2019
DOI: 10.1016/j.echo.2019.02.010
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A Novel Mathematical Model for Correcting the Physiologic Variance of Two-Dimensional Echocardiographic Measurements in Healthy Chinese Adults

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Cited by 9 publications
(5 citation statements)
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“…Despite its slight advantage over BSA for the correction of cardiac dimensions, height did not achieve satisfactory correction results for aortic dimensions in the present study. In our lately published study, 33 we confirmed that cardiovascular dimensions, including the aorta were nonlinearly or curvilinearly correlated with age and body size. We developed a novel optimized multivariate allometric model to successfully correct the physiological discrepancies of 2DE parameters induced by age, gender, and body size.…”
Section: Discussionsupporting
confidence: 75%
“…Despite its slight advantage over BSA for the correction of cardiac dimensions, height did not achieve satisfactory correction results for aortic dimensions in the present study. In our lately published study, 33 we confirmed that cardiovascular dimensions, including the aorta were nonlinearly or curvilinearly correlated with age and body size. We developed a novel optimized multivariate allometric model to successfully correct the physiological discrepancies of 2DE parameters induced by age, gender, and body size.…”
Section: Discussionsupporting
confidence: 75%
“…At present, indexing echocardiographic measurements of cardiac chambers by BSA is recommended by the ASE/EACVI guidelines 12 . However, our previous study revealed that the total success rate of correcting for 34 2D echocardiographic parameters, including isometric weight, height, body mass index, and BSA was only 11% 24 . Similarly, the WASE 3D‐LV study failed to correct for the impact of race on 3D‐LV volume using isometric BSA 23 .…”
Section: Discussionmentioning
confidence: 94%
“…used several methods including BSA, BSA 1.5 , BSA 1.8 , height, height 2.3 , height 2.9 , and estimated lean body mass, to index of 3D‐LV end‐diastolic volume; however, these methods failed to correct the difference between races and nationalities 25 . Recently, our group developed an optimized multivariate allometric model using different scaling equations for different echocardiographic parameters, and achieved a high success rate of correction (100%) for 34 parameters measured by 2D echocardiography 24 . However, whether this model can be used to correct physiological variance in 3D‐RV measurements awaits further investigation.…”
Section: Discussionmentioning
confidence: 99%
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