Evidence map›Paper›PMID 41820858›Full record

ArticleBMC infectious diseases2026

Temporal dynamics and predictors of carbapenem-resistant gram-negative bacteria in bloodstream infections in hematological patients.

Meyha Sahin, Ali Mert, Ayse Istanbullu Tosun, Ezgi Yilmaz, Hüseyin Saffet Bekoz, Leylagul Kaynar, Bahadir Ceylan

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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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Meyha SahinDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Istanbul Medipol University, TEM Avrupa Otoyolu Göztepe Çıkışı No:1, Bağcılar, Istanbul, 34214, Türkiye. meyha.sahin@medipol.edu.tr.
Ali MertDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Istanbul Medipol University, TEM Avrupa Otoyolu Göztepe Çıkışı No:1, Bağcılar, Istanbul, 34214, Türkiye.
Ayse Istanbullu TosunDepartment of Microbiology, Faculty of Medicine, Istanbul Medipol University, Istanbul, Türkiye.
Ezgi YilmazDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Istanbul Medipol University, TEM Avrupa Otoyolu Göztepe Çıkışı No:1, Bağcılar, Istanbul, 34214, Türkiye.
Hüseyin Saffet BekozDepartment of Hematology, Faculty of Medicine, Istanbul Medipol University, Istanbul, Türkiye.
Leylagul KaynarDepartment of Hematology, Faculty of Medicine, Istanbul Medipol University, Istanbul, Türkiye.
Bahadir CeylanDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Istanbul Medipol University, TEM Avrupa Otoyolu Göztepe Çıkışı No:1, Bağcılar, Istanbul, 34214, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBloodstream infections (BSIs) caused by carbapenem-resistant (CR) Gram-negative bacteria (GNB) represent a critical challenge in febrile neutropenia (FN). This study investigated temporal resistance trends, clinical features, and predictors of CR-GNB BSIs in hematology patients over a 10-year period.

methodsA retrospective cohort analysis was conducted on GNB BSIs in febrile neutropenic patients hospitalized between 2014 and 2025. Microbiologic, demographic, and clinical data were collected and analyzed.

resultsA total of 604 patients with hematologic malignancies experienced 975 FN episodes with microbiologically confirmed BSIs, yielding 1096 isolates. Of these episodes, 57.5% occurred in males, with a median patient age of 49.5 years (IQR: 34–60.5). GNB accounted for 732 (66.9%) isolates. Among all GN isolates, 22.8% were CR-GNB. CR-GNB BSIs were significantly more common during Period 1 (OR: 0.492; 95% CI: 0.277–0.876 for Period 2; OR: 0.496; 95% CI: 0.285–0.864 for Period 3; OR: 0.455; 95% CI: 0.258–0.804 for Period 4). Independent predictor factors for CR-GNB BSIs included prior CRE colonization or infection within the last year (OR: 3.723; 95% CI: 2.218–6.251), intravenous antibiotic use within the preceding three months (OR: 1.825; 95% CI: 1.076–3.094), and geographic origin from Asia (OR: 2.308; 95% CI: 1.065–5.002).

conclusionsOur findings highlight a reduction in both carbapenem resistance and mortality over time, reflecting improvements in antimicrobial stewardship and infection control. Patients with recent antibiotic exposure or prior CRE colonization at high risk and warrant close monitoring and early targeted therapy. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Anti-Bacterial AgentsBacteremiaCarbapenemsGram-Negative BacteriaGram-Negative Bacterial InfectionsHematologic NeoplasmsAdultFebrile NeutropeniaFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedRetrospective StudiesAnti-Bacterial AgentsCarbapenemsBloodstream infectionCarbapenem resistanceFebrile neutropeniaGram-negative bacteria

Identifiers

PMID41820858
PMCPMC13097973

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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.