Does This Patient Have Alcohol Use Disorder?: The Rational Clinical Examination Systematic Review.

Importance: The accuracy of screening tests for alcohol use disorder (defined as a problematic pattern of alcohol use leading to clinically significant impairment or distress) requires reassessment to align with the latest definition in the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5). Objective: To assess the diagnostic accuracy of screening tools in identifying individuals with alcohol use disorder as defined in the DSM-5. Data Sources and Study Selection: The databases of MEDLINE and Embase were searched (January 2013-February 2023) for original studies on the diagnostic accuracy of brief screening tools to identify alcohol use disorder according to the DSM-5 definition. Because diagnosis of alcohol use disorder does not include excessive alcohol use as a criterion, studies of screening tools that identify excessive or high-risk drinking among younger (aged 9-18 years), older (aged ≥65 years), and pregnant persons also were retained. Data Extraction and Synthesis: Sensitivity, specificity, and likelihood ratios (LRs) were calculated. When appropriate, a meta-analysis was performed to calculate a summary LR. Results: Of 4303 identified studies, 35 were retained (N = 79 633). There were 11 691 individuals with alcohol use disorder or a history of excessive drinking. Across all age categories, a score of 8 or greater on the Alcohol Use Disorders Identification Test (AUDIT) increased the likelihood of alcohol use disorder (LR, 6.5 [95% CI, 3.9-11]). A positive screening result using AUDIT identified alcohol use disorder better among females (LR, 6.9 [95% CI, 3.9-12]) than among males (LR, 3.8 [95% CI, 2.6-5.5]) (P = .003). An AUDIT score of less than 8 reduced the likelihood of alcohol use disorder similarly for both males and females (LR, 0.33 [95% CI, 0.20-0.52]). The abbreviated AUDIT-Consumption (AUDIT-C) has sex-specific cutoff scores of 4 or greater for males and 3 or greater for females, but was less useful for identifying alcohol use disorder (males: LR, 1.8 [95% CI, 1.5-2.2]; females: LR, 2.0 [95% CI, 1.8-2.3]). The AUDIT-C appeared useful for identifying measures of excessive alcohol use in younger people (aged 9-18 years) and in those older than 60 years of age. For those younger than 18 years of age, the National Institute on Alcohol Abuse and Alcoholism age-specific drinking thresholds were helpful for assessing the likelihood of alcohol use disorder at the lowest risk threshold (LR, 0.15 [95% CI, 0.11-0.21]), at the moderate risk threshold (LR, 3.4 [95% CI, 2.8-4.1]), and at the highest risk threshold (LR, 15 [95% CI, 12-19]). Among persons who were pregnant and screened within 48 hours after delivery, an AUDIT score of 4 or greater identified those more likely to have alcohol use disorder (LR, 6.4 [95% CI, 5.1-8.0]), whereas scores of less than 2 for the Tolerance, Worried, Eye-Opener, Amnesia and Cut-Down screening tool and the Tolerance, Annoyed, Cut-Down and Eye-Opener screening tool identified alcohol use disorder similarly (LR, 0.05 [95% CI, 0.01-0.20]). Conclusions and Relevance: The AUDIT screening tool is useful to identify alcohol use disorder in adults and in individuals within 48 hours postpartum. The National Institute on Alcohol Abuse and Alcoholism youth screening tool is helpful to identify children and adolescents with alcohol use disorder. The AUDIT-C appears useful for identifying various measures of excessive alcohol use in young people and in older adults.

A pilot study of implementing an adapted model for integration of interventions for people with alcohol use disorders in Tanzanian primary healthcare facilities.

