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Biochemical and Hematological Predictors of Mortality in Thai Patients with COVID-19
Supaporn Wiwattanakul1, Rutchaporn Taweerutchana2, Kitsarawut Khuancharee3
1Department of Pathology, HRH Princess Maha Chakri Sirindhorn Medical Center, Faculty of Medicine, Srinakharinwirot University, Nakhon Nayok 26120, Thailand.
Insights
Age, potassium, creatinine, hemoglobin A1c, and red cell distribution width are key predictors of COVID-19 mortality. Lower platelet counts also increase mortality risk in patients with coronavirus disease.
Area of Science:
- Clinical Medicine
- Biochemistry
- Hematology
Background:
- Coronavirus disease (COVID-19) exhibits diverse clinical presentations, from asymptomatic to fatal outcomes.
- Laboratory parameters in COVID-19 patients fluctuate and serve as crucial biomarkers for disease monitoring.
- This study investigates the link between biochemical/hematological markers and survival in early COVID-19 cases.
Purpose of the Study:
- To identify significant biochemical and hematological predictors of mortality in hospitalized COVID-19 patients.
- To analyze the association between specific laboratory markers and patient survival rates.
Main Methods:
- Retrospective cohort study analyzing data from 397 hospitalized COVID-19 patients (March-December 2021).
- Inclusion criteria: Adults (≥18 years) with positive PCR results.
- Univariate and multivariate logistic regression analyses were performed on mortality-related laboratory parameters.
Main Results:
- Forty-two patients (10.58%) died during hospitalization.
- Independent mortality predictors identified: increased age, potassium, creatinine, hemoglobin A1c, and red cell distribution width.
- Lower platelet counts were significantly associated with a higher risk of mortality (aOR = 0.98; 95% CI: 0.97-0.99).
Conclusions:
- Age, potassium, creatinine, hemoglobin A1c, red cell distribution width, and platelet count are significant predictors of COVID-19 mortality.
- These laboratory markers should be critically evaluated by clinicians when managing COVID-19 patients.
Background:
Coronavirus disease (COVID-19), caused by SARS-CoV-2 infection, presents a broad spectrum of clinical manifestations, ranging from asymptomatic cases to severe and fatal outcomes. Studies have shown that laboratory parameters fluctuate in patients with COVID-19, and these parameters serve as valuable biomarkers for monitoring disease progression. This study examines the relationship between changes in biochemical and hematological markers and patient survival among early COVID-19 cases.
Materials And Methods:
In this retrospective cohort study, data from adult (≥18 years) hospitalized COVID-19 patients with positive PCR results at HRH Princess Maha Chakri Sirindhorn Medical Center, Srinakharinwirot University, Nakhon Nayok, Thailand, between March and December 2021, were analyzed. Univariate and multivariate logistic regression analyses were conducted on mortality-related laboratory parameters. All measures are reported as adjusted odds ratios (aORs) with 95% confidence intervals (CIs).
Results:
The cohort included 397 patients with pneumonia (median age: 52.2 years (IQR: 40.5-64.6); 61.96% female). Among them, 42 patients (10.58%) succumbed during hospitalization, with a median hospital stay of 12.92 days (IQR: 10.03-15.94). Independent mortality predictors were identified as follows: age (aOR = 1.11; 95% CI: 1.04-1.19; p = 0.002), potassium (aOR = 6.27; 95% CI: 1.31-29.93; p = 0.021), creatinine (aOR = 1.62; 95% CI: 1.05-2.50; p = 0.028), hemoglobin A1c (aOR = 1.96; 95% CI: 1.30-2.97; p = 0.001), and red cell distribution width (aOR = 1.45; 95% CI: 1.05-2.02; p = 0.026), respectively. Furthermore, patients with lower platelet counts had a notably higher risk of mortality (aOR = 0.98; 95% CI: 0.97-0.99; p = 0.001).
Conclusions:
Our findings suggest that age, potassium, creatinine, hemoglobin A1c, red cell distribution width, and platelet count are significant predictors of mortality risk in patients with COVID-19. Clinicians should consider these biochemical and hematological markers critically before initiating treatment for COVID-19 patients.
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