Evidence map›Paper›PMID 38783175›Full record

ArticleBMC infectious diseases2024

Carbapenem-resistant gram-negative bacterial infections and risk factors for acquisition in a Kenyan intensive care unit.

Jane Wairimu Maina, Jeniffer Munyiva Mutua, Abednego Moki Musyoki

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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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

3 authors.

Jane Wairimu MainaDepartment of Medical Laboratory, The Nairobi West Hospital, Nairobi, P.O BOX 43375-00100, Kenya.
Jeniffer Munyiva MutuaDepartment of Laboratory Medicine, Kenyatta National Hospital, Nairobi, P.O Box 20723-00202, Kenya.
Abednego Moki MusyokiDepartment of Medical Laboratory Sciences, Kenyatta University, Nairobi, P.O BOX 43844-00100, Kenya. musyoki.abednego@ku.ac.ke.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbapenem-resistant Gram-negative bacteria (CR-GNB) are a critical public health threat globally; however, there are inadequate surveillance data, especially in intensive care units (ICU), to inform infection prevention and control in many resource-constrained settings. Here, we assessed the prevalence of CR-GNB infections and risk factors for acquisition in a Kenyan ICU.

methodsA hospital-based cross-sectional study design was adopted, recruiting 162 patients clinically presenting with bacterial infection after 48 h of ICU admission, from January to October 2022 at the Nairobi West Hospital, Kenya. Demographics and clinical data were collected by case report form. The type of sample collected, including blood, tracheal aspirate, ascitic tap, urine, stool, and sputum depended on the patient's clinical presentation and were transported to the hospital Microbiology laboratory in a cool box for processing within 2 h. The samples were analyzed by cultured and BD Phoenix system used for isolates' identity and antimicrobial susceptibility.

resultsCR-GNB infections prevalence was 25.9% (42/162), with Klebsiella pneumoniae (35.7%, 15/42) and Pseudomonas aeruginosa (26.2%, 11/42) predominating. All isolates were multidrug-resistant (MDR). P. aeruginosa and A. baumannii were 100% colistin-resistant, while K. pneumoniae (33.3%) was tigecycline-resistant. History of antibiotics (aOR = 3.40, p = 0.005) and nasogastric tube (NGT) use (aOR = 5.84, p = < 0.001) were the risk factors for infection.

conclusionOur study highlights high MDR- and CR-GNB infections in ICU, with prior antibiotic exposure and NGT use as risk factors, and diminishing clinical value of colistin and tigecycline. In this study setting and beyond, strict implementation of antimicrobial stewardship programs and adherence to infection prevention and control through monitoring, evaluation and feedback are warranted to curb CR-GNB infections, especially among the risk groups.

Indexed as

Anti-Bacterial AgentsCarbapenemsGram-Negative BacteriaGram-Negative Bacterial InfectionsIntensive Care UnitsAdultAgedCross InfectionCross-Sectional StudiesFemaleHumansKenyaKlebsiella pneumoniaeMaleMicrobial Sensitivity TestsMiddle AgedAnti-Bacterial AgentsCarbapenemsCarbapenem-resistant Gram-negative bacteriaMultidrug resistanceMultiple antibiotic resistance indexRisk factors

Identifiers

PMID38783175
PMCPMC11118991

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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.