Evidence map›Paper›PMID 42051708›Full record

ArticleFrontiers in medicine2026

Real-world evidence on predictors of antimicrobial resistance among patients with chronic liver disease.

Geetha Kandasamy, Lavanya Selvaraj, Khalid Orayj, Mona Almanasef, Rayah Asiri, Asma Alzaydani, Rahaf Abdullah Assiri, Divyadarshini Srikanth, Jeevan Krishnayya Ravikumar

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Article in Frontiers in medicine, 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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1 · What the graph read from it

What it found

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2 · The registry

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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

9 authors.

Geetha KandasamyDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Lavanya SelvarajDepartment of Pharmacy Practice, PSG College of Pharmacy, Peelamedu, Coimbatore, India.
Khalid OrayjDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Mona AlmanasefDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Rayah AsiriDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Asma AlzaydaniDepartment of Pharmacy, Rijal Almaa General Hospital, Ministry of Health (MOH), Rijal Almaa, Aseer, Saudi Arabia.
Rahaf Abdullah AssiriPharmacy Department, Aseer Central Hospital Abha, Abha, Saudi Arabia.
Divyadarshini SrikanthDepartment of Pharmacy Practice, PSG College of Pharmacy, Peelamedu, Coimbatore, India.
Jeevan Krishnayya RavikumarDepartment of Pharmacy Practice, PSG College of Pharmacy, Peelamedu, Coimbatore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic liver disease (CLD) predisposes patients to bacterial infections, with multidrug-resistant (MDR) pathogens posing significant challenges to clinical management and outcomes. Understanding the prevalence, resistance patterns, and predictors of MDR is essential for optimizing antimicrobial therapy. This study aimed to generate real-world evidence on the clinical, demographic, and healthcare-related predictors of antimicrobial resistance and to characterize local pathogen distribution and resistance patterns among patients with CLD in a tertiary care setting. Methods: This retrospective observational cohort study (February-August 2024) included adult patients with CLD and culture-positive bacterial infections from tertiary care hospitals in Coimbatore, India. Antimicrobial susceptibility patterns, including MIC50, MIC90, and trends, were analyzed using WHONET v5.6. Categorical and continuous variables were compared using Chi-square and Mann-Whitney Results: Among 317 patients with CLD, the mean age was 50.9 ± 10.4 years (median 50, IQR 44-59), and 83.9% were male. Single-organism infections accounted for 76.0%, and 56.5% were community-acquired. Discussion: MDR infections are highly prevalent among patients with CLD, predominantly driven by Gram-negative pathogens such as

Indexed as

antibiotic susceptibilityantimicrobial resistancechronic liver diseasegram-negative bacteriagram-positive bacteriamultidrug resistancepredictorsreal-world evidence

Identifiers

PMID42051708
PMCPMC13111016

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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.