The SLE-DAS provides an accurate and feasible flare tool in the clinical setting: a validation study.

OBJECTIVE: To assess the criterion validity of the SLE disease activity score (SLE-DAS) flare tool and compare its performance in identifying flares against other instruments. METHODS: Patients with SLE fulfilling SLE-DAS low disease activity at baseline were included from two academic lupus clinics. During follow-up, flares were identified by the senior attending clinician, applying the expert-consensus-based definition as gold-standard. The first clinical flare from flaring patients, and the first visit after baseline in patients without flares were analysed. In each no flare/flare visits, we assessed flares by SLE-DAS (score increase ≥1.72), classic-SELENA Flare Index (c-SELENA FI), revised-SELENA FI (r-SELENA FI), and SLEDAI-2K (score increase ≥4). We estimated the sensitivity, specificity, and Cohen's Kappa agreement of each flare tool against the gold-standard. RESULTS: A total of 442 patients were included and followed-up for 22.9 (14.2) months. Incidence of flares was 8.19/100 patient-years, with 69 patients experiencing flares. The SLE-DAS identified 96.6% of the expert-defined flares implying a treatment change and classified 28.0% of those as moderate/severe. Sensitivity and specificity for the gold-standard flare definition were: SLE-DAS 97.1% and 97.3%, c-SELENA FI 88.4% and 98.1%, r-SELENA FI 88.4% and 96.8%, SLEDAI-2K 56.5% and 99.2%, respectively. Kappa coefficients of these instruments were 0.902 (95% CI: 0.847, 0.957), 0.870 (95% CI: 0.805, 0.935), 0.832 (95% CI: 0.761, 0.903), and 0.663 (95% CI: 0.557, 0.769), respectively. The number of flare misclassifications was lowest with the SLE-DAS, and highest with the SLEDAI-2K. CONCLUSION: The SLE-DAS accurately identifies and categorizes flares as mild or moderate/severe. It is feasible and, thus, may help the physicians' treatment decisions in the clinical practice setting.

Association of disease activity with depression and anxiety in systemic lupus erythematosus: A comparison of SLEDAI-2K and SLE-DAS.

OBJECTIVE: To explore the association of disease activity, as evaluated by both the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) and the Systemic Lupus Erythematosus Disease Activity Index-2000 (SLEDAI-2K), with depression and anxiety in patients with systemic lupus erythematosus (SLE). METHODS: A cross-sectional study was conducted among 85 Chinese patients with SLE. Disease activity was measured using SLEDAI-2K and SLE-DAS scoring systems. Depression and anxiety were assessed using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder Scale-7 (GAD-7), respectively. Multivariate logistic regression analysis was performed to evaluate the association of disease activity scores, as well as specific clinical and laboratory items, with depression and anxiety. RESULTS: There was a robust correlation between SLEDAI-2K and SLE-DAS scores in overall patients (Spearman's r = 0.764, 95% confidence interval (CI) 0.655-0.842; p< 0.001) and those with moderate-to-high disease activity (Spearman's r = 0.792, 95%CI 0.616-0.892; p< 0.0001). However, the correlation weakened for patients with mild disease activity or remission (Spearman's r = 0.450, 95%CI 0.188-0.652; p= 0.001). Multivariate logistic regression analysis did not show a significant correlation between SLEDAI-2K and SLE-DAS scores and depression/anxiety. The presence of mucosal ulcer/serositis significantly increased the risk of depression (OR = 4.472, 95%CI 1.035-19.328, p= 0.045) and anxiety (OR = 3.978, 95%CI 1.051-15.049, p= 0.042). CONCLUSION: The SLE-DAS scoring system demonstrated a comparable ability to assess disease activity in SLE compared with SLEDAI-2K. Though neither scoring system showed significant associations with depression and anxiety, the presence of mucosal ulcer/serositis markedly heightened the risk of both among SLE patients.

Usefulness in daily practice of the Systemic Lupus Erythematosus Disease Activity Index 2000 scale and the Systemic Lupus Erythematosus Disease Activity Score index for assessing the activity of systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by high heterogeneity of clinical manifestations and an uncertain prognosis. Although the mortality rate due to SLE has decreased significantly in recent decades, there is still a need to find good tools to measure disease activity for early detection of exacerbations and treatment planning. Over the decades, more than a dozen disease activity scales/indicators have been developed, with the SLE Disease Activity Index (SLEDAI) being the most popular. More recently, the new SLE Disease Activity Score (SLE-DAS) has been introduced. This paper compares the two methods of assessing SLE activity, and presents the relevance of these scales in pregnant SLE patients and their use in formulating definitions of remission and low disease activity. The results show that the SLEDAI and the SLE-DAS are of comparable value in assessing SLE activity and complement each other.

