[Normal reference values and predict equations of heart function].

Area of Science:

• Cardiovascular imaging and physiology
• Biostatistics and predictive modeling

Background:

• Normal ranges for heart functional parameters are commonly used but lack comprehensive reference values and predictive formulas.
• Understanding the relationship between individual characteristics and heart function is crucial for accurate assessment.

Purpose of the Study:

• To establish reference values and predictive formulas for heart functional parameters.
• To investigate the relationship between individual characteristics (age, gender, height, weight) and left ventricular (LV) functional parameters.

Main Methods:

• Cardiac CT angiography (CAT) was used to measure LV volumes (end-diastolic, end-systolic), stroke volume (SV), ejection fraction (EF), and cardiac output (CO) in 1,200 healthy Caucasian volunteers.
• High-accuracy 3D imaging technology analyzed dynamic changes during cardiac cycles.
• Multiple linear regression analyzed gender, age, height, and weight as predictors of LV functional parameters.

Main Results:

• Men exhibited higher end-diastolic volume, end-systolic volume, stroke volume, and cardiac output compared to women (P < 0.001).
• Left ventricular ejection fraction was lower in men than in women (P < 0.001).
• Age, gender, height, and weight independently predicted EDV, ESV, and SV (P < 0.001). Cardiac output was predicted by age, gender, and weight (P < 0.001).

Conclusions:

• Age, gender, height, and weight are significant predictors of heart function.
• Established reference values and predictive equations are vital for noninvasive cardiovascular disease evaluation and personalized treatment strategies.