Prediction of CD4 T-Lymphocyte Count Using WHO Clinical Staging among ART-Naïve HIV-Infected Adolescents and Adults in Northern Ethiopia: A Retrospective Study.

BACKGROUND: WHO clinical staging has long been used to assess the immunological status of HIV-infected patients at initiation of antiretroviral therapy and during treatment follow-up. In setups where CD4 count determination is not readily available, WHO clinical staging is a viable option. However, correlation between CD4 count and WHO clinical staging is not known in an Ethiopian setting, and hence, the main aim of this study was to assess predictability of CD4 T-lymphocyte count using WHO clinical staging among ART-naïve HIV-infected adolescents and adults in northern Ethiopia. METHODS: A retrospective cross-sectional study was done in the Tigray Region, Ethiopia, from April 2015 to January 2019 from a secondary database of 19525 HIV-infected patients on antiretroviral treatment. Analysis was done using STATA-14.0 to estimate the frequencies, mean, and median of CD4 T-cell count in each WHO stages. Sensitivity, specificity, positive predictive value, negative predictive value, kappa test, and correlations were calculated to show the relationships between WHO stages and CD T-cell count. RESULTS: The sensitivity of WHO clinical staging to predict CD4 T-cell counts of <200 cells/µl was 94.17% with a specificity of 3.62%. The PPV was 49.03%, and the NPV was 3.62%. The sensitivity of WHO clinical staging to predict CD4 T-cell counts of <350 cells/µl was 94.75% with a specificity of 3.00%. The PPV was 75.81%, and the NPV was 15.09%. Similarly, the sensitivity of WHO clinical staging to predict CD4 T-cell counts of <500 cells/µl was 95.03% with a specificity of 2.73% and the PPV and NPV were 88.32% and 6.62%, respectively. The kappa agreement of WHO clinical stages was also insignificant when compared with the disaggregated CD4 counts in different categories. The correlation of WHO clinical staging was inversely associated with the CD4 count, and the magnitude of the correlation was 5.22%. CONCLUSIONS: The WHO clinical staging had high sensitivity but low specificity in predicting patients with CD4 count <200 cells/µl, <350 cells/µl, and <500 cells/µl. There was poor correlation and agreement between CD4 T-lymphocyte count and WHO clinical staging. Therefore, WHO clinical staging alone may not provide accurate information on the immunological status of patients, and hence, it is better to use the CDC definition rather than the WHO clinical definition.

Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study.

METHODS: The study involved a cross-sectional survey carried out from October 2015 to February 2016 among 1504 subjects aged from 18 to 75 years of age. Receiver operating characteristic (ROC) was used to select the most effective anthropometric cut-off point among waist circumference, waist-to-hip ratio, waist-to-height ratio, and BMI for identifying prediabetic and diabetes. Statistical significance was declared at p value of ≤0.05. RESULTS: Waist circumference was found better for identifying diabetes (AUC = 0.69) and prediabetes (AUC = 0.63) in women, respectively. Waist-to-hip ratio was better identifying diabetes (AUC = 0.67) while waist circumference-to-height ratio was better identifying prediabetes (AUC = 0.63) in men compared to body mass index. The optimal cut-off point with maximum sensitivity and specificity of waist circumference for identifying diabetes and prediabetes was 83.5 cm and 82.9 cm in women, respectively. The optimal ut-off point with maximum sensitivity and specificity of waist-to-hip ratio for identifying diabetes and prediabetes was 0.97 and 0.82 in men, respectively. CONCLUSION: Waist circumference and waist-to-hip ratio exhibited better discriminate performance than BMI for identifying prediabetes and diabetes in women and men, respectively.

Knowledge, Attitude, and Practices on Water, Sanitation, and Hygiene among Rural Residents in Tigray Region, Northern Ethiopia.

Background: Poor hygienic practices, inadequate water supply, and poor sanitary conditions play a major role in the spread of infectious diseases. Lack of knowledge, attitude, and practices (KAP) on WASH is one of the most imperative causes for transmission of infectious diseases. Therefore, the aim of this study was to assess knowledge, attitude, and practice of rural residents on water, sanitation, and hygiene in Tigray, Ethiopia. Methods: A community-based cross-sectional study was conducted from June to July 2018. Multistage cluster sampling technique was used to collect data from 759 households in Tigray region, Northern Ethiopia. A standardized questionnaire was used to collect data on knowledge, attitude, and practice on water, sanitation, and hygiene (WASH). Descriptive data analysis was done to present the study findings. Results: The response rate was 99.6%, and 574 (75.9%) of the respondents were females. Good knowledge, favorable attitude, and good practice on WASH were observed in 42.2% (95% CI: 38.7%, 45.7%), 48.5% (95% CI: 44.9%, 52.0%), and 49.2% (95% CI: 45.6%, 52.7%) of the respondents, respectively. Conclusions: Poor knowledge, unfavorable attitude, and poor practice on WASH were common amongst the residents in rural Tigray, Northern Ethiopia. Therefore, the health extension programs at primary health care should be revitalized in a way that can enhance the interventional measures to improve knowledge, attitude, and practice on WASH.