Dataset Information

Tools for the Assessment of Comorbidity Burden in Rheumatoid Arthritis.

ABSTRACT: Introduction:Comorbidities influence the prognosis, clinical outcomes, disease activity, and treatment response in rheumatoid arthritis (RA). RA patients have a high-comorbidity burden necessitating their study. Comorbidity indices are used to measure comorbidities and to study their impacts on different outcomes. A large number of such indices are used in clinical research. Some indices have been specifically developed in RA patients. Aim:This review aims to provide an overview of generic and specific comorbidity indices commonly used in RA research. Methods:We performed a critical literature review of comorbidity indices in RA using the PubMed database. Results/discussion:This non-systematic literature review provides an overview of generic and specific comorbidity indices commonly used in RA studies. Some of the older but commonly used comorbidity indices like the Charlson comorbidity index and the Elixhauser comorbidity measure were primarily developed to estimate mortality risk from comorbid diseases. They were not specifically developed for RA patients but have been widely used in rheumatology comorbidity measurement. Of the many comorbidity indices available, only the rheumatic disease comorbidity index (RDCI) and the multimorbidity index have been specifically developed in RA patients. The functional comorbidity index was developed to look at functional disability and has been used in RA patients considering that morbidity is more important than mortality in such patients. While there is limited data comparing these indices, available evidence seems to favor the use of RDCI as it predicts mortality, hospitalization, disability, and healthcare utilization. The choice of the index, however, depends on several factors such as the population under study, outcome of interest, and sources of data. More research is needed to study the RA-specific comorbidity measures to make evidence-based recommendations for the choice of a comorbidity measure.

SUBMITTER: Aslam F

PROVIDER: S-EPMC5820312 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Tools for the Assessment of Comorbidity Burden in Rheumatoid Arthritis.

Aslam Fawad F Khan Nasim Ahmed NA

Frontiers in medicine 20180216

<h4>Introduction</h4>Comorbidities influence the prognosis, clinical outcomes, disease activity, and treatment response in rheumatoid arthritis (RA). RA patients have a high-comorbidity burden necessitating their study. Comorbidity indices are used to measure comorbidities and to study their impacts on different outcomes. A large number of such indices are used in clinical research. Some indices have been specifically developed in RA patients.<h4>Aim</h4>This review aims to provide an overview o ...[more]

PMID: 29503820

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Project description:ObjectiveTo evaluate the influence of lifestyle, reproduction, and some external factors on the development of rheumatoid arthritis (RA) and to describe its comorbidity.MethodsCases were identified retrospectively from 1980 to 1995 at the University Hospital in Linköping, Sweden. The study comprised 422 cases and 859 randomly selected population referents. Data on possible aetiological factors and comorbidity were collected by postal questionnaire.ResultsThe response rates were 67% among cases and 59% among referents. A decrease in the occurrence of atopic allergy was seen in the cases (odds ratio (OR) 0.6, 95% confidence interval (CI) 0.4 to 1.0). There was a positive association between RA and insulin treatment (OR 10.2, 95% CI 1.7 to 60.8) in women, and women with a short fertile period had an increased risk of RA (OR 2.5, 95% CI 1.1 to 5.4). Current and previous smoking were associated with increased risks for RA in both sexes, and in men a dose-response relationship was found with number of tobacco pack years (p for trend <0.005). The risk for RA decreased with increasing level of education in both men and women. Increased risks were seen in men born into households with private wells (OR 2.8, 95% CI 1.5 to 5.2), residentially exposed to mould (OR 4.6, 95% CI 1.1 to 20.2), or exposed to farm animals (OR 3.3, 95% CI 0.7 to 16.6). In women there were positive associations between RA and reporting a previous joint injury (OR 2.5, 95% CI 1.0 to 6.6) and prolonged exposure to hair dyes (OR 1.9, 95% CI 0.8 to 4.5).ConclusionsRA, a disease with features of T helper 1 (Th1) dominated immune response, was inversely associated with atopic allergy, a Th2 dominated condition, while there were indications of a strong positive association with Th1 related diabetes mellitus. The results support a causal relationship between smoking and RA. The level of education was inversely associated with RA, while there was a positive association between RA and certain residential factors in men and a short fertile period in women.

