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Diagnostic Accuracy of Biomarkers and Imaging for Bone Turnover in Renal Osteodystrophy.
J Am Soc Nephrol. 2018 05; 29(5):1557-1565.JA

Abstract

Background Renal osteodystrophy is common in advanced CKD, but characterization of bone turnover status can only be achieved by histomorphometric analysis of bone biopsy specimens (gold standard test). We tested whether bone biomarkers and high-resolution peripheral computed tomography (HR-pQCT) parameters can predict bone turnover status determined by histomorphometry.Methods We obtained fasting blood samples from 69 patients with CKD stages 4-5, including patients on dialysis, and 68 controls for biomarker analysis (intact parathyroid hormone [iPTH], procollagen type 1 N-terminal propeptide [PINP], bone alkaline phosphatase [bALP], collagen type 1 crosslinked C-telopeptide [CTX], and tartrate-resistant acid phosphatase 5b [TRAP5b]) and scanned the distal radius and tibia of participants by HR-pQCT. We used histomorphometry to evaluate bone biopsy specimens from 43 patients with CKD.Results Levels of all biomarkers tested were significantly higher in CKD samples than control samples. For discriminating low bone turnover, bALP, intact PINP, and TRAP5b had an areas under the receiver operating characteristic curve (AUCs) of 0.82, 0.79, and 0.80, respectively, each significantly better than the iPTH AUC of 0.61. Furthermore, radius HR-pQCT total volumetric bone mineral density and cortical bone volume had AUCs of 0.81 and 0.80, respectively. For discriminating high bone turnover, iPTH had an AUC of 0.76, similar to that of all other biomarkers tested.Conclusions The biomarkers bALP, intact PINP, and TRAP5b and radius HR-pQCT parameters can discriminate low from nonlow bone turnover. Despite poor diagnostic accuracy for low bone turnover, iPTH can discriminate high bone turnover with accuracy similar to that of the other biomarkers, including CTX.

Authors+Show Affiliations

Sheffield Kidney Institute, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom; and Syazrah.Salam@sth.nhs.uk. Academic Unit of Bone Metabolism and. Mellanby Centre for Bone Research, Medical School, University of Sheffield, Sheffield, United Kingdom.Mellanby Centre for Bone Research, Medical School, University of Sheffield, Sheffield, United Kingdom.Academic Unit of Bone Metabolism and. Mellanby Centre for Bone Research, Medical School, University of Sheffield, Sheffield, United Kingdom.Academic Unit of Bone Metabolism and. Mellanby Centre for Bone Research, Medical School, University of Sheffield, Sheffield, United Kingdom.Sheffield Kidney Institute, Sheffield Teaching Hospitals National Health Service Foundation Trust, Sheffield, United Kingdom; and.Academic Unit of Bone Metabolism and. Mellanby Centre for Bone Research, Medical School, University of Sheffield, Sheffield, United Kingdom.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

29555831

Citation

Salam, Syazrah, et al. "Diagnostic Accuracy of Biomarkers and Imaging for Bone Turnover in Renal Osteodystrophy." Journal of the American Society of Nephrology : JASN, vol. 29, no. 5, 2018, pp. 1557-1565.
Salam S, Gallagher O, Gossiel F, et al. Diagnostic Accuracy of Biomarkers and Imaging for Bone Turnover in Renal Osteodystrophy. J Am Soc Nephrol. 2018;29(5):1557-1565.
Salam, S., Gallagher, O., Gossiel, F., Paggiosi, M., Khwaja, A., & Eastell, R. (2018). Diagnostic Accuracy of Biomarkers and Imaging for Bone Turnover in Renal Osteodystrophy. Journal of the American Society of Nephrology : JASN, 29(5), 1557-1565. https://doi.org/10.1681/ASN.2017050584
Salam S, et al. Diagnostic Accuracy of Biomarkers and Imaging for Bone Turnover in Renal Osteodystrophy. J Am Soc Nephrol. 2018;29(5):1557-1565. PubMed PMID: 29555831.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Diagnostic Accuracy of Biomarkers and Imaging for Bone Turnover in Renal Osteodystrophy. AU - Salam,Syazrah, AU - Gallagher,Orla, AU - Gossiel,Fatma, AU - Paggiosi,Margaret, AU - Khwaja,Arif, AU - Eastell,Richard, Y1 - 2018/03/19/ PY - 2017/05/28/received PY - 2018/02/13/accepted PY - 2018/3/21/pubmed PY - 2019/9/11/medline PY - 2018/3/21/entrez KW - chronic kidney disease KW - chronic renal failure KW - hyperparathyroidism KW - mineral metabolism KW - parathyroid hormone KW - renal osteodystrophy SP - 1557 EP - 1565 JF - Journal of the American Society of Nephrology : JASN JO - J Am Soc Nephrol VL - 29 IS - 5 N2 - Background Renal osteodystrophy is common in advanced CKD, but characterization of bone turnover status can only be achieved by histomorphometric analysis of bone biopsy specimens (gold standard test). We tested whether bone biomarkers and high-resolution peripheral computed tomography (HR-pQCT) parameters can predict bone turnover status determined by histomorphometry.Methods We obtained fasting blood samples from 69 patients with CKD stages 4-5, including patients on dialysis, and 68 controls for biomarker analysis (intact parathyroid hormone [iPTH], procollagen type 1 N-terminal propeptide [PINP], bone alkaline phosphatase [bALP], collagen type 1 crosslinked C-telopeptide [CTX], and tartrate-resistant acid phosphatase 5b [TRAP5b]) and scanned the distal radius and tibia of participants by HR-pQCT. We used histomorphometry to evaluate bone biopsy specimens from 43 patients with CKD.Results Levels of all biomarkers tested were significantly higher in CKD samples than control samples. For discriminating low bone turnover, bALP, intact PINP, and TRAP5b had an areas under the receiver operating characteristic curve (AUCs) of 0.82, 0.79, and 0.80, respectively, each significantly better than the iPTH AUC of 0.61. Furthermore, radius HR-pQCT total volumetric bone mineral density and cortical bone volume had AUCs of 0.81 and 0.80, respectively. For discriminating high bone turnover, iPTH had an AUC of 0.76, similar to that of all other biomarkers tested.Conclusions The biomarkers bALP, intact PINP, and TRAP5b and radius HR-pQCT parameters can discriminate low from nonlow bone turnover. Despite poor diagnostic accuracy for low bone turnover, iPTH can discriminate high bone turnover with accuracy similar to that of the other biomarkers, including CTX. SN - 1533-3450 UR - https://www.unboundmedicine.com/medline/citation/29555831/Diagnostic_Accuracy_of_Biomarkers_and_Imaging_for_Bone_Turnover_in_Renal_Osteodystrophy_ L2 - https://jasn.asnjournals.org/cgi/pmidlookup?view=long&pmid=29555831 DB - PRIME DP - Unbound Medicine ER -