Algorithms to Identify Alcoholic Hepatitis Hospitalizations in Patients with Cirrhosis

Validating new coding algorithms to improve identification of alcohol-associated and nonalcohol-associated cirrhosis hospitalizations in administrative databases

BACKGROUND

Alcohol (AC) and nonalcohol-associated cirrhosis (NAC) epidemiology studies are limited by available case definitions. We compared the diagnostic accuracy of previous and newly developed case definitions to identify AC and NAC hospitalizations.

METHODS

We randomly selected 700 hospitalizations from the 2008 to 2022 Canadian Discharge Abstract Database with alcohol-associated and cirrhosis-related International Classification of Diseases 10th revision codes. We compared standard approaches for AC (ie, AC code alone and alcohol use disorder and nonspecific cirrhosis codes together) and NAC (ie, NAC codes alone) case identification to newly developed approaches that combine standard approaches with new code combinations. Using electronic medical record review as the reference standard, we calculated case definition positive and negative predictive values, sensitivity, specificity, and AUROC.

RESULTS

Electronic medical records were available for 671 admissions; 252 had confirmed AC and 195 NAC. Compared to previous AC definitions, the newly developed algorithm selecting for the AC code, alcohol-associated hepatic failure code, or alcohol use disorder code with a decompensated cirrhosis-related condition or NAC code provided the best overall positive predictive value (91%, 95% CI: 87-95), negative predictive value (89%, CI: 86-92), sensitivity (81%, CI: 76-86), specificity (96%, CI: 93-97), and AUROC (0.88, CI: 0.85-0.91). Comparing all evaluated NAC definitions, high sensitivity (92%, CI: 87-95), specificity (82%, CI: 79-86), negative predictive value (96%, CI: 94-98), AUROC (0.87, CI: 0.84-0.90), but relatively low positive predictive value (68%, CI: 62-74) were obtained by excluding alcohol use disorder codes and using either a NAC code in any diagnostic position or a primary diagnostic code for HCC, unspecified/chronic hepatic failure, esophageal varices without bleeding, or hepatorenal syndrome.

CONCLUSIONS

New case definitions show enhanced accuracy for identifying hospitalizations for AC and NAC compared to previously used approaches.

Racial and ethnic disparities in alcohol-associated liver disease in the United States: A systematic review and meta-analysis

BACKGROUND

Alcohol-associated liver disease (ALD), encompassing alcohol-associated hepatitis and alcohol-associated cirrhosis, is rising in the United States. Racial and ethnic disparities are evident within ALD; however, the precise nature of these disparities is poorly defined.

METHODS

We conducted a search of the PubMed/MEDLINE and EMBASE databases to identify studies published from inception through September 2023 that reported ALD incidence, prevalence, and mortality within the United States, stratified by race and ethnicity. We calculated pooled prevalence and incidence by race and ethnicity, including risk ratios and ORs for ALD pooled prevalence and alcohol-associated hepatitis/alcohol-associated cirrhosis pooled proportions, and OR for ALD mortality using the DerSimonian and Laird method for random-effect models.

RESULTS

We identified 25 relevant studies (16 for quantitative meta-analysis), comprising 76,867,544 patients. ALD prevalence was highest in Hispanic (4.5%), followed by White (3.1%) and Black (1.4%) individuals. Pooled risk ratios of ALD prevalence were 1.64 (95% CI: 1.12-2.39) for Hispanic and 0.59 (95% CI: 0.35-0.87) for Black compared to White individuals. Mortality among those with ALD did not significantly differ between White and Hispanic (OR: 1.54, 95% CI: 0.9-2.5; I2=0%), Black (OR: 1.2, 95% CI: 0.8-1.6; I2=0%), or Native American (OR: 2.41, 95% CI: 0.9-2.9) individuals, while there was a significant difference between White and Asian (OR: 0.1; 95% CI: 0.03-0.5) individuals. Most data were cross-sectional and assessed to be of poor or fair quality.

