酒精使用障碍复发的预测因素:识别最容易复发的个体

Mark A. Stillman, Jane Sutcliff
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引用次数: 6

摘要

摘要本文综述了有关酒精使用障碍(AUD)患者复发风险的生物、心理、环境和社会因素的相关文献。识别这些风险因素并了解它们在促进复发易感性方面的复杂相互作用对于改善复发预防干预措施和结果至关重要。本文讨论了慢性酒精滥用对大脑结构和功能的影响。具体来说,与决策、冲动控制和执行功能相关区域的奖赏回路改变、应激通路改变和额叶白质完整性受损被认为是预测长期戒断的危险因素。神经适应增加了渴望,这被归因于易复发性。文献将酒精注意偏差、应对方式、早发性酒精依赖、治疗持续时间、参加嗜酒者互戒会、人格特质、自我效能、共病性抑郁、社会认知缺陷、人际关系和面部情绪识别能力作为可能预测复发的危险因素。临床医生应该鼓励参加嗜酒者互诫协会,治疗抑郁症状,解决应对机制,并在戒断的第一年加强社会支持。未来的研究重点是建立这些风险因素的可预测性,以及确定保护因素,可以为改善最容易复发的个体的结果做出实质性贡献。在大脑和生物学水平上识别危险因素可以建立复发风险的生物标志物,这将对临床实践和通过加强针对性干预和个性化护理来治疗AUD具有重要意义。
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Predictors of relapse in alcohol use disorder: Identifying individuals most vulnerable to relapse
linear new multiple Abstract This paper reviews the literature discussing the various biological, psychological, environmental, and social factors contributing to the risk of relapse for individuals with Alcohol Use Disorder (AUD). Identifying these risk factors and understanding their complex interactions in contributing to relapse vulnerability is crucial to improving relapse prevention interventions and outcomes. The impact of chronic alcohol abuse on brain structure and function are discussed. Specifically, altered reward circuitry, modified stress pathways, and compromised frontal white matter integrity in regions associated with decision making, impulse control, and executive functioning are identified as risk factors associated with predicting long- term abstinence. Neural adaptations increased craving, which has been attributed to relapse vulnerability. The literature examined alcohol attentional-bias, coping style, early onset alcohol dependence, duration of treatment, attendance at AA, personality traits, self-efficacy, comorbid depression, deficits in social cognition, interpersonal relationships, and facial emotion recognition ability as risk factors that may be predictive of relapse. Clinicians should encourage AA attendance, treat depressive symptoms, address coping mechanisms, and enhance social support in the first year of abstinence. Future studies that focus on establishing the strength of the predictability of these risk factors, as well as identifying protective factors, could make substantive contributions to improving outcomes for individuals who are most vulnerable to the relapse process. Identifying risk factors at the brain and biological level could establish biomarkers for relapse risk, which would have implications for clinical practice and treatment of AUD by enhancing targeted interventions and individualized care.
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