Mitral and tricuspid valve anular diameter in normal children determined by two-dimensional echocardiography. 1985

D H King, and E O Smith, and J C Huhta, and H P Gutgesell

To establish normal values for atrioventricular valve anular diameter in children, we measured the diameter of the mitral and tricuspid valve anuli from 2-dimensional echocardiograms in 103 children aged 1 day to 15 years. Measurements of the mitral valve anulus were made from the parasternal long axis and the apical or subcostal 4-chamber views. The tricuspid valve was measured from the subcostal or apical 4-chamber view. Multiple regression analyses were performed comparing valve anular diameter to weight and body surface area and their respective square root, cube root and logarithmic functions. Mitral and tricuspid anular diameter increased in proportion to the logarithm of weight and body surface area. The best predictor of valve anular diameter was a logarithmic function of body surface area with a calculated correlation coefficient ranging from 0.90 to 0.93 for the 3 anular dimensions. Knowledge of the normal atrioventricular valve anular diameter should be useful in planning palliative or corrective surgery in children with congenital heart disease.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D007231 Infant, Newborn An infant during the first 28 days after birth. Neonate,Newborns,Infants, Newborn,Neonates,Newborn,Newborn Infant,Newborn Infants
D008943 Mitral Valve The valve between the left atrium and left ventricle of the heart. Bicuspid Valve,Bicuspid Valves,Mitral Valves,Valve, Bicuspid,Valve, Mitral,Valves, Bicuspid,Valves, Mitral
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D001830 Body Surface Area The two dimensional measure of the outer layer of the body. Area, Body Surface,Areas, Body Surface,Body Surface Areas,Surface Area, Body,Surface Areas, Body
D001835 Body Weight The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms. Body Weights,Weight, Body,Weights, Body
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D004452 Echocardiography Ultrasonic recording of the size, motion, and composition of the heart and surrounding tissues. The standard approach is transthoracic. Echocardiography, Contrast,Echocardiography, Cross-Sectional,Echocardiography, M-Mode,Echocardiography, Transthoracic,Echocardiography, Two-Dimensional,Transthoracic Echocardiography,2-D Echocardiography,2D Echocardiography,Contrast Echocardiography,Cross-Sectional Echocardiography,Echocardiography, 2-D,Echocardiography, 2D,M-Mode Echocardiography,Two-Dimensional Echocardiography,2 D Echocardiography,Cross Sectional Echocardiography,Echocardiography, 2 D,Echocardiography, Cross Sectional,Echocardiography, M Mode,Echocardiography, Two Dimensional,M Mode Echocardiography,Two Dimensional Echocardiography
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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