BPG is committed to discovery and dissemination of knowledge
Correspondence
Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Hepatol. May 27, 2026; 18(5): 115709
Published online May 27, 2026. doi: 10.4254/wjh.v18.i5.115709
Letter to the Editor: From prediction to prevention: Integrating nomograms and pathogen biology in multidrug-resistant pyogenic liver abscess
Marco Fiore
Marco Fiore, Department of Women, Child and General and Specialized Surgery, University of Campania “Luigi Vanvitelli”, Naples 80138, Italy
Author contributions: Fiore M wrote the paper.
Conflict-of-interest statement: The author declares no conflict of interest.
Corresponding author: Marco Fiore, MD, PhD, Lecturer, Professor, Department of Women, Child and General and Specialized Surgery, University of Campania “Luigi Vanvitelli”, Piazza Miraglia 2, Naples 80138, Italy. marco.fiore@unicampania.it
Received: October 24, 2025
Revised: January 2, 2026
Accepted: January 22, 2026
Published online: May 27, 2026
Processing time: 215 Days and 13 Hours
Core Tip

Core Tip: Xu et al proposed a bedside nomogram to estimate the probability of multidrug-resistant (MDR) Gram-negative pyogenic liver abscess (PLA) using five routinely available variables. This letter clarifies how such risk stratification can be operationalized at the bedside through concrete clinical scenarios, while arguing that prediction becomes clinically meaningful only when coupled to actionable pathways: Early imaging and source control, rapid resistance-gene testing where available, guideline-concordant empiric coverage in high-risk patients, and stewardship-driven de-escalation. Integrating host vulnerability with pathogen biology may allow hepatology services to move from delayed recognition to prevention-oriented management of MDR-PLA.

Write to the Help Desk