This study aimed to assess the baseline characteristics and clinical outcomes of coronavirus disease 2019 (COVID-19) in patients with rheumatic diseases and identify the risk factors associated with severe COVID-19 pneumonia. This was a retrospective study in a tertiary care center conducted through the period between March 2020 and November 2020 and included all adult patients with rheumatic diseases who tested positive on the COVID-19 polymerase chain reaction (PCR) test. We assessed the patients’ demographic data, history of rheumatic disease, COVID-19 symptoms and experimental treatment, if any, their disease course, and outcome. In all, 47 patients were included, and most were females. The commonest rheumatic diseases were rheumatoid arthritis (53.2%), followed by systemic lupus erythematosus (21.3%), and psoriatic arthritis (10.6%). Methotrexate and hydroxychloroquine were the most commonly used disease-modifying anti-rheumatic drugs in 36.1% and 25.5%, respectively. Out of 47 patients, 48.9% required hospitalization with a median hospital stay of 7 days. Severe COVID-19 pneumonia, defined as clinical signs of pneumonia plus one of the following: respiratory rate > 30 bpm, severe respiratory distress, or oxygen saturation < 90% in room air was observed in 19.1% of the patients, and one patient died. We found that elderly patients with a mean age of 65.3 years were more likely to develop severe COVID-19 pneumonia and that was statistically significant. Our study showed that elderly patients with a mean age of 65 years and having rheumatic diseases had an increased risk of hospital admission and development of severe COVID-19 pneumonia.
Purpose Ability to work is an important endpoint in rheumatoid arthritis (RA). It is not clear what outcome measures should be used to guide treatment in order to maximize workability. This study addressed the impact of RA on workability in a Saudi population and examined the correlation between objective measures of disease activity and reduced workability. This will allow better understanding of treatment targets that will translate into improved workability. Patients and methods Data were collected through a digital patient record keeper: The Rheumatoid Arthritis Saudi Database. Male and female patients, ≥18 years of age, that met the American College for Rheumatology criteria for diagnosis of RA, were recruited, regardless of treatment. Demographic and disease-specific data were collected. Disease Activity Score-28 (DAS-28) was used to define patients as low (DAS-28 ≤3.2) vs high (DAS-28 >3.2) disease activity. Health assessment questionnaire (HAQ) score, visual analog scale (VAS) score, and musculoskeletal ultrasound 7 joint score were documented also. The work productivity and activity impairment (WPAI) score was used to measure absenteeism, presenteeism, overall work impairment, and activity impairment. DAS-28 score was correlated with WPAI score and linear regression used to identify the demographic and measures of treatment response that predict improvement in WPAI score. Results Higher absenteeism and more activity impairment were seen for patients with persistent DAS-28 >3.2 (non-achievers). HAQ and VAS scores correlated with presenteeism, overall work impairment, and activity impairment. Conclusion Disease activity, as defined by DAS-28 score, correlates with absenteeism and work impairment in a Saudi population. However, on linear regression analysis, HAQ and VAS scores were the only measures predictive of work impairment. These scores should be used to monitor response to treatment regimens that aim to maximize work potential for Saudi individuals.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.