Literature DB >> 28175980

Spine fracture prevalence in a nationally representative sample of US women and men aged ≥40 years: results from the National Health and Nutrition Examination Survey (NHANES) 2013-2014.

F Cosman1,2, J H Krege3, A C Looker4, J T Schousboe5, B Fan6, N Sarafrazi Isfahani4, J A Shepherd6, K D Krohn3, P Steiger7, K E Wilson8, H K Genant6.   

Abstract

Spine fracture prevalence is similar in men and women, increasing from <5 % in those <60 to 11 % in those 70-79 and 18 % in those ≥80 years. Prevalence was higher with age, lower bone mineral density (BMD), and in those meeting criteria for spine imaging. Most subjects with spine fractures were unaware of them.
INTRODUCTION: Spine fractures have substantial medical significance but are seldom recognized. This study collected contemporary nationally representative spine fracture prevalence data.
METHODS: Cross-sectional analysis of 3330 US adults aged ≥40 years participating in NHANES 2013-2014 with evaluable Vertebral Fracture Assessment (VFA). VFA was graded by semiquantitative measurement. BMD and an osteoporosis questionnaire were collected.
RESULTS: Overall spine fracture prevalence was 5.4 % and similar in men and women. Prevalence increased with age from <5 % in those <60 to 11 % in those 70-79 and 18 % in those ≥80 years. Fractures were more common in non-Hispanic whites and in people with lower body mass index and BMD. Among subjects with spine fracture, 26 % met BMD criteria for osteoporosis. Prevalence was higher in subjects who met National Osteoporosis Foundation (NOF) criteria for spine imaging (14 vs 4.7 %, P < 0.001). Only 8 % of people with a spine fracture diagnosed by VFA had a self-reported fracture, and among those who self-reported a spine fracture, only 21 % were diagnosed with fracture by VFA.
CONCLUSION: Spine fracture prevalence is similar in women and men and increases with age and lower BMD, although most subjects with spine fracture do not meet BMD criteria for osteoporosis. Since most (>90 %) individuals were unaware of their spine fractures, lateral spine imaging is needed to identify these women and men. Spine fracture prevalence was threefold higher in individuals meeting NOF criteria for spine imaging (∼1 in 7 undergoing VFA). Identifying spine fractures as part of comprehensive risk assessment may improve clinical decision making.

Entities:  

Keywords:  Osteoporosis; Prevalence; Screening; Spine fracture; Vertebral Fracture Assessment (VFA)

Mesh:

Year:  2017        PMID: 28175980      PMCID: PMC7422504          DOI: 10.1007/s00198-017-3948-9

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  60 in total

1.  Failure to diagnose and treat osteoporosis in elderly patients hospitalized with hip fracture.

Authors:  H K Kamel; M S Hussain; S Tariq; H M Perry; J E Morley
Journal:  Am J Med       Date:  2000-09       Impact factor: 4.965

2.  Visual assessment of vertebral deformity by X-ray absorptiometry: a highly predictive method to exclude vertebral deformity.

Authors:  J A Rea; J Li; G M Blake; P Steiger; H K Genant; I Fogelman
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

Review 3.  2013 International Society for Clinical Densitometry Position Development Conference: Task Force on Normative Databases.

Authors:  Nelson B Watts; William D Leslie; A Joseph Foldes; Paul D Miller
Journal:  J Clin Densitom       Date:  2013-09-26       Impact factor: 2.617

4.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

5.  Failure to treat osteoporosis and the risk of subsequent fractures in elderly patients with previous hip fracture: a five-year retrospective study.

Authors:  Francesc Formiga; Agnes Rivera; Juan Miquel Nolla; Antonio Coscujuela; Ana Sole; Ramón Pujol
Journal:  Aging Clin Exp Res       Date:  2005-04       Impact factor: 3.636

6.  Updated data on proximal femur bone mineral levels of US adults.

Authors:  A C Looker; H W Wahner; W L Dunn; M S Calvo; T B Harris; S P Heyse; C C Johnston; R Lindsay
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

7.  Algorithm-based qualitative and semiquantitative identification of prevalent vertebral fracture: agreement between different readers, imaging modalities, and diagnostic approaches.

Authors:  Lynne Ferrar; Guirong Jiang; John T Schousboe; Charles R DeBold; Richard Eastell
Journal:  J Bone Miner Res       Date:  2008-03       Impact factor: 6.741

8.  Prevalence of vertebral fractures and minor vertebral deformities evaluated by DXA-assisted vertebral fracture assessment (VFA) in a population-based study of postmenopausal women: the FRODOS study.

