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本文引用的文献

1
External validation of the international risk prediction algorithm for major depressive episode in the US general population: the PredictD-US study.美国普通人群中重度抑郁发作国际风险预测算法的外部验证:PredictD-US研究
BMC Psychiatry. 2016 Jul 22;16:256. doi: 10.1186/s12888-016-0971-x.
2
Depressive vulnerability, stressful life events and episode onset of major depression: a longitudinal model.抑郁易感性、应激性生活事件与重度抑郁症的发作:一个纵向模型
Psychol Med. 2016 Jul;46(9):1865-74. doi: 10.1017/S0033291716000349. Epub 2016 Mar 15.
3
Screening for Depression in Adults: US Preventive Services Task Force Recommendation Statement.成人抑郁症筛查:美国预防服务工作组推荐声明。
JAMA. 2016 Jan 26;315(4):380-7. doi: 10.1001/jama.2015.18392.
4
The association of mood disorders with breast cancer survival: an investigation of linked cancer registration and hospital admission data for South East England.情绪障碍与乳腺癌生存率的关联:对英格兰东南部癌症登记与医院入院数据的关联调查。
Psychooncology. 2016 Jan;25(1):19-27. doi: 10.1002/pon.4037. Epub 2015 Nov 30.
5
Development and Application of a Genetic Algorithm for Variable Optimization and Predictive Modeling of Five-Year Mortality Using Questionnaire Data.基于问卷数据的五年死亡率可变优化与预测建模遗传算法的开发与应用
Bioinform Biol Insights. 2015 Nov 8;9(Suppl 3):31-41. doi: 10.4137/BBI.S29469. eCollection 2015.
6
Depressive episodes, symptoms, and trajectories in women recently diagnosed with breast cancer.近期诊断为乳腺癌的女性的抑郁发作、症状及病程轨迹。
Breast Cancer Res Treat. 2015 Nov;154(1):105-15. doi: 10.1007/s10549-015-3563-4. Epub 2015 Sep 29.
7
Depression as a predictor of adherence to adjuvant endocrine therapy (AET) in women with breast cancer: a systematic review and meta-analysis.抑郁症作为乳腺癌女性辅助内分泌治疗(AET)依从性的预测因素:一项系统综述和荟萃分析。
Breast Cancer Res Treat. 2015 Jul;152(2):239-46. doi: 10.1007/s10549-015-3471-7. Epub 2015 Jun 16.
8
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.透明报告个体预后或诊断的多变量预测模型(TRIPOD):解释和说明。
Ann Intern Med. 2015 Jan 6;162(1):W1-73. doi: 10.7326/M14-0698.
9
Recommendations for the implementation of distress screening programs in cancer centers: report from the American Psychosocial Oncology Society (APOS), Association of Oncology Social Work (AOSW), and Oncology Nursing Society (ONS) joint task force.癌症中心实施痛苦筛查计划的建议:美国心理肿瘤学会(APOS)、肿瘤社会工作协会(AOSW)和肿瘤护理学会(ONS)联合工作组的报告。
Cancer. 2014 Oct 1;120(19):2946-54. doi: 10.1002/cncr.28750. Epub 2014 May 2.
10
Preventing the onset of major depressive disorder: a meta-analytic review of psychological interventions.预防重度抑郁症的发作:心理干预的荟萃分析综述
Int J Epidemiol. 2014 Apr;43(2):318-29. doi: 10.1093/ije/dyt175.

预测未来的重度抑郁症和持续性抑郁症状:乳腺癌患者预后筛查器的开发和 PHQ-4 截断值。

Predicting future major depression and persistent depressive symptoms: Development of a prognostic screener and PHQ-4 cutoffs in breast cancer patients.

机构信息

Department of Psychiatry, University of Arizona, Tucson, Arizona, USA.

University of Arizona Cancer Center, Tucson, Arizona, USA.

出版信息

Psychooncology. 2018 Feb;27(2):420-426. doi: 10.1002/pon.4472. Epub 2017 Jul 26.

DOI:10.1002/pon.4472
PMID:28600855
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6531034/
Abstract

OBJECTIVE

Create a brief, self-report screener for recently diagnosed breast cancer patients to identify patients at risk of future depression.

METHODS

Breast cancer patients (N = 410) within 2 ± 1 months after diagnosis provided data on depression vulnerability. Depression outcomes were defined as a high depressive symptom trajectory or a major depressive episode during 16 months after diagnosis. Stochastic gradient boosting of regression trees identified 7 items highly predictive for the depression outcomes from a pool of 219 candidate depression vulnerability items. Three of the 7 items were from the Patient Health Questionnaire 4 (PHQ-4), a validated screener for current anxiety/depressive disorder that has not been tested to identify risk for future depression. Thresholds classifying patients as high or low risk on the new Depression Risk Questionnaire 7 (DRQ-7) and the PHQ-4 were obtained. Predictive performance of the DRQ-7 and PHQ-4 was assessed on a holdout validation subsample.

FINDINGS

DRQ-7 items assess loneliness, irritability, persistent sadness, and low acceptance of emotion as well as 3 items from the PHQ-4 (anhedonia, depressed mood, and worry). A DRQ-7 score of ≥6/23 identified depression outcomes with 0.73 specificity, 0.83 sensitivity, 0.68 positive predictive value, and 0.86 negative predictive value. A PHQ-4 score of ≥3/12 performed moderately well but less accurately than the DRQ-7 (net reclassification improvement = 10%; 95% CI [0.5-16]).

INTERPRETATION

The DRQ-7 and the PHQ-4 with a new cutoff score are clinically accessible screeners for risk of depression in newly diagnosed breast cancer patients. Use of the screener to select patients for preventive interventions awaits validation of the screener in other samples.

摘要

目的

为近期确诊的乳腺癌患者创建一个简短的自我报告筛查工具,以识别未来抑郁风险患者。

方法

在确诊后 2 ± 1 个月内,410 名乳腺癌患者提供了抑郁脆弱性数据。抑郁结局定义为诊断后 16 个月内出现高抑郁症状轨迹或重度抑郁发作。回归树的随机梯度增强从 219 个候选抑郁脆弱性项目中确定了 7 个对抑郁结局高度预测的项目。这 7 个项目中的 3 个来自患者健康问卷 4(PHQ-4),这是一种经过验证的当前焦虑/抑郁障碍筛查工具,尚未用于识别未来抑郁风险。获得了将新的抑郁风险问卷 7(DRQ-7)和 PHQ-4 上的患者分类为高风险或低风险的阈值。在保留验证子样本上评估了 DRQ-7 和 PHQ-4 的预测性能。

发现

DRQ-7 项目评估孤独感、易怒、持续悲伤和对情绪的低接受度,以及 PHQ-4 的 3 个项目(快感缺失、抑郁情绪和担忧)。DRQ-7 评分≥6/23 可识别出抑郁结局,特异性为 0.73,敏感性为 0.83,阳性预测值为 0.68,阴性预测值为 0.86。PHQ-4 评分≥3/12 的表现也相当不错,但不如 DRQ-7 准确(净重新分类改善 10%;95%CI[0.5-16])。

解释

DRQ-7 和 PHQ-4 加上新的截断分数是新诊断乳腺癌患者抑郁风险的临床可及筛查工具。在其他样本中验证该筛查工具的准确性后,将其用于选择接受预防干预的患者。