2018
DOI: 10.1371/journal.pone.0201120
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Identifying cirrhosis, decompensated cirrhosis and hepatocellular carcinoma in health administrative data: A validation study

Abstract: BackgroundTo evaluate screening and treatment strategies, large-scale real-world data on liver disease-related outcomes are needed. We sought to validate health administrative data for identification of cirrhosis, decompensated cirrhosis and hepatocellular carcinoma among patients with known liver disease.MethodsPrimary patient data were abstracted from patients of the Toronto Center for Liver Disease with viral hepatitis (2006–2014), and all patients with liver disease from the Kingston Health Sciences Centre… Show more

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Cited by 88 publications
(118 citation statements)
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References 22 publications
(18 reference statements)
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“…Existing evidence shows that ICD-10 coding is valid for defining overall cirrhosis and chronic liver diseases in most of the data sources used to assemble the cause-ofdeath database but does not have the required accuracy for reporting cirrhosis by the five causes estimated in the current study. 23,24 The models that we used to split the parent cirrhosis mortality and morbidity into the five causes are described below.…”
Section: Overviewmentioning
confidence: 99%
“…Existing evidence shows that ICD-10 coding is valid for defining overall cirrhosis and chronic liver diseases in most of the data sources used to assemble the cause-ofdeath database but does not have the required accuracy for reporting cirrhosis by the five causes estimated in the current study. 23,24 The models that we used to split the parent cirrhosis mortality and morbidity into the five causes are described below.…”
Section: Overviewmentioning
confidence: 99%
“…Establishing the validity of ICD codes is therefore needed. Another issue is that previous research has mainly validated ICD codes in small cohorts or cohorts derived from tertiary liver units [12,13], which is likely to suffer from selection bias and has implications on generalisability. Based on these issues, our study aimed to validate and calculate positive predictive values (PPVs) of ICD-10 codes for liver-related events in a nationwide setting.…”
Section: Introductionmentioning
confidence: 99%
“…These were identified through a combination of administrative data codes for inpatient and outpatient diagnoses and procedures, as well as pathological and death certificate information, as described elsewhere. 8 We followed individuals for outcomes until March 31st 2017.…”
Section: Methods and Resultsmentioning
confidence: 99%