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Abstract：
This study aimed to evaluate the diagnostic utility of haematological parameters as a predictive marker of the severity of HIV infection in southwestern Ethiopia.
Comparative cross-sectional study.
This study was conducted in southwestern Ethiopia.
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.
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.
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.
Comparative cross-sectional study.
This study was conducted in southwestern Ethiopia.
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.
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.
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.
摘要：
目的：本研究旨在评估血液参数作为埃塞俄比亚西南部HIV感染严重程度的预测指标的诊断实用性。
方法：比较横断面研究。
方法：本研究在埃塞俄比亚西南部进行。
方法：从344名参与者（172名HIV，使用自动血液学分析仪确定172名健康对照（HC））和血液学参数。通过受试者工作曲线分析确定血液学参数的诊断效用。使用SPSSV.21对数据进行分析，并将p值设置为小于0.05以具有统计学意义。
结果：在这项研究中，红细胞计数（RCC）在4.05×109/L的阈值下区分HIV感染患者和HC，特异性和曲线下面积（AUC）为73.8%，分别为78.5%和0.87。截止值为4.25×109/L时,RCC将非重度HIV感染患者与HC显着区分开来，敏感性为72.7％，特异性为81.7%，AUC为0.86。血红蛋白（Hgb）显着区分严重HIV感染患者与HC的敏感性，特异性和95.9%的AUC，分别为86.7%和0.96。血小板计数（PLT）可将HC与非重度和重度HIV感染患者显着区分开，AUC分别为0.74和0.963。
结论：RCC，PLT和Hgb在预测HIV感染的严重程度方面表现出更好的诊断性能，并且已被确定为预测HIV感染的存在和严重程度的最佳血液学标志物。因此，血液学概况(RCC，PLT和Hgb）应用作预测HIV感染严重程度的替代标记，并可能为循证干预和感染的早期诊断提供支持信息。
方法：比较横断面研究。
方法：本研究在埃塞俄比亚西南部进行。
方法：从344名参与者（172名HIV，使用自动血液学分析仪确定172名健康对照（HC））和血液学参数。通过受试者工作曲线分析确定血液学参数的诊断效用。使用SPSSV.21对数据进行分析，并将p值设置为小于0.05以具有统计学意义。
结果：在这项研究中，红细胞计数（RCC）在4.05×109/L的阈值下区分HIV感染患者和HC，特异性和曲线下面积（AUC）为73.8%，分别为78.5%和0.87。截止值为4.25×109/L时,RCC将非重度HIV感染患者与HC显着区分开来，敏感性为72.7％，特异性为81.7%，AUC为0.86。血红蛋白（Hgb）显着区分严重HIV感染患者与HC的敏感性，特异性和95.9%的AUC，分别为86.7%和0.96。血小板计数（PLT）可将HC与非重度和重度HIV感染患者显着区分开，AUC分别为0.74和0.963。
结论：RCC，PLT和Hgb在预测HIV感染的严重程度方面表现出更好的诊断性能，并且已被确定为预测HIV感染的存在和严重程度的最佳血液学标志物。因此，血液学概况(RCC，PLT和Hgb）应用作预测HIV感染严重程度的替代标记，并可能为循证干预和感染的早期诊断提供支持信息。
