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BMI curves for preterm infants
Irene E Olsen1, M Louise Lawson2, A Nicole Ferguson3
1School of Nursing, University of Pennsylvania, Biology and Physics, and ieolsen@yahoo.com.
Insights
This study developed new Body Mass Index (BMI) growth curves for preterm infants, offering a better way to track growth in the Neonatal Intensive Care Unit (NICU). These validated curves help assess infant development and identify potential growth issues.
Area of Science:
- Neonatalogy
- Pediatric Growth and Development
- Biostatistics
Background:
- Preterm infants often exhibit disproportionate growth post-discharge, presenting as large weight-for-length despite small weight-for-age.
- Existing growth charts may not accurately reflect the growth patterns of infants born prematurely.
Purpose of the Study:
- To create and validate intrauterine weight-for-length growth curves for preterm infants.
- To utilize a contemporary, large, and racially diverse US birth sample for curve development.
- To establish gender-specific Body Mass Index (BMI)-for-age curves for neonatal intensive care unit (NICU) populations.
Main Methods:
- Utilized data from 391,681 US infants (22-42 weeks gestational age, 1998-2006).
- Determined the optimal weight-for-length ratio (BMI) using established statistical methods.
- Developed smoothed percentile curves (3rd-97th) via the Lambda Mu Sigma (LMS) method.
- Validated the curves using separate subsamples.
Main Results:
- Body Mass Index (BMI) emerged as the most suitable weight-for-length ratio across genders and gestational ages.
- Gender-specific BMI-for-age curves were created for 254,454 singleton infants and successfully validated.
- Validation sample z-scores approximated zero, indicating successful curve calibration.
Conclusions:
- Significant differences in BMI were observed across gender and gestational age in preterm infants.
- Validated, gender-specific BMI reference curves are now available for NICU use.
- These curves complement existing weight-, length-, and head-circumference-for-age charts for comprehensive infant growth tracking.
Background And Objectives:
Preterm infants experience disproportionate growth failure postnatally and may be large weight for length despite being small weight for age by hospital discharge. The objective of this study was to create and validate intrauterine weight-for-length growth curves using the contemporary, large, racially diverse US birth parameters sample used to create the Olsen weight-, length-, and head-circumference-for-age curves.
Methods:
Data from 391 681 US infants (Pediatrix Medical Group) born at 22 to 42 weeks' gestational age (born in 1998-2006) included birth weight, length, and head circumference, estimated gestational age, and gender. Separate subsamples were used to create and validate curves. Established methods were used to determine the weight-for-length ratio that was most highly correlated with weight and uncorrelated with length. Final smoothed percentile curves (3rd to 97th) were created by the Lambda Mu Sigma (LMS) method. The validation sample was used to confirm results.
Results:
The final sample included 254 454 singleton infants (57.2% male) who survived to discharge. BMI was the best overall weight-for-length ratio for both genders and a majority of gestational ages. Gender-specific BMI-for-age curves were created (n = 127 446) and successfully validated (n = 126 988). Mean z scores for the validation sample were ∼0 (∼1 SD).
Conclusions:
BMI was different across gender and gestational age. We provide a set of validated reference curves (gender-specific) to track changes in BMI for prematurely born infants cared for in the NICU for use with weight-, length-, and head-circumference-for-age intrauterine growth curves.
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