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Osteologie 2015; 24(03): 183-186
DOI: 10.1055/s-0037-1622058
Original and review articles
Schattauer GmbH

Evaluation of the validity of the FRAX® algorithm for predicting risk of osteoporotic fracture in Iran

Evaluierung der Validität des FRAX®-Algorithmus zur Berechnung des Risikos einer osteoporose -bedingten Fraktur im Iran
F. Amininezhad
1   Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
,
H. A. Meybodi
1   Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
,
M. Qorbani
2   Department of Community Medicine, Alborz University of Medical Sciences, Karaj; Department of Epidemiology and Biostatistics, Iran University of Medical Sciences, Tehran, Iran
,
M. Dini
3   Non-communicable Disease Department, Ministry of Health and Medical Education, Tehran, Iran
,
Z. Mohammadi
1   Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
,
P. Khashayar
1   Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
4   Center for Microsystems Technology, Imec and Ghent University, Gent-Zwijnaarde, Belgium
,
A. Keshtkar
5   Department of Health Sciences Education Development, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
,
B. Larijani
6   Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
› Author Affiliations
Further Information

Publication History

received: 28 August 2014

accepted after revision: 09 March 2015

Publication Date:
02 January 2018 (online)

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Summary

Objectives

The present study was designed to determine the most applicable FRAX® model for the Iranian population. Methods: Seventy four men and women (with the mean age of 70 years), who had experienced at least a fragility fracture in their life, along with 162 individuals with no such an experience (with the mean age of 66 years), were enrolled in this study. Fracture probabilities were calculated using FRAX® models from Jordan, Lebanon and the US.

Results

We found a significant difference in the probability rate between the fracture cases and the controls; the rate, however, was lower than the recommended threshold for intervention, especially for the Lebanese and the Jordanian models.

Conclusion

As for women all the three models had a good discrimination value, while the Lebanese and the Jordanian model needed to be revised. As for men, on the other hand, the Jordanian model had a low discriminative value. The Lebanese model, despite its acceptable discrimination value, needed a revision regarding its threshold. The US model was the most compatible.

Zusammenfassung

Studienziele

Diese Studie wurde konzipiert, um zu bestimmen, welches FRAX®-Modell für die iranische Bevölkerung am besten geeignet ist.

Methoden

In diese Studie wurden 74 Männer und Frauen (Durchschnittsalter: 70 Jahre) eingeschlossen, die in ihrem Leben mindestens eine Fragilitätsfraktur erlitten haben, sowie 162 Personen ohne derartige Frakturen (Durchschnittsalter: 66 Jahre). Die Frakturwahrscheinlichkeiten wurden anhand der FRAX®-Modelle von Jordanien, dem Libanon und der USA berechnet.

Ergebnisse

Wir haben signifikant unterschiedliche Wahrscheinlichkeiten bei den Frakturfällen und Kontrollen festgestellt. Die Rate war jedoch insbesondere bei den libanesischen und jordanischen Modellen niedriger als die empfohlene Interventionsschwelle.

Schlussfolgerung

Für Frauen hatten alle drei Modelle einen guten Diskriminationswert, allerdings mussten das libanesische und jordanische Modell überarbeitet werden. Für Männer hatte das jordanische Modell jedoch einen niedrigen Diskriminationswert. Beim libanesischen Modell musste trotz des akzeptablen Diskriminationswerts die Schwelle überarbeitet werden. Das US-Modell war am besten geeignet.

Keywords

FRAX® - fractures - bone - osteoporosis - Iran

Schlüsselwörter

FRAX® - Frakturen - Knochen - Osteoporose - Iran
 

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