Evidence map›Paper›PMID 41938218›Full record

ArticleIJID regions2026

Epidemiological trends in bacterial resistance in diabetic foot infections across the COVID-19 timeline: a retrospective analysis.

Fabiana Giarritiello, Loredana Deflorio, Luigi Regenburgh De La Motte, Carmen Sommese, Sofia Benedetti, Enrico Brocco, Lorenzo Drago

Abstract read
In one paragraph

Article in IJID regions, 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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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

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fabiana GiarritielloDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, Campobasso, 86100, Italy.
Loredana DeflorioUOC Laboratory of Clinical Medicine with Specialized Areas, IRCCS MultiMedica, Milan, 20138, Italy.
Luigi Regenburgh De La MotteUOC Laboratory of Clinical Medicine with Specialized Areas, IRCCS MultiMedica, Milan, 20138, Italy.
Carmen SommeseInterdepartmental Medical Direction, IRCCS MultiMedica, Milan, 20138, Italy.
Sofia BenedettiUOC Laboratory of Clinical Medicine with Specialized Areas, IRCCS MultiMedica, Milan, 20138, Italy.
Enrico BroccoDiabetology and Diabetic Foot Unit, IRCCS MultiMedica, Sesto San Giovanni, Milan, 20099, Italy.
Lorenzo DragoUOC Laboratory of Clinical Medicine with Specialized Areas, IRCCS MultiMedica, Milan, 20138, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Diabetic foot infections (DFIs) are a major complication of diabetes mellitus and are frequently associated with multidrug-resistant (MDR) pathogens, contributing to increased morbidity and healthcare costs. Temporal variations in healthcare delivery and antibiotic use during recent years have raised concerns regarding potential changes in the epidemiology and antimicrobial resistance (AMR) profiles of DFIs. Methods: This retrospective epidemiological study analyzed 1748 bacterial isolates recovered from patients with DFIs treated at IRCCS MultiMedica (Milan, Italy) across three distinct periods: pre-COVID (June 2018-December 2019), COVID (January 2020-July 2022), and post-COVID (August 2022-June 2024). Microbiological identification and susceptibility testing were performed according to AMCLI and European Committee on Antimicrobial Susceptibility Testing guidelines. Statistical analyses were conducted using MedCalc software. Results: A progressive reduction in polymicrobial infections was observed, decreasing from 36.7% in the pre-COVID period to 29.1% in the post-COVID period. Methicillin-resistant Conclusions: Over a 6-year observation period, this study documents significant temporal variations in pathogen distribution and AMR patterns among DFIs. While reductions in selected resistance phenotypes were observed, resistance among Enterobacterales displayed heterogeneous and concerning trends. These findings highlight the dynamic nature of AMR in DFIs and support the need for continuous, long-term epidemiological surveillance to inform local antimicrobial management strategies.

Indexed as

Antibiotic stewardshipAntimicrobial resistanceCOVID-19Diabetic foot infectionsInfection controlMicrobial epidemiology

Identifiers

PMID41938218
PMCPMC13049285

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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.