Hölzel Lars, Wolff Alessa von, Kriston Levente, Härter Martin
Universitätsklinikum Freiburg, Abteilung für Psychiatrie und Psychotherapie, Sektion Klinische Epidemiologie und Versorgungsforschung.
Psychiatr Prax. 2010 Jan;37(1):27-33. doi: 10.1055/s-0029-1223348. Epub 2009 Oct 12.
The aim of this study was to identify predictors of non-response in inpatient depression treatment by means of routinely collected data from 10 psychiatric clinics.
Evaluation was carried out through univariate analyses first; subsequently a model was developed by means of multivariate analyses.
About one third (31.5 %) of the 511 patients included in the study was classified as non-responder. Concerning patient level, psychic comorbidity, severity of depression symptoms and serious impairment of lifestyle as indication for hospitalisation have an impact on treatment outcome. In contrast, socio-demographic characteristics are not suitable as predictors. On the level of process characteristics, psychotherapy and patient compliance to medication enhanced the chance of profiting from inpatient treatment.
The results can be integrated into a well interpretable model of the current inpatient depression treatment. Non-response is not yet sufficiently predictable through routine data.
本研究旨在通过从10家精神科诊所常规收集的数据，确定住院抑郁症治疗中无反应的预测因素。
首先通过单变量分析进行评估；随后通过多变量分析建立一个模型。
纳入研究的511名患者中约三分之一（31.5%）被归类为无反应者。在患者层面，精神共病、抑郁症状的严重程度以及作为住院指征的生活方式严重受损对治疗结果有影响。相比之下，社会人口学特征不适合作为预测因素。在治疗过程特征层面，心理治疗和患者对药物治疗的依从性增加了从住院治疗中获益的机会。
这些结果可以整合到一个易于解释的当前住院抑郁症治疗模型中。通过常规数据尚不能充分预测无反应情况。