Predictors of flare in SLE patients fulfilling lupus low disease activity state: a cohort study of 292 patients with 36-month follow-up.

OBJECTIVES: The treatment target in SLE should be maintained stable by preventing flares. The objectives were to identify predictors of flare in patients attaining lupus low disease activity state (LLDAS), and to assess whether remission with no glucocorticoids is associated with lower risk of flares. METHODS: This was a cohort study of SLE patients followed in a referral centre over 3 years. Baseline was the first visit where each patient attained LLDAS. Flares up to 36 months' follow-up were identified by three instruments: revised Safety of Estrogen in Lupus Erythematosus National Assessment (SELENA) Flare Index (r-SFI), SLEDAI-2000 (SLEDAI-2K) and SLE Disease Activity Score (SLE-DAS). Demographic, clinical and laboratory parameters at baseline were evaluated as predictors of flare, with distinct models for each flare instrument, using survival analysis with univariate followed by multivariate Cox regression. Hazard ratios (HR) were determined with 95% CI. RESULTS: A total of 292 patients fulfilling LLDAS were included. Over follow-up, 28.4%, 24.7% and 13.4% of the patients developed one or more flare, according to r-SFI, SLE-DAS and SLEDAI-2K definitions, respectively. After multivariate analysis, the predictors of SLE-DAS flares were presence of anti-U1-ribonucleoprotein (anti-U1RNP) (HR = 2.16, 95% CI 1.30, 3.59), SLE-DAS score at baseline (HR = 1.27, 95% CI 1.04, 1.54) and immunosuppressants (HR = 2.43, 95% CI 1.43, 4.09). These predictors were equally significant for r-SFI and SLEDAI-2K flares. Remitted patients with no glucocorticoids presented a lower risk of SLE-DAS flares (HR = 0.60, 95% CI 0.37, 0.98). CONCLUSION: In patients with LLDAS, anti-U1RNP, disease activity scored by SLE-DAS and SLE requiring maintenance immunosuppressants predict higher risk of flare. Remission with no glucocorticoids is associated with lower risk of flares.

Comparisons of SLE-DAS and SLEDAI-2K and classification of disease activity based on the SLE-DAS with reference to patient-reported outcomes.

OBJECTIVES: Although the SLE Disease Activity Score (SLE-DAS) and its definitions to classify disease activity have been recently developed to overcome the drawbacks of the SLE Disease Activity Index 2000 (SLEDAI-2K), the performance of the SLE-DAS for patient-reported outcomes (PROs) has not been fully examined. We aimed to compare SLE-DAS with SLEDAI-2K and validate the classifications of disease activity based on SLE-DAS in terms of PROs. METHODS: We assessed generic quality of life (QoL) using the Medical Outcome Survey 36-Item Short-Form Health Survey (SF-36), disease-specific QoL using the lupus patient-reported outcome tool (LupusPRO), burden of symptoms using the SLE Symptom Checklist (SSC), patient global assessment (PtGA) and physician global assessment (PhGA). RESULTS: Of the 335 patients with SLE, the magnitudes of the mean absolute error, root mean square error, Akaike information criterion, and Bayesian information criterion were comparable for most PROs between the SLE-DAS and SLEDAI-2K. In contrast, SLEDAI-2K had a higher predictive value for health-related QoL of LupusPRO and PtGA than SLE-DAS. Low disease activity, Boolean and index-based remission and categories of disease activity (remission, mild and moderate/severe activity) were significantly associated with health-related QoL in LupusPRO, SSC and PhGA, but not SF-36 or PtGA. CONCLUSION: No clear differences were identified in the use of the SLE-DAS over the SLEDAI-2K in assessing PROs in patients with SLE. The classification of disease activity based on the SLE-DAS was validated against several PROs. SLE-DAS and its categories of disease activity effectively explain some of the PROs.

Increased frequency of hospital admissions with active systemic lupus erythematosus disease activity defined by two different disease activity indices: A cohort study.

