Literature DB >> 28204954

Biopsy vs. peripheral computed tomography to assess bone disease in CKD patients on dialysis: differences and similarities.

I D B Marques1, M J C L N Araújo1,2, F G Graciolli2, L M Dos Reis2, R M Pereira3, M R Custódio1,2, V Jorgetti2, R M Elias2, E David-Neto1, R M A Moysés4,5.   

Abstract

Results from bone biopsy and high-resolution peripheral quantitative computed tomography (HR-pQCT) were compared in 31 CKD patients. There was an agreement mainly for cortical compartment that may represent a perspective on the fracture risk assessment. HR-pQCT also provided some clues on the turnover status, which warrants further studies.
INTRODUCTION: Chronic kidney disease (CKD) patients are at high risk of bone disease. Although bone biopsy is considered the best method to evaluate bone disease, it is expensive and not always available. Here we have compared, for the first time, data obtained from bone biopsy and HR-pQCT in a sample of CKD patients on dialysis.
METHODS: HR-pQCT and dual-energy X-ray absorptiometry (DXA) were performed in 31 CKD patients (30 on dialysis). Biopsies were analyzed by quantitative histomorphometry, and classified according to TMV.
RESULTS: We have found an inverse correlation between radius cortical density measured by HR-pQCT, with serum, as well as histomorphometric bone remodeling markers. Trabecular density and BV/TV measured through HR-pQCT in the distal radius correlated with trabecular and mineralized trabecular bone volume. Trabecular number, separation, and thickness obtained from HR-pQCT and from bone biopsy correlated with each other. Patients with cortical porosity on bone histomorphometry presented lower cortical density at the distal radius. Cortical density at radius was higher while bone alkaline phosphatase was lower in patients with low turnover. Combined, these parameters could identify the turnover status better than individually.
CONCLUSIONS: There was an agreement between HR-pQCT and bone biopsy parameters, particularly in cortical compartment, which may point to a new perspective on the fracture risk assessment for CKD patients. Besides classical bone resorption markers, HR-pQCT provided some clues on the turnover status by measurements of cortical density at radius, although the significance of this finding warrants further studies.

Entities:  

Keywords:  Bone biopsy; Chronic kidney disease; Cortical density; DXA; Dialysis; HR-pQCT

Mesh:

Substances:

Year:  2017        PMID: 28204954     DOI: 10.1007/s00198-017-3956-9

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  28 in total

1.  Brazilian normal static bone histomorphometry: effects of age, sex, and race.

Authors:  Luciene M Dos Reis; João R Batalha; Daniel R Muñoz; Aurélio Borelli; Pedro H S Correa; Aluizio B Carvalho; Vanda Jorgetti
Journal:  J Bone Miner Metab       Date:  2007-10-25       Impact factor: 2.626

2.  Bone mineral density by DXA and HR pQCT can discriminate fracture status in men and women with stages 3 to 5 chronic kidney disease.

Authors:  S A Jamal; A M Cheung; S L West; C E Lok
Journal:  Osteoporos Int       Date:  2012-12       Impact factor: 4.507

Review 3.  Fracture risk assessment in patients with chronic kidney disease.

Authors:  S A Jamal; S L West; P D Miller
Journal:  Osteoporos Int       Date:  2011-09-08       Impact factor: 4.507

4.  Evaluation of bone microarchitecture by high-resolution peripheral quantitative computed tomography (HR-pQCT) in hemodialysis patients.

Authors:  A L Negri; E E Del Valle; M B Zanchetta; M Nobaru; F Silveira; M Puddu; R Barone; C E Bogado; J R Zanchetta
Journal:  Osteoporos Int       Date:  2012-01-11       Impact factor: 4.507

5.  Risk of hip fracture according to the World Health Organization criteria for osteopenia and osteoporosis.

Authors:  J A Kanis; O Johnell; A Oden; B Jonsson; C De Laet; A Dawson
Journal:  Bone       Date:  2000-11       Impact factor: 4.398

6.  Reproducibility and agreement of micro-CT and histomorphometry in human trabecular bone with different metabolic status.

