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Objectives: To measure the association between SLE remission and scores of patients-reported outcome (PRO) measures., Methods: We performed a prospective cohort study of SLE patients with a 2-year follow-up, using Lupus Patient-Reported Outcome (LupusPRO), Lupus Quality of Life (LupusQoL), Systemic Lupus Erythematosus Quality of Life (SLEQOL) and 36-item Short Form (SF-36) questionnaires. Remission was defined as remission off treatment (ROFT) and remission on treatment (RONT) according to the definitions of remission in SLE consensus. Mixed models accounting for repeated measures were used to compare groups as follow: ROFT and RONT vs no remission and lupus low disease activity state (LLDAS) vs no LLDAS., Results: A total of 1478 medical visits and 2547 PRO questionnaires were collected during the follow-up from the 336 recruited patients. A between-group difference in PRO scores reaching at least 5 points on a 0-100 scale was obtained in the following domains: lupus symptoms (LLDAS: +5 points on the 0-100 scale, RONT: +9, ROFT: +5), lupus medication (LLDAS: +5, RONT: +8, ROFT: +9), pain vitality (LLDAS: +6, RONT: +9, ROFT: +6) of LupusPRO; role emotional (LLDAS: +5, RONT: +8), role physical (RONT: +7 and ROFT: +7), bodily pain (RONT: +6), mental health (RONT: +5) and social functioning (RONT: +6) of SF-36. In contrast, a between-group difference reaching at least 5 points was not achieved for any of the LupusQoL and SLEQOL domains., Conclusions: RONT, ROFT and LLDAS were associated with significant and clinically relevant higher QoL in most PRO domains of the LupusPRO (disease specific) and SF-36 (generic) questionnaires, but not with LupusQoL and SLEQOL disease-specific questionnaires., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objectives: Mediation analyses were conducted to measure the extent to which musculoskeletal (MSK) flares and depression affected physical health through excessive fatigue., Methods: Mediation analyses were performed in a large multicentre cohort of SLE patients. Domains of the LupusQoL and SLEQOL questionnaires were selected as outcomes, MSK flares according to the SELENA-SLEDAI flare index (SFI-R) score and depression defined by Center for Epidemiologic Studies-Depression scale (CES-D) scale as exposures and different fatigue domains from MFI-20 and LupusQoL questionnaires as mediators. For each model, total, direct, indirect effects and proportion of effect mediated by fatigue (i.e. proportion of change in health-related quality of life) were determined., Results: Of the 336 patients, 94 (28%) had MSK flares at inclusion and 99 (29.5%) were considered with depression. The proportion of the total effect of MSK flares on physical health impairment explained by fatigue ranged from 59.6% to 78% using the LupusQOL 'Physical health' domain and from 51.1% to 73.7% using the SLEQOL 'Physical functioning' domain, depending on the fatigue domain selected. The proportion of the total effect of depression on physical health impairment explained by fatigue ranged from 68.8% to 87.6% using the LupusQOL 'Physical health' domain and from 79.3% to 103.2% using the SLEQOL 'Physical functioning' domain, depending on the fatigue domain selected., Conclusions: The effect of MSK flares and depression on physical health impairment is largely mediated by fatigue. Thus, the patient's perception of disease activity as measured by physical health is largely influenced by fatigue. In addition, fatigue has a significant negative impact on quality of lifeof SLE patients with depression., Trial Registration: ClinicalTrials.gov, http://clinicaltrials.gov, NCT01904812., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: The prevalence of fatigue is high in patients with systemic lupus erythematosus (SLE). In this study, we used latent class analysis to reveal patterns of fatigue, anxiety, depression and organ involvement in a large international cohort of SLE patients., Methods: We used the Lupus BioBank of the upper Rhein to analyse patterns of fatigue using latent class analysis (LCA). After determining the optimal number of latent classes, patients were assigned according to model generated probabilities, and characteristics of classes were compared., Results: A total of 502 patients were included. Significant fatigue, anxiety and depression were reported by 341 (67.9%), 159 (31.7%) and 52 (10.4%) patients, respectively. LCA revealed a first cluster (67.5% of patients) with low disease activity [median (25th-75th percentile interquartile