Predictive Factors to Diagnosis of Leptospirosis among suspected cases, Si Sa Ket Province
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Abstract
Background: Leptospirosis is an important zoonotic disease in many countries, including Thailand. Si Sa Ket Province has usually been ranked in the top five every year. However, confirmed diagnoses still present many limitations. Therefore, clinical manifestations and basic laboratory tests were utilized to enable earlier diagnosis and treatment.
Objectives: To determine the signs, symptoms, and basic laboratory results in suspected patients compared with confirmed laboratory results and identify the strong predictors that could assist in diagnosing leptospirosis.
Materials and methods: This retrospective cohort study used data from the research project ‘Serovar and the severity of Leptospirosis’ by the Faculty of Medicine at Chulalongkorn University. The project collected data from 314 suspected cases of Leptospirosis in Si Sa Ket Province according to the confirmed case definition from the Centers for Disease Control and Prevention (CDC).
Results: In 314 suspected patients, 217 patients were confirmed cases (69.1%). Sixteen different variables were discovered in the study from all signs, symptoms, clinical manifestations, and basic laboratory results, contributing to 3 strong predictors identified, which were urine protein stripe≥ 1+, platelet count <100,000 / mm3, and neutrophil count ≥ 80%.
Conclusion: There are still many limitations in submitting for laboratory examination to confirm the disease. Therefore, symptoms, clinical manifestations, and risk factors, together with the strong predictive factors that can be done practically in every hospital, will help to enable earlier diagnosis and treatment.
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References
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