老年精神病学
医学
精神科
抗抑郁药
药店
临床药学
家庭医学
临床精神病学
老年病科
抗抑郁药
老年学
梅德林
年龄组
作者
M. Houix,Alexis Lepetit,Christophe Arbus,Sophie Armand-Branger,Sylvie Bonin-Guillaume,Benjamin Calvet,Mathieu Corvaisier,Ismaël Conejero,Anne-Laure Debruyne,Sandrine Louchart de la Chapelle,Gérald Deschietere,Thomas Desmidt,Jean‐Michel Dorey,O. Drunat,Jean‐Pascal Fournier,Quentin Gallet,J. Gauillard,C. Hanon,N. Hoertel,Ilia Humbert
标识
DOI:10.1192/j.eurpsy.2026.12206
摘要
BACKGROUND: Late-life depression refers to a depression occurring in older adults, defined as individuals aged 65 years and older. It is common and often mismanaged due to complex clinical profiles, polypharmacy, and limited evidence-based guidance. Existing tools poorly address psychiatric nuances in older adults. This work aims to develop French recommendations based on experts' consensus on the use of antidepressants in unipolar late-life depression, to guide safer prescribing practices. METHODS: This tool was developed using a Delphi survey, based on a review of literature published between 2014 and 2024 and focused on "antidepressants" and "late-life depression" Experts from various fields: geriatric psychiatry, clinical pharmacy and general practice, rated items using a 9-point Likert scale. Items with a median score ≥ 7 and at least 80% agreement were validated and included in the final version of the tool. RESULTS: Twenty to 23 experts per round, different from the authors of the proposed items, participated in a four-round Delphi process. The resulting tool includes 57 validated items across 10 sections and a stepped-care algorithm for treating major depression in older adults. It addresses drug choice, dosing, monitoring, comorbidities, and treatment resistance, prioritizing safe first-line options like sertraline, citalopram, and escitalopram. CONCLUSION: A Delphi survey involving multidisciplinary experts led to a French consensus tool for prescribing antidepressants in unipolar late-life depression. It integrates clinical evidence and expert judgment to address treatment complexity, drug safety, and resistance. The tool offers practical, stepwise recommendations tailored to primary care, aiming to optimize antidepressant use, reduce iatrogenesis, and improve patient outcomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI