Publication: Biochemical and Hematological Predictors of Mortality in Thai Patients with COVID-19
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Issued Date
2025-11-24
Resource Type
eISSN
20763271
Scopus ID
2-s2.0-105025739508
Pubmed ID
41440513
Journal Title
Medical Sciences Basel Switzerland
Volume
13
Issue
4
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SCOPUS
Bibliographic Citation
Medical Sciences Basel Switzerland Vol.13 No.4 (2025)
Suggested Citation
Wiwattanakul S., Taweerutchana R., Khuancharee K., Rojanasang P., Suwannarat P., Panichchob P., Romputtan P., Teravaninthorn N., Wiriyakunakorn N., Chamnanphon M. Biochemical and Hematological Predictors of Mortality in Thai Patients with COVID-19. Medical Sciences Basel Switzerland Vol.13 No.4 (2025). doi:10.3390/medsci13040281 Retrieved from: https://hdl.handle.net/20.500.14740/55000
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Abstract
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.