Diagnosis of Alcohol Use Disorder and Alcohol-Associated Liver Disease.

Harmful alcohol use and alcohol use disorder (AUD) are common worldwide, and rates of alcohol-associated liver disease (ALD) are also increasing. AUD is a disease that is treatable and can be diagnosed and managed, and recovery from AUD through abstinence or reductions in drinking is possible. Management of AUD among individuals with ALD is increasingly being addressed via integrated medical and psychosocial treatment teams that can support reductions in drinking and prevent progression of liver disease. Early diagnosis of AUD and ALD can improve lives and reduce mortality.

Designing clinical trials to address alcohol use and alcohol-associated liver disease: an expert panel Consensus Statement.

Most patients with alcohol-associated liver disease (ALD) engage in heavy drinking defined as 4 or more drinks per day (56 g) or 8 (112 g) or more drinks per week for women and 5 or more drinks per day (70 g) or 15 (210 g) or more drinks per week for men. Although abstinence from alcohol after diagnosis of ALD improves life expectancy and reduces the risk of decompensation of liver disease, few studies have evaluated whether treatment of alcohol use disorders will reduce progression of liver disease and improve liver-related outcomes. In November 2021, the National Institute of Alcohol Abuse and Alcoholism commissioned a task force that included hepatologists, addiction medicine specialists, statisticians, clinical trialists and members of regulatory agencies to develop recommendations for the design and conduct of clinical trials to evaluate the effect of alcohol use, particularly treatment to reduce or eliminate alcohol use in patients with ALD. The task force conducted extensive reviews of relevant literature on alcohol use disorders and ALD. Findings were presented at one in-person meeting and discussed over the next 16 months to develop the final recommendations. As few clinical trials directly address this topic, the 28 recommendations approved by all members of the task force represent a consensus of expert opinions.

Sex and gender in alcohol use disorder and alcohol-associated liver disease in the United States: A narrative review.

Over the last 20 years, there has been an alarming increase in alcohol use and AUD prevalence among women, narrowing the historical gender gap. Concurrently, there has also been a significant rise in alcohol-associated liver disease (ALD) prevalence, severity, and mortality among women. Despite this, there are no recent reviews that have sought to evaluate both sex and gender differences at the intersection of AUD and ALD. In this narrative review, we address the escalating rates of ALD and AUD in the United States, with a specific focus on the disproportionate impact on women. Sex and gender play an important and well-known role in the pathogenesis and epidemiology of ALD. However, sex and gender are also implicated in the development and prevalence of AUD, as well as in the treatment of AUD, all of which have important consequences on the approach to the treatment of patients with ALD and AUD. A better understanding of sex and gender differences in AUD, ALD, and the intersection of the 2 is essential to enhance prevention, diagnosis, and management strategies. These data underscore the urgent need for awareness and preventive efforts to mitigate the potential long-term health consequences.

Critical misconceptions and knowledge gaps regarding alcohol cessation and risk of relapse in alcohol-related liver disease patients: A qualitative mental models study.

INTRODUCTION: Despite the mortality benefits of alcohol cessation and alcohol treatment, few patients with alcohol-related liver disease (ALD) get such treatment. To understand reasons for low treatment rates, we performed a qualitative mental models study to explore how ALD patients understand factors influencing alcohol cessation, relapse and their liver health. METHODS: Using a mental models framework, we interviewed experts in alcohol use disorder (AUD) and ALD to determine factors influencing alcohol cessation, risk of relapse and liver health. An expert influence diagram was constructed and used to develop a patient interview guide. We recruited participants with ALD enrolled in hepatology or transplant clinics at a single tertiary-care center. We conducted interviews either face-to-face or by phone, per participant preference. We transcribed all interviews verbatim and analyzed them using combined deductive coding schema based on both the interview guide and emergent coding. RESULTS: 25 (10 women, 15 men) participants with a mean age of 57 years completed interviews. 68 % had decompensated cirrhosis. Major omissions included gender (as a factor in alcohol use or liver disease) and the influence of benzodiazepines/opioids on relapse. Misconceptions were common, in particular the idea that the absence of urges to drink meant participants were safe from relapse. Conceptual differences from the expert model emerged as well. Participants tended to view the self as primary and the only thing that could influence relapse in many cases, resulting in a linear mental model with few nodes influencing alcohol cessation. Participants' risky drinking signals (i.e., elevated liver enzymes) differed from known definitions of hazardous or high-risk drinking, which largely emphasize dose of alcohol consumed irrespective of consequences. Finally, participants sometimes viewed stopping on one's own as the primary means of stopping alcohol use, not recognizing the many other nodes in the influence diagram impacting ability to stop alcohol. CONCLUSION: Patients with ALD had critical misconceptions, omissions, and conceptual reorganizations in their mental models of the ability to stop alcohol use. Attention to these differences may allow clinicians and researchers to craft more impactful interventions to improve rates of alcohol abstinence and AUD treatment engagement.

