Association Between Proton Pump Inhibitor Use and Spontaneous Bacterial Peritonitis in Cirrhotic Patients with Ascites
Bibliographic record
Abstract
BACKGROUND: There are data suggesting a link between proton pump inhibitor (PPI) use and the development of spontaneous bacterial peritonitis (SBP) in cirrhotic patients with ascites; however, these data are controversial. OBJECTIVE: To assess whether the use of PPIs in cirrhotic patients with ascites is associated with an increased risk for SBP. METHODS: A retrospective case-control study (June 2004 to June 2010) was conducted at the Centre Hospitalier de l'Université de Montréal in Montreal, Quebec. Fifty-one cirrhotic patients admitted with paracentesis-proven SBP (≥250 neutrophils/mm3), occurring within seven days of hospital admission, met the inclusion criteria. These patients were matched 1:2 (for age, Child-Pugh class and year of admission) with 102 comparable cirrhotic patients with ascites who were admitted for conditions other than SBP. RESULTS: Patients with SBP had a significantly higher rate of pre-hospital PPI use (60.8%) compared with cirrhotic patients without SBP (42.2%; P=0.03). On multivariate analysis, PPI use was the only factor independently associated with SBP (OR 2.09 [95% CI 1.04 to 4.23]; P=0.04). Thirty-five (35%) patients in both groups had no documented indication for PPI use in their charts. Forty-five percent of the remaining cirrhotic patients with SBP had an inappropriate indication, as defined in the protocol, for PPI use compared with 25% of controls. CONCLUSIONS: Cirrhotic patients with SBP were twice as likely to have taken PPIs than patients without SBP. These findings reinforce the association between PPI use and SBP observed in other studies. A high percentage of cirrhotic patients were taking a PPI without any documented indication.
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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 | 0.000 |
| 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".