Impact of telemedicine on disease activity assessment: A case-crossover study nested within a cohort of patients with systemic lupus erythematosus

Author:

Almaghlouth Ibrahim1ORCID,Almalag Haya M.2ORCID,Alzuhair Hajer1,Alsaigh Rafif1,Bedaiwi Asma1,Hassen Lena M.13,Alzomia Sulaiman1,Alanazi Boshra1,Alabdulkareem Abdulaziz Mohammed1,Alahmari Saud1,Asfina Kazi Nur1,Khalil Najma14,Omair Mohammed A.1,Bedaiwi Mohamed1

Affiliation:

1. Rheumatology Unit, Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia

2. Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia

3. Zoology Department, College of Sciences, King Saud University, Riyadh, Saudi Arabia

4. College of Medicine Research Centre, College of Medicine, King Saud University, Riyadh, Saudi Arabia

Abstract

Introduction The utilisation of telemedicine has been rapidly growing among patients with rheumatic diseases, especially following the corona virus disease 2019 pandemic. Ease and convenience appear to dominate the reasons for this growth. However, the effects of this approach in patients with systemic lupus erythematosus (SLE) are yet to be revealed. In this study, we examined the effect of telemedicine on disease activity assessment and damage scores in patients with SLE. Methods This case-crossover study was nested within a national prospective cohort of patients with SLE in Saudi Arabia. Patients with SLE were included if they fulfilled the Systemic Lupus International Collaborating Clinics classification criteria between March 2020 and March 2021 and were assessed at three time points with 3 months between assessments, according to the standardised protocol of this cohort. Telemedicine was conducted for the first evaluation, while in-person assessments were used at the second and third visits. The primary outcome was the difference in the SLE disease activity index 2000 (SLEDAI-2K) score. The primary analysis was conducted using the repeated measure model and adjusted for potential confounders, including demographics, medications, and changes in steroid doses. Several sensitivity analyses were conducted to mitigate selection and time-varying confounders. Results A total of 92 participants were included in this study. Most patients were females (88%), with a mean (±standard deviation [SD]) age of 36 (±13) years. The mean (±SD) disease activity scores at baseline were as follows: SLEDAI-2K, 5 (±5); SLE responder index, 3.8 (±3.5); Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage index, 1 (±1). The mean difference in SLEDAI-2K score was −1.641 (95% confidence interval −2.773 to −0.510, p = 0.005*) between telemedicine and follow-up visits. The results were consistent in all sensitivity analyses. Conclusion We found that telemedicine assessment was associated with a much higher disease activity score than subsequent assessments, which may suggest an overestimation of disease activity and later assessment accuracy. Cautious adoption has been suggested for SLE patients with active disease.

Publisher

SAGE Publications

Subject

Rheumatology

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