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Background Tuberculosis, along with HIV, is the leading cause of mortality and morbidity globally. Despite the fact that several primary studies have been conducted on the incidence rate of tuberculosis in HIV-infected people in Sub-Saharan Africa, the regional-level tuberculosis incidence rate remains unknown. The objective of this study is to determine the tuberculosis incidence rate and its associated factors in HIV-infected people in Sub-Saharan Africa. Methods A systematic review and meta-analysis were conducted by searching four databases for studies published in English between January 1, 2000, and November 25, 2022. The study was carried out using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. To assess the quality of the studies, the Joanna Briggs Institute critical appraisal checklist was used. A random-effects model meta-analysis was used to determine the pooled incidence of tuberculosis using STATA version 15. The I2 heterogeneity test was used to assess heterogeneity. Subgroup and sensitivity analyses were performed. Funnel plots and Egger’s regression tests were used to investigate publication bias. The pooled estimate predictors of tuberculosis incidence rate with a 95% confidence interval were also determined using the hazard ratio of each factor (HR). Results Out of a total of 3339 studies, 43 were included in the analysis. The overall pooled incidence rate of tuberculosis in HIV-infected people was 3.49 per 100 person-years (95% CI: 2.88–4.17). In the subgroup analysis, the pooled incidence rate of tuberculosis in HIV-infected children was 3.42 per 100 person-years (95% CI: 1.78, 5.57), and it was 3.79 per 100 person-years (95% CI: 2.63, 5.15) in adults. A meta-analysis revealed that underweight (AHR = 1.79, 95% CI: 1.61–1.96), low CD4 count (AHR = 1.23, 95% CI: 1.13–1.35), male gender (AHR = 1.43, 95% CI: 1.22–1.64), advanced WHO clinical stages (AHR = 2.29, 95% CI: 1.34–3.23), anemia (AHR = 1.73, 95% CI: 1.34–2.13), bedridden or ambulatory (AHR = 1.87, 95%), lack of isoniazid preventive therapy (AHR = 3.32, 95% CI: 1.08–2.28), and lack of cotrimoxazole (AHR = 1.68, 95% CI: 1.08–2.28) were risk factors for tuberculosis incidence. HIV patients who received antiretroviral therapy had a 0.53 times higher risk of acquiring tuberculosis than HIV patients who did not receive antiretroviral therapy (AHR = 0.53; 95% CI: 0.3–0.77). Conclusion In this systematic review and meta-analysis study, the incidence rate of tuberculosis among HIV-positive people was higher than the WHO 2022 Africa regional estimated report. To reduce the incidence of tuberculosis among HIV patients, HIV patients should take isoniazid prevention therapy (IPT), cotrimoxazole prophylaxis, and antiretroviral therapy (ART) without interruption, as well as increase the frequency and diversity of their nutritional intake. Active tuberculosis screening should be increased among HIV-infected people.
