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High-Risk Comorbidities Drive Adverse Inpatient Outcomes After ERCP: A National Analysis and Predictive Model
Zachary D Leslie1, Khalid Ahmed2, Yasmin Ali3
1Carleton College, Northfield, MN, USA.
Insights
Patients with chronic kidney disease, congestive heart failure, or liver cirrhosis undergoing ERCP have significantly worse outcomes. These adverse events are primarily driven by underlying conditions, not ERCP complications, impacting mortality and morbidity.
Area of Science:
- Gastroenterology
- Nephrology
- Cardiology
- Hepatology
Background:
- Patients undergoing Endoscopic Retrograde Cholangiopancreatography (ERCP) with chronic kidney disease (CKD), congestive heart failure (CHF), or liver cirrhosis (LC) often experience poorer outcomes.
- The contribution of procedure-related events versus underlying comorbidities to these adverse outcomes remains unclear.
Purpose of the Study:
- To investigate the impact of high-risk comorbidities (CKD, CHF, LC) on inpatient outcomes following ERCP.
- To determine whether adverse events are primarily driven by the procedure itself or by pre-existing conditions.
Main Methods:
- Analysis of the National Inpatient Sample database to identify adult ERCP admissions.
- Definition of high-risk comorbidities as CKD, CHF, or LC.
- Evaluation of primary outcomes including inpatient mortality and morbidity, length of stay (LOS), and hospital charges.
Main Results:
- Nearly a quarter (22.8%) of 1,171,973 ERCP admissions involved patients with high-risk comorbidities.
- High-risk patients exhibited significantly higher inpatient mortality (3.8% vs. 0.8%) and morbidity (71.8% vs. 35.7%) compared to lower-risk patients.
- Adjusted models confirmed high-risk comorbidities independently predicted mortality (OR 3.80) and morbidity (OR 3.22), with LC being the strongest predictor of mortality and CHF of morbidity.
Conclusions:
- High-risk comorbidities are prevalent in ERCP admissions and are strong independent predictors of adverse inpatient outcomes.
- The majority of negative outcomes appear to stem from the severity of underlying illnesses rather than ERCP-specific complications.
- Validated predictive models can aid in patient counseling, triage, and peri-procedural management for high-risk ERCP patients.
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 comorbidities were 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 comorbidities 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.
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