Co-morbidity in older patients with COPD—its impact on health service utilisation and quality of life, a community study
Bibliographic record
Abstract
BACKGROUND: co-morbidity has been shown to be an important consideration in COPD with an estimated prevalence of 84%. In the Netherlands, a weak association between health-related quality of life and lung function has been found, with a closer link to co-morbidity. OBJECTIVE: to determine the influence of co-morbidity on quality of life and health service utilisation in older patients with COPD in the community. DESIGN: observational cohort study. SETTING: general practice in the North East of England that has a list size of 8300. PARTICIPANTS: 27 patients aged 70 years or above on the practice COPD register. MEASUREMENTS: data on age and sex, spirometry to confirm the diagnosis of COPD, questionnaires to assess quality of life, activities of daily living (ADLs) and co-morbidity. Health service utilisation was recorded by the number of primary and secondary care attendances in the previous year. RESULTS: 10 had mild, 12 had moderate, and 5 had severe disease. Mean age was 76 years. Quality of life (QOL), co-morbidity and health service utilisation measurements were not significantly different between COPD severity groups. There was a significant positive correlation between increasing co-morbidity and poor QOL (r = 0.45, P < 0.05), and significant negative correlation between co-morbidity and ADL scores (scored inversely), r = -0.54, P < 0.05. Significant negative correlation was found between co-morbidity and primary care attendances (r = -0.41, P < 0.05) and significant positive correlation between worsening QOL and secondary care attendances (r = 0.46, P < 0.05). CONCLUSIONS: co-morbidity has an important part to play in COPD assessment, more accurately reflecting QOL in our population. Health service utilisation did not correlate to forced expiratory volume (FEV1)-defined COPD severity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".