Haematological, Biochemical, and Inflammatory Biomarkers of COVID-19 Patients Hospitalized in Critical Unit: A
Radi T Alsafi1, Faisal Minshawi1, Ahmad Alshareef2
1Laboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Mecca, SAU.
Insights
Identifying laboratory biomarkers can predict severe COVID-19 outcomes. Elevated D-dimer, white blood cells, neutrophils, and C-reactive protein levels indicate higher hospitalization risk in COVID-19 patients.
Area of Science:
- Medical Research
- Infectious Diseases
- Clinical Diagnostics
Background:
- The COVID-19 pandemic highlighted the need for biomarkers to predict disease severity.
- Unpredictable disease progression in SARS-CoV-2 infections poses challenges to healthcare systems.
- Understanding laboratory markers aids in predicting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogenicity.
Purpose of the Study:
- To identify laboratory biomarkers predicting hospitalization in COVID-19 patients.
- To differentiate between severe (ICU) and stable (non-ICU) COVID-19 cases.
- To analyze haematological, inflammatory, and biochemical profiles for predictive value.
Main Methods:
- Retrospective study of 487 COVID-19 patients (May-September 2020).
- Patients categorized into intensive care unit (ICU) and non-ICU groups.
- Data collected from medical records at Saudi Arabian hospitals.
Main Results:
- ICU patients exhibited higher prevalence of chronic comorbidities.
- Elevated levels of D-dimer, white blood cells (WBC), neutrophils, ferritin, C-reactive protein (CRP), lactate dehydrogenase (LDH), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) in ICU patients.
- Significant differences in inflammatory and biochemical markers between severe and stable cases.
Conclusions:
- Chronic comorbidities are significant predictors of ICU admission.
- Laboratory tests including D-dimer, WBC, neutrophils, lymphocytes, CRP, LDH, and ALT can predict ICU admission.
- Biomarker profiles offer valuable insights into COVID-19 patient stratification and management.
Background:
The World Health Organization declared coronavirus disease 2019 (COVID-19) responsible for a catastrophic global pandemic. The complexity of COVID-19 is centred on the unpredictable course of the disease, which can rapidly develop from patients being asymptomatic to having life-threatening symptoms. The unpredictable disease severity of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been a major problem facing the healthcare system during the pandemic. Identifying the laboratory biomarkers would help predict SARS-CoV-2 pathogenicity. This study focused on the previous literature regarding three laboratory biomarker profiles: haematological, inflammatory, and biochemical biomarkers.
Methods:
A retrospective study of COVID-19 patients was conducted between May 2020 and September 2020 to determine the predictors of hospitalization (severity) in COVID-19 patients. Patients were divided into two groups: those admitted to an intensive care unit (ICU, severe) and those admitted to a non-ICU (stable). Patients' data were obtained from their medical records at Al Noor Specialist Hospital and East Arafat Hospital in Saudi Arabia.
Results:
A total of 487 patients with COVID-19, including 304 males and 183 females, were investigated in this study. A total of 217 patients were admitted to the ICU. Patients admitted to the ICU had a higher prevalence of chronic comorbidities than non-ICU patients. D-dimer, white blood cells (WBC), neutrophils, ferritin, C-reactive protein (CRP), lactate dehydrogenase (LDH), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) were more elevated in patients admitted to the ICU compared to non-ICU patients.
Conclusion:
Chronic comorbidities are a significant predictor for admission to the ICU. Moreover, tests for D-dimer, WBC, neutrophils, lymphocytes, CRP, LDH, and ALT could be used to predict patients' admission to the ICU.
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