Prevalence and patterns of multidrug-resistant bacteria isolated from sputum samples of patients with bacterial pneumonia at a tertiary hospital in Tanzania

• DOI: 10.1186/s42269-024-01228-9
• Publication Date: 2024-07-24T08:16:22Z
• Authors: Doreen Kamori; Dominic Renatus; Ambele M. Mwandigha; Edgar Emmanuel; Salim S. Masoud; Vulstan Shedura; Upendo O. Kibwana; Joel Manyahi; Agricola Joachim; Mtebe Majigo
• Keywords: Bacterial pneumonia

Abstract Background Antimicrobial resistance affects the treatment of several bacterial infections, including pneumonia. This subsequently increased morbidity and mortality rates patients with pneumonia, especially in resource-limited settings. In this study, we aimed to determine patterns multidrug-resistant (MDR) bacteria isolated from sputum samples pneumonia attending a tertiary hospital Tanzania. Methodology A retrospective cross-sectional study was conducted. It involved reviewing laboratory data information system at Muhimbili National Hospital The were previously processed using standard methods (culture, Gram staining, biochemical tests) isolate identify bacteria. At same time, antibiogram profiles determined antimicrobial susceptibility tests. Bacterial isolates that expressed MDR identified. Demographic collected patients' medical records. We used chi-square test factors associated MDR. p-value < 0.05 considered significant. Results retrieved analysed 169 records provisional clinical diagnosis confirmed microbiology laboratory. Nearly 98% adult patients. patients’ mean age 48.3 years 17.3 deviations. About 84% Gram-negative; most predominant Klebsiella pneumoniae (59/142; 41.5%). Gram-positive Staphylococcus aureus (25/27; 92.6%). Furthermore, 80 out (47.3%) MDR; (32.5%) predominant. addition, 50% methicillin resistance. highly observed admitted Intensive Care Unit (p 0.05). Conclusions Although our limited by variations number subjected antibiotic drugs lack on risk such as occupation, smoking history, marital status, high proportion is caused Gram-negative local setting. These results inform need improve infection prevention control measures hospitals reduce burden settings other similar