Inflammatory, Hematological, and Biochemical Biomarkers in COVID-19 Patients

IF 3.1 4区医学 Q3 IMMUNOLOGY

Immunity, Inflammation and Disease Pub Date : 2024-12-06 DOI:10.1002/iid3.70078

Rebeccah M. Ayako, Kirtika Patel, Isaac Ndede, Johan Nordgren, Marie Larrson, Simeon K. Mining

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Abstract

Introduction

There are few accurate prognostic indications of the illness's development and severity for COVID-19, despite certain biomarkers having been investigated. The unexpected nature of COVID-19's course, which can quickly progress from asymptomatic to life-threatening symptoms, lies at the heart of the disease's intricacy. Predicting SARS-CoV-2 pathogenicity through laboratory biomarkers and as such, identifying the patients’ illness severity at the time of their initial admission would be crucial in improving patient care. In this study, we sought to evaluate the potential of hematological, biochemical, and inflammatory biomarkers in predicting the course of COVID-19 at a tertiary hospital in western Kenya.

Methods

This cross-sectional study involved 48 COVID-19 patients (16 asymptomatic; 16 moderate symptomatic; and 16 severe symptomatic) and 48 age-sex-matched COVID-19-negative clients attending the Moi Teaching and Referral Hospital, Kenya. Demographic information, self-reported chronic illnesses, symptoms, and laboratory results were collected at recruitment.

Results

Significantly, the severity of COVID-19 was associated with; hemoglobin (p < 0.0001), white blood cells (p = 0.0022), hematocrit (p < 0.0001), blood urea nitrogen (p = 0.01), blood sodium (p = 0.0002), potassium (p = 0.0483), C-reactive protein (p = 0.0002), and Lactate Dehydrogenase (p < 0.0001). Regression analysis of CRP revealed a strong positive correlation (p = 0.0006) whereas LDH revealed a weak positive correlation (p < 0.0001) with COVID-19 disease severity. Discriminative accuracy was highest when asymptomatic was compared to severe COVID-19 for CRP and LDH (AUC: 0.8867, 95% CI: 0.7532–1.000) and (AUC: 1.000, 95% CI: 1.000–1.000) respectively.

Conclusion

The hematological indices, inflammatory and biochemical biomarkers studied have the potential to predict the course of COVID-19. These parameters may be useful in helping design appropriate care for COVID-19 patients.

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COVID-19患者的炎症、血液学和生化生物标志物

导言：尽管已经对某些生物标志物进行了研究，但很少有准确的预测COVID-19疾病发展和严重程度的适应症。COVID-19的病程出人意料，可以迅速从无症状发展到危及生命的症状，这是该疾病复杂性的核心。通过实验室生物标志物预测SARS-CoV-2的致病性，因此，在患者最初入院时确定患者的疾病严重程度对于改善患者护理至关重要。在这项研究中，我们试图评估血液学、生化和炎症生物标志物在预测肯尼亚西部一家三级医院COVID-19病程中的潜力。方法：本横断面研究纳入48例COVID-19患者(16例无症状；16例症状中度；在肯尼亚Moi教学和转诊医院就诊的16名严重症状患者和48名年龄性别匹配的covid -19阴性患者。在招募时收集人口统计信息、自我报告的慢性疾病、症状和实验室结果。结果：COVID-19严重程度与；结论：血液学指标、炎症及生化指标对新冠肺炎病程有预测作用。这些参数可能有助于为COVID-19患者设计适当的护理。

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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来源期刊

Immunity, Inflammation and Disease Medicine-Immunology and Allergy

CiteScore

3.60

自引率

0.00%

发文量

146

审稿时长

8 weeks

期刊介绍： Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including: • cellular and molecular immunology • clinical immunology • allergy • immunochemistry • immunogenetics • immune signalling • immune development • imaging • mathematical modelling • autoimmunity • transplantation immunology • cancer immunology