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Clinical Utility of Platelet Count as a Prognostic Marker for Melioidosis
Philippa Kirby1,2, Simon Smith3, Linda Ward2
1Infectious Diseases Department and Northern Territory Medical Program, Royal Darwin Hospital, Darwin, Australia.
Abstract:
Thromobocytopenia predicts mortality in patients with melioidosis in Thailand. We analyzed platelet counts in two large cohorts of melioidosis patients in tropical northern Australia to assess utility in a different clinical setting. Admission platelet counts were compared between subgroups of patients with different clinical outcomes. Patients with more severe disease (indicated by bacteremia, septic shock, and death) had significantly lower platelet counts than those with less severe disease. Logistic regression analysis was carried out for potential predictors of mortality among various clinical parameters, and platelet count was shown to be an independent predictor of mortality. Furthermore, in patients critically ill with melioidosis, an increasing platelet count after admission was associated with a significantly greater chance of survival. However, given that most patients with severe disease still had platelet counts within the normal range, platelet count is not a useful biomarker for predicting the severity of melioidosis in a clinical context.
Insights
Thrombocytopenia, or low platelet count, predicts mortality in melioidosis patients. However, platelet levels often remain within normal ranges, limiting its clinical use for predicting disease severity.
Area of Science:
- Infectious Diseases
- Hematology
- Clinical Medicine
Background:
- Melioidosis is a serious bacterial infection prevalent in tropical regions.
- Thrombocytopenia has been identified as a predictor of mortality in melioidosis patients in Thailand.
Purpose of the Study:
- To assess the utility of platelet count in predicting melioidosis severity and mortality in northern Australia.
- To compare platelet counts between melioidosis patient subgroups with varying clinical outcomes.
Main Methods:
- Analysis of platelet counts in two large cohorts of melioidosis patients.
- Comparison of admission platelet counts across different disease severity groups (bacteremia, septic shock, death).
- Logistic regression analysis to identify independent predictors of mortality.
Main Results:
- Patients with severe melioidosis (bacteremia, septic shock, death) exhibited significantly lower platelet counts.
- Platelet count was identified as an independent predictor of mortality.
- Increasing platelet count post-admission correlated with a higher survival chance in critically ill patients.
Conclusions:
- While low platelet count is associated with mortality in melioidosis, most severe cases present with normal platelet counts.
- Platelet count is not a reliable clinical biomarker for predicting melioidosis severity in this Australian cohort.
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