Evidence map›Paper›PMID 40863254›Full record

ArticleInfectious disease reports2025

Bedside Risk Scoring for Carbapenem-Resistant Gram-Negative Bacterial Infections in Patients with Hematological Malignancies.

Sare Merve Başağa, Ayşegül Ulu Kılıç, Zeynep Ture, Gökmen Zararsız, Serra İlayda Yerlitaş

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Article in Infectious disease reports, 2025. 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sare Merve BaşağaDepartment of Infectious Diseases, Eyüp Sultan State Hospital, İstanbul 34654, Türkiye.
Ayşegül Ulu KılıçDepartment of Infectious Diseases, Faculty of Medicine, Erciyes University, Kayseri 38039, Türkiye.
Zeynep TurePrivate Gürlife Hospital, Infectious Diseases Clinic, Eskişehir 26010, Türkiye.
Gökmen ZararsızDepartment of Biostatistics, School of Medicine, Erciyes University, Kayseri 38039, Türkiye.
Serra İlayda YerlitaşDepartment of Biostatistics, School of Medicine, Erciyes University, Kayseri 38039, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThis study aimed to create a 'carbapenem resistance score' with the risk factors of carbapenem-resistant Gram-negative bacterial infections (GNBIs) in patients with hematological malignancies.

methodsPatients with carbapenem-resistant and susceptible GNBIs were included in this study and compared in terms of risk factors. Three models of "carbapenem resistance risk scores" were created with statistically significant variables.

resultsThe study included 154 patients with hospital-acquired GNBIs, of whom 64 had carbapenem-resistant GNBIs and 90 had carbapenem-susceptible GNBIs. Univariate and multivariate analyses identified several statistically significant risk factors for carbapenem resistance, including transfer from another hospital or clinic (

conclusionsThis study successfully developed three practical risk-scoring models to predict carbapenem resistance in patients with hematological malignancies using common clinical risk factors. A cutoff score of >2.5 proved to be a reliable threshold for identifying high-risk patients across all models, providing clinicians with a valuable tool to guide appropriate empirical antibiotic therapy.

Indexed as

bedside scorecarbapenem resistancecarbapenem resistance scoreGram-negative infectionshematological malignancies

Identifiers

PMID40863254
PMCPMC12385919

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