ArticleDigestive diseases and sciences2026
High-Risk Comorbidities Drive Adverse Inpatient Outcomes After ERCP: A National Analysis and Predictive Model.
Article in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Clinical Factors Associated with Prolonged Hospitalization in Patients Undergoing ERCP: A Tertiary-Care Cohort Study.Journal of clinical medicine · 2026Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimsPatients 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.
methodsWe 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.
resultsAmong 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).
conclusionsHigh-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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