Optimal fracture prediction thresholds for therapy onset, established from FRAX and Garvan algorithms: a longitudinal observation of the population representative female cohort from the RAC-OST-POL Study.

Pluskiewicz, W; Werner, A; Bach, M; Adamczyk, P; Drozdzowska, B

Pluskiewicz, W; Werner, A; Bach, M; Adamczyk, P; Drozdzowska, B.

Affiliation

Pluskiewicz W; Department and Clinic of Internal Diseases, Diabetology, and Nephrology, Metabolic Bone Diseases Unit, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 3-Maja 13/15 Street, 41-800, Zabrze, Poland. wpluskiewicz@sum.edu.pl.
Werner A; Department of Applied Informatics, Silesian University of Technology, 44-100, Gliwice, Poland.
Bach M; Department of Applied Informatics, Silesian University of Technology, 44-100, Gliwice, Poland.
Adamczyk P; Department of Pediatrics, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, Katowice, Poland.
Drozdzowska B; Department of Pathomorphology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Katowice, Poland.

Arch Osteoporos ; 18(1): 136, 2023 11 16.

Article in En | MEDLINE | ID: mdl-37973685

Subject(s)

Hip Fractures; Osteoporotic Fractures; Female; Humans; Middle Aged; Aged; Aged, 80 and over; Prospective Studies; Bone Density; Risk Factors; Osteoporotic Fractures/etiology; Hip Fractures/etiology; Algorithms; Risk Assessment

Key words

Fracture; Fracture prediction; Osteoporosis; Women

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Osteoporotic Fractures / Hip Fractures Limits: Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: Arch Osteoporos Year: 2023 Document type: Article

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