Relationship Between Cognitive Dysfunction (MoCA-INA Score) with Disease Activity, Erythrocyte Sedimentation Rate, and C-Reactive Protein in Systemic Lupus Erythematosus Patients
Bibliographic record
Abstract
BACKGROUND: Neuropsychiatric Systemic Lupus Erythematosus (NPSLE) is one of the clinical manifestations affecting the brain in SLE, which the most frequent condition was cognitive dysfunction (CD). CD has a negative impact on the quality of life of SLE patients and causes impaired social function and reduced work productivity. Previous studies regarding correlation between cognitive dysfunction with disease activity, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) showed various results. AIM: The purpose of this study was to assess the correlation of CD using MoCA- INA score with disease activity (SLEDAI-2K score), ESR and CRP in SLE patients. METHODS: A cross-sectional study design was applied in this research. The subjects of this research were SLE patients measured by MoCA-INA score, SLEDAI-2K score, ESR, and CRP. Spearman rank correlation test was applied in this study to assess the relationship of the variables. RESULT: The study subjects consisted of 53 women diagnosed with SLE with an average age of 34 years old. 49.1 % of the subjects had high school education background. There was a moderate significant correlation between MoCA-INA score and ESR (r= -0.408, p=0.002) and also to CRP (r= -0.314 p=0.022). There was no significant correlation of disease activity and MoCA-INA score (r = -0.086 p = 0.539). CONCLUSION: The low levels of ESR and CRP were associated with CD in SLE patients. KEYWORDS: cognitive dysfunction, c-reactive protein, disease activity, erythrocyte sedimentation rate, systemic lupus erythematosus.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".