TY - JOUR
T1 - Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort
AU - Hao, Yanjie
AU - Hansen, Dylan
AU - Louthrenoo, Worawit
AU - Chen, Yi Hsing
AU - Cho, Jiacai
AU - Lateef, Aisha
AU - Hamijoyo, Laniyati
AU - Luo, Shue Fen
AU - Wu, Yeong Jian
AU - Navarra, Sandra
AU - Zamora, Leonid
AU - Li, Zhanguo
AU - Sockalingam, Sargunan
AU - Katsumata, Yasuhiro
AU - Harigai, Masayoshi
AU - Ji, Lanlan
AU - Zhang, Zhuoli
AU - Chan, Madelynn
AU - Kikuchi, Jun
AU - Takeuchi, Tsutomu
AU - Bae, Sang Cheol
AU - Goldblatt, Fiona
AU - O'Neill, Sean
AU - Ng, Kristine
AU - Basnayake, B. M.D.B.
AU - Tugnet, Nicola
AU - Ohkubo, Naoaki
AU - Tanaka, Yoshiya
AU - Tee, Cherica
AU - Tee, Michael
AU - Lau, C. S.
AU - Li, Ning
AU - Golder, Vera
AU - Hoi, Alberta
AU - Kandane-Rathnayake, Rangi
AU - Morand, Eric
AU - Oon, Shereen
AU - Nikpour, Mandana
AU - for the Asia Pacific Lupus Collaboration
N1 - Publisher Copyright:
© 2025 The Author(s). ACR Open Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.
PY - 2025/3
Y1 - 2025/3
N2 - Objective: In contrast to relapsing-remitting patterns, persistently active disease (PAD) is a disease activity pattern in patients with systemic lupus erythematosus (SLE) that is inadequately studied. We sought to identify the frequency and determinants of flare and PAD in SLE. Methods: Flare was defined using the Safety of Estrogens in Lupus Erythematosus National Assessment version of the Systemic Lupus Erythematosus Disease Activity Index (SELENA–SLEDAI flare index), and PAD was defined as an SLEDAI-2K score of ≥4, excluding serology only, on two or more consecutive visits with a maximum six-month interval. Multivariable logistic regression was used to develop predictive models for flare and PAD, which were tested in an independent validation subset. Results: Among 3,811 patients over 2.8 (interquartile range 1.0–5.3) years of follow-up, 2,142 (56.2%) experienced flare and 1,786 (46.9%) had PAD, with 368 (9.7%) experiencing PAD but not flare. The most common flare features were nephritis and arthritis, whereas PAD was most commonly characterized by renal or mucocutaneous activity. After adjusting for prednisone dose and use of antimalarials and immunosuppressants, low gross domestic product in country of residence, smoking, arthritis, nephritis, and low complement levels were predictive for flare, whereas being in a low disease activity state for ≥50% of follow-up time (LLDAS50) was a protective factor. Renal activity and higher time-adjusted mean SLEDAI-2K were predictive of PAD, whereas LLDAS50 was protective. The models developed gave 72.1% and 83.8% correct classification of flare and PAD, respectively, in the validation cohort. Conclusion: Both flare and PAD are common disease activity patterns in SLE; both predict organ damage accrual but differ in disease features and predictive factors. Because 9.7% of patients experience PAD but not flare, flare measures alone do not adequately capture all patients in whom disease control is suboptimal.
AB - Objective: In contrast to relapsing-remitting patterns, persistently active disease (PAD) is a disease activity pattern in patients with systemic lupus erythematosus (SLE) that is inadequately studied. We sought to identify the frequency and determinants of flare and PAD in SLE. Methods: Flare was defined using the Safety of Estrogens in Lupus Erythematosus National Assessment version of the Systemic Lupus Erythematosus Disease Activity Index (SELENA–SLEDAI flare index), and PAD was defined as an SLEDAI-2K score of ≥4, excluding serology only, on two or more consecutive visits with a maximum six-month interval. Multivariable logistic regression was used to develop predictive models for flare and PAD, which were tested in an independent validation subset. Results: Among 3,811 patients over 2.8 (interquartile range 1.0–5.3) years of follow-up, 2,142 (56.2%) experienced flare and 1,786 (46.9%) had PAD, with 368 (9.7%) experiencing PAD but not flare. The most common flare features were nephritis and arthritis, whereas PAD was most commonly characterized by renal or mucocutaneous activity. After adjusting for prednisone dose and use of antimalarials and immunosuppressants, low gross domestic product in country of residence, smoking, arthritis, nephritis, and low complement levels were predictive for flare, whereas being in a low disease activity state for ≥50% of follow-up time (LLDAS50) was a protective factor. Renal activity and higher time-adjusted mean SLEDAI-2K were predictive of PAD, whereas LLDAS50 was protective. The models developed gave 72.1% and 83.8% correct classification of flare and PAD, respectively, in the validation cohort. Conclusion: Both flare and PAD are common disease activity patterns in SLE; both predict organ damage accrual but differ in disease features and predictive factors. Because 9.7% of patients experience PAD but not flare, flare measures alone do not adequately capture all patients in whom disease control is suboptimal.
UR - https://www.scopus.com/pages/publications/86000019035
U2 - 10.1002/acr2.70007
DO - 10.1002/acr2.70007
M3 - Article
C2 - 40012261
AN - SCOPUS:86000019035
SN - 2578-5745
VL - 7
JO - ACR Open Rheumatology
JF - ACR Open Rheumatology
IS - 3
M1 - e70007
ER -