ArticleBMJ open2023
Diagnostic utility of haematological parameters in predicting the severity of HIV infection in southwestern Ethiopia: a comparative cross-sectional study.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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- Estimation of receiver operating characteristic curve when case and control require different transformations for normality.Statistical methods in medical research · 2025Article
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4 authors at 1 institution in 1 country.
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Abstract
objectivesThis study aimed to evaluate the diagnostic utility of haematological parameters as a predictive marker of the severity of HIV infection in southwestern Ethiopia.
designComparative cross-sectional study.
settingThis study was conducted in southwestern Ethiopia.
participantsVenous blood samples were collected from 344 participants (172 HIV, 172 healthy controls (HC)) and haematological parameters were determined using the automated haematology analyser. The diagnostic utility of haematological parameters was determined by a receiver operating curve analysis. Data were analysed using SPSS V.21 and the p value was set at less than 0.05 for the statistical significance.
resultsIn this study, red cell count (RCC) distinguishes HIV-infected patients from HC at a threshold value of 4.05×10
conclusionRCC, PLT and Hgb demonstrated better diagnostic performance in predicting the severity of HIV infection and have been identified as the best haematological markers in predicting the presence and severity of HIV infection. Thus, the haematological profiles (RCC, PLT and Hgb) should be used as an alternative marker to predict the severity of HIV infection and may provide supportive information for evidence-based interventions and early diagnosis of infections.
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