A milestone in prediction of the coronary artery dimensions from the multiple linear regression equation

Autor: J. Ezhilan, S. Vijayakumar, Shawon Ashraf, A. Divia Paul., Anuj Kapadiya
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Indian Heart Journal, Vol 71, Iss 4, Pp 328-333 (2019)
Indian Heart Journal
ISSN: 0019-4832
Popis: Bachground /aim: Coronary artery imaging is one of the most commonly used diagnostic methods. We aimed to investigate whether there is a correlation between left main coronary artery (LMCA), left anterior descending artery (LAD) and left circumflex artery (LCx) artery dimensions in normal cases and a possibility to express the coronary dimensions by multiple linear equations. Materials and methods: Images of coronary angiograms of 925 normal cases selected from 3855 cases made up the study population (515 men and 410 women; age range, 30–75 years). The mean age of the patients was 55.50 ± 6.49 years. The mean body mass index was 24.79 ± 1.45 kg/m2 (range, 31.30–21.26 kg/m2). The mean dimensions of LMCA, LAD and LCx were 4.18 ± 0.65 mm, 3.22 ± 0.63 mm and 3.07 ± 0.65 mm, respectively. Correlation between LMCA, LAD and LCx diameters was investigated. Multiple linear regression analysis was used to develop a model to elucidate the relationship between LMCA, LAD and LCx diameters. Results: There was a strong correlation between LMCA dimensions and LAD and LCx dimensions (r = 0.526**, p
Databáze: OpenAIRE