PDF(Pubmed)
Abstract：
BACKGROUND: Identifying prognosticators/predictors of COVID-19 severity is the principal focus for early prediction and effective management of the disease in a time-bound and cost-effective manner. We aimed to evaluate COVID-19 severity-dependent alteration in inflammatory and coagulopathy biomarkers.
METHODS: A hospital-dependent retrospective observational study (total: n = 377; male, n = 213; and female, n = 164 participants) was undertaken. COVID-19 exposure was assessed by performing real-time PCR on nasopharyngeal (NP) swabs. Descriptive and inferential statistics were applied for both continuous and categorical variables using Rstudio-version-4.0.2. Pearson correlation and regression were executed with a cut-off of p < 0.05 for evaluating significance. Data representation by R-packages and ggplot2.
RESULTS: A significant variation in the mean ± SD (highly-sever (HS)/moderately severe (MS)) of CRP (HS/MS: 102.4 ± 22.9/21.3 ± 6.9, p-value < 0.001), D-dimer (HS/MS: 661.1 ± 80.6/348.7 ± 42.9, p-value < 0.001), and ferritin (HS/MS: 875.8 ± 126.8/593.4 ± 67.3, p-value < 0.001) were observed. Thrombocytopenia, high PT, and PTT exhibited an association with the HS individuals (p < 0.001). CRP was correlated with neutrophil (r = 0.77), ferritin (r = 0.74), and WBC (r = 0.8). D-dimer correlated with platelets (r = -0.82), PT (r = 0.22), and PTT (r = 0.37). The adjusted odds ratios (Ad-OR) of CRP, ferritin, D-dimer, platelet, PT, and PTT for HS compared to MS were 1.30 (95% CI -1.137, 1.50; p < 0.001), 1.048 (95% CI -1.03, 1.066; p < 0.001), 1.3 (95% CI -1.24, 1.49, p > 0.05), -0.813 (95% CI -0.734, 0.899, p < 0.001), 1.347 (95% CI -1.15, 1.57, p < 0.001), and 1.234 (95% CI -1.16, 1.314, p < 0.001), respectively.
CONCLUSIONS: SARS-CoV-2 caused alterations in vital laboratory parameters and raised ferritin, CRP, and D-dimer presented an association with disease severity at a significant level.
METHODS: A hospital-dependent retrospective observational study (total: n = 377; male, n = 213; and female, n = 164 participants) was undertaken. COVID-19 exposure was assessed by performing real-time PCR on nasopharyngeal (NP) swabs. Descriptive and inferential statistics were applied for both continuous and categorical variables using Rstudio-version-4.0.2. Pearson correlation and regression were executed with a cut-off of p < 0.05 for evaluating significance. Data representation by R-packages and ggplot2.
RESULTS: A significant variation in the mean ± SD (highly-sever (HS)/moderately severe (MS)) of CRP (HS/MS: 102.4 ± 22.9/21.3 ± 6.9, p-value < 0.001), D-dimer (HS/MS: 661.1 ± 80.6/348.7 ± 42.9, p-value < 0.001), and ferritin (HS/MS: 875.8 ± 126.8/593.4 ± 67.3, p-value < 0.001) were observed. Thrombocytopenia, high PT, and PTT exhibited an association with the HS individuals (p < 0.001). CRP was correlated with neutrophil (r = 0.77), ferritin (r = 0.74), and WBC (r = 0.8). D-dimer correlated with platelets (r = -0.82), PT (r = 0.22), and PTT (r = 0.37). The adjusted odds ratios (Ad-OR) of CRP, ferritin, D-dimer, platelet, PT, and PTT for HS compared to MS were 1.30 (95% CI -1.137, 1.50; p < 0.001), 1.048 (95% CI -1.03, 1.066; p < 0.001), 1.3 (95% CI -1.24, 1.49, p > 0.05), -0.813 (95% CI -0.734, 0.899, p < 0.001), 1.347 (95% CI -1.15, 1.57, p < 0.001), and 1.234 (95% CI -1.16, 1.314, p < 0.001), respectively.
