使用抗精神病药、抗抑郁药和情绪稳定剂进行体重增加相关治疗后,哪些人有体重增加的风险?机器学习方法

IF 5.3 2区 医学 Q1 PSYCHIATRY Acta Psychiatrica Scandinavica Pub Date : 2024-04-01 DOI:10.1111/acps.13684
Julia Eder, Catherine Glocker, Barbara Barton, Elif Sarisik, David Popovic, Jana Lämmermann, Alexandra Knaf, Anja Beqiri-Zagler, Katharina Engl, Leonie Rihs, Lisa Pfeiffer, Andrea Schmitt, Peter Falkai, Maria S Simon, Richard Musil
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引用次数: 0

摘要

背景:体重增加是精神药理学中常见的副作用;然而,目前在日常临床实践中缺乏有针对性的治疗干预和预防策略。为了促进此类策略的制定,识别表明患者存在风险的因素至关重要:在这项研究中,我们使用并比较了决策树分类器、逻辑回归、XGboost 和支持向量机,建立了一个跨诊断模型,用于预测 103 名精神病住院患者在接受与体重增加相关的精神药物治疗的前 4 周内体重增加≥5% 的情况。我们纳入了文献中已确定的变量以及包含额外临床变量和调查问卷的扩展变量集:结果:基线体重指数、病前体重指数和年龄是已知的风险因素,我们的模型也证实了这一点。此外,腰围也是一个新的重要风险因素。饮食行为和血糖被认为是另一个潜在的预测因素,可能是治疗干预的基础,可用于精神药物诱发体重增加(PIWG)风险人群的预防策略:我们的模型验证了现有的研究结果,并进一步发现了以前未知的可调节因素,如饮食行为和血糖,这些因素可作为预防策略的目标。这些发现强调了在这一领域继续开展研究的必要性,以便为接受精神药物治疗的患者制定有效的预防措施。
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Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach.

Background: Weight gain is a common side effect in psychopharmacology; however, targeted therapeutic interventions and prevention strategies are currently absent in day-to-day clinical practice. To promote the development of such strategies, the identification of factors indicative of patients at risk is essential.

Methods: In this study, we developed a transdiagnostic model using and comparing decision tree classifiers, logistic regression, XGboost, and a support vector machine to predict weight gain of ≥5% of body weight during the first 4 weeks of treatment with psychotropic drugs associated with weight gain in 103 psychiatric inpatients. We included established variables from the literature as well as an extended set with additional clinical variables and questionnaires.

Results: Baseline BMI, premorbid BMI, and age are known risk factors and were confirmed by our models. Additionally, waist circumference has emerged as a new and significant risk factor. Eating behavior next to blood glucose were found as additional potential predictor that may underlie therapeutic interventions and could be used for preventive strategies in a cohort at risk for psychotropics induced weight gain (PIWG).

Conclusion: Our models validate existing findings and further uncover previously unknown modifiable factors, such as eating behavior and blood glucose, which can be used as targets for preventive strategies. These findings underscore the imperative for continued research in this domain to establish effective preventive measures for individuals undergoing psychotropic drug treatments.

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来源期刊
Acta Psychiatrica Scandinavica
Acta Psychiatrica Scandinavica 医学-精神病学
CiteScore
11.20
自引率
3.00%
发文量
135
审稿时长
6-12 weeks
期刊介绍: Acta Psychiatrica Scandinavica acts as an international forum for the dissemination of information advancing the science and practice of psychiatry. In particular we focus on communicating frontline research to clinical psychiatrists and psychiatric researchers. Acta Psychiatrica Scandinavica has traditionally been and remains a journal focusing predominantly on clinical psychiatry, but translational psychiatry is a topic of growing importance to our readers. Therefore, the journal welcomes submission of manuscripts based on both clinical- and more translational (e.g. preclinical and epidemiological) research. When preparing manuscripts based on translational studies for submission to Acta Psychiatrica Scandinavica, the authors should place emphasis on the clinical significance of the research question and the findings. Manuscripts based solely on preclinical research (e.g. animal models) are normally not considered for publication in the Journal.
期刊最新文献
More rTMS pulses or more sessions? The impact on treatment outcome for treatment resistant depression. Letter to the Editor Concerning "Glucagon-Like Peptide Agonists for Weight Management in Antipsychotic-Induced Weight Gain: A Systematic Review and Meta-Analysis". Prediction of electroconvulsive therapy outcome: A network analysis approach. How to treat antipsychotic-related weight gain and metabolic disturbances: Is there a role for GLP-1 receptor agonists? Issue Information
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