背景:2019年冠状病毒病(COVID-19)大流行继续在全球产生影响。严重急性呼吸道综合症冠状病毒(SARS-CoV-2)的行为和病毒病程仍然无法预测。我们的目的是调查与COVID-19患者延长病毒脱落相关的预测因素。
方法:这是一个回顾性研究,嵌套,病例对照研究,根据核酸转化时间(NCT)将155例确诊的COVID-19感染患者分为两组,延长组(病毒RNA脱落>14天,n=31)和非延长组(n=124)。
结果:参与者的平均年龄为57.16岁,男性占54.8%。两组的住院人数均为67.7%。两组在临床表现上无统计学差异,合并症,计算机断层扫描,严重性指数,抗病毒治疗,和疫苗接种。然而,C-反应蛋白和D-二聚体水平在延长组中显著升高(p=0.01;p=0.01)。使用条件逻辑回归分析,发现D-二聚体和细菌共感染是NCT延长的独立因素(OR:1.001,95%CI:1.000-1.001,p=0.043;OR:12.479,95%CI:2.701-57.654,p=0.001)。我们通过使用受试者工作特征曲线分析来评估条件逻辑回归模型的诊断价值。曲线下面积为0.7(95%Cl:0.574-0.802;p<0.001)。
结论:我们的研究设计包括控制混杂因素。我们显示了将预测因素与SARS-CoV-2的延长NCT相关联的明确结果。D-二聚体水平和细菌共感染被认为是NCT延长的独立预测因子。
The coronavirus disease 2019 (COVID-19) pandemic continues to have a global impact. The behavior and viral course of severe acute respiratory syndrome coronavirus (SARS-CoV-2) remains unpredictable. We aimed to investigate the prediction factors associated with
prolonged viral shedding in COVID-19 patients.
This is a retrospective, nested,
case-control study with 155 confirmed COVID-19 infected patients divided into two groups based on nucleic acid conversion time (NCT), a prolonged group (viral RNA shedding >14 days, n = 31) and a non-
prolonged group (n = 124).
The mean age of participants was 57.16 years, and 54.8% were male. Inpatient numbers were 67.7% across both groups. No statistically significant differences between the two groups were observed in terms of clinical manifestation, comorbidities, computer tomography, severity index, antiviral treatment, and vaccination. However, C-reactive protein and D-dimer levels were significantly higher in the
prolonged group (p = 0.01; p = 0.01). Using conditional logistic regression analysis, D-dimer and bacterial co-infection were found to be independent factors associated with the prolonged NCT (OR: 1.001, 95% CI: 1.000-1.001, p = 0.043; OR: 12.479, 95% CI: 2.701-57.654, p = 0.001 respectively). We evaluated the diagnostic value of the conditional logistic regression model by using receiver operating characteristic curve analysis. The area under the curve was 0.7 (95% Cl: 0.574-0.802; p < 0.001).
Our study design included controlling confounders. We showed a clear result associating predicting factors with
prolonged NCT of SARS-CoV-2. D-dimer level and bacterial co-infection were considered as independent predictors of prolonged NCT.