Literature DB >> 30101369

Evaluation of disease activity in a low-income juvenile idiopathic arthritis cohort.

Francisco Airton Castro Rocha1,2, Joaquim Ivo Vasques Dantas Landim3, Marcela Gondim Aguiar3, João Pedro Emrich Accioly3, Carolina Noronha Lechiu3, Luiza Helena Acácio Costa3, Carlos Nobre Rabelo Júnior4, Leila Nascimento da Rocha3, Hermano Alexandre Lima Rocha5.   

Abstract

Determine disease activity in a low income juvenile idiopathic arthritis (JIA) cohort. 164 JIA patients from families with less than US$ 4500.00/capita mean annual income followed in Fortaleza-CE, Brazil, were cross-sectionally evaluated between May 2015-April 2016. Mean age was 14 ± 5.1 years (95 female) with 10.31 ± 3.7 years disease duration. Polyarticular category predominated, with 63 (38.4%) patients, followed by 40 (24%) enthesitis-related (ERA), and 36 (22%) oligoarticular. All but 1 out of 84 parents declared less than US$ 10,000.00 annual family income. Eighty-eight (60.7%) were receiving methotrexate and 19 (13%) leflunomide including 12 (63%) using both; 46 (28%) were on biologic DMARD including 20 (43.5%) adalimumab, 17 (41.5) etanercept, 5 (10.8%) tocilizumab, 2 (4.2%) abatacept, and 1 (2.1%) each on infliximab and canakinumab. Mean CHAQ and JADAS27 were 0.36 ± 0.55 and 5.31 ± 8.5, respectively. Thirty-two (20%) out of 159 patients had deformities. A bivariate analysis revealed that polyarticular had more deformities than oligoarticular patients (p = 0.002; OR = 2.389; 95% CI 1.37-4.14). Logistic regression showed no association between high JADAS and family income (p = 0.339; OR = 1.45; 95% CI 0.67-3.31). A general linear model showed significantly lower CHAQ score in patients from families earning more as compared to those earning less than 300.00 US$ monthly (p = 0.002). This study reports JIA disease activity in a low income population. Low income apparently did not influence prognosis given the low mean JADAS27 and CHAQ scores vis-à-vis data from other cohorts.

Entities:  

Keywords:  Epidemiology; Juvenile idiopathic arthritis; Pediatric rheumatology

Mesh:

Substances:

Year:  2018        PMID: 30101369     DOI: 10.1007/s00296-018-4128-8

Source DB:  PubMed          Journal:  Rheumatol Int        ISSN: 0172-8172            Impact factor:   2.631


  20 in total

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3.  Review of Current Workforce for Rheumatology in the Countries of the Americas 2012-2015.

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4.  Defining criteria for disease activity states in nonsystemic juvenile idiopathic arthritis based on a three-variable juvenile arthritis disease activity score.

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5.  Latitude gradient influences the age of onset of rheumatoid arthritis: a worldwide survey.

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6.  Profile of paediatric rheumatology specialists and services in the state of São Paulo.

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7.  Environmental Risk Factors and Early-Life Exposures in Juvenile Idiopathic Arthritis: A Case-Control Study.

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Review 9.  Clinical outcome measures in juvenile idiopathic arthritis.

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Journal:  Pediatr Rheumatol Online J       Date:  2016-04-18       Impact factor: 3.054

10.  The new Childhood Arthritis and Rheumatology Research Alliance (CARRA) registry: design, rationale, and characteristics of patients enrolled in the first 12 months.

Authors:  Timothy Beukelman; Yukiko Kimura; Norman T Ilowite; Kelly Mieszkalski; Marc D Natter; Grendel Burrell; Brian Best; Jason Jones; Laura E Schanberg
Journal:  Pediatr Rheumatol Online J       Date:  2017-04-17       Impact factor: 3.054

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  2 in total

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Review 2.  Microbes, helminths, and rheumatic diseases.

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  2 in total

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