National Heart, Lung, and Blood Institute: Social Determinants of Health Research, Fiscal Year 2008-2020.

INTRODUCTION: Social determinants of health influence the prevention, treatment, and progression of chronic diseases, including heart, lung, blood, and sleep diseases and conditions. Healthy People 2020 classifies Social Determinants of Health into 5 subcategories: (1) Neighborhood and Built Environment, (2) Education, (3) Economic Stability, (4) Social and Community Context, and (5) Health and Health Care. This study's goal is to characterize the National Heart, Lung, and Blood Institute's Fiscal Year 2008-2020 funding in overall Social Determinants of Health research and in the Healthy People 2020 subcategories. METHODS: The Social Determinants of Health Research, Condition, and Disease Categorization code was used to identify funded grants in this area. Natural language processing methods further categorized grants into the 5 Healthy People 2020 Social Determinants of Health subcategories. RESULTS: There were 915 (∼4.3%) social determinants of health‒funded grants from 2008 to 2020 representing $1,034 billion in direct costs. Most grants were relevant to cardiovascular diseases (n=653), with a smaller number relevant to lung diseases (n=186), blood diseases (n=47), and translational and implementation science (n=29). Grants fit multiple Social Determinants of Health subcategories with the majority identified as Health and Health Care (62%) and Economic Stability (61%). The number of National Heart, Lung, and Blood Institute social determinants of health grants awarded increased by 127% from Fiscal Year 2008 to Fiscal Year 2020. CONCLUSIONS: This study identifies Social Determinants of Health grants funded by the National Heart, Lung, and Blood Institute during 2008‒2020. Enhancing the understanding of these determinants and developing effective interventions will ultimately help to advance the mission of the National Heart, Lung, and Blood Institute.

CABG Improves Outcomes in Patients With Ischemic Cardiomyopathy: 10-Year Follow-Up of the STICH Trial.

OBJECTIVES: The authors investigated the impact of coronary artery bypass grafting (CABG) on first and recurrent hospitalization in this population. BACKGROUND: In the STICH (Surgical Treatment for Ischemic Heart Failure) trial, CABG reduced all-cause death and hospitalization in patients with and ischemic cardiomyopathy and left ventricular ejection fraction <35%. METHODS: A total of 1,212 patients were randomized (610 to CABG + optimal medical therapy [CABG] and 602 to optimal medical therapy alone [MED] alone) and followed for a median of 9.8 years. All-cause and cause-specific hospitalizations were analyzed as time-to-first-event and as recurrent event analysis. RESULTS: Of the 1,212 patients, 757 died (62.4%) and 732 (60.4%) were hospitalized at least once, for a total of 2,549 total all-cause hospitalizations. Most hospitalizations (66.2%) were for cardiovascular causes, of which approximately one-half (907 or 52.9%) were for heart failure. More than 70% of all hospitalizations (1,817 or 71.3%) were recurrent events. The CABG group experienced fewer all-cause hospitalizations in the time-to-first-event (349 CABG vs. 383 MED, adjusted hazard ratio [HR]: 0.85; 95% confidence interval [CI]: 0.74 to 0.98; p = 0.03) and in recurrent event analyses (1,199 CABG vs. 1,350 MED, HR: 0.78, 95% CI: 0.65 to 0.94; p < 0.001). This was driven by fewer total cardiovascular (CV) hospitalizations (744 vs. 968; p < 0.001, adjusted HR: 0.66, 95% CI: 0.55 to 0.81; p = 0.001), the majority of which were due to HF (395 vs. 512; p < 0.001, adjusted HR: 0.68, 95% CI: 0.52-0.89; p = 0.005). We did not observe a difference in non-CV events. CONCLUSIONS: CABG reduces all-cause, CV, and HF hospitalizations in time-to-first-event and recurrent event analyses. (Comparison of Surgical and Medical Treatment for Congestive Heart Failure and Coronary Artery Disease [STICH]; NCT00023595).

Sudden Cardiac Death in Patients With Ischemic Heart Failure Undergoing Coronary Artery Bypass Grafting: Results From the STICH Randomized Clinical Trial (Surgical Treatment for Ischemic Heart Failure).

BACKGROUND: The risk of sudden cardiac death (SCD) in patients with heart failure after coronary artery bypass graft surgery (CABG) has not been examined in a contemporary clinical trial of surgical revascularization. This analysis describes the incidence, timing, and clinical predictors of SCD after CABG. METHODS: Patients enrolled in the STICH trial (Surgical Treatment of Ischemic Heart Failure) who underwent CABG with or without surgical ventricular reconstruction were included. We excluded patients with prior implantable cardioverter-defibrillator and those randomized only to medical therapy. The primary outcome was SCD as adjudicated by a blinded committee. A Cox model was used to examine and identify predictors of SCD. The Fine and Gray method was used to estimate the incidence of SCD accounting for the competing risk of other deaths. RESULTS: Over a median follow-up of 46 months, 113 of 1411 patients who received CABG without (n = 934) or with (n = 477) surgical ventricular reconstruction had SCD; 311 died of other causes. The mean left ventricular ejection fraction at enrollment was 28±9%. The 5-year cumulative incidence of SCD was 8.5%. Patients who had SCD and those who did not die were younger and had fewer comorbid conditions than did those who died of causes other than SCD. In the first 30 days after CABG, SCD (n=5) accounted for 7% of all deaths. The numerically greatest monthly rate of SCD was in the 31- to 90-day time period. In a multivariable analysis including baseline demographics, risk factors, coronary anatomy, and left ventricular function, end-systolic volume index and B-type natriuretic peptide were most strongly associated with SCD. CONCLUSIONS: The monthly risk of SCD shortly after CABG among patients with a low left ventricular ejection fraction is highest between the first and third months, suggesting that risk stratification for SCD should occur early in the postoperative period, particularly in patients with increased preoperative end-systolic volume index or B-type natriuretic peptide. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT0002359.