Bacterial infections in acute variceal hemorrhage despite antibiotics—a multicenter study of predictors and clinical impact
Bibliographic record
Abstract
BACKGROUND AND AIMS: Current guidelines recommend antibiotic prophylaxis in all patients presenting with cirrhosis and acute variceal hemorrhage (AVH). We aimed to evaluate the characteristics and clinical impact of "early" infections (developing within 14 days) of AVH in a real-world setting. METHODS: We analyzed retrospective data from a cohort of 371 adult patients with cirrhosis and AVH all of whom had received antibiotic prophylaxis (74% men; mean age 56 years), admitted to tertiary care hospitals in Edmonton, Alberta, Canada, and Barcelona, Spain. Sensitivity analyses were presented for culture-positive (confirmed) infections. RESULTS: The mean MELD was 16. Fifty-two percent of patients received quinolones, 45% third-generation cephalosporins and 3% other antibiotics. Fourteen percent (51/371) developed an infection within 14 days of AVH. Seventy-five percent of infections were culture positive and occurred at a mean of six days from AVH. When all infections were considered, respiratory infections were the most common (53%) followed by urinary tract infections (17%) and bacteremia (16%). Resistance patterns differed between countries. Outpatient antibiotic prophylaxis (OR 5.4) and intubation (OR 2.6) were independent predictors of bacterial infection. Bacterial infection (OR 2.6) and the MELD (OR 1.2) were independent predictors of six-week mortality. CONCLUSIONS: Early bacterial infections develop in 14% of cirrhotic patients with AVH despite antibiotic prophylaxis, and have a negative impact on six-week mortality. Intubation and outpatient antibiotic prophylaxis are associated with increased risk of early bacterial infections. Patients at risk should be followed closely with prompt infection workup and local antibiogram-based expansion of antibiotic therapy in case of clinical decline.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".