Background Tuberculosis, along with HIV, is the leading cause of mortality and morbidity globally. Despite the fact that several primary studies have been conducted on the incidence rate of tuberculosis in HIV-infected people in Sub-Saharan Africa, the regional-level tuberculosis incidence rate remains unknown. The objective of this study is to determine the tuberculosis incidence rate and its associated factors in HIV-infected people in Sub-Saharan Africa. Methods A systematic review and meta-analysis were conducted by searching four databases for studies published in English between January 1, 2000, and November 25, 2022. The study was carried out using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. To assess the quality of the studies, the Joanna Briggs Institute critical appraisal checklist was used. A random-effects model meta-analysis was used to determine the pooled incidence of tuberculosis using STATA version 15. The I2 heterogeneity test was used to assess heterogeneity. Subgroup and sensitivity analyses were performed. Funnel plots and Egger’s regression tests were used to investigate publication bias. The pooled estimate predictors of tuberculosis incidence rate with a 95% confidence interval were also determined using the hazard ratio of each factor (HR). Results Out of a total of 3339 studies, 43 were included in the analysis. The overall pooled incidence rate of tuberculosis in HIV-infected people was 3.49 per 100 person-years (95% CI: 2.88–4.17). In the subgroup analysis, the pooled incidence rate of tuberculosis in HIV-infected children was 3.42 per 100 person-years (95% CI: 1.78, 5.57), and it was 3.79 per 100 person-years (95% CI: 2.63, 5.15) in adults. A meta-analysis revealed that underweight (AHR = 1.79, 95% CI: 1.61–1.96), low CD4 count (AHR = 1.23, 95% CI: 1.13–1.35), male gender (AHR = 1.43, 95% CI: 1.22–1.64), advanced WHO clinical stages (AHR = 2.29, 95% CI: 1.34–3.23), anemia (AHR = 1.73, 95% CI: 1.34–2.13), bedridden or ambulatory (AHR = 1.87, 95%), lack of isoniazid preventive therapy (AHR = 3.32, 95% CI: 1.08–2.28), and lack of cotrimoxazole (AHR = 1.68, 95% CI: 1.08–2.28) were risk factors for tuberculosis incidence. HIV patients who received antiretroviral therapy had a 0.53 times higher risk of acquiring tuberculosis than HIV patients who did not receive antiretroviral therapy (AHR = 0.53; 95% CI: 0.3–0.77). Conclusion In this systematic review and meta-analysis study, the incidence rate of tuberculosis among HIV-positive people was higher than the WHO 2022 Africa regional estimated report. To reduce the incidence of tuberculosis among HIV patients, HIV patients should take isoniazid prevention therapy (IPT), cotrimoxazole prophylaxis, and antiretroviral therapy (ART) without interruption, as well as increase the frequency and diversity of their nutritional intake. Active tuberculosis screening should be increased among HIV-infected people.
Introduction Sexual behaviour needs to take a central position in the heart of public health policy makers and researchers. This is important in view of its association with Sexually Transmitted Infections (STIs), including HIV. Though the prevalence of HIV/AIDS is declining in Ethiopia, the country is still one of the hardest hit in the continent of Africa. Hence, this study was aimed at identifying hot spot areas and associated factors of risky sexual behavior (RSB). This would be vital for more targeted interventions which can produce a sexually healthy community in Ethiopia. Methods In this study, a cross-sectional survey study design was employed. A further analysis of the 2016 Ethiopia Demographic and Health Survey data was done on a total weighted sample of 10,518 women and men age 15–49 years. ArcGIS version 10.7 and Kuldorff’s SaTScan version 9.6 software were used for spatial analysis. Global Moran’s I statistic was employed to test the spatial autocorrelation, and Getis-Ord Gi* as well as Bernoulli-based purely spatial scan statistics were used to detect significant spatial clusters of RSB. Mixed effect multivariable logistic regression model was fitted to identify predictors and variables with a p-value ≤0.05 were considered as statistically significant. Result The study subjects who had RSB were found to account about 10.2% (95% CI: 9.64%, 10.81%) of the population, and spatial clustering of RSB was observed (Moran’s I = 0.82, p-value = 0.001). Significant hot spot areas of RSB were observed in Gambela, Addis Ababa and Dire Dawa. The primary and secondary SaTScan clusters were detected in Addis Ababa (RR = 3.26, LLR = 111.59, P<0.01), and almost the entire Gambela (RR = 2.95, LLR = 56.45, P<0.01) respectively. Age, literacy level, smoking status, ever heard of HIV/AIDS, residence and region were found to be significant predictors of RSB. Conclusion In this study, spatial clustering of risky sexual behaviour was observed in Ethiopia, and hot spot clusters were detected in Addis Ababa, Dire Dawa and Gambela regions. Therefore, interventions which can mitigate RSB should be designed and implemented in the identified hot spot areas of Ethiopia. Interventions targeting the identified factors could be helpful in controlling the problem.
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