Literature DB >> 27490028

Amalgamated Reference Data for Size-Adjusted Bone Densitometry Measurements in 3598 Children and Young Adults-the ALPHABET Study.

Nicola J Crabtree1, Nicholas J Shaw1, Nicholas J Bishop2, Judith E Adams3, M Zulf Mughal4, Paul Arundel2, Mary S Fewtrell5, S Faisal Ahmed6, Laura A Treadgold7, Wolfgang Högler1, Natalie A Bebbington1, Kate A Ward8,9.   

Abstract

The increasing use of dual-energy X-ray absorptiometry (DXA) in children has led to the need for robust reference data for interpretation of scans in daily clinical practice. Such data need to be representative of the population being studied and be "future-proofed" to software and hardware upgrades. The aim was to combine all available pediatric DXA reference data from seven UK centers to create reference curves adjusted for age, sex, ethnicity, and body size to enable clinical application, using in vivo cross-calibration and making data back and forward compatible. Seven UK sites collected data on GE Lunar or Hologic Scanners between 1996 and 2012. Males and females aged 4 to 20 years were recruited (n = 3598). The split by ethnic group was white 2887; South Asian 385; black Afro-Caribbean 286; and mixed heritage 40. Scans of the total body and lumbar spine (L1 to L4 ) were obtained. The European Spine Phantom was used to cross-calibrate the 7 centers and 11 scanners. Reference curves were produced for L1 to L4 bone mineral apparent density (BMAD) and total body less head (TBLH) and L1 to L4 areal bone mineral density (aBMD) for GE Lunar Prodigy and iDXA (sex- and ethnic-specific) and for Hologic (sex-specific). Regression equations for TBLH BMC were produced using stepwise linear regression. Scans of 100 children were randomly selected to test backward and forward compatibility of software versions, up to version 15.0 for GE Lunar and Apex 4.1 for Hologic. For the first time, sex- and ethnic-specific reference curves for lumbar spine BMAD, aBMD, and TBLH aBMD are provided for both GE Lunar and Hologic scanners. These curves will facilitate interpretation of DXA data in children using methods recommended in ISCD guidelines. The databases have been created to allow future updates and analysis when more definitive evidence for the best method of fracture prediction in children is agreed.
© 2016 American Society for Bone and Mineral Research. © 2016 American Society for Bone and Mineral Research.

Entities:  

Keywords:  BMC; BMD; DXA; LEAN MASS; PEDIATRIC; REFERENCE

Mesh:

Year:  2016        PMID: 27490028      PMCID: PMC5453244          DOI: 10.1002/jbmr.2935

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  31 in total

1.  New approaches for interpreting projected bone densitometry data.

Authors:  D R Carter; M L Bouxsein; R Marcus
Journal:  J Bone Miner Res       Date:  1992-02       Impact factor: 6.741

2.  Pediatric in vivo cross-calibration between the GE Lunar Prodigy and DPX-L bone densitometers.

Authors:  Nicola J Crabtree; N J Shaw; C M Boivin; B Oldroyd; J G Truscott
Journal:  Osteoporos Int       Date:  2005-10-19       Impact factor: 4.507

3.  Uncritical use of bone mineral density in absorptiometry may lead to size-related artifacts in the identification of bone mineral determinants.

Authors:  A Prentice; T J Parsons; T J Cole
Journal:  Am J Clin Nutr       Date:  1994-12       Impact factor: 7.045

4.  QDR 4500A dual-energy X-ray absorptiometer underestimates fat mass in comparison with criterion methods in adults.

Authors:  Dale A Schoeller; Frances A Tylavsky; David J Baer; William C Chumlea; Carrie P Earthman; Thomas Fuerst; Tamara B Harris; Steven B Heymsfield; Mary Horlick; Timothy G Lohman; Henry C Lukaski; John Shepherd; Roger M Siervogel; Lori G Borrud
Journal:  Am J Clin Nutr       Date:  2005-05       Impact factor: 7.045

5.  Idiopathic juvenile osteoporosis--an analysis of the muscle-bone relationship.

Authors:  P Płudowski; M Lebiedowski; M Olszaniecka; J Marowska; H Matusik; R S Lorenc
Journal:  Osteoporos Int       Date:  2006-09-02       Impact factor: 4.507

6.  Fracture patterns in children. Analysis of 8,682 fractures with special reference to incidence, etiology and secular changes in a Swedish urban population 1950-1979.

