Prognostic models and biomarkers in patients with acute decompensated heart failure admitted to ward

Recruiting

• Conditions: 10019280; acute decompensated heart failure; acute heart failure

• Registration Number: NL-OMON46619
• Lead Sponsor: Catharina-ziekenhuis

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Last Update Posted: 11 June 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: Not specified
• Target Recruitment: 278

Inclusion Criteria

Undergo treatment for ADHF.
Aged 18 or above and mentally competent.
Capable of understanding the Dutch language.

Exclusion Criteria

Patients where follow-up is not possible (e.g. in-hospital mortality or follow-up not taking place at the Catharina Hospital).

Study & Design

• Study Type: Observational non invasive
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>The main study parameters will be the ELAN-HF score, biomarker levels and<br /><br>clinical data that is collected during study inclusion. The main study<br /><br>endpoints are all-cause mortality and a composite of all-cause mortality and/or<br /><br>first readmission for cardiovascular reasons within 6 months after discharge.</p><br>

Secondary Outcome Measures

Name	Time	Method
<p>Assess the associations between biomarker levels in patients admitted with ADHF<br /><br>and:<br /><br>- cause-specific mortality 6 months after discharge.<br /><br>- recurrent hospitalizations.<br /><br>- QoL outcomes early after discharge and 6 months after discharge.<br /><br>Develop a prognostic model that predicts QoL outcomes for patients that are<br /><br>admitted with acutely decompensated heart failure, based on serial measurements<br /><br>of a panel of biomarkers and clinical variables contained in electronic health<br /><br>records.<br /><br>Assess prognostic value of features extracted from continuous PPG and<br /><br>accelerometer data from the Elan device in patients that are discharged after<br /><br>they have been treated for ADHF. Assess agreement between a Hemodynamics model<br /><br>and the assessment of the degree of decompensation by the cardiologist.</p><br>