Rose Jutta, Suter Flurina, Furrer Eva, Sendoel Ataman, Stüssi-Helbling Melina, Huber Lars C
Department of Internal Medicine, Clinic for Internal Medicine, City Hospital Zurich Triemli, 8063 Zurich, Switzerland.
Faculty of Medicine, University of Zurich (UZH), 8006 Zurich, Switzerland.
Diagnostics (Basel). 2022 Apr 28;12(5):1109. doi: 10.3390/diagnostics12051109.
Among people infected with SARS-CoV-2, the determination of clinical features associated with poor outcome is essential to identify those at high risk of deterioration. Here, we aimed to investigate clinical phenotypes of patients hospitalized due to COVID-19 and to examine the predictive value of the neutrophil-to-lymphocyte ratio (NLR) in a representative patient collective of the Swiss population. We conducted a retrospective monocentriccohort study with patients hospitalized due to COVID-19 between 27 February and 31 December 2020. Data were analyzed descriptively, using the binary logistic regression model, proportional odds logistic regression model, competing risk analysis, and summary measure analysis. A total of 454 patients were included in our study. Dyspnea, elevated respiratory rate, low oxygen saturation at baseline, age, and presence of multiple comorbidities were associated with a more severe course of the disease. A high NLR at baseline was significantly associated with disease severity, unfavorable outcome, and mortality. In non-survivors, NLR further increased during hospital stay, whereas in survivors, NLR decreased. In conclusion, our data emphasize the importance of accurate history taking and clinical examination upon admission and confirm the role of baseline NLR as a surrogate marker for increased disease severity, unfavorable outcome, and mortality in patients hospitalized due to infection with SARS-CoV-2.
在感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的人群中,确定与不良预后相关的临床特征对于识别病情恶化风险高的患者至关重要。在此,我们旨在研究因2019冠状病毒病(COVID-19)住院患者的临床表型,并在瑞士人群的一个具有代表性的患者群体中检验中性粒细胞与淋巴细胞比值(NLR)的预测价值。我们对2020年2月27日至12月31日期间因COVID-19住院的患者进行了一项回顾性单中心队列研究。使用二元逻辑回归模型、比例优势逻辑回归模型、竞争风险分析和汇总测量分析对数据进行描述性分析。我们的研究共纳入了454例患者。呼吸困难、呼吸频率升高、基线时低氧饱和度、年龄以及多种合并症的存在与疾病的更严重病程相关。基线时高NLR与疾病严重程度、不良预后和死亡率显著相关。在非幸存者中,NLR在住院期间进一步升高,而在幸存者中,NLR下降。总之,我们的数据强调了入院时准确采集病史和进行临床检查的重要性,并证实了基线NLR作为SARS-CoV-2感染住院患者疾病严重程度增加、不良预后和死亡率升高的替代标志物的作用。