Development and Validation of a Prediction Model for Admission After Endoscopic Retrograde Cholangiopancreatography.

ABSTRACT:

Background & aims

In outpatients undergoing endoscopic retrograde cholangiopancreatography (ERCP) with anesthesia, rates of and risk factors for admission are unclear. We aimed to develop a model that would allow physicians to predict hospitalization of patients during postanesthesia recovery.

Methods

We conducted a retrospective study of data from ERCPs performed on outpatients from May 2012 through October 2013 at the Indiana University School of Medicine. Medical records were abstracted for preanesthesia, intra-anesthesia, and early (within the first hour) postanesthesia characteristics potentially associated with admission. Significant factors associated with admission were incorporated into a logistic regression model to identify subgroups with low, moderate, or high pr

SUBMITTER: Cote GA 

PROVIDER: S-EPMC4655134 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature