Depression is associated with medication nonadherence in outpatients with CHD. Medication nonadherence may contribute to adverse cardiovascular outcomes in depressed patients.
BACKGROUND: The persistence of depressive symptoms after hospitalization is a strong risk factor for mortality after acute coronary syndromes (ACS). Poor adherence to secondary prevention behaviors may be a mediator of the relationship between depression and increased mortality.
OBJECTIVE: To determine whether rates of adherence to risk reducing behaviors were affected by depressive status during hospitalization and 3 months later.
DESIGN: Prospective observational cohort study.
SETTING: Three university hospitals.
PARTICIPANTS: Five hundred and sixty patients were enrolled within 7 days after ACS. Of these, 492 (88%) patients completed 3‐month follow‐up.
MEASUREMENTS: We used the Beck Depression Inventory (BDI) to assess depressive symptoms in the hospital and 3 months after discharge. We assessed adherence to 5 risk‐reducing behaviors by patient self‐report at 3 months. We used χ2 analysis to compare differences in adherence among 3 groups: persistently nondepressed (BDI <10 at hospitalization and 3 months); remittent depressed (BDI ≥10 at hospitalization; <10 at 3 months); and persistently depressed patients (BDI ≥10 at hospitalization and 3 months).
RESULTS: Compared with persistently nondepressed, persistently depressed patients reported lower rates of adherence to quitting smoking (adjusted odds ratio [OR] 0.23, 95% confidence interval [95% CI] 0.05 to 0.97), taking medications (adjusted OR 0.50, 95% CI 0.27 to 0.95), exercising (adjusted OR 0.57, 95% CI 0.34 to 0.95), and attending cardiac rehabilitation (adjusted OR 0.5, 95% CI 0.27 to 0.91). There were no significant differences between remittent depressed and persistently nondepressed patients.
CONCLUSIONS: Persistently depressed patients were less likely to adhere to behaviors that reduce the risk of recurrent ACS. Differences in adherence to these behaviors may explain in part why depression predicts mortality after ACS.
Survival with improved functional status was better with HMII LVAD compared with OMM. Despite experiencing more frequent adverse events, LVAD patients improved more in HRQol and depression. The results support HMII use in functionally limited, noninotrope-dependent HF patients with poor HRQoL. (Risk Assessment and Comparative Effectiveness of Left Ventricular Assist Device [LVAD] and Medical Management [ROADMAP]; NCT01452802).
Background: Systemic inflammation elicited by a cytokine storm is considered a hallmark of coronavirus disease 2019 (COVID-19). This study aims to assess the validity and clinical utility of the lymphocyte-to-C-reactive protein (CRP) ratio (LCR), typically used for gastric carcinoma prognostication, versus the neutrophil-to-lymphocyte ratio (NLR) for predicting in-hospital outcomes in COVID-19. Methods: A retrospective cohort study was performed to determine the association of LCR and NLR with the need for invasive mechanical ventilation (IMV), dialysis, upgrade to an intensive care unit (ICU) and mortality. Independent t-test and multivariate logistic regression analysis were performed to calculate mean differences and adjusted odds ratios (aORs) with its 95% confidence interval (CI), respectively. Results: The mean age for NLR patients was 63.6 versus 61.6, and for LCR groups, it was 62.6 versus 63.7 years, respectively. The baseline comorbidities across all groups were comparable except that the higher LCR group had female predominance. The mean NLR was significantly higher for patients who died during hospitalization (19 vs. 7, P ≤ 0.001) and those requiring IMV (12 vs. 7, P = 0.01). Compared to alive patients, a significantly lower mean LCR was observed in patients who did not survive hospitalization (1,011 vs. 632, P = 0.04). For patients with a higher NLR (> 10), the unadjusted odds of mortality (odds ratios (ORs) 11.0, 3.6-33.0, P < 0.0001) and need for IMV (OR 3.3, 95% CI 1.4-7.7, P = 0.008) were significantly higher compared to patients with lower NLR. By contrast, for patients with lower LCR (< 100), the odds of in-hospital all-cause mortality were significantly higher compared to patients with a higher LCR (OR 0.2, 0.06-0.47, P = 0.001). The aORs controlled for baseline comorbidities and medications mirrored the overall results, indicating a genuinely significant correlation between these biomarkers and outcomes. Conclusions: A high NLR and decreased LCR value predict higher odds of in-hospital mortality. A high LCR at presentation might indicate impending clinical deterioration and the need for IMV.
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