Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study.

Background And Aims: Current heart failure (HF) risk stratification strategies require comprehensive clinical evaluation. In this study, artificial intelligence (AI) applied to electrocardiogram (ECG) images was examined as a strategy to predict HF risk.

Methods: Across multinational cohorts in the Yale New Haven Health System (YNHHS), UK Biobank (UKB), and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), individuals without baseline HF were followed for the first HF hospitalization.

Childhood family adversities and recurrence of depression in adulthood: finds of three ELSA-Brasil visits.

Objective: To investigate the association between family adversities in childhood and depression in three follow-up visits of a cohort of Brazilian adults.

Methods: A total of 12,636 participants from the Longitudinal Study of Adult Health (ELSA-Brasil), who attended three interview/examination visits (2008-2010, 2012-2014, and 2017-2019), were included. Five family dysfunctions and the childhood family dysfunction score (0, 1, and 2+ dysfunctions) were used.

On-Target Low-Density Lipoprotein Cholesterol in Adults with Diabetes Not at High Cardiovascular Disease Risk Predicts Greater Mortality, Independent of Early Deaths or Frailty.

Lowering low-density lipoprotein cholesterol (LDL-C) to <70 mg/dL is recommended for most patients with diabetes. However, clinical trials investigating subjects with diabetes who are not at high cardiovascular risk are inconclusive regarding the all-cause mortality benefit of the current target, and real-world studies suggest greater mortality. We aimed to assess the all-cause mortality at different LDL-C levels among subjects with diabetes not at high risk and to examine the potential roles of early deaths and frailty for this greater mortality.

Impact of frailty, malnutrition and socioeconomic status on perioperative outcomes.

Background: Frailty, malnutrition and low socioeconomic status may mutually perpetuate each other in a self-reinforcing and interdependent manner. The intertwined nature of these factors may be overlooked when investigating impacts on perioperative outcomes. This study aimed to investigate the impact of frailty, malnutrition and socioeconomic status on perioperative outcomes.