Key result
The mathematical model estimations were significantly correlated with SphygmoCor assessments, though the model significantly overestimated central systolic pressure by a mean of 7.8 mmHg.
Why the study?
Does a multiscale mathematical model accurately estimate central blood pressure compared to the SphygmoCor device in young males?
Cross-Sectional (n=51)
No
Does a multiscale mathematical model accurately estimate central blood pressure compared to the SphygmoCor device in young males?
Mean Difference: 7.8 (95% CI -2.2–14)
Absolute Event Rate: 109% vs 101.2%
p-value: p=0.0003
A subject-specific mathematical model can estimate central blood pressure with significant correlation to the validated SphygmoCor device, though with some systematic over/underestimation.
Model correlates with SphygmoCor for central pressures in young males; leaves open accuracy and utility in broader populations.
INTRODUCTION: Current evidence suggests that aortic blood pressure has a superior prognostic value with respect to brachial pressure for cardiovascular events, but direct measurement is not feasible in daily clinical practice. AIM: The aim of the present study is the clinical validation of a multiscale mathematical model for non-invasive appraisal of central blood pressure from subject-specific characteristics. METHODS: A total of 51 young male were selected for the present study. Aortic systolic and diastolic pressure were estimated with a mathematical model and were compared to the most-used non-invasive validated technique (SphygmoCor device, AtCor Medical, Australia). SphygmoCor was calibrated through diastolic and systolic brachial pressure obtained with a sphygmomanometer, while model inputs consist of brachial pressure, height, weight, age, left-ventricular end-systolic and end-diastolic volumes, and data from a pulse wave velocity study. RESULTS: Model-estimated systolic and diastolic central blood pressures resulted to be significantly related to SphygmoCor-assessed central systolic (r = 0.65 p <0.0001) and diastolic (r = 0.84 p<0.0001) blood pressures. The model showed a significant overestimation of systolic pressure (+7.8 (-2.2;14) mmHg, p = 0.0003) and a significant underestimation of diastolic values (-3.2 (-7.5;1.6), p = 0.004), which imply a significant overestimation of central pulse pressure. Interestingly, model prediction errors mirror the mean errors reported in large meta-analysis characterizing the use of the SphygmoCor when non-invasive calibration is performed. CONCLUSION: In conclusion, multi-scale mathematical model predictions result to be significantly related to SphygmoCor ones. Model-predicted systolic and diastolic aortic pressure resulted in difference of less than 10 mmHg in the 51% and 84% of the subjects, respectively, when compared with SphygmoCor-obtained pressures.
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Tosello et al. (2016) conducted a cross-sectional in Healthy (n=51). Subject-specific mathematical model for central blood pressure vs. SphygmoCor device was evaluated on Central systolic blood pressure (MD 7.8 mmHg, 95% CI -2.2 to 14, p=0.0003). The mathematical model estimations were significantly correlated with SphygmoCor assessments, though the model significantly overestimated central systolic pressure by a mean of 7.8 mmHg.
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