BACKGROUND: Ensuring that evidence-based interventions for people with alcohol use disorders (AUD) are acceptable, effective, and feasible in different socio-cultural and health system contexts is essential. We previously adapted a model of integration of AUD interventions for the Tanzanian primary healthcare system. This pilot study aimed to assess the impact on AUD detection and the acceptability and feasibility of the facility-based components of this model from the perspective of healthcare providers (HCPs). METHODS: This mixed-methods study comprised a pre-post quasi-experimental study and a qualitative study. The integrated model included training HCPs in managing AUD, introducing systematic screening for AUD, documentation of AUD service utilization, and supportive supervision. We collected information on the number of people identified for AUD three months before and after piloting the service model. A non-parametric trend test, a distribution-free cumulative sum test, was used to identify a change in the identification rate of AUD beyond that observed due to secular trends or, by chance, three months before and after implementing the integrated AUD facility-based interventions. The Mann-Kendal test was used to assess the statistical significance of the trend. We conducted three focus group discussions exploring the experience of HCPs and their perspectives on facilitators, barriers, and strategies to overcome them. The focus group discussions were analyzed using thematic analysis. RESULTS: During the pre-implementation phase of the facility-based interventions of the adapted AUD model, HCPs assessed 322 people for AUD over three months, ranging from a minimum of 99 to a maximum of 122 per month. Of these, 77 were identified as having AUD. Moreover, HCPs screened 2058 people for AUD during implementation; a minimum of 528 to a maximum of 843 people were screened for AUD per month for the three months. Of these, 514 screened positive for AUD (AUDIT ≥ 8). However, this change in screening for AUD was not statistically significant (p-value = 0.06). HCPs reported that knowledge and skills from the training helped them identify and support people they would not usually consider having problematic alcohol use. Perceived barriers to implementation included insufficient health personnel compared to needs and inconvenient health management information systems. HCPs proposed strategies to overcome these factors and recommended multisectoral engagement beyond the health system. CONCLUSIONS: Although the change in the trend in the number of people screened for AUD by HCPs post-implementation was not statistically significant, it is still feasible to implement the facility-based components of the adapted integrated AUD model while addressing the identified bottlenecks and strategies for implementation. Therefore, a large-scale, adequately powered implementation feasibility study is needed. Findings from this study will be used to finalize the adapted model for integrating AUD interventions for future implementation and larger-scale evaluation.

AUD in perspective.

Alcohol is a major cause of pre-mature death and individual suffering worldwide, and the importance of diagnosing and treating AUD cannot be overstated. Given the global burden and the high attributable factor of alcohol in a vast number of diseases, the need for additional interventions and the development of new medicines is considered a priority by the World Health Organization (WHO). As of today, AUD is severely under-treated with a treatment gap nearing 90%, strikingly higher than that for other psychiatric disorders. Patients often seek treatment late in the progress of the disease and even among those who seek treatment only a minority receive medication, mirroring the still-prevailing stigma of the disease, and a lack of access to effective treatments, as well as a reluctance to total abstinence. To increase adherence, treatment goals should focus not only on maintaining abstinence, but also on harm reduction and psychosocial functioning. A personalised approach to AUD treatment, with a holistic view, and tailored therapy has the potential to improve AUD treatment outcomes by targeting the heterogeneity in genetics and pathophysiology, as well as reason for, and reaction to drinking. Also, the psychiatric co-morbidity rates are high in AUD and dual diagnosis can worsen symptoms and influence treatment response and should be considered in the treatment strategies.

Phosphatidylethanol (B-PEth) and other direct and indirect biomarkers of alcohol consumption.

When identifying, preventing and treating alcohol use disorder, a correct estimation of alcohol intake is essential. An objective marker is preferred as self-reported alcohol intake suffers from bias, and the use of alcohol biomarkers is increasing globally. An easy-to-use blood biomarker to correctly assess alcohol consumption is an invaluable asset in alcohol treatment strategies, as well as in alcohol research studies. The specific, cumulative, biomarker phosphatidylethanol, mirroring the past two weeks of consumption, has shown superiority over traditional biomarkers and is an attractive choice of proxy for alcohol intake.

How well do DSM-5 criteria measure alcohol use disorder in the general population of older Swedish adolescents? An item response theory analysis.

