Key result
Predictive models using anthropometric indicators significantly estimated the height of the left aortic sinus (R=+0.759, p<0.001) and right coronary artery ostia (R=+0.632, p<0.001) in healthy men.
Why the study?
Computed tomography is the gold standard for aortic morphometry in preoperative planning, and predictive modeling of these parameters can save resources.
Observational (n=43)
Anthropometric indicators such as height, weight, and BMI can be used to predict the height of Valsalva sinuses and coronary artery ostia in healthy men, which may assist in preoperative planning.
Answers are grounded in this paper and cite their sources.
Anthropometric models may estimate aortic sinus and ostial heights in healthy men; leaves open prospective validation before preoperative use.
Computed tomography is the “gold standard” for performing aortic morphometry during preoperative planning in invasive cardiology and cardiac surgery. Predictive modeling of indicators can significantly save resources. The purpose of the study: to make modelling of Valsalva sinuses and coronary artery ostia height parameters depending on age-anthropometric indicators in healthy men based on computed tomography. The material is represented by contrast-enhanced computed tomography images of the aorta and coronary arteries of forty-three men under normal conditions. Methods: morphometric and statistical analyses. A multifactorial correlation-regression analysis was conducted to establish the complex influence of age-anthropometric parameters on sinuses of Valsalva and coronary artery ostia height. The reliability of the obtained indicators was confirmed by Fisher’s test (F). Using the Durbin-Watson autocorrelation criterion, the correctness of the built model was proved. In healthy men, weight (direct effect) and body mass index (inverse effect) significantly influenced the height of the lower edge of the right coronary artery ostia. The regression coefficient is R = +0.632, with p<0.001, the standard error of estimation (SEE) is 2.951. The obtained linear equation of the prognostic model: the level of the height of the departure of the lower edge of the right coronary artery ostia = 0.359×А1 – 1.099×А2 + 16.53. The correctness of the built model was checked using the Durbin–Watson autocorrelation test (2.181). The prognostic model for calculating the height of the left aortic sinus was formed by height and weight indicators (strong direct influence): R = +0.759, p<0.001, SEE = 2.208. The adjusted coefficient of multiple determination was R2adj = +0.562. The Durbin-Watson autocorrelation criterion was within the normal range (2.241). The linear equation of the prognostic model with the obtained β-coefficients: the level of the height of the left sinus of the aorta = 35.83 × А1 + 0.033 × А2 – 42.22. The work of prognostic models for individuals with different anthropometric and age parameters was verified. Thus, a model of the dependence of the indicator of the height of the left sinus of the aorta on height and weight was created; of the height of the deviation of the lower edge of the right coronary artery from weight and body mass index in healthy men based on computed tomography.
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Uliana Pidvalna (2023) conducted an observational in Healthy (n=43). Predictive modeling based on age-anthropometric indicators was evaluated on Height of the lower edge of the right coronary artery ostia and left aortic sinus (R = +0.759, p=<0.001). Predictive models using anthropometric indicators significantly estimated the height of the left aortic sinus (R=+0.759, p<0.001) and right coronary artery ostia (R=+0.632, p<0.001) in healthy men.
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