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Updated: Dec 30, 2025

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Using BNP to develop a risk score for heart failure in primary care
David Adlam1, Paul Silcocks, Nigel Sparrow
1Department of Cardiovascular Medicine, Queen's Medical Centre, Nottingham, UK. davidadlam@dcotors.org.uk
Insights
A new scoring system using B-type natriuretic peptide (BNP), age, and clinical factors helps predict mortality in primary care heart failure patients. This tool aids risk stratification beyond single diagnostic values.
Area of Science:
- Cardiology
- Primary Care Medicine
- Biostatistics
Background:
- Chronic heart failure (CHF) presents a significant mortality risk.
- Accurate CHF diagnosis in primary care is challenging.
- Elevated B-type natriuretic peptide (BNP) indicates left ventricular systolic dysfunction and poor prognosis.
Purpose of the Study:
- Identify independent predictors of mortality in primary care patients on loop diuretics.
- Develop and validate a prognostic scoring system for heart failure in general practice.
Main Methods:
- Prospective follow-up of 532 patients for a mean of 6.4 years.
- Clinical assessment, ECG, echocardiography, and BNP measurements.
- Multivariate analysis to derive and validate a prognostic score.
Main Results:
- A prognostic score was generated: [0.50 x BNP + 5 x age + 50 x (CVA + sex + diabetes + ECG)].
- The score demonstrated good predictive accuracy (Harrell's c=0.75).
- Defined cut-off scores for risk stratification: 25th percentile (411), 50th (475), and 75th (524).
Conclusions:
- Prognostic scoring systems enable risk stratification without relying on single BNP cut-offs.
- Further validation of these scores can enhance the management of community-based heart failure.
Aims:
Chronic heart failure is a common condition with high mortality. Accurate diagnosis in primary care is difficult. Elevated B-type natriuretic peptide (BNP) is associated with left ventricular systolic dysfunction and increased mortality. Prognostic scoring systems using BNP may help to stratify risk in primary care patients. The aim of this research was to establish the independent variables which predict mortality in a primary care population-prescribed loop diuretics and to generate and validate a scoring system for heart failure in general practice.
Methods And Results:
Five hundred and thirty-two patients were followed up for a mean of 6.4 years after attending a research clinic for clinical assessment, electrocardiogram (ECG), echocardiography, and BNP. Multivariate analysis was used to establish independent prognostic variables and to generate a prognostic scoring system. The score generated was [0.50 x BNP+5 x age+50 x (CVA+sex+diabetes+ECG)]. The cut-off scores for risk groups were; 25th percentile, 411; 50th percentile, 475; 75th percentile, 524; Harrell's c=0.75.
Conclusion:
Developing prognostic scoring systems provides a means of risk stratifying patients without relying on a single cut-off diagnostic value for BNP. Further validation of such scoring systems may improve future management of community heart failure patients.
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