The epidemiology of antibiotic-resistant clinical pathogens in Uganda
Datos Bibliográficos
| ID | 19550832 |
|---|---|
| Autores | Ritah Namusoosa (0009-0001-2743-965X, Ministry of Health), Ibrahim Mugerwa (0000-0003-4462-2867, Ministry of Health), Keneth Iceland Kasozi (0000-0002-5763-7964, Kabale University), Allan Muruta (0009-0006-1353-8389, Ministry of Health), Grace Najjuka (0000-0001-6689-1502, Ministry of Health), Winifred D Atuhaire (Ministry of Health), Susan Nabadda (0000-0003-2357-2530, Ministry of Health), Henry Mwebesa (Ministry of Health), Charles Olaro (0000-0001-8731-7227, Ministry of Health), Isaac Ssewanyana (0000-0001-8605-2001, Ministry of Health), Aloysious Ssemaganda (0000-0003-4705-7912, Ministry of Health), Adrian Muwonge (0000-0002-8579-0384, Roslin Institute, autor de correspondencia) |
| Año | 2024 |
| Volumen | 14 |
| Páginas | 04184-04184 |
| Fecha de publicación | 2024-08-30 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of Global Health (JOURNAL) |
| Identificadores de la revista | ISSN: 2047-2978 • E-ISSN: 2047-2986 |
| Editorial | International Society of Global Health (PUBLISHER • GB) |
| DOI | 10.7189/jogh.14.04184 |
| PMID | 39212655 |
| OpenAlex | W4402055630 |
| Idioma | EN |
| Referencias citadas | 36 |
Background: Antibiotic resistance (ABR) is a global challenge, and its control depends on robust evidence primarily derived from surveillance systems. Methods: We utilised a national surveillance data set to demonstrate how such evidence can be systematically generated. In doing so, we characterised the ABR profiles of priority clinical pathogens, identified associated factors, and drew inferences on antibiotic usage in Uganda. Results: Of the 12 262 samples collected between 2019-21, we analysed 9033 with complete metadata. ABR was steadily increasing at a rate of 0.5% per year, with a surge in 2021 and the highest and lowest levels of penicillin and carbapenems detected in the northern (odds ratio (OR) = 2.26; P < 0.001) and the northeast (OR = 0.28; P < 0.001) regions of Uganda respectively. ABR was commonly observed with Escherichia coli (OR = 1.18; P < 0.001) and Klebsiella pneumoniae (OR = 1.25; P < 0.001) among older and male patients (61-70 years old) (OR = 1.88; P = 0.005). Multi-drug resistance (MDR) and ABR were disproportionately higher among bloodstream infections than respiratory tract infections and urinary tract infections, often caused by Acinetobacter baumannii. Co-occurrence of ABR suggests that cephalosporins such as ceftriaxone are in high use all over Uganda. Conclusions: ABR is indeed a silent pandemic, and our results suggest it is increasing at 0.5% per year, with a notable surge in 2021 likely due to coronavirus disease 2019 (COVID-19). Of concern, ABR and MDR are mainly associated with bloodstream and surgical wound infections, with a gender and age dimension. However, it is encouraging that carbapenem resistance remains relatively low. Such evidence is critical for contextualising the implementation and evaluation of national action plans
Antibiotic resistance · Antibiotics · Biology · Environmental health · Antibiotic Resistance in Bacteria · Antibiotic Use and Resistance · Medicine · Urinary Tract Infections Management · Epidemiology · Internal Medicine · Microbiology · Virology
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |