Evidence map›Paper›PMID 42728957›Full record

ArticleWellcome open research2025

Exploring the evolution of multidrug resistance patterns in ESKAPEE pathogens using association mining: Key to antibiotic stewardship?

Sasikala Rajendran, Srimathy Ramachandran, Akilandeswari Ramu, Yashwenth S, Surya Murugan Ms, Vigneshwar Ramakrishnan, Suma Mohan S

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Article in Wellcome open research, 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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sasikala Rajendran *DBT-Bioinformatics Center, School of Chemical & Biotechnology, SASTRA Deemed to be University, Shanmugha Arts Science Technology and Research Academy, Thanjavur, Tamil Nadu, 613401, India.
Srimathy Ramachandran *DBT-Bioinformatics Center, School of Chemical & Biotechnology, SASTRA Deemed to be University, Shanmugha Arts Science Technology and Research Academy, Thanjavur, Tamil Nadu, 613401, India.
Akilandeswari Ramu *DBT-Bioinformatics Center, School of Chemical & Biotechnology, SASTRA Deemed to be University, Shanmugha Arts Science Technology and Research Academy, Thanjavur, Tamil Nadu, 613401, India.
Yashwenth SDBT-Bioinformatics Center, School of Chemical & Biotechnology, SASTRA Deemed to be University, Shanmugha Arts Science Technology and Research Academy, Thanjavur, Tamil Nadu, 613401, India.ORCID https://orcid.org/0009-0002-9033-5391
Surya Murugan MsDBT-Bioinformatics Center, School of Chemical & Biotechnology, SASTRA Deemed to be University, Shanmugha Arts Science Technology and Research Academy, Thanjavur, Tamil Nadu, 613401, India.
Vigneshwar RamakrishnanDBT-Bioinformatics Center, School of Chemical & Biotechnology, SASTRA Deemed to be University, Shanmugha Arts Science Technology and Research Academy, Thanjavur, Tamil Nadu, 613401, India.
Suma Mohan SDBT-Bioinformatics Center, School of Chemical & Biotechnology, SASTRA Deemed to be University, Shanmugha Arts Science Technology and Research Academy, Thanjavur, Tamil Nadu, 613401, India.ORCID https://orcid.org/0000-0001-7692-163X

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Shared Multidrug resistance (sMDR) is a major challenge in antimicrobial therapy, particularly among ESKAPEE pathogens, as these bacteria develop resistance to multiple antimicrobial agents via mutations, recombination, or gene transfer. These antimicrobial resistance (AMR) mechanisms evolve and require constant surveillance. Understanding sMDR patterns in large antimicrobial surveillance datasets is complex because of the multifaceted nature of the data. Methods: We explored Pfizer-Atlas (2004 - 2022) and Venatorx-GEARS (2018-2022) datasets from the Vivli platform, focusing on ESKAPEE pathogens. Descriptive data analysis, time-trend analysis, and association rule generation through the Apriori algorithm were performed using Python 3.10 libraries pandas, matplotlib, seaborn, scipy.stats, and mlxtend libraries. The best rule set that explored sMDR patterns was visualized in a network format using NetworkX: 3.2 package. Results: "MERIT- Multidrug ESKAPEE Resistance Insights and Tracker" dashboard was created for user-friendly visualization of antimicrobial surveillance datasets, trends in antimicrobial susceptibility profile (ASP) over years, interactive widgets to see the ASP by country and by pathogens, and Network to see significant rules as a result of association rule mining in categories by age, year and country. Conclusion: Time trend analysis revealed a decline in meropenem and piperacillin-tazobactam resistance to

Indexed as

AMRESKAPEEMERITshared MDRVivli AMR Data Challenge

Identifiers

PMID42728957
PMCPMC13560748

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