Inhaled Corticosteroid Use in Chronic Obstructive Pulmonary Disease and the Risk of Hospitalization for Pneumonia
Bibliographic record
Abstract
RATIONALE: Inhaled corticosteroids are commonly prescribed to patients with chronic obstructive pulmonary disease (COPD). OBJECTIVES: To examine whether these medications might be associated with an excess risk of pneumonia. METHODS: We conducted a nested case-control study within a cohort of patients with COPD from Quebec, Canada, over the period 1988-2003, identified on the basis of administrative databases linking hospitalization and drug-dispensing information. Each subject hospitalized for pneumonia during follow-up (case subjects) was age and time matched to four control subjects. The effect of the use of inhaled corticosteroids was assessed by conditional logistic regression, after adjusting for comorbidity and COPD severity. MEASUREMENTS AND MAIN RESULTS: The cohort included 175,906 patients with COPD of whom 23,942 were hospitalized for pneumonia during follow-up, for a rate of 1.9 per 100 per year, and matched to 95,768 control subjects. The adjusted rate ratio of hospitalization for pneumonia associated with current use of inhaled corticosteroids was 1.70 (95% confidence interval [CI], 1.63-1.77) and 1.53 (95% CI, 1.30-1.80) for pneumonia hospitalization followed by death within 30 days. The rate ratio of hospitalization for pneumonia was greatest with the highest doses of inhaled corticosteroids, equivalent to fluticasone at 1,000 microg/day or more (rate ratio, 2.25; 95% CI, 2.07-2.44). All-cause mortality was similar for patients hospitalized for pneumonia, whether or not they had received inhaled corticosteroids in the recent past (7.4 and 8.2%, respectively). CONCLUSIONS: The use of inhaled corticosteroids is associated with an excess risk of pneumonia hospitalization and of pneumonia hospitalization followed by death within 30 days, among elderly patients with COPD.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".