Lung Function of Children Following an Intensive Care Unit Admission for Asthma
Bibliographic record
Abstract
Background: To determine the lung function of children admitted to the intensive care unit (ICU) for a severe asthma exacerbation in the medium- to long-term following hospital discharge. Methods: We performed a retrospective chart review of children ≥6 years of age admitted to the ICU for a severe asthma exacerbation at a tertiary care center from January 1, 2000, to December 31, 2013. Lung function was ascertained during outpatient follow-up visits at 3–12 months and 12–24 months postdischarge. A total of 72 subjects met the inclusion criteria. Results: Subjects were predominantly boys (56.9%) and had a mean (standard deviation [SD]) age at admission of 10.3 years (3.4 years). The median (interquartile range) length of stay in the ICU was 1 day (1–3 days). Thirty-eight and 28 subjects performed pulmonary function tests with acceptable technique at the 3–12 months and 12–24 months postdischarge visits, respectively. At 3–12 months, the mean (SD) predicted forced expiratory volume in 1 s (FEV 1 ) and forced expiratory flow between 25% and 75% of vital capacity (FEF 25–75 ) percent were 95.9 (16.7) and 76.7 (25.8), respectively, and 97.4 (17.6) and 70.5 (24.9), respectively, at 12–24 months. FEV 1 /forced vital capacity (FEV 1 /FVC) was 81.7 (8.3) at 3–12 months and 79.3 (7.7) at 12–24 months. A paired t -test on 20 subjects who performed acceptable spirometry at both visits showed a significant intraindividual decrease in FEV 1 ( P = 0.008), FEF 25–75 ( P = 0.02), and FEV 1 /FVC ( P = 0.01) between the 2 time points. Conclusion: Although prospective studies are required to confirm our findings, our study suggests that children admitted to the ICU for severe asthma exacerbations may be at risk for declining pulmonary function in the medium- to long-term postdischarge.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".