Infectious and Tropical Medicine Unit, Department of Public Health and Infectious Diseases, "Policlinico Umberto I" Hospital, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy.
Department of Surgery "Pietro Valdoni", "Policlinico Umberto I" Hospital, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy.
Viruses. 2022 Mar 20;14(3):642. doi: 10.3390/v14030642.
This monocentric, retrospective, two-stage observational study aimed to recognize the risk factors for a poor outcome in patients hospitalized with SARS-CoV-2 infection, and to develop and validate a risk score that identifies subjects at risk of worsening, death, or both. The data of patients with SARS-CoV-2 infection during the first wave of the pandemic were collected and analyzed as a derivation cohort. Variables with predictive properties were used to construct a prognostic score, which was tried out on a validation cohort enrolled during the second wave. The derivation cohort included 494 patients; the median age was 62 and the overall fatality rate was 22.3%. In a multivariable analysis, age, oxygen saturation, neutrophil-to-lymphocyte ratio, C-reactive protein and lactate dehydrogenase were independent predictors of death and composed the score. A cutoff value of 3 demonstrated a sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV) of 93.5%, 68.5%, 47.4% and 97.2% for death, and 84.9%, 84.5%, 79.6% and 87.9% for worsening, respectively. The validation cohort included 415 subjects. The score application showed a Se, Sp, PPV and NPV of 93.4%, 61.6%, 29.5% and 98.1% for death, and 81%, 76.3%, 72.1% and 84.1% for worsening, respectively. We propose a new clinical, easy and reliable score to predict the outcome in hospitalized SARS-CoV-2 patients.
这项单中心、回顾性、两阶段观察性研究旨在确定因 SARS-CoV-2 感染住院患者不良结局的危险因素,并制定和验证一种风险评分,以识别病情恶化、死亡或两者皆有的风险患者。我们收集和分析了大流行第一波期间 SARS-CoV-2 感染患者的数据,作为推导队列。使用具有预测特性的变量来构建预后评分,并在第二波期间招募的验证队列中进行验证。推导队列包括 494 名患者;中位年龄为 62 岁,总病死率为 22.3%。在多变量分析中,年龄、氧饱和度、中性粒细胞与淋巴细胞比值、C 反应蛋白和乳酸脱氢酶是死亡的独立预测因素,构成了评分。截断值为 3 时,死亡的灵敏度(Se)、特异性(Sp)、阳性预测值(PPV)和阴性预测值(NPV)分别为 93.5%、68.5%、47.4%和 97.2%,病情恶化的 Se、Sp、PPV 和 NPV 分别为 84.9%、84.5%、79.6%和 87.9%。验证队列包括 415 名患者。评分应用显示,死亡的 Se、Sp、PPV 和 NPV 分别为 93.4%、61.6%、29.5%和 98.1%,病情恶化的 Se、Sp、PPV 和 NPV 分别为 81%、76.3%、72.1%和 84.1%。我们提出了一种新的临床、简便、可靠的评分方法,用于预测因 SARS-CoV-2 感染住院患者的结局。