Literature DB >> 12429540

Clinical decision rules in rheumatoid arthritis: do they identify patients at high risk for osteoporosis? Testing clinical criteria in a population based cohort of patients with rheumatoid arthritis recruited from the Oslo Rheumatoid Arthritis Register.

G Haugeberg1, R E Ørstavik, T Uhlig, J A Falch, J I Halse, T K Kvien.   

Abstract

BACKGROUND: Preliminary clinical criteria based on age, inflammation, and immobility have been proposed to identify which patients with rheumatoid arthritis (RA) should be examined by dual energy x ray absorptiometry (DXA) to diagnose osteoporosis. The three item criteria have not been evaluated in male patients with RA or in the entire female RA population.
OBJECTIVES: (1) To test the proposed criteria in a cohort of men and women thought to be representative of the entire underlying RA population. (2) To develop clinical decision rules, which could be applied to all patients with RA irrespective of corticosteroid use.
METHODS: Clinical and demographic data were collected from a total of 287 representative patients with RA (235 (82%) women, 52 (18%) men, age range 25.3-73.1 years) from the Oslo RA register (completeness 85%). Bone mineral density (BMD) was measured in spine L2-4 (anterior-posterior view) and femoral neck by DXA. The criteria were applied and sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.
RESULTS: Mean age (SD) for the women and men with RA was 56.8 (11.0) years and 61.5 (10.2) years; disease duration was 15.5 (9.5) years and 14.7 (8.6) years. Of the women 163 (69%) were postmenopausal. One hundred and seventeen (50%) women and 28 (54%) men fulfilled the three item criteria. For the diagnosis of osteoporosis (T score <or=-2.5) using the original three item criteria sensitivity in women and men was 74% and 67%, specificity 57% and 50%, PPV 32% and 29% and NPV 89% and 83%, and including weight and ever use of corticosteroids in a five item criteria sensitivity increased to 82% and 83%, specificity decreased to 45% and 45%, PPV was 29% and 31%, and NPV was 90% and 90% respectively.
CONCLUSION: The novel five item criteria (age, weight, inflammation, immobility, and ever use of corticosteroids) are a more accurate tool to identify patients with RA and osteoporosis than the original three item criteria (age, inflammation, and immobility). The clinical decision rules have an acceptable sensitivity and provide a practical tool for the doctor to identify patients with RA who should have a DXA measurement performed.

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Year:  2002        PMID: 12429540      PMCID: PMC1753963          DOI: 10.1136/ard.61.12.1085

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  23 in total

1.  Bone density of the spine and femur in adult white females.

Authors:  R B Mazess; H Barden
Journal:  Calcif Tissue Int       Date:  1999-08       Impact factor: 4.333

2.  Evaluation of decision rules for referring women for bone densitometry by dual-energy x-ray absorptiometry.

Authors:  S M Cadarette; S B Jaglal; T M Murray; W J McIsaac; L Joseph; J P Brown
Journal:  JAMA       Date:  2001-07-04       Impact factor: 56.272

3.  Change in bone mineral density in patients with rheumatoid arthritis during the first decade of the disease.

Authors:  E J Kroot; M G Nieuwenhuizen; M C de Waal Malefijt; P L van Riel; P C Pasker-de Jong; R F Laan
Journal:  Arthritis Rheum       Date:  2001-06

4.  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

5.  Osteoporosis with low dose corticosteroids: contribution of underlying disease effects and discriminatory ability of ultrasound versus bone densitometry.

Authors:  P Sambrook; A Raj; D Hunter; V Naganathan; R Mason; B Robinson
Journal:  J Rheumatol       Date:  2001-05       Impact factor: 4.666

6.  Value of clinical factors in selecting postmenopausal women with rheumatoid arthritis for bone densitometry.

Authors:  J M Nolla; J Fiter; C Gómez-Vaquero; J J Alegre; J Valverde; D Roig-Escofet
Journal:  Ann Rheum Dis       Date:  2001-08       Impact factor: 19.103

7.  Reduced bone mineral density in male rheumatoid arthritis patients: frequencies and associations with demographic and disease variables in ninety-four patients in the Oslo County Rheumatoid Arthritis Register.

Authors:  G Haugeberg; T Uhlig; J A Falch; J I Halse; T K Kvien
Journal:  Arthritis Rheum       Date:  2000-12

8.  Development and validation of the Osteoporosis Risk Assessment Instrument to facilitate selection of women for bone densitometry.

Authors:  S M Cadarette; S B Jaglal; N Kreiger; W J McIsaac; G A Darlington; J V Tu
Journal:  CMAJ       Date:  2000-05-02       Impact factor: 8.262

9.  Bone mineral density and frequency of osteoporosis in female patients with rheumatoid arthritis: results from 394 patients in the Oslo County Rheumatoid Arthritis register.

Authors:  G Haugeberg; T Uhlig; J A Falch; J I Halse; T K Kvien
Journal:  Arthritis Rheum       Date:  2000-03

10.  Data driven attempt to create a clinical algorithm for identification of women with rheumatoid arthritis at high risk of osteoporosis.

Authors:  T K Kvien; G Haugeberg; T Uhlig; J A Falch; J I Halse; W F Lems; B A Dijkmans; A D Woolf
Journal:  Ann Rheum Dis       Date:  2000-10       Impact factor: 19.103

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  11 in total

Review 1.  Systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for osteoporosis or low bone density.

Authors:  S Nayak; D L Edwards; A A Saleh; S L Greenspan
Journal:  Osteoporos Int       Date:  2015-02-03       Impact factor: 4.507

2.  Strategies for the prevention and treatment of osteoporosis in patients with rheumatoid arthritis.

Authors:  Kristine Phillips; Antonios Aliprantis; Jonathan Coblyn
Journal:  Drugs Aging       Date:  2006       Impact factor: 3.923

3.  Combination therapy with dexamethasone and osteoprotegerin protects against arthritis-induced bone alterations in antigen-induced arthritis of the rat.

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5.  Significance of risk factors for osteoporosis is dependent on gender and menopause in rheumatoid arthritis.

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6.  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

Review 7.  Osteoimmunology and osteoporosis.

Authors:  Piet Geusens; Willem F Lems
Journal:  Arthritis Res Ther       Date:  2011-09-30       Impact factor: 5.156

Review 8.  The Effect of Inflammation on Bone.

Authors:  Scott Epsley; Samuel Tadros; Alexander Farid; Daniel Kargilis; Sameer Mehta; Chamith S Rajapakse
Journal:  Front Physiol       Date:  2021-01-05       Impact factor: 4.566

9.  The utility of clinical decision tools for diagnosing osteoporosis in postmenopausal women with rheumatoid arthritis.

Authors:  Caroline Brand; Adrian Lowe; Stephen Hall
Journal:  BMC Musculoskelet Disord       Date:  2008-01-29       Impact factor: 2.362

10.  Male patients with rheumatoid arthritis have an increased risk of osteoporosis: Frequency and risk factors.

Authors:  Seong-Min Kweon; Dong Hyun Sohn; Ji-Heh Park; Jung Hee Koh; Eun-Kyoung Park; Han-Na Lee; Keunyoung Kim; Yunkyung Kim; Geun-Tae Kim; Seung-Geun Lee
Journal:  Medicine (Baltimore)       Date:  2018-06       Impact factor: 1.889

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