Authors:  L A Landin
Journal:  Acta Orthop Scand Suppl       Date:  1983

7.  The relationship between lean body mass and bone mineral content in paediatric health and disease.

Authors:  N J Crabtree; M S Kibirige; J N Fordham; L M Banks; F Muntoni; D Chinn; C M Boivin; N J Shaw
Journal:  Bone       Date:  2004-10       Impact factor: 4.398

8.  Comparison of different models for interpreting bone mineral density measurements using DXA and MRI technology.

Authors:  H Kröger; P Vainio; J Nieminen; A Kotaniemi
Journal:  Bone       Date:  1995-08       Impact factor: 4.398

9.  Height adjustment in assessing dual energy x-ray absorptiometry measurements of bone mass and density in children.

Authors:  Babette S Zemel; Mary B Leonard; Andrea Kelly; Joan M Lappe; Vicente Gilsanz; Sharon Oberfield; Soroosh Mahboubi; John A Shepherd; Thomas N Hangartner; Margaret M Frederick; Karen K Winer; Heidi J Kalkwarf
Journal:  J Clin Endocrinol Metab       Date:  2010-01-26       Impact factor: 5.958

10.  Diagnostic evaluation of bone densitometric size adjustment techniques in children with and without low trauma fractures.

Authors:  N J Crabtree; W Högler; M S Cooper; N J Shaw
Journal:  Osteoporos Int       Date:  2013-01-30       Impact factor: 4.507

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  33 in total

Review 1.  The Utility of DXA Assessment at the Forearm, Proximal Femur, and Lateral Distal Femur, and Vertebral Fracture Assessment in the Pediatric Population: 2019 ISCD Official Position.

Authors:  David R Weber; Alison Boyce; Catherine Gordon; Wolfgang Högler; Heidi H Kecskemethy; Madhusmita Misra; Diana Swolin-Eide; Peter Tebben; Leanne M Ward; Halley Wasserman; Christopher Shuhart; Babette S Zemel
Journal:  J Clin Densitom       Date:  2019-07-10       Impact factor: 2.617

Review 2.  [Fractures and bone mineral density in childhood].

Authors:  Christine Hofmann; Herrmann Girschick; Constantin Lapa; Oliver Semler; Franz Jakob
Journal:  Z Rheumatol       Date:  2019-09       Impact factor: 1.372

3.  Lumbar Spine Bone Mineral Apparent Density in Children: Results From the Bone Mineral Density in Childhood Study.

Authors:  Joseph M Kindler; Joan M Lappe; Vicente Gilsanz; Sharon Oberfield; John A Shepherd; Andrea Kelly; Karen K Winer; Heidi J Kalkwarf; Babette S Zemel
Journal:  J Clin Endocrinol Metab       Date:  2019-04-01       Impact factor: 5.958

4.  Tracking of bone mass from childhood to puberty: a 7-year follow-up. The CHAMPS study DK.

Authors:  M S Rønne; M Heidemann; A Schou; J O Laursen; A B Bojesen; L Lylloff; S Husby; N Wedderkopp; C Mølgaard
Journal:  Osteoporos Int       Date:  2018-06-12       Impact factor: 4.507

5.  Use of dual energy X-ray absorptiometry in pediatric patients.

Authors:  Halley Wasserman; Jennifer M O'Donnell; Catherine M Gordon
Journal:  Bone       Date:  2016-12-15       Impact factor: 4.398

6.  Birth size, body composition, and adrenal androgens as determinants of bone mineral density in mid-childhood.

Authors:  Henrikki Nordman; Raimo Voutilainen; Tomi Laitinen; Leena Antikainen; Jarmo Jääskeläinen
Journal:  Pediatr Res       Date:  2018-02-28       Impact factor: 3.756

Review 7.  Dual-energy X-ray absorptiometry pitfalls in Thalassemia Major.

Authors:  Fabio Pellegrino; Maria Chiara Zatelli; Marta Bondanelli; Aldo Carnevale; Corrado Cittanti; Monica Fortini; Maria Rita Gamberini; Melchiore Giganti; Maria Rosaria Ambrosio
Journal:  Endocrine       Date:  2019-07-12       Impact factor: 3.633

Review 8.  Bone Health in Childhood Chronic Disease.

Authors:  David R Weber
Journal:  Endocrinol Metab Clin North Am       Date:  2020-10-13       Impact factor: 4.741

9.  A Contemporary View of the Definition and Diagnosis of Osteoporosis in Children and Adolescents.

Authors:  Leanne M Ward; David R Weber; Craig F Munns; Wolfgang Högler; Babette S Zemel
Journal:  J Clin Endocrinol Metab       Date:  2020-05-01       Impact factor: 5.958

Review 10.  Fracture prediction, imaging and screening in osteoporosis.

Authors:  Nicholas R Fuggle; Elizabeth M Curtis; Kate A Ward; Nicholas C Harvey; Elaine M Dennison; Cyrus Cooper
Journal:  Nat Rev Endocrinol       Date:  2019-09       Impact factor: 43.330

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