range) Safety of Estrogens in Lupus Erythematosus National Assessment (SELENA)-SLEDAI: 2 (0-4)], significant fatigue (55.5%, P < 0.0001), low anxiety (11.8%, P < 0.0001) and depression (0.9%, P < 0.0001). Cluster 2 (25.3%) also comprised patients with low disease activity [SELENA-SLEDAI: 2 (0-6)], but those patients had a very high prevalence of fatigue (100%, P < 0.0001), anxiety (89%, P < 0.0001) and depression (38.6%, P < 0.0001). Cluster 3 (7.2%) comprised patients with high disease activity [SELENA-SLEDAI: 12 (8-17), P < 0.0001] and high fatigue (72.2%, P < 0.0001) with low levels of anxiety (16.7%, P < 0.0001) and no depression (0%, P < 0.0001)., Conclusion: LCA revealed three patterns of fatigue with important practical implications. Based on these, it is crucial to distinguish patients with active disease (in whom remission will be achieved) from those with no or mild activity but high levels of fatigue, depression and anxiety, for whom psychological counselling should be prioritized., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: To explore, at an item-level, the effect of disease activity (DA) on specific health-related quality of life (HRQoL) in SLE patients using an item response theory longitudinal model., Methods: This prospective longitudinal multicentre French cohort EQUAL followed SLE patients over 2 years. Specific HRQoL according to LupusQoL and SLEQOL was collected every 3 months. DA according to SELENA-SLEDAI flare index (SFI) and revised SELENA-SLEDAI flare index (SFI-R) was evaluated every 6 months. Regarding DA according to SFI and each SFI-R type of flare, specific HRQoL of remitting patients was compared with non-flaring patients fitting a linear logistic model with relaxed assumptions for each domain of the questionnaires., Results: Between December 2011 and July 2015, 336 patients were included (89.9% female). LupusQoL and SLEQOL items related to physical HRQoL (physical health, physical functioning, pain) were most affected by musculoskeletal and cutaneous flares. Cutaneous flares had significant influence on self-image. Neurological or psychiatric flares had a more severe impact on specific HRQoL. Patient HRQoL was impacted up to 18 months after a flare., Conclusion: Item response theory analysis is able to pinpoint items that are influenced by a given patient group in terms of a latent trait change. Item-level analysis provides a new way of interpreting HRQoL variation in SLE patients, permitting a better understanding of DA impact on HRQoL. This kind of analysis could be easily implemented for the comparison of groups in a clinical trial., Trial Registration: ClinicalTrials.gov, http://clinicaltrials.gov, NCT01904812., (© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: Fatigue is reported in up to 90% of patients with SLE. This study was conducted to identify the determinants associated with fatigue in a large cohort of patients with SLE, as well as to provide a systematic review of the literature., Methods: Patients from the Lupus BioBank of the upper Rhein, a large German-French cohort of SLE patients, were included in the FATILUP study if they fulfilled the 1997 ACR criteria for SLE and had Fatigue Scale for Motor and Cognitive Functions scores collected. Multivariate logistic regression analyses were performed to assess the determinants of fatigue and severe fatigue., Results: A total of 570 patients were included (89.1% female). The median age was 42 years (interquartile range 25-75: 34-52). The median value of the SAfety of Estrogens in Lupus Erythematosus National Assessment (SELENA)-SLEDAI was 2 (0-4). Fatigue was reported by 386 patients (67.7%) and severe fatigue by 209 (36.7%). In multivariate analyses, fatigue was associated with depression [odds ratio (OR): 4.72 (95% CI: 1.39-16.05), P = 0.01], anxiety [OR: 4.49 (95% CI: 2.60-7.77), P < 0.0001], glucocorticoid treatment [OR: 1.59 (95% CI 1.05-2.41), P = 0.04], SELENA-SLEDAI scores [OR: 1.05 (95% CI: 1.00-1.12) per 1 point increase, P = 0.043] and age at sampling [OR: 1.01 (95% CI: 1.00-1.03) per 1 year increase, P = 0.03]. Severe fatigue was independently associated with anxiety (P < 0.0001), depression (P < 0.0001), glucocorticoid treatment (P = 0.047) and age at sampling (P = 0.03)., Conclusion: Both fatigue and severe fatigue are common symptoms in SLE, and are strongly associated with depression and anxiety. Disease activity and the use of glucocorticoids were also independently associated with fatigue, although more weakly., (© The Author(s) 2018. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)