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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.
Background And Aim:
Patients with liver cirrhosis are impacted by comorbidities that affect healthcare utilization and survival. The study objective was to assess the relationship between a cirrhosis-specific comorbidity scoring system (CirCom) and healthcare utilization among patients with cirrhosis.
Methods:
A retrospective cohort analysis was conducted using electronic medical records from a large academic-based healthcare network. Patients aged 18-90 years with at least one International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code for cirrhosis (571.2/571.5) between 2009 and 2014, and at least 180 pre-index and 365 days of post-index electronic medical record data were included. Patients were assigned CirCom scores based on comorbidities observed at/before index cirrhosis diagnosis. All-cause/cirrhosis-specific outpatient/hospital utilization was assessed post-index diagnosis across 1 year. Predictors of utilization (age, sex, race, body mass index, etiology, Model for End-stage Liver Disease, and CirCom) were assessed using negative binomial and Poisson regression with robust standard errors.
Results:
A total of 957 patients were included. Healthcare utilization according to CirCom demonstrated a positive linear relationship for both all-cause outpatient/hospital utilization, but no relationship was evident for cirrhosis-specific utilization. Increased CirCom was associated with an increased risk of all-cause utilization for both outpatient (relative risk [RR]: 1.75; 95% confidence interval [CI]: 1.47-2.07) and hospital (RR: 1.71; 95% CI: 1.38-2.12) utilization. However, CirCom showed a statistically non-significant association for cirrhosis-specific outpatient (RR: 1.08; 95% CI: 0.91-1.29) and cirrhosis-specific hospital (RR: 0.87, 95% CI: 0.67-1.13) utilization.
Conclusions:
CirCom failed to predict cirrhosis-specific healthcare utilization but did positively predict all-cause utilization for both outpatient and hospital services and therefore may be useful in risk assessment and management of cirrhosis.
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