Alcohol-associated liver disease is becoming increasingly prevalent throughout the United States. Previously alcohol-associated liver disease was known to affect men more often than women; however, this gap between the sexes is narrowing. Studies show that women develop liver disease with lesser alcohol exposure and suffer worse disease as compared with men. This review article explores the increasing prevalence of alcohol-associated liver disease in women, reasons for changing patterns in alcohol consumption and liver disease development including obesity and bariatric surgery, proposed mechanisms of sex-specific differences in alcohol metabolism that may account for this discrepancy between men and women, and sex differences in treatment enrollment and response. Studies were identified by performing a literature search of PubMed and Google Scholar and through review of the references in retrieved articles. Search terms included alcohol-associated liver disease, alcoholic hepatitis, alcoholic cirrhosis, sex, gender, female, epidemiology, bariatric surgery, obesity, treatment. Due to the paucity of literature on some of the relevant subject matter and inclusion of landmark studies, no date range was selected. Studies were included if their methods were sufficiently robust and they made a comparison between the sexes that is clinically relevant. Understanding of the changing epidemiology and mechanisms of liver disease development unique to women are paramount in creating appropriate and effective interventions for women who represent a rapidly growing subset of patients with alcohol-associated liver disease.

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Alcohol-associated hepatitis (AAH) is a severe form of liver injury with mortality as high as 30%-40% at 90 days. As a result of altered immune function in AAH, bacterial infections are common and are associated with poor outcomes. However, determining the risk and subsequent development of infection in patients with AAH remain challenging. We performed a retrospective study of consecutive patients admitted with a diagnosis of AAH at two independent tertiary centers from 1998 to 2018 (test cohort, n = 286) who developed infections following hospitalization. The diagnosis of AAH was confirmed by manual chart review according to the recent National Institute on Alcohol Abuse and Alcoholism definition. Infections were categorized by location and time of diagnosis as hospital-acquired infection (48 hours after admission until discharge) and posthospital infections (up to 6 months following discharge). The cohort was 66% men, and the median age was 48 (21-83) years. Corticosteroids were used in 32% of all patients with AAH. The overall infection rate was 24%. Of those with infections, 46% were hospital acquired and 54% were acquired after hospitalization. Variables found to be significant risk factors for bacterial infection included the presence of ascites on admission (hazard ratio [HR], 2.06), corticosteroid administration (HR, 1.70), Model for End-Stage Liver Disease (MELD) >23 (HR, 2.61), and white blood cell (WBC) count on admission per point (HR, 1.02). Conclusion: In this multicenter cohort study of patients hospitalized with AAH, MELD score, ascites, WBC count, and use of corticosteroids were identified as significant predictors of the development of bacterial infection. We created a novel predictive equation that may be used to aid in the identification of patients with AAH at high risk of infection. (Hepatology Communications 2021;0:1-8).A lcohol-associated hepatitis (AAH) is a serious form of alcohol-associated liver disease, estimated to occur in up to 35% of patients with alcohol use disorder. (1) Severe cases of AAH are characterized by new onset jaundice and are classified by the Maddrey's discriminant function (MDF) or the Model for End-Stage Liver Disease (MELD). (1)(2)(3) Infections are common in severe AAH, with approximately 25% of patients presenting with communityacquired infection and a similar percentage found to develop nosocomial infections. (4) The high rates of sepsis observed in AAH may be explained by