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.

Leisure-time physical activity, cardiorespiratory fitness, and cognitive decline in middle-aged and older adults - The ELSA-Brasil study.

Objectives: Dementia is a fast-growing public health problem. This study examined the association of physical activity and estimated cardiorespiratory fitness (eCRF) with the risk of cognitive impairment.

Study Design: Multicentric, prospective cohort study.

Narrative Review of the Theoretical-Methodological Foundations of the TREINI Program.

Scientific knowledge has advanced in the implementation of safe and beneficial interventions for children and adolescents with cerebral palsy (CP). Although the importance of interdisciplinary interventions that integrate all components of the International Classification of Functioning, Disability and Health (ICF) into family-centered practices is widely recognized, this approach is not yet widely adopted. Instead, many programs remain focused on isolated domains.

Clinical and Financial Validation of the International Study Group for Pancreatic Surgery (ISGPS) Definition of Post-Pancreatectomy Acute Pancreatitis (PPAP): International Multicenter Prospective Study.

Objective: To validate the ISGPS definition and grading system of PPAP after pancreatoduodenectomy (PD).

Summary Background Data: In 2022, the International Study Group for Pancreatic Surgery (ISGPS) defined post-pancreatectomy acute pancreatitis (PPAP) and recommended a prospective validation of its diagnostic criteria and grading system.

Methods: This was a prospective, international, multicenter study including patients undergoing PD at 17 referral pancreatic centers across Europe, Asia, Oceania, and the United States.

Leveraging genomes to support conservation and bioeconomy policies in a megadiverse country.

The biodiversity crisis is a global phenomenon, and measures to monitor, stop, and revert the impacts on species' extinction risk are urgently needed. Megadiverse countries, especially in the Global South, are responsible for managing and protecting Earth's biodiversity. Various initiatives have started to sequence reference-level genomes or perform large-scale species detection and monitoring through environmental DNA.

Development and Multinational Validation of an Ensemble Deep Learning Algorithm for Detecting and Predicting Structural Heart Disease Using Noisy Single-lead Electrocardiograms.

Background And Aims: AI-enhanced 12-lead ECG can detect a range of structural heart diseases (SHDs) but has a limited role in community-based screening. We developed and externally validated a noise-resilient single-lead AI-ECG algorithm that can detect SHD and predict the risk of their development using wearable/portable devices.

Methods: Using 266,740 ECGs from 99,205 patients with paired echocardiographic data at Yale New Haven Hospital, we developed ADAPT-HEART, a noise-resilient, deep-learning algorithm, to detect SHD using lead I ECG.

An Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD.

Background: Identifying structural heart diseases (SHDs) early can change the course of the disease, but their diagnosis requires cardiac imaging, which is limited in accessibility.

Objective: To leverage images of 12-lead ECGs for automated detection and prediction of multiple SHDs using an ensemble deep learning approach.

Methods: We developed a series of convolutional neural network models for detecting a range of individual SHDs from images of ECGs with SHDs defined by transthoracic echocardiograms (TTEs) performed within 30 days of the ECG at the Yale New Haven Hospital (YNHH).

Fecundity and Nutrient Deficiency Following Obesity Treatment: Implications for Young-Onset Cancer Risk in Offspring.

Young-onset adult cancers have been an emerging problem over the last three decades in Australia [...

Can we "prehabilitate" pancreatic cancer patients prior to surgery? A critical appraisal of the literature.

Background: Enhancing a patient's functional capacity to withstand the surgical stress by means of multimodal (combined exercise, nutrition and psychological interventions) prehabilitation may potentially lead to improved outcomes in pancreatic cancer surgery.

Methodology: A systematic review was undertaken searching PubMed, Google Scholar and Cochrane Library databases, exploring the impact of prehabilitation in pancreatic surgery. Outcomes of interest were adherence to the prehabilitation, functional capacity, overall complications and post-operative length of stay.

Evaluation of the antioxidant and antityrosinase activities of Prosopis juliflora fruit extract as a novel multifunctional bioactive ingredient and its potential applicability in pro-ageing and skin colour harmonization cosmetic products.

Objective: Prosopis juliflora, commonly known as algaroba or mesquite, was introduced and has since proliferated throughout the semi-arid region of the Caatinga biome. Various studies have documented its properties, including antimicrobial, antioxidant, and antitumor activities, attributed to the presence of diverse secondary metabolites such as alkaloids, terpenoids, tannins, and flavonoids. The objective of this study was to evaluate the antioxidant and antityrosinase activities of P.

Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts.

Background: The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptualized as the cardiometabolic continuum (CMC), sequence of cardiovascular events that stem from gene-environmental interactions, unhealthy lifestyle influences, and metabolic diseases such as diabetes, and hypertension. While the physiological pathways linking metabolic and cardiovascular diseases have been investigated, the study of the sex and population differences in the CMC have still not been described.

Methods: We present a machine learning approach to model the CMC and investigate sex and population differences in two distinct cohorts: the UK Biobank (17,700 participants) and the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) (7162 participants).

Are Neighborhood Greenspaces Associated with Leisure-time Physical Activity? Results from ELSA-Brasil Eight-year Follow-up.

We investigated whether neighborhood greenspaces were associated with physical activity in adulthood over 3 cohort visits after considering perceived safety and neighborhood contextual factors. We also evaluated whether the association with greenspace varied by neighborhood socioeconomic status. Participants (N = 4,800) from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) residing in two Brazilian state capitals were evaluated in Visits 1 (2008-2010), 2 (2012-2014) and 3 (2017-2019).

[Is socioeconomic residential segregation associated with sleep problems? Insights from ELSA-Brasil].

Several factors influence sleep, which is essential for health. While the role of neighborhood socioeconomic context on sleep health has been studied in recent years, results are inconsistent. The study aimed to investigate the association between socioeconomic residential segregation and sleep problems, using data from the second evaluation (2012-2014) of 9,918 public servants participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Perinatal Famine Exposure and Young-Onset Cancer-Lessons from China Health and Nutrition Survey.

Perinatal exposure to malnutrition has been hypothesised to influence the development of young-onset cancer (≤50 years of age). This study aimed to determine if perinatal malnutrition in individuals exposed to the Great Famine of China increased their risk of developing young-onset cancer compared to other individuals born prior to the famine. This cross-sectional study involved 7272 participants from the China Health and Nutrition Survey who were classified into four groups based on birth year: participants born between 1953 and 1955 (before the famine) were designated as the pre-famine group (unexposed); the remainder formed perinatal exposure groups comprised of those exposed during the famine (1959-1961), those exposed in the early post-famine period (1962-1964), and those exposed in the late post-famine period (1965-1967).