Skip to main content
Top
Published in: Archives of Osteoporosis 1/2023

Open Access 01-12-2023 | Osteoporosis | Original Article

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

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

Published in: Archives of Osteoporosis | Issue 1/2023

Login to get access

Abstract

Summary

The study shows that the use of unified cutoff thresholds to identify high fracture risks by two popular calculators—FRAX and Garvan—leads to a significant discrepancy between the prediction of fractures and their actual prevalence over the period of 10 years. On the basis of the ROC analyses, a proposal of differentiated thresholds is presented. They were established at 6% for FRAX major fracture risk, 1.4% for FRAX hip fracture risk, 14.4% for Garvan any fracture risk, and 8.8% for Garvan hip fracture risk.

Purpose/introduction

The aim of the study was to verify how much were the tools, designed to predict fracture risks, precise vs. the actual fracture incidence values over a prospective observation.

Methods

The study group consisted of a population-based postmenopausal sample from the RAC-OST-POL Study. At baseline, there were 978 subjects at the mean age of 66.4 ± 7.8 years and, after a 10-year follow-up, 640 women remained at the mean age of 75.0 ± 6.95 years. At baseline, the fracture risk was established by the FRAX and Garvan tools.

Results

During the observation period, 190 osteoporotic fractures were identified in 129 subjects. When high-risk fracture cutoff thresholds (of 10% for major/any and 3% for hip fractures) were employed, only 19.59% of major fractures and 50% of hip fractures were identified in the high-risk group. For the Garvan tool, the percentage of correctly predicted fractures for any and hip fractures was 86.05% and 71.43%, respectively. Nevertheless, the fracture prediction by the Garvan tool was associated with the qualification of numerous subjects to the high-risk group, who subsequently did not experience a fracture in the 10-year follow-up period (false-positive prediction). Based on the ROC analyses, new high-risk thresholds were proposed individually for each calculator, improving the sensitivity, specificity, and diagnostic accuracy of these tools. They were established at 6% for FRAX major fracture risk, 1.4% for FRAX hip fracture risk, 14.4% for Garvan any fracture risk, and 8.8% for Garvan hip fracture risk.