BACKGROUND: This study assesses the psychometric properties of DSM-5 criteria of AUD in older Swedish adolescents using item response theory models, focusing specifically on the precision of the scale at the cut-offs for mild, moderate, and severe AUD. METHODS: Data from the second wave of Futura01 was used. Futura01 is a nationally representative cohort study of Swedish people born 2001 and data for the second wave was collected when participants were 17/18 years old. This study included only participants who had consumed alcohol during the past 12 months (n = 2648). AUD was measured with 11 binary items. A 2-parameter logistic item response theory model (2PL) estimated the items' difficulty and discrimination parameters. RESULTS: 31.8% of the participants met criteria for AUD. Among these, 75.6% had mild AUD, 18.3% had moderate, and 6.1% had severe AUD. A unidimensional AUD model had a good fit and 2PL models showed that the scale measured AUD over all three cut-offs for AUD severity. Although discrimination parameters ranged from moderate (1.24) to very high (2.38), the more commonly endorsed items discriminated less well than the more difficult items, as also reflected in less precision of the estimates at lower levels of AUD severity. The diagnostic uncertainty was pronounced at the cut-off for mild AUD. CONCLUSION: DSM-5 criteria measure AUD with better precision at higher levels of AUD severity than at lower levels. As most older adolescents who fulfil an AUD diagnosis are in the mild category, notable uncertainties are involved when an AUD diagnosis is set in this group.

Elevated liver enzymes and fasting glucose levels correlate with neuropathy in patients diagnosed with alcohol use disorder independently of the blood thiamine levels.

AIMS: Chronic alcohol consumption is well known to cause peripheral neuropathy, affecting both small and large nerve fibers. The aim of this study was to correlate biochemical and neurophysiological findings and investigate possible biomarkers and risk factors for pathogenetic mechanisms of neuropathy in patients diagnosed with alcohol use disorder (AUD). METHODS: Ninety patients diagnosed with AUD were enrolled in this prospective study over a period of 3 years. Serum biochemical parameters, as well as thiamine blood levels, were determined upon admission. Every subject was assessed by clinical neurological examination, followed by Nerve Conduction Studies, Quantitative Sensory Testing, and Sympathetic Skin Response. Fifty age and gender-matched patients without a diagnosis of AUD were used as the control group. RESULTS: Peripheral neuropathy was diagnosed in 54 patients (60%). Among them, pure large fiber neuropathy was found in 18 patients, pure small fiber neuropathy in 12 patients, and both large and small fiber neuropathy was diagnosed in 24 patients. Elevated liver enzymes and fasting glucose levels upon admission were significantly correlated with neuropathy. Lower blood thiamine levels (than reference) were found in seven patients and were not correlated with neuropathy. CONCLUSIONS: Our study suggests that alcohol-related liver dysfunction and hyperglycemia may contribute as risk factors of peripheral neuropathy in patients diagnosed with AUD, while blood thiamine levels do not correlate with neuropathy. Moreover, we suggest that liver enzymes and the De Ritis ratio could be potentially used as biomarkers for the incidence and severity of alcohol-related neuropathy.

Different measures of alcohol use as predictors of DSM-5 alcohol use disorder among adolescents - A cohort study from Sweden.

BACKGROUND AND AIMS: This study addresses a significant gap in existing research by investigating the longitudinal relationship between various measures of alcohol use and the development of alcohol use disorders (AUDs) in a cohort of Swedish adolescents. METHODS: A prospective longitudinal survey was conducted on 3999 adolescents in Sweden who were in 9th grade in 2017 and were followed up in 2019. Baseline assessments included lifetime alcohol use, recent use (past 30 days), risky drinking (AUDIT-C), and heavy episodic drinking (HED). Follow-up assessments comprised eleven items measuring DSM-5 AUD criteria. The study explores prospective associations between these diverse alcohol use measures and the occurrence of AUD, while also calculating population attributable fractions (PAF). FINDINGS: The proportion of alcohol consumers who met the criteria for AUD at follow-up was 31.8%. All baseline measures of alcohol use exhibited associations with subsequent AUD. Notably, the HED group demonstrated the highest prevalence of AUD at 51.4% (p<.001). However, when calculating PAFs, any lifetime alcohol use emerged as the most substantial contributor, accounting for 10.8% of all subsequent AUD cases. CONCLUSIONS: This study underscores that alcohol use during mid-adolescence heightens the risk of developing AUD in late adolescence. Among the various measures, heavy episodic drinking presents the highest risk for later AUD. From a public health perspective, preventing any alcohol use emerges as the most effective strategy to mitigate the population-level burden of disease of AUD.

Scoping review of assessment tools for, magnitudes of and factors associated with problem drinking in population-based studies.

