Sarcopenia in Older Patients Hospitalized for Acute Heart Failure.

Acute heart failure (AHF) is the leading cause of hospitalization in people over 65, with the group with preserved ejection fraction (HFpEF) being the most closely related to aging. Among its comorbidities, sarcopenia stands out, and its assessment requires measurement of muscle mass. Muscle ultrasound is an accessible and economical alternative, although its prognostic value is still uncertain. The presence of common pathophysiological mechanisms between HF-PEF and sarcopenia leads to the study of biomarkers to improve their characterization. Multimodal characterization of sarcopenia, integrating muscle mass and strength with skeletal and cardiac muscle biomarkers, will improve prognostic stratification at discharge in elderly patients with HFpEF hospitalized for ACS. We seek to evaluate the prognostic value of muscle mass estimated by ultrasound, in combination with strength measurements and circulating biomarkers related to sarcopenia, as this could improve the prediction of clinical events after hospitalization for AHF in elderly patients with HFpEF. In addition, ultrasound estimation of muscle mass will be analyzed against BIA, the relationship between skeletal and cardiac muscle will be characterized, and the usefulness of the multimodal approach to sarcopenia will be evaluated. This study is observational, prospective, and single-center. It will include 110 patients hospitalized for AHF aged ≥80 years. Events will be monitored for 6 months after discharge. Variables include clinical data, ultrasound data (lung, VExUS, and muscle mass), congestion markers (BNP, CA125), biomarkers (GDF-15, sST2, BDNF, and myostatin/follistatin), bioimpedance, and dynamometry. Data will be analyzed using regression models and survival analysis to identify prognostic factors. This study has the potential to improve the clinical management of patients with acute heart failure by providing key information on its interaction with sarcopenia. The results could help identify more e