Evidence map›Paper›PMID 39251894›Full record

ArticleBMC infectious diseases2024

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

Saudah Namubiru, Richard Migisha, Paul Edward Okello, Brenda Simbwa, Zainah Kabami, Brian Agaba, Jane Frances Zalwango, Hellen Nelly Naiga, Marie Gorreti Zalwango, Mercy Wendy Wanyana and 16 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. Trends of Antibiotic Resistance in ESKAPE Pathogens in Mbarara Regional Referral Hospital (2015-2022), South Western, Uganda.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Saudah NamubiruUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda. saudahnam@gmail.com.
Richard MigishaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Paul Edward OkelloUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Brenda SimbwaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Zainah KabamiUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Brian AgabaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Jane Frances ZalwangoUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Hellen Nelly NaigaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Marie Gorreti ZalwangoUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Mercy Wendy WanyanaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Fred MonjeUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Patrick KingUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Peter Chris KawungeziUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Thomas KiggunduUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Mackline NinsiimaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Rebecca AkunzirweUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Rita NamusosaNational Health Laboratory and Diagnostic Services Department, Ministry of Health, Kampala, Uganda.
Ibrahim MugerwaNational Health Laboratory and Diagnostic Services Department, Ministry of Health, Kampala, Uganda.
Atuhaire D WinfredNational Health Laboratory and Diagnostic Services Department, Ministry of Health, Kampala, Uganda.
Caroline AcholaNational Health Laboratory and Diagnostic Services Department, Ministry of Health, Kampala, Uganda.
Grace NajjukaNational Health Laboratory and Diagnostic Services Department, Ministry of Health, Kampala, Uganda.
Lilian BulageUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Benon KwesigaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Daniel KadoberaUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Alex Riolexus ArioUganda Public Health Fellowship Program, Uganda National Institute of Public Health, Kampala, Uganda.
Susan NabaddaNational Health Laboratory and Diagnostic Services Department, Ministry of Health, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous 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.

methodsWe 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.

resultsOut 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%), β-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).

conclusionThe 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."

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialBacteriaBacterial InfectionsGram-Negative BacteriaHumansMicrobial Sensitivity TestsUgandaAnti-Bacterial AgentsAntibiotic stewardshipAntimicrobial resistance (AMR)Gram-negative organismsGram-positive organismsHospital-acquired infectionsLow- to middle-income countries (LMICs)Multidrug-resistant organisms (MDRO)

Identifiers

PMID39251894
PMCPMC11382488

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.