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ORIGINAL RESEARCH article

Front. Pharmacol.

Sec. Predictive Toxicology

Volume 16 - 2025 | doi: 10.3389/fphar.2025.1555955

This article is part of the Research Topic Shaping the Future of Predictive Toxicology: Addressing Challenges and New Approach Methodologies View all articles

Risk of medication-induced lactic acidosis and hyperlactatemia: A pharmacovigilance study of the United States Food and Drug Administration's Adverse Event Reporting System database

Provisionally accepted
Houci Yang Houci Yang 1Haibin Dai Haibin Dai 1Xueying Chen Xueying Chen 1Jiaqi Huang Jiaqi Huang 1Fangzhou Miao Fangzhou Miao 1Jiali Zhang Jiali Zhang 1*Jiani Lv Jiani Lv 2*
  • 1 Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
  • 2 First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China

The final, formatted version of the article will be published soon.

    Objective: Lactic acidosis and hyperlactatemia (LAHL) are predictors of poor clinical outcomes in critically ill patients. This research aimed to specify medications reported in association with LAHL, thus providing valuable insights into medication safety.Methods: Spontaneous reports were excavated from the United States Food and Drug Administration's Adverse Event Reporting System (FAERS) database from Q1 2004 to Q2 2024. Adverse reaction signals of medication-induced lactic acidosis and hyperlactatemia (MILAHL) were detected by reporting odds ratio (ROR) and proportional reporting ratio (PRR).Results: 1,055 medications were identified as primary suspect medications of LAHL from Q1 2004 to Q2 2024, of which 180 were considered to have risk signals by ROR and 160 by PRR. Metformin (16,439 cases), linezolid (815 cases), amlodipine (646 cases), salbutamol (531 cases), and paracetamol (417 cases) were the top 5 medications with the most cases of LAHL. Among the top 50 medications with the strongest ROR and PRR signal, 16 were systemic antivirals, and 13 were antidiabetics (9 containing metformin). 23 of the top 50 medications with the strongest ROR and PRR signal did not indicate the risk of LAHL in the Summary of Product Characteristics (SmPC).This study listed high-risk medications by ROR and PRR analysis, especially those without an LAHL warning in SmPC, to help health professionals identify MILAHL in case of elevated lactate and enhance medication safety monitoring.

    Keywords: Lactic acidosis, Hyperlactatemia, Pharmacovigilance, FAERS, adverse reaction

    Received: 06 Jan 2025; Accepted: 24 Mar 2025.

    Copyright: © 2025 Yang, Dai, Chen, Huang, Miao, Zhang and Lv. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Jiali Zhang, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
    Jiani Lv, First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, 310003, Zhejiang Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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