Assessment of valvular function in over 47,000 people using deep learning-based flow measurements.

Valvular heart disease is associated with a high global burden of disease. Even mild aortic stenosis confers increased morbidity and mortality, prompting interest in understanding normal variation in valvular function at scale. We developed a deep learning model to study velocity-encoded magnetic resonance imaging in 47,223 UK Biobank participants. We calculated eight traits, including peak velocity, mean gradient, aortic valve area, forward stroke volume, mitral and aortic regurgitant volume, greatest average velocity, and ascending aortic diameter. We then computed sex-stratified reference ranges for these phenotypes in up to 31,909 healthy individuals. In healthy individuals, we found an annual decrement of 0.03cm 2 in the aortic valve area. Participants with mitral valve prolapse had a 1 standard deviation [SD] higher mitral regurgitant volume (P=9.6 × 10 -12 ), and those with aortic stenosis had a 4.5 SD-higher mean gradient (P=1.5 × 10 -431 ), validating the derived phenotypes' associations with clinical disease. Greater levels of ApoB, triglycerides, and Lp(a) assayed nearly 10 years prior to imaging were associated with higher gradients across the aortic valve. Metabolomic profiles revealed that increased glycoprotein acetyls were also associated with an increased aortic valve mean gradient (0.92 SD, P=2.1 x 10 -22 ). Finally, velocity-derived phenotypes were risk markers for aortic and mitral valve surgery even at thresholds below what is considered relevant disease currently. Using machine learning to quantify the rich phenotypic data of the UK Biobank, we report the largest assessment of valvular function and cardiovascular disease in the general population.

Sex Differences in Heart Failure With Reduced Ejection Fraction in the GALACTIC-HF Trial.

BACKGROUND: Women with heart failure with reduced ejection fraction (HFrEF) receive less guideline-recommended therapy and experience worse quality of life than men. OBJECTIVES: The authors sought to assess differences in baseline characteristics, outcomes, efficacy, and safety of omecamtiv mecarbil between men and women enrolled in the GALACTIC-HF (Registrational Study With Omecamtiv Mecarbil [AMG 423] to Treat Chronic Heart Failure With Reduced Ejection Fraction) study. METHODS: In GALACTIC-HF, patients with symptomatic heart failure with EF of 35% or less, recent heart failure event, and elevated natriuretic peptides were randomized to omecamtiv mecarbil or placebo. The current analysis investigated differences in baseline characteristics, clinical outcomes, and efficacy and safety of omecamtiv mecarbil between men and women. RESULTS: Of 8,232 patients analyzed, 21.2% were women. Women more likely self-identified as being Black, had worse symptoms (lower Kansas City Cardiomyopathy Questionnaire Total Symptom Score [KCCQ-TSS]), and were less likely to be treated with angiotensin receptor/neprilysin inhibitor and devices at baseline. Compared with men, women had lower rates of the primary endpoint (adjusted HR: 0.80, 95% CI: 0.73-0.88). Sex did not significantly modify omecamtiv mecarbil's treatment effect (P interaction = 0.68). Women also had 20% less risk of cardiovascular death, heart failure event, and all-cause death. Women participants had lower rates of serious adverse events. CONCLUSIONS: Women participants of the GALACTIC-HF trial had worse quality of life and were less likely to be treated with guideline-based therapies at baseline. Despite KCCQ-TSS being predictive of poor outcomes in this population, women had a 20% lower risk of an HF event or cardiovascular death compared with men. The beneficial effect of omecamtiv mecarbil did not significantly differ by sex. (Registrational Study With Omecamtiv Mecarbil [AMG 423] to Treat Chronic Heart Failure With Reduced Ejection Fraction [GALACTIC-HF]; NCT02929329).

As a Community, We CAN: How Collaboration in East Hawai'i Led to Community-Wide Initiatives Focused on Reducing Avoidable Emergency Department Visits and Inpatient Admissions.

East Hawai'i and its local hospital face unsustainable cost and health care utilization trends. The medical and social service organizations in this region, which includes the city of Hilo and its surrounding area on Hawai'i Island, previously worked in silos regarding coordination of patient care. To mitigate these factors, community initiatives have been implemented to address the needs of high-cost, high-need (HCHN) patients. Can community initiatives that better coordinate medical and social services to directly address social determinants of health improve quality of care and reduce utilization of emergency department (ED) and inpatient (IP) resources? Respected community leaders and diverse stakeholders in East Hawai'i have organized a community to improve health while lowering costs, influence legislative policy, and work collaboratively with the largest health plan in Hawai'i and the local hospital to change health care delivery. A population of patients with high cost, utilization, and disease burden was identified. A model of care was developed with 2 centers of excellence, providing care coordination across medical and social services. Community health workers (CHWs) were added to help patients navigate the system, comply with treatment plans, and request exception funding. A community forum for medical and social services has been established and an online referral system improves efficiency and accountability. Finally, a community quality assurance (QA) committee is being put into place to drive systemic improvements. The community approach adopted in East Hawai'i holds great promise to realize structural changes to healthcare. While not yet fully implemented, anecdotal data suggest that this program is reducing ED and IP utilization and effectively addressing social determinants of health.