CONCLUSIONS

Differences were observed in ALD epidemiology, including higher prevalence among Hispanic and lower prevalence among Black individuals, although there were smaller differences in ALD mortality. Differences in ALD prevalence and prognosis remain poorly defined based on existing data, highlighting a need for higher-quality epidemiological studies in this area.

Incidence, clinical characteristics, and risk factors associated with recurrent alcohol-associated hepatitis

BACKGROUND

Alcohol relapse occurs frequently in alcohol-associated hepatitis (AH) survivors, but data on the frequency and course of recurrent alcohol-associated hepatitis (rAH) are sparse. We investigated the incidence, risk factors, and outcomes of rAH.

METHODS

Hospitalized patients with AH from 2010 to 2020 at a large health care system were followed until death/liver transplant, last follow-up, or end of study (December 31, 2021). AH was defined by NIAAA Alcoholic Hepatitis Consortium criteria; rAH was defined a priori as a discrete AH episode >6 months from index AH hospitalization with interim >50% improvement or normalization of total bilirubin. Multivariable competing risk analysis was performed to identify factors associated with rAH. Landmark Kaplan-Meier analysis was performed to compare survival between patients who did versus those who did not develop rAH.

RESULTS

Of 1504 hospitalized patients with AH, 1317 (87.6%) survived and were analyzed. During a 3055 person-year follow-up, 116 (8.8%) developed rAH at an annual incidence rate of 3.8% (95% CI: 2.8-4.8). On multivariable competing risk analysis, marital status [sub-HR 0.54 (95% CI: 0.34, 0.92), p=0.01] and medications for alcohol use disorder [sub-HR 0.56 (95% CI: 0.34, 0.91), p=0.02] were associated with a lower risk for rAH. On landmark Kaplan-Meier analysis, the cumulative proportion surviving at 1 year (75% vs. 90%) and 3 years (50% vs. 78%) was significantly lower in patients who developed rAH compared to those who did not develop rAH (log-rank p<0.001).

CONCLUSIONS

rAH develops in ~1 in 10 AH survivors and is associated with lower long-term survival. Medications for alcohol use disorder lower the risk for rAH and, therefore, could be a key preventative strategy to improve outcomes.

The Changing Epidemiology of Alcohol-Associated Liver Disease: Gender, Race, and Risk Factors

Cases of alcohol-associated liver disease (ALD) are increasing at a steady rate in the United States with more patients presenting with alcohol-associated hepatitis and alcohol-associated cirrhosis. While alcohol use has increased across many demographic groups, women are suffering from a greater increase in alcohol use disorder (AUD), and are at a greater risk of ALD due to pathophysiological differences which include absorption of alcohol, first pass metabolism, and hormonal differences. Differences across race have also been found with Native Americans and Hispanics suffering from some of the largest increases in ALD rates. Younger adults are heavily impacted by rising rates of both AUD and ALD. Comorbidities such as obesity and NASH have been shown to augment the deleterious effects of AUD and ALD, resulting in more advanced liver disease. Finally, COVID-19 and policies related to the pandemic have resulted in increased AUD across many cohorts, which have resulted in marked increases in ALD. In conclusion, ALD rates are rising, with young people and women particularly impacted.

Concordance of ICD-10 Codes and the Clinical Diagnosis of Alcoholic Hepatitis

INTRODUCTION

Many studies on alcoholic hepatitis (AH) use the International Classification of Disease (ICD) coding to identify patients. Data regarding the diagnostic accuracy of ICD codes for AH are limited.

METHODS

A total of 151 patients with ICD-10 codes for AH were reviewed for the presence or absence of AH using standardized diagnostic criteria.

RESULTS

Sixty-eight of the 151 patients met AH criteria, corresponding to a positive predictive value of 45%. Patients with AH experienced higher model for end-stage liver disease and mortality than those who did not ( P < 0.05).

DISCUSSION

Our results suggest ICD-10 codes are not reliable for identifying AH. Studies using the ICD codes should be interpreted cautiously.