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

Article scientifique

Accès libre

Anglais

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

Publié dansAdvances in Therapy, vol. 36, no. 10, p. 2811-2824

Date de publication2019

Résumé

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.

Mots-clés

Algorithm
Bone
Bone biomarker
CTX
Osteoporosis
P1NP
Rheumatology

Structure d'affiliation

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

Groupe de recherche

Génétique des ostéoporoses (544)

Citation (format ISO)

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