Pediatric Pleural Empyema in the Province of Quebec: Analysis of a 10-Fold Increase Between 1990 and 2007
Bibliographic record
Abstract
BACKGROUND: Although the frequency of pneumonia has decreased over time, an increase in pleural empyema has been observed in different settings worldwide. This study assessed the epidemiology of community-acquired pediatric pleural empyema in the province of Quebec through validation of cases found in a hospitalization discharge database. METHODS: We used the national administrative database of hospitalization to identify children (6 months-14 years) hospitalized for pleural empyema or pleural effusion with drainage from January 1990 until December 2007 and reviewed their medical charts. Patients with pleural effusion secondary to chest trauma, thoracic surgery, malignancies, cardiac failure, or metabolic disorders were excluded. RESULTS: Predictive positive value (PPV) of empyema code in any position among discharge diagnostics in the administrative database was 86.5% (95% confidence interval: 81.9%-90.3%). After chart revision, 292 met the inclusion criteria. Age-adjusted incidence of pleural empyema in the pediatric population increased from 0.23 in 1990 to 4.01/100,000 person-years in 2007. A bacterial pathogen was identified in 46.5%; Streptococcus pneumoniae (Sp) (42%) and S pyogenes (30%) were most frequent. There was no obvious change in the PPV and proportions of children with chronic disease or asthma and in identified pathogens over time, but an increase in pre-admission respiratory symptoms duration (from 3.8 days to 5.7) and nonsteroidal anti-inflammatory drug use (from 0% to 19%) was observed. CONCLUSIONS: From 1990 to 2007, we observed a 10-fold increase in the incidence of pediatric hospitalizations associated with pleural empyema. This increase preceded the introduction of a pneumococcal conjugated vaccine program in Quebec. Sp remained the major pathogen identified.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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".