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The predictive power of depression screening procedures for veterans with coronary artery disease

Depression leads to a worse outcome for patients with coronary artery disease (CAD). Thus, accurately identifying depression in CAD patients is imperative. In many veterans affairs (VA) hospitals, patients are screened for depression once a year using the patient health questionnaire (PHQ-9). Althou...

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Autores principales: Shankman, Stewart A, Nadelson, Jeffrey, McGowan, Sarah Kate, Sovari, Ali A, Vidovich, Mladen I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346269/
https://www.ncbi.nlm.nih.gov/pubmed/22566744
http://dx.doi.org/10.2147/VHRM.S29424
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author Shankman, Stewart A
Nadelson, Jeffrey
McGowan, Sarah Kate
Sovari, Ali A
Vidovich, Mladen I
author_facet Shankman, Stewart A
Nadelson, Jeffrey
McGowan, Sarah Kate
Sovari, Ali A
Vidovich, Mladen I
author_sort Shankman, Stewart A
collection PubMed
description Depression leads to a worse outcome for patients with coronary artery disease (CAD). Thus, accurately identifying depression in CAD patients is imperative. In many veterans affairs (VA) hospitals, patients are screened for depression once a year using the patient health questionnaire (PHQ-9). Although the PHQ-9 is generally considered a specific and sensitive measure of depression, there is reason to believe that these screening procedures may miss a large number of cases of depression within CAD patients and cardiology patients more generally. The goal of this study was to provide data as to the predictive power of this depression screening procedure by (a) comparing the prevalence rate of depression identified by the PHQ-9 to known prevalence rates and (b) examining whether patients identified as “depressed” also had conditions that consistently co-occur with depression (eg, post-traumatic stress disorder [PTSD], other medical issues). Participants were 813 consecutive patients who received an angiogram in the cardiac catheterization laboratory at a large VA Medical Center. Prevalence of depression was 6.9% in the overall sample and less than 6% when the sample was restricted to CAD patients with significant stenosis. Depression was significantly associated with PTSD, smoking, and alcohol problems. However, depression was not associated with other medical problems such as diabetes, renal failure, peripheral vascular disease, or anemia. In conclusion, the low prevalence rate of depression and lack of associations with comorbid medical problems may suggest that the VA’s depression screening procedures have low sensitivity for identifying depression in CAD patients. It is recommended that clinicians treating CAD regularly screen for depression and do not rely on archival depression screens.
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spelling pubmed-33462692012-05-07 The predictive power of depression screening procedures for veterans with coronary artery disease Shankman, Stewart A Nadelson, Jeffrey McGowan, Sarah Kate Sovari, Ali A Vidovich, Mladen I Vasc Health Risk Manag Original Research Depression leads to a worse outcome for patients with coronary artery disease (CAD). Thus, accurately identifying depression in CAD patients is imperative. In many veterans affairs (VA) hospitals, patients are screened for depression once a year using the patient health questionnaire (PHQ-9). Although the PHQ-9 is generally considered a specific and sensitive measure of depression, there is reason to believe that these screening procedures may miss a large number of cases of depression within CAD patients and cardiology patients more generally. The goal of this study was to provide data as to the predictive power of this depression screening procedure by (a) comparing the prevalence rate of depression identified by the PHQ-9 to known prevalence rates and (b) examining whether patients identified as “depressed” also had conditions that consistently co-occur with depression (eg, post-traumatic stress disorder [PTSD], other medical issues). Participants were 813 consecutive patients who received an angiogram in the cardiac catheterization laboratory at a large VA Medical Center. Prevalence of depression was 6.9% in the overall sample and less than 6% when the sample was restricted to CAD patients with significant stenosis. Depression was significantly associated with PTSD, smoking, and alcohol problems. However, depression was not associated with other medical problems such as diabetes, renal failure, peripheral vascular disease, or anemia. In conclusion, the low prevalence rate of depression and lack of associations with comorbid medical problems may suggest that the VA’s depression screening procedures have low sensitivity for identifying depression in CAD patients. It is recommended that clinicians treating CAD regularly screen for depression and do not rely on archival depression screens. Dove Medical Press 2012 2012-04-17 /pmc/articles/PMC3346269/ /pubmed/22566744 http://dx.doi.org/10.2147/VHRM.S29424 Text en © 2012 Shankman et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Shankman, Stewart A
Nadelson, Jeffrey
McGowan, Sarah Kate
Sovari, Ali A
Vidovich, Mladen I
The predictive power of depression screening procedures for veterans with coronary artery disease
title The predictive power of depression screening procedures for veterans with coronary artery disease
title_full The predictive power of depression screening procedures for veterans with coronary artery disease
title_fullStr The predictive power of depression screening procedures for veterans with coronary artery disease
title_full_unstemmed The predictive power of depression screening procedures for veterans with coronary artery disease
title_short The predictive power of depression screening procedures for veterans with coronary artery disease
title_sort predictive power of depression screening procedures for veterans with coronary artery disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346269/
https://www.ncbi.nlm.nih.gov/pubmed/22566744
http://dx.doi.org/10.2147/VHRM.S29424
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