Features that may predict hospital admission following outpatient therapeutic ERCP

Gastrointest Endosc. 1999 May;49(5):587-92. doi: 10.1016/s0016-5107(99)70386-x.

Abstract

Background: Some patients are admitted following outpatient therapeutic ERCP because of adverse events. This study aimed to identify factors that may predict such admissions.

Methods: We prospectively studied admissions for post-ERCP adverse events in 415 consecutive patients undergoing outpatient therapeutic ERCP. Potentially relevant predictors of admission were assessed by univariate analysis and in case of significance included in a multivariate analysis.

Results: Admission was necessary in 41 patients (9.9%) because of complications and in 63 (15.2%) for observation of adverse events that did not progress to definable complications. Potential predictors of admission were evaluated comparing patients who required more than an overnight admission (n = 63) with those who did not (n = 352). Multivariate analysis identified three factors that were significant: pain during the procedure (odds ratio 3.8: 95% CI [1.8, 7.9]), history of pancreatitis (odds ratio 2.3: 95% CI [1.1, 4.7]) and performance of sphincterotomy (odds ratio 2.2: 95% CI [1.1, 4.3]). The presence of all these features was associated with a 66.7% likelihood of admission, whereas the absence of pain during the procedure, history of pancreatitis and performance of sphincterotomy made admission likely in only 11.0%, 9.8% and 10.7%, respectively, of the cases.

Conclusions: The occurrence of pain during the procedure, a history of pancreatitis and the performance of sphincterotomy were independent predictors of admission following outpatient therapeutic ERCP.

MeSH terms

  • Adult
  • Aged
  • Cholangiopancreatography, Endoscopic Retrograde / adverse effects*
  • Cholangiopancreatography, Endoscopic Retrograde / methods
  • Cholangiopancreatography, Endoscopic Retrograde / statistics & numerical data
  • Cohort Studies
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Patient Admission / statistics & numerical data*
  • Prognosis
  • Prospective Studies
  • Risk Factors
  • Statistics, Nonparametric
  • United States