A social media intervention for high-intensity drinking among emerging adults: a pilot randomized controlled trial.

AIMS: High-intensity drinking (HID) is a pattern of risky drinking defined as at least 8 drinks (for women) or 10 drinks (for men) in a single episode. Individuals engaged in HID may be at greater risk for consequences, necessitating tailored interventions. Herein, we report the feasibility and acceptability of a social media-delivered 8-week intervention for emerging adults with recent HID. METHODS: Using social media advertising, we recruited 102 emerging adults who reported past-month HID. Average age was 20.0 year-olds (SD = 2.0); 51.0% were male. Most identified as White (64.7%; 14.7% Black/African American, 13.7% multiracial) and 26.5% identified as Hispanic/Latinx. Participants were randomized to an 8-week intervention delivered via Snapchat by health coaches (N = 50) or to a control condition (psychoeducational website referral; N = 52). Follow-ups occurred at 2 and 4 months post-baseline. RESULTS: The intervention was acceptable (85.1% liked it/liked it a lot) and there were high follow-up rates. Participants rated coaches as supportive (91.5%) and respectful (93.6%). Descriptively, helpfulness ratings were higher for non-alcohol-related content (e.g. stress; 59.6% very/extremely helpful) than alcohol-related content (40.4% very/extremely helpful). Regarding engagement, 86.0% engaged approximately weekly and 59.6% indicated they saved intervention snaps. Descriptive data showed reductions over time in several measures of alcohol consumption and consequences as well as cannabis-impaired driving and mental health symptoms. CONCLUSIONS: This 8-week social media intervention for HID was feasible and acceptable among emerging adults, supporting the benefit of future testing in a fully powered trial.

Automated-detection of risky alcohol use prior to surgery using natural language processing.

BACKGROUND: Preoperative risky alcohol use is one of the most common surgical risk factors. Accurate and early identification of risky alcohol use could enhance surgical safety. Artificial Intelligence-based approaches, such as natural language processing (NLP), provide an innovative method to identify alcohol-related risks from patients' electronic health records (EHR) before surgery. METHODS: Clinical notes (n = 53,629) from pre-operative patients in a tertiary care facility were analyzed for evidence of risky alcohol use and alcohol use disorder. One hundred of these records were reviewed by experts and labeled for comparison. A rule-based NLP model was built, and we assessed the clinical notes for the entire population. Additionally, we assessed each record for the presence or absence of alcohol-related International Classification of Diseases (ICD) diagnosis codes as an additional comparator. RESULTS: NLP correctly identified 87% of the human-labeled patients classified with risky alcohol use. In contrast, diagnosis codes alone correctly identified only 29% of these patients. In terms of specificity, NLP correctly identified 84% of the non-risky cohort, while diagnosis codes correctly identified 90% of this cohort. In the analysis of the full dataset, the NLP-based approach identified three times more patients with risky alcohol use than ICD codes. CONCLUSIONS: NLP, an artificial intelligence-based approach, efficiently and accurately identifies alcohol-related risk in patients' EHRs. This approach could supplement other alcohol screening tools to identify patients in need of intervention, treatment, and/or postoperative withdrawal prophylaxis. Alcohol-related ICD diagnosis had limited utility relative to NLP, which extracts richer information within clinical notes to classify patients.

Reexamining "psychosocial clearance": A procedural framework for psychosocial evaluation in liver transplantation.

Psychosocial and "nonmedical" phenomena are commonly encountered in liver transplantation (LT) evaluations. They are simultaneously crucial decision-making factors and some of the most difficult and controversial clinical matters clinicians confront. Epidemiology, societal trends, and the preponderance of psychological and behavioral factors underpinning common end-stage liver diseases ensure that LT teams will continue to encounter highly complex psychosocial patient presentations. Psychosocial policies, practices, and opinions vary widely among clinicians and LT centers. Liver clinicians already report insufficient psychosocial expertise, which creates a large gap between the stark need for psychosocial expansion, improvement, and innovation in LT and the lack of accompanying guidance on how to achieve it. While the clinical domains of an LT psychosocial evaluation have been well-described, few articles analyze the procedures by which teams determine candidates' "psychosocial clearance" and no conceptual frameworks exist. This article proposes a framework of core domains of psychosocial evaluation procedures, common pitfalls, and practical improvement strategies.