Conclusions

The current prospective study enabled to establish new, optimal thresholds for therapy initiation. Such a modified approach may enable a more accurate identification of treatment requiring patients and, in consequence, reduce the number of new fractures.
Literature
1.
go back to reference Poor G, Atkinson EJ, O’Fallon WM, Melton LJ III (1995) Determinants of reduced survival following hip fractures in men. Clin Orthop Relat Res 319:407–413 Poor G, Atkinson EJ, O’Fallon WM, Melton LJ III (1995) Determinants of reduced survival following hip fractures in men. Clin Orthop Relat Res 319:407–413
2.
go back to reference Klotzbuecher CM, Ross PD, Landsman PD, Abbot PA, Berger M (2000) Patients with prior fractures have increased risk of future fracture: a summary of the literature and statistical synthesis. J Bone Miner Res 15:721–727CrossRefPubMed Klotzbuecher CM, Ross PD, Landsman PD, Abbot PA, Berger M (2000) Patients with prior fractures have increased risk of future fracture: a summary of the literature and statistical synthesis. J Bone Miner Res 15:721–727CrossRefPubMed
3.
4.
go back to reference Nguyen ND, Frost SA, Center JR, Eisman JA, Nguyen TV (2007) Development of a nomogram for individualizing hip fracture risk in men and women. Osteoporos Int 18:1109–1117CrossRefPubMed Nguyen ND, Frost SA, Center JR, Eisman JA, Nguyen TV (2007) Development of a nomogram for individualizing hip fracture risk in men and women. Osteoporos Int 18:1109–1117CrossRefPubMed
5.
go back to reference Nguyen ND, Frost SA, Center JR, Eisman JA, Nguyen TV (2008) Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks. Osteoporos Int 19:1431–1434CrossRefPubMed Nguyen ND, Frost SA, Center JR, Eisman JA, Nguyen TV (2008) Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks. Osteoporos Int 19:1431–1434CrossRefPubMed
6.
go back to reference Donaldson MG, Cawthon PM, Schousboe JT et al (2011) Novel methods to evaluate risk models. J Bone Miner Res 26:1767–1773CrossRefPubMed Donaldson MG, Cawthon PM, Schousboe JT et al (2011) Novel methods to evaluate risk models. J Bone Miner Res 26:1767–1773CrossRefPubMed
7.
go back to reference Rubin KH, Friis-Holmberg T, Hermann AP, Abrahamsen B, Brixen K (2013) Risk assessment tools to identify women with increased risk of osteoporotic fracture: complexity or simplicity? A systematic review. J Bone Miner Res 28:1701–1717CrossRefPubMed Rubin KH, Friis-Holmberg T, Hermann AP, Abrahamsen B, Brixen K (2013) Risk assessment tools to identify women with increased risk of osteoporotic fracture: complexity or simplicity? A systematic review. J Bone Miner Res 28:1701–1717CrossRefPubMed
8.
go back to reference Beaudoin C, Moore L, Gagne M et al (2019) Performance of predictive tools to identify individuals at risk of non-traumatic fracture: a systematic review, meta-analysis and meta-regression. Osteoporos Int 30:721–740CrossRefPubMed Beaudoin C, Moore L, Gagne M et al (2019) Performance of predictive tools to identify individuals at risk of non-traumatic fracture: a systematic review, meta-analysis and meta-regression. Osteoporos Int 30:721–740CrossRefPubMed
9.
go back to reference Chen SY, Chen YJ, Cheng CH, Hwang HF, Chen CY, Lin MR (2016) Comparison of different screening tools for identifying fracture/osteoporosis risk among community-dwelling older people. Medicine 95(20):e3415CrossRefPubMedPubMedCentral Chen SY, Chen YJ, Cheng CH, Hwang HF, Chen CY, Lin MR (2016) Comparison of different screening tools for identifying fracture/osteoporosis risk among community-dwelling older people. Medicine 95(20):e3415CrossRefPubMedPubMedCentral
10.
go back to reference Nguyen TV, Eisman JA (2017) Fracture risk assessment: from population to individual. J Clin Densitom 20:368–378CrossRefPubMed Nguyen TV, Eisman JA (2017) Fracture risk assessment: from population to individual. J Clin Densitom 20:368–378CrossRefPubMed
12.
go back to reference Pluskiewicz W, Adamczyk P, Franek E, Leszczynski P, Sewerynk E, Wichrowska H et al (2010) Ten-year probability of osteoporotic fracture in 2012 Polish women assessed by FRAX and nomogram by Nguyen et al. - conformity between methods and their clinical utility. Bone 46:1661–7CrossRefPubMed Pluskiewicz W, Adamczyk P, Franek E, Leszczynski P, Sewerynk E, Wichrowska H et al (2010) Ten-year probability of osteoporotic fracture in 2012 Polish women assessed by FRAX and nomogram by Nguyen et al. - conformity between methods and their clinical utility. Bone 46:1661–7CrossRefPubMed
13.
go back to reference Pluskiewicz W, Adamczyk P, Franek E et al (2014) FRAX calculator and Garvan nomogram in male osteoporotic population. Aging Male 17:174–182CrossRefPubMed Pluskiewicz W, Adamczyk P, Franek E et al (2014) FRAX calculator and Garvan nomogram in male osteoporotic population. Aging Male 17:174–182CrossRefPubMed
14.
go back to reference Bolland MJ, Siu AT, Manson BH et al (2011) Evaluation of the FRAX and Garvan fracture risk calculators in older women. J Bone Miner Res 26:420–427CrossRefPubMed Bolland MJ, Siu AT, Manson BH et al (2011) Evaluation of the FRAX and Garvan fracture risk calculators in older women. J Bone Miner Res 26:420–427CrossRefPubMed
