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.


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
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

34-43

Subventions

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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Auteurs

Elizabeth J Samelson (EJ)

Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. Electronic address: samelson@hsl.harvard.edu.

Kerry E Broe (KE)

Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.

Hanfei Xu (H)

Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.

Laiji Yang (L)

Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA.

Steven Boyd (S)

McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB, Canada.

Emmanuel Biver (E)

Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Pawel Szulc (P)

INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France.

Jonathan Adachi (J)

Department of Medicine, Michael G DeGroote School of Medicine, St Joseph's Healthcare-McMaster University, Hamilton, ON, Canada.

Shreyasee Amin (S)

Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

Elizabeth Atkinson (E)

Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

Claudie Berger (C)

Research Institute of the McGill University Health Centre, Montreal, QC, Canada.

Lauren Burt (L)

McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB, Canada.

Roland Chapurlat (R)

INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France.

Thierry Chevalley (T)

Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Serge Ferrari (S)

Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

David Goltzman (D)

Departments of Medicine, McGill University and McGill University Health Centre, Montreal, QC, Canada.

David A Hanley (DA)

McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, AB, Canada.

Marian T Hannan (MT)

Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Sundeep Khosla (S)

Mayo Clinic College of Medicine and Science, Rochester, MN, USA.

Ching-Ti Liu (CT)

Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.

Mattias Lorentzon (M)

Geriatric Medicine and Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Dan Mellstrom (D)

Geriatric Medicine and Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Blandine Merle (B)

INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France.

Maria Nethander (M)

Geriatric Medicine and Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Bioinformatics Core Facility, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

René Rizzoli (R)

Division of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Elisabeth Sornay-Rendu (E)

INSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France.

Bert Van Rietbergen (B)

Department of Biomedical Engineering, Eindhoven University of Technology; Eindhoven, Netherlands.

Daniel Sundh (D)

Geriatric Medicine and Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Andy Kin On Wong (AKO)

Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada.

Claes Ohlsson (C)

Geriatric Medicine and Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Serkalem Demissie (S)

Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.

Douglas P Kiel (DP)

Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Mary L Bouxsein (ML)

Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Orthopedic Surgery, Harvard Medical School, Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, Boston, MA, USA.

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Classifications MeSH