Existence and relevance of fulminant severe community-acquired pneumonia
Bibliographic record
Abstract
BACKGROUND: Severe community-acquired pneumonia (sCAP) is a major contributor to global hospital mortality, with some patients rapidly progressing to death within a few days due to acute respiratory distress syndrome (ARDS), septic shock, or multiorgan failure (MOFS). Despite the significant health burden, these cases remain poorly defined, often overlooked in clinical practice, and insufficiently addressed in existing guidelines. METHODS: In this multicenter retrospective study, we analyzed 1,517 hospitalized patients with sCAP for assessing the incidence of fulminant pneumonia -defined as sCAP leading to death within 7 days from hospital admission- and to identify factors associated with either an increased or reduced risk of unfavorable outcome. RESULTS: Our findings revealed a 5.9% incidence of fulminant pneumonia, with early death primarily due to ARDS (93%), sepsis (70%), and MOFS (73%). Older age, obesity, diabetes, cardiovascular disease, and elevated serum creatinine were associated with increased risk, while early corticosteroid administration was associated with a significant mortality reduction within seven days, both in the univariate and multivariate analyses (OR 0.22, CI 95% 0.12–0.38, p < 0.001). Baseline respiratory impairment and inflammatory markers were not associated with early mortality. CONCLUSION: These findings highlight the importance of recognizing sCAP as a time-dependent condition, requiring early identification and treatment of cases at risk for developing fulminant pneumonia at hospital admission. Larger studies and randomized controlled trials are necessary to validate these findings and optimize treatment strategies. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT06516601.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".