Screening of depression in cardiology: A study on 617 cardiovascular patients

INTERNATIONAL JOURNAL OF CARDIOLOGY

卷:245

Article

Tesio, Valentina¹  Marra, Sebastiano²  Molinaro, Stefania³  Torta, Riccardo³  Gaita, Fiorenzo²  Castelli, Lorys¹ 

[1] Univ Turin, Dept Psychol, Via Po 14, I-10123 Turin, Italy

[2] Univ Turin, Citta Salute & Sci Hosp, Div Cardiol, Corso Bramante 88, I-10126 Turin, Italy

[3] Univ Turin, Citta Salute & Sci Hosp, Clin Psychol & Psychooncol Unit, Corso Bramante 88, I-10126 Turin, Italy

关键词: Cardiovascular disease;    Depression;    Coronary Artery Disease;    Acute Coronary Syndrome;    HADS;    Screening;   

DOI  :  10.1016/j.ijcard.2017.07.065

来源: Elsevier

【 摘 要 】

Background: Depression screening in the cardiovascular disease (CVD) care setting is under-performed, also because the issue of the optimal screening tools cut-off is still open. We analysed which HADS (Hospital Anxiety and Depression Scale) total score cut-off value shows the best properties in two groups of 357 Acute Coronary Syndrome (ACS) and 260 Chronic Coronary Artery Disease (CAD) hospitalized patients. Methods: A Receiver Operating Characteristics (ROC) curve was plotted for both groups using the Montgomery-Asberg Depression Rating Scale (MADRS) as the criterion. Accuracy, positive (PPV) and negative (NPV) predictive values were computed for different cut-off scores. Results: The ROC curves confirmed the excellent/very good accuracy of the HADS in both groups, with an area under the curve of 0.911 for the ACS and 0.893 for the CAD patients. The cut-off of 14 showed the best compromise between high sensitivity and good specificity in both groups, with high negative predicted values (95.5% and 92.4%, respectively). Conclusion: Using a cut-off value of 14, the HADS could be considered a good screening tool to identify hospitalized CAD and ACS patients requiring a more accurate depression assessment, in order to promptly plan the most appropriate treatment strategies and prevent the negative effects of depression in CVD patients. (C) 2017 Elsevier B.V. All rights reserved.

【 授权许可】

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