Sisli Hamidiye Etfal Education and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Sisli Hamidiye Etfal Education and Research Hospital, Department of Cardiology, Istanbul, Turkey.
Am J Cardiol. 2020 Nov 15;135:143-149. doi: 10.1016/j.amjcard.2020.08.040. Epub 2020 Aug 28.
Since the modified CHA2DS2VASC (M-CHA2DS2VASc) risk score includes the prognostic risk factors for COVID-19; we assumed that it might predict in-hospital mortality and identify high-risk patients at an earlier stage compared with troponin increase and neutrophil-lymphocyte ratio (NLR). We aimed to investigate whether M-CHA2DS2VASC RS is an independent predictor of mortality in patients hospitalized with COVID-19 and to compare its discriminative ability with troponin increase and NLR in terms of predicting mortality. A total of 694 patients were retrospectively analyzed and divided into 3 groups according to M-CHA2DS2VASC RS which was simply created by changing gender criteria of the CHA2DS2VASC RS from female to male (Group 1, score 0-1 (n = 289); group 2, score 2-3 (n = 231) and group 3, score ≥4 (n = 174)). Adverse clinical events were defined as in-hospital mortality, admission to intensive care unit, need for high-flow oxygen and/or intubation. As the M-CHA2DS2VASC RS increased, adverse clinical outcomes were also significantly increased (Group 1, 3.8%; group 2, 12.6%; group 3, 20.8%; p <0.001 for in-hospital mortality). The multivariate logistic regression analysis showed that M-CHA2DS2VASC RS, troponin increase and neutrophil-lymphocyte ratio were independent predictors of in-hospital mortality (p = 0.005, odds ratio 1.29 per scale for M-CHA2DS2VASC RS). In receiver operating characteristic analysis, comparative discriminative ability of M-CHA2DS2VASC RS was superior to CHA2DS2VASC RS score. Area under the curve (AUC) values for in-hospital mortality was 0.70 and 0.64, respectively. (AUC vs. AUC z test = 3.56, p 0.0004) In conclusion, admission M-CHA2DS2VASc RS may be a useful tool to predict in-hospital mortality in patients with COVID-19.
由于改良的 CHA2DS2VASC(M-CHA2DS2VASc)风险评分包括了 COVID-19 的预后危险因素;我们假设与肌钙蛋白升高和中性粒细胞与淋巴细胞比值(NLR)相比,它可能更早地预测住院患者的院内死亡率并识别高危患者。我们旨在探讨 M-CHA2DS2VASC RS 是否为 COVID-19 住院患者死亡率的独立预测因素,并比较其在预测死亡率方面与肌钙蛋白升高和 NLR 的区分能力。总共对 694 例患者进行回顾性分析,并根据 M-CHA2DS2VASC RS 分为 3 组,该评分通过将 CHA2DS2VASC RS 中的性别标准由女性改为男性来简单创建(组 1,评分 0-1(n=289);组 2,评分 2-3(n=231);组 3,评分≥4(n=174))。不良临床事件定义为院内死亡、入住重症监护病房、需要高流量吸氧和/或插管。随着 M-CHA2DS2VASC RS 的增加,不良临床结局也显著增加(组 1,3.8%;组 2,12.6%;组 3,20.8%;p<0.001 用于院内死亡率)。多变量逻辑回归分析显示,M-CHA2DS2VASC RS、肌钙蛋白升高和中性粒细胞与淋巴细胞比值是院内死亡率的独立预测因素(p=0.005,M-CHA2DS2VASC RS 每增加 1 个刻度的优势比为 1.29)。在接受者操作特征分析中,M-CHA2DS2VASC RS 的比较判别能力优于 CHA2DS2VASC RS 评分。用于院内死亡率的曲线下面积(AUC)值分别为 0.70 和 0.64。(AUC 与 AUC z 检验=3.56,p<0.0004)总之,入院时的 M-CHA2DS2VASc RS 可能是预测 COVID-19 患者院内死亡率的有用工具。