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.

Plos One
|December 31, 2020
PubMed

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.
Abstract

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