Evaluating Cholangitis Management and Healthcare Disparities: A National Database Analysis of 30-Day Hospital Readmission Rates

Aims Predicting 30-day readmission for cholangitis patients hinges on comprehending the impact of comorbidities and length of hospital stay. This predictive endeavor entails analyzing how underlying conditions such as diabetes, cirrhosis, or malignancies influence readmission risk alongside evaluating the duration of hospitalization. By discerning these factors' interplay, healthcare practitioners can tailor interventions, optimize post-discharge care plans, and ultimately mitigate readmission rates, fostering improved patient outcomes and resource allocation efficiency within healthcare systems.

Methods From 2019 to 2022, we analyzed the Nationwide Readmission Database, focusing on 1,048,576 adults readmitted within 30 days with a primary diagnosis of Cholangitis. We used logistic regression to explore factors affecting 30-day readmission rates in a subset of 4,259 patients, considering demographics and clinical comorbidities. We checked for multicollinearity and adjusted the dataset before fitting the logistic model using stats models. The analysis highlighted significant predictors of readmission, providing valuable insights for reducing future readmission risks.

Results This study examined 4,259 cholangitis patients to identify factors impacting 30-day readmission rates using logistic regression. Key predictors included age (coefficient 0.0241, p<0.0001), hyperlipidemia (HLD) showing a protective effect (coefficient -0.2431, p=0.011), anemia (coefficient 0.2602, p=0.023), heart failure (coefficient 0.3666, p=0.003), and length of stay (LOS) (coefficient 0.0584, p<0.0001). Each additional year of age, day of hospital stay, and conditions like anemia and heart failure increased readmission odds, underscoring the need for targeted interventions and personalized care strategies to mitigate readmission risks

Conclusions Our study highlights how comorbidities and length of stay (LOS) predict 30-day readmissions in cholangitis patients. Logistic regression shows that older age, extended LOS, and conditions like anemia and heart failure increase readmission risks. Targeted discharge planning and tailored follow-up for high-risk patients may reduce these rates. The role of hyperlipidemia (HLD) as a protective factor needs further study. Focusing on these predictors can enhance patient outcomes and reduce readmissions

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Artikel online veröffentlicht:
27. März 2025