THE SYSTEMIC LUPUS INTERNATIONAL COLLABORATING CLINICS FRAILTY INDEX (SLICC- FI) PREDICTS WORSENING LUPUS QUALITY OF LIFE (LUPUSQOL) IN THE ALMENARA LUPUS COHORT.
Bibliographic record
Abstract
O018 / #78 Topic: AS19 - Patient-Reported Outcome Measures ABSTRACT CONCURRENT SESSION 02: SLE METRICS – IMPROVING OUTCOMES & MEASURES 22-05-2025 1:40 PM - 2:40 PM Background/Purpose The SLICC-FI was developed to ascertain frailty in lupus patients. The aim of this study was to evaluate the SLICC- FI as a predictor of quality of life in patients from a prevalent Latin American Mestizo lupus cohort. Methods Patients from a single-center lupus cohort were included in these analyses. Health-related quality of life was ascertained with the LupusQoL. Frailty was ascertained using the SLICC- FI. Results are shown as mean and standard deviation or number and percentages, as appropriate. Generalized estimating equations were performed, using each domain of the LupusQoL as an outcome in the subsequent visit and the SLICC- FI (as a continuous variable) in the previous visit. Alternative analyses were also carried out including the SLICC- FI as a categorical variable (robust, less fit, least fit, and frail). In both approaches, the multivariable models were adjusted for possible confounders (age at diagnosis, gender, socioeconomic status, ethnicity, Systemic Lupus Erythematosus Disease Activity Index-2000 (SLEDAI-2K), Systemic Lupus Erythematosus International Collaborating Clinics/American College of Rheumatology Damage Index (SLICC/ACR DI), disease duration at baseline, prednisone daily dose, antimalarial and immunosuppressive drug use, and the same domain the LupusQoL in the previous visit). Statistical significance was p<0.05. Results Four hundred twenty-eight patients and 2645 visits were included in the study, these patients were followed for 4.71 (3.52) years; 392 (91%) were women and the age of diagnosis was 35.2 (13.4) years. At baseline, the disease duration was 7.2 (6.6) years, while SDI and SLICC-FI score were 1.0 (1.3) and 0.17 (0.05), respectively. Sixty-two patients (14.7%) were classified as frail, 325 (77.0%) were classified as least fit, 35 (8.3%) were classified as less fit, and no patient was classified as robust. The mean of the LupusQoL domains for physical function was 66.5 (23.8), for pain 67.9 (26.6), for planning 69.3 (28.9), for intimate relationship 58.6 (35.4), for burden to others 50.4 (31.2), for emotional health 64.9 (24.7), for body image 61.5 (25.8), and for fatigue 60.6 (26.5). In the main analyses, after adjusting for possible confounders, the SLICC- FI scores continued to predict worse LupusQoL in the physical function, pain, planning, and emotional health domains; these data are depicted in Table 1. In the alternative analyses, frail and least fit categories predicted worse LupusQoL in the domains of physical function, pain, and planning; in turn, frail predicted worse fatigue, compared to less fit, after adjustment by possible confounders; these data are depicted in Table 2. Table 1: The predictive value of the SLICC-FI (as a continuous variable) on HRQoL in SLE patients. Table 2: The predictive value of the SLICC-FI (as a categorical variable) on HRQoL in SLE patients Conclusions The SLICC-FI predicts worse HRQOL as measured by LupusQoL in a prevalent Latin American lupus cohort, supporting the relevance of this index in the evaluation of these patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".