BACKGROUND: The term "problem drinking" includes a spectrum of alcohol problems ranging from excessive or heavy drinking to alcohol use disorder. Problem drinking is a leading risk factor for death and disability globally. It has been measured and conceptualised in different ways, which has made it difficult to identify common risk factors for problem alcohol use. This scoping review aims to synthesise what is known about the assessment of problem drinking, its magnitude and associated factors. METHODS: Four databases (PubMed, Embase, PsycINFO, Global Index Medicus) and Google Scholar were searched from inception to 25 November 2023. Studies were eligible if they focused on people aged 15 and above, were population-based studies reporting problem alcohol use and published in the English language. This review was reported based on guidelines from the 'Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews Checklist'. Critical appraisal was done using the Newcastle-Ottawa Scale. RESULTS: From the 14 296 records identified, 10 749 underwent title/abstract screening, of which 352 full-text articles were assessed, and 81 articles were included for data extraction. Included studies assessed alcohol use with self-report quantity/frequency questionnaires, criteria to determine risky single occasion drinking, validated screening tools, or structured clinical and diagnostic interviews. The most widely used screening tool was the Alcohol Use Disorder Identification Test. Studies defined problem drinking in various ways, including excessive/heavy drinking, binge drinking, alcohol use disorder, alcohol abuse and alcohol dependence. Across studies, the prevalence of heavy drinking ranged from <1.0% to 53.0%, binge drinking from 2.7% to 48.2%, alcohol abuse from 4.0% to 19.0%, alcohol dependence from 0.1% to 39.0% and alcohol use disorder from 2.0% to 66.6%. Factors associated with problem drinking varied across studies. These included sociodemographic and economic factors (age, sex, relationship status, education, employment, income level, religion, race, location and alcohol outlet density) and clinical factors (like medical problems, mental disorders, other substance use and quality of life). CONCLUSIONS: Due to differences in measurement, study designs and assessed risk factors, the prevalence of and factors associated with problem drinking varied widely across studies and settings. The alcohol field would benefit from harmonised measurements of alcohol use and problem drinking as this would allow for comparisons to be made across countries and for meta-analyses to be conducted. TRIAL REGISTRATION NUMBER: Open Science Framework ID: https://osf.io/2anj3.

Multimodal-based machine learning approach to classify features of internet gaming disorder and alcohol use disorder: A sensor-level and source-level resting-state electroencephalography activity and neuropsychological study.

OBJECTIVES: Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it is necessary to conduct further neuroscientific research to understand the mechanisms of BA to the same extent as SUD. The present study used machine learning (ML) algorithms to investigate the neuropsychological and neurophysiological aspects of addictions in individuals with internet gaming disorder (IGD) and alcohol use disorder (AUD). METHODS: We developed three models for distinguishing individuals with IGD from those with AUD, individuals with IGD from healthy controls (HCs), and individuals with AUD from HCs using ML algorithms, including L1-norm support vector machine, random forest, and L1-norm logistic regression (LR). Three distinct feature sets were used for model training: a unimodal-electroencephalography (EEG) feature set combined with sensor- and source-level feature; a unimodal-neuropsychological feature (NF) set included sex, age, depression, anxiety, impulsivity, and general cognitive function, and a multimodal (EEG + NF) feature set. RESULTS: The LR model with the multimodal feature set used for the classification of IGD and AUD outperformed the other models (accuracy: 0.712). The important features selected by the model highlighted that the IGD group had differential delta and beta source connectivity between right intrahemispheric regions and distinct sensor-level EEG activities. Among the NFs, sex and age were the important features for good model performance. CONCLUSIONS: Using ML techniques, we demonstrated the neurophysiological and neuropsychological similarities and differences between IGD (a BA) and AUD (a SUD).

Integrating substance use peer support and screening brief intervention and referral to treatment services in the emergency department: a descriptive study of the ED leads program.

BACKGROUND: The ED Leads program was introduced to 11 emergency departments (EDs) within New York City public hospitals from 2018 to 2019 to address a need for addiction support services in the ED. The purpose of this study is to (i) describe the ED Leads blended licensed-clinician and peer counselor team model in the ED at three hospitals, (ii) provide a descriptive analysis of patient engagement and referrals to substance use disorder (SUD) care post-intervention, and (iii) highlight potential barriers and facilitators to implementing the model. METHODS: The program intended to combine Screening Brief Intervention and Referral to Treatment and peer support services. The authors analyzed electronic medical records data for patients encountered by ED Leads in the first 120 days of program launch. Data included the outcome of an encounter when a patient was engaged with one or both staff types, and 7-day attendance at an SUD treatment appointment when a patient accepted a referral within the 11-hospital system. RESULTS: There were 1785 patients approached by ED Leads staff during the study period. Engagement differed by staff type and patient demographics, and encounter outcomes varied significantly by hospital. Eighty-four percent (N = 1503) of patients who were approached engaged with at least one staff type, and 6% (N = 86) engaged with both. Patients were predominantly male (N = 1438, 81%) with an average age of 45 (SD = 13), and enrolled in Medicaid (N = 1062, 59%). A majority (N = 801, 45%) had alcohol use disorder. Of the patients who accepted a referral within the system (N = 433), 63% received treatment services within 7 days of the ED Leads encounter, a majority at detoxification treatment (N = 252, 58%). CONCLUSIONS: This study describes the potential value and challenges of implementing a blended peer counselor and licensed clinician model in the ED to provide SUD services. While teams provided a high volume of referrals and the analysis of post-intervention treatment follow up is promising, the blended team model was not fully realized, making it difficult to assess the benefits of this combined service. Further research might examine patient outcomes among ED patients who are offered services by both a peer counselor and licensed clinician.

Clinical cutoffs of the Alcohol Use Disorder Identification Test for identification of DSM-5 alcohol use disorder: A psychometric evaluation in treatment-seeking patients.

The AUDIT is considered a gold-standard self-rating instrument used in various settings for the identification of alcohol use disorders. Although the AUDIT is widely used, there is not yet a consensus concerning the clinical cutoff for the identification of an alcohol use disorder according to the DSM-5. The current study aimed to investigate the optimal gender-based cutoffs on both AUDIT and AUDIT-C for different levels of AUD severity according to DSM-5. METHODS: A sample (n=271) was collected from two clinical trials including adult individuals with no AUD, and AUD recruited at a specialized addiction clinic, in Stockholm, Sweden. Receiver operating characteristic curves were estimated for AUDIT and AUDIT-C scores on AUD severity levels using dichotomized variables for each diagnostic level. Optimal cutoff scores were decided based on the measures of sensitivity, specificity and Youden's Index. RESULTS: The optimal cutoff score for both men and women was 7 on the AUDIT as the diagnostic threshold, i.e., mild AUD. For both moderate and severe AUD, the optimal cutoff score was 18/16 in men/women. On AUDIT-C, the optimal cutoff score was suggested to be 6/4 in men/women, and was suggested as one common cutoff score for all levels of AUD. DISCUSSION: In a treatment-seeking sample, gender-based cutoffs on AUDIT were not motivated, instead seven was suggested as the common diagnostic threshold for a mild AUD. On AUDIT-C, a general cutoff for all levels of AUDs was suggested, and gender specific cutoffs were justified to achieve optimal sensitivity to detect an AUD.

Comparative analysis between CDT in serum and Ethyl glucuronide in hair to define the best reliable tool for the diagnosis of alcohol abuse.

The increase in alcohol consumption in society has not only led to a number of medical issues but has also become a matter of considerable legal importance. Thus, there is both scientific interest and the necessity to diagnose alcohol abuse in the application of the provisions of the law through laboratory tests that ensure maximum objectivity. The purpose of this work is to study and compare the diagnostic performance of two of the main markers of alcohol abuse, serum carbohydrate-deficient transferrin (CDT) and Ethyl glucuronide (EtG) in a group of 336 driving under the influence (DUI) of alcohol offenders. Thus, it is possible to establish the best marker of alcohol consumption in order to assess the fitness to drive of DUI subjects.EtG was detected in 55 hair samples, while CDT was detected in 5 blood samples. Of the EtG-positive subjects 96,4% had CDT values below the cut-off. While CDT refers to an alcohol consumption of approximately the previous 10 days, EtG allows to detect an excessive alcohol consumption of the last few months. Because of these two different time-windows, EtG proves to be more reliable, since it is more difficult for subjects to change their drinking practice to test negative to toxicological analysis. The determination of Ethyl glucuronide on hair matrix is a valuable tool for the diagnosis of alcohol abuse, with high sensitivity and specificity and certainly greater reliability than traditional markers such as CDT, being a direct marker of alcohol consumption.

