Profile for estimating risk of heart failure

Area of Science:

• Cardiology
• Preventive Medicine
• Medical Informatics

Background:

• Heart failure risk assessment is crucial for individuals with predisposing conditions like coronary disease, hypertension, or valvular heart disease.
• Early identification of high-risk individuals can lead to timely interventions and improved patient outcomes.

Purpose of the Study:

• To develop a cost-effective risk appraisal function for general practitioners and internists.
• To identify patients at high risk for impaired left ventricular systolic function, necessitating further evaluation and aggressive preventive strategies.

Main Methods:

• Utilized routinely measured risk factors: age, electrocardiographic left ventricular hypertrophy, cardiomegaly, heart rate, systolic blood pressure, vital capacity, diabetes, myocardial infarction, and hypertension/valvular disease.
• Computed 4-year heart failure probabilities using a pooled logistic regression model and a point score system based on 486 cases over 38 years.
• Developed a multivariate profile excluding vital capacity and chest x-ray for broader clinical applicability.

Main Results:

• The multivariate risk formulation allows estimation and comparison of an individual's heart failure probability against age- and sex-matched averages.
• The top quintile of multivariate risk identified 60% of heart failure events in men and 73% in women.

Conclusions:

• The multivariate risk formulation effectively identifies high-risk individuals for heart failure with a high likelihood of positive findings for presymptomatic left ventricular dysfunction.
• This risk profile can also detect individuals with multiple, marginal risk factors that might otherwise be overlooked, highlighting their elevated risk.