Key result
OMAM successfully corrects 100% of LV Doppler parameters vs the single-variable isometric model.
Why the study?
Most LV Doppler measurements vary significantly with age and gender, requiring correction for physiological variances using hypothesized nonlinear multivariable allometric scaling.
Does an optimized multivariable allometric model improve the correction of left ventricular Doppler echocardiographic measurements for physiological variances compared to a single-variable isometric model in healthy and overweight Chinese adults?
Cross-Sectional (n=1,407)
Does an optimized multivariable allometric model improve the correction of left ventricular Doppler echocardiographic measurements for physiological variances compared to a single-variable isometric model in healthy and overweight Chinese adults?
Absolute Event Rate: 100% vs 0%
A novel optimized multivariable allometric model successfully corrects left ventricular Doppler echocardiographic measurements for physiological variances, outperforming the traditional single-variable isometric model with BSA.
OMAM may aid LV Doppler normalization in research settings; leaves open clinical utility pending prospective validation.
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.
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Yao et al. (2021) conducted a cross-sectional in Healthy and overweight adults (n=1,407). Optimized multivariable allometric model (OMAM) vs. Single-variable isometric model (SVIM) with body surface area (BSA) was evaluated on Successful correction rate of left ventricular Doppler parameters. The optimized multivariable allometric model (OMAM) successfully corrected 100% of left ventricular Doppler parameters in healthy adults compared to 0% with the single-variable isometric model.
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