Effect of a Motivational Interviewing-Based Brief Intervention on Alcohol Use Behavior in Korean Internal Medicine Settings

A motivational interviewing (MI)-based brief intervention was performed with high-risk drinking outpatients screened at internal medicine settings in Korea after the doctor advised them to reduce alcohol consumption. Participants were assigned to a MI group or a control group where they received a brochure with information on the harm of high-risk drinking and tips on managing drinking habits. Four-week follow-up results showed that Alcohol Use Disorders Identification Test-Concise (AUDIT-C) scores decreased in the MI group and the control group compared to baseline scores. The difference between groups was not significant; however, group by time interaction was significant between the two groups: the slope of decreasing AUDIT-C scores over time was greater in the intervention group than in the control group (P = 0.042). The findings suggest that short comments received from doctors might be a key component in performing brief interventions for high-risk drinking management in Korean clinical settings. Trial Registration: Clinical Research Information Service Identifier: KCT0002719.

Common Laboratory Parameters Are Useful for Screening for Alcohol Use Disorder: Designing a Predictive Model Using Machine Learning

The diagnosis of alcohol use disorder (AUD) remains a difficult challenge, and some patients may not be adequately diagnosed. This study aims to identify an optimum combination of laboratory markers to detect alcohol consumption, using data science. An analytical observational study was conducted with 337 subjects (253 men and 83 women, with a mean age of 44 years (10.61 Standard Deviation (SD)). The first group included 204 participants being treated in the Addictive Behaviors Unit (ABU) from Albacete (Spain). They met the diagnostic criteria for AUD specified in the Diagnostic and Statistical Manual of mental disorders fifth edition (DSM-5). The second group included 133 blood donors (people with no risk of AUD), recruited by cross-section. All participants were also divided in two groups according to the WHO classification for risk of alcohol consumption in Spain, that is, males drinking more than 28 standard drink units (SDUs) or women drinking more than 17 SDUs. Medical history and laboratory markers were selected from our hospital's database. A correlation between alterations in laboratory markers and the amount of alcohol consumed was established. We then created three predicted models (with logistic regression, classification tree, and Bayesian network) to detect risk of alcohol consumption by using laboