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Z Score Prediction Model for Assessment of Bone Mineral Content in Pediatric Diseases *
Author(s) -
Ellis Kenneth J.,
Shypailo Roman J.,
Hardin Dana S.,
Perez Maria D.,
Motil Kathleen J.,
Wong William W.,
Abrams Steven A.
Publication year - 2001
Publication title -
journal of bone and mineral research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.882
H-Index - 241
eISSN - 1523-4681
pISSN - 0884-0431
DOI - 10.1359/jbmr.2001.16.9.1658
Subject(s) - medicine , anthropometry , bone mineral , cohort , bone mineral content , standard score , dual energy x ray absorptiometry , population , pediatrics , osteoporosis , environmental health , machine learning , computer science
The objective of this study was to develop an anthropometry‐based prediction model for the assessment of bone mineral content (BMC) in children. Dual‐energy X‐ray absorptiometry (DXA) was used to measure whole‐body BMC in a heterogeneous cohort of 982 healthy children, aged 5–18 years, from three ethnic groups (407 European‐ American [EA], 285 black, and 290 Mexican‐American [MA]). The best model was based on log transformations of BMC and height, adjusted for age, gender, and ethnicity. The mean ± SD for the measured/predicted ln ratio was 1.000 ± 0.017 for the calibration population. The model was verified in a second independent group of 588 healthy children (measured/predicted ln ratio = 1.000 ± 0.018). For clinical use, the ratio values were converted to a standardized Z score scale. The whole‐body BMC status of 106 children with various diseases (42 cystic fibrosis [CF], 29 juvenile dermatomyositis [JDM], 15 liver disease [LD], 6 Rett syndrome [RS], and 14 human immunodeficiency virus [HIV]) was evaluated. Thirty‐nine patients had Z scores less than −1.5, which suggest low bone mineral mass. Furthermore, 22 of these patients had severe abnormalities as indicated by Z scores less than −2.5. These preliminary findings indicate that the prediction model should prove useful in determining potential bone mineral deficits in individual pediatric patients.