Department of Respiratory and Critical Care Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, People's Republic of China.
Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, People's Republic of China.
Ann Med. 2024 Dec;56(1):2415401. doi: 10.1080/07853890.2024.2415401. Epub 2024 Oct 24.
Since the outbreak of coronavirus disease 2019 (COVID-19), studies have found correlations between blood cell count-derived inflammatory markers (BCDIMs) and disease severity and prognosis in COVID-19 patients. However, there is currently a lack of systematic comparisons between procalcitonin (PCT), C-reactive protein (CRP), C-reactive protein-to-albumin ratio (CAR) and BCDIMs for assessing the severity and prognosis of COVID-19 patients.
A total of 1040 COVID-19 patients were included in the study. Demographics, comorbidities and laboratory results were analysed. BCDIMs refer to the following ratios: neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-C-reactive protein ratio (LCR), systemic inflammation response index (SIRI) and systemic inflammation index (SII). Disease severity and 28-day mortality are clinical outcomes of this study. Area under the curve (AUC) of receiver operating characteristic (ROC) curve was calculated for these markers, and DeLong's test compared their statistical differences. Cox regression analysis assessed their predictive value for the 28-day mortality rate.
Among the 1040 patients, 35.3% were severe/critical, 49.6% were moderate and 15.1% were mild cases. Within 28 days, 15.1% died. The NLR had the highest predictive value for disease severity (AUC: 0.790, 95% CI: 0.762-0.818). NLR differed significantly from other markers, except LCR. LCR best predicted 28-day mortality (AUC: 0.798, 95% CI: 0.766-0.829). Some markers showed significant differences in AUC with LCR. Multivariable Cox regression identified BCDIMs, PCT, CRP and CAR as significant risk factors for 28-day mortality.
PCT, CRP, CAR and BCDIMs, easily obtained in clinical settings, are valuable predictors of disease severity and the 28-day mortality in COVID-19 patients. The NLR is particularly effective for disease severity, while the LCR is highly predictive of 28-day mortality. These markers provide guidance for stratified management of COVID-19 patients.
自 2019 年冠状病毒病(COVID-19)爆发以来,已有研究发现血细胞计数衍生的炎症标志物(BCDIMs)与 COVID-19 患者的疾病严重程度和预后之间存在相关性。然而,目前缺乏降钙素原(PCT)、C 反应蛋白(CRP)、C 反应蛋白与白蛋白比值(CAR)和 BCDIMs 之间用于评估 COVID-19 患者严重程度和预后的系统比较。
本研究共纳入 1040 例 COVID-19 患者。分析了患者的人口统计学、合并症和实验室结果。BCDIMs 是指以下比值:中性粒细胞与淋巴细胞比值(NLR)、单核细胞与淋巴细胞比值(MLR)、血小板与淋巴细胞比值(PLR)、淋巴细胞与 C 反应蛋白比值(LCR)、全身炎症反应指数(SIRI)和全身炎症指数(SII)。疾病严重程度和 28 天死亡率是本研究的临床结局。计算了这些标志物的接收者操作特征(ROC)曲线下面积(AUC),并用 DeLong 检验比较了它们的统计学差异。Cox 回归分析评估了它们对 28 天死亡率的预测价值。
在 1040 例患者中,35.3%为重症/危重症,49.6%为中度,15.1%为轻症。在 28 天内,有 15.1%的患者死亡。NLR 对疾病严重程度具有最高的预测价值(AUC:0.790,95%CI:0.762-0.818)。NLR 与其他标志物有显著差异,除 LCR 外。LCR 对 28 天死亡率的预测最佳(AUC:0.798,95%CI:0.766-0.829)。一些标志物与 LCR 的 AUC 差异有统计学意义。多变量 Cox 回归分析确定 BCDIMs、PCT、CRP 和 CAR 是 COVID-19 患者 28 天死亡率的显著危险因素。
PCT、CRP、CAR 和 BCDIMs 是临床中易于获得的指标,是 COVID-19 患者疾病严重程度和 28 天死亡率的有价值的预测指标。NLR 对疾病严重程度特别有效,而 LCR 对 28 天死亡率具有高度预测性。这些标志物为 COVID-19 患者的分层管理提供了指导。