RESUMO
The emergence of antibiotic-resistant pathogens has threatened not only our ability to deal with common infectious diseases but also the management of life-threatening complications. Antimicrobial resistance (AMR) remains a significant threat in both industrialized and developing countries alike. In Africa, though, poor clinical care, indiscriminate antibiotic use, lack of robust AMR surveillance programs, lack of proper regulations and the burden of communicable diseases are factors aggravating the problem of AMR. In order to effectively address the challenge of AMR, antimicrobial stewardship programs, solid AMR surveillance systems to monitor the trend of resistance, as well as robust, affordable and rapid diagnostic tools which generate data that informs decision-making, have been demonstrated to be effective. However, we have identified a significant knowledge gap in the area of the application of fast and affordable diagnostic tools, surveillance, and stewardship programs in Africa. Therefore, we set out to provide up-to-date information in these areas. We discussed available hospital-based stewardship initiatives in addition to the role of governmental and non-governmental organizations. Finally, we have reviewed the application of various phenotypic and molecular AMR detection tools in both research and routine laboratory settings in Africa, deployment challenges and the efficiency of these methods.
RESUMO
Background: In Nigeria, effective case management and evaluation of pulmonary tuberculosis treatment outcomes are an integral part of controlling the spread of infectious diseases. The study reviewed the treatment outcomes of pulmonary tuberculosis and the factors associated with rates of successful and unsuccessful treatment outcomes in the 21 referral hospitals in Kebbi State, Nigeria. Methods: Documented records of pulmonary tuberculosis patients from January 2018 to December 2021 in 21 Local Area Councils in Kebbi State, Northern Nigeria were reviewed. A structured questionnaire collated the socio-demographic and clinical data from the documented records. Descriptive statistics were used to compute and analyse the outcomes of successful and unsuccessful treatment. Logistic regression models were used to determine the association of socio-demographic and clinical data with the unsuccessful treatment outcomes. Results: The study reviewed data from 6114 records of TB patients. 1161 (18.9%) started treatment, 963 (82.9%) were males and 198 (17.1%) were females. Of the 1161 patients, 985 (18.2%) had documented treatment outcomes. 932 of 985 (95.1%) had a pulmonary infection. 64 (5.8%) patients with documented treatment outcomes were HIV seropositive. 903 (91.7%) were successfully treated, and 82 (8.3%) failed. Of the patients with failed treatment outcomes, 15 (1.5%) were lost to follow-up, 43 (4.4%) defaulted and 24 (2.4%) died. In the logistic analysis, the odds of unsuccessful treatment outcomes were higher among elderly patients (AOR = 2.00, 95% CI 1.37-2.92), patients with extrapulmonary infections (AOR = 2.40, 95% CI 1.12-5.39), and with old cases of pulmonary TB (AOR = 3.03, 95% CI 1.47-7.19) when compared to their groups. Conclusions: The study reported a treatment success rate of 91.7% among TB patients attending public hospitals in Kebbi State. The outcome was higher than the projected success rate of 85% set by the WHO. However, one-fourth of the total patients reviewed were not documented for treatment. Therefore, the need to design an appropriate recruitment strategy to identify and enrol those patients for an effective and successful TB control program in Nigeria.