The possible clinical utility of the alcohol biomarker phosphatidylethanol for managing suspected alcohol withdrawal in hospitalized patients: A case report.

BACKGROUND AND OBJECTIVES: The decision to initiate pharmacotherapy for alcohol withdrawal is typically based on examining self-reported use of alcohol and symptoms of withdrawal. Phosphatidylethanol (PEth) is a biomarker that could aim in clinical decision-making in withdrawal management. METHODS: This report describes three cases highlighting the potential clinical utility of PEth in caring for individuals at risk for alcohol withdrawal. RESULTS: Two of the cases received phenobarbital when their PEth showed that the risk of withdrawal was low and one case where PEth could have shown this was needed. The results were only available in a delayed fashion, however, could have been useful in informing clinical care. DISCUSSION AND CONCLUSION: PEth can be a useful tool if available without delay. PEth can be used to quickly rule out alcohol withdrawal and avoid misdiagnoses and prolonged hospital stays. SCIENTIFIC SIGNIFICANCE: This is a clinical case study available looking at PEth and withdrawal in hospitalized patients. It proposes that PEth can be used as a way to quickly rule out alcohol withdrawal to avoid misdiagnoses and the possibility of a prolonged hospital stay.

Effectiveness and cost-effectiveness of a transdiagnostic intervention for alcohol misuse and psychological distress in humanitarian settings: study protocol for a randomised controlled trial in Uganda.

BACKGROUND: The war in South Sudan has displaced more than four million people, with Uganda hosting the largest number of South Sudanese refugees. Research in Uganda has shown elevated levels of alcohol misuse and psychological distress among these refugees. The World Health Organization (WHO) has developed a trans-diagnostic scalable psychological intervention called Problem Management Plus (PM +) to reduce psychological distress among populations exposed to adversities. Our study aims to evaluate the effectiveness and cost-effectiveness of the CHANGE intervention, which builds on PM + , to also address alcohol misuse through problem-solving therapy and selected behavioural strategies for dealing with alcohol use disorders. We hypothesise that the CHANGE intervention together with enhanced usual care (EUC) will be superior to EUC alone in increasing the percentage of days abstinent. METHODS: A parallel-arm individually randomised controlled trial will be conducted in the Rhino Camp and Imvepi settlements in Uganda. Five hundred adult male South Sudanese refugees with (i) elevated levels of alcohol use (between 8 and 20 on the Alcohol Use Disorder Identification Test [AUDIT]); and (ii) psychological distress (> 16 on the Kessler Psychological Distress Scale) will be randomly assigned 1:1 to EUC or CHANGE and EUC. CHANGE will be delivered by lay healthcare providers over 6 weeks. Outcomes will be assessed at 3 and 12 months post-randomisation. The primary outcome is the percentage of days abstinent, measured by the timeline follow-back measure at 3 months. Secondary outcomes include percentage of days abstinent at 12 months and alcohol misuse (measured by the AUDIT), psychological distress (i.e. depression, anxiety, posttraumatic stress disorder), functional disability, perpetration of intimate partner violence, and health economic indicators at 3 and 12 months. A mixed-methods process evaluation will investigate competency, dose, fidelity, feasibility, and acceptability. Primary analyses will be intention-to-treat. DISCUSSION: CHANGE aims to address alcohol misuse and psychological distress with male refugees in a humanitarian setting. If it is proven to be effective, it can help fill an important under-researched gap in humanitarian service delivery. TRIAL REGISTRATION: ISRCTN ISRCTN10360385. Registered on 30 January 2023.

Six-year postoperative associations between the Minnesota Multiphasic Personality Inventory - 3 (MMPI-3) and weight recurrence, eating behaviors, adherence, alcohol misuse, and quality of life.

