Optimizing detection of major depression among patients with coronary artery disease using the patient health questionnaire: data from the heart and soul study.
cross_sectional · Level IV
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- Record sourced from PubMed, PMID 18815842.
- Also identified by DOI 10.1007/s11606-008-0802-y and PMC identifier 2596499.
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Abstract
BACKGROUND: Clinical guidelines recommend depression screening in patients with coronary artery disease (CAD), but how to accomplish this is unclear. OBJECTIVE: We evaluated the test characteristics of the two-item Patient Health Questionnaire (PHQ-2), the nine-item Patient Health Questionnaire (PHQ-9), and a two-step screening approach (PHQ-2 then PHQ-9 if positive on PHQ-2), compared with the Computerized Diagnostic Interview Schedule (C-DIS) for major depression. We also evaluated a "PHQ diagnosis" of depression, requiring five of nine symptoms "more than half the days," compared with the C-DIS. DESIGN: Cross-sectional study of 1,024 outpatients with CAD. MAIN RESULTS: Two hundred twenty-four patients (22%) had current major depression. Optimal cutpoints were >or=2 for the PHQ-2 (82% sensitive, 79% specific) and >or=6 for the PHQ-9 (83% sensitive, 76% specific). The two-step screening approach was less sensitive (75%), but more specific (84%), than the PHQ-2 or PHQ-9 alone. The "PHQ diagnosis" had low sensitivity (28%), but high specificity (96%). CONCLUSIONS: Cutpoints of >or=2 on the PHQ-2 and >or=6 on the PHQ-9 had similar test characteristics. A two-step approach using the PHQ-2 followed by the PHQ-9 was no better than either instrument alone. A "PHQ diagnosis" of depression had high specificity, but poor sensitivity.
Medical subject headings
- Aged
- Aged, 80 and over
- Coronary Artery Disease
- Coronary Artery Disease/complications
- Coronary Artery Disease/psychology
- Cross-Sectional Studies
- Major Depressive Disorder
- Major Depressive Disorder/complications
- Major Depressive Disorder/diagnosis
- Major Depressive Disorder/psychology
- Female
- Follow-Up Studies
- Health Surveys
- Humans
- Male
- Middle Aged