Diagnostic Accuracy of Noninvasive Bone Turnover Markers in Renal Osteodystrophy
American Journal of Kidney Diseases, ISSN: 0272-6386, Vol: 79, Issue: 5, Page: 667-676.e1
2022
- 46Citations
- 37Captures
- 1Mentions
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Metrics Details
- Citations46
- Citation Indexes46
- 46
- CrossRef5
- Captures37
- Readers37
- 37
- Mentions1
- Blog Mentions1
- Blog1
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Editor’s Note: We asked authors of Original Investigations to provide short plain-language summaries that would briefly summarize what inspired their study, the basic approach taken, what was learned, and why it matters. We hope our readers will find this valuable in helping them keep up with the latest research in the field of nephrology. From the May 2022 issue: Dialysis Outcomes for Children Wi
Article Description
Bone biopsy remains the gold standard for diagnosing renal osteodystrophy as comparable noninvasive alternatives have yet to be established. This study investigated the diagnostic accuracy of biochemical markers of skeletal remodeling to predict bone turnover. Cross-sectional retrospective diagnostic test study. Patients with chronic kidney disease glomerular filtration rate categories 4-5, including patients treated with dialysis (G4-G5D) and kidney transplant recipients with successful transiliac bone biopsies. Bone turnover as determined by bone histomorphometry was compared with the following biochemical markers: full-length (amino acids 1-84) “biointact” parathyroid hormone (PTH), bone-specific alkaline phosphatase (BsAP), intact procollagen type I N-terminal propeptide (PINP), and tartrate-resistant acid phosphatase isoform 5b (TRAP5b). Diagnostic performance was evaluated by area under the receiver operator characteristics curve (AUC), sensitivity, specificity, and negative and positive predictive values. Optimal diagnostic cutoffs were determined in an exploration cohort (n = 100) and validated in a separate cohort (n = 99). All biomarkers differed across categories of low 33 (17%), normal 109 (55%), and high 57 (29%) bone turnover. AUC values were in the range of 0.75-0.85. High negative predictive values (≥90%) were found for both high and low bone turnover, indicating the ability to rule out both conditions using the suggested biomarker cutoffs. The highest diagnostic performances were seen with combinations of biomarkers, with overall diagnostic accuracies of 90% for high turnover, and 78% for low turnover. Results were comparable for kidney transplant candidates and recipients in a sensitivity analysis. The single-center approach and heterogeneity of the study cohort are main limitations of this study. We conclude that the diagnostic performance of biochemical markers of bone turnover is acceptable, with clinical utility in ruling out both high and low turnover bone disease.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S027263862100946X; http://dx.doi.org/10.1053/j.ajkd.2021.07.027; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85121437290&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/34710517; https://linkinghub.elsevier.com/retrieve/pii/S027263862100946X; https://dx.doi.org/10.1053/j.ajkd.2021.07.027
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