The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer.

BACKGROUND: Lab-based surveillance (LBS) of antimicrobial resistance (AMR) is not systematically implemented in Uganda. We aimed to identify the gaps in establishing regular LBS of AMR in Uganda. METHODS: This was a retrospective records review. It was done at Mulago Hospital (MH) Microbiology Lab (MHL). It analyzed lab records on bacteria and their antimicrobial susceptibility profiles (ASPs) over 6 months. Since MH is the national referral hospital, we hypothesized that (1) MHL is the best resourced and that any limitations seen here are amplified in labs at regional referral hospitals (RRHs) and health centers (HCs); (2) data from MHL on LBS mirrors that from labs at RRHs and HCs; (3) the state of records from MHL show lab performance and the presence or absence of standard operating procedures (SOPs), as would be the case at RRHs and HCs. RESULTS: The lab got 1760 samples over the six months. The most common sample was urine (659, 37.4%). From the 1760 samples, data on 478 bacterial isolates were available. Urine gave the most isolates (159, 33.3%). Most of the isolates were gram-negative (267, 55.9%). Escherichia coli (100, 37%) was the most common gram-negative (of the Enterobacteriaceae). Pseudomonas aeruginosa (17, 6%) was the most common gram-negative (of the non-Enterobacteriaceae). The gram-negative bacteria were highly resistant to ß-lactams. These were highly sensitive to carbapenems. The Staphylococcus aureus were highly resistant to ß-lactams. The gram-positive bacteria were highly sensitive to vancomycin. ASPs for all bacterial categories were incomplete. CONCLUSIONS: The findings from MHL suggest that there is a need to improve antimicrobial susceptibility testing capacity. They also suggest that the situation at RRHs and HCs around the country could be worse. So, there is a need to extend the political will, which already exists, into operational and implementation action.

Transmission Dynamics of Antimicrobial Resistance at a National Referral Hospital in Uganda.

Reliable data on antimicrobial resistance (AMR) transmission dynamics in Uganda remains scarce; hence, we studied this area. Eighty-six index patients and "others" were recruited. Index patients were those who had been admitted to the orthopedic ward of Mulago National Referral Hospital during the study period; "others" included medical and non-medical caretakers of the index patients, and index patients' immediate admitted hospital neighbors. Others were recruited only when index patients became positive for carrying antimicrobial-resistant bacteria (ARB) during their hospital stay. A total of 149 samples, including those from the inanimate environment, were analyzed microbiologically for ARB, and ARB were analyzed for their antimicrobial susceptibility profiles and mechanisms underlying observed resistances. We describe the diagnostic accuracy of the extended-spectrum ß-lactamase (ESBL) production screening method, and AMR acquisition and transmission dynamics. Index patients were mostly carriers of ESBL-producing Enterobacteriaceae (PE) on admission, whereas non-ESBL-PE carriers on admission (61%) became carriers after 48 hours of admission (9%). The majority of ESBL-PE carriers on admission (56%) were referrals or transfers from other health-care facilities. Only 1 of 46 samples from the environment isolated an ESBL-PE. Marked resistance (> 90%) to ß-lactams and folate-pathway inhibitors were observed. The ESBL screening method's sensitivity, specificity, positive predictive value, and negative predictive value were 100%, 50%, 90%, and 100%, respectively. AMR acquisition and transmission occurs via human-human interfaces within and outside of health-care facilities compared with human-inanimate environment interfaces. However, this remains subject to further research.

Surveillance for Streptococcus pneumoniae meningitis in children aged <5 years: implications for immunization in Uganda.

Affordable pneumococcal conjugate vaccines will soon become available to developing countries through the Global Alliance for Vaccines and Immunization. Data on Streptococcus pneumoniae meningitis epidemiology in Uganda will assist decision makers in determining the best national vaccine policy. We reviewed acute bacterial meningitis surveillance data for children aged <5 years from 3 sentinel surveillance sites in 3 Ugandan districts collected from 2001 through 2006. Serotype and antibiotic-resistance testing were performed on pneumococcal isolates collected from 2005 through 2006 from the Kampala district in the tropical central region of Uganda. Minimum pneumococcal meningitis incidence estimates were calculated for a portion of the Kampala district and all of the Gulu district, where case ascertainment was more complete. At the 3 sites, 14,388 probable acute bacterial meningitis cases were observed. The most common cause identified was S. pneumoniae (n = 331; 35% of all confirmed cases), which had an overall case fatality ratio of 19%. Yearly pneumococcal meningitis incidence was 3-20 cases per 100,000 population in Kampala versus 28-42 cases per 100,000 population in Gulu. The most commonly identified serotypes were 6A/6B (40%); 43% of isolates were serotypes that are in the available 7-valent pneumococcal conjugate vaccine and 70% are in the proposed 13-valent pneumococcal vaccine. Twenty-five isolates (83%) had intermediate resistance to penicillin but none were fully resistant. Pneumococcal meningitis is common and severe in Uganda, indicating a role for the pneumococcal conjugate vaccine.