Prevalence, Risk Factors, and Mortality for Ventilator-Associated Pneumonia in Middle-Aged, Old, and Very Old Critically Ill Patients*
Bibliographic record
Abstract
OBJECTIVE: We investigated the epidemiology of ventilator-associated pneumonia in elderly ICU patients. More precisely, we assessed prevalence, risk factors, signs and symptoms, causative bacterial pathogens, and associated outcomes. DESIGN: Secondary analysis of a multicenter prospective cohort (EU-VAP project). SETTING: Twenty-seven European ICUs. PATIENTS: Patients who were mechanically ventilated for greater than or equal to 48 hours. We compared middle-aged (45-64 yr; n = 670), old (65-74 yr; n = 549), and very old patients (≥ 75 yr; n= 516). MEASUREMENTS AND MAIN RESULTS: Ventilator-associated pneumonia occurred in 103 middle-aged (14.6%), 104 old (17.0%), and 73 very old patients (12.8%). The prevalence (n ventilator-associated pneumonia/1,000 ventilation days) was 13.7 in middle-aged patients, 16.6 in old patients, and 13.0 in very old patients. Logistic regression analysis could not demonstrate older age as a risk factor for ventilator-associated pneumonia. Ventilator-associated pneumonia in elderly patients was more frequently caused by Enterobacteriaceae (24% in middle-aged, 32% in old, and 43% in very old patients; p = 0.042). Regarding clinical signs and symptoms at ventilator-associated pneumonia onset, new temperature rise was less frequent among very old patients (59% vs 76% and 74% for middle-aged and old patients, respectively; p = 0.035). Mortality among patients with ventilator-associated pneumonia was higher among elderly patients: 35% in middle-aged patients versus 51% in old and very old patients (p = 0.036). Logistic regression analysis confirmed the importance of older age in the risk of death (adjusted odds ratio for old age, 2.1; 95% CI, 1.2-3.9 and adjusted odds ratio for very old age, 2.3; 95% CI, 1.2-4.4). Other risk factors for mortality in ventilator-associated pneumonia were diabetes mellitus, septic shock, and a high-risk pathogen as causative agent. CONCLUSIONS: In this multicenter cohort study, ventilator-associated pneumonia did not occur more frequently among elderly, but the associated mortality in these patients was higher. New temperature rise was less common in elderly patients with ventilator-associated pneumonia, whereas more episodes among elderly patients were caused by Enterobacteriaceae.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| 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".