Authors:  E Kanterewicz; E Puigoriol; J García-Barrionuevo; L del Rio; M Casellas; P Peris
Journal:  Osteoporos Int       Date:  2014-03-06       Impact factor: 4.507

9.  Denosumab for prevention of fractures in postmenopausal women with osteoporosis.

Authors:  Steven R Cummings; Javier San Martin; Michael R McClung; Ethel S Siris; Richard Eastell; Ian R Reid; Pierre Delmas; Holly B Zoog; Matt Austin; Andrea Wang; Stepan Kutilek; Silvano Adami; Jose Zanchetta; Cesar Libanati; Suresh Siddhanti; Claus Christiansen
Journal:  N Engl J Med       Date:  2009-08-11       Impact factor: 91.245

10.  Fracture risk prediction: importance of age, BMD and spine fracture status.

Authors:  John H Krege; Xiaohai Wan; Brian C Lentle; Claudie Berger; Lisa Langsetmo; Jonathan D Adachi; Jerilynn C Prior; Alan Tenenhouse; Jacques P Brown; Nancy Kreiger; Wojciech P Olszynski; Robert G Josse; David Goltzman
Journal:  Bonekey Rep       Date:  2013-09-04
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  25 in total

1.  Opportunistic Osteoporosis Screening with Cardiac CT: Can We Predict Future Fractures?

Authors:  Miriam A Bredella
Journal:  Radiology       Date:  2020-07-14       Impact factor: 11.105

2.  Identification of vertebral fractures: a moderately severe solution?

Authors:  E V McCloskey
Journal:  Osteoporos Int       Date:  2017-04-27       Impact factor: 4.507

Review 3.  Spinal radiographs in those with back pain-when are they appropriate to diagnose vertebral fractures?

Authors:  E M Clark; S R Cummings; J T Schousboe
Journal:  Osteoporos Int       Date:  2017-04-25       Impact factor: 4.507

4.  Spine fracture prevalence in a nationally representative sample of US women and men aged ≥40 years: results from the National Health and Nutrition Examination Survey (NHANES) 2013-2014---supplementary presentation.

Authors:  F Cosman
Journal:  Osteoporos Int       Date:  2017-07-10       Impact factor: 4.507

5.  Effects of abaloparatide on bone mineral density and risk of fracture in postmenopausal women aged 80 years or older with osteoporosis.

Authors:  Michael R McClung; Nicholas C Harvey; Lorraine A Fitzpatrick; Paul D Miller; Gary Hattersley; Yamei Wang; Felicia Cosman
Journal:  Menopause       Date:  2018-07       Impact factor: 2.953

6.  Population-based study of age- and sex-related differences in muscle density and size in thoracic and lumbar spine: the Framingham study.

Authors:  F Johannesdottir; B Allaire; D E Anderson; E J Samelson; D P Kiel; M L Bouxsein
Journal:  Osteoporos Int       Date:  2018-03-22       Impact factor: 4.507

Review 7.  Vertebral Fracture Identification as Part of a Comprehensive Risk Assessment in Patients with Osteoporosis.

Authors:  John T Schousboe
Journal:  Curr Osteoporos Rep       Date:  2018-10       Impact factor: 5.096

8.  Heterogeneity and Spatial Distribution of Intravertebral Trabecular Bone Mineral Density in the Lumbar Spine Is Associated With Prevalent Vertebral Fracture.

Authors:  Jarred Kaiser; Brett Allaire; Paul M Fein; Darlene Lu; Alexander Adams; Douglas P Kiel; Mohamed Jarraya; Ali Guermazi; Serkalem Demissie; Elizabeth J Samelson; Mary L Bouxsein; Elise F Morgan
Journal:  J Bone Miner Res       Date:  2020-01-16       Impact factor: 6.741

9.  Prediction of incident vertebral fracture using CT-based finite element analysis.

Authors:  B T Allaire; D Lu; F Johannesdottir; D Kopperdahl; T M Keaveny; M Jarraya; A Guermazi; M A Bredella; E J Samelson; D P Kiel; D E Anderson; S Demissie; M L Bouxsein
Journal:  Osteoporos Int       Date:  2018-10-10       Impact factor: 4.507

Review 10.  Importance of Recent Fracture as Predictor of Imminent Fracture Risk.

Authors:  Amanda D Schnell; Jeffrey R Curtis; Kenneth G Saag
Journal:  Curr Osteoporos Rep       Date:  2018-12       Impact factor: 5.096

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