Susan M Abdel-Rahman1, Ian M Paul2, Paula Delmore3, Laura James4, Laura Fearn5, Andrew M Atz6, Brenda B Poindexter7, Amira Al-Uzri8, Andrew Lewandowski9, Barrie L Harper10, P Brian Smith10. 1. a Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Department of Pediatrics , Children's Mercy Hospitals and Clinics, University of Missouri-Kansas City, School of Medicine , Kansas City , MO , USA. 2. b Pediatrics and Public Health Sciences , Penn State College of Medicine , Hershey , PA , USA. 3. c Divisions of Pulmonology, Respiratory Medicine, and Pediatrics , Wesley Medical Center , Wichita , KS , USA. 4. d Department of Pediatrics , University of Arkansas for Medical Sciences and Arkansas Children's Hospital Research Institute , Little Rock , AR , USA. 5. e Department of Pediatrics , Children's Memorial Hospital , Chicago , IL , USA. 6. f Division of Pediatric Cardiology , Medical University of South Carolina , Charleston , SC , USA. 7. g Perinatal Institute, Cincinnati Children's Hospital Medical Center , Cincinnati , OH , USA. 8. h Pediatric Nephrology , Oregon Health and Science University , Portland , OR , USA. 9. i The EMMES Corporation , Rockville , MD , USA. 10. j Duke Clinical Research Institute, Duke University School of Medicine , Durham , NC , USA.
Abstract
BACKGROUND: Anthropometric data prove valuable for screening and monitoring various medical conditions. In young infants, however, only weight, length and head circumference are represented in publicly accessible databases. AIM: To characterise length and circumferential measures in pre-term and full-term infants up to 90 days post-natal. SUBJECTS AND METHODS: In eight US medical centres, trained raters recorded humeral, ulnar, femoral, tibial and fibular lengths along with mid-upper arm, mid-thigh, chest, abdominal and neck circumference. Data were pooled by post-menstrual age into 1-week intervals and population curves created using the lambda, mu and sigma (LMS) method. Goodness-of-fit was assessed by examining de-trended quantile-quantile plots, Q statistics and fitted centiles overlaid on empirical centiles. RESULTS: In total, 2097 infants were enrolled in this study with a mean ± SD gestational age and post-natal age of 37.1 ± 3.3 weeks and 27.3 ± 25.3 days, respectively. A re-scale option was used to describe all curves. The resultant models reliably characterised anthropometric measures from 33-52 weeks PMA, with less certainty at the extremes (27-55 weeks). CONCLUSION: The population curves generated under this investigation expand existing reference data on a comprehensive set of anthropometric traits in infants through the first 90 days post-natal.
BACKGROUND: Anthropometric data prove valuable for screening and monitoring various medical conditions. In young infants, however, only weight, length and head circumference are represented in publicly accessible databases. AIM: To characterise length and circumferential measures in pre-term and full-term infants up to 90 days post-natal. SUBJECTS AND METHODS: In eight US medical centres, trained raters recorded humeral, ulnar, femoral, tibial and fibular lengths along with mid-upper arm, mid-thigh, chest, abdominal and neck circumference. Data were pooled by post-menstrual age into 1-week intervals and population curves created using the lambda, mu and sigma (LMS) method. Goodness-of-fit was assessed by examining de-trended quantile-quantile plots, Q statistics and fitted centiles overlaid on empirical centiles. RESULTS: In total, 2097 infants were enrolled in this study with a mean ± SD gestational age and post-natal age of 37.1 ± 3.3 weeks and 27.3 ± 25.3 days, respectively. A re-scale option was used to describe all curves. The resultant models reliably characterised anthropometric measures from 33-52 weeks PMA, with less certainty at the extremes (27-55 weeks). CONCLUSION: The population curves generated under this investigation expand existing reference data on a comprehensive set of anthropometric traits in infants through the first 90 days post-natal.
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