Rebeccah M. Ayako, Kirtika Patel, Isaac Ndede, Johan Nordgren, Marie Larrson, Simeon K. Mining
{"title":"COVID-19患者的炎症、血液学和生化生物标志物","authors":"Rebeccah M. Ayako, Kirtika Patel, Isaac Ndede, Johan Nordgren, Marie Larrson, Simeon K. Mining","doi":"10.1002/iid3.70078","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Significantly, the severity of COVID-19 was associated with; hemoglobin (<i>p</i> < 0.0001), white blood cells (<i>p</i> = 0.0022), hematocrit (<i>p</i> < 0.0001), blood urea nitrogen (<i>p</i> = 0.01), blood sodium (<i>p</i> = 0.0002), potassium (<i>p</i> = 0.0483), C-reactive protein (<i>p</i> = 0.0002), and Lactate Dehydrogenase (<i>p</i> < 0.0001). Regression analysis of CRP revealed a strong positive correlation (<i>p</i> = 0.0006) whereas LDH revealed a weak positive correlation (<i>p</i> < 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":13289,"journal":{"name":"Immunity, Inflammation and Disease","volume":"12 12","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11621974/pdf/","citationCount":"0","resultStr":"{\"title\":\"Inflammatory, Hematological, and Biochemical Biomarkers in COVID-19 Patients\",\"authors\":\"Rebeccah M. Ayako, Kirtika Patel, Isaac Ndede, Johan Nordgren, Marie Larrson, Simeon K. Mining\",\"doi\":\"10.1002/iid3.70078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Introduction</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Significantly, the severity of COVID-19 was associated with; hemoglobin (<i>p</i> < 0.0001), white blood cells (<i>p</i> = 0.0022), hematocrit (<i>p</i> < 0.0001), blood urea nitrogen (<i>p</i> = 0.01), blood sodium (<i>p</i> = 0.0002), potassium (<i>p</i> = 0.0483), C-reactive protein (<i>p</i> = 0.0002), and Lactate Dehydrogenase (<i>p</i> < 0.0001). Regression analysis of CRP revealed a strong positive correlation (<i>p</i> = 0.0006) whereas LDH revealed a weak positive correlation (<i>p</i> < 0.0001) with COVID-19 disease severity. 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Inflammatory, Hematological, and Biochemical Biomarkers in COVID-19 Patients
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.
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