Evidence map›Paper›PMID 39471518›Full record

ArticleThe American journal of tropical medicine and hygiene2025

Microbiological Profile of Periprosthetic Joint Infections: A Retrospective Analysis from North India.

Souradeep Chowdhury, Sunit Sikdar, Rajesh Malhotra, Benu Dhawan

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Article in The American journal of tropical medicine and hygiene, 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

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Souradeep ChowdhuryDepartment of Medicine and Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Sunit SikdarDepartment of Medicine and Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Rajesh MalhotraDepartment of Orthopaedics, All India Institute of Medical Sciences, New Delhi, India.
Benu DhawanDepartment of Microbiology, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rise in total joint arthroplasties, prosthetic joint infections (PJIs) have become a significant complication, leading to high morbidity. The causative organisms of PJIs vary by region, and the rates of drug-resistant organisms are growing, thus complicating the initial empiric choice of antibiotics. This retrospective study analyzed records of patients with orthopedic implants and intraoperative tissue samples sent for sonication and culture at a tertiary care hospital in India. The most common organism was Staphylococcus aureus (14 out of 86 bacterial isolates, 16.3%), followed by Pseudomonas aeruginosa (12 out of 86, 13.9%), and both Staphylococcus epidermidis and Klebsiella pneumoniae (11 each out of 86, 12.8%). There was a high prevalence of multidrug-resistant organisms, and 35% of the gram-negative organisms were carbapenem resistant. Our study reveals that in our setting, PJIs are chiefly driven by multidrug resistant gram-negative bacteria.

Indexed as

Anti-Bacterial AgentsProsthesis-Related InfectionsAdultAgedDrug Resistance, Multiple, BacterialFemaleGram-Negative BacteriaHumansIndiaKlebsiella pneumoniaeMaleMicrobial Sensitivity TestsMiddle AgedPseudomonas aeruginosaRetrospective StudiesStaphylococcus aureusAnti-Bacterial Agents

Identifiers

PMID39471518
PMCPMC11720779

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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.