Literature DB >> 22895583

A simple score for estimating the long-term risk of fracture in patients with multiple sclerosis.

Marloes T Bazelier1, Tjeerd-Pieter van Staa, Bernard M J Uitdehaag, Cyrus Cooper, Hubert G M Leufkens, Peter Vestergaard, Joan Bentzen, Frank de Vries.   

Abstract

OBJECTIVE: To derive a simple score for estimating the long-term risk of osteoporotic and hip fracture in individual patients with MS.
METHODS: Using the UK General Practice Research Database linked to the National Hospital Registry (1997-2008), we identified patients with incident MS (n = 5,494). They were matched 1:6 by year of birth, sex, and practice with patients without MS (control subjects). Cox proportional hazards models were used to calculate the long-term risk of osteoporotic and hip fracture. We fitted the regression model with general and specific risk factors, and the final Cox model was converted into integer risk scores.
RESULTS: In comparison with the FRAX calculator, our risk score contains several new risk factors that have been linked with fracture, which include MS, use of antidepressants, use of anticonvulsants, history of falling, and history of fatigue. We estimated the 5- and 10-year risks of osteoporotic and hip fracture in relation to the risk score. The C-statistic was moderate (0.67) for the prediction of osteoporotic fracture and excellent (0.89) for the prediction of hip fracture.
CONCLUSION: This is the first clinical risk score for fracture risk estimation involving MS as a risk factor.

Entities:  

Mesh:

Year:  2012        PMID: 22895583      PMCID: PMC3425841          DOI: 10.1212/WNL.0b013e318266faae

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  27 in total

1.  The UK General Practice Research Database.

Authors:  T Walley; A Mantgani
Journal:  Lancet       Date:  1997-10-11       Impact factor: 79.321

2.  Risk factors for falling among people aged 45 to 90 years with multiple sclerosis.

Authors:  Marcia L Finlayson; Elizabeth W Peterson; Chi C Cho
Journal:  Arch Phys Med Rehabil       Date:  2006-09       Impact factor: 3.966

3.  Osteocyte apoptosis is induced by weightlessness in mice and precedes osteoclast recruitment and bone loss.

Authors:  J Ignacio Aguirre; Lilian I Plotkin; Scott A Stewart; Robert S Weinstein; A Michael Parfitt; Stavros C Manolagas; Teresita Bellido
Journal:  J Bone Miner Res       Date:  2006-04-05       Impact factor: 6.741

4.  Vitamin D deficiency and reduced bone mineral density in multiple sclerosis: effect of ambulatory status and functional capacity.

Authors:  Salih Ozgocmen; Serpil Bulut; Nevin Ilhan; Arif Gulkesen; Ozge Ardicoglu; Yusuf Ozkan
Journal:  J Bone Miner Metab       Date:  2005       Impact factor: 2.626

5.  Bone status in multiple sclerosis: beyond corticosteroids.

Authors:  Sansin Tüzün; Ayşe Altintaş; Ilhan Karacan; Saliha Tangürek; Sebahattin Saip; Aksel Siva
Journal:  Mult Scler       Date:  2003-12       Impact factor: 6.312

6.  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

7.  Immediate fall of bone formation and transient increase of bone resorption in the course of high-dose, short-term glucocorticoid therapy in young patients with multiple sclerosis.

Authors:  Andrea Dovio; Laura Perazzolo; Giangiacomo Osella; Massimo Ventura; Angela Termine; Eva Milano; Antonio Bertolotto; Alberto Angeli
Journal:  J Clin Endocrinol Metab       Date:  2004-10       Impact factor: 5.958

8.  Injurious falls among middle aged and older adults with multiple sclerosis.

Authors:  Elizabeth W Peterson; Chi C Cho; Lena von Koch; Marcia L Finlayson
Journal:  Arch Phys Med Rehabil       Date:  2008-06       Impact factor: 3.966

9.  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

10.  The use of a large pharmacoepidemiological database to study exposure to oral corticosteroids and risk of fractures: validation of study population and results.

Authors:  T P Van Staa; L Abenhaim; C Cooper; B Zhang; H G Leufkens
Journal:  Pharmacoepidemiol Drug Saf       Date:  2000-09       Impact factor: 2.890

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  5 in total

Review 1.  Risk Factors, Epidemiology and Treatment Strategies for Metabolic Bone Disease in Patients with Neurological Disease.

Authors:  S Binks; R Dobson
Journal:  Curr Osteoporos Rep       Date:  2016-10       Impact factor: 5.096

Review 2.  Osteoporosis and multiple sclerosis: risk factors, pathophysiology, and therapeutic interventions.

Authors:  Sahil Gupta; Irfan Ahsan; Naeem Mahfooz; Noureldin Abdelhamid; Murali Ramanathan; Bianca Weinstock-Guttman
Journal:  CNS Drugs       Date:  2014-08       Impact factor: 5.749

3.  The Impact of the Choice of Data Source in Record Linkage Studies Estimating Mortality in Venous Thromboembolism.

Authors:  Arlene M Gallagher; Tim Williams; Hubert G M Leufkens; Frank de Vries
Journal:  PLoS One       Date:  2016-02-10       Impact factor: 3.240

4.  Multiple sclerosis is associated with low bone mineral density and osteoporosis.

Authors:  Etienne J Bisson; Marcia L Finlayson; Okechukwu Ekuma; William D Leslie; Ruth Ann Marrie
Journal:  Neurol Clin Pract       Date:  2019-10

5.  Assessing fracture risk in people with MS: a service development study comparing three fracture risk scoring systems.

Authors:  Ruth Dobson; Sara Geraldine Leddy; Sunay Gangadharan; Gavin Giovannoni
Journal:  BMJ Open       Date:  2013-03-11       Impact factor: 2.692

  5 in total

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