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2 型糖尿病和/或冠心病合并亚临床抑郁的初级保健患者中阶梯式抑郁预防干预的两年效果及新发抑郁的预测因素:来自 Step-Dep 集群随机对照试验的数据。

Two-year effectiveness of a stepped-care depression prevention intervention and predictors of incident depression in primary care patients with diabetes type 2 and/or coronary heart disease and subthreshold depression: data from the Step-Dep cluster randomised controlled trial.

机构信息

Department of Health Sciences, Amsterdam Public Health Research Institute, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands.

Department of General Practice & Elderly Care Medicine, Amsterdam Public Health Research Institute, VU University Medical Centre, Amsterdam, The Netherlands.

出版信息

BMJ Open. 2018 Oct 28;8(10):e020412. doi: 10.1136/bmjopen-2017-020412.

Abstract

INTRODUCTION

Major depressive disorders (MDD), diabetes mellitus type 2 (DM2) and coronary heart disease (CHD) are leading contributors to the global burden of disease and often co-occur.

OBJECTIVES

To evaluate the 2-year effectiveness of a stepped-care intervention to prevent MDD compared with usual care and to develop a prediction model for incident depression in patients with DM2 and/or CHD with subthreshold depression.

METHODS

Data of 236 Dutch primary care patients with DM2/CHD with subthreshold depression (Patient Health Questionnaire 9 (PHQ-9) score ≥6, no current MDD according to the Mini International Neuropsychiatric Interview (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria)) who participated in the Step-Dep trial were used. A PHQ-9 score of ≥10 at minimally one measurement during follow-up (at 3, 6, 9, 12 and 24 months) was used to determine the cumulative incidence of MDD. Potential demographic and psychological predictors were measured at baseline via web-based self-reported questionnaires and evaluated using a multivariable logistic regression model. Model performance was assessed with the Hosmer-Lemeshow test, Nagelkerke's R explained variance and area under the receiver operating characteristic curve (AUC). Bootstrapping techniques were used to internally validate our model.

RESULTS

192 patients (81%) were available at 2-year follow-up. The cumulative incidence of MDD was 97/192 (51%). There was no statistically significant overall treatment effect over 24 months of the intervention (OR 1.37; 95% CI 0.52 to 3.55). Baseline levels of anxiety, depression, the presence of >3 chronic diseases and stressful life events predicted the incidence of MDD (AUC 0.80, IQR 0.79-0.80; Nagelkerke's R 0.34, IQR 0.33-0.36).

CONCLUSION

A model with 4 factors predicted depression incidence during 2-year follow-up in patients with DM2/CHD accurately, based on the AUC. The Step-Dep intervention did not influence the incidence of MDD. Future depression prevention programmes should target patients with these 4 predictors present, and aim to reduce both anxiety and depressive symptoms.

TRIAL REGISTRATION NUMBER

NTR3715.

摘要

简介

重度抑郁症(MDD)、2 型糖尿病(DM2)和冠心病(CHD)是导致全球疾病负担的主要因素,且常同时发生。

目的

评估强化护理干预预防 MDD 的 2 年有效性,与常规护理相比,并为伴有亚临床抑郁的 DM2 和/或 CHD 患者建立一个预测抑郁发作的模型。

方法

采用 236 名荷兰初级保健患者的数据,他们患有 DM2/CHD 伴亚临床抑郁(PHQ-9 评分≥6,根据 Mini 国际神经精神访谈(DSM-IV 标准)无当前 MDD),参加了 Step-Dep 试验。在随访期间(3、6、9、12 和 24 个月)至少有一次测量 PHQ-9 评分≥10 ,用于确定 MDD 的累积发病率。潜在的人口统计学和心理预测因素在基线时通过网络自我报告问卷进行测量,并使用多变量逻辑回归模型进行评估。采用 Hosmer-Lemeshow 检验、Nagelkerke 的 R 解释方差和接收者操作特征曲线下面积(AUC)评估模型性能。使用自举技术对模型进行内部验证。

结果

192 名患者(81%)在 2 年随访时可用。MDD 的累积发病率为 97/192(51%)。干预 24 个月后,治疗效果无统计学意义(OR 1.37;95%CI 0.52-3.55)。基线时的焦虑、抑郁、>3 种慢性疾病和压力生活事件的存在预测了 MDD 的发病率(AUC 0.80,IQR 0.79-0.80;Nagelkerke 的 R 0.34,IQR 0.33-0.36)。

结论

基于 AUC,一个包含 4 个因素的模型准确预测了 DM2/CHD 患者 2 年随访期间的抑郁发病率。Step-Dep 干预并没有影响 MDD 的发病率。未来的抑郁症预防计划应针对有这 4 个预测因素的患者,并旨在降低焦虑和抑郁症状。

试验注册号

NTR3715。

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6
Predictors of depressive disorder following acute coronary syndrome: Results from K-DEPACS and EsDEPACS.
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8
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10
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