Kronik Obstrüktif Akciğer Hastalığı Olan Geriatrik Bireylerde Dispne, Bakım Bağımlılığı ve Kırılganlık Arasındaki İlişki
Bibliographic record
Abstract
The aim of this descriptive and cross-sectional study was to examine the correlation between dyspnea, care dependency, and frailty in older individuals with chronic obstructive pulmonay disease (COPD). This study was carried out in 3 centers, including internal medicine and geriatric unit of Hacettepe University Adult Hospital, chest diseases clinic and outpatient clinics of Gazi University Health Research and Application Center, Health Sciences University Gulhane Training and Research Hospital between October 1, 2019 and April 1, 2020. A total of 105 patients who were older than 65 years and diagnosed with COPD was included in this study. Descriptive statistics, Spearman Correlation test, Mann Whitney U and Kruskal Wallis test were utilized in data analysis. Data were collected with using Dyspnea-12 (D-12) Scale, Care Dependency Scale (CDS), and Edmonton Frailty Scale (EFS). The mean age of the patients was 73.71±6.17 years and the median scores of D-12 were 24 (moderate-high), the median scores of CDS were 61 (low). The median score of EFS were 10 (moderate), and 47.5% of the patients were severe frail. A negative, strong and significant correlation was revealed between the D-12 and CDS total scores (r=-.754, p <0.05). A positive, strong and significant correlation was found between the D-12 and EFS total scores (r=0.76, p<0.01). Furthermore, a significant, negative and strong correlation was determined between the CDS and EFS total scores (r=-.838, p <0.05). Based on the study results, as dspynea severity increased, both care dependency and frailty severity of patients with COPD increased. Nurses should consider holistic approach while providing care for older patients with COPD, and are recommended to evaluate dsypnea, care depencency, and farilty parametres simultaneously.
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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) | 0.001 | 0.001 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".