Outcomes and Resource Utilization Among Patients Admitted to the Intensive Care Unit Following Acute Exacerbation of Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
PURPOSE: Chronic obstructive pulmonary disease (COPD) is a common condition, accounting for a significant number of intensive care unit (ICU) admissions. However, little is known about outcomes and costs among ICU patients admitted with acute exacerbations of COPD (AECOPD). We studied predictors of inhospital mortality and costs of ICU admissions for AECOPD. METHODS: Data were obtained from a prospectively maintained registry from 2 ICUs from 2011 to 2016, including adult patients (age ≥ 18) with an ICU discharge diagnosis of AECOPD. The primary outcome was hospital mortality. Secondary outcomes included ICU length of stay, resource utilization, total hospital costs, and cost per survivor. RESULTS: We included 390 patients, of which 27.2% died in hospital. Independent predictors of inhospital mortality included age (odds ratio [OR]: 1.95, CI: 1.58-2.67) and the presence of clinical frailty (OR: 4.12, CI: 2.26-6.95). The mean total hospital costs were Can$35 059, with a cost per survivor of Can$48 191. Factors associated with increased cost included transfer from an inpatient setting, severity of illness, and previous ICU admission. CONCLUSIONS: Approximately a quarter of patients admitted to ICU with AECOPD died during hospitalization, and these patients accrued significant costs. This study identifies important factors associated with poor outcome in this at-risk population, which has value in risk stratification and patient or family discussions addressing goals of care.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".