Prospective Registry of Acute Heart Failure

May 4, 2023 updated by: Sebastian Carballo

Context:

Heart failure is associated with a high morbidity and mortality rate and represents a significant worldwide public health burden. In European countries, the total amount of the expenses related to heart failure represents 1 to 2% of the total health budget with 75% spent during hospitalizations, making heart failure the most expensive pathology in cardiology. Acute heart failure (AHF) has a poor prognosis despite improvements in therapy. Hospital mortality is 2 to 4% the risk of death or readmission in the six months following hospitalization is high.

Patients hospitalized for heart failure represent a very heterogeneous population in terms of etiologies, clinical presentations and/or co-morbidities. Consequently, this implies variable outcomes in terms of morbidity and mortality, probably due to their different prognostic factors. The precise spectrum of etiologies and prognostic factors of AHF in non selected populations has not been exhaustively studied and only a few predictive models concerning AHF have been validated.

Ischemic heart disease, valvulopathy, arrhythmias, infections, hypertension and lack of therapeutic compliance are often quoted as being the factors triggering heart failure. Some triggering factors (ischemic heart disease, pulmonary infections, acute renal failure) seem to be strongly associated with a poor prognosis in terms of hospital/out-patient mortality and re-hospitalization rate.

The complex relation between heart failure and acute renal failure is defined by the cardio-renal syndrome. Thirty percent of patients hospitalized for AHF will be diagnosed with an acute renal failure at admission or with worsening kidney failure during hospitalization. It seems that heart failure and cardio-renal syndrome are two distinct entities with a different prognosis. The type of acute renal failure (functional, renal or post-renal) in these patients and the prognostic value of these etiologies is still not firmly established.

A thorough determination of the etiologies and prognostic factors of AHF are necessary in order to allow the identification of high-risk patients and the improvement of heart failure management.

Objectives:

  • To create an observational registry of all patients hospitalized for a AHF
  • To determine the precise prevalence of etiologies and the prognostic factors of AHF in a non selected population. Among the prognostic factors, to establish the specific role of acute renal failure
  • To establish the optimal initial assessment of patients hospitalized for heart failure
  • To validate and compare with prospective data the results of a retrospective cohort study carried out at the University Hospital of Geneva who established the re-hospitalization and mortality outcome of patients hospitalized for heart failure.

Method:

Creation of an observational registry associated with a biobank including patients hospitalized for AHF in the Department of General Internal medicine (SMIG) and in the Departments of Specialties at the University Hospital of Geneva.

Anticipated results:

  • To identify the prevalence of the etiologies and the prognostic factors of the heart failure
  • To establish the optimal initial assessment of the patients hospitalized for a heart failure. Among the prognostic factors, to establish the specific role of acute renal failure
  • To validate and compare results of a retrospective cohort study carried out at the University Hospital of Geneva which established the re-hospitalization and mortality outcome of patients hospitalized AHF
  • To improve the management of hospitalized patients with AHF with a robust identification of the etiologies and a better identification of high-risk patients.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

1200

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 Locations

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

16 years to 100 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients hospitalized for an acute heart failure

Description

Inclusion Criteria:

  • Usual clinical presentation of acute heart failure as defined by the European Society of Cardiology : Gradual onset or new or worsening symptoms of rapid heart failure (eg, dyspnea, edema of the lower limbs and tiredness ) and signs of heart failure (eg elevation of jugular venous pressure, crackles, moving the shock peak) requiring urgent treatment.
  • Brain natriuretic peptide or value of brain natriuretic peptide (BNP) greater than 100 ng / L.

Exclusion Criteria:

  • Inability or refusal to consent to participate in the study cohort.

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Prevalence of different clinical presentations of the acute heart failure
Time Frame: baseline
baseline
Prevalence of the triggers of the acute heart failure
Time Frame: baseline
baseline
Prognostic factors (including the acute renal failure and worsening renal function) in the acute heart failure
Time Frame: baseline
baseline
Rehospitalization and early and late mortality
Time Frame: 30 days, 90days, 1 year and 2 years
30 days, 90days, 1 year and 2 years

Collaborators and Investigators

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

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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

December 1, 2014

Primary Completion (Anticipated)

November 1, 2026

Study Completion (Anticipated)

November 1, 2026

Study Registration Dates

First Submitted

May 12, 2015

First Submitted That Met QC Criteria

May 13, 2015

First Posted (Estimate)

May 14, 2015

Study Record Updates

Last Update Posted (Estimate)

May 5, 2023

Last Update Submitted That Met QC Criteria

May 4, 2023

Last Verified

May 1, 2023

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 14-019

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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