Prevalence of and factors associated with cognitive frailty in elderly patients with chronic obstructive pulmonary disease: A cross-sectional study
Bibliographic record
Abstract
The status of cognitive frailty in elderly patients with chronic obstructive pulmonary disease (COPD) and its influencing factors in China remains unclear. This study aimed to investigate the prevalence of and factors associated with cognitive frailty in elderly patients with COPD. This cross-sectional study enrolled elderly patients with stable COPD between May and November 2022 from the Respiratory Department of the First Affiliated Hospital of Zhengzhou University and the Fifth Affiliated Hospital of Zhengzhou University. Convenience sampling method was adopted. Frailty Phenotype scale, Montreal Cognitive Assessment scale, Geriatric Depression Scale, and Clinical Dementia Rating scale were used to assess the prevalence of cognitive frailty in elderly patients with COPD. Multivariable logistic regression analysis was used to explore the associated factors. A total of 406 valid questionnaires were collected, and 173 patients (35.6%) had cognitive frailty. Binary logistic regression analysis showed that sex (odds ratio [OR] = 0.009; 95%CI: 0.001-0.770; P = .038), depression (OR = 17.780; 95%CI: 1.092-289.478; P = .043), modified Medical Research Council grade 1-3 (OR = 28.394-4095.683; 95%CI: 1.086-4,592,652.211; P < .05), global initiative for chronic obstructive lung disease grade 2 and 3 (OR = 32.508-282.072; 95%CI: 1.101-12,516.874; P < .05), and frequencies of acute exacerbations of COPD and hospitalizations within 1 year of 2 times (OR = 21.907; 95%CI: 4.587-104.622; P < .001) were independently associated with cognitive frailty. The prevalence of cognitive frailty in elderly patients with stable COPD was high. Female, depression, modified Medical Research Council grade, global initiative for chronic obstructive lung disease grade, and frequencies of acute exacerbations of COPD and hospitalizations within 1 year might be the factors independently associated with cognitive frailty, educational level might be a protective associated factor for cognitive frailty.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".