Heart Failure-USB: Prediction and Progression
University Hospital, Basel, Switzerland
6,000 participants
Jun 13, 2019
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria2
- Patients hospitalized with a primary diagnosis of ACS
- Patients hospitalized with a primary or secondary diagnosis of AHF
Exclusion Criteria1
- Existence of a documented statement of the patient against the scientific use of clinical data
Interventions
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
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT04000061