A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink

Purpose: The CirCom score has been developed from Danish data as a specific measure of comorbidity for cirrhosis to predict all-cause mortality. We compared its performance with the Charlson Comorbidity Index (CCI) in an English cirrhosis population. Patients and methods: We used comorbidity scores...

Full description

Bibliographic Details
Main Authors: Crooks, Colin J., West, Joe, Jepson, Peter
Format: Article
Published: Dove Press 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/49109/
_version_ 1848797923869982720
author Crooks, Colin J.
West, Joe
Jepson, Peter
author_facet Crooks, Colin J.
West, Joe
Jepson, Peter
author_sort Crooks, Colin J.
building Nottingham Research Data Repository
collection Online Access
description Purpose: The CirCom score has been developed from Danish data as a specific measure of comorbidity for cirrhosis to predict all-cause mortality. We compared its performance with the Charlson Comorbidity Index (CCI) in an English cirrhosis population. Patients and methods: We used comorbidity scores in a survival model to predict mortality in a cirrhosis cohort in the Clinical Practice Research Datalink. The discrimination of each score was compared by age, gender, socioeconomic status, cirrhosis etiology, cirrhosis stage, and year after cirrhosis diagnosis. We also measured their ability to predict liver-related versus non-liver-related death. Results: There was a small improvement in the C statistic from the model using the CirCom score (C=0.63) compared to the CCI (C=0.62), and there was an overall improvement in the net reclassification index of 1.5%. The improvement was more notable in younger patients, those with an alcohol etiology, and those with compensated cirrhosis. Both scores performed better (C statistic >0.7) for non-liver-related deaths than liver-related deaths (C statistic <0.6), as comorbidity was only weakly predictive of liver-related death. Conclusion: The CirCom score provided a small improvement in performance over the CCI in the prediction of all-cause and non-liver mortality, but not liver-related mortality. Therefore, it is important to include a measure of comorbidity in studies of cirrhosis survival, alongside a measure of cirrhosis severity.
first_indexed 2025-11-14T20:11:36Z
format Article
id nottingham-49109
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T20:11:36Z
publishDate 2018
publisher Dove Press
recordtype eprints
repository_type Digital Repository
spelling nottingham-491092024-08-15T15:26:04Z https://eprints.nottingham.ac.uk/49109/ A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink Crooks, Colin J. West, Joe Jepson, Peter Purpose: The CirCom score has been developed from Danish data as a specific measure of comorbidity for cirrhosis to predict all-cause mortality. We compared its performance with the Charlson Comorbidity Index (CCI) in an English cirrhosis population. Patients and methods: We used comorbidity scores in a survival model to predict mortality in a cirrhosis cohort in the Clinical Practice Research Datalink. The discrimination of each score was compared by age, gender, socioeconomic status, cirrhosis etiology, cirrhosis stage, and year after cirrhosis diagnosis. We also measured their ability to predict liver-related versus non-liver-related death. Results: There was a small improvement in the C statistic from the model using the CirCom score (C=0.63) compared to the CCI (C=0.62), and there was an overall improvement in the net reclassification index of 1.5%. The improvement was more notable in younger patients, those with an alcohol etiology, and those with compensated cirrhosis. Both scores performed better (C statistic >0.7) for non-liver-related deaths than liver-related deaths (C statistic <0.6), as comorbidity was only weakly predictive of liver-related death. Conclusion: The CirCom score provided a small improvement in performance over the CCI in the prediction of all-cause and non-liver mortality, but not liver-related mortality. Therefore, it is important to include a measure of comorbidity in studies of cirrhosis survival, alongside a measure of cirrhosis severity. Dove Press 2018-01-15 Article PeerReviewed Crooks, Colin J., West, Joe and Jepson, Peter (2018) A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink. Clinical Epidemiology, 2018:10 . pp. 107-120. ISSN 1179-1349 cirrhosis mortality comorbidity prognosis cause of death cohort https://www.dovepress.com/a-validation-study-of-the-circom-comorbidity-score-in-an-english-cirrh-peer-reviewed-article-CLEP doi:10.2147/CLEP.S147535 doi:10.2147/CLEP.S147535
spellingShingle cirrhosis
mortality
comorbidity
prognosis
cause of death
cohort
Crooks, Colin J.
West, Joe
Jepson, Peter
A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink
title A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink
title_full A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink
title_fullStr A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink
title_full_unstemmed A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink
title_short A validation study of the CirCom comorbidity score in an English cirrhosis population using the Clinical Practice Research Datalink
title_sort validation study of the circom comorbidity score in an english cirrhosis population using the clinical practice research datalink
topic cirrhosis
mortality
comorbidity
prognosis
cause of death
cohort
url https://eprints.nottingham.ac.uk/49109/
https://eprints.nottingham.ac.uk/49109/
https://eprints.nottingham.ac.uk/49109/