Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study.
Absorptiometry, Photon
Aged
Aged, 80 and over
Bone Density
Bone Diseases, Metabolic
/ diagnostic imaging
Cancellous Bone
/ diagnostic imaging
Cortical Bone
/ diagnostic imaging
Female
Femur Neck
/ diagnostic imaging
Fractures, Bone
/ epidemiology
Humans
Incidence
Male
Middle Aged
Osteoporosis
/ diagnostic imaging
Osteoporotic Fractures
/ epidemiology
Proportional Hazards Models
Prospective Studies
Risk Assessment
Tomography, X-Ray Computed
Journal
The lancet. Diabetes & endocrinology
ISSN: 2213-8595
Titre abrégé: Lancet Diabetes Endocrinol
Pays: England
ID NLM: 101618821
Informations de publication
Date de publication:
01 2019
01 2019
Historique:
received:
16
07
2018
revised:
17
10
2018
accepted:
18
10
2018
pubmed:
7
12
2018
medline:
6
5
2020
entrez:
4
12
2018
Statut:
ppublish
Résumé
Although areal bone mineral density (aBMD) assessed by dual-energy x-ray absorptiometry (DXA) is the clinical standard for determining fracture risk, most older adults who sustain a fracture have T scores greater than -2·5 and thus do not meet the clinical criteria for osteoporosis. Importantly, bone fragility is due to low BMD and deterioration in bone structure. We assessed whether indices of high-resolution peripheral quantitative CT (HR-pQCT) were associated with fracture risk independently of femoral neck aBMD and the Fracture Risk Assessment Tool (FRAX) score. We assessed participants in eight cohorts from the USA (Framingham, Mayo Clinic), France (QUALYOR, STRAMBO, OFELY), Switzerland (GERICO), Canada (CaMos), and Sweden (MrOS). We used Cox proportional hazard ratios (HRs) to estimate the association between HR-pQCT bone indices (per 1 SD of deficit) and incident fracture, adjusting for age, sex, height, weight, and cohort, and then additionally for femoral neck DXA aBMD or FRAX. 7254 individuals (66% women and 34% men) were assessed. Mean baseline age was 69 years (SD 9, range 40-96). Over a mean follow-up of 4·63 years (SD 2·41) years, 765 (11%) participants had incident fractures, of whom 633 (86%) had femoral neck T scores greater than -2·5. After adjustment for age, sex, cohort, height, and weight, peripheral skeleton failure load had the greatest association with risk of fracture: tibia HR 2·40 (95% CI 1·98-2·91) and radius 2·13 (1·77-2·56) per 1 SD decrease. HRs for other bone indices ranged from 1·12 (95% CI 1·03-1·23) per 1 SD increase in tibia cortical porosity to 1·58 (1·45-1·72) per 1 SD decrease in radius trabecular volumetric bone density. After further adjustment for femoral neck aBMD or FRAX score, the associations were reduced but remained significant for most bone parameters. A model including cortical volumetric bone density, trabecular number, and trabecular thickness at the distal radius and a model including these indices plus cortical area at the tibia were the best predictors of fracture. HR-pQCT indices and failure load improved prediction of fracture beyond femoral neck aBMD or FRAX scores alone. Our findings from a large international cohort of men and women support previous reports that deficits in trabecular and cortical bone density and structure independently contribute to fracture risk. These measurements and morphological assessment of the peripheral skeleton might improve identification of people at the highest risk of fracture. National Institutes of Health National Institute of Arthritis Musculoskeletal and Skin Diseases.
Sections du résumé
BACKGROUND
Although areal bone mineral density (aBMD) assessed by dual-energy x-ray absorptiometry (DXA) is the clinical standard for determining fracture risk, most older adults who sustain a fracture have T scores greater than -2·5 and thus do not meet the clinical criteria for osteoporosis. Importantly, bone fragility is due to low BMD and deterioration in bone structure. We assessed whether indices of high-resolution peripheral quantitative CT (HR-pQCT) were associated with fracture risk independently of femoral neck aBMD and the Fracture Risk Assessment Tool (FRAX) score.
METHODS
We assessed participants in eight cohorts from the USA (Framingham, Mayo Clinic), France (QUALYOR, STRAMBO, OFELY), Switzerland (GERICO), Canada (CaMos), and Sweden (MrOS). We used Cox proportional hazard ratios (HRs) to estimate the association between HR-pQCT bone indices (per 1 SD of deficit) and incident fracture, adjusting for age, sex, height, weight, and cohort, and then additionally for femoral neck DXA aBMD or FRAX.
FINDINGS
7254 individuals (66% women and 34% men) were assessed. Mean baseline age was 69 years (SD 9, range 40-96). Over a mean follow-up of 4·63 years (SD 2·41) years, 765 (11%) participants had incident fractures, of whom 633 (86%) had femoral neck T scores greater than -2·5. After adjustment for age, sex, cohort, height, and weight, peripheral skeleton failure load had the greatest association with risk of fracture: tibia HR 2·40 (95% CI 1·98-2·91) and radius 2·13 (1·77-2·56) per 1 SD decrease. HRs for other bone indices ranged from 1·12 (95% CI 1·03-1·23) per 1 SD increase in tibia cortical porosity to 1·58 (1·45-1·72) per 1 SD decrease in radius trabecular volumetric bone density. After further adjustment for femoral neck aBMD or FRAX score, the associations were reduced but remained significant for most bone parameters. A model including cortical volumetric bone density, trabecular number, and trabecular thickness at the distal radius and a model including these indices plus cortical area at the tibia were the best predictors of fracture.
INTERPRETATION
HR-pQCT indices and failure load improved prediction of fracture beyond femoral neck aBMD or FRAX scores alone. Our findings from a large international cohort of men and women support previous reports that deficits in trabecular and cortical bone density and structure independently contribute to fracture risk. These measurements and morphological assessment of the peripheral skeleton might improve identification of people at the highest risk of fracture.
FUNDING
National Institutes of Health National Institute of Arthritis Musculoskeletal and Skin Diseases.
Identifiants
pubmed: 30503163
pii: S2213-8587(18)30308-5
doi: 10.1016/S2213-8587(18)30308-5
pmc: PMC6354581
mid: NIHMS1516001
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
34-43Subventions
Organisme : NIA NIH HHS
ID : R01 AG041658
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500001C
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR061445
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR041398
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR027065
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500001I
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC25195
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002377
Pays : United States
Commentaires et corrections
Type : CommentIn
Type : ErratumIn
Type : ErratumIn
Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.
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