Authors:  Inari S Tamminen; Hanna Isaksson; Antti S Aula; Eero Honkanen; Jukka S Jurvelin; Heikki Kröger
Journal:  J Bone Miner Metab       Date:  2010-11-10       Impact factor: 2.626

7.  Interpreting vitamin D assay results: proceed with caution.

Authors:  Glenville Jones
Journal:  Clin J Am Soc Nephrol       Date:  2014-08-08       Impact factor: 8.237

8.  Effect of voxel size on 3D micro-CT analysis of cortical bone porosity.

Authors:  David Cooper; Andrei Turinsky; Christoph Sensen; Benedikt Hallgrimsson
Journal:  Calcif Tissue Int       Date:  2007-03-05       Impact factor: 4.333

9.  High rates of death and hospitalization follow bone fracture among hemodialysis patients.

Authors:  Francesca Tentori; Keith McCullough; Ryan D Kilpatrick; Brian D Bradbury; Bruce M Robinson; Peter G Kerr; Ronald L Pisoni
Journal:  Kidney Int       Date:  2013-07-31       Impact factor: 10.612

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  20 in total

1.  Chronic kidney disease is associated with low BMD at the hip but not at the spine.

Authors:  K S Bezerra de Carvalho; R F V Vasco; M R Custodio; V Jorgetti; R M A Moysés; R M Elias
Journal:  Osteoporos Int       Date:  2019-01-28       Impact factor: 4.507

2.  Peripheral quantitative computed tomography (pQCT)-based finite element analysis provides enhanced diagnostic performance in identifying non-vertebral fracture patients compared with dual-energy X-ray absorptiometry.

Authors:  H Jiang; D L Robinson; C J Yates; P V S Lee; J D Wark
Journal:  Osteoporos Int       Date:  2019-11-13       Impact factor: 4.507

3.  Changes in Bone Histomorphometry after Kidney Transplantation.

Authors:  Satu Keronen; Leena Martola; Patrik Finne; Inari S Burton; Heikki Kröger; Eero Honkanen
Journal:  Clin J Am Soc Nephrol       Date:  2019-05-14       Impact factor: 8.237

Review 4.  The Non-invasive Diagnosis of Bone Disorders in CKD.

Authors:  Jordi Bover; Pablo Ureña-Torres; Mario Cozzolino; Minerva Rodríguez-García; Carlos Gómez-Alonso
Journal:  Calcif Tissue Int       Date:  2021-01-04       Impact factor: 4.333

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

Authors:  Syazrah Salam; Orla Gallagher; Fatma Gossiel; Margaret Paggiosi; Arif Khwaja; Richard Eastell
Journal:  J Am Soc Nephrol       Date:  2018-03-19       Impact factor: 10.121

Review 6.  Kidney Disease and Bone: Changing the Way We Look at Skeletal Health.

Authors:  Matthew R Allen; Elizabeth A Swallow; Corinne E Metzger
Journal:  Curr Osteoporos Rep       Date:  2020-06       Impact factor: 5.096

Review 7.  Transcriptomics: a Solution for Renal Osteodystrophy?

Authors:  Aline Martin; Valentin David
Journal:  Curr Osteoporos Rep       Date:  2020-06       Impact factor: 5.096

8.  [Value of serum alkaline phosphatase for predicting 2-year fracture in patients with chronic kidney disease on dialysis].

Authors:  Jianyi Pan; Haitang Hu; Wei Zhang; Jinzhong Chen; Xianrui Dou
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-08-30

9.  The effect of vitamin D and zoledronic acid in bone marrow adiposity in kidney transplant patients: A post hoc analysis.

Authors:  Mariel J Hernandez; Luciene M Dos Reis; Igor D Marques; Maria J Araujo; Cesar A M Truyts; Ivone B Oliveira; Fellype C Barreto; Elias David-Neto; Melani R Custodio; Rosa M Moyses; Ezequiel Bellorin-Font; Vanda Jorgetti
Journal:  PLoS One       Date:  2018-05-25       Impact factor: 3.240

10.  Bone biopsy in chronic kidney disease: still an option?

Authors:  Tilman B Drueke
Journal:  J Bras Nefrol       Date:  2020-05-18
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