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Do patient characteristics predict outcome in the outpatient treatment of chronic tinnitus?

机译:患者特征是否可以预测慢性耳鸣的门诊治疗结果?

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摘要

Various patient characteristics were assessed before offering a treatment to reduce tinnitus related distress to 57 individuals suffering from chronic idiopathic tinnitus. Patients were randomly assigned to a cognitive-behavioral tinnitus coping training (TCT) and a habituation-based training (HT) modelled after Tinnitus Retraining Therapy (TRT) as conceived by Jastreboff. Both trainings were conducted in groups. It was hypothesized that comorbidity regarding mental disorders or psychopathological symptoms (DSM-IV diagnoses, SCL-90R score) and a high level of dysfunctional cognitions relating to tinnitus would have a negative effect on therapy outcome while both trainings proved to be highly efficacious for the average patient. Also further patient features (assessed at baseline) were explored as potential predictors of outcome. None of the hypotheses was corroborated by the data. On the contrary, a higher number of diagnoses was associated with better outcome (statistical trend) and a higher extent of annoyance and interference led to a larger positive change in patients if treated by TCT. No predictor could be identified for long-term success (follow-up ≥18 months) except regarding education. The higher the educational level, the larger was the improvement in HT patients. It is concluded that therapy outcome of TCT and HT can not reliably be predicted by patient characteristics and that early variables of the therapeutic process should be analysed as potentially predicting subsequent therapeutic outcome.
机译:在提供治疗以减少57名患有慢性特发性耳鸣的个体的耳鸣之前,评估了各种患者的特征。根据Jastreboff的设想,将患者随机分配至认知行为耳鸣应对训练(TCT)和以耳鸣再训练(TRT)为模型的基于习惯的训练(HT)。两种培训都是分组进行的。假设有关精神障碍或精神病理症状(DSM-IV诊断,SCL-90R评分)的合并症以及与耳鸣有关的功能障碍的高水平认知将对治疗结果产生负面影响,而两种训练均证明对耳鸣的治疗非常有效一般患者。还探讨了其他患者特征(在基线进行评估)作为可能预后的指标。数据没有证实任何假设。相反,更多的诊断与更好的结局(统计趋势)相关联,如果通过TCT治疗,更大程度的烦恼和干扰会导致患者出现更大的阳性变化。除了受教育程度外,无法确定长期成功(随访≥18个月)的预测因素。受教育程度越高,HT患者的进步越大。结论是,不能通过患者特征可靠地预测TCT和HT的治疗结果,并且应分析治疗过程的早期变量以潜在地预测后续治疗结果。

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