The relationship between a cirrhosis-specific comorbidity scoring system and healthcare utilization patterns

Ankur A Dashputre1, Branden D Nemecek2,3, Khalid M Kamal2

  • 1Institute for Health Outcomes and Policy, University of Tennessee Health Science Center, Memphis, Tennessee, USA.

Insights

The Cirrhosis Comorbidity (CirCom) score effectively predicts general healthcare use in liver cirrhosis patients but does not predict cirrhosis-specific utilization. This tool may aid in risk assessment and management.

Area of Science:

  • Hepatology
  • Internal Medicine
  • Healthcare Management

Background:

  • Comorbidities significantly impact healthcare utilization and survival in liver cirrhosis patients.
  • A validated scoring system is needed to assess comorbidity burden in this population.

Purpose of the Study:

  • To evaluate the relationship between a novel cirrhosis-specific comorbidity scoring system (CirCom) and healthcare utilization.
  • To determine if CirCom can predict all-cause and cirrhosis-specific healthcare resource use.

Main Methods:

  • Retrospective cohort analysis of 957 liver cirrhosis patients using electronic health records.
  • CirCom scores were calculated based on comorbidities at diagnosis.
  • All-cause and cirrhosis-specific outpatient and hospital utilization were assessed over one year post-diagnosis.

Main Results:

  • Higher CirCom scores correlated with increased all-cause outpatient (RR: 1.75) and hospital (RR: 1.71) utilization.
  • CirCom did not show a significant association with cirrhosis-specific outpatient (RR: 1.08) or hospital (RR: 0.87) utilization.
  • Model for End-stage Liver Disease (MELD) score was also considered as a predictor.

Conclusions:

  • The CirCom score demonstrates utility in predicting overall healthcare utilization in liver cirrhosis.
  • CirCom may serve as a valuable tool for risk stratification and management strategies in patients with liver cirrhosis.
  • Further research is needed to refine CirCom's predictive capabilities for disease-specific outcomes.
Abstract

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