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Association between peripheral lymphocyte count and the mortality risk of COVID-19 inpatients

机译:外周淋巴细胞计数与Covid-19住院患者的死亡风险之间的关系

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To explore the relationship between peripheral lymphocyte counts (PLCs) and the mortality risk of coronavirus disease 2019 (COVID-19), as well as the potential of PLC for predicting COVID-19 hospitalized patients death. Baseline characteristics, laboratory tests, imaging examinations, and outcomes of 134 consecutive COVID-19 hospitalized patients were collected from a tertiary hospital in Wuhan city from January 25 to February 24, 2020. Multiple regression analysis was used to analyze the relationship between the PLC at admission and mortality risk in COVID-19 patients and to establish a model for predicting death in COVID-19 hospitalized patients based on PLC. After adjusting for potential confounding factors, we found a non-linear relationship and threshold saturation effect between PLC and mortality risk in COVID-19 patients (infection point of PLC: 0.95?×?109/L). Multiple regression analysis showed that when PLCs of COVID-19 patients were lower than 0.95?×?109/L, the patients had a significantly higher mortality risk as compared to COVID-19 patient with PLCs??0.95?×?109/L (OR 7.27; 95% CI 1.10–48.25). The predictive power of PLC for death in COVID-19 patients (presented as area under the curve) was 0.78. The decision curve analysis showed that PLC had clinical utility for the prediction of death in COVID-19 inpatients. PLC had a non-linear relationship with mortality risk in COVID-19 inpatients. Reduced PLCs (?0.95?×?109/L) were associated with an increased mortality risk in COVID-19 inpatients. PLCs also had a potential predictive value for the death of COVID-19 inpatients.
机译:探讨外周淋巴细胞计数(PLC)与冠状病毒疾病的死亡风险2019(Covid-19)的关系,以及PLC预测Covid-19住院患者死亡的潜力。从1月25日至2月24日从武汉市的一家高级医院收集了134名连续Covid-19住院患者的基线特征,实验室测试,成像检查和结果。使用多元回归分析来分析PLC之间的关系Covid-19患者的入学和死亡率风险,并建立了基于PLC的Covid-19住院患者死亡模型。在调整潜在的混淆因素之后,我们发现PLC与Covid-19患者的死亡风险之间的非线性关系和阈值饱和效果(PLC的感染点:0.95?×109 / L)。多元回归分析表明,当Covid-19患者的PLC低于0.95时,患者与PLC的Covid-19患者相比,患者的死亡率风险显着较高??& 0.95?×109 / L(或7.27; 95%CI 1.10-48.25)。 Covid-19患者中PLC用于死亡的预测力(呈现为曲线下的区域)为0.78。决策曲线分析表明,PLC在Covid-19位剂中预测死亡的临床效用。 PLC与Covid-19住院患者的死亡风险有非线性关系。降低PLC(&Δ0.95≤x≤109/ l)与Covid-19位剂的死亡率增加有关。 PLC也对Covid-19住院患者的死亡进行了潜在的预测价值。

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