Related Experiment Video
Updated: Nov 23, 2025

A Surgical Model of Heart Failure with Preserved Ejection Fraction in Tibetan Minipigs
Published on: February 18, 2022
Diagnosis, treatment, and follow-up of heart failure patients by general practitioners: A Delphi consensus statement
Caroline Verhestraeten1, Gijs Weijers2, Daphne Debleu1
1Novartis Pharma nv-sa, Vilvoorde, Belgium.
Insights
A new algorithm aids general practitioners in early heart failure detection and patient management. Developed via expert consensus, it emphasizes diagnosis and follow-up, improving patient care.
Area of Science:
- Cardiology
- General Practice
- Health Informatics
Background:
- Heart failure diagnosis and management present challenges for general practitioners.
- Early recognition and consistent follow-up are crucial for improving heart failure patient outcomes.
Purpose of the Study:
- To develop a consensus-based algorithm for general practitioners to aid in early heart failure diagnosis and patient follow-up.
- To integrate key clinical parameters, patient history, and anamnesis into a practical diagnostic tool.
Main Methods:
- A Delphi panel technique involving fifteen general practitioners and seven cardiologists from Belgium.
- Three iterative rounds of consensus-building on statements regarding diagnosis, referral, treatment, and follow-up.
- Consolidation of consensus statements into a structured algorithm.
Main Results:
- High consensus was achieved for diagnostic, referral, and follow-up statements.
- An algorithm was developed, highlighting medical history, anamnesis, and clinical examination as key diagnostic pillars.
- The algorithm guides general practitioners in initial NT-proBNP testing and referral protocols.
Conclusions:
- The developed algorithm effectively supports general practitioners in diagnosing and managing heart failure.
- A multidisciplinary approach between general practitioners and cardiologists is essential for optimal patient care and medication management.
- The algorithm facilitates early detection and improved follow-up, enhancing the overall care process for heart failure patients.
Aims:
Creation of an algorithm that includes the most important parameters (history, clinical parameters, and anamnesis) that can be linked to heart failure, helping general practitioners in recognizing heart failure in an early stage and in a better follow-up of the patients.
Methods And Results:
The algorithm was created using a consensus-based Delphi panel technique with fifteen general practitioners and seven cardiologists from Belgium. The method comprises three iterations with general statements on diagnosis, referral and treatment, and follow-up. Consensus was obtained for the majority of statements related to diagnosis, referral, and follow-up, whereas a lack of consensus was seen for treatment statements. Based on the statements with good and perfect consensus, an algorithm for general practitioners was assembled, helping them in diagnoses and follow-up of heart failure patients. The diagnosis should be based on three essential pillars, i.e. medical history, anamnesis and clinical examination. In case of suspected heart failure, blood analysis, including the measurement of NT-proBNP levels, can already be performed by the general practitioner followed by referral to the cardiologist who is then responsible for proper diagnosis and initiation of treatment. Afterwards, a multidisciplinary health care process between the cardiologist and the general practitioner is crucial with an important role for the general practitioner who has a key role in the up-titration of heart failure medication, down-titration of the dose of diuretics and to assure drug compliance.
Conclusions:
Based on the consensus levels of statements in a Delphi panel setting, an algorithm is created to help general practitioners in the diagnosis and follow-up of heart failure patients.
More Related Videos
09:20Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
14:35Post-Myocardial Infarction Heart Failure in Closed-chest Coronary Occlusion/Reperfusion Model in Göttingen Minipigs and Landrace Pigs
Published on: April 17, 2021
Related Concept Videos
Rheumatic Heart Disease III: Medical Management
Heart Failure VII: Nursing Interventions
Heart Failure IV: Classification and Diagnostic Evaluation
Heart Failure V: Medical Management
Cardiomyopathy V: Interprofessional Care
Heart Failure VI: Adjunct Therapies