Literature DB >> 26168766

High fracture probability predicts fractures in a 4-year follow-up in women from the RAC-OST-POL study.

W Pluskiewicz1, P Adamczyk2, A Czekajło3, W Grzeszczak4, B Drozdzowska5.   

Abstract

UNLABELLED: In 770 postmenopausal women, the fracture incidence during a 4-year follow-up was analyzed in relation to the fracture probability (FRAX risk assessment tool) and risk (Garvan risk calculator) predicted at baseline. Incident fractures occurred in 62 subjects with a higher prevalence in high-risk subgroups. Prior fracture, rheumatoid arthritis, femoral neck T-score and falls increased independent of fracture incidence.
INTRODUCTION: The aim of the study was to analyze the incidence of fractures during a 4-year follow-up in relation to the baseline fracture probability and risk.
METHODS: Enrolled in the study were 770 postmenopausal women with a mean age of 65.7 ± 7.3 years. Bone mineral density (BMD) at the proximal femur, clinical data, and fracture probability using the FRAX tool and risk using the Garvan calculator were determined. Each subject was asked yearly by phone call about the incidence of fracture during the follow-up period.
RESULTS: Of the 770 women, 62 had a fracture during follow-up, and 46 had a major fracture. At baseline, BMD was significantly lower, and fracture probability and fracture risk were significantly higher in women who had a fracture. Among women with a major fracture, the percentage with a high baseline fracture probability (>10 %) was significantly higher than among those without a fracture (p < 0.01). Fracture incidence during follow-up was significantly higher among women with a high baseline fracture probability (12.7 % vs. 5.2 %) and a high fracture risk (9.2 vs. 5.3 %) so that the "fracture-free survival" curves were significantly different (p < 0.05). The number of clinical risk factors noted at baseline was significantly associated with fracture incidence (chi-squared = 20.82, p < 0.01). Prior fracture, rheumatoid arthritis, and femoral neck T-score were identified as significant risk factors for major fractures (for any fractures, the influence of falls was also significant).
CONCLUSIONS: During follow-up, fracture incidence was predicted by baseline fracture probability (FRAX risk assessment tool) and risk (Garvan risk calculator). A number of clinical risk factors and a prior fracture, rheumatoid arthritis, femoral neck T-score, and falls were independently associated with an increased incidence of fractures. [Corrected]

Entities:  

Keywords:  Follow-up; Fracture; Fracture probability; Fracture risk; Women

Mesh:

Year:  2015        PMID: 26168766     DOI: 10.1007/s00198-015-3196-9

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


  22 in total

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2.  Fracture prediction and calibration of a Canadian FRAX® tool: a population-based report from CaMos.

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Journal:  Osteoporos Int       Date:  2010-12-16       Impact factor: 4.507

3.  FRAX and the assessment of fracture probability in men and women from the UK.

Authors:  J A Kanis; O Johnell; A Oden; H Johansson; E McCloskey
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

4.  Calcium intake and osteoporosis: the influence of calcium intake from dairy products on hip bone mineral density and fracture incidence - a population-based study in women over 55 years of age.

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5.  Direct comparison of eight national FRAX® tools for fracture prediction and treatment qualification in Canadian women.

Authors:  W D Leslie; S L Brennan; L M Lix; H Johansson; A Oden; E McCloskey; J A Kanis
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6.  Influence of education, marital status, occupation, and the place of living on skeletal status, fracture prevalence, and the course and effectiveness of osteoporotic therapy in women in the RAC-OST-POL Study.

Authors:  Wojciech Pluskiewicz; Piotr Adamczyk; Aleksandra Czekajło; Władysław Grzeszczak; Bogna Drozdzowska
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7.  Functional status and prevalence of falls and fractures in population-based sample of postmenopausal women from the RAC-OST-POL Study.

Authors:  B Drozdzowska; K Wiktor; W Pluskiewicz
Journal:  Int J Clin Pract       Date:  2013-07       Impact factor: 2.503

8.  Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks.

Authors:  N D Nguyen; S A Frost; J R Center; J A Eisman; T V Nguyen
Journal:  Osteoporos Int       Date:  2008-03-07       Impact factor: 4.507

9.  Relationship between visual status and functional status and the risk of falls in women. The RAC-OST-POL study.

Authors:  Wojciech Rokicki; Bogna Drozdzowska; Aleksandra Czekajło; Władysław Grzeszczak; Katarzyna Wiktor; Wojciech Majewski; Wojciech Pluskiewicz
Journal:  Arch Med Sci       Date:  2016-10-24       Impact factor: 3.318

10.  FRAX® tool, the WHO algorithm to predict osteoporotic fractures: the first analysis of its discriminative and predictive ability in the Spanish FRIDEX cohort.

Authors:  Rafael Azagra; Genís Roca; Gloria Encabo; Amada Aguyé; Marta Zwart; Sílvia Güell; Núria Puchol; Emili Gene; Enrique Casado; Pilar Sancho; Silvia Solà; Pere Torán; Milagros Iglesias; Maria Carmen Gisbert; Francesc López-Expósito; Jesús Pujol-Salud; Yolanda Fernandez-Hermida; Ana Puente; Mireia Rosàs; Vicente Bou; Juan José Antón; Gustavo Lansdberg; Juan Carlos Martín-Sánchez; Adolf Díez-Pérez; Daniel Prieto-Alhambra
Journal:  BMC Musculoskelet Disord       Date:  2012-10-22       Impact factor: 2.362

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  1 in total

1.  Relationship between the FRAX® score and falls in community-dwelling middle-aged and elderly people.

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Journal:  Osteoporos Sarcopenia       Date:  2016-12-10
  1 in total

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