Publications by authors named "Gabriel J Sanchez"

3 Publications

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Anhedonic Depression Is Not Associated With Risk of Recurrent Major Adverse Cardiac Events and All-Cause Mortality in Acute Coronary Syndrome Patients.

Ann Behav Med 2021 Oct 12. Epub 2021 Oct 12.

Center for Personalized Health, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.

Background: Depression after acute coronary syndrome (ACS) is common and increases risks of adverse outcomes, but it remains unclear which depression features are most associated with major adverse cardiac events (MACE) and all-cause mortality (ACM).

Purpose: To examine whether a subtype of depression characterized by anhedonia and major depressive disorder (MDD) predicts 1-year MACE/ACM occurrence in ACS patients compared to no MDD history. We also consider other depression features in the literature as predictors.

Methods: Patients (N = 1,087) presenting to a hospital with ACS completed a self-report measure of current depressive symptoms in-hospital and a diagnostic interview assessing MDD within 1 week post-hospitalization. MACE/ACM events were assessed at 1-, 6-, and 12-month follow-ups. Cox regression models were used to examine the association of the anhedonic depression subtype and MDD without anhedonia with time to MACE/ACM, adjusting for sociodemographic and clinical covariates.

Results: There were 142 MACE/ACM events over the 12-month follow-up. The 1-year MACE/ACM in patients with anhedonic depression, compared to those with no MDD, was somewhat higher in an age-adjusted model (hazard ratio [HR] = 1.63, p = .08), but was not significant after further covariate adjustment (HR = 1.24, p = .47). Of the additional depression features, moderate-to-severe self-reported depressive symptoms significantly predicted the risk of MACE/ACM, even in covariate-adjusted models (HR = 1.72, p = .04), but the continuous measure of self-reported depressive symptoms did not.

Conclusion: The anhedonic depression subtype did not uniquely predict MACE/ACM as hypothesized. Moderate-to-severe levels of total self-reported depressive symptoms, however, may be associated with increased MACE/ACM risk, even after accounting for potential sociodemographic and clinical confounders.
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October 2021

Factors associated with objectively measured exercise participation after hospitalization for acute coronary syndrome.

Int J Cardiol 2019 Jan 28;275:1-5. Epub 2018 Sep 28.

Center for Behavioral Cardiovascular Health, Columbia University Medical Center, 622 West 168 Street, PH 9, New York, NY 10032, USA.

Background: Guidelines recommend exercise for secondary prevention of acute coronary syndrome (ACS), however adherence to guidelines is low. A paucity of data examining factors associated with objectively-measured exercise post-discharge in ACS survivors exists. The purpose of this study was to identify factors associated with exercise during the 5 weeks after ACS discharge.

Methods: A sample of 151 ACS patients treated at a university hospital were enrolled into an observational cohort study and wore an accelerometer for 35 days post-discharge. Days on which participants accumulated ≥30 min of moderate-to-vigorous physical activity in bouts ≥10 min were considered exercise days. Participants were categorized as non-exercisers (0 exercise days) or exercisers (≥1 exercise day). A multi-variable logistic regression model was used to examine the association between exercise and socio-demographics, depression, SF-12 physical and mental health scores, disease severity, length of hospitalization, and percutaneous coronary intervention.

Results: 39.7% of participants were non-exercisers. Factors associated with non-exercise were age (OR: 1.11; 95% CI: 1.06-1.17, p < 0.001), female sex (OR: 2.76; 95% CI: 1.10-6.95, p = 0.031), and lower SF-12 physical health score (OR: 0.94; 95% CI: 0.90-0.98, p = 0.005).

Conclusion: In ACS patients in whom exercise participation was objectively measured for 5 weeks post-discharge, demographic and poor physical health factors were associated with non-exercise. These findings identify populations (e.g. older adults, women) at especially high risk for being physically inactive in whom more intense intervention may be warranted.
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January 2019