Prevalence and Frequency of Cannabis Use Among Adults Ages 50-80 in the United States.

Introduction: Legal access to and attitudes toward cannabis are changing rapidly. Most of the United States and territories allow adults to use medical and/or recreational cannabis. Recent trends demonstrate increasing cannabis use among older U.S. adults. However, little research has examined cannabis use among older adults since 2019, when the COVID-19 pandemic caused major changes in patterns of substance use. Methods: The National Poll on Healthy Aging is a nationally cross-sectional survey that asked U.S. adults ages 50-80 in January 2021 about their cannabis use in the past year. Multivariable logistic regression was used to identify demographic and health characteristics associated with cannabis use. Results: Among 2023 participants aged 50-80 (52.7% female), 12.1% reported cannabis use in the past year. Among those who reported cannabis use, 34.2% reported using cannabis products 4 or more days per week. In multivariable logistic regression, cannabis use was less likely among people who identified as Hispanic ethnicity or as "other" races compared with non-Hispanic white respondents. Cannabis use was more likely among unmarried/unpartnered and unemployed respondents. Those who consumed alcohol were more likely to use cannabis. Conclusions: More than one in 10 U.S. adults aged 50-80 used cannabis in the 1st year of the COVID-19 pandemic, and many used cannabis frequently. As access to and use of cannabis continue to increase nationally, clinicians and policymakers should monitor and address the potential risks among older adults.

"But I didn't drink!": What to do with discordant phosphatidylethanol results.

Liver transplantation (LT) teams must be adept at detecting, evaluating, and treating patients' alcohol use, given its prominence among psychological and behavioral phenomena which cause and contribute to liver diseases. Phosphatidylethanol (PEth) is a highly useful alcohol biomarker increasingly recommended for routine use in hepatology and LT. PEth is unique among alcohol biomarkers because of its wide detection window, high sensitivity and specificity, and the correlation of its numerical value with different patterns of alcohol use. Alongside myriad clinical opportunities in hepatology and LT, PEth also confers numerous challenges: little guidance exists about its clinical use; fearing loss of LT access and the reactions of their clinicians and families, candidates and recipients are incentivized to conceal their alcohol use; and liver clinicians report lack of expertise diagnosing and treating substance-related challenges. Discordance between patient self-reported alcohol use and toxicology is yet another common and particularly difficult circumstance. This article discusses the general toxicological properties of PEth; explores possible scenarios of concordance and discordance among PEth results, patient history, and self-reported drinking; and provides detailed clinical communication strategies to explore discordance with liver patients, a key aspect of its use.

The development and evaluation of a provider-focused educational intervention about alcohol use disorder in patients with cirrhosis.

Background: Alcohol use disorder (AUD) is a leading cause of cirrhosis. Insufficient clinician knowledge and comfort managing AUD impacts access to treatment. Using Kern's Framework for Curriculum Development, we aimed to (i) develop and evaluate the effect of an "AUD in cirrhosis" educational intervention on clinicians' knowledge, attitudes, comfort, preparedness, and intention (practice habits) to integrate AUD management into their practice, and (ii) assess clinicians' motivation using Self Determination Theory. Methods: Kern's approach was used for curriculum development. Pilot session feedback informed a three-part flipped-classroom series conducted by interdisciplinary clinicians in hepatology, psychiatry, primary care, and addiction psychology. Participants watched a video followed by a live session focused on (a) withdrawal, (b) screening and brief intervention, and (c) prescribing pharmacotherapy. Questionnaires assessing knowledge and practice habits were adapted from the literature. Attitudes were evaluated using the Short Alcohol and Alcohol Problems Perception Questionnaire (SAAPPQ). Self Determination Theory informed motivation questions. Results: Paired sample t-tests on pre-post questionnaires (n = 229 clinicians; 95 completed questionnaires) revealed significant improvements in preparedness and comfort screening, providing a brief intervention, prescribing pharmacotherapy, and SAAPPQ domains. No significant changes were observed in the intention to prescribe pharmacotherapy. Effect size analysis showed medium to large effects across most topic areas. Conclusions: The developed sessions improved knowledge, attitudes, and practice habits of clinicians caring for this patient population. Given the rise in AUD and significant consequences in cirrhosis, this data offers promise that interactive education may improve practice habits of clinicians interfacing with this patient population.

Predicting persistent opioid use after hand surgery: a machine learning approach.

