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.
Study Type
OBSERVATIONAL
Enrollment
16,556
Presence or absence of diabetes mellitus recorded at enrolment as part of routine clinical assessment.
Number of chronic comorbid conditions recorded at enrollment, used as a measure of multimorbidity.
Short-term variability in body weight calculated from repeated weight measurements collected during routine telemonitoring, used as a marker of dynamic physiological status.
Satelia
Bordeaux, France
Association Between Diabetes Status and All-Cause Mortality
Relationship between the presence of diabetes mellitus at enrolment and subsequent risk of death, evaluated using multivariable survival analysis.
Time frame: From enrolment up to 3 years of follow-up
All-Cause Mortality
Time from enrolment to death from any cause, assessed using follow-up data collected during routine care within the remote monitoring program.
Time frame: From enrolment in the remote monitoring program up to 3 years of follow-up
Association Between Comorbidity Burden and All-Cause Mortality
Association between the number of chronic comorbid conditions at enrolment and risk of death during follow-up.
Time frame: From enrolment up to 3 years of follow-up
Association Between Short-Term Weight Variability and All-Cause Mortality
Relationship between short-term variability in body weight measured during telemonitoring and subsequent risk of death
Time frame: From enrolment up to 3 years of follow-up
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