15.
go back to reference van Geel TACM, Eisman JA, Geusens PP, van den Bergh JPW, Center JR, Dinant GJ (2014) The utility of absolute risk prediction using FRAX and Garvan fracture risk calculator in daily practice. Maturitas 77:174–179CrossRefPubMed van Geel TACM, Eisman JA, Geusens PP, van den Bergh JPW, Center JR, Dinant GJ (2014) The utility of absolute risk prediction using FRAX and Garvan fracture risk calculator in daily practice. Maturitas 77:174–179CrossRefPubMed
16.
go back to reference Billington EO, Gamble GD, Reid IR (2016) Reasons for discrepancy in hip fracture risk estimates using FRAX and Garvan calculators. Maturitas 85:11–18CrossRefPubMed Billington EO, Gamble GD, Reid IR (2016) Reasons for discrepancy in hip fracture risk estimates using FRAX and Garvan calculators. Maturitas 85:11–18CrossRefPubMed
17.
go back to reference Crandall CJ, Larson J, LaCroix A et al (2018) Predicting fracture risk in younger postmenopausal women: comparison of the Garvan and FRAX risk calculators in the women’s Health Initiative Study. J Gen Intern Med 34:235–242CrossRefPubMedPubMedCentral Crandall CJ, Larson J, LaCroix A et al (2018) Predicting fracture risk in younger postmenopausal women: comparison of the Garvan and FRAX risk calculators in the women’s Health Initiative Study. J Gen Intern Med 34:235–242CrossRefPubMedPubMedCentral
18.
go back to reference Holloway-Kew KL, Zhang Y, Betson AG et al (2019) How well do FRAX (Australia) and Garvan calculators predict incident fractures? Data from the Geelong Osteoporosis Study. Osteoporos Int 30:2129–2139CrossRefPubMed Holloway-Kew KL, Zhang Y, Betson AG et al (2019) How well do FRAX (Australia) and Garvan calculators predict incident fractures? Data from the Geelong Osteoporosis Study. Osteoporos Int 30:2129–2139CrossRefPubMed
19.
go back to reference Baleanu F, Iconaru L, Charles A et al (2021) Indepedent external validation of FRAX and Garvan fracture risk calculators: a sub-study of the FRISBEE Cohort. JBMR Plus (WOA) 5(9):e10532CrossRef Baleanu F, Iconaru L, Charles A et al (2021) Indepedent external validation of FRAX and Garvan fracture risk calculators: a sub-study of the FRISBEE Cohort. JBMR Plus (WOA) 5(9):e10532CrossRef
22.
go back to reference Iconaru L, Charles A, Baleanu F et al (2022) Prediction model of an imminent fracture after an index fracture – models derived from the Frisbee Cohort. J Bone Miner Res 37:59–67CrossRefPubMed Iconaru L, Charles A, Baleanu F et al (2022) Prediction model of an imminent fracture after an index fracture – models derived from the Frisbee Cohort. J Bone Miner Res 37:59–67CrossRefPubMed
23.
go back to reference Pluskiewicz W, Adamczyk P, Czekajło A et al (2012) Epidemiological data on osteoporosis in women from the RAC-OST-POL Study. J Clin Densitom: Assess Skelet Health 15:308–314CrossRef Pluskiewicz W, Adamczyk P, Czekajło A et al (2012) Epidemiological data on osteoporosis in women from the RAC-OST-POL Study. J Clin Densitom: Assess Skelet Health 15:308–314CrossRef
24.
go back to reference Werner A, Bach M, Pluskiewicz W (2016) The study of preprocessing methods’ utility in analysis of multidimensional and highly imbalanced medical data. In: Rostański M, Pikiewicz P, Buchwald P, Maczka K (eds) Proceedings of the 11th scientific conference IIIS. Publisher Scientific University of Dąbrowa Górnicza, pp 71–87 Werner A, Bach M, Pluskiewicz W (2016) The study of preprocessing methods’ utility in analysis of multidimensional and highly imbalanced medical data. In: Rostański M, Pikiewicz P, Buchwald P, Maczka K (eds) Proceedings of the 11th scientific conference IIIS. Publisher Scientific University of Dąbrowa Górnicza, pp 71–87
27.
go back to reference Lorenc R, Głuszko P, Franek E et al (2017) Recommendations for diagnostic and therapeutic management in osteoporosis in Poland – update [in Polish]. Endokrynol Pol 68:1–18PubMed Lorenc R, Głuszko P, Franek E et al (2017) Recommendations for diagnostic and therapeutic management in osteoporosis in Poland – update [in Polish]. Endokrynol Pol 68:1–18PubMed
28.
go back to reference Pluskiewicz W, Adamczyk P, Werner A, Bach M, Drozdzowska B (2023) POL-RISK: an algorithm for 10-year fracture risk prediction in the postmenopausal women from the RAC-OST-POL Study. Pol Arch Intern Med 133:16395PubMed Pluskiewicz W, Adamczyk P, Werner A, Bach M, Drozdzowska B (2023) POL-RISK: an algorithm for 10-year fracture risk prediction in the postmenopausal women from the RAC-OST-POL Study. Pol Arch Intern Med 133:16395PubMed
Metadata
Title
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
Authors
W. Pluskiewicz
A. Werner
M. Bach
P. Adamczyk
B. Drozdzowska
Publication date
01-12-2023
Publisher
Springer London
Published in
Archives of Osteoporosis / Issue 1/2023
Print ISSN: 1862-3522
Electronic ISSN: 1862-3514
DOI
https://doi.org/10.1007/s11657-023-01346-3

Other articles of this Issue 1/2023

Archives of Osteoporosis 1/2023 Go to the issue