Memory Performance in Patient with Systemic Lupus Erythematosus Using MoCA-Ina in Hasan Sadikin Genneral Hospital Bandung
Bibliographic record
Abstract
Background: The involvement of neuropsychiatry is reported in 6% to 91% of Systemic Lupus Erythematosus (SLE) patients. It can cause fatal morbidity and mortality. Memory impairment is one of the most common symptoms of neuropsychiatry involvement. This study aims to find out the performance of memory test in SLE patients using Indonesian version of Montreal Cognitive Assessment (MoCA-Ina).Method: This cross sectional study recruited 30 SLE patients. Cognitive abilities and patient’s memory were examined using Indonesian version of Montreal Cognitive Assessment (MoCA-Ina). Cognitive impairment was determined when total MoCA-Ina score was below 26. For memory evaluation, immediate recall or delayed recall impairment was determined when the patient failed in each memory subtests.Results: The mean of total MoCA-Ina score was 24.97 (SD±3.14). Fifty percent of the SLE patients had cognitive impairment, with the domain involved being delayed recall (86.67%), attention (60%), language (56.67%), abstraction (53.33%), and visuo-spatial/ executive function (36.67%). Most patients (86.67%) could completely repeat immediate recall. Whileonly 4 (13.33%) subjects could repeat delayed recall completely without any clue. Of the 26 SLE patients who failed to recall completely, 24 (92.3%) of them succeeded to recall completely after getting clue(s).Conclusion: Memory impairment is the most frequent cognitive impairment in SLE patients, especially in delayed recall. By using the memory subtests of MoCAIna, more than four fifth of patients with SLE was detected having delayed recall memory impairment and almost all of them could recalled completely after getting clue(s). This findings indicated that the finalstep of memory process retrieval in SLE was interrupted while being encoded, but retention pathway were stillintact.Keywords: Systemic Lupus Erythematous, Memory, MoCA-Ina
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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 | 0.000 | 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 | 0.001 | 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".