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Kelly A, Shults J, Mostoufi-Moab S, McCormack SE, Stallings VA, Schall JI, Kalkwarf HJ, Lappe JM, Gilsanz V, Oberfield SE, Shepherd JA, Winer KK, Leonard MB, Zemel BS. Pediatric Bone Mineral Accrual Z-Score Calculation Equations and Their Application in Childhood Disease. J Bone Miner Res 2019; 34:195-203. [PMID: 30372552 PMCID: PMC7794655 DOI: 10.1002/jbmr.3589] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Revised: 08/25/2018] [Accepted: 09/10/2018] [Indexed: 12/30/2022]
Abstract
Annual gains in BMC and areal bone mineral density (aBMD) in children vary with age, pubertal status, height-velocity, and lean body mass accrual (LBM velocity). Evaluating bone accrual in children with bone health-threatening conditions requires consideration of these determinants. The objective of this study was to develop prediction equations for calculating BMC/aBMD velocity SD scores (velocity-Z) and to evaluate bone accrual in youth with health conditions. Bone and body compositions via DXA were obtained for up to six annual intervals in healthy youth (n = 2014) enrolled in the Bone Mineral Density in Childhood Study (BMDCS) . Longitudinal statistical methods were used to develop sex- and pubertal-status-specific reference equations for calculating velocity-Z for total body less head-BMC and lumbar spine (LS), total hip (TotHip), femoral neck, and 1/3-radius aBMD. Equations accounted for (1) height velocity, (2) height velocity and weight velocity, or (3) height velocity and LBM velocity. These equations were then applied to observational, single-center, 12-month longitudinal data from youth with cystic fibrosis (CF; n = 65), acute lymphoblastic leukemia (ALL) survivors (n = 45), or Crohn disease (CD) initiating infliximab (n = 72). Associations between BMC/aBMD-Z change (conventional pediatric bone health monitoring method) and BMC/aBMD velocity-Z were assessed. The BMC/aBMD velocity-Z for CF, ALL, and CD was compared with BMDCS. Annual changes in the BMC/aBMD-Z and the BMC/aBMD velocity-Z were strongly correlated, but not equivalent; LS aBMD-Z = 1 equated with LS aBMD velocity-Z = -3. In CF, BMC/aBMD velocity-Z was normal. In posttherapy ALL, BMC/aBMD velocity-Z was increased, particularly at TotHip (1.01 [-.047; 1.7], p < 0.0001). In CD, BMC/aBMD velocity-Z was increased at all skeletal sites. LBM-velocity adjustment attenuated these increases (eg, TotHip aBMD velocity-Z: 1.13 [0.004; 2.34] versus 1.52 [0.3; 2.85], p < 0.0001). Methods for quantifying the BMC/aBMD velocity that account for maturation and body composition changes provide a framework for evaluating childhood bone accretion and may provide insight into mechanisms contributing to altered accrual in chronic childhood conditions. © 2018 American Society for Bone and Mineral Research.
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Affiliation(s)
- Andrea Kelly
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Justine Shults
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sogol Mostoufi-Moab
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Shana E McCormack
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia A Stallings
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Joan I Schall
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Heidi J Kalkwarf
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Joan M Lappe
- College of Nursing, Creighton University, Omaha, NE, USA
| | - Vicente Gilsanz
- Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - John A Shepherd
- Bioengineering, University of California-San Francisco, San Francisco, CA, USA
| | - Karen K Winer
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Mary B Leonard
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Department of Pediatrics, Stanford School of Medicine, Palo Alto, CA, USA
| | - Babette S Zemel
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Kelley JC, Stettler-Davis N, Leonard MB, Hill D, Wrotniak BH, Shults J, Stallings VA, Berkowitz R, Xanthopoulos MS, Prout-Parks E, Klieger SB, Zemel BS. Effects of a Randomized Weight Loss Intervention Trial in Obese Adolescents on Tibia and Radius Bone Geometry and Volumetric Density. J Bone Miner Res 2018; 33:42-53. [PMID: 28884881 PMCID: PMC8527854 DOI: 10.1002/jbmr.3288] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 08/31/2017] [Accepted: 09/06/2017] [Indexed: 01/06/2023]
Abstract
Obese adolescents have increased fracture risk, but effects of alterations in adiposity on bone accrual and strength in obese adolescents are not understood. We evaluated 12-month changes in trabecular and cortical volumetric bone mineral density (vBMD) and cortical geometry in obese adolescents undergoing a randomized weight management program, and investigated the effect of body composition changes on bone outcomes. Peripheral quantitative computed tomography (pQCT) of the radius and tibia, and whole-body dual-energy X-ray absorptiometry (DXA) scans were obtained at baseline, 6 months, and 12 months in 91 obese adolescents randomized to standard care versus behavioral intervention for weight loss. Longitudinal models assessed effects of body composition changes on bone outcomes, adjusted for age, bone length, and African-American ancestry, and stratified by sex. Secondary analyses included adjustment for physical activity, maturation, vitamin D, and inflammatory biomarkers. Baseline body mass index (BMI) was similar between intervention groups. Twelve-month change in BMI in the standard care group was 1.0 kg/m2 versus -0.4 kg/m2 in the behavioral intervention group (p < 0.01). Intervention groups were similar in bone outcomes, so they were combined for subsequent analyses. For the tibia, BMI change was not associated with change in vBMD or structure. Greater baseline lean body mass index (LBMI) associated with higher cortical vBMD in males, trabecular vBMD in females, and polar section modulus (pZ) and periosteal circumference (Peri-C) in both sexes. In females, change in LBMI positively associated with gains in pZ and Peri-C. Baseline visceral adipose tissue (VFAT) was inversely associated with pZ in males and cortical vBMD in females. Change in VFAT did not affect bone outcomes. For the radius, BMI and LBMI changes positively associated with pZ in males. Thus, in obese adolescents, weight loss intervention with modest changes in BMI was not detrimental to radius or tibia bone strength, and changes in lean, but not adiposity, measures were beneficial to bone development. © 2017 American Society for Bone and Mineral Research.
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Affiliation(s)
- Jennifer C Kelley
- Division of Endocrinology and Diabetes, Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, TN, USA
| | | | - Mary B Leonard
- Department of Pediatrics, Stanford University, Palo Alto, CA, USA
| | - Douglas Hill
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Pediatric Advanced Care Team, The Children's Hospital of Philadephia, Philadelphia, PA, USA
| | - Brian H Wrotniak
- Department of Physical Therapy, D'Youville College, Buffalo, NY, USA
| | - Justine Shults
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Division of Biostatistics and Data Management, The Children's Hospital of Philadephia, Philadelphia, PA, USA
| | - Virginia A Stallings
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Division of Gastroenterology, Hepatology, and Nutrition, The Children's Hospital of Philadephia, Philadelphia, PA, USA
| | - Robert Berkowitz
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Melissa S Xanthopoulos
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Elizabeth Prout-Parks
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Division of Gastroenterology, Hepatology, and Nutrition, The Children's Hospital of Philadephia, Philadelphia, PA, USA
| | - Sarah B Klieger
- Biostatistical and Data Management Core, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Babette S Zemel
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Division of Gastroenterology, Hepatology, and Nutrition, The Children's Hospital of Philadephia, Philadelphia, PA, USA
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