Remission in major depression: results from a geriatric primary care population.

Remission in major depression: results from a geriatric primary care population.
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DOI:
10.1002/gps.2485
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发表时间:
2011-01
影响因子:
4
通讯作者:
Rudolph, James L.
Rudolph, James L.
中科院分区:
医学2区
文献类型:
--
作者:
Azar, Armin R.;Chopra, Mohit P.;Cho, Lydia Y.;Coakley, Eugenie;Rudolph, James L.

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While a recent task force report recommended that remission from major depression be defined according to DSM criteria, most previous work has used depressive symptom rating scales. The current study sought to identify baseline factors associated with treatment outcome in major depression, diagnosed according to DSM-IV criteria. Data from the Primary Care Research in Substance Abuse and Mental Health for the Elderly (PRISM-E) study were utilized. This analysis focused on 792 geriatric primary care patients with major depression at baseline, who were randomized to services by a mental health professional in primary care or specialty settings. Major depression was diagnosed according to DSM-IV criteria based on a structured interview at baseline and six months. The primary outcome was the absence of any DSM-IV depressive disorder at six-month follow-up. Association with baseline demographic characteristics, comorbid anxiety disorder, “at risk” drinking, number of co-occurring medical conditions, and depressive symptom severity was examined using multiple logistic regression modeling. Remission occurred in 228 (29%) patients with completed follow-up assessments, while 564 (71%) did not remit. Factors which increased the odds of non-remission included comorbid anxiety (OR=1.60, 95%CI 1.11–2.31), female sex (OR=1.49, 95%CI 1.04–2.15), general medical comorbidity (OR=1.15, 95%CI 1.07–1.24), and increased baseline depressive symptom severity (OR=1.04, 95%CI 1.03–1.06). The findings underscore the importance of using DSM criteria to define remission from major depression, and suggest that concurrent measurement of depression severity, comorbid anxiety and medical comorbidity are important in identifying patients requiring targeted interventions to optimize remission from major depression.
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