Literature DB >> 35063470

Anthropometric Measures Correspond with Functional Motor Outcomes in Females with Rett Syndrome.

Kathleen J Motil1, Suzanne Geerts2, Fran Annese3, Jeffrey L Neul4, Tim Benke5, Eric Marsh6, David Lieberman7, Steven A Skinner3, Daniel G Glaze8, Peter Heydemann9, Arthur Beisang10, Shannon Standridge11, Robin Ryther12, Jane B Lane13, Lloyd Edwards14, Alan K Percy15.   

Abstract

OBJECTIVE: To characterize growth and anthropometric measurements in females with Rett syndrome and compare these measurements with functional outcomes. STUDY
DESIGN: We obtained longitudinal growth and anthropometric measurements from 1154 females with classic and atypical Rett syndrome seen between 2006 and 2019 in the US Natural History Study. We calculated the Clinical Severity Score, Motor Behavior Assessment score, and arm and leg muscle areas and recorded the functional assessments of arm and hand use and ambulation. We compared growth and anthropometric variables from females with Rett syndrome in regard to normative data. We analyzed Clinical Severity Score, Motor Behavior Assessment, and anthropometric measurements in regard to functional assessments.
RESULTS: Growth and anthropometric measurements were significantly lower in females with classic and severe atypical Rett syndrome compared with those classified as mild atypical Rett syndrome and deviated from normative patterns among all 3 groups. Suprailiac skinfold measurements correlated with body mass index measurements in each group. Lower leg muscle area measurements were significantly greater among females in all 3 Rett syndrome groups who ambulated independently compared with those who did not. In females with classic Rett syndrome, arm, thigh, and lower leg muscle area measurements increased significantly over time and were significantly greater among those who had purposeful arm and hand use and independent ambulation compared with those who did not.
CONCLUSIONS: The pattern of growth and anthropometric measures in females with Rett syndrome differs from normative data and demonstrates clear differences between classic and mild or severe atypical Rett syndrome. Anthropometric measures correspond with functional outcomes and could provide markers supporting efficacy outcomes in clinical trials.
Copyright © 2022 Elsevier Inc. All rights reserved.

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Year:  2022        PMID: 35063470      PMCID: PMC9086122          DOI: 10.1016/j.jpeds.2022.01.009

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   6.314


  30 in total

1.  Body Composition and BMI Growth Charts in Children With Down Syndrome.

Authors:  Jacquelyn A Hatch-Stein; Babette S Zemel; Divya Prasad; Heidi J Kalkwarf; Mary Pipan; Sheela N Magge; Andrea Kelly
Journal:  Pediatrics       Date:  2016-09-14       Impact factor: 7.124

2.  Microscopic observations of the brain in Rett syndrome.

Authors:  M L Bauman; T L Kemper; D M Arin
Journal:  Neuropediatrics       Date:  1995-04       Impact factor: 1.947

3.  Body composition of patients with autism spectrum disorder through bioelectrical impedance.

Authors:  Kamila Castro; Larissa Slongo Faccioli; Diego Baronio; Carmem Gottfried; Ingrid Schweigert Perry; Rudimar Riesgo
Journal:  Nutr Hosp       Date:  2017-07-28       Impact factor: 1.057

4.  Oropharyngeal dysfunction and gastroesophageal dysmotility are present in girls and women with Rett syndrome.

Authors:  K J Motil; R J Schultz; K Browning; L Trautwein; D G Glaze
Journal:  J Pediatr Gastroenterol Nutr       Date:  1999-07       Impact factor: 2.839

5.  A progressive syndrome of autism, dementia, ataxia, and loss of purposeful hand use in girls: Rett's syndrome: report of 35 cases.

Authors:  B Hagberg; J Aicardi; K Dias; O Ramos
Journal:  Ann Neurol       Date:  1983-10       Impact factor: 10.422

6.  Specific mutations in methyl-CpG-binding protein 2 confer different severity in Rett syndrome.

Authors:  J L Neul; P Fang; J Barrish; J Lane; E B Caeg; E O Smith; H Zoghbi; A Percy; D G Glaze
Journal:  Neurology       Date:  2008-03-12       Impact factor: 9.910

7.  An analysis of 24-h ambulatory blood pressure monitoring data using orthonormal polynomials in the linear mixed model.

Authors:  Lloyd J Edwards; Sean L Simpson
Journal:  Blood Press Monit       Date:  2014-06       Impact factor: 1.444

8.  Rett syndrome: revised diagnostic criteria and nomenclature.

Authors:  Jeffrey L Neul; Walter E Kaufmann; Daniel G Glaze; John Christodoulou; Angus J Clarke; Nadia Bahi-Buisson; Helen Leonard; Mark E S Bailey; N Carolyn Schanen; Michele Zappella; Alessandra Renieri; Peter Huppke; Alan K Percy
Journal:  Ann Neurol       Date:  2010-12       Impact factor: 10.422

9.  A comparison of goodness of fit tests for age-related reference ranges.

Authors:  H Pan; T J Cole
Journal:  Stat Med       Date:  2004-06-15       Impact factor: 2.373

Review 10.  Clinical and genetic aspects of Angelman syndrome.

Authors:  Charles A Williams; Daniel J Driscoll; Aditi I Dagli
Journal:  Genet Med       Date:  2010-07       Impact factor: 8.822

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