2023
DOI: 10.1007/s10620-023-07876-7
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Accurate Identification of Patients with Cirrhosis and Its Complications in the Electronic Health Record

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Cited by 3 publications
(10 citation statements)
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“…The identification of patients with cirrhosis on electronic medical records also often represents a challenge given the variable accuracy of ICD codes. 31 , 32 To increase the accuracy of cirrhosis diagnosis, we employed a natural language process model for the detection of imaging features of cirrhosis and portal hypertension. This approach may have led to the selection of patients with more advanced stages of cirrhosis.…”
Section: Discussionmentioning
confidence: 99%
“…The identification of patients with cirrhosis on electronic medical records also often represents a challenge given the variable accuracy of ICD codes. 31 , 32 To increase the accuracy of cirrhosis diagnosis, we employed a natural language process model for the detection of imaging features of cirrhosis and portal hypertension. This approach may have led to the selection of patients with more advanced stages of cirrhosis.…”
Section: Discussionmentioning
confidence: 99%
“… 23 In addition, the PPV of our NAC algorithms may be lower in our study, compared to previous validation studies examining these NAC codes, since the prevalence of NAC was lower in our cohort (29% vs. 42%–76%). 11 , 14 , 21 Population-level studies that require a higher PPV for NAC case identification could use NAC algorithm #2 (NAC ICD-10 codes in any position, excluding AUD codes; PPV 84.1%, CI: 76.7–89.9); however, this algorithm is limited by low sensitivity and has a statistically lower AUROC compared to NAC algorithm #9.1. Including codes for ascites, unspecified encephalopathy, secondary esophageal varices, gastric varices, esophageal varices without/with bleeding in diseases classified elsewhere, unspecified peritonitis, and acute hepatic failure either did not alter or decreased NAC identification accuracy in our cohort.…”
Section: Discussionmentioning
confidence: 99%
“…Previous validation studies have used these codes to enhance cirrhosis identification, a finding that contrasts with our observations. 9 , 11 , 14 However, these previous studies assessed algorithms using cohorts with known pre-existing cirrhosis or from tertiary hepatology care centers, which could impact liver disease code accuracy.…”
Section: Discussionmentioning
confidence: 99%
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