Related Experiment Video
Updated: Nov 8, 2025

07:56
Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
Published on: January 29, 2018
17.9K
Height Versus Body Surface Area to Normalize Cardiovascular Measurements in Children Using the Pediatric Heart
Joseph Mahgerefteh1,2, Wyman Lai3, Steven Colan4
1Children's Hospital at Montefiore, New York, NY, USA. Joseph.Mahgerefteh@mssm.edu.
Pediatric Cardiology
|April 20, 2021
Summary
Height-based normalization for pediatric cardiovascular measurements is feasible, but impacts Z-scores differently across body mass index (BMI) ranges compared to body surface area (BSA) normalization.
Area of Science:
- Pediatric Cardiology
- Biometry
- Medical Imaging Analysis
Background:
- Accurate normalization of cardiovascular measurements is crucial for comparing children and identifying pathological changes.
- Growing interest exists in utilizing height for normalizing pediatric cardiovascular data.
- Body surface area (BSA) has been the traditional method for normalization.
Purpose of the Study:
- To develop and compare height-based normalization models with BSA-based models for aortic and left ventricular (LV) measurements in children.
- To evaluate the impact of different normalization methods on Z-scores across varying body mass index (BMI) categories.
Main Methods:
- Utilized echocardiographic data from healthy children aged 2-18 years from the Pediatric Heart Network Echo Z-Score Project.
- Calculated Z-scores for proximal aortic diameters, LV end-diastolic volume, and LV mass using both height-based and BSA-based allometric normalization.
- Assessed relationships between Z-scores and demographic factors (age, sex, race, ethnicity) and BMI.
Main Results:
- Height-based and BSA-based normalization models for aortic and LV sizes are feasible in children.
- No significant relationships were found between Z-scores and age, sex, race, or ethnicity.
- Height-based normalization yielded lower Z-scores in underweight children and higher Z-scores in overweight children compared to BSA-based normalization.
Conclusions:
- Both height and BSA normalization are viable for pediatric cardiovascular measurements.
- Height-based normalization leads to higher Z-scores in heavier children, while BSA-based normalization favors lighter children.
- Further research is needed to validate these methods in obese children, with and without cardiac conditions.
Related Concept Videos
z Scores and Area Under the Curve
15.9K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
15.9K
Applications of Normal Distribution
8.1K
The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
8.1K
Introduction to z Scores
858
A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
858
Introduction to z Scores
10.6K
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
10.6K
Drug Dosing: Infants and Children
74
Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
74
z Scores and Unusual Values
10.7K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
10.7K

