Trabecular bone score improves fracture risk prediction in non-osteoporotic women: the OFELY study.
The use of areal bone mineral density (aBMD) for fracture prediction may be enhanced by considering bone microarchitectural deterioration. Trabecular bone score (TBS) helped in redefining a significant subset of non-osteoporotic women as a higher risk group.


BACKGROUND
TBS is an index of bone microarchitecture. Our goal was to assess the ability of TBS to predict incident fracture.


METHODS
TBS was assessed in 560 postmenopausal women from the Os des Femmes de Lyon cohort, who had a lumbar spine (LS) DXA scan (QDR 4500A, Hologic) between years 2000 and 2001. During a mean follow-up of 7.8 ± 1.3 years, 94 women sustained 112 fragility fractures.


RESULTS
At the time of baseline DXA scan, women with incident fracture were significantly older (70 ± 9 vs. 65 ± 8 years) and had a lower LS_aBMD and LS_TBS (both -0.4SD, p < 0.001) than women without fracture. The magnitude of fracture prediction was similar for LS_aBMD and LS_TBS (odds ratio [95 % confidence interval] = 1.4 [1.2;1.7] and 1.6 [1.2;2.0]). After adjustment for age and prevalent fracture, LS_TBS remained predictive of an increased risk of fracture. Yet, its addition to age, prevalent fracture, and LS_aBMD did not reach the level of significance to improve the fracture prediction. When using the WHO classification, 39 % of fractures occurred in osteoporotic women, 46 % in osteopenic women, and 15 % in women with T-score > -1. Thirty-seven percent of fractures occurred in the lowest quartile of LS_TBS, regardless of BMD. Moreover, 35 % of fractures that occurred in osteopenic women were classified below this LS_TBS threshold.


CONCLUSIONS
In conclusion, LS_aBMD and LS_TBS predicted fractures equally well. In our cohort, the addition of LS_TBS to age and LS_aBMD added only limited information on fracture risk prediction. However, using the lowest quartile of LS_TBS helped in redefining a significant subset of non-osteoporotic women as a higher risk group which is important for patient management.
INSERM Unit 1033, Hôpital E. Herriot-Pavillon F, Université de Lyon, 5, place d'Arsonval, 69437, Lyon cedex 03, France. stephanie.boutroy@inserm.fr
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Boutroy
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Hans
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Sornay-Rendu
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Vilayphiou
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Winzenrieth
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Chapurlat
D015502:Absorptiometry, Photon / Q000379:methods; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000886:Anthropometry / Q000379:methods; D015519:Bone Density / Q000502:physiology*; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008159:Lumbar Vertebrae / Q000473:pathology* / Q000503:physiopathology; D008875:Middle Aged; D058866:Osteoporotic Fractures / Q000209:etiology* / Q000473:pathology / Q000503:physiopathology; D017698:Postmenopause / Q000502:physiology; D018570:Risk Assessment / Q000379:methods