CONCLUSIONS: SARS-CoV-2 caused alterations in vital laboratory parameters and raised ferritin, CRP, and D-dimer presented an association with disease severity at a significant level.
摘要：
背景：确定COVID-19严重程度的预测因子/预测因子是以有时间限制和具有成本效益的方式早期预测和有效管理疾病的主要重点。我们旨在评估COVID-19严重程度依赖性炎症和凝血病生物标志物的变化。
方法：一项依赖医院的回顾性观察性研究（总计：n=377；男性，n=213；女性，n=164名参与者)。通过对鼻咽（NP）拭子进行实时PCR评估COVID-19暴露。使用Rstudio-version-4.0.2对连续变量和分类变量都应用了描述性和推断性统计数据。进行Pearson相关和回归，截止值p<0.05，以评估显著性。由R-packages和ggplot2表示的数据。
结果：CRP的平均值±SD（高度严重（HS）/中度严重（MS））的显着变化（HS/MS：102.4±22.9/21.3±6.9，p值<0.001），D-二聚体（HS/MS：661.1±80.6/348.7±42.9，p值<0.001），观察到铁蛋白（HS/MS：875.8±126.8/593.4±67.3，p值<0.001）。血小板减少症，高PT,和PTT表现出与HS个体的相关性(p<0.001)。CRP与中性粒细胞呈正相关(r=0.77),铁蛋白(r=0.74)，和白细胞（r=0.8）。D-二聚体与血小板相关(r=-0.82)，PT（r=0.22），和PTT(r=0.37)。CRP的调整比值比(Ad-OR)，铁蛋白,D-二聚体,血小板,PT,与MS相比，HS的PTT为1.30（95％CI-1.137，1.50；p<0.001），1.048（95%CI-1.03，1.066；p<0.001），1.3（95%CI-1.24，1.49，p>0.05），-0.813（95%CI-0.734，0.899，p<0.001），1.347（95%CI-1.15，1.57，p<0.001），和1.234（95%CI-1.16，1.314，p<0.001），分别。
结论：SARS-CoV-2引起了重要实验室参数的改变，并升高了铁蛋白，CRP,D-二聚体与疾病严重程度有显著关联。
方法：一项依赖医院的回顾性观察性研究（总计：n=377；男性，n=213；女性，n=164名参与者)。通过对鼻咽（NP）拭子进行实时PCR评估COVID-19暴露。使用Rstudio-version-4.0.2对连续变量和分类变量都应用了描述性和推断性统计数据。进行Pearson相关和回归，截止值p<0.05，以评估显著性。由R-packages和ggplot2表示的数据。
结果：CRP的平均值±SD（高度严重（HS）/中度严重（MS））的显着变化（HS/MS：102.4±22.9/21.3±6.9，p值<0.001），D-二聚体（HS/MS：661.1±80.6/348.7±42.9，p值<0.001），观察到铁蛋白（HS/MS：875.8±126.8/593.4±67.3，p值<0.001）。血小板减少症，高PT,和PTT表现出与HS个体的相关性(p<0.001)。CRP与中性粒细胞呈正相关(r=0.77),铁蛋白(r=0.74)，和白细胞（r=0.8）。D-二聚体与血小板相关(r=-0.82)，PT（r=0.22），和PTT(r=0.37)。CRP的调整比值比(Ad-OR)，铁蛋白,D-二聚体,血小板,PT,与MS相比，HS的PTT为1.30（95％CI-1.137，1.50；p<0.001），1.048（95%CI-1.03，1.066；p<0.001），1.3（95%CI-1.24，1.49，p>0.05），-0.813（95%CI-0.734，0.899，p<0.001），1.347（95%CI-1.15，1.57，p<0.001），和1.234（95%CI-1.16，1.314，p<0.001），分别。
结论：SARS-CoV-2引起了重要实验室参数的改变，并升高了铁蛋白，CRP,D-二聚体与疾病严重程度有显著关联。
