BMJ Open. 2023 Oct 18;13(10):e072678. doi: 10.1136/bmjopen-2023-072678.
ABSTRACT
OBJECTIVES: This study aimed to evaluate the diagnostic utility of haematological parameters as a predictive marker of the severity of HIV infection in southwestern Ethiopia.
DESIGN: Comparative cross-sectional study.
SETTING: This study was conducted in southwestern Ethiopia.
PARTICIPANTS: Venous 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.
RESULTS: In this study, red cell count (RCC) distinguishes HIV-infected patients from HC at a threshold value of 4.05×109/L with sensitivity, specificity and an area under the curves (AUC) of 73.8%, 78.5% and 0.87, respectively. At a cut-off value of 4.25×109/L, RCC significantly distinguishes non-severe HIV-infected patients from HC with a sensitivity of 72.7%, specificity of 81.7% and an AUC of 0.86. Haemoglobin (Hgb) significantly differentiates severe HIV-infected patients from HC with sensitivity, specificity and an AUC of 95.9%, 86.7% and 0.96, respectively. Platelet count (PLT) significantly discriminates HC from non-severe and severe HIV-infected patients with an AUC of 0.74 and 0.963, respectively.
CONCLUSION: RCC, 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.
PMID:37852759 | DOI:10.1136/bmjopen-2023-072678
