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阳性与阴性症状量表(PANSS)中总体症状缓解与缓解标准之间的差异:一种治疗后双因素项目反应理论模型

Disparity between General Symptom Relief and Remission Criteria in the Positive and Negative Syndrome Scale (PANSS): A Post-treatment Bifactor Item Response Theory Model.

作者信息

Anderson Ariana E, Reise Steven P, Marder Stephen R, Mansolf Maxwell, Han Carol, Bilder Robert M

机构信息

Dr. Anderson is with the Department of Psychiatry and Biobehavioral Sciences and the Department of Statistics.

Dr. Reise is with the Department of Psychology.

出版信息

Innov Clin Neurosci. 2017 Dec 1;14(11-12):41-53.

Abstract

Total scale scores derived by summing ratings from the 30-item PANSS are commonly used in clinical trial research to measure overall symptom severity, and percentage reductions in the total scores are sometimes used to document the efficacy of treatment. Acknowledging that some patients may have substantial changes in PANSS total scores but still be sufficiently symptomatic to warrant diagnosis, ratings on a subset of 8 items, referred to here as the "Remission set," are sometimes used to determine if patients' symptoms no longer satisfy diagnostic criteria. An unanswered question remains: is the goal of treatment better conceptualized as reduction in overall symptom severity, or reduction in symptoms below the threshold for diagnosis? We evaluated the psychometric properties of PANSS total scores, to assess whether having low symptom severity post-treatment is equivalent to attaining Remission. We applied a bifactor item response theory (IRT) model to post-treatment PANSS ratings of 3,647 subjects diagnosed with schizophrenia assessed at the termination of 11 clinical trials. The bifactor model specified one general dimension to reflect overall symptom severity, and five domain-specific dimensions. We assessed how PANSS item discrimination and information parameters varied across the range of overall symptom severity (θ), with a special focus on low levels of symptoms (i.e., θ<-1), which we refer to as "Relief" from symptoms. A score of θ=-1 corresponds to an expected PANSS item score of 1.83, a rating between "Absent" and "Minimal" for a PANSS symptom. The application of the bifactor IRT model revealed: (1) 88% of total score variation was attributable to variation in general symptom severity, and only 8% reflected secondary domain factors. This implies that a general factor may provide a good indicator of symptom severity, and that interpretation is not overly complicated by multidimensionality; (2) Post-treatment, 534 individuals (about 15% of the whole sample) scored in the "Relief" range of general symptom severity, but more than twice that number (n = 1351) satisfied Remission criteria (37%). 2 in 3 Remitted patients had scores that were not in a low symptom range (corresponding to Absent or Minimal item scores); (3) PANSS items vary greatly in their ability to measure the general symptom severity dimension; while many items are highly discriminating and relatively "pure" indicators of general symptom severity (delusions, conceptual disorganization), others are better indicators of specific dimensions (blunted affect, depression). The utility of a given PANSS item for assessing a patient depended on the illness level of the patient. Satisfying conventional Remission criteria was not strongly associated with low levels of symptoms. The items providing the most information for patients in the symptom Relief range were Delusions, Preoccupation, Suspiciousness Persecution, Unusual Thought Content, Conceptual Disorganization, Stereotyped Thinking, Active Social Avoidance, and Lack of Judgment and Insight. Lower scores on these items (item scores ≤2) were strongly associated with having a low latent trait θ or experiencing overall symptom relief. The inter-rater agreement between Remission and Relief subjects suggested that these criteria identified different subsets of patients. Alternative subsets of items may offer better indicators of general symptom severity and provide better discrimination (and lower standard errors) for scaling individuals and judging symptom relief, where the "best" subset of items ultimately depends on the illness range and treatment phase being evaluated.

摘要

通过对30项阳性和阴性症状量表(PANSS)的评分进行求和得出的总分,在临床试验研究中常用于衡量总体症状严重程度,总分的百分比降低有时用于记录治疗效果。认识到一些患者的PANSS总分可能有显著变化,但仍有足够的症状需要诊断,有时会使用8个项目的子集(在此称为“缓解集”)的评分来确定患者的症状是否不再满足诊断标准。一个未解决的问题仍然存在:治疗目标更好地概念化为总体症状严重程度的降低,还是症状降低到诊断阈值以下?我们评估了PANSS总分的心理测量特性,以评估治疗后症状严重程度低是否等同于达到缓解。我们将双因素项目反应理论(IRT)模型应用于11项临床试验结束时评估的3647名被诊断为精神分裂症患者的治疗后PANSS评分。双因素模型指定了一个一般维度来反映总体症状严重程度,以及五个特定领域维度。我们评估了PANSS项目区分度和信息参数在总体症状严重程度范围(θ)内如何变化,特别关注低症状水平(即θ<-1),我们将其称为症状“缓解”。θ=-1的分数对应于预期的PANSS项目评分为1.83,这是PANSS症状“不存在”和“轻微”之间的评分。双因素IRT模型的应用揭示:(1)总分变异的88%归因于一般症状严重程度的变异,只有8%反映了次要领域因素。这意味着一个一般因素可能是症状严重程度的良好指标,并且解释不会因多维度而过于复杂;(2)治疗后,534名个体(约占整个样本的15%)的一般症状严重程度处于“缓解”范围内,但满足缓解标准的人数(n = 1351)是该人数的两倍多(37%)。三分之二的缓解患者的分数不在低症状范围内(对应于不存在或轻微项目评分);(3)PANSS项目在测量一般症状严重程度维度的能力上有很大差异;虽然许多项目具有高度区分度且是一般症状严重程度的相对“纯粹”指标(妄想、概念紊乱),但其他项目是特定维度的更好指标(情感迟钝、抑郁)。给定的PANSS项目对评估患者的效用取决于患者的疾病水平。满足传统缓解标准与低症状水平没有很强的关联。在症状缓解范围内为患者提供最多信息的项目是妄想、先占观念、被害妄想、异常思维内容、概念紊乱、刻板思维、主动社交回避以及缺乏判断力和洞察力。这些项目的较低分数(项目评分≤2)与低潜在特质θ或经历总体症状缓解密切相关。缓解和缓解患者之间的评分者间一致性表明,这些标准识别出了不同的患者子集。项目的替代子集可能提供更好的一般症状严重程度指标,并为个体缩放和判断症状缓解提供更好的区分度(和更低的标准误差),其中项目的“最佳”子集最终取决于所评估的疾病范围和治疗阶段。

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