Indexation with an optimized multivariate allometric model achieved a 100% success rate in correcting ethnicity-related differences in aortic dimensions, compared to 0% with body surface area.
Cross-Sectional (n=1,820)
Yes
Does the OMAM approach improve the correction of echocardiographic aortic dimensions for physiological and ethnic variances compared to the BSA approach in healthy adults?
The OMAM approach is superior to BSA for indexing echocardiographic aortic dimensions, successfully eliminating physiological and ethnic variances.
Absolute Event Rate: 100% vs 0%
ABSTRACT Aortic dimensions differ between ethnic groups. To correct the ethnicity‐related differences in aortic dimensions, Ao‐a, Ao‐s, and Ao‐asc were measured by echocardiography in a total of 1820 Chinese and Italian healthy adults. The correction equations based on an optimized multivariate allometric model (OMAM) were constructed and tested, and the correction efficacies of the two approaches of body surface area (BSA) and OMAM were compared. The aortic dimensions were found to vary with physiological variables and ethnicities (all p 0.05). The success rate of the BSA approach was 0%, while that of the OMAM approach was 100% for correcting all aortic dimensions in Chinese, Italian, and combined populations, respectively. In conclusion, the OMAM approach is superior to BSA approach in correcting the variations in aortic dimensions. Using OMAM as a novel indexing tool may facilitate establishing universal cutoffs between normal and abnormal aortic dimensions among different ethnic populations in the world.
Yao et al. (Fri,) conducted a cross-sectional in Healthy adults (n=1,820). Optimized multivariate allometric model (OMAM) vs. Body surface area (BSA) was evaluated on Success rate for correcting all aortic dimensions. Indexation with an optimized multivariate allometric model achieved a 100% success rate in correcting ethnicity-related differences in aortic dimensions, compared to 0% with body surface area.