The objective of this cohort study was to evaluate the association between the frequency of hospital admissions and disease activity, as defined by two different disease activity measurements: the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) and the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K), in adult patients with systemic lupus erythematosus (SLEs). Patients with SLE were recruited from the rheumatology outpatient department of a regional hospital in southern Taiwan. SLE-DAS and SLEDAI-2K were used to define SLE disease activity and the cause of hospital admissions was identified by a rheumatologist based on medical records. A generalized linear model (GLM) with gamma distribution and log-linked function was used to analyze variables associated with the frequency of admission. The mean frequency of hospitalization was 0.34 times per year for all-cause and 0.21 times per year for SLE-related admission. Multivariate GLM analysis showed that moderate/severe SLE disease activity defined by SLE-DAS was associated with an increased frequency of all-cause and SLE-related hospital admissions while adjusting for other covariates. Moderate/severe SLE disease activity defined by SLEDAI-2K was only significantly associated with an increased frequency of all-cause hospitalization. When steroid dosage was included in the model, moderate/severe SLE disease activity defined by the SLE-DAS remained significantly associated with SLE-related hospital admissions (p = 0.032). In conclusion, disease activity defined by the SLE-DAS, but not SLEDAI-2K was associated with an increased frequency of SLE-related hospitalization. Steroid dosage, a lower educational level, and smoking were associated with an increased frequency of hospital admissions, whereas underweight and alcohol use were associated with a decreased frequency of hospital admissions. Rheumatologists should promptly control SLE disease activity of their patients, provide them with adequate health education, and maintain steroid doses to as low as possible to reduce the risk of hospital admissions.

Performance of a New Instrument for the Measurement of Systemic Lupus Erythematosus Disease Activity: The SLE-DAS.

Systemic lupus erythematosus (SLE) is a chronic systemic autoimmune disease that affects multiple organ systems and manifests in a relapsing-remitting pattern. Consequently, it is paramount for rheumatologists to assess disease activity, identify flare-ups, and establish treatment goals for patients with SLE. In 2019, the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) was introduced as a novel tool for measuring disease activity. This tool refines the parameters of the established SLE Disease Activity Index 2000 (SLEDAI-2K) to enhance the assessment process. This review aims to provide an introduction to the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) and summarizes research on its development, its comparison with existing disease activity measures, and its performance in clinical settings. Literature searches on PubMed using the keyword "SLE-DAS" were conducted, covering publications from March 2019 to September 2023. Studies that compared SLE-DAS with other SLE disease activity measurement tools were reviewed. Findings indicated that SLE-DAS consistently performs on par with, and sometimes better than, traditional measures in assessing clinically meaningful changes, patient improvement, disease activity, health-related quality of life, hospitalization rates, and disease flare-ups. The association between SLE-DAS and mortality rates among patients with SLE, however, remains to be further explored. Although SLE-DAS is a promising and potentially effective tool for measuring SLE disease activity, additional research is needed to confirm its effectiveness and broaden its clinical use.

Definition of low disease activity state based on the SLE-DAS: derivation and validation in a multicentre real-life cohort.

OBJECTIVES: To derive and validate a definition of low disease activity (LDA) for SLE based on the SLE Disease Activity Score (SLE-DAS), in a real-life multicentre cohort of SLE patients. METHODS: Derivation was conducted using data from a monocentric cohort of SLE (Portugal), and validation was performed in a multicentre cohort (Italy, France and Spain). The Lupus Low Disease Activity State (LLDAS) was used as comparator. We applied receiver operating characteristics curve analysis against the LLDAS to determine the cut-off of SLE-DAS for LDA using bootstrap methodology. In a second step, we tested a definition of SLE-DAS LDA that included: (i) the statistically derived SLE-DAS upper threshold for LDA and (ii) prednisone dose ≤7.5 mg/day. In the multicentre validation cohort, we assessed the classification performance of this SLE-DAS LDA definition. RESULTS: We included 774 patients, 300 in the derivation and 474 in the validation cohort. In the derivation cohort, the optimal cut-off to identify patients in LLDAS was SLE-DAS ≤2.48, presenting an area under the curve of 0.965 (95% CI 0.935, 0.994). When applied to the multicentre validation cohort, the SLE-DAS LDA definition showed a sensitivity of 97.1% and a specificity of 97.7% for LLDAS and an almost perfect agreement (Cohen's Kappa = 0.933; P < 0.001). McNemar's test found no significant differences between the two definitions (P = 0.092). CONCLUSION: The SLE-DAS LDA is a validated, accurate and easy-to-use definition for classifying SLE patients in LDA state.

