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1.
Rheumatol Adv Pract ; 7(3): rkad091, 2023.
Article in English | MEDLINE | ID: mdl-38025094

ABSTRACT

Objectives: RA is a chronic disabling disease affecting 0.5-1% of adults worldwide. People with RA have a greater prevalence of multimorbidity, particularly osteoporosis and associated fractures. Recent studies suggest that fracture risk is related to both non-RA and RA factors, whose importance is heterogeneous across studies. This study seeks to compare baseline demographic and DXA data across three cohorts: healthy controls, RA patients and a non-RA cohort with major risk factors and/or prior major osteoporotic fracture (MOF). Methods: This is a cross-sectional study using data collected from three DXA centres in the west of Ireland from January 2000 to November 2018. Results: Data were available for 30 503 subjects who met our inclusion criteria: 9539 (31.3%) healthy controls, 1797 (5.9%) with RA and 19 167 (62.8%) others. Although age, BMI and BMD were similar between healthy controls, the RA cohort and the other cohort, 289 (16.1%) RA patients and 5419 (28.3%) of the non-RA cohort had prior MOF. In the RA and non-RA cohorts, patients with previous MOF were significantly older and had significantly lower BMD at the femoral neck, total hip and spine. Conclusion: Although age, BMI and BMD were similar between a healthy control cohort and RA patients and others with major fracture risk factors, those with a previous MOF were older and had significantly lower BMD at all three measured skeletal sites. Further studies are needed to address the importance of these and other factors for identifying those RA patients most likely to experience fractures.

2.
Arch Osteoporos ; 18(1): 43, 2023 03 20.
Article in English | MEDLINE | ID: mdl-36939937

ABSTRACT

Appropriate use of FRAX reduces the number of people requiring DXA scans, while contemporaneously determining those most at risk. We compared the results of FRAX with and without inclusion of BMD. It suggests clinicians to carefully consider the importance of BMD inclusion in fracture risk estimation or interpretation in individual patients. PURPOSE: FRAX is a widely accepted tool to estimate the 10-year risk of hip and major osteoporotic fracture in adults. Prior calibration studies suggest this works similarly with or without the inclusion of bone mineral density (BMD). The purpose of the study is to compare within-subject differences between FRAX estimations derived using DXA and Web software with and without the inclusion of BMD. METHOD: A convenience cohort was used for this cross-sectional study, consisting of 1254 men and women aged between 40 and 90 years who had a DXA scan and complete validated data available for analysis. FRAX 10-year estimations for hip and major osteoporotic fracture were calculated using DXA software (DXA-FRAX) and the Web tool (Web-FRAX), with and without BMD. Agreements between estimates within each individual subject were examined using Bland-Altman plots. We performed exploratory analyses of the characteristics of those with very discordant results. RESULTS: Overall median DXA-FRAX and Web-FRAX 10-year hip and major osteoporotic fracture risk estimations which include BMD are very similar: 2.9% vs. 2.8% and 11.0% vs. 11% respectively. However, both are significantly lower than those obtained without BMD: 4.9% and 14% respectively, P < 0.001. Within-subject differences between hip fracture estimates with and without BMD were < 3% in 57% of cases, between 3 and 6% in 19% of cases, and > 6% in 24% of cases, while for major osteoporotic fractures such differences are < 10% in 82% of cases, between 10 and 20% in 15% of cases, and > 20% in 3% of cases. CONCLUSIONS: Although there is excellent agreement between the Web-FRAX and DXA-FRAX tools when BMD is incorporated, sometimes there are very large differences for individuals between results obtained with and without BMD. Clinicians should carefully consider the importance of BMD inclusion in FRAX estimations when assessing individual patients.


Subject(s)
Osteoporotic Fractures , Adult , Male , Humans , Female , Middle Aged , Aged , Aged, 80 and over , Absorptiometry, Photon , Osteoporotic Fractures/diagnostic imaging , Osteoporotic Fractures/epidemiology , Cross-Sectional Studies , Ireland , Risk Assessment/methods , Bone Density , Risk Factors
3.
Patient Educ Couns ; 59(2): 192-8, 2005 Nov.
Article in English | MEDLINE | ID: mdl-16257625

ABSTRACT

This study examined the extent to which perceived stress, social support, coping and clinical disease indicators predict physical, psychological and social adjustment in patients with rheumatoid arthritis (RA). Participants were 59 women recruited at an outpatient clinic at University College Hospital, Galway. A range of psychological measures was administered and disease status was assessed by physician ratings of joint involvement and blood assays of inflammatory indices. Findings from correlational and hierarchical regression analyses revealed a number of statistically significant relationships (p<.01). Perceived stress was a better predictor than disease severity of positive and negative emotionality. Coping explained variability on positive and negative affect. Social support was linked to level of social activity. Results demonstrated that disease status predicted illness related functioning but did not predict emotional or social adjustment. Results suggest that a cognitive behavioural intervention to facilitate patient adjustment could usefully include management of stress and its appraisal, the fostering of adaptive coping strategies and utilization of social support resources. It is concluded that improving patient adjustment to rheumatoid arthritis has implications for medical care seeking.


Subject(s)
Adaptation, Psychological , Arthritis, Rheumatoid/psychology , Attitude to Health , Health Status , Stress, Psychological/psychology , Activities of Daily Living , Affect , Arthritis, Rheumatoid/classification , Arthritis, Rheumatoid/complications , Arthritis, Rheumatoid/physiopathology , Cost of Illness , Factor Analysis, Statistical , Female , Hospitals, University , Humans , Ireland , Mental Health , Middle Aged , Predictive Value of Tests , Psychiatric Status Rating Scales , Quality of Life , Regression Analysis , Risk Factors , Severity of Illness Index , Social Support , Stress, Psychological/diagnosis , Stress, Psychological/etiology , Surveys and Questionnaires , Women's Health
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