» Articles » PMID: 28974744

Variations of Parathyroid Hormone and Bone Biomarkers Are Concordant Only After a Long Term Follow-up in Hemodialyzed Patients

Overview
Journal Sci Rep
Specialty Science
Date 2017 Oct 5
PMID 28974744
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

End-stage renal disease is associated with mineral and bone disorders. Guidelines recommending therapies should be based on serial assessments of biomarkers, and thus on variations (Δ), rather than scattered values. We analyzed the correlations between ΔPTH and Δbone biomarkers such as bone-specific alkaline phosphatase (b-ALP), Beta-CrossLaps (CTX), osteocalcin, intact serum procollagen type-1 N-propeptide (P1NP), and tartrate-resistant acid phosphatase 5B (TRAP-5B) at different time-points. In this prospective observational analysis, variations of biomarkers were followed after 6-week (n = 129), 6-month (n = 108) and one-year (n = 93) period. Associations between variations were studied by univariate linear regression. Patients followed for one-year period were classified (increaser or decliner) according to variations reaching the critical difference. Over the 6-week period, only ΔCTX was correlated with ΔPTH (r = 0.38, p < 0.0001). Over the one-year period, correlations between ΔPTH and Δbone biomarkers became significant (r from 0.23 to 0.47, p < 0.01), except with ΔTRAP-5b. Correlations between Δbone biomarkers were all significant after one-year period (r from 0.31 to 0.68, p < 0.01), except between Δb-ALP and ΔTRAP-5b. In the head-to-head classifications (decliners/increasers), the percentage of concordant patients was significantly higher over the one-year than the 6-week period. A concordance between ΔPTH and Δbone biomarkers is observed in dialysis patients, but only after a long follow-up.

Citing Articles

Osteocalcin and Abdominal Aortic Calcification in Hemodialysis Patients: An Observational Cross-Sectional Study.

Jia F, Wang S, Jing Y, Zhao H, Rong P, Zhang H Front Endocrinol (Lausanne). 2021; 12:620350.

PMID: 33815281 PMC: 8018234. DOI: 10.3389/fendo.2021.620350.


Bone turnover correlates with bone quantity but not bone microarchitecture in chronic hemodialysis.

Dusceac R, Niculescu D, Dobre R, Sorohan M, Caragheorgheopol A, Tacu C J Bone Miner Metab. 2020; 38(4):597-604.

PMID: 32144577 DOI: 10.1007/s00774-020-01094-1.


Severe secondary hyperparathyroidism in patients on haemodialysis is associated with a high initial serum parathyroid hormone and beta-CrossLaps level: Results from an incident cohort.

Jean G, Lafage-Proust M, Souberbielle J, Lechevallier S, Deleaval P, Lorriaux C PLoS One. 2018; 13(6):e0199140.

PMID: 29912988 PMC: 6005469. DOI: 10.1371/journal.pone.0199140.

References
1.
Vervloet M, Brandenburg V . Circulating markers of bone turnover. J Nephrol. 2017; 30(5):663-670. PMC: 5628199. DOI: 10.1007/s40620-017-0408-8. View

2.
Yamada S, Inaba M, Kurajoh M, Shidara K, Imanishi Y, Ishimura E . Utility of serum tartrate-resistant acid phosphatase (TRACP5b) as a bone resorption marker in patients with chronic kidney disease: independence from renal dysfunction. Clin Endocrinol (Oxf). 2008; 69(2):189-96. DOI: 10.1111/j.1365-2265.2008.03187.x. View

3.
Streja E, Wang H, Lau W, Molnar M, Kovesdy C, Kalantar-Zadeh K . Mortality of combined serum phosphorus and parathyroid hormone concentrations and their changes over time in hemodialysis patients. Bone. 2014; 61:201-7. PMC: 4024455. DOI: 10.1016/j.bone.2014.01.016. View

4.
Mundy G, Guise T . Hormonal control of calcium homeostasis. Clin Chem. 1999; 45(8 Pt 2):1347-52. View

5.
Malluche H, Davenport D, Cantor T, Monier-Faugere M . Bone mineral density and serum biochemical predictors of bone loss in patients with CKD on dialysis. Clin J Am Soc Nephrol. 2014; 9(7):1254-62. PMC: 4078960. DOI: 10.2215/CJN.09470913. View