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Antimicrobial Resistance Patterns in Infections Among Patients With Hematologic Malignancies: A Systematic Review
Tanveen Kaur Soni1, Abhishek Hanumanpratap Singh Kshatri2, Aysha Femy3
1Biotechnology, JIS University, Kolkata, IND.
Antimicrobial resistance poses a significant threat to patients with hematologic malignancies. Resistant Gram-negative pathogens are a major concern, necessitating improved surveillance and targeted therapies in hemato-oncology settings.
Area of Science:
- Hematology
- Infectious Diseases
- Oncology
Background:
- Patients with hematologic malignancies face high infection risks due to neutropenia and intensive treatments.
- Antimicrobial resistance (AMR) complicates infection management in this vulnerable population.
- International data on AMR patterns in hemato-oncology is synthesized to inform clinical practice.
Purpose of the Study:
- To systematically review pathogen distribution and AMR patterns in patients with hematologic malignancies.
- To analyze clinical outcomes associated with infections caused by resistant pathogens.
- To identify evidence gaps and inform future surveillance and treatment strategies.
Main Methods:
- Systematic literature search of PubMed, Scopus, and Google Scholar (2014-2025).
- Inclusion of studies with microbiologically confirmed infections and AMR data in hemato-oncology patients.
- Qualitative synthesis due to heterogeneity in study designs and data.
Main Results:
- Gram-negative bacteria were predominant pathogens, with regional variations.
- High prevalence of extended-spectrum β-lactamase (ESBL)-producing Enterobacterales (40-78%) and carbapenem-resistant Gram-negative bacteria reported.
- Resistant infections were associated with worse clinical outcomes, including higher mortality.
Conclusions:
- Antimicrobial resistance, especially from Gram-negative bacteria, is a critical issue in hematologic malignancies.
- Strengthened hemato-oncology-specific surveillance and local antibiogram-guided therapy are recommended.
- Standardized reporting of AMR phenotypes and outcomes is crucial for effective management.
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