Development of normative values for resting and exercise rate pressure product

Area of Science:

• Cardiovascular physiology
• Exercise science
• Biostatistics

Background:

• The rate pressure product (RPP) is a valuable indicator of myocardial oxygen demand during rest and exercise.
• Accurate quantification of RPP is essential for assessing cardiovascular function and exercise capacity.
• Existing methods for RPP calculation may not fully account for various physiological and demographic factors.

Purpose of the Study:

• To develop multivariate regression models for quantifying resting, submaximal, and maximal rate pressure products (RPP).
• To identify key physiological and demographic predictors of RPP across different exertion levels.

Main Methods:

• A large validation sample (N=1623) of clinically healthy individuals was used to develop multiple regression equations.
• Cross-validation was performed on four clinical cohort samples, including patients with and without cardiovascular medication and with positive or negative exercise ECG results.
• Key predictors included gender, age, body mass index (BMI), physical activity level (Ex-code), and percent of maximal heart rate (%HRmax).

Main Results:

• Gender, BMI, and physical activity level significantly predicted resting RPP.
• Gender, age, BMI, and physical activity level significantly predicted maximal RPP.
• Gender, age, BMI, physical activity level, and %HRmax significantly predicted submaximal RPP, with the highest multiple correlation (0.87).
• Models demonstrated accuracy in populations not taking cardiovascular medication.

Conclusions:

• Normative RPP values are dependent on multiple fitness parameters.
• Practical regression models for RPP have been developed and validated for use in individuals not on cardiovascular medication.
• These models can aid in the clinical assessment of cardiovascular function.