Breathlessness in Elderly Adults During the Last Year of Life Sufficient to Restrict Activity: Prevalence, Pattern, and Associated Factors
Bibliographic record
Abstract
OBJECTIVES: To investigate relationships between age, clinical characteristics, and breathlessness sufficient to have people spend at least half a day a month in bed or to cut down on their usual activities (restricting breathlessness) during the last year of life. DESIGN: Secondary data analysis. SETTING: General community. PARTICIPANTS: Nondisabled persons aged 70 and older (N=754). MEASUREMENTS: Monthly telephone interviews were conducted to determine the occurrence of restricting breathlessness. The primary outcome was percentage of months with restricting breathlessness reported during the last year of life. RESULTS: Data regarding breathlessness were available for 548 of 589 (93.0%) participants who died (mean age 86.7, range 71-106; 38.8% male) between enrollment (March 1998 to October 1999) and June 2013; 311 of these (56.8%) reported restricting breathlessness at some point during the last year of life, but none reported it every month. Frequency increased in the months closer to death, irrespective of cause. Restricting breathlessness was associated with anxiety (0.25 percentage points greater in months with breathlessness per percentage point months reported anxiety, 95% confidence interval (CI)=0.16-0.34, P<.001), depression (0.14, 95% CI=0.05-0.24, P=.003), and mobility problems (0.07, 0.03-0.1, P<.001). Percentage months of restricting breathlessness was greater if chronic lung disease was noted at the most-recent comprehensive assessment (6.62 percentage points, 95% CI=4.31-8.94, P<.001), heart failure (3.34 percentage points, 95% CI=0.71-5.97, P=.01), and ex-smoker status (3.01 percentage points, 95% CI=0.94-5.07, P=.004) but decreased with older age (-0.19 percentage points, 95% CI=-0.37 to -0.02, P=.03). CONCLUSION: Restricting breathlessness increased in this elderly population in the months preceding death from any cause. Breathlessness should be assessed and managed in the context of poor prognosis.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| 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".