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Determinants of total body oxygen consumption in adults undergoing cardiac catheterization
Insights
This study identified key factors influencing oxygen consumption index (OCI) in cardiac patients. Sex, age, and heart rate are primary predictors, with propranolol showing no significant effect after heart rate adjustment.
Area of Science:
- Cardiology
- Physiology
Background:
- Understanding factors affecting oxygen consumption is crucial for cardiovascular health assessment.
- Oxygen Consumption Index (OCI) is a key metric in evaluating cardiac function.
Purpose of the Study:
- To identify the strongest predictors of Oxygen Consumption Index (OCI) in a diverse patient cohort.
- To investigate the influence of sex, age, heart rate, and propranolol on OCI.
- To develop a predictive model for OCI.
Main Methods:
- Oxygen consumption was measured in 500 patients undergoing cardiac catheterization.
- Statistical analysis, including linear regression, was employed to identify predictors of OCI.
- Patient data included sex, age, heart rate, and propranolol treatment status.
Main Results:
- Sex, age, and heart rate were identified as the strongest predictors of OCI.
- Males exhibited higher OCI than females; older patients had lower OCI than younger patients.
- Propranolol treatment showed an inverse correlation with OCI, but this effect diminished after heart rate correction.
Conclusions:
- Sex, age, and heart rate significantly impact OCI in cardiac patients.
- The predictive model developed can aid in estimating OCI when direct measurement is not feasible.
- Propranolol's effect on OCI is largely mediated by its impact on heart rate.
Abstract:
Oxygen consumption was measured in 500 patients (151 F, 349 M, ages 12-84 yr.) undergoing routine cardiac catheterization. Sex, age, and heart rate were found to be the strongest predictors of oxygen consumption index (OCI). Males had higher OCI values than females at any age. Older patients of both sexes had lower OCI values than younger patients. Heart rate correlated directly with OCI. Treatment with propranolol correlated inversely with OCI. However, after correction for heart rate, there were no significant differences in OCI values between propranolol treated and nontreated patients. A linear regression equation was developed using combinations of variables to predict OCI, and tables are presented for predicting OCI in those patients in whom this variable cannot be directly measured.