Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study.

Aging affects the 12-lead electrocardiogram (ECG) and correlates with cardiovascular disease (CVD). AI-ECG models estimate aging effects as a novel biomarker but have only been evaluated on single ECGs-without utilizing longitudinal data. We validated an AI-ECG model, originally trained on Brazilian data, using a German cohort with over 20 years of follow-up, demonstrating similar performance (r = 0.

A study protocol for individualized prognostic counselling in the palliative phase.

Background: Head and neck squamous cell cancer (HNSCC) has a poor prognosis, with approximately 25-30% of patients transitioning into the palliative phase at some point. The length of this phase is relatively short, with a median duration of five months. Patients in this stage often have increased prognostic information needs.

Combined endurance and resistance exercise training in heart failure with preserved ejection fraction: a randomized controlled trial.

Endurance exercise training (ET) is an effective treatment in heart failure with preserved ejection fraction (HFpEF), but the efficacy of resistance training in this patient population has been only scarcely evaluated. In this multicenter, randomized trial, we evaluated the effects of combined endurance and resistance training over 12 months in patients with HFpEF. The primary endpoint was a modified Packer score, including all-cause mortality, hospitalizations classified as potentially related to heart failure or exercise and changes in peak oxygen consumption ( ), diastolic function (E/e'), New York Heart Association (NYHA) class and global self-assessment (GSA).