Risk factors and lifelong impact of community-acquired pneumonia in congenital heart disease
Bibliographic record
Abstract
INTRODUCTION: The prevalence of congenital heart disease (CHD) in adults is rising necessitating a greater understanding of acquired diseases such as community-acquired pneumonia, which remains a leading cause of age-related mortality and morbidity in the general population. We hypothesise that the CHD population, given cardiopulmonary mechanics and altered immune function, bears a uniquely high risk for pneumonia-related hospitalisations and mortality. METHODS: A countrywide cohort study was performed to calculate the relative risk and cumulative incidence of pneumonia hospitalisations and resultant 30-day mortality amongst the adult CHD population, matched 1:10 with non-CHD persons by gender, age, and adjusted for comorbidities. Cox proportional hazard regression quantified the impact of CHD severity and extracardiac defects. RESULTS: The CHD cohort includes 17,162 adults. The majority demonstrate mild/moderate CHD complexity. The cumulative incidence of pneumonia hospitalisation was higher for adults with CHD (hazard ratio 1.90; 95% confidence interval: 1.74-2.06) than the comparison cohort. This risk was increased for those with extracardiac defects or a syndrome (hazard ratio: 4.34; 95% confidence interval: 3.39-5.54). Additionally, CHD individuals with severe/univentricular subtypes demonstrate a heightened risk compared to the non-CHD cohort (hazard ratio: 2.35; 95% confidence interval: 1.94-2.84), as well as compared to those with mild/moderate CHD (hazard ratio: 1.28; 95% confidence interval: 1.07-1.53). In addition, pneumonia hospitalisation mortality was elevated above the comparison population with a 30-day mortality rate ratio of 1.31 (95% confidence interval: 1.00-1.73). CONCLUSION: Adults with CHD are at elevated risk of pneumonia hospitalisations and pneumonia-associated mortality. This risk is further elevated in those with severe CHD and extracardiac defects.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".