High-Risk Comorbidities Drive Adverse Inpatient Outcomes After ERCP: A National Analysis and Predictive Model

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Background/Aims: Patients undergoing ERCP with chronic kidney disease (CKD), congestive heart failure (CHF), or liver cirrhosis (LC) often experience worse outcomes. It is unclear whether these are driven by procedure-related events or underlying comorbidity. Methods We analyzed the National Inpatient Sample to identify adult ERCP cases. High-risk status was defined as CKD, CHF, or LC. Primary outcomes were inpatient mortality and morbidity. Results Among 1,171,973 ERCP admissions, 267,739 (22.8%) were high-risk. Compared with lower-risk patients, high-risk patients had higher inpatient mortality (3.8% vs 0.8%, P < 0.001) and morbidity (71.8% vs 35.7%, P < 0.001). They also had longer LOS (8.5 vs 5.3 days, P < 0.001) and higher charges ($122,635 vs $81,984, P < 0.001). In adjusted models, high-risk status independently predicted mortality (OR 3.80, 95% CI 3.66–3.94) and morbidity (OR 3.22, 95% CI 3.18–3.26). LC was the strongest predictor of mortality (OR 4.53), while CHF was most associated with morbidity (OR 2.84). Predictive models showed good discrimination (AUC 0.76 for mortality; 0.73 for morbidity). Conclusions High-risk comorbidities are present in nearly one-quarter of ERCP admissions and strongly predict worse inpatient outcomes. Most adverse events are likely driven by underlying illness rather than ERCP-specific complications. Our validated predictive models may inform counseling, triage, and peri-procedural management.

Article activity feed