Heart Failure-USB: Prediction and Progression

January 25, 2024 updated by: University Hospital, Basel, Switzerland
This retrospective cohort study is to identify triggers of heart failure (HF) development and drivers of HF progression as well as the underlying cardiac disease (phenotype) to identify patients at risk and predict the clinical course of the disease. Data of patients who were hospitalized during the years 2010-2023 with acute coronary syndrome (ACS) and/ or with acute heart failure (AHF) will be collected and analyzed. In a subgroup cohort efficacy and safety of digoxin in patients with acute heart failure triggered by tachyarrhythmia will be evaluated.

Study Overview

Study Type

Observational

Enrollment (Estimated)

6000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Basel, Switzerland, 4031
        • Recruiting
        • Cardiology, University Hospital Basel
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients that were hospitalized at the Universitätsspital Basel/ Switzerland with the diagnosis of ACS or AHF during the years 2010 - 2023

Description

Inclusion Criteria:

  • Patients hospitalized with a primary diagnosis of ACS
  • Patients hospitalized with a primary or secondary diagnosis of AHF

Exclusion Criteria:

  • Existence of a documented statement of the patient against the scientific use of clinical data

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
acute coronary syndrome (ACS)
Outcome information (all-cause death, heart failure (HF) hospitalizations) of patients hospitalized with a primary diagnosis of ACS is analyzed.
data generated by medical review include Medical history, Medications at presentation, during hospitalization and at discharge, New York Heart Association (NYHA) class, Killip class, Electrocardiographic (ECG) data, echocardiographic data, Interventions (Percutaneous Coronary Intervention (PCI), Coronary Artery Bypass Graft (CABG), Implantable Cardioverter Defibrillator (ICD) implantation, Cardiac Resynchronization Therapy (CRT) Implantation), Outcome Information: all-cause death, HF hospitalizations
data generated by direct IT export include Anthropometric data (age, sex, height, weight), Vital signs, Laboratory data
acute heart failure (AHF)
Outcome information (all-cause death, heart failure (HF) hospitalizations) of patients hospitalized with a primary or secondary diagnosis of AHF is analyzed.
data generated by medical review include Medical history, Medications at presentation, during hospitalization and at discharge, New York Heart Association (NYHA) class, Killip class, Electrocardiographic (ECG) data, echocardiographic data, Interventions (Percutaneous Coronary Intervention (PCI), Coronary Artery Bypass Graft (CABG), Implantable Cardioverter Defibrillator (ICD) implantation, Cardiac Resynchronization Therapy (CRT) Implantation), Outcome Information: all-cause death, HF hospitalizations
data generated by direct IT export include Anthropometric data (age, sex, height, weight), Vital signs, Laboratory data

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
number of all-cause death
Time Frame: 1 to 8 years after hospitalization
number of all-cause death in patients hospitalized with ACS and AHF during the years 2010-2023.
1 to 8 years after hospitalization
number of HF hospitalizations
Time Frame: 1 to 8 years after hospitalization
number of new HF hospitalizations in patients hospitalized with ACS and AHF during the years 2010-2023
1 to 8 years after hospitalization
number of cardiovascular death
Time Frame: 1 to 8 years after hospitalization
number of cardiovascular death in patients hospitalized with ACS and AHF
1 to 8 years after hospitalization
number of cardiovascular hospitalizations
Time Frame: 1 to 8 years after hospitalization
number of cardiovascular hospitalizations
1 to 8 years after hospitalization

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Christian Müller, Prof. Dr., Cardiology University Hospital Basel

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 13, 2019

Primary Completion (Estimated)

July 1, 2027

Study Completion (Estimated)

July 1, 2027

Study Registration Dates

First Submitted

June 25, 2019

First Submitted That Met QC Criteria

June 25, 2019

First Posted (Actual)

June 27, 2019

Study Record Updates

Last Update Posted (Actual)

January 26, 2024

Last Update Submitted That Met QC Criteria

January 25, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • 2019-00956; me19Mueller

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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