ArticleMedicine2021
The Cox model of predicting mortality among melioidosis patients in Northern Malaysia: A retrospective study.
Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- An interpretable machine learning approach to prognosis of melioidosis pneumonia via computed tomography quantification and clinical data.Scientific reports · 2025Article
- Co-Infections and Their Prognostic Impact on Melioidosis Mortality: A Systematic Review and Individual Patient Data Meta-Analysis.Epidemiologia (Basel, Switzerland) · 2025Review
- Clinical Prediction Rules for In-Hospital Mortality Outcome in Melioidosis Patients.Tropical medicine and infectious disease · 2024Article
- Epidemiology and genetic diversity of Burkholderia pseudomallei from Riau Province, Indonesia.PLoS neglected tropical diseases · 2024Article
- The Predictive Factors Associated with In-Hospital Mortality of Melioidosis: A Cohort Study.Medicina (Kaunas, Lithuania) · 2024Article
- Low leucocyte, neutrophil and lymphocyte count (tri-low phenotype) in melioidosis: A predictor of early mortality.Current research in microbial sciences · 2024Article
- Endemic melioidosis in central Taiwan-A longitudinal case cohort study.Frontiers in medicine · 2023Article
- The Epidemiology of Melioidosis and Its Association with Diabetes Mellitus: A Systematic Review and Meta-Analysis.Pathogens (Basel, Switzerland) · 2022Article
- Rare manifestation of melioidosis with suppurative pericarditis: A case report and mini review.Therapeutic advances in infectious diseaseArticle
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
abstractMelioidosis is an infectious disease that is initiated by a bacteria recognized as Burkholderia pseudomallei. Despite the high fatality rate from melioidosis, there is a minimal published study about the disease in Malaysia.This study aimed to identify the prognostic factors of mortality among melioidosis patients in northern Malaysia.All inpatient patients who were admitted to Hospital Sultanah Bahiyah, Kedah and Hospital Tuanku Fauziah, Perlis with culture-confirmed melioidosis during the period 2014 to 2017 were included in the study. The study retrospectively collected 510 melioidosis patients from the Melioidosis Registry. Hazard ratio (HR) used in advanced multiple Cox regression was used to obtain the final model of prognostic factors of melioidosis. The analysis was performed using STATA/SE 14.0 for Windows software.From the results, among the admitted patients, 50.1% died at the hospital. The mean age for those who died was 55 years old, and they were mostly male. The most common underlying disease was diabetes mellitus (69.8%), followed by hypertension (32.7%). The majority of cases (86.8%) were bacteremic. The final Cox model identified 5 prognostic factors of mortality among melioidosis patients. The factors were diabetes mellitus, type of melioidosis, platelet count, white blood cell count, and urea value. The results showed that bacteremic melioidosis increased the risk of dying by 3.47 (HR: 3.47, 95% confidence intervals [CI]: 1.67-7.23, P = .001) compared to non-bacteremic melioidosis. Based on the blood investigations, the adjusted HRs from the final model showed that all 3 blood investigations were included as the prognostic factors for the disease (low platelet: HR = 1.76, 95% CI: 1.22-2.54, P = .003; high white blood cell: HR = 1.49, 95% CI 1.06-2.11, P = .023; high urea: HR = 2.92, 95% CI: 1.76-4.85, P < .001; and low level of urea: HR = 2.69, 95% CI: 1.69-4.29, P < .001). By contrast, melioidosis patients with diabetic had 30.0% lower risk of dying from melioidosis compared to those with non-diabetic (HR = 0.70, 95% CI: 0.52-0.94, P = .016).Identifying the prognostic factors of mortality in patients with melioidosis allows a guideline of early management in these patients, which may improve patient's survival.
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