Baseline comorbidities in patients with rheumatoid arthritis who have been prescribed biological therapy: A case control study

Espiño-Lorenzo, Pilar; Manrique‐Arija, Sara; Ureña, I.; Jiménez-Núñez, F. G.; López-Lasanta, María; Romero-Barco, Carmen María; Belmonte-López, María Angeles; Irigoyen, M.V.; Fernández‐Nebro, Antonio

doi:10.1016/j.reumae.2012.05.003

Cited by 4 publications

(7 citation statements)

References 34 publications

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“…In this study we observed that the frequency of diabetes mellitus was (20.1%) which were in agreement with the study done by Espiño-Lorenzo et al 20 and revealed that (27.0%) of RA patients were diabetic.…”

supporting

confidence: 93%

“…Moreover, Espiño-Lorenzoet al 20 observed that age is the main predictive factor of comorbidity in these RA patients. They identified four factors associated with comorbidity in the univariate analysis, two related to age and the rest related to the severity of RA, however, age was the only predictive factor for both comorbidity and multimorbidity in the multivariate analyses.…”

mentioning

confidence: 92%

“…A total of 1142 patients files were reviewed , the diagnoses of RA based on the 1987 American College of Rheumatology criteria were included in the study, their ages ranged from years and the duration of the RA disease ranged from (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) years.…”

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confidence: 99%

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Rheumatoid Arthritis Severity Index and Its Relation to Comorbidity in Egyptian Rheumatoid Arthritis Patients.

Alian¹,

Zaghlol²,

Khalil³

et al. 2017

IJAR

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confidence: 93%

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confidence: 92%

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Rheumatoid Arthritis Severity Index and Its Relation to Comorbidity in Egyptian Rheumatoid Arthritis Patients.

Alian¹,

Zaghlol²,

Khalil³

et al. 2017

IJAR

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“…was 13% (27). The prevalence of thyroid disorders noted in a Colombian cohort of RA patients was 9.8% (mean age 51.92, n=800) with higher levels of thyroid antibodies (28 (29).…”

Section: N Discussion and Conclusionmentioning

confidence: 89%

Comorbidities and related factors in rheumatoid arthritis patients of south India- Karnataka Rheumatoid Arthritis Comorbidity (KRAC) study

Chandrashekara

Shobha

Dharmanand³

et al. 2017

Reumatismo

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SUMMARYThe aim was to study the prevalence of comorbidities in rheumatoid arthritis (RA) patients in everyday clinical practice and their association with disease-specific and demographic factors. The multi-center study recruited 3,247 (at 14 centers, and 265) were excluded due to incomplete data. The number of subjects considered for the analysis was 2982. The mean (±standard deviation) age was 48.98±12.64 years and the male-to-female ratio was 1:5. The data was collected based on a pre-structured pro forma by trained clinical research associates through interview and verification of charts and reports available in the patient records. The following comorbidities were studied: cardiovascular disease, hypertension, diabetes mellitus, hypercholesterolemia, thyroid disease, psychiatric diseases like depression, and pulmonary disease. Hypertension (20.7%), diabetes mellitus (14.4%) and thyroid disease (18.3%) were the most prevalent comorbidities. Hypercholesterolemia (5.3%), pulmonary diseases (2.1%), cardiovascular diseases (0.2%) and depression (0.03%) were prevalent in ≤5% of the study population. The overall presence of comorbidity increased with age and reduced with the duration of illness prior (DOIP). The age, gender, and DOIP differed significantly between groups with and without hypercholesterolemia. Females had a statistically increased prevalence of thyroid disease. The prevalence of comorbidities in RA patients from south India is around 40% and the incidence of comorbidity increased with age. As per the literature evidence, the prevalence in the current study subjects was higher when compared to prevalence of similar diseases occurring in the general south Indian population.

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“…With many instruments and tools available to assess and quantify patient comorbidity, there is no consensus within the field of rheumatology on which comorbidity index is most optimal. Because of the widespread use of administrative data sets, adaptations of the CCI and ECS such as the Charlson-Deyo Index (CDI) and the Elixhauser Total Score (ETS), as well as self-created comorbidity counts, are frequently adopted (5,(12)(13)(14)(15)(16)(17)(18)(19). Variations of the CCI are used primarily because they have been extensively validated throughout varying medical and research contexts.…”

Section: Introductionmentioning

confidence: 99%

Validation of the Rheumatic Disease Comorbidity Index

England

Sayles

Mikuls

et al. 2015

Arthritis Care & Research

186

156

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Objective. There is no consensus on which comorbidity index is optimal for rheumatic health outcomes research. We compared a new Rheumatic Disease Comorbidity Index (RDCI) with the Charlson-Deyo Index (CDI), Functional Comorbidity Index (FCI), Elixhauser Total Score (ETS), Elixhauser Point System (EPS), and a simple comorbidity count (COUNT) using a US cohort of rheumatoid arthritis (RA) patients. Methods. Using administrative diagnostic codes and patient self-reporting, we tested predictive values of the RDCI, CDI, FCI, ETS, EPS, and COUNT for 2 outcomes: all-cause mortality and physical functioning. Indices were compared using 3 models: bare (consisting of age, sex, and race), administrative (bare plus visit frequency, body mass index, and treatments), and clinic (administrative plus erythrocyte sedimentation rate, nodules, rheumatoid factor positivity, and patient activity scale). Results. The ETS and RDCI best predicted death, with FCI performing the worst. The FCI best predicted function, with ETS and RDCI performing nearly as well. CDI predicted function poorly. The order of indices remained relatively unchanged in the different models, though the magnitude of improvement in Akaike's information criterion decreased in the administrative and clinic models. Conclusion. The RDCI and ETS are excellent indices as a means of accounting for comorbid illness when the RArelated outcomes of death and physical functioning are studied using administrative data. The RDCI is a versatile index and appears to perform well with self-report data as well as administrative data. Further studies are warranted to compare these indices using other outcomes in diverse study populations.

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Baseline comorbidities in patients with rheumatoid arthritis who have been prescribed biological therapy: A case control study

Cited by 4 publications

References 34 publications

Rheumatoid Arthritis Severity Index and Its Relation to Comorbidity in Egyptian Rheumatoid Arthritis Patients.

Rheumatoid Arthritis Severity Index and Its Relation to Comorbidity in Egyptian Rheumatoid Arthritis Patients.

Comorbidities and related factors in rheumatoid arthritis patients of south India- Karnataka Rheumatoid Arthritis Comorbidity (KRAC) study

Validation of the Rheumatic Disease Comorbidity Index

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