2022, Volume 16, Issue 9
Engineering >> 2022, Volume 16, Issue 9 doi: 10.1016/j.eng.2021.05.007
Correction of Left Ventricular Doppler Echocardiographic Measurements for Physiological Variances Using a Novel Optimized Multivariable Allometric Model in Healthy Chinese Han Adults
a Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education & Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese National Health Commission and Chinese Academy of Medical Sciences & the State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine & Department of Cardiology, Qilu Hospital, Shandong University, Jinan 250012, China
b Department of Cardiology, Qilu Hospital (Qingdao), Shandong University, Qingdao 266053, China
c Department of Biostatistics, School of Public Health, Shandong University, Jinan 250012, China
d Ultrasonography Department, Shenzhen People’s Hospital, Shenzhen 518020, China
e School of Microelectronics, Shandong University, Jinan 250101, China
f School of Mathematical Sciences, Ocean University of China, Qingdao 266100, China
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Abstract
Most left ventricular (LV) Doppler measurements vary significantly with age and gender, making it necessary to correct them for physiological variances. We aimed to verify the hypothesis that different Doppler measurements correlate nonlinearly with different biometric variables raised to different scaling factors and exponents. In this work, a total of 23 LV Doppler parameters were measured in 1224 healthy Chinese adults. An optimized multivariable allometric model (OMAM) and scaling equations were developed in 70% of the subjects (group A), and the reliability of the model and equations was verified using the remaining 30% of the subjects (group B) as well as 183 overweight subjects (group C). The single-variable isometric model (SVIM) with body surface area (BSA) as a scaling variable was used for comparison. Before correction, all 23 LV Doppler parameters correlated significantly with one or more of the biometric variables. In group B, gender differences were found in 47.8% (11/23) of the parameters and were eliminated in 81.8% (9/11) of the parameters after correction with OMAM. The successful correction rate with OMAM was 100% (23/23) in group B and 82.6% (19/23) in group C. New reference values for corrected Doppler measurements independent of biometric variables were established. The SVIM with BSA successfully corrected none of the 23 parameters. In conclusion, different LV Doppler parameters allometrically correlated with one or more of the biometric variables. The novel OMAM developed in this study successfully corrected the effects of the physiological variances of most biometric variables on Doppler measurements in healthy and overweight subjects, and was found to be far superior to the SVIM. However, whether the OMAM equations can be applied to other ethnicities, obese subjects, and pathological conditions requires further investigation.
Keywords
Doppler echocardiography ; Physiological variance ; Allometric model ; Normal reference values
SupplementaryMaterials
Figures
Fig. 1
References
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