Affiliations 

  • 1 Monash University, Melbourne, Victoria, Australia lisaningli@gmail.com
  • 2 Monash University, Melbourne, Victoria, Australia
  • 3 Chang Gung Memorial Hospital, Tao-Yuan, Taiwan
  • 4 Chiang Mai University, Chiang Mai, Thailand
  • 5 University of Malaya, Kuala Lumpur, Malaysia
  • 6 National University Hospital, Singapore
  • 7 Woodlands Health, Singapore
  • 8 The University of Sydney, Sydney, New South Wales, Australia
  • 9 University of Hong Kong Faculty of Medicine, Hong Kong
  • 10 University of Padjadjaran Faculty of Medicine, Bandung, Indonesia
  • 11 The University of Melbourne at St Vincent's Hospital, Fitzroy, Victoria, Australia
  • 12 Tan Tock Seng Hospital, Singapore
  • 13 People's Hospital, Peking University Health Science Center, Beijing, China
  • 14 Rheumatology, University of Santo Tomas, Manila, Philippines
  • 15 University of Santo Tomas, Manila, Philippines
  • 16 Tokyo Women's Medical University, Shinjuku, Japan
  • 17 Flinders Medical Centre, Bedford Park, South Australia, Australia
  • 18 Hanyang University Hospital for Rheumatic Diseases, Seongdong-gu, Korea (the Republic of)
  • 19 Peking University First Hospital, Beijing, China
  • 20 Keio University, Minato, Japan
  • 21 North Shore Hospital, Health New Zealand Waitemata, Auckland, New Zealand
  • 22 Auckland District Health Board, Auckland, New Zealand
  • 23 University of Occupational and Environmental Health Japan, Kitakyushu, Japan
  • 24 Taichung Veterans General Hospital, Taichung, Taiwan
  • 25 Teaching Hospital Kandy, Kandy, Sri Lanka
  • 26 Singapore General Hospital, Singapore
  • 27 Middlemore Hospital, Auckland, New Zealand
  • 28 University of the Philippines, Manila, Philippines
  • 29 Bristol Myers Squibb, New Brunswick, New Jersey, USA
Lupus Sci Med, 2025 Feb 12;12(1).
PMID: 39939124 DOI: 10.1136/lupus-2024-001335

Abstract

OBJECTIVE: Disease activity both between and within patients with SLE is highly variable, yet factors driving this variability remain unclear. This study aimed to identify predictors of variability in SLE disease activity over time.

METHODS: We analysed data from 2930 patients with SLE across 13 countries, collected over 38 754 clinic visits between 2013 and 2020. Clinic visit records were converted to panel data with 1-year intervals. The time-adjusted mean disease activity, termed AMS, was calculated. The yearly change in [Formula: see text], denoted as [Formula: see text], was regressed onto [Formula: see text] and other potential predictors using random-effects models. Some variables were split into a person-mean component to assess between-patient differences and a demeaned component to assess within-patient variability.

RESULTS: Overall, variability in SLE disease activity exhibited stabilisation over time. A significant inverse relationship emerged between a patient's disease activity in a given year and variability in disease activity in the subsequent year: a 1-point increase in person-mean disease activity was associated with a 0.27-point decrease (95% CI -0.29 to -0.26, p<0.001) in subsequent variability. Additionally, a 1-point increase in within-patient disease activity variability was associated with a 0.56-point decrease (95% CI -0.57 to -0.55, p<0.001) in the subsequent year. Furthermore, each 1-point increase in the annual average time-adjusted mean Physician Global Assessment was associated with a 0.08-point decrease (90% CI -0.13 to -0.03, p=0.002) in disease activity variability for the following year. Prednisolone dose and the duration of activity in specific organ systems exhibited negative and positive associations, respectively, with disease activity variability in the subsequent year. Patients from less affluent countries displayed greater disease activity variability compared with those from wealthier nations.

CONCLUSION: Disease activity tends to be less variable among patients with higher or more variable disease activity in the previous year. Within-patient variability in disease activity has a stronger impact on subsequent fluctuations than differences between individual patients.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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