Literature DB >> 22096224

Prediction of incident hip fracture by femoral neck bone mineral density and neck-shaft angle: a 5-year longitudinal study in post-menopausal females.

S Gnudi1, E Sitta, E Pignotti.   

Abstract

OBJECTIVE: To compare hip fracture incidence in post-menopausal females who were differently stratified for the fracture risk according to bone mineral density and proximal femur geometry.
METHODS: In a 5 year follow-up study, the hip fracture incidence in 729 post-menopausal females (45 of whom suffered from incident hip fracture) was assessed and compared. Forward logistic regression was used to select independent predictors of hip fracture risk, including age, age at menopause, height, weight, femoral neck bone mineral density (FNBMD), neck-shaft angle (NSA), hip axis length, femoral neck diameter and femoral shaft diameter as covariates. Fracture incidence was then calculated for the categories of young/old age, high/low FNBMD and wide/narrow NSA, which were obtained by dichotomising each hip fracture independent predictor at the value best separating females with and without a hip fracture.
RESULTS: The hip fracture incidence of the whole cohort was significantly higher in females with a wide NSA (8.52%) than in those with a narrow NSA (3.51%). The combination of wide NSA and low FNBMD had the highest hip fracture incidence in the whole cohort (17.61%) and each age category. The combinations of narrow/wide NSA with low/high FNBMD, respectively, gave a significantly higher fracture incidence in older than in younger women, whereas women with a combined wide NSA and low FNBMD had no significantly different fracture incidence in young (14.60%) or old age (21.62%).
CONCLUSION: Our study showed that NSA is effective at predicting the hip fracture risk and that the detection in early post-menopause of a wide NSA together with a low FNBMD should identify females at high probability of incident hip fracture.

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Mesh:

Year:  2011        PMID: 22096224      PMCID: PMC3587077          DOI: 10.1259/bjr/57130600

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  39 in total

1.  Risk factors for falls as a cause of hip fracture in women. The Northeast Hip Fracture Study Group.

Authors:  J A Grisso; J L Kelsey; B L Strom; G Y Chiu; G Maislin; L A O'Brien; S Hoffman; F Kaplan
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2.  Magnification error of femoral geometry using fan beam densitometers.

Authors:  N A Pocock; K A Noakes; Y Majerovic; M R Griffiths
Journal:  Calcif Tissue Int       Date:  1997-01       Impact factor: 4.333

3.  Different morphometric and densitometric parameters predict cervical and trochanteric hip fracture: the EPIDOS Study.

Authors:  F Duboeuf; D Hans; A M Schott; P O Kotzki; F Favier; C Marcelli; P J Meunier; P D Delmas
Journal:  J Bone Miner Res       Date:  1997-11       Impact factor: 6.741

4.  Predicting femoral neck strength from bone mineral data. A structural approach.

Authors:  T J Beck; C B Ruff; K E Warden; W W Scott; G U Rao
Journal:  Invest Radiol       Date:  1990-01       Impact factor: 6.016

5.  Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group.

Authors:  S R Cummings; D M Black; M C Nevitt; W Browner; J Cauley; K Ensrud; H K Genant; L Palermo; J Scott; T M Vogt
Journal:  Lancet       Date:  1993-01-09       Impact factor: 79.321

6.  Femoral neck axis length, height loss and risk of hip fracture in males and females.

Authors:  J R Center; T V Nguyen; N A Pocock; K A Noakes; P J Kelly; J A Eisman; P N Sambrook
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

7.  Simple measurement of femoral geometry predicts hip fracture: the study of osteoporotic fractures.

Authors:  K G Faulkner; S R Cummings; D Black; L Palermo; C C Glüer; H K Genant
Journal:  J Bone Miner Res       Date:  1993-10       Impact factor: 6.741

8.  Volumetric bone density at the femoral neck as a common measure of hip fracture risk for men and women.

Authors:  Jacqueline R Center; Tuan V Nguyen; Nick A Pocock; John A Eisman
Journal:  J Clin Endocrinol Metab       Date:  2004-06       Impact factor: 5.958

9.  Measurement of femoral geometry in type I and type II osteoporosis: differences in hip axis length consistent with heterogeneity in the pathogenesis of osteoporotic fractures.