Project description:ObjectiveThe main objective of this study was to compare disease burden in rheumatoid arthritis (RA), psoriatic arthritis (PsA) and axial spondyloarthritis (ax-SpA).MethodsIn this cross-sectional study, all the RA (1093), PsA (365) and ax-SpA (333) patients who visited the out-patient clinic of the Hospital of Southern Norway Trust during the year 2013 were included; the RA patients all had a RA diagnosis verified by the treating rheumatologist, the PsA patients all fulfilled the ClASsification for Psoriatic ARthritis (CASPAR) criteria and the ax-SpA patients all fulfilled the Assessment of SpondyloArthritis international Society (ASAS) classification criteria for ax-SpA. Patient-reported health status, demographic variables, medications, and composite scores of disease activity were assessed. The main analyses were performed using General Linear Models adjusted for age, sex and multiple comparisons. Correlation analyses were performed using Spearman's rho.ResultsThe reported pain, joint pain, patient's global assessment and fatigue were similar in PsA and ax-SpA, but significantly lower in RA. The 28-joint Disease Activity Score (DAS28) (0.3±0.1, p = 0.003), Clinical Disease Activity Index (CDAI) (1.0±0.4, p = 0.028) and Routine Assessment of Patient Index Data 3 (RAPID3) (0.4±0.1, p = 0.004) were all significantly higher in PsA vs. RA. RAPID3 showed moderate to high correlation with DAS28 (rho = 0.521, p<0.001) and CDAI (rho = 0.768, p<0.001) in RA and PsA, and with Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) (rho = 0.902, p<0.001) and Bath Ankylosing Spondylitis Functional Index (BASFI) (0.865, p<0.001) in ax-SpA and PsA.ConclusionIn conclusion, patient- reported outcome measures were similar in our population of PsA and ax-SpA patients, but significantly lower for the RA patients. Composite disease activity measures were lower in RA than in PsA and ax-SpA, but the magnitude of these differences was small and probably not of clinical significance. Our study indicates that disease burden in RA, PsA and ax-SpA may be more similar than previously demonstrated.

Project description:BackgroundWe explore the spectrum of comorbidities in psoriatic arthritis (PsA) patients in comparison with other high comorbidity-burden diseases like rheumatoid arthritis (RA) and diabetes mellitus (DM).MethodsTwo hundred and fifteen PsA patients, cross-sectionally collected from two tertiary hospitals, were compared with 215 RA and 215 DM patients (age/sex-matched, similar disease duration). Cardiovascular risk factors [hypertension, current smoking, hyperlipidaemia, obesity (body mass index (BMI) ⩾30)], coronary artery disease (CAD), stroke, major adverse cardiac events (MACEs; combined CAD and stroke), depression, osteoporosis and malignancies were recorded. Odds ratios (ORs) for stroke, CAD and MACE were adjusted for age, sex, hypertension, smoking, hyperlipidaemia, BMI, glucocorticoids use and those for depression were adjusted for age, sex, disease duration, skin involvement and smoking. Within the PsA group, associations between comorbidities and demographic/clinical features were assessed.ResultsDepression [OR (95% confidence interval (CI)): 3.02 (1.57-5.81)], obesity [OR (95% CI): 2.83, (1.65-4.86)] and hyperlipidaemia [OR (95% CI): 1.96 (1.32-2.90)] were more prevalent in PsA compared with RA, while no differences were observed for CAD, stroke, MACE and malignancies. Depression [OR (95% CI): 4.85 (2.37-9.93)] and osteoporosis [OR (95% CI): 6.22 (1.33-29.2)] were more common in PsA than in DM. Hypertension, but not the other cardiovascular risk factors, was more frequent in DM [OR (95% CI) 0.49 (0.33-0.74)]. However, prevalence of stroke, CAD and MACE did not differ between PsA and DM. Within PsA group, depression was associated with age [OR (95% CI): 1.03 (0.99-1.06)], female sex [OR (95% CI): 3.47 (1.51-7.99)] and smoking [OR (95% CI): 2.78 (1.31-5.88)] while MACEs were associated with age [OR (95% CI): 1.08 (1.00-1.17)], male sex [OR (95% CI) for females: 0.26 (0.06-1.23) and hypertension [OR (95% CI): 6.07 (1.12-33.0)]. No differences were recorded in comorbidities between the different PsA phenotypes.ConclusionDepression was more prevalent in PsA compared with RA and DM, while cardiovascular comorbidity was comparable to both groups, supporting the need for their assessment and management.

Dataset Information

Tools for the Assessment of Comorbidity Burden in Rheumatoid Arthritis.

Publications

Tools for the Assessment of Comorbidity Burden in Rheumatoid Arthritis.

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