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基于一种全新的优化多变量非等距模型对中国汉族成人左心室多普勒超声心动图测值生理性变异的校正方法
Guihua Yao, Xiangyun Chen, Wenjing Yang, Qing Zhang, Jing Liu, Huan Liang, Hui Sun, Yao Xu, Li Wang, Jinfeng Xu, Cheng Zhang, Fengrong Sun, Mei Zhang, Xueying Zeng, Yun Zhang
工程（英文） ›› 2022, Vol. 16 ›› Issue (9) : 115-122.
PDF(880 KB)
PDF(880 KB)
基于一种全新的优化多变量非等距模型对中国汉族成人左心室多普勒超声心动图测值生理性变异的校正方法
Correction of Left Ventricular Doppler Echocardiographic Measurements for Physiological Variances Using a Novel Optimized Multivariable Allometric Model in Healthy Chinese Han Adults
多数左心室（LV）多普勒超声心动图参数测值随年龄和性别显著变化，因此有必要对其生理性差异进行校正。本研究旨在验证：不同的多普勒参数测值与生物学特征变量间呈异速非线性相关，且其校正常数与校正指数各不同。共测量了1224名健康成人的23个LV多普勒参数。随机选择70%数据（A组）建立优化多变量非线性模型（OMAM），在30%数据（B组）和183名超重人群数据（C组）中验证OMAM的可靠性，并与基于体表面积（BSA）的单变量等距模型（SVIM）进行比较。结果显示，校正前，23个LV多普勒参数均与一个或多个生物学特征变量显著相关，B组中47.8% (11/23)的参数存在性别间差异，经OMAM校正后，81.8% (9/11)的参数消除了性别间差异。OMAM对B组和C组数据的校正成功率分别为100% (23/23)和82.6% (19/23)，建立了独立于生物学特征变量的多普勒参数的OMAM参考值，而基于BSA的SVIM校正成功率为零。不同的LV多普勒参数与一个或多个生物学特征变量呈异速非线性相关；本研究建立的OMAM成功校正了因生物学特征变量差异对健康和超重人群多普勒测值的生理性影响，其校正效果显著优于传统的SVIM。然而，OMAM针对其他种族、肥胖和疾病状态人群的适用性仍需进一步探究
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.
多普勒超声心动图 / 生理性变异 / 非等距模型 / 正常参考值
Doppler echocardiography / Physiological variance / Allometric model / Normal reference values
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