Assessment of Cognitive Impairment in Systemic Lupus Erythematosus Using the Mini-Mental Status Exam and the Montreal Cognitive Assessment Test-Filipino Version
Bibliographic record
Abstract
Introduction: Cognitive impairment (CI) in patients with systemic lupus erythematosus (SLE) presents with or without overt signs of central nervous involvement. The prevalence of CI is variable, ranging from 19-80%. It is often overlooked, leading to high healthcare costs and productivity loss. The usual tools for detection are expensive, time-consuming and not locally available. Detection of CI using the Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment Test (MoCA) is more clinically relevant and practical. The objectives of this study are to determine the prevalence of CI in SLE patients using MMSE/MoCA, to determine the degree of impairment in the different cognitive domains, and to characterize patients with CI in terms of disease activity, education, and employment. Methods: This is a cross-sectional study of 62 SLE patients, 19 years or older, at a rheumatology clinic. Demographic and disease characteristics were collected. The validated Filipino versions of the MMSE/MoCA test were administered. Descriptive and non-parametric statistics were applied. Results: Most patients are female (96.77%), below collegiate level of education (58.06%), and unemployed (70.97%). Mean disease duration is 8.92 (SD±7.03) years. Mean age at diagnosis is 28 (SD±10.30) years. Hypertension is the most common co-morbidity. Most have low lupus disease activity or are in remission (80.65%). Most are on prednisone (72.58%), with an average dose of 11.88mg/day (SD±10.66). The prevalence of CI is 38.71% (MMSE-P) and 77.42% (MoCA-P). The presence of CI is not related to educational level, employment, and disease activity. Conclusion: Cognitive impairment (CI) is common in this cohort of SLE patients. Disease activity, level of education and employment do not seem to affect its occurrence. The MMSE-P and MoCA-P are rapid tools to assess the presence of CI and should be used in clinical practice to improve the quality of care for patients with lupus. Keywords: systemic lupus erythematosus, cogni tive impairment, mini mental state examination, montreal cognitive assessment test, neuropsychiatric lupus, cns lupus, Philippines
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".