Derivation and validation of the SLE Disease Activity Score (SLE-DAS): a new SLE continuous measure with high sensitivity for changes in disease activity.

OBJECTIVES: To derive and validate a new disease activity measure for systemic lupus erythematosus (SLE), the SLE Disease Activity Score (SLE-DAS), with improved sensitivity to change as compared with SLE Disease Activity Index (SLEDAI), while maintaining high specificity and easiness of use. METHODS: We studied 520 patients with SLE from two tertiary care centres (derivation and validation cohorts). At each visit, disease activity was scored using the Physician Global Assessment (PGA) and SLEDAI 2000 (SLEDAI-2K). To construct the SLE-DAS, we applied multivariate linear regression analysis in the derivation cohort, with PGA as dependent variable. The formula was validated in a different cohort through the study of: (1) correlations between SLE-DAS, PGA and SLEDAI-2K; (2) performance of SLEDAI-2K and SLE-DAS in identifying a clinically meaningful change in disease activity (ΔPGA≥0.3); and (3) accuracy of SLEDAI-2K and SLE-DAS time-adjusted means in predicting damage accrual. RESULTS: The final SLE-DAS instrument included 17 items. SLE-DAS was highly correlated with PGA (r=0.875, p<0.0005) and SLEDAI-2K (r=0.943, p<0.0005) in the validation cohort. The optimal discriminative ΔSLE-DAS cut-off to detect a clinically meaningful change was 1.72. In the validation cohort, SLE-DAS showed a higher sensitivity than SLEDAI-2K (change ≥4) to detect a clinically meaningful improvement (89.5% vs 47.4%, p=0.008) or worsening (95.5% vs 59.1%, p=0.008), while maintaining similar specificities. SLE-DAS performed better in predicting damage accrual than SLEDAI-2K. CONCLUSION: SLE-DAS has a good construct validity and has better performance than SLEDAI-2K in identifying clinically significant changes in disease activity and in predicting damage accrual.

What is the best instrument to measure disease activity in SLE? - SLE-DAS vs Easy BILAG.

Systemic lupus erythematosus (SLE) is a heterogeneous condition making assessment of disease activity challenging. However, thorough assessment is essential to evaluate patients longitudinally, to guide therapeutic decisions, and for clinical trials. Currently, the most popular disease activity index in clinical practice and trials is SLEDAI-2K. Its main advantage is ease of use, but significant weaknesses of SLEDAI-2K are omission of several serious manifestations, inability to capture change within an organ system, and fixed severity weightings that are often inappropriate. Recently several groups have developing improved tools. We report here the debate held at CORA meeting on this issue. SLE-DAS includes 17 weighted clinical and laboratory parameters including continuous measures in 4 items with an online calculator. A higher sensitivity to change compared to SLEDAI-2K has been demonstrated in its validation studies. Easy BILAG is an improved format of the BILAG-2004 that retains its content but greatly simplified. Its scoring using a single-page form that incorporates concise definitions for key terms next to clinical items. Easy-BILAG demonstrates higher accuracy and less variability and increased and better user feedback compared to the standard BILAG-2004 format. Both the indices discussed at CORA showed an advantage in measuring disease activity compared to SLEDAI.

Assessment of disease activity and damage in SLE: Are we there yet?

Systemic Lupus Erythematosus is a systemic autoimmune disease characterized by a great heterogenicity in course and clinical manifestations. Although prognosis improved in the last decades of the 20th century, mortality remains higher than in the general population and uncontrolled disease activity and therapy-related adverse effects have been identified as major contributors to damage accrual and poor outcomes. Assessment of disease activity and damage in SLE represents a great challenge even to the expert rheumatologist. Global disease activity indices are tools developed to assess activity across multiple organ systems. Several disease activity indices have been developed over the years, each with its own strengths and weaknesses, and knowing them is essential for understanding research studies, such as clinical trials, in which they are used. Organ-specific activity indices have been developed concurrently to represent organ involvement such as glomerulonephritis, cutaneous and musculoskeletal lupus manifestations. Regarding damage, the SLICC/ACR damage index has proven to be an effective tool for damage accrual assessment, yet not devoid of drawbacks. This review provides an overview of the most frequently utilized indices developed for the assessment of activity and damage in SLE highlighting their pros and cons when applied to the research and clinical setting.

