[Diagnosis of coronary artery lesions in children based on Z-score regression model].

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Tác giả: Yan Deng, Xiao-Ping Hu, Jia-Ying Jiang, Bo Li, Qian Peng, Ping Shuai, Yong Wang, Han Wu, Lu-Wei Ye, Yin-Yan Zhang

Ngôn ngữ: eng

Ký hiệu phân loại: 155.282 Diagnostic graphology

Thông tin xuất bản: China : Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 468760

OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively ( CONCLUSIONS: The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
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