Authors:  S Boonen; R Koutri; J Dequeker; J Aerssens; G Lowet; J Nijs; G Verbeke; E Lesaffre; P Geusens
Journal:  J Bone Miner Res       Date:  1995-12       Impact factor: 6.741

10.  Age and bone mass as predictors of fracture in a prospective study.

Authors:  S L Hui; C W Slemenda; C C Johnston
Journal:  J Clin Invest       Date:  1988-06       Impact factor: 14.808

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  15 in total

Review 1.  The femoral neck-shaft angle on plain radiographs: a systematic review.

Authors:  Christoph Kolja Boese; Jens Dargel; Johannes Oppermann; Peer Eysel; Max Joseph Scheyerer; Jan Bredow; Philipp Lechler
Journal:  Skeletal Radiol       Date:  2015-08-25       Impact factor: 2.199

2.  The neck shaft angle: CT reference values of 800 adult hips.

Authors:  Christoph Kolja Boese; Janine Jostmeier; Johannes Oppermann; Jens Dargel; De-Hua Chang; Peer Eysel; Philipp Lechler
Journal:  Skeletal Radiol       Date:  2015-12-23       Impact factor: 2.199

Review 3.  Fragility fractures of the proximal femur: review and update for radiologists.

Authors:  Kimia Khalatbari Kani; Jack A Porrino; Hyojeong Mulcahy; Felix S Chew
Journal:  Skeletal Radiol       Date:  2018-06-29       Impact factor: 2.199

4.  Bone mineral density distribution in the proximal femur and its relationship to morphologic factors in progressed unilateral hip osteoarthritis.

Authors:  Naomi Kobayashi; Yutaka Inaba; Yohei Yukizawa; Shu Takagawa; Hiroyuki Ike; So Kubota; Takuma Naka; Tomoyuki Saito
Journal:  J Bone Miner Metab       Date:  2014-12-03       Impact factor: 2.626

5.  Influence of bone lesion location on femoral bone strength assessed by MRI-based finite-element modeling.

Authors:  Chamith S Rajapakse; Nishtha Gupta; Marissa Evans; Hamza Alizai; Malika Shukurova; Abigail L Hong; Nicholas J Cruickshank; Nirmal Tejwani; Kenneth Egol; Stephen Honig; Gregory Chang
Journal:  Bone       Date:  2019-03-07       Impact factor: 4.398

6.  CT based measurement of anatomical dimensions of femur and its relevance in nail designs for proximal femoral fractures.

Authors:  Mahesh Kulkarni; Monappa Naik A; Chethan B Shetty; Samir M Paruthikunnan; Sharath K Rao
Journal:  J Orthop       Date:  2019-12-10

7.  Femoral version, neck-shaft angle, and acetabular anteversion in Chinese Han population: a retrospective analysis of 466 healthy adults.

Authors:  Nan Jiang; Lin Peng; Mohammed Al-Qwbani; Guo-Ping Xie; Qin-Meng Yang; Yu Chai; Qing Zhang; Bin Yu
Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

8.  Advanced 2D image processing technique to predict hip fracture risk in an older population based on single DXA scans.

Authors:  F Jazinizadeh; J D Adachi; C E Quenneville
Journal:  Osteoporos Int       Date:  2020-05-15       Impact factor: 4.507

9.  Type 1 diabetes patients have lower strength in femoral bone determined by quantitative computed tomography: A cross-sectional study.

Authors:  Koji Ishikawa; Tomoyasu Fukui; Takashi Nagai; Takuma Kuroda; Noriko Hara; Takeshi Yamamoto; Katsunori Inagaki; Tsutomu Hirano
Journal:  J Diabetes Investig       Date:  2015-06-23       Impact factor: 4.232

10.  Proximal Femoral Geometry as Fracture Risk Factor in Female Patients with Osteoporotic Hip Fracture.

Authors:  Jun Han; Myung Hoon Hahn
Journal:  J Bone Metab       Date:  2016-08-31
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