| MEASUREMENT PROPERTIES | |
| Limitations | <5 European languages (English) |
| Observations |
This index records disease manifestations occurring within the 10 days preceding assessment. |
| 1. RELIABILITY | |
| A. Internal Consistency | Not Tested |
| Cronbach's (Describe) | |
| B. Reliability intraobserver or test-retest | Tested |
| Continuous scores: intraclass correlation coefficient (ICC) Dichotomus: Cohen kappa (Describe) |
The reliability of the SLEDAI 2K was demonstrated in a multicenter and multiethnic study of 93 patients with SLE, with an agreement for each of the items between 81.7% and 100%. SLEDAI-2K has been validated for a 30-day window, in one hundred forty nine consecutive lupus patients that were seen over 9 weeks at the University of Toronto Lupus Clinic. In all but one patient, there was agreement between the SLEDAI-2K 10 and 30 days. Thus SLEDAI-2K 30 days is similar to SLEDAI-2K 10 days, both in patients in remission and with a spectrum of disease activity levels. Touma Z, Urowitz MB, Gladman DD. SLEDAI-2K for a 30-day window. Lupus 2010;19:49-50. To assess its reliability among less experienced clinicians, a reliability study with 3 rheumatology trainees and 9 patients with SLE according to a Latin square design was conducted. SLEDAI easily distinguished between patients (p = 0.0009), and physician variability was not statistically significant (p = 0.27). Intra observer agreement was 98.0 %. Hawker G et al. A Reliability Study of SLEDAI: A Disease Activity Index for Systemic Lupus Erythematosus (SLE). J Rheumatol 1993;20:657-660. |
| C. Reliability interobserver or Measurement error | Tested |
| Standard error of measurement (SEM), smallest detectable change (SDC) or Limits of agreement (LoA) (Describe) |
In the same study comparing rheumatology trainees and patients with SLE according to a Latin square design, interobserver reliability was 78.7%. In another study, ten patients with SLE, representing a spectrum of damage and activity, were included. Each patient was examined by 6 of 10 physicians from 5 countries. Analysis of variance for the SLEDAI revealed that it was able to detect differences among patients (P < 0.001), while no observer or order effects were detected in physicians and patients (P = 0.467 and P = 0.498, respectively). Gladman DD, et al. The reliability of the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index in patients with systemic lupus erythematosus. Arthritis Rheum. 1997 May;40(5):809-13. 0. |
| 2. VALIDITY | |
| A. Content validity: face validity | Tested |
| Expert opinion (relevance and comprehensiveness) (Describe) |
For the SLEDAI, a panel identified 24 variables as important factors in a disease activity index. These were used to generate 574 patient profiles, which were rated on a disease activity scale of 0-10 by 14 rheumatologists. A second rating of 10 of the profiles yielded scores that were not significantly different from the first, indicating that experienced clinicians can reliably make global estimates of disease activity. |
| B. Construct Validity: Structural validity |
Tested |
| Hypotheses-testing | Tested |
| Cross-cultural validity | Tested |
| Brief Description |
Multiple regression models were used to estimate the relative importance of the 24 clinical variables in the physicians' global rating of disease activity. These were estimated on a "training set" of 75% of physicians' ratings, and then validated on a "testing set," consisting of the remaining 25% of physicians' ratings. The explanatory power of the models in the training set was high (R2 = 0.93). The models' regression coefficients for the organ systems were simplified for easier use in clinical practice. This generated a "weighted" index of 9 organ systems for disease activity in SLE, the SLEDAI, as follows: 8 for central nervous system and vascular, 4 for renal and musculoskeletal, 2 for serosal, dermal, immunologic, and 1 for constitutional and hematologic. |
| C. Criterion validity | Not Tested |
| Comparison with a 'gold standard' Continuous scores: correlations, ROC curves Dichotomus: Sensitivity & Specificity (Describe) |
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