Methods to identify heart failure patients in general practice and their impact on patient characteristics: A

Miek Smeets1, Séverine Henrard2, Bert Aertgeerts3

  • 1Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.

Insights

Identifying heart failure (HF) in general practice is difficult. A review of 105 studies found HF predominantly affects older women with hypertension, not those with ischemic heart disease, regardless of identification method.

Area of Science:

  • Cardiology
  • General Practice
  • Epidemiology

Background:

  • Identifying patients with heart failure (HF) in general practice presents significant challenges.
  • Accurate identification is crucial for timely and effective patient management.

Purpose of the Study:

  • To provide an overview of methods used for identifying HF patients in general practice.
  • To assess the impact of these identification methods on patient characteristics.

Main Methods:

  • A systematic review of 105 studies involving 196,105 patients was conducted.
  • Five primary HF identification methods were analyzed: echocardiography, GP chart review of echocardiography results, GP judgment after chart review, GP judgment of consecutive patients, and chart review alone.
  • Pooled data analysis and linear regression were employed.

Main Results:

  • The predominant HF phenotype in general practice comprises older women with hypertension, rather than those with ischemic heart disease.
  • Only 30% of studies utilized echocardiography results.
  • Identification method had a limited impact on patient characteristics, but study design, particularly randomized-controlled trials (RCTs), influenced patient phenotype (younger, male, ischemic heart disease).

Conclusions:

  • The predominant heart failure population in general practice consists of older women with hypertension.
  • Heterogeneity in HF identification methods, due to the lack of a gold standard, had minimal impact on patient characteristics.
  • RCTs include a different HF patient phenotype, highlighting the need to better represent real-world HF patients in research.
Abstract

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