ABSTRACT
Background: Co-infection of Mycobacterium tuberculosis (MTB) and the Human Immunodeficiency Virus (HIV) is a major global public health issue, particularly in border areas of resource-limited nations, including Ethiopia. Objective: To explore the prevalence and associated variables of MTB/HIV co-infection among PTB presumptive patients in Northwest Ethiopia. Methods: From February to August 2021, a cross-sectional institutional investigation was conducted at the Metema and Abrehajira hospitals. Semi-structured questionnaires were used to collect socio-demographic and clinical data. The MTB/RIF Xpert assay was used to process sputum, and 3 ml of veins blood was collected for HIV rapid test (STAT-PAK, ABON, and SD BIOLINE HIV test algorithm) following the Ethiopian National HIV test algorithm. The Gene Xpert assay's sample processing control was checked to ensure data quality. Data entered into Epi-Data were exported to SPSS version 20 for analysis. Statistically significant variables (p-value ≤0.2) from bivariable analysis were included in multivariable analysis. A p-value ≤ 0.05 was judged statistically significant. Results: This study included 314 PTB presumptive patients with a median age of 35.0 years, of which 178 (56.69 %) were males. Among all patients, 40(12.7 %) and 51(16.2 %) were PTB, and HIV seropositivity, respectively. Of the PTB patients, 14/40 (35 %) (95 % CI: 24.4-45.6) were co-infected with HIV/AIDS. Married patients were 70 % less likely than unmarried individuals (AOR = 0.3 CI; 0.07-0.98) to have MTB/HIV co-infection. Patients who had contact history with MDR-TB patients (AOR = 5 CI; 1.37-18.00), and those who had a history of alcohol use (AOR = 12.2 CI; 2.56-57.8) were more likely to have MTB-HIV co-infection than their peers. Conclusion: Our findings showed that MTB-HIV co-infection is one of the most important community health concerns in the study area. Therefore, MTB/HIV cooperation activities should be fully in place to prevent co-infection and its impact on the population.
ABSTRACT
Introduction: Border areas are important sites for disseminating Mycobacterium tuberculosis among individuals living in such areas. This study examined patients with suspected pulmonary tuberculosis (PTB) visiting the Abrihajira and Metema hospitals in northwest Ethiopia to investigate the prevalence of rifampicin-resistant Mycobacterium tuberculosis (RR-MTB), multidrug-resistant Mycobacterium tuberculosis (MDR-MTB), and risk factors related to Mycobacterium tuberculosis infection. Methods: A hospital-based cross-sectional study was conducted from February to August 2021 among 314 PTB presumptive patients. Xpert MTB/RIF and line probe assays (LPA) were used to process sputum samples. Data were imported into the Epi-Data 3.1 program and exported to Statistical Package for the Social Sciences (SPSS) version 20.0 (SPSS, Chicago, IL, United States) to conduct the analysis. A logistic regression analysis was used to investigate the relationship between the dependent and independent variables. A value of p of <0.05 denoted statistical significance. Results: Of the total (314) PTB presumptive patients who participated in this study, 178 (56.69%) were men, and 165 (52.5%) were from 25 to 50 years of age with a median age of 35.00 (inter-quartile: 25-45 years). Among all patients, 12.7% had PTB by Gene Xpert and 7/314 (2.23%) were resistant to rifampicin. Among patients enrolled, 4/314 (1.27%) had MDR-MTB (resistant to RIF and INH) by LPA. Regarding the risk factors assessed, primary level of education, sputum production, night sweating, respiratory disorder, contact history of TB, history of MDR-MTB infection, history of alcohol use, and cigarette smoking showed statistical significance with the prevalence of PTB (p ≤ 0.05). Discussion: This study observed a high prevalence of PTB, RR-MTB, and MDR-MTB compared with many other previous studies conducted in Ethiopia. Among the assessed risk factors that could be associated with the prevalence of PTB, eight were statistically significant. This prevalence, resistance, and statistically significant variables are the evidence to which more emphasis should be given to the country's border areas.
