Evidence map›Paper›PMID 41699524›Full record

ArticleBMC infectious diseases2026

Prevalence of wound infections and related antimicrobial resistance in Goma, Democratic Republic of the Congo: a multicenter cross-sectional study.

J M V Tshimbila Kabangu, Espérance Tsiwedi-Tsilabia, Faida-Kitoga, Jules Cizungu-Namugusha, Pascal Muhindo-Kabuyaya, Willy Arung Kalau, Pierrot Lundimu Tugirimana, Félicien Mushagalusa Kasali, Justin Kadima Ntokamunda, Daniel Mukadi-Bamuleka

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

J M V Tshimbila KabanguPlastic Surgeon, Department of Surgery, University of Goma, No 43, Rue Eugène SERUFULI, Quartier Katindo, Commune de Goma, Goma, North Kivu, Democratic Republic of the Congo. jmtkab@gmail.com.ORCID http://orcid.org/0000-0002-4781-7996
Espérance Tsiwedi-TsilabiaRodolphe Mérieux Institut National de Recherche Biomédicale Laboratory, Goma, North Kivu, Democratic Republic of the Congo.ORCID http://orcid.org/0009-0004-1374-4401
Faida-KitogaRodolphe Mérieux Institut National de Recherche Biomédicale Laboratory, Goma, North Kivu, Democratic Republic of the Congo.ORCID http://orcid.org/0009-0009-6625-5544
Jules Cizungu-NamugushaRodolphe Mérieux Institut National de Recherche Biomédicale Laboratory, Goma, North Kivu, Democratic Republic of the Congo.ORCID http://orcid.org/0009-0005-0134-1258
Pascal Muhindo-KabuyayaRodolphe Mérieux Institut National de Recherche Biomédicale Laboratory, Goma, North Kivu, Democratic Republic of the Congo.ORCID http://orcid.org/0009-0002-3696-2239
Willy Arung KalauDepartment of Surgery, Faculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.ORCID http://orcid.org/0000-0003-0315-2301
Pierrot Lundimu TugirimanaDepartment of Internal Medicine, Basic Sciences Unit, Faculty of Medicine, University of Goma, Goma, Democratic Republic of the Congo.ORCID http://orcid.org/0000-0002-1904-4885
Félicien Mushagalusa KasaliPharmacognosy Unit, Department of Pharmacy, Faculty of Pharmaceutical Sciences and Public Health, Université officielle de Bukavu, Democratic Republic of the Congo, Bukavu, Congo.ORCID http://orcid.org/0000-0001-5956-2110
Justin Kadima NtokamundaDepartment of Pharmacology and Therapeutics, Faculty of Pharmaceutical Sciences and Public Health, Université Officielle de Bukavu, Bukavu, Democratic Republic of the Congo.ORCID http://orcid.org/0000-0003-0395-7935
Daniel Mukadi-BamulekaRodolphe Mérieux Institut National de Recherche Biomédicale Laboratory, Goma, North Kivu, Democratic Republic of the Congo.ORCID http://orcid.org/0000-0002-6836-8704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe morbidity and mortality related to wound infections and microbial resistance are real public health concern in low-income settings where data are lacking, empirical antibiotic use is common and microbiological diagnostics are limited. This study aimed to describe the prevalence and antimicrobial resistance (AMR) patterns resulting from wound infections.

methodsWe conducted a one-year multicenter cross-sectional study across hospitals in Goma, Democratic Republic of the Congo. Consecutive patients with clinically infected wounds were enrolled. Wound swabs were processed using standard culture and susceptibility testing. Firth’s bias-reduced logistic regression was used to assess factors associated with surgical site infection (SSI) and AMR, with analyses stratified by Gram staining.

resultsMost patients were below 40 years old, with a median age of 27 years (IQR: 22–39), predominantly males (64.5%). Gunshot injuries (33.2%), road traffic accidents (24.5%) and cesarean section  (14.8%) were the leading cause of wounds. SSIs accounted for 21.25% of all clinically diagnosed infected wounds; they were significantly associated with female sex (OR = 3.65, 95% CI: 1.18–11.92, p = 0.03) and abdominal surgery (OR = 272.92, 95% CI: 85.66–1208.58, p < 0.001). In female patients, a high rate of SSIs was observed following cesarean section  (86.8%). Overall microbial swab cultures were negative in 21.0%. Among 18 isolated species, Gram-negative bacteria were predominant with Proteus mirabilis (24.1%), Pseudomonas aeruginosa (13.6%), and Escherichia coli (12.7%), as the leading pathogens. In Gram-stratified Firth models, empirical antibiotic therapy was not independently associated with increased in vitro AMR. Amikacin showed a protective association among Gram-negative isolates, while estimates for Gram-positive cocci were imprecise due to small sample size. Pseudomonas aeruginosa exhibited reduced susceptibility to multiple drug classes.

conclusionWound infections in Goma are largely linked to trauma and cesarean deliveries, with Gram-negative microorganisms dominating. The microbial ecology comprises ESKAPE pathogens and species known for their emerging resistance patterns such as Proteus mirabilis, Pseudomonas aeruginosa and Escherichia coli. Empirical antibiotic therapy was not independently associated with AMR after adjustment. These findings underscore the urgent need for enhanced diagnostic strategies, strengthened infection prevention measures, and effective antimicrobial stewardship in this resource-limited and conflict-affected setting.

Indexed as

BacteriaDrug Resistance, BacterialSurgical Wound InfectionWound InfectionAdultAnti-Bacterial AgentsCross-Sectional StudiesDemocratic Republic of the CongoFemaleHumansMaleMicrobial Sensitivity TestsPrevalenceYoung AdultAnti-Bacterial AgentsAntimicrobial resistanceCesarean sectionDemocratic Republic of CongoGomaSurgical site infectionTraumaWound infections

Identifiers

PMID41699524
PMCPMC13011371

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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.