SLE-DAS in the First Trimester of Gestation Predicts Maternal Lupus Flares Later in Pregnancy.

Introduction: Systemic Lupus Erythematosus (SLE) mainly occurs during childbearing age. Remission or low disease activity state (LDAS) before conception are recommended by experts to achieve a favourable lupus pregnancy outcome but little is known on the best way to evaluate remission or activity status during pregnancy. Objectives: We tested SLE-disease activity score (SLE-DAS) in the first trimester as predictor of maternal flares and obstetrical complications in 2nd and 3rd trimester in a cohort of SLE pregnant women. Patients and Methods: Inclusion criteria were: 1) women ≥ 18 years; 2) affected with SLE (SLICC 2012); 3) enrolled in two referral centers (Italy and France) 4) with an ongoing singleton pregnancy at 12 weeks (only one pregnancy per patient). Disease activity was assessed at first trimester of pregnancy, using SLE-pregnancy disease activity index (SLEPDAI) and retrospectively applying SLE-DAS. Maternal lupus flares at 2nd and 3rd trimester were defined by the SELENA-SLEDAI Flare Index (SFI). Adverse pregnancy outcome (APO) included: fetal and neonatal death, placental insufficiency with premature delivery <37 weeks, and small for gestational age (SGA) (≤3rd percentile). Results: We included 158 pregnant patients affected with SLE. At first trimester the median SLEPDAI (IQR) was 2 (0-4) and the median SLE-DAS (IQR) 1.32 (0.37-2.08). At least one flare occurred in 25 (15.8%) women during the 2nd and 3rd trimester. APO occurred in 19 (12.0%) patients. A significant correlation between SLE-DAS and SLEPDAI was found in this cohort (Spearman's ρ = 0.97, Figure 1). At multivariate analysis, both SLE-DAS and SLEPDAI predicted maternal flares (adjOR = 1.2; 95% CI = 1.0-1.3, p = 0.02; adjOR 1.3, 95% CI = 1.1-1.6 per unit increase, p = 0.01, respectively). SLE-DAS and SLEPDAI were associated with APO at univariate analysis (p = 0.02). Conclusions: SLE-DAS was highly correlated with SLEPDAI and its use in the first trimester predicted maternal flares in the 2nd and 3rd trimester, making SLE-DAS a reliable instrument to measure SLE activity during pregnancy.

Validity of systemic lupus erythematosus disease activity score (SLE-DAS) for definition of lupus low disease activity state (LLDAS).

INTRODUCTION: SLE disease activity score (SLE-DAS) is a novel, rapid, continuous and comprehensive score that overcomes the drawbacks of SLEDAI-2 K. Low lupus disease activity state (LLDAS) has been targeted as an endpoint in many clinical trials and as a favourable outcome in clinical practice. Therefore, our objective in the current study is to evaluate the validity of SLE-DAS for defining LLDAS as an objective in the treat-to-target strategy. METHODS: A cross-sectional study was carried out on 117 SLE patients who were diagnosed according to Systemic Lupus International Collaborating Clinics (SLICC) classification criteria for SLE. Patients were evaluated for disease activity by both SLEDAI-2 K and SLE-DAS. Additionally, patients were divided according to the SLEDAI-2 K-derived LLDAS definition into two groups: low disease activity (LDA) group and high disease activity (HDA) group. The validity of SLE-DAS for the definition of LLDAS was evaluated in comparison to SLEDAI-2 K. RESULTS: SLE-DAS shows highly significant positive correlation (r = 0.743, p < 0.001) with SLEDAI-2 K. The ROC curve revealed that SLE-DAS is valid for the assessment of activity with the best detection of LLDAS was at 6.62 with 95.5% sensitivity, 79.3% specificity and 89.6% accuracy. Moreover, it had a good agreement with the SLEDAI-2 K-derived definition of LLDAS (k = 0.765, p < 0.001). CONCLUSION: SLE-DAS is a valid score for the definition of LLDAS which can be used in the clinical practice as a simple and precise standalone criterion. Key Points • Correlation between SLEDAI-2K and SLE-DAS revealed a high significance. • Identify SLE-DAS cut-off 6.62 for the definition of LLDAS. • There is a good agreement between SLEDAI-2K-derived definition of LLDAS and SLE-DAS definition.