构信息

Department of Medicine, McMaster University, Hamilton, Canada.

Waterloo regional campus, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.

出版信息

Intern Emerg Med. 2021 Sep;16(6):1573-1582. doi: 10.1007/s11739-021-02637-8. Epub 2021 Jan 26.

DOI:10.1007/s11739-021-02637-8
PMID:33496923
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7836340/
Abstract

Inflammatory biomarkers may be associated with disease severity and increased mortality in COVID-19 patients but have not been studied in North American populations. We sought to determine whether a set of commonly ordered inflammatory biomarkers can predict 28-day mortality. We analyzed a multi-centered (four) COVID-19 registry cohort from March 4th to December 7th, 2020. This cohort included COVID-19-positive patients admitted to medical wards or intensive care units. Patients presenting to the emergency department for COVID-19 symptoms and then subsequently discharged were also included. We performed Cox-regression analysis to measure whether commonly used biomarkers were associated with an increased 28-day mortality. Of 336 COVID-19-positive patients, 267 required hospital admission, and 69 were seen in the emergency room and discharged. The median age was 63 years (IQR 80-50) and the female-to-male ratio was 49:51. Derivation of internally validated cut-offs suggested that C-reactive protein ≥ 78.4 mg/L, neutrophil-to-lymphocyte ratio ≥ 6.1, lymphocyte-to-white blood cell ratio < 0.127, and a modified Glasgow prognostic score equal to 2 vs. 1 or 0 were associated with the highest increased risk of 28-day mortality. We provide early estimates of cut-off values for inflammatory biomarkers and indices measured at the time of admission that may be useful to clinicians for predicting 28-day mortality in North American COVID-19 patients.

摘要

炎症标志物可能与 COVID-19 患者的疾病严重程度和死亡率增加有关,但在北美人群中尚未进行研究。我们旨在确定一组常用的炎症标志物是否可以预测 28 天死亡率。我们分析了 2020 年 3 月 4 日至 12 月 7 日进行的一项多中心(四个地点)COVID-19 登记队列研究。该队列纳入了收入内科病房或重症监护病房的 COVID-19 阳性患者。因 COVID-19 症状就诊于急诊科并随后出院的患者也被纳入研究。我们进行 Cox 回归分析以衡量常用生物标志物是否与增加的 28 天死亡率相关。在 336 例 COVID-19 阳性患者中,267 例需要住院治疗,69 例在急诊科就诊并出院。中位年龄为 63 岁(IQR 80-50),女性与男性的比例为 49:51。内部验证切点的推导表明,C 反应蛋白≥78.4mg/L、中性粒细胞与淋巴细胞比值≥6.1、淋巴细胞与白细胞比值<0.127、改良格拉斯哥预后评分等于 2 与 1 或 0 相比,与 28 天死亡率增加的风险最高相关。我们提供了炎症标志物和入院时测量的指标的切点值的早期估计值,这些值可能对临床医生预测北美 COVID-19 患者的 28 天死亡率有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f66/7836340/f391c22dbcf8/11739_2021_2637_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f66/7836340/1d49adb418e4/11739_2021_2637_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f66/7836340/f391c22dbcf8/11739_2021_2637_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f66/7836340/1d49adb418e4/11739_2021_2637_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f66/7836340/f391c22dbcf8/11739_2021_2637_Fig2_HTML.jpg

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