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一种针对治疗抵抗和难治性抑郁症的修正主义模型。

A revisionist model for treatment-resistant and difficult-to-treat depression.

机构信息

Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.

出版信息

Aust N Z J Psychiatry. 2024 Jun;58(6):460-466. doi: 10.1177/00048674241240600. Epub 2024 Mar 27.

Abstract

OBJECTIVE

The aim of this study is to consider limitations to the heuristics 'treatment-resistant depression' (TRD) and 'difficult-to-treat' depression (DTD) and to offer a revisionist model.

METHODS

A number of limitations to the two constructs are noted, particularly the risk of each positioning clinical depression as an entity and then applying a linear sequencing management model.

RESULTS

Arguing that clinical depression is heterogenous in nature (with categorical and 'fuzzy set conditions), in cause and in response to treatment, allows an alternate model for addressing depressive conditions that are not readily responsive to treatment. A skeletal model for proceeding is offered for consideration and development.

CONCLUSION

If such a model is accepted, then differing criteria for defining treatment resistance and treatment failure might be generated for differing depressive conditions, and condition-specific sequencing algorithms (embracing drug and non-drug strategies) developed for their management.

摘要

目的

本研究旨在考虑“治疗抵抗性抑郁症”(TRD)和“难治性抑郁症”(DTD)这两个启发式方法的局限性,并提供一个修正模型。

方法

本文指出了这两个概念的一些局限性,特别是将临床抑郁症定位为一种实体,然后应用线性序列管理模型的风险。

结果

认为临床抑郁症在本质上(包括分类和“模糊集条件”)、病因和对治疗的反应上是异质的,这为解决那些对治疗反应不佳的抑郁病症提供了一种替代模型。本文提供了一个用于考虑和开发的基本模型。

结论

如果接受这样的模型,那么对于不同的抑郁病症,可能会产生不同的治疗抵抗和治疗失败的定义标准,并为其管理开发针对特定病症的序贯算法(包括药物和非药物策略)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a67d/11128139/b2f81d87c999/10.1177_00048674241240600-fig1.jpg

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