Evidence map›Paper›PMID 41792596›Full record

ArticleBMC microbiology2026

Antimicrobial resistance patterns and carbapenemase gene distribution in pediatric Pseudomonas aeruginosa isolates: molecular and epidemiological insights from an Iranian referral center.

Erfaneh Jafari, Babak Pourakbari, Mohammad Reza Asadi Karam, Reza Azizian, Maryam Sotoudeh Anvari, Setareh Mamishi

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Article in BMC microbiology, 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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5 · Who and what money

Authors and funding

6 authors.

Erfaneh JafariPediatric Infectious Diseases Research Center (PIDRC), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Babak PourakbariPediatric Infectious Diseases Research Center (PIDRC), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Mohammad Reza Asadi KaramDepartment of Molecular Biology, Pasteur Institute of Iran, Tehran, Iran.
Reza AzizianPediatric Infectious Diseases Research Center (PIDRC), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Maryam Sotoudeh AnvariDepartment of Pathology, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Setareh MamishiPediatric Infectious Diseases Research Center (PIDRC), Tehran University of Medical Sciences (TUMS), Tehran, Iran. smamishi@sina.tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance in Pseudomonas aeruginosa represents a major challenge in pediatric healthcare, yet molecular epidemiological data from children in the Middle East are limited. This study aimed to characterize antimicrobial resistance patterns, carbapenemase gene profiles, and transmission dynamics in a tertiary pediatric hospital in Iran.

methodsWe analyzed 110 P. aeruginosa isolates from pediatric patients (December 2023-August 2024) using disk diffusion susceptibility testing, PCR detection of carbapenemase genes (blaIMP, blaKPC, blaNDM, blaOXA, blaSIM, blaSPM, and blaVIM), and RAPD-PCR genotyping. Multivariate logistic regression analysis was used to identify predictors of resistance.

resultsCarbapenem resistance (CR) affected 40.9% of isolates, with 37.3% multidrug-resistant (MDR) and 10.0% extensively drug-resistant. Among CR isolates, blaVIM (68.9%) and blaNDM (55.6%) predominated, with 49.1% harboring multiple carbapenemase genes. Age was a significant predictor of antimicrobial resistance (p < 0.05 for most antibiotics). Children < 5 years demonstrated significantly lower resistance compared to those > 10 years, with the strongest associations observed for fluoroquinolones (ciprofloxacin: AOR = 0.046 (CI: 0.010–0.212), p < 0.001; norfloxacin: AOR = 0.061 (CI: 0.013–0.283), p = 0.002) and some β-lactams (meropenem: AOR = 0.196 (CI: 0.062–0.623), p = 0.021). Gender showed no significant association with resistance across all antibiotics tested (p > 0.05). Gene coexistence was a significant predictor for β-lactams (imipenem: AOR = 1.968 (CI: 1.314–2.946), p = 0.001). RAPD-PCR revealed 23 genetic clusters, with ward-specific clustering patterns suggesting nosocomial transmission, particularly in intensive care units (ICUs).

conclusionThis study demonstrates an alarming burden of carbapenemase-producing P. aeruginosa among Iranian pediatric patients, with age-dependent antibiotic resistance, frequent co-existence of carbapenemase genes suggesting horizontal gene transfer, and ward-specific genetic clustering consistent with nosocomial transmission. These observations underscore the necessity for age-focused therapeutic strategies, intensified ICU surveillance, and targeted antimicrobial stewardship.

Indexed as

Bacterial Proteinsbeta-LactamasesPseudomonas aeruginosaPseudomonas InfectionsAdolescentAnti-Bacterial AgentsCarbapenemsChildChild, PreschoolDrug Resistance, Multiple, BacterialFemaleGenotypeHumansInfantIranMaleAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasescarbapenemaseCarbapenemsCarbapenem resistanceChildrenGenotypingMulti-drug resistancePseudomonas aeruginosa

Identifiers

PMID41792596
PMCPMC13078054

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