T N Hangartner1, D F Short2, T Eldar-Geva3,4,5, H J Hirsch3, M Tiomkin6, A Zimran6,5, V Gross-Tsur3,7,5. 1. BioMedical Imaging Laboratory, Wright State University, 3640 Col Glenn Hwy, Dayton, OH, USA. thomas.hangartner@wright.edu. 2. BioMedical Imaging Laboratory, Wright State University, 3640 Col Glenn Hwy, Dayton, OH, USA. 3. The National, Multi-disciplinary PWS Clinic, Shaare Zedek Medical Center, Jerusalem, Israel. 4. The Departments of Obstetrics and Gynecology, Shaare Zedek Medical Center, Jerusalem, Israel. 5. The Hebrew University Faculty of Medicine, Jerusalem, Israel. 6. Gaucher Clinic, Shaare Zedek Medical Center, Jerusalem, Israel. 7. Neuropediatric Unit, Shaare Zedek Medical Center, P.O. Box 3235, Jerusalem, 9103102, Israel.
Abstract
Anthropometric adjustments of bone measurements are necessary in Prader-Willi syndrome patients to correctly assess the bone status of these patients. This enables physicians to get a more accurate diagnosis of normal versus abnormal bone, allow for early and effective intervention, and achieve better therapeutic results. INTRODUCTION: Bone mineral density (BMD) is decreased in patients with Prader-Willi syndrome (PWS). Because of largely abnormal body height and weight, traditional BMD Z-scores may not provide accurate information in this patient group. The goal of the study was to assess a cohort of individuals with PWS and characterize the development of low bone density based on two adjustment models applied to a dataset of BMD and bone mineral content (BMC) from dual-energy X-ray absorptiometry (DXA) measurements. METHODS: Fifty-four individuals, aged 5-20 years with genetically confirmed PWS, underwent DXA scans of spine and hip. Thirty-one of them also underwent total body scans. Standard Z-scores were calculated for BMD and BMC of spine and total hip based on race, sex, and age for all patients, as well as of whole body and whole-body less head for those patients with total-body scans. Additional Z-scores were generated based on anthropometric adjustments using weight, height, and percentage body fat and a second model using only weight and height in addition to race, sex, and age. RESULTS: As many PWS patients have abnormal anthropometrics, addition of explanatory variables weight, height, and fat resulted in different bone classifications for many patients. Thus, 25-70 % of overweight patients, previously diagnosed as normal, were subsequently diagnosed as below normal, and 40-60 % of patients with below-normal body height changed from below normal to normal depending on bone parameter. CONCLUSIONS: This is the first study to include anthropometric adjustments into the interpretation of BMD and BMC in children and adolescents with PWS. This enables physicians to get a more accurate diagnosis of normal versus abnormal BMD and BMC and allows for early and effective intervention.
Anthropometric adjustments of bone measurements are necessary in Prader-Willi syndromepatients to correctly assess the bone status of these patients. This enables physicians to get a more accurate diagnosis of normal versus abnormal bone, allow for early and effective intervention, and achieve better therapeutic results. INTRODUCTION: Bone mineral density (BMD) is decreased in patients with Prader-Willi syndrome (PWS). Because of largely abnormal body height and weight, traditional BMD Z-scores may not provide accurate information in this patient group. The goal of the study was to assess a cohort of individuals with PWS and characterize the development of low bone density based on two adjustment models applied to a dataset of BMD and bone mineral content (BMC) from dual-energy X-ray absorptiometry (DXA) measurements. METHODS: Fifty-four individuals, aged 5-20 years with genetically confirmed PWS, underwent DXA scans of spine and hip. Thirty-one of them also underwent total body scans. Standard Z-scores were calculated for BMD and BMC of spine and total hip based on race, sex, and age for all patients, as well as of whole body and whole-body less head for those patients with total-body scans. Additional Z-scores were generated based on anthropometric adjustments using weight, height, and percentage body fat and a second model using only weight and height in addition to race, sex, and age. RESULTS: As many PWSpatients have abnormal anthropometrics, addition of explanatory variables weight, height, and fat resulted in different bone classifications for many patients. Thus, 25-70 % of overweight patients, previously diagnosed as normal, were subsequently diagnosed as below normal, and 40-60 % of patients with below-normal body height changed from below normal to normal depending on bone parameter. CONCLUSIONS: This is the first study to include anthropometric adjustments into the interpretation of BMD and BMC in children and adolescents with PWS. This enables physicians to get a more accurate diagnosis of normal versus abnormal BMD and BMC and allows for early and effective intervention.
Entities:
Keywords:
Anthropometric adjustment; Bone mineral content; Bone mineral density; Dual-energy X-ray absorptiometry; Prader-Willi syndrome
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