The prognostic role of inflammatory markers in COVID-19 patients: A retrospective analysis in a tertiary care hospital of southern India

Shivkumar Gopalakrishnan, Babu Krishnan, Malini Krishnan, S. Kandasamy, Peer Sahul Hameed, Velmurugan Karunakaran
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Abstract

Background: Approximately 5% of COVID-19 patients suffer from near-fatal disease. Clinical and radiologic features may predict severe disease although with limited specificity and radiation hazard. Laboratory biomarkers are specific, simple, and point-of-care triage tools that can be used to predict the severity of the disease. This research aimed to study the role of inflammatory markers (serum ferritin, lactate dehydrogenase [LDH], D-dimer, and C-reactive protein [CRP]) in prognosticating COVID-19 patients. Methodology: This was a hospital-based retrospective study conducted on COVID-19 adult inpatients classified into three groups: mild disease-recovered (Group I), severe disease-recovered (Group II), and dead (Group III). Categorical outcomes were compared using the Chi-square test. Univariate binary logistic regression analysis was performed to test the association between the outcome and explanatory variables. An unadjusted odds ratio (OR) along with a 95% confidence interval was calculated. The utility of laboratory parameters (ferritin, LDH, neutrophil/lymphocyte ratio, D-dimer, and platelet/lymphocyte ratio) in predicting the severity of COVID-19 was assessed by the receiver operative curve analysis. P < 0.05 was considered statistically significant. Results: A total of 500 case records were analyzed. The mean age was 49.32 ± 17.1 years. About 72.4% were <60 years and 301 male and 199 female patients were included. The comorbidity count included diabetes 168 (33.6%), hypertension 122 (24.4%), coronary artery disease 23 (4.6%), hypothyroidism 3 (6%), and others 33 (6.6%) The median levels of ferritin among the three groups differed significantly bearing higher levels in Group 3 (P < 0.001). Median LDH and D-dimer values of the three groups showed statistical significance (P < 0.001). Qualitative CRP was significantly associated with poor outcomes (P < 0.001). The odds of patients suffering severe COVID-19 rose with rising values of ferritin, LDH, and D-dimer (unadjusted OR: 1.007, 1.004, and 1.020). Conclusion: Onetime measurement of serum ferritin, LDH, D-dimer, and CRP performed between 7th and 10th day of symptoms significantly predicted outcomes for COVID-19 inpatients.
炎症标志物在COVID-19患者中的预后作用:印度南部一家三级医院的回顾性分析
背景:大约5%的COVID-19患者患有近乎致命的疾病。临床和放射学特征可以预测严重的疾病,但特异性和放射危害有限。实验室生物标志物是特定的、简单的、即时的分诊工具,可用于预测疾病的严重程度。本研究旨在研究炎症标志物(血清铁蛋白、乳酸脱氢酶(LDH)、d -二聚体和c反应蛋白(CRP))在COVID-19患者预后中的作用。方法:采用基于医院的回顾性研究方法,将新冠肺炎住院成人患者分为轻病痊愈组(I组)、重病痊愈组(II组)和死亡组(III组),分类结果采用卡方检验进行比较。采用单变量二元逻辑回归分析检验结果与解释变量之间的相关性。计算未调整的优势比(OR)和95%置信区间。通过患者手术曲线分析评估实验室参数(铁蛋白、乳酸脱氢酶、中性粒细胞/淋巴细胞比值、d -二聚体和血小板/淋巴细胞比值)预测COVID-19严重程度的效用。P < 0.05为差异有统计学意义。结果:共分析500例病例。平均年龄49.32±17.1岁。年龄<60岁的占72.4%,其中男性301例,女性199例。共患糖尿病168例(33.6%),高血压122例(24.4%),冠心病23例(4.6%),甲状腺功能减退3例(6%),其他33例(6.6%)。三组间铁蛋白中位水平差异显著,其中第3组铁蛋白中位水平较高(P < 0.001)。三组LDH、d -二聚体中位值比较,差异均有统计学意义(P < 0.001)。定性CRP与不良预后显著相关(P < 0.001)。随着铁蛋白、LDH和d -二聚体的升高,患者患严重COVID-19的几率上升(未经调整的OR: 1.007、1.004和1.020)。结论:在症状出现后第7天至第10天一次性检测血清铁蛋白、LDH、d -二聚体和CRP可显著预测COVID-19住院患者的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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