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Objective: To assess the relationship between smoking exposure and organ damage accrual measured by Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index for Systemic Lupus Erythematosus score (SLICC-SDI) in consecutive patients with systemic lupus erythematosus (SLE) from Argentina., Methods: 623 consecutive SLE patients (fulfilling ≥4, 1997 ACR criteria) were included in this cross-sectional study. Sociodemographic and disease related variables including SLICC-SDI score and smoking status were collected. Patients currently smoking were considered "smokers", and "non-smokers" those who never smoked and former smokers. SLICC-SDI was divided into two categories: <3 and ≥3 was defined as severe damage., Results: Six hundred and 23 patients were included in the analysis, 89% women. Eighty-four per cent were non-smokers and 16 % were current smokers 83 percent of patients had SLICC-SDI <3 and 17 % had SLICC-SDI ≥3. Twenty one percent of patients with SLICC-SDI ≥3 and 15% with <3 SLICC-SDI were current smokers ( p 0.081). In the multiple regression analysis, current smoking (OR 1.82, CI 95% 1.01-3.31, p 0.046), older age (OR 1.04, CI 95% 1.00-1.05, p 0.034), disease duration (OR 1.03, CI 95% 1.00-1.07, p 0.021) and cyclophosphamide exposure (OR 2.97, CI 95% 1.49-5.88, p 0.002) were related to SLICC-SDI ≥3., Conclusion: In our sample of patients, current smoking, older age, disease duration and cyclophosphamide were related to severe damage (SLICC-SDI ≥3)., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: To study the prevalence and the associated factors of work disability (WD) in systemic lupus erythematosus (SLE) patients., Methods: A sample of 419 SLE patients from an observational cross-sectional multicenter study was included. Sociodemographic features, disease characteristics, comorbidities, quality of life, unhealthy behaviors, and work-related factors were measured in a standardized interview. Work disability was defined by patient self-report of not being able to work because of SLE. To identify variables associated with work disability, two different multivariate regression models using a stepwise backward method were performed., Results: Prevalence of WD due to SLE was 24.3%. Eighty-nine percent were female and 51% were Caucasians. Mean disease duration was 8.9 ± 7.2 years, and median System Lupus International Collaborating Clinics/American College of Rheumatology damage index SLICC-SDI was 1.5 (range 0-17). In stepwise multivariate logistic regression, living below the poverty line (odds ratio [OR] = 4.65), less than 12 years of education (OR = 2.84), Mestizo ethnicity (OR = 1.94) and SLICC-SDI (OR = 1.25) were predictors of WD. A second model was performed including patient-derived measures; in this model sedentary lifestyle (OR = 2.69) and lower emotional health domain score of the Lupus Quality of Life (LupusQoL) questionnaire (OR = 1.03) were found to be associated to WD and a higher score in LupusQoL physical health domain (OR = 0.93) was protective., Conclusion: The prevalence of WD in Argentinian SLE patients was 24.3%. WD was associated with ethnic (Mestizo), socioeconomic (poverty) and disease-related factors. Patient-related outcomes such us sedentary lifestyle and poor emotional quality of life were also associated with WD., (© 2018 Asia Pacific League of Associations for Rheumatology and John Wiley & Sons Australia, Ltd.)

To determine the prevalence of and associated factors to work instability (WI) in rheumatoid arthritis (RA) Argentinean patients. Observational cross-sectional study that assessing employment status in currently working RA patients. They answered the validated version of RA work instability scale (RA-WIS). High-risk WI was considered when RA-WIS was ≥17. Factors associated with high-risk WI were examined by univariable and multivariable analysis. Four-hundred and fifty RA patients were enrolled; of these, 205 patients were currently employed, but only 172 have completed questionnaires required [RA-WIS and health assessment questionnaire (HAQ-A)]. Their mean age was 49.3 ± 10.8 years; 81.3 % were female; and their mean disease duration was 8.1 ± 7.2 years. Fifty-two percent of patients were doing manual work. The mean RA-WIS score was 11.4 ± 6.8, and 41 % of patients had a high-risk WI. High-risk WI was associated with radiographic erosions (p < 0.001) and HAQ-A >0.87 (p < 0.001) in the univariable analysis, whereas in the multivariable logistic regression analysis the variables associated with a high-risk WI were as follows: HAQ-A >0.87 [odds ratio (OR) 12.31; 95 % CI 5.38-28.18] and the presence of radiographic erosions (OR 4.848; 95 % CI 2.22-10.5). In this model, having a higher monthly income (OR 0.301; 95 % CI 0.096-0.943) and a better functional class (OR 0.151; 95 % CI 0.036-0.632) were protective. Forty-one percent of RA working patients had high-risk WI. The predictors of high RA-WIS were HAQ-A ≥0.87 and radiographic erosions, whereas having a better functional class and have higher incomes were protective.