One hundred fifty million contagions, more than 3 million deaths and little more than 1 year of COVID-19 have changed our lives and our health management systems forever. Ageing is known to be one of the significant determinants for COVID-19 severity. Two main reasons underlie this: immunosenescence and age correlation with main COVID-19 comorbidities such as hypertension or dyslipidaemia. This study has two aims. The first is to obtain cut-off points for laboratory parameters that can help us in clinical decision-making. The second one is to analyse the effect of pandemic lockdown on epidemiological, clinical, and laboratory parameters concerning the severity of the COVID-19. For these purposes, 257 of SARSCoV2 inpatients during pandemic confinement were included in this study. Moreover, 584 case records from a previously analysed series, were compared with the present study data. Concerning the characteristics of lockdown series, mild cases accounted for 14.4, 54.1% were moderate and 31.5%, severe. There were 32.5% of home contagions, 26.3% community transmissions, 22.5% nursing home contagions, and 8.8% corresponding to frontline worker contagions regarding epidemiological features. Age > 60 and male sex are hereby confirmed as severity determinants. Equally, higher severity was significantly associated with higher IL6, CRP, ferritin, LDH, and leukocyte counts, and a lower percentage of lymphocyte, CD4 and CD8 count. Comparing this cohort with a previous 584-cases series, mild cases were less than those analysed in the first moment of the pandemic and dyslipidaemia became more frequent than before. IL-6, CRP and LDH values above 69 pg/mL, 97 mg/L and 328 U/L respectively, as well as a CD4 T-cell count below 535 cells/μL, were the best cut-offs predicting severity since these parameters offered reliable areas under the curve. Age and sex together with selected laboratory parameters on admission can help us predict COVID-19 severity and, therefore, make clinical and resource management decisions. Demographic features associated with lockdown might affect the homogeneity of the data and the robustness of the results.

中文翻译：

---

在COVID-19风暴眼中的时代再次来临：基于证据的决策

一亿五千万种传染病，三百万多人死亡和仅仅一年多的COVID-19改变了我们的生活和我们的健康管理系统。已知老化是COVID-19严重性的重要决定因素之一。这是两个主要原因：免疫衰老和年龄与主要COVID-19合并症（例如高血压或血脂异常）的相关性。这项研究有两个目的。首先是获取可以帮助我们进行临床决策的实验室参数的临界点。第二个是分析大流行封锁对涉及COVID-19严重程度的流行病学，临床和实验室参数的影响。出于这些目的，本研究纳入了257名大流行限制期间的SARSCoV2住院患者。此外，以前分析过的系列有584个案例记录，与本研究数据进行了比较。就锁定系列的特点而言，轻度病例占14.4％，中度病例占54.1％，重度病例占31.5％。在流行病学特征方面，有32.5％的家庭传染，26.3％的社区传播，22.5％的疗养院传染以及8.8％对应于一线工人的传染。在此确定年龄> 60岁和男性为严重程度的决定因素。同样，较高的严重程度与较高的IL6，CRP，铁蛋白，LDH和白细胞计数，以及较低的淋巴细胞，CD4和CD8计数百分比显着相关。将该队列与以前的584例病例进行比较，轻度病例比大流行一开始时分析的病例少，而血脂异常的发生率比以前高。IL-6，CRP和LDH值分别高于69 pg / mL，97 mg / L和328 U / L，以及低于535个细胞/μL的CD4 T细胞计数是预测严重程度的最佳临界值，因为这些参数提供了曲线下的可靠区域。年龄和性别以及入院时所选的实验室参数可以帮助我们预测COVID-19的严重程度，因此可以制定临床和资源管理决策。与锁定相关的人口统计特征可能会影响数据的均匀性和结果的稳定性。