Algorithm for the Use of Biochemical Markers of Bone Turnover in the Diagnosis, Assessment and Follow-Up of Treatment for Osteoporosis

Lorentzon, Mattias; Branco, Jaime; Brandi, Maria Luisa; Bruyère, Olivier; Chapurlat, Roland; Cooper, Cyrus; Cortet, Bernard; Diez-Perez, Adolfo; Ferrari, Serge Livio; Gasparik, Andrea; Herrmann, Markus; Jorgensen, Niklas Rye; Kanis, John; Kaufman, Jean-Marc; Laslop, Andrea; Locquet, Médéa; Matijevic, Radmila; McCloskey, Eugene; Minisola, Salvatore; Pikner, Richard; Reginster, Jean-Yves; Rizzoli, René; Szulc, Pawel; Vlaskovska, Mila; Cavalier, Etienne

doi:10.1007/s12325-019-01063-9

Scientific article

English

Algorithm for the Use of Biochemical Markers of Bone Turnover in the Diagnosis, Assessment and Follow-Up of Treatment for Osteoporosis

Published inAdvances in Therapy, vol. 36, no. 10, p. 2811-2824

Publication date2019

Abstract

Increased biochemical bone turnover markers (BTMs) measured in serum are associated with bone loss, increased fracture risk and poor treatment adherence, but their role in clinical practice is presently unclear. The aim of this consensus group report is to provide guidance to clinicians on how to use BTMs in patient evaluation in postmenopausal osteoporosis, in fracture risk prediction and in the monitoring of treatment efficacy and adherence to osteoporosis medication.

Keywords

Algorithm
Bone
Bone biomarker
CTX
Osteoporosis
P1NP
Rheumatology

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de médecine

Research groups

Génétique des ostéoporoses (544)

Citation (ISO format)

LORENTZON, Mattias et al. Algorithm for the Use of Biochemical Markers of Bone Turnover in the Diagnosis, Assessment and Follow-Up of Treatment for Osteoporosis. In: Advances in Therapy, 2019, vol. 36, n° 10, p. 2811–2824. doi: 10.1007/s12325-019-01063-9