OP-087 : Structural brain change and cognitive dysfunction in COPD patients
Bibliographic record
Abstract
Background: Cognitive dysfunction is an important comorbidity in COPD. But, the mechanism and associated clinical factors were not fully understood. We investigated the clinical characteristics of COPD patients with cerebral dysfunction and also analyzed the correlation with the structural brain change including cerebral cortical thickness measured by brain MRI. Methods: COPD patients over 60 years old without definite diagnosis of cognitive dysfunction and age/sex matched healthy control were recruited. Cognitive function was measured by Korean version of Montreal cognitive assessment (MoCA-K) and mini-mental state evaluation(MMSE-DS). Clinical manifestations including lung function, history of acute exacerbation, degree of dyspnea, quality of life(QOL) score, emotional status, and presence of comorbidity were also investigated. The cerebral cortical thickness was measured and analyzed using functional analytic software(CAT Toolbox for SPM) after performing 3 dimension functional brain MRI. Results: 50 COPD patients and 30 healthy control (mean age: 70 year, male 90%) were included. Compared to healthy control, COPD patients showed lower BMI, more comorbidity, more depression and poor QOL. COPD patient showed more cognitive dysfunction (20/49 vs. 6/30) without difference in risk factors for stroke. Compared to healthy control, COPD patient showed thinner cerebral cortical thickness in left frontal pole, right medial frontal pole, right posterior insular and both, entorhinal cortices and higher cortical thickness at both superior parietal cortices and both visual cortices. But, the difference in the cortical thickening showed no correlation with other clinical indices. Conclusion: In our study, COPD patients showed higher prevalence of cognitive dysfunction with close correlation with various clinical factors of COPD. And, cerebral cortical thickness in the specific cerebral areas showed significant differences between COPD and healthy control, the clinical meaning need further investigation.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".