A cross sectional study on the association between new onset of psychiatric symptoms with severity of cognitive impairment in elderly patients
Bibliographic record
Abstract
Background: Neuropsychiatric impairments play significant roles throughout the course of cognitive decline mainly in older adults with dementia or mild cognitive impairment (MCI). This study was aimed to find the association between psychiatric comorbidities and severity of cognitive impairment in elder patients presented with new onset of Psychiatric Symptoms.Methods: A cross sectional study was done among elder subjects (≥60 years of age) presented with new onset of psychiatric symptoms during one year period. Mini International neuropsychiatric interview and Montreal Cognitive Assessment scale were used for psychiatric diagnosis and severity of cognitive impairment grading, respectively. Association between psychiatric comorbidities and MCI was statistically analyzed.Results: Total 67 subjects were included in the study. Analysis of the psychiatric diagnosis revealed that major depressive episode (52.2%) was the most prevalent psychiatric disorder among the study population followed by Psychotic disorders (23.9%). Generalized anxiety disorder contributed to 19.4% of the total study population. Significant association (p<0.002) was identified between the severity of cognitive impairment and the psychiatric comorbidities.Conclusions: A significant association was identified between the severity of MCI and the psychiatric comorbidities. Major depressive episode was the most prevalent psychiatric disorder followed by psychotic disorders and generalized anxiety disorder.
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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 | 0.011 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".