Literature DB >> 21769663

Development and validation of a tool for identifying women with low bone mineral density and low-impact fractures: the São Paulo Osteoporosis Risk Index (SAPORI).

M M Pinheiro1, E T Reis Neto, F S Machado, F Omura, J Szejnfeld, V L Szejnfeld.   

Abstract

UNLABELLED: The performance of the São Paulo Osteoporosis Risk Index (SAPORI) was tested in 1,915 women from the original cohort, São Paulo Osteoporosis Study (SAPOS) (N = 4332). This new tool was able to identify women with low bone density (spine and hip) and low-impact fracture, with an area under the receiving operator curve (ROC) of 0.831, 0.724, and 0.689, respectively.
INTRODUCTION: A number of studies have demonstrated the clinical relevance of risk factors for identifying individuals at risk of fracture (Fx) and osteoporosis (OP). The SAPOS is an epidemiological study for the assessment of risk factors for Fx and low bone density in women from the community of the metropolitan area of São Paulo, Brazil. The aim of the present study was to develop and validate a tool for identifying women at higher risk for OP and low-impact Fx.
METHODS: A total of 4,332 pre-, peri-, and postmenopausal women were analyzed through a questionnaire addressing risk factors for OP and Fx. All of them performed bone densitometry at the lumbar spine and proximal femur (DPX NT, GE-Lunar). Following the identification of the main risk factors for OP and Fx through multivariate and logistic regression, respectively, the SAPORI was designed and subsequently validated on a second cohort of 1,915 women from the metropolitan community of São Paulo. The performance of this tool was assessed through ROC analysis.
RESULTS: The main and significant risk factors associated with low bone density and low-impact Fx were low body weight, advanced age, Caucasian ethnicity, family history of hip Fx, current smoking, and chronic use of glucocorticosteroids. Hormonal replacement therapy and regular physical activity in the previous year played a protective role (p < 0.05). After the statistical adjustments, the SAPORI was able to identify women with low bone density (T-score ≤ -2 standard deviations) in the femur, with 91.4% sensitivity, 52% specificity, and an area under the ROC of 0.831 (p < 0.001). At the lumbar spine, the performance was similar (81.5% sensitivity, 50% specificity, and area under ROC of 0.724; p < 0.001). Regarding the identification of low-impact Fx, the sensitivity was 71%, the specificity was 52%, and the area under the ROC was 0.689 (p < 0.001).
CONCLUSION: The SAPORI is a simple, useful, fast, practice, and valid tool for identifying women at higher risk for low bone density and osteoporotic fractures.

Entities:  

Mesh:

Year:  2011        PMID: 21769663     DOI: 10.1007/s00198-011-1722-y

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


  38 in total

1.  Ten-year prediction of osteoporosis from baseline bone mineral density: development of prognostic thresholds in healthy postmenopausal women. The Danish Osteoporosis Prevention Study.

Authors:  Bo Abrahamsen; Lars Rejnmark; Stig Pors Nielsen; Bo Rud; Nis Nissen; Leif Mosekilde; Olaf Bärenholdt; Jens-Erik Beck Jensen
Journal:  Osteoporos Int       Date:  2005-09-10       Impact factor: 4.507

2.  In elderly women weight is the best predictor of a very low bone mineral density: evidence from the EPIDOS study.

Authors:  P Dargent-Molina; F Poitiers; G Bréart
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

3.  An assessment tool for predicting fracture risk in postmenopausal women.

Authors:  D M Black; M Steinbuch; L Palermo; P Dargent-Molina; R Lindsay; M S Hoseyni; O Johnell
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

4.  Fracture Risk (FRISK) Score: Geelong Osteoporosis Study.

Authors:  Margaret Joy Henry; Julie Anne Pasco; Kerrie Margaret Sanders; Geoffrey Charles Nicholson; Mark Anthony Kotowicz
Journal:  Radiology       Date:  2006-08-23       Impact factor: 11.105

