Greg L. Clary
Duke University
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Featured researches published by Greg L. Clary.
Circulation | 2004
Wei Jiang; Maragatha Kuchibhatla; Michael S. Cuffe; Eric J. Christopher; Jude D. Alexander; Greg L. Clary; Michael A. Blazing; Laura H. Gaulden; Robert M. Califf; Ranga R. Krishnan; Christopher M. O’Connor
Background—Anxiety is often present with depression and may be one of its manifestations. Although the adverse effects of depression in patients with chronic heart failure (CHF) have been well studied, the relation between anxiety and CHF prognosis has not been addressed. In a secondary analysis of data collected for a published study of depression and prognosis in patients with CHF, we examined the relations among anxiety, depression, and prognosis. Methods and Results—We measured symptoms of anxiety with the Spielberger State-Trait Anxiety Inventory (STAI) scale and symptoms of depression with the Beck Depression Inventory (BDI) scale in 291 patients with CHF hospitalized as a result of cardiac events. We followed up these patients for all-cause mortality over 1 year. The mean scores for state anxiety (State-A) and trait anxiety (Trait-A) were identical at 33.5; the mean BDI score was 8.7±7.6. State-A and Trait-A scores correlated highly with each other (r=0.85; P<0.01) and with BDI score (State-A, r=0.52; Trait-A, r=0.59; P<0.01). Cox proportional-hazards model with and without confounding variables showed no relation between State-A or Trait-A and 1-year mortality. BDI scores, however, significantly predicted increased mortality during 1-year follow-up (hazard ratio, 1.04 for each 1-unit increase; P<0.01). Conclusions—Although anxiety and depression are highly correlated in CHF patients, depression alone predicts a significantly worse prognosis for these patients.
JAMA Internal Medicine | 2008
Christopher M. O'Connor; Wei Jiang; Maragatha Kuchibhatla; Rajendra H. Mehta; Greg L. Clary; Michael S. Cuffe; Eric J. Christopher; Jude D. Alexander; Robert M. Califf; Ranga R. Krishnan
BACKGROUND Recent studies suggest that the use of antidepressants may be associated with increased mortality in patients with cardiac disease. Because depression has also been shown to be associated with increased mortality in these patients, it remains unclear if this association is attributable to the use of antidepressants or to depression. METHODS To evaluate the association of long-term mortality with antidepressant use and depression, we studied 1006 patients aged 18 years or older with clinical heart failure and an ejection fraction of 35% or less (62% with ischemic disease) between March 1997 and June 2003. The patients were followed up for vital status annually thereafter. Depression status, which was assessed by the Beck Depression Inventory (BDI) scale and use of antidepressants, was prospectively collected. The main outcome of interest was long-term mortality. RESULTS Of the study patients, 30.0% were depressed (defined by a BDI score > or =10) and 24.2% were taking antidepressants (79.6% of these patients were taking selective serotonin reuptake inhibitors [SSRIs] only). The vital status was obtained from all participants at an average follow-up of 972 (731) (mean [SD]) days. During this period, 42.7% of the participants died. Overall, the use of antidepressants (unadjusted hazard ratio [HR], 1.32; 95% confidence interval [CI], 1.03-1.69) or SSRIs only (unadjusted HR, 1.32; 95% CI, 0.99-1.74) was associated with increased mortality. However, the association between antidepressant use (HR, 1.24; 95% CI, 0.94-1.64) and increased mortality no longer existed after depression and other confounders were controlled for. Nonetheless, depression remained associated with increased mortality (HR, 1.33; 95% CI, 1.07-1.66). Similarly, depression (HR, 1.34; 95% CI, 1.08-1.68) rather than SSRI use (HR, 1.10; 95% CI, 0.81-1.50) was independently associated with increased mortality after adjustment. CONCLUSION Our findings suggest that depression (defined by a BDI score > or =10), but not antidepressant use, is associated with increased mortality in patients with heart failure.
