4.7 Article

Diagnostic Accuracy of Biomarkers and Imaging for Bone Turnover in Renal Osteodystrophy

Journal

JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY
Volume 29, Issue 5, Pages 1557-1565

Publisher

AMER SOC NEPHROLOGY
DOI: 10.1681/ASN.2017050584

Keywords

renal osteodystrophy; mineral metabolism; parathyroid hormone; hyperparathyroidism; chronic kidney disease; chronic renal failure

Funding

  1. Kidney Research UK
  2. Immunodiagnostic Systems
  3. Sheffield Hospitals Charity
  4. Kidney Research UK [TF2/2014] Funding Source: researchfish
  5. Medical Research Council [MR/P020941/1] Funding Source: researchfish
  6. MRC [MR/P020941/1] Funding Source: UKRI

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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.

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