Inflammatory biomarkers and adverse outcome in COVID-19: Prelude for future viral pandemics.

IF 1.1 Q4 PRIMARY HEALTH CARE
Ankit Kumar, Sushma Yendamuri, Faiz Ahmad, Partha B Mukherjee, Ravi Kumar, Manish Manrai, J Muthukrishnan, Saurabh Dawra
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引用次数: 0

Abstract

Background: Dysregulated inflammatory response plays a key role in the pathogenesis of COVID-19. The role of inflammatory markers to predict adverse clinical outcome is still controversial. The aim of this study was to analyze the association of inflammatory markers with disease outcomes independent of the effect of age and co-morbidities.

Materials and methods: This is a retrospective analysis of COVID-19 patients admitted at a dedicated COVID center from July 2020 to Mar 2022. Clinical characteristics and inflammatory markers namely serum Ferritin levels, CRP, D-Dimer levels, serum LDH and IL-6 Levels were studied. The following outcome parameters were collected: disease severity at onset and outcome (discharge/death).

Results: 48.4% of the of 244 COVID-19 cases included had severe disease while 51.6% had moderate disease. Mean age was 61.3 ± 14.17 years and 71.7% were males. Primary Hypertension (48.4%) and Diabetes Mellitus (39.3%) were the most common co-morbidities. Increasing age, smoking, and alcohol consumption were associated with severe disease. CRP, D-dimer, and IL-6 were independent risk factors for disease severity while CRP, D dimer, LDH, Ferritin, and NLR (Neutrophil Lymphocyte ratio) were independent predictors of disease mortality. D-dimer was the most sensitive (95.8%) and specific (92.2%) marker to predict disease severity and serum LDH was the most sensitive (74.7%) to predict disease mortality at baseline.

Conclusion: Measurement of inflammatory markers might assist clinicians in predicting disease severity and prognosis of COVID-19. This may serve as a benchmark to understand the role of inflammatory markers in other diseases associated with dysregulated inflammatory response.

COVID-19的炎症生物标志物和不良结局:未来病毒大流行的前奏
背景:炎症反应异常在COVID-19的发病机制中起关键作用。炎症标志物在预测不良临床结果中的作用仍存在争议。本研究的目的是分析炎症标志物与疾病结局的相关性,不受年龄和合并症的影响。材料和方法:回顾性分析2020年7月至2022年3月在专门的COVID-19中心入院的COVID-19患者。研究临床特征及血清铁蛋白水平、CRP、d -二聚体水平、LDH、IL-6水平等炎症指标。收集以下结局参数:发病时疾病严重程度和结局(出院/死亡)。结果:244例新冠肺炎患者中重症占48.4%,中度占51.6%。平均年龄61.3±14.17岁,男性占71.7%。原发性高血压(48.4%)和糖尿病(39.3%)是最常见的合并症。年龄增长、吸烟和饮酒与严重疾病有关。CRP、D-二聚体和IL-6是疾病严重程度的独立危险因素,而CRP、D-二聚体、LDH、铁蛋白和NLR(中性粒细胞淋巴细胞比率)是疾病死亡率的独立预测因素。d -二聚体是预测疾病严重程度最敏感(95.8%)和特异性(92.2%)的标志物,血清LDH是预测基线疾病死亡率最敏感(74.7%)的标志物。结论:检测炎症标志物有助于临床医生预测COVID-19的病情严重程度和预后。这可以作为了解炎症标志物在其他与炎症反应失调相关的疾病中的作用的基准。
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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自引率
7.10%
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884
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