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ArticleAnnals of clinical microbiology and antimicrobials2025

Bacteriological profile and antimicrobial resistance in sepsis cases in intensive care units in Lubumbashi: challenges and perspectives.

Michel Muteya Manika, Aristophane Koffi Tano, Liévin Kalala Kapend'a, Floreance Mutomb Mujing'a, Christian Ngama Kakisingi, Serge Kapend Matanda, Ildéphonse Wa Mwanza Teta, Yves Banza Mukalay, Eric Ilunga Kasamba, Berthe Nsimire Barhayiga and 4 more

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Article in Annals of clinical microbiology and antimicrobials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Michel Muteya ManikaDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo. manikamichel@yahoo.fr.
Aristophane Koffi TanoInfectious Diseases Unit, Faculty of Medicine, Houphouët Boigny University, Abidjan, Ivory Coast.
Liévin Kalala Kapend'aDepartment of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, DR, Congo.
Floreance Mutomb Mujing'aDepartment of Biomedical Sciences, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Christian Ngama KakisingiDepartment of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, DR, Congo.
Serge Kapend MatandaDepartment of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, DR, Congo.
Ildéphonse Wa Mwanza TetaDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Yves Banza MukalayDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Eric Ilunga KasambaDepartment of Biomedical Sciences, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Berthe Nsimire BarhayigaDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Kinshasa, Kinshasa, DR, Congo.
Claude Mulumba MwambaDepartment of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, DR, Congo.
Albert Tambwe A Nkoy MwemboDepartment of Public Health, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Hippolyte Nani-Tuma SituakibanzaDepartment of Internal Medicine, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.
Rivain Fefe ItekeDepartment of Anesthesiology and Intensive Care, Faculty of Medicine, University of Lubumbashi, Lubumbashi, DR, Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis remains a major public health challenge, leading to high mortality and morbidity rates, particularly among low-income populations such as those in sub-Saharan Africa. Its management is complicated by the emergence of multidrug-resistant bacterial strains, necessitating microbiological surveillance and adaptation of antibiotic therapy. This study examines the microbiological profile of sepsis and the antibiotic susceptibility of pathogens among critically ill patients in Lubumbashi, Democratic Republic of Congo.

methodsA prospective study was conducted from January 2021 to December 2023 across three ICU units in Lubumbashi. Patients suspected of having sepsis were included, and microbiological samples were collected from various sources (blood, urine, pus, biological fluids). Bacterial identification and antibiotic susceptibility testing were performed according to Clinical and Laboratory Standards Institute (CLSI) guidelines. Data were analyzed using SPSS version 23

resultsAmong the 76 patients included, 40% had confirmed bacterial sepsis. The predominant isolates were Gram-negative bacilli (62.7%), with Escherichia coli (28.35%) and Klebsiella pneumoniae (22.73%) being the most common species. Gram-positive bacteria accounted for 33.89%, primarily coagulase-negative streptococci (15.11%) and Enterococcus faecium (5.61%). Antimicrobial resistance profiles revealed a high level of resistance to commonly used antibiotics, particularly cephalosporins, fluoroquinolones, and cotrimoxazole. However, greater sensitivity was observed with amikacin (41.3%), fosfomycin (37%), and meropenem (33.8%).

conclusionThis study highlights the high prevalence of Gram-negative bacteria and concerning resistance to first-line antibiotics, jeopardizing the effectiveness of empirical treatments. These findings underscore the urgency of strengthening microbiological surveillance, rationalizing antibiotic use, and implementing antimicrobial resistance control policies in the DRC. Developing treatment protocols tailored to local data and enforcing stricter antibiotic regulations are essential to improving sepsis management and reducing associated mortality.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialSepsisAdultAgedDemocratic Republic of the CongoDrug Resistance, Multiple, BacterialFemaleGram-Negative BacteriaGram-Positive BacteriaHumansIntensive Care UnitsMaleMicrobial Sensitivity TestsMiddle AgedAnti-Bacterial AgentsAntibioticsAntimicrobial resistanceGram-negative bacteriaIntensive care unitLubumbashiSepsis

Identifiers

PMID40671057
PMCPMC12265319

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LicenceCC BY-NC-ND
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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.