Cardiovascular Complications and Short-term Mortality Risk in Community-Acquired Pneumonia
Bibliographic record
Abstract
BACKGROUND.: Previous reports suggest that community-acquired pneumonia (CAP) is associated with an enhanced risk of cardiovascular complications. However, a contemporary and comprehensive characterization of this association is lacking. METHODS.: In this multicenter study, 1182 patients hospitalized for CAP were prospectively followed for up to 30 days after their hospitalization for this infection. Study endpoints included myocardial infarction, new or worsening heart failure, atrial fibrillation, stroke, deep venous thrombosis, cardiovascular death, and total mortality. RESULTS.: Three hundred eighty (32.2%) patients experienced intrahospital cardiovascular events (CVEs) including 281 (23.8%) with heart failure, 109 (9.2%) with atrial fibrillation, 89 (8%) with myocardial infarction, 11 (0.9%) with ischemic stroke, and 1 (0.1%) with deep venous thrombosis; 28 patients (2.4%) died for cardiovascular causes. Multivariable Cox regression analysis showed that intrahospital Pneumonia Severity Index (PSI) class (hazard ratio [HR], 2.45, P = .027; HR, 4.23, P < .001; HR, 5.96, P < .001, for classes III, IV, and V vs II, respectively), age (HR, 1.02, P = .001), and preexisting heart failure (HR, 1.85, P < .001) independently predicted CVEs. One hundred three (8.7%) patients died by day 30 postadmission. Thirty-day mortality was significantly higher in patients who developed CVEs compared with those who did not (17.6% vs 4.5%, P < .001). Multivariable Cox regression analysis showed that intrahospital CVEs (HR, 5.49, P < .001) independently predicted 30-day mortality (after adjustment for age, PSI score, and preexisting comorbid conditions). CONCLUSIONS.: CVEs, mainly those confined to the heart, complicate the course of almost one-third of patients hospitalized for CAP. More importantly, the occurrence of CVEs is associated with a 5-fold increase in CAP-associated 30-day mortality.
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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 | 0.000 | 0.000 |
| 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".