Improving Heart Rate Estimates of Energy Use in Stroke Patients
Author Information
Author(s): Cataldo Anna Roto, Fei Jie, Hutchinson Karen J., Sloutsky Regina, Starr Julie, De Rossi Stefano M. M., Awad Louis N.
Primary Institution: Boston University
Hypothesis
Incorporating clinical variables such as BMI, age, sex, and comfortable walking speed will improve the accuracy of heart rate-based estimates of energy expenditure in stroke patients.
Conclusion
Heart rate-based estimates of energy expenditure in stroke patients are inaccurate but can be significantly improved by including clinical variables.
Supporting Evidence
- Heart rate-based estimates of energy expenditure were found to be inaccurate with a mean absolute error of 3.11 mL O2/kg/min.
- Incorporating BMI, age, and sex improved estimation accuracy by 36.01%.
- Reliability of estimates increased from an ICC of 0.68 to 0.88 with the addition of clinical variables.
- Exercise intensity classification accuracy improved from 67% to 87% with the new estimation equation.
Takeaway
This study shows that using heart rate alone to measure how much energy stroke patients use during exercise isn't very accurate, but adding simple health information can make it much better.
Methodology
Sixteen stroke patients completed treadmill walking exercises while their heart rate and oxygen consumption were measured to develop and validate estimation equations.
Potential Biases
Potential bias due to the non-blinded nature of data collection.
Limitations
The study sample was homogenous and may not represent the full range of post-stroke patients, and the data collection was not blinded.
Participant Demographics
Participants were 55.63 years old on average, 31.25% female, and had a BMI of 26.46 kg/m2.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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