Increasing trends of antibiotic resistance in Uganda: analysis of the national antimicrobial resistance surveillance data, 2018-2021

被引:0
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作者
Namubiru, Saudah [1 ]
Migisha, Richard [1 ]
Okello, Paul Edward [1 ]
Simbwa, Brenda [1 ]
Kabami, Zainah [1 ]
Agaba, Brian [1 ]
Zalwango, Jane Frances [1 ]
Naiga, Hellen Nelly [1 ]
Zalwango, Marie Gorreti [1 ]
Wanyana, Mercy Wendy [1 ]
Monje, Fred [1 ]
King, Patrick [1 ]
Kawungezi, Peter Chris [1 ]
Kiggundu, Thomas [1 ]
Ninsiima, Mackline [1 ]
Akunzirwe, Rebecca [1 ]
Namusosa, Rita [2 ,3 ]
Mugerwa, Ibrahim [2 ,3 ]
Winfred, Atuhaire D. [2 ,3 ]
Achola, Caroline [2 ,3 ]
Najjuka, Grace [2 ,3 ]
Bulage, Lilian [1 ]
Kwesiga, Benon [1 ]
Kadobera, Daniel [1 ]
Ario, Alex Riolexus [1 ]
Nabadda, Susan [2 ,3 ]
机构
[1] Uganda Natl Inst Publ Hlth, Uganda Publ Hlth Fellowship Program, Kampala, Uganda
[2] Minist Hlth, Natl Hlth Lab, Kampala, Uganda
[3] Minist Hlth, Diagnost Serv Dept, Kampala, Uganda
关键词
Antimicrobial resistance (AMR); Hospital-acquired infections; Low- to middle-income countries (LMICs); Multidrug-resistant organisms (MDRO); Antibiotic stewardship; Gram-positive organisms; Gram-negative organisms;
D O I
10.1186/s12879-024-09806-y
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background Continuous monitoring of antimicrobial resistance (AMR) in Uganda involves testing bacterial isolates from clinical samples at national and regional hospitals. Although the National Microbiology Reference Laboratory (NMRL) analyzes these isolates for official AMR surveillance data, there's limited integration into public health planning. To enhance the utilization of NMRL data to better inform drug selection and public health strategies in combating antibiotic resistance, we evaluated the trends and spatial distribution of AMR to common antibiotics used in Uganda. Methods We analyzed data from pathogenic bacterial isolates from blood, cerebrospinal, peritoneal, and pleural fluid from AMR surveillance data for 2018-2021. We calculated the proportions of isolates that were resistant to common antimicrobial classes. We used the chi-square test for trends to evaluate changes in AMR resistance over the study period. Results Out of 537 isolates with 15 pathogenic bacteria, 478 (89%) were from blood, 34 (6.3%) were from pleural fluid, 21 (4%) were from cerebrospinal fluid, and 4 (0.7%) were from peritoneal fluid. The most common pathogen was Staphylococcus aureus (20.1%), followed by Salmonella species (18.8%). The overall change in resistance over the four years was 63-84% for sulfonamides, fluoroquinolones macrolides (46-76%), phenicols (48-71%), penicillins (42-97%), beta-lactamase inhibitors (20-92%), aminoglycosides (17-53%), cephalosporins (8.3-90%), carbapenems (5.3-26%), and glycopeptides (0-20%). There was a fluctuation in resistance of Staphylococcus aureus to methicillin (60%-45%) (using cefoxitin resistance as a surrogate for oxacillin resistance) Among gram-negative organisms, there were increases in resistance to tetracycline (29-78% p < 0.001), ciprofloxacin (17-43%, p = 0.004), ceftriaxone (8-72%, p = 0.003), imipenem (6-26%, p = 0.004), and meropenem (7-18%, p = 0.03). Conclusion The study highlights a concerning increase in antibiotic resistance rates over four years, with significant increase in resistance observed across different classes of antibiotics for both gram-positive and gram-negative organisms. This increased antibiotic resistance, particularly to commonly used antibiotics like ceftriaxone and ciprofloxacin, makes adhering to the WHO's Access, Watch, and Reserve (AWaRe) category even more critical. It also emphasizes how important it is to guard against the growing threat of antibiotic resistance by appropriately using medicines, especially those that are marked for "Watch" or "Reserve."
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