Impact of Diabetes, Short-term Weight Variability, Heart Failure Etiologies and Other Comorbidities on Survival in a National Telemonitored Heart Failure Cohort
Impact of Diabetes, Short-term Weight Variability, Heart Failure Etiologies and Other Comorbidities on Survival in a National Telemonitored Heart Failure Cohort
This observational cohort study evaluates the prognostic impact of diabetes, comorbidity burden, and short-term weight variability among adults with chronic heart failure enrolled in a nationwide remote patient monitoring program in France. Patients were enrolled between September 3 2018 and April 3 2024 as part of routine heart failure care. Baseline demographic, clinical, and treatment data, along with weight measurements collected through telemonitoring, were analyzed. The study aims to assess associations between diabetes status, multimorbidity, and weight variability with survival outcomes using retrospective data from the program database. No study-mandated interventions were performed.
This retrospective, multicenter observational cohort study was conducted using data from a nationwide heart failure remote patient monitoring program in France. The program supports routine clinical management of patients with chronic heart failure through digital symptom and weight monitoring, automated alerts, and coordination with healthcare providers.
The study includes adult patients enrolled between September 2018 and April 2024. Clinical characteristics recorded at enrollment were extracted from the program database, including demographics, heart failure severity indicators, comorbid conditions, and treatment information. Repeated weight measurements obtained during telemonitoring were used to calculate short-term weight variability as a marker of dynamic physiological status.
The primary objective is to evaluate the association between diabetes and survival in patients with chronic heart failure. Secondary objectives include assessment of the impact of overall comorbidity burden and short-term weight variability on survival, as well as exploration of interactions between diabetes, age, and multimorbidity.
All treatments and monitoring were part of routine care. No interventions were assigned by the study protocol. Statistical analyses include survival modeling and multivariable adjustment to identify independent predictors of outcomes.
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