Psychosomatics | 2012
Julie Adams; Maragatha Kuchibhatla; Eric J. Christopher; Jude D. Alexander; Greg L. Clary; Michael S. Cuffe; Robert M. Califf; Ranga R. Krishnan; Christopher M. O'Connor; Wei Jiang
OBJECTIVE To examine the relationship between depression and survival in patients with chronic heart failure (HF) over a 12-year follow-up period. BACKGROUND The survival associated with depression has been demonstrated in HF patients for up to 7 years. Longer-term impact of depression on survival of these patients remains unknown. METHODS Prospectively conducted observational study examining adults with HF who were admitted to a cardiology service at Duke University Medical Center between March 1997 and June 2003 and completed the Beck depression inventory (BDI) scale. The national death index was queried for vital status. Cox proportional hazards modeling was used to determine the association of survival and depression. RESULTS During a mean follow-up of 1792.33 ± 1372.82 days (median 1600; range 0-4683), 733 of 985 participants with HF died of all causes, representing 80% of those with depression (BDI > 10) and 73% of those without (P = 0.01). Depression was significantly and persistently associated with decreased survival over follow-up (hazard ratio [HR] 1.35, 95% confidence interval [CI] 1.15-1.57), and was independent of conventional risk factors (HR 1.40, 95% CI 1.16-1.68). Furthermore, survival was inversely associated with depression severity (BDI (continuous) HR 1.02, 95% CI 1.006-1.025, P = 0.001). CONCLUSIONS The impact of co-morbid depression during the index hospitalization on significantly increased mortality of HF patients is strong and persists over 12 years. These findings suggest that more investigation is needed to understand the trajectory of depression and the mechanisms underlying the impact of depression as well as to identify effective management strategies for depression of patients with HF.
Expert Review of Neurotherapeutics | 2003
Greg L. Clary
Depression is major problem for the medically ill population but few recommendations have been made regarding treatment with specific compounds in many of these illnesses. This review attempts to consider the inter-relationship between smoking, pulmonary disease and mood disorders. It has been reported that nearly 50% of patients with chronic pulmonary illnesses report depressive symptoms at some time during the course of their illness, but with the complex issues regarding respiratory drive and substance dependence, little in the way of specific clinical information have been made for this group. In this review, the theorectical relationship that exists between dopamine, serotonin and nicotine and how the biochemical nicotine dependence issues (with regard to mood) may actually be a key element in the understanding and treatment of depression later in the life of the development of chronic lung disease and depressio, are discussed.
American Heart Journal | 2007
Wei Jiang; Maragatha Kuchibhatla; Greg L. Clary; Michael S. Cuffe; Eric J. Christopher; Jude D. Alexander; Robert M. Califf; Ranga R. Krishnan; Christopher M. O'Connor
Psychopharmacology Bulletin | 2006
P. M. Doraiswamy; Indu Varia; Hellegers C; Wagner Hr; Greg L. Clary; John L. Beyer; Newby Lk; O'Connor Jf; Beebe Kl; Christopher M. O'Connor; Krishnan Kr
Psychosomatics | 2004
Erin J. Silvertooth; Doraiswamy Pm; Greg L. Clary; Michael A. Babyak; N. Wilkerson; C. Hellegars; Scott M. Palmer
Current Psychiatry Reports | 2002
Greg L. Clary; Scott M. Palmer; P. Murali Doraiswamy
Journal of the American College of Cardiology | 2002
Greg L. Clary; Charles Benedict Davenport; Donna Biracree; Maragatha Kuchibhatla; Dipen Shah; Christopher M. O'Connor; Ranga R. Krishnan
Archive | 2012
Julie Adams; Maragatha Kuchibhatla; Eric J. Christopher; Jude D. Alexander; Greg L. Clary; Michael S. Cuffe; Robert M. Califf; Ranga R. Krishnan; Wei Jiang