Predictive performance of the Garvan Fracture Risk Calculator: a registry-based cohort study

被引:15
作者
Agarwal, A. [1 ]
Leslie, W. D. [2 ]
Nguyen, T., V [3 ]
Morin, S. N. [4 ]
Lix, L. M. [5 ]
Eisman, J. A. [6 ]
机构
[1] McMaster Univ, Dept Med, Div Gen Internal Med, Hamilton, ON, Canada
[2] Univ Manitoba, Dept Med, C5121,409 Tache Ave, Winnipeg, MB R2H 2A6, Canada
[3] Univ Technol Sydney, Sydney, NSW, Australia
[4] McGill Univ, Montreal, PQ, Canada
[5] Univ Manitoba, Dept Community Healkth Sci, Winnipeg, MB, Canada
[6] Garvan Inst Med Res, Sydney, NSW, Australia
关键词
Fracture; Garvan; Osteoporosis; Predictive performance; Risk prediction; HIP FRACTURE;
D O I
10.1007/s00198-021-06252-3
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The G arvan Fracture Risk Calculator predicts risk of osteoporotic fractures. We evaluated its predictive performance in 16,682 women and 2839 men from Manitoba, Canada, and found significant risk stratification, with a strong gradient across scores. The tool outperformed clinical risk factors and bone mineral density for fracture risk stratification. Introduction The optimal model for fracture risk estimation to guide treatment decision-making remains controversial. Our objective was to evaluate the predictive performance of the Garvan Fracture Risk Calculator (FRC) in a large clinical registry from Manitoba, Canada. Methods Using the population-based Manitoba Bone Mineral Density (BMD) registry, we identified women and men aged 50-95 years undergoing baseline BMD assessment from September 1, 2012, onwards. Five-year Garvan FRC predictions were generated from clinical risk factors (CRFs) with and without femoral neck BMD. We identified incident non-traumatic osteoporotic fractures (OFs) and hip fractures (HFs) from population-based healthcare data sources to March 31, 2018. Fracture risk was assessed from area under the receiver operating characteristic curve (AUROC). Cox regression analysis and calibration ratios (5-year observed/predicted) were assessed for risk quintiles. All analyses were sex stratified. Results We included 16,682 women (mean age 66.6 + / - SD 8.7 years) and 2839 men (mean age 68.7 + / - SD 10.2 years). During a mean observation time of 2.6 years, incident OFs were identified in 681 women and 140 men and HFs in 199 women and 22 men. AUROC showed significant fracture risk stratification with the Garvan FRC. Tool predictions without BMD were better than from age or decreasing weight, and the tool with BMD performed better than BMD alone. Garvan FRC with BMD performed better than without BMD, especially for HF prediction (AUROC 0.86 in women, 0.82 in men). There was a strong gradient of increasing risk across Garvan FRC quintiles (highest versus lowest, hazard ratios women 5.75 and men 3.43 for any OF; women 101.6 for HF). Calibration differences were noted, with both over- and underestimation in risk. Conclusions Garvan FRC outperformed CRFs and BMD alone for fracture risk stratification, particularly for HF, but may require recalibration for accurate predictions in this population.
引用
收藏
页码:541 / 548
页数:8
相关论文
共 20 条
[1]   External Validation of the Garvan Nomograms for Predicting Absolute Fracture Risk: The Tromso Study [J].
Ahmed, Luai A. ;
Nguyen, Nguyen D. ;
Bjornerem, Ashild ;
Joakimsen, Ragnar M. ;
Jorgensen, Lone ;
Stormer, Jan ;
Bliuc, Dana ;
Center, Jacqueline R. ;
Eisman, John A. ;
Nguyen, Tuan V. ;
Emaus, Nina .
PLOS ONE, 2014, 9 (09)
[2]  
[Anonymous], 1994, World Health Organ Tech Rep Ser, V843, P1
[3]   Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub-Study of the FRISBEE Cohort [J].
Baleanu, Felicia ;
Iconaru, Laura ;
Charles, Alexia ;
Kinnard, Virginie ;
Fils, Jean-Francois ;
Moreau, Michel ;
Karmali, Rafik ;
Surquin, Murielle ;
Benoit, Florence ;
Mugisha, Aude ;
Paesmans, Marianne ;
Laurent, Michael R. ;
Bergmann, Pierre ;
Body, Jean-Jacques .
JBMR PLUS, 2021, 5 (09)
[4]   Performance of predictive tools to identify individuals at risk of non-traumatic fracture: a systematic review, meta-analysis, and meta-regression [J].
Beaudoin, C. ;
Moore, L. ;
Gagne, M. ;
Bessette, L. ;
Ste-Marie, L. G. ;
Brown, J. P. ;
Jean, S. .
OSTEOPOROSIS INTERNATIONAL, 2019, 30 (04) :721-740
[5]   Osteoporosis [J].
Compston, Juliet E. ;
McClung, Michael R. ;
Leslie, William D. .
LANCET, 2019, 393 (10169) :364-376
[6]   External validation and comparison of three prediction tools for risk of osteoporotic fractures using data from population based electronic health records: retrospective cohort study [J].
Dagan, Noa ;
Cohen-Stavi, Chandra ;
Leventer-Roberts, Maya ;
Balicer, Ran D. .
BMJ-BRITISH MEDICAL JOURNAL, 2017, 356
[7]   A METHOD OF COMPARING THE AREAS UNDER RECEIVER OPERATING CHARACTERISTIC CURVES DERIVED FROM THE SAME CASES [J].
HANLEY, JA ;
MCNEIL, BJ .
RADIOLOGY, 1983, 148 (03) :839-843
[8]   A systematic review of intervention thresholds based on FRAX A report prepared for the National Osteoporosis Guideline Group and the International Osteoporosis Foundation [J].
Kanis, John A. ;
Harvey, Nicholas C. ;
Cooper, Cyrus ;
Johansson, Helena ;
Oden, Anders ;
McCloskey, Eugene V. .
ARCHIVES OF OSTEOPOROSIS, 2016, 11 (01)
[9]   Independent external validation of nomograms for predicting risk of low-trauma fracture and hip fracture [J].
Langsetmo, Lisa ;
Nguyen, Tuan V. ;
Nguyen, Nguyen D. ;
Kovacs, Christopher S. ;
Prior, Jerilynn C. ;
Center, Jacqueline R. ;
Morin, Suzanne ;
Josse, Robert G. ;
Adachi, Jonathan D. ;
Hanley, David A. ;
Eisman, John A. .
CANADIAN MEDICAL ASSOCIATION JOURNAL, 2011, 183 (02) :E107-E114
[10]   Construction and validation of a population-based bone densitometry database [J].
Leslie, WD ;
Caetano, PA ;
MacWilliam, LR ;
Finlayson, GS .
JOURNAL OF CLINICAL DENSITOMETRY, 2005, 8 (01) :25-30