5.  Limited utility of clinical indices for the prediction of symptomatic fracture risk in postmenopausal women.

Authors:  Tuan V Nguyen; Jacqueline R Center; Nicholas A Pocock; John A Eisman
Journal:  Osteoporos Int       Date:  2003-10-30       Impact factor: 4.507

6.  Vitamin D insufficiency: a risk factor to vertebral fractures in community-dwelling elderly women.

Authors:  Jaqueline B Lopes; Camille F Danilevicius; Liliam Takayama; Valeria F Caparbo; Márcia Scazufca; Eloisa Bonfá; Rosa M R Pereira
Journal:  Maturitas       Date:  2009-10-17       Impact factor: 4.342

7.  Prevalence of self-reported diagnosis of osteoporosis in Brazil, 2006.

Authors:  Lígia Araujo Martini; Erly Catarina de Moura; Luana Caroline dos Santos; Deborah Carvalho Malta; Marcelo de Medeiros Pinheiro
Journal:  Rev Saude Publica       Date:  2009-11       Impact factor: 2.106

8.  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

9.  The prevalence of radiographic vertebral fractures in Latin American countries: the Latin American Vertebral Osteoporosis Study (LAVOS).

Authors:  P Clark; F Cons-Molina; M Deleze; S Ragi; L Haddock; J R Zanchetta; J J Jaller; L Palermo; J O Talavera; D O Messina; J Morales-Torres; J Salmeron; A Navarrete; E Suarez; C M Pérez; S R Cummings
Journal:  Osteoporos Int       Date:  2008-06-26       Impact factor: 4.507

10.  Development and validation of the osteoporosis prescreening risk assessment (OPERA) tool to facilitate identification of women likely to have low bone density.

Authors:  Fausto Salaffi; Ferdinando Silveri; Andrea Stancati; Walter Grassi
Journal:  Clin Rheumatol       Date:  2004-11-12       Impact factor: 2.980

View more
  5 in total

1.  Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka.

Authors:  Hewa Walpola Amila Sewwandi Subasinghe; Sarath Lekamwasam; Patrick Ball; Hana Morrissey; Eisha Waidyaratne
Journal:  Osteoporos Sarcopenia       Date:  2020-09-16

Review 2.  The epidemiology and management of postmenopausal osteoporosis: a viewpoint from Brazil.

Authors:  Luiz Francisco Baccaro; Délio Marques Conde; Lúcia Costa-Paiva; Aarão Mendes Pinto-Neto
Journal:  Clin Interv Aging       Date:  2015-03-20       Impact factor: 4.458

3.  Development and validation of osteoporosis prescreening model for Iranian postmenopausal women.

Authors:  Nassim Matin; Omidreza Tabatabaie; Abbasali Keshtkar; Kamran Yazdani; Mojgan Asadi
Journal:  J Diabetes Metab Disord       Date:  2015-03-17

4.  PROFILE OF PATIENTS WITH OSTEOPOROTIC FRACTURES AT A TERTIARY ORTHOPEDIC TRAUMA CENTER.

Authors:  Michael Minsu Shu; Andre Langes Canhos; Guilherme Pereira Ocampos; Perola Grimberg Plapler; Olavo Pires Camargo; Marcia Uchoa DE Rezende
Journal:  Acta Ortop Bras       Date:  2018 Mar-Apr       Impact factor: 0.513

5.  PROFILE OF PATIENTS WITH OSTEOPOROTIC FRACTURES AND FACTORS THAT DECREASE PREVENTION.

Authors:  Renato Martins Xavier; Ivan Carvalho Giarola; Guilherme Pereira Ocampos; Pérola Grinberg Plapler; Olavo Pires de Camargo; Márcia Uchôa de Rezende
Journal:  Acta Ortop Bras       Date:  2019 Mar-Apr       Impact factor: 0.513

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.