Publication:
Biochemical and Hematological Predictors of Mortality in Thai Patients with COVID-19

dc.contributor.authorWiwattanakul S.
dc.contributor.authorTaweerutchana R.
dc.contributor.authorKhuancharee K.
dc.contributor.authorRojanasang P.
dc.contributor.authorSuwannarat P.
dc.contributor.authorPanichchob P.
dc.contributor.authorRomputtan P.
dc.contributor.authorTeravaninthorn N.
dc.contributor.authorWiriyakunakorn N.
dc.contributor.authorChamnanphon M.
dc.contributor.correspondenceWiwattanakul S.
dc.contributor.otherSrinakharinwirot University
dc.date.accessioned2026-01-02T19:00:01Z
dc.date.issued2025-11-24
dc.date.issuedBE2568-11-24
dc.description.abstractBACKGROUND: 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.
dc.identifier.citationMedical Sciences Basel Switzerland Vol.13 No.4 (2025)
dc.identifier.doi10.3390/medsci13040281
dc.identifier.eissn20763271
dc.identifier.pmid41440513
dc.identifier.scopus2-s2.0-105025739508
dc.identifier.urihttps://hdl.handle.net/20.500.14740/55000
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleBiochemical and Hematological Predictors of Mortality in Thai Patients with COVID-19
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue4
oaire.citation.titleMedical Sciences Basel Switzerland
oaire.citation.volume13
oairecerif.author.affiliationFaculty of Medicine, Srinakharinwirot University
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105025739508&origin=inward

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