BACKGROUND: The aim of this study was to evaluate the use of machine learning to predict persistent opioid use after hand surgery. METHODS: We trained two algorithms to predict persistent opioid use, first using a general surgery dataset and then using a hand surgery dataset, resulting in four trained models. Next, we tested each model's performance using hand surgery data. Participants included adult surgery patients enrolled in a cohort study at an academic center from 2015-2018. The first algorithm (Michigan Genomics Initiative model) was designed to accommodate patient-reported data and patients with or without prior opioid use. The second algorithm (claims model) was designed for insurance claims data from patients who were opioid-naïve only. The main outcome was model discrimination, measured by area under the receiver operating curve (AUC). RESULTS: Of 889 hand surgery patients, 49% were opioid-naïve and 21% developed persistent opioid use. Most patients underwent soft tissue procedures (55%) or fracture repair (20%). The MGI model had AUCs of 0.84 when trained only on hand surgery data, and 0.85 when trained on the full cohort of surgery patients. The claims model had AUCs of 0.69 when trained only on hand surgery data, and 0.52 when trained on the opioid-naïve cohort of surgery patients. CONCLUSION: Opioid use is common after hand surgery. Machine learning has the potential to facilitate identification of patients who are at risk for prolonged opioid use, which can promote early interventions to prevent addiction.

Improving alcohol treatment engagement using integrated behavioral interventions in alcohol-associated liver disease: A randomized pilot trial.

INTRODUCTION: Alcohol cessation improves mortality in alcohol-associated liver disease (ALD), but few ALD patients will engage in treatment. We aimed to demonstrate the feasibility and acceptability of a mobile health intervention to increase alcohol use disorder (AUD) treatment among ALD patients. METHODS: We conducted a pilot randomized controlled trial (September 2020 to June 2022) at a single tertiary care center in adults with any stage of ALD, past 6-month drinking, and no past-month AUD treatment. Sixty participants were randomized 1:1 to a mobile health application designed to increase AUD treatment engagement through preference elicitation and matching to treatment and misconception correction. Controls received enhanced usual care. The primary outcomes were feasibility (recruitment and retention rates) and acceptability. Exploratory outcomes were AUD treatment engagement and alcohol use, measured by Timeline Followback. Outcomes were measured at 3 and 6 months. RESULTS: Baseline characteristics were balanced. The recruitment rate was 46%. Retention was 65% at 6 months. The intervention was highly acceptable to participants (91% were mostly/very satisfied; 95% felt that the intervention matched them well to AUD treatment). Secondary outcomes showed increased AUD treatment at 6 months in the intervention group (intent-to-treat: 27.3% vs. 13.3%, OR 2.3, 95% CI, 0.61-8.76). There was a trend toward a 1-level or greater reduction in World Health Organization (WHO) drinking risk levels in the intervention group (OR 2.25, 95% CI, 0.51-9.97). CONCLUSIONS: A mobile health intervention for AUD treatment engagement was highly feasible, acceptable, and produced promising early outcomes, with improved AUD treatment engagement and alcohol reduction in ALD patients.

Reducing Alcohol Use Before and After Surgery: Qualitative Study of Two Treatment Approaches.

BACKGROUND: High-risk alcohol use is a common preventable risk factor for postoperative complications, admission to intensive care, and longer hospital stays. Short-term abstinence from alcohol use (2 to 4 weeks) prior to surgery is linked to a lower likelihood of postoperative complications. OBJECTIVE: The study aimed to explore the acceptability and feasibility of 2 brief counseling approaches to reduce alcohol use in elective surgical patients with high-risk alcohol use in the perioperative period. METHODS: A semistructured interview study was conducted with a group of "high responders" (who reduced alcohol use ≥50% postbaseline) and "low responders" (who reduced alcohol use by ≤25% postbaseline) after their completion of a pilot trial to explore the acceptability and perceived impacts on drinking behaviors of the 2 counseling interventions delivered remotely by phone or video call. Interview transcripts were analyzed using thematic analysis. RESULTS: In total, 19 participants (10 high responders and 9 low responders) from the parent trial took part in interviews. Three main themes were identified: (1) the intervention content was novel and impactful, (2) the choice of intervention modality enhanced participant engagement in the intervention, and (3) factors external to the interventions also influenced alcohol use. CONCLUSIONS: The findings support the acceptability of both high- and low-intensity brief counseling approaches. Elective surgical patients are interested in receiving alcohol-focused education, and further research is needed to test the effectiveness of these interventions in reducing drinking before and after surgery. TRIAL REGISTRATION: ClinicalTrials.gov NCT03929562; https://clinicaltrials.gov/ct2/show/NCT03929562.

Management of alcohol use disorder in patients with chronic liver disease.

