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The Accuracy of Incident Vertebral Fracture Detection in Children Using Targeted Case-Finding Approaches
Authors:Jinhui Ma  Kerry Siminoski  Peiyao Wang  Jacob L Jaremko  Khaldoun Koujok  Mary Ann Matzinger  Nazih Shenouda  Brian Lentle  Nathalie Alos  Elizabeth A Cummings  Josephine Ho  Kristin Houghton  Paivi M Miettunen  Rosie Scuccimarri  Frank Rauch  Leanne M Ward  the Canadian STOPP Consortium
Institution:1. Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada

Contribution: Conceptualization, Formal analysis, Methodology, Supervision, Validation, Writing - original draft, Writing - review & editing;2. Department of Radiology and Diagnostic Imaging and Department of Internal Medicine, University of Alberta, Edmonton, Canada

Contribution: Conceptualization, Formal analysis, ?Investigation, Methodology, Supervision, Validation, Writing - original draft, Writing - review & editing;3. Faculty of Science, McMaster University, Hamilton, Canada

Contribution: Formal analysis, Methodology, Writing - review & editing;4. Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada

Contribution: ?Investigation, Methodology, Visualization, Writing - review & editing;5. Department of Medical Imaging, University of Ottawa, Ottawa, Canada

Contribution: ?Investigation, Methodology, Writing - review & editing;6. Department of Medical Imaging, University of Ottawa, Ottawa, Canada

Contribution: ?Investigation, Methodology, Visualization, Writing - review & editing;7. Department of Radiology, University of British Columbia, Vancouver, Canada;8. Department of Pediatrics, Université de Montréal, Montréal, Canada

Contribution: ?Investigation, Methodology, Writing - review & editing;9. Department of Pediatrics, Dalhousie University, Halifax, Canada

Contribution: ?Investigation, Methodology, Writing - review & editing;10. Department of Pediatrics, University of Calgary, Calgary, Canada

Contribution: ?Investigation, Methodology, Writing - original draft;11. Department of Pediatrics, University of British Columbia, Vancouver, Canada

Contribution: ?Investigation, Methodology, Writing - review & editing;12. Department of Pediatrics, University of Calgary, Calgary, Canada

Contribution: ?Investigation, Methodology, Writing - review & editing;13. Department of Pediatrics, McGill University, Montreal, Canada

Contribution: ?Investigation, Methodology, Writing - review & editing;14. Department of Pediatrics, McGill University, Montreal, Canada;15. Department of Pediatrics, University of Ottawa, Ottawa, Canada;16. Canadian Pediatric Bone Health Working Group, Ottawa, Canada

Abstract:Vertebral fractures are clinically important sequelae of a wide array of pediatric diseases. In this study, we examined the accuracy of case-finding strategies for detecting incident vertebral fractures (IVF) over 2 years in glucocorticoid-treated children (n = 343) with leukemia, rheumatic disorders, or nephrotic syndrome. Two clinical situations were addressed: the prevalent vertebral fracture (PVF) scenario (when baseline PVF status was known), which assessed the utility of PVF and low lumbar spine bone mineral density (LS BMD; Z-score <?1.4), and the non-PVF scenario (when PVF status was unknown), which evaluated low LS BMD and back pain. LS BMD was measured by dual-energy X-ray absorptiometry, vertebral fractures were quantified on spine radiographs using the modified Genant semiquantitative method, and back pain was assessed by patient report. Forty-four patients (12.8%) had IVF. In the PVF scenario, both low LS BMD and PVF were significant predictors of IVF. Using PVF to determine which patients should have radiographs, 11% would undergo radiography (95% confidence interval CI] 8–15) with 46% of IVF (95% CI 30–61) detected. Sensitivity would be higher with a strategy of PVF or low LS BMD at baseline (73%; 95% CI 57–85) but would require radiographs in 37% of children (95% CI 32–42). In the non-PVF scenario, the strategy of low LS BMD and back pain produced the highest specificity of any non-PVF model at 87% (95% CI 83–91), the greatest overall accuracy at 82% (95% CI 78–86), and the lowest radiography rate at 17% (95% CI 14–22). Low LS BMD or back pain in the non-PVF scenario produced the highest sensitivity at 82% (95% CI 67–92), but required radiographs in 65% (95% CI 60–70). These results provide guidance for targeting spine radiography in children at risk for IVF. © 2021 American Society for Bone and Mineral Research (ASBMR).
Keywords:DISEASES AND DISORDERS OF/RELATED TO BONE  OSTEOPOROSIS  PRACTICE/POLICY-RELATED ISSUES  FRACTURE RISK ASSESSMENT  ANALYSIS/QUANTITATION OF BONE  DXA
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