Daily Cardiology Research Analysis

Patients with coronary heart disease (CHD) and type 2 diabetes mellitus (T2DM) have a substantially increased risk for major cardiovascular events and mortality. Increasing physical activity and improving a healthy diet may effectively reduce cardiovascular risk factors; however, the effects are often transient. In a multicenter, 1:1 randomized controlled trial including 502 patients with combined CHD and T2DM (68 ± 8 years; 84% men), we assessed the effects of a home-based telemedicine-supported lifestyle intervention (exercise training, nutritional recommendations and health literacy training) with regular individualized feedback versus usual care. The study met its primary endpoint of reduced glycated hemoglobin after 6 months in favor of the lifestyle intervention group (mean between-group difference in the complete-case analysis (n = 197 and n = 193), -0.13% (95% confidence interval, -0.25 to -0.01), P = 0.04). When individualized feedback and health literacy training were discontinued after 6 months (while other telemedicine tools were maintained), no statistically significant between-group differences were observed at 12 months. At 12 months, 31 patients (6.2%) had a major adverse cardiovascular event (lifestyle intervention, n = 20 (8.0%); usual care, n = 11 (4.4%); P = 0.15), with the main reason being hospitalization for angina or revascularization (lifestyle intervention, n = 15; usual care, n = 8). There were five deaths (lifestyle intervention, n = 2; usual care, n = 3), none of which were categorized as related to the intervention. However, three events that resulted in hospitalization were categorized as potentially related to the intervention (decompensation of heart failure, vertebral disc prolapse and inguinal hernia). In conclusion, a home-based lifestyle intervention with telemedicine support showed modest effects in patients with CHD and T2DM. ClinicalTrials.gov registration: NCT03835923 .

BACKGROUND: Inflammatory arthritis is recognized to increase cardiovascular disease risk, but its association with degenerative aortic stenosis is not well understood. METHODS: This prospective cohort study used participants from the UK Biobank, focusing on 4 major types of inflammatory arthritis, including rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis, and gout. The primary outcome was the incidence of degenerative aortic stenosis. The primary analysis used Cox proportional hazards models to evaluate the association between inflammatory arthritis and the long-term risk of degenerative aortic stenosis, as well as to explore potential effect modifiers. Genetic risk was evaluated using polygenic risk scores and self-reported family history of cardiovascular diseases. RESULTS: The study included 497 567 participants, with 271 129 women (54.5%) and 468 015 White individuals (94.1%). The median age was 58 years. Over a median follow-up of 12.58 years, 4571 cases (0.9%) of degenerative aortic stenosis were identified. Compared with the control group, rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis, and gout were associated with increased risks of degenerative aortic stenosis by 54% (hazard ratio [HR], 1.54 [95% CI, 1.28-1.85]), 72% (HR, 1.72 [95% CI, 1.19-2.50]), 176% (HR, 2.76 [95% CI, 1.43-5.32]), and 36% (HR, 1.36 [95% CI, 1.20-1.54]), respectively. These associations were independent of genetic risk ( CONCLUSIONS: Inflammatory arthritis is significantly associated with an increased long-term risk of degenerative aortic stenosis, underscoring the need for enhanced risk assessment for degenerative aortic stenosis in these populations.

OBJECTIVES: We aimed to assess the additional prognostic value of the concept of "late gadolinium enhancement (LGE) granularity" in non-ischemic dilated cardiomyopathy (DCM) patients to predict all-cause death. METHODS: Between 2008 and 2021, we conducted a bicentric retrospective study including all consecutive DCM patients referred for Cardiovascular Magnetic Resonance (CMR). The primary outcome was all-cause death. Cox regressions were performed to determine the prognostic value of LGE findings. RESULTS: Of 1668 DCM patients recruited (age 52 ± 8 years, 54% male), 268 (16%) died after a median (interquartile range) follow-up of 9 (7-12) years. In DCM patients with LGE (N = 472), the LGE extent, the septal location, and its presence in multiple areas were independently associated with death after adjustment for all prognostic variables (adjusted hazard ratio (HR): 4.27, 95% CI: 2.22-8.22; HR: 5.74, 95% CI: 3.35-9.85; and HR: 4.38, 95% CI: 2.08-9.22 respectively; all p < 0.001). The LGE granularity model combining all these LGE features showed the best improvement in model discrimination and reclassification over traditional prognostic variables, including the left ventricular ejection fraction (LVEF) value (C-statistic improvement: 0.14; net reclassification improvement = 64.3%; integrative discrimination index = 29.0%; all p < 0.05). CONCLUSION: In a large cohort of DCM patients, a LGE granularity model combining LGE extent, location and multiple areas had additional prognostic value above traditional prognostic variables including the LVEF value to predict all-cause death. KEY POINTS: Question Assessment of late gadolinium enhancement (LGE) is recommended in non-ischemic dilated. cardiomyopathy (DCM) patients to stratify the risk of death, but other LGE characteristics are not currently considered. Findings The concept of "LGE granularity," including the extent, location, and number of areas, provides additional prognostic value, especially in predicting all-cause mortality. Clinical relevance "LGE granularity" could play a crucial role not only in guiding the decision to implant a defibrillator in DCM patients but also in providing more personalized management, such as enhanced cardioprotective treatments, for those with high-risk LGE characteristics.