Alcohol use disorder (AUD) rates have risen dramatically in the United States, resulting in increasing rates of alcohol-associated liver disease (ALD), but many patients struggle to access alcohol use treatment. AUD treatment improves outcomes, including mortality, and represents the most urgent means by which care can be improved for those with liver disease (including ALD and others) and AUD. AUD care for those with liver disease involves 3 steps: detecting alcohol use, diagnosing AUD, and directing patients to alcohol treatment. Detecting alcohol use can involve questioning during the clinical interview, the use of standardized alcohol use surveys, and alcohol biomarkers. Identifying and diagnosing AUD are interview-based processes that should ideally be performed by a trained addiction professional, but nonaddiction clinicians can use surveys to determine the severity of hazardous drinking. Referral to formal AUD treatment should be made, especially where more severe AUD is suspected or identified. Therapeutic modalities are numerous and include different forms of one-on-one psychotherapy, such as motivational enhancement therapy or cognitive behavior therapy, group therapy, community mutual aid societies (such as Alcoholics Anonymous), inpatient addiction treatment, and relapse prevention medications. Finally, integrated care approaches that build strong relationships between addiction professionals and hepatologists or medical providers caring for those with liver disease are crucial to improving care for this population.

Definition and measurement of alcohol-associated insight in early liver transplantation for acute alcohol-associated hepatitis: A systematic review.

BACKGROUND: Alcohol accounts for a large disease burden in hepatology and liver transplantation (LT) and across the globe. Clinical evaluations and decisions about LT candidacy are challenging because they rely on detailed psychosocial assessments and interpretations of psychiatric and substance use disorder data, which often must occur rapidly according to the acuity of end-stage liver disease. Such difficulties commonly occur during the process of candidate selection and liver allocation, particularly during early LT (eLT) in patients with acute alcohol-associated hepatitis (AAH). Patients with AAH commonly have very recent or active substance use, high short-term mortality, psychiatric comorbidities, and compressed evaluation and treatment timetables. LT clinicians report that patients' alcohol-associated insight (AAI) is among the most relevant psychosocial data in this population, yet no studies exist examining how LT teams define and use AAI in eLT or its effect on clinical outcomes. In April 2022, we searched Ovid MEDLINE, Elsevier Embase, EBSCOhost PsycInfo and CINAHL, and Wiley Cochrane Central Register of Controlled Trials for reports describing AAH populations who underwent eLT, which also described psychosocial evaluation parameters. The searches retrieved 1603 unique reports. After eligibility screening, 8 were included in the qualitative analysis. This systematic review reveals that AAI is a poorly defined construct that is not measured in a standardized way. Yet it is a commonly cited parameter in articles that describe the psychosocial evaluation and decision-making of patients undergoing eLT for AAH. This article also discusses the general challenges of assessing AAI during eLT for AAH, existing AAI definitions and rating scales, how AAI has been used to date in the broader hepatology and LT literature, and future areas for clinical and research progress.

Identifying Persistent Opioid Use After Surgery: The Reliability of Pharmacy Dispensation Databases.

OBJECTIVE: The present study assessed concordance in perioperative opioid fulfillment data between Michigan's prescription drug monitoring program (PDMP) and a national pharmacy prescription database. BACKGROUND: PDMPs and pharmacy dispensation databases are widely utilized, yet no research has compared their opioid fulfilment data postoperatively. METHODS: This retrospective study included participants (N=19,823) from 2 registry studies at Michigan Medicine between July 1, 2016, and February 7, 2019. We assessed the concordance of opioid prescription fulfilment between the Michigan PDMP and a national pharmacy prescription database (Surescripts). The primary outcome was concordance of opioid fill data in the 91 to 180 days after surgical discharge, a time period frequently used to define persistent opioid use. Secondary outcomes included concordance of opioid dose and number of prescriptions fulfilled. Multinomial logistic regression analysis examined concordance across key subgroups. RESULTS: In total, 3076 participants had ≥1 opioid fulfillments 91 to 180 days after discharge, with 1489 (49%) documented in PDMP only, 243 (8%) in Surescripts only, and 1332 (43%) in both databases. Among participants with fulfillments in both databases, there were differences in the number (n=239; 18%) and dose (n=227; 17%). The PDMP database was more likely to capture fulfillment among younger and publicly insured participants, while Surescripts was more likely to capture fulfillment from counties bordering neighboring states. The prevalence of persistent opioid use was 10.7% using PDMP data, 5.5% using Surescripts data only, and 11.7% using both data resources. CONCLUSIONS: The state PDMP appears reliable for detecting opioid fulfillment after surgery, detecting 2 times more patients with persistent opioid use compared with Surescripts.