BACKGROUND: Metabolic and bariatric surgery (MBS) leads to beneficial and sustained outcomes. However, many patients evidence weight recurrence and psychosocial functioning may be associated with weight recurrence. The Minnesota Multiphasic Personality Inventory - 3 (MMPI-3) is validated for use in presurgical MBS evaluations and likely has clinical utility in understanding weight recurrence and other aspects of postoperative functioning. OBJECTIVE: The objective of the current investigation is to understand how postoperative psychosocial functioning relates to weight recurrence and other behaviors and constructs 6 years after MBS. SETTING: Cleveland Clinic Bariatric and Metabolic Institute. METHODS: A sample of 163 participants consented to take a battery of self-report measures related to psychological functioning, eating behaviors, adherence, alcohol misuse, and quality of life along with their postoperative weight. MMPI-3 scale scores were prorated from the Minnesota Multiphasic Personality Inventory - 2 - Restructured Form (MMPI-2-RF) or scored from the Minnesota Multiphasic Personality Inventory - 2 - Restructured Form - Expanded (MMPI-2-RF-EX). RESULTS: Weight recurrence was quite variable in this sample. Postoperative MMPI-3 scales related to emotional/internalizing dysfunction were modestly associated with higher weight recurrence. Postoperative MMPI-3 scale scores also demonstrated associations with other postoperative outcomes including measures of eating behaviors, adherence, alcohol misuse, and quality of life. CONCLUSIONS: Postoperative psychosocial functioning as assessed by the MMPI-3 was associated with weight recurrence and a number of other problematic psychological outcomes beyond weight recurrence.

Why Substance Use Screening Frequency Matters in Adult Primary Care.

BACKGROUND: Evidence-based early intervention practices, such as screening, brief intervention, and referral to treatment (SBIRT), are recommended to identify unhealthy use and provide linkages to treatment to prevent substance use disorder. However, there is a lack of screening frequency recommendations. Pennsylvania (PA) SBIRT was a five-year initiative to implement SBIRT in primary care sites. This study evaluated the effects of screening policies in PA SBIRT on changes in substance use risk category over time. METHODS: Quantitative data were obtained from seven primary care sites implementing SBIRT, with patients who were screened twice using the Drug Abuse Screening Test, US Alcohol Use Disorders Identification Test, or the Alcohol, Smoking, and Substance Involvement Screening Test and experienced any risk category change (n = 1,364). Patients were 49% male, 51% female, 81% White, and 14% Black. An intercept-only generalized estimating equation model tested whether category changes between screen one and screen two were statistically significant. RESULTS: The average number of months between screenings for those experiencing a risk category change was 9.01 with a range of 0 to 46 months. There was a statistically significant change between screening one and screening two (P > 0.001), with 44% undergoing a decrease in risk category and 56% undergoing an increase in risk category. Of those undergoing an increase in risk category, 91% moved from a negative/low risk category to a positive/higher risk category. CONCLUSIONS: Results suggest that frequent screening policies may improve identification of substance use risk category changes. The results act as a catalyst to further evaluate recommended screening intervals for detecting unhealthy substance use to increase identification and patient connection.

Management of alcohol withdrawal syndrome in patients with alcohol-associated liver disease.

Alcohol-associated liver disease is a common and severe sequela of excessive alcohol use; effective treatment requires attention to both liver disease and underlying alcohol use disorder (AUD). Alcohol withdrawal syndrome (AWS) can be dangerous, is a common barrier to AUD recovery, and may complicate inpatient admissions for liver-related complications. Hepatologists can address these comorbid conditions by learning to accurately stage alcohol-associated liver disease, identify AUD using standardized screening tools (eg, Alcohol Use Disorder Identification Test), and assess risk for and symptoms of AWS. Depending on the severity, alcohol withdrawal often merits admission to a monitored setting, where symptom-triggered administration of benzodiazepines based on standardized scoring protocols is often the most effective approach to management. For patients with severe liver disease, selection of benzodiazepines with less dependence on hepatic metabolism (eg, lorazepam) is advisable. Severe alcohol withdrawal often requires a "front-loaded" approach with higher dosing, as well as intensive monitoring. Distinguishing between alcohol withdrawal delirium and HE is important, though it can be difficult, and can be guided by differentiating clinical characteristics, including time to onset and activity level. There is little data on the use of adjuvant medications, including anticonvulsants, dexmedetomidine, or propofol, in this patient population. Beyond the treatment of AWS, inpatient admission and outpatient hepatology visits offer opportunities to engage in planning for ongoing management of AUD, including initiation of medications for AUD and referral to additional recovery supports. Hepatologists trained to identify AUD, alcohol-associated liver disease, and risk for AWS can proactively address these issues, ensuring that patients' AWS is managed safely and effectively and supporting planning for long-term recovery.

Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models.

BACKGROUND: Identifying co-occurring mental disorders and elevated risk is vital for optimization of healthcare processes. In this study, we will use DeepBiomarker2, an updated version of our deep learning model to predict the adverse events among patients with comorbid post-traumatic stress disorder (PTSD) and alcohol use disorder (AUD), a high-risk population. METHODS: We analyzed electronic medical records of 5565 patients from University of Pittsburgh Medical Center to predict adverse events (opioid use disorder, suicide related events, depression, and death) within 3 months at any encounter after the diagnosis of PTSD+AUD by using DeepBiomarker2. We integrated multimodal information including: lab tests, medications, co-morbidities, individual and neighborhood level social determinants of health (SDoH), psychotherapy and veteran data. RESULTS: DeepBiomarker2 achieved an area under the receiver operator curve (AUROC) of 0.94 on the prediction of adverse events among those PTSD+AUD patients. Medications such as vilazodone, dronabinol, tenofovir, suvorexant, modafinil, and lamivudine showed potential for risk reduction. SDoH parameters such as cognitive behavioral therapy and trauma focused psychotherapy lowered risk while active veteran status, income segregation, limited access to parks and greenery, low Gini index, limited English-speaking capacity, and younger patients increased risk. CONCLUSIONS: Our improved version of DeepBiomarker2 demonstrated its capability of predicting multiple adverse event risk with high accuracy and identifying potential risk and beneficial factors.

Screening for Alcohol Use Disorder and Management of Alcohol Withdrawal Syndrome in Critical Care Patients.

BACKGROUND: Evidence-based research indicates that subjective questionnaires should be eliminated in screening for alcohol use disorder and management of alcohol withdrawal syndrome in critical care patients. However, transitioning clinicians away from these screening tools remains challenging. OBJECTIVE: To improve screening for alcohol use disorder and management of alcohol withdrawal syndrome in the critical care setting by implementing an evidence-based alcohol use disorder screening tool and alcohol withdrawal syndrome protocol for critical care patients. METHODS: The project site was a 17-bed adult medical intensive care unit in a large, southeastern US teaching hospital. Interventions consisted of the elimination of previously used tools such as the Clinical Institute Withdrawal Assessment for Alcohol-Revised and implementation of the Prediction of Alcohol Withdrawal Severity Scale for alcohol use disorder screening and the Richmond Agitation-Sedation Scale and symptom-triggered benzodiazepine administration for alcohol withdrawal syndrome management. RESULTS: Alcohol use disorder screening among the critical care patient population increased by 49% from before to after the intervention. Of the patients at risk for withdrawal, 79% had an order for monitoring with the new intensive care unit alcohol withdrawal protocol in the postintervention group, compared with 35% who had an order for monitoring with the Clinical Institute Withdrawal Assessment for Alcohol-Revised in the preintervention group. CONCLUSION: The elimination of previously used tools and the implementation of the Prediction of Alcohol Withdrawal Severity Scale and the new intensive care unit alcohol withdrawal protocol improved alcohol use disorder screening and alcohol withdrawal syndrome management among critical care patients.

Alcohol Misuse Screening Performance Improvement Initiative.

BACKGROUND: A trauma registry review of our trauma center's alcohol misuse screening compliance noted inconsistent screening and data collection methods, putting our American College of Surgeons trauma center reverification at risk for a deficiency. OBJECTIVE: The objective of this study was to evaluate an alcohol misuse screening improvement initiative on screening compliance in trauma patients. METHODS: This before and after analysis of a quality improvement initiative to improve alcohol misuse screening was conducted from 2019 to 2021 at a Southwestern U.S. Level II trauma center on admitted trauma patients aged 13 years and older. The multicomponent initiative included a change in the screening instrument and timing of application, implementing electronic medical record documentation screens, and educating staff. The primary outcome measure was screening adherence. RESULTS: A total of n = 4,734 patients were included in the study period. Alcohol misuse screening improved from 2.9% to 87.4% and remained sustained for over a year after the initiative's implementation. CONCLUSION: The performance improvement initiative improved the alcohol misuse screening process, resulting in consistent screenings exceeding the American College of Surgeons standards of 80% for verified trauma centers.