Simon Maxence, Le Borgne Pierrick, Lefevbre François, Chabrier Sylvie, Cipolat Lauriane, Remillon Aline, Baicry Florent, Bilbault Pascal, Lavoignet Charles-Eric, Abensur Vuillaume Laure
Emergency Department, University Hospital of Strasbourg, 67000 Strasbourg, France.
Regenerative NanoMedicine (RNM), Fédération de Médecine Translationnelle (FMTS), INSERM (French National Institute of Health and Medical Research), UMR 1260, Strasbourg University, 67000 Strasbourg, France.
J Clin Med. 2022 Mar 24;11(7):1803. doi: 10.3390/jcm11071803.
(1) Introduction: Multiple studies have demonstrated that lymphocyte count monitoring is a valuable prognostic tool for clinicians during inflammation. The aim of our study was to determine the prognostic value of delta lymphocyte H24 from admission from the emergency department for mortality and severity of SARS-CoV-2 infection. (2) Methods: We have made a retrospective and multicentric study in six major hospitals of northeastern France. The patients were hospitalized and had a confirmed diagnosis of SARS-CoV-2 infection. (3): Results: A total of 1035 patients were included in this study. Factors associated with infection severity were CRP > 100 mg/L (OR: 2.51, CI 95%: (1.40−3.71), p < 0.001) and lymphopenia < 800/mm3 (OR: 2.15, CI 95%: (1.42−3.27), p < 0.001). In multivariate analysis, delta lymphocytes H24 (i.e., the difference between lymphocytes values at H24 and upon admission to the ED) < 135 was one of the most significant biochemical factors associated with mortality (OR: 2.23, CI 95%: (1.23−4.05), p = 0.009). The most accurate threshold for delta lymphocytes H24 was 75 to predict severity and 135 for mortality. (4) Conclusion: Delta lymphocytes H24 could be a helpful early screening prognostic biomarker to predict severity and mortality associated with COVID-19.
(1) 引言:多项研究表明,淋巴细胞计数监测对于临床医生在炎症期间是一种有价值的预后工具。我们研究的目的是确定从急诊科入院时淋巴细胞变化值H24对新冠病毒感染的死亡率和严重程度的预后价值。(2) 方法:我们在法国东北部的六家主要医院进行了一项回顾性多中心研究。患者均住院且确诊感染新冠病毒。(3) 结果:本研究共纳入1035例患者。与感染严重程度相关的因素为CRP>100mg/L(比值比:2.51,95%置信区间:(1.40−3.71),p<0.001)和淋巴细胞减少<800/mm3(比值比:2.15,95%置信区间:(1.42−3.27),p<0.001)。在多变量分析中,淋巴细胞变化值H24(即H24时与急诊科入院时淋巴细胞值的差值)<135是与死亡率相关的最显著生化因素之一(比值比:2.23,95%置信区间:(1.23−4.05),p = 0.009)。淋巴细胞变化值H24预测严重程度的最准确阈值为75,预测死亡率的阈值为135。(4) 结论:淋巴细胞变化值H24可能是一种有用的早期筛查预后生物标志物,可用于预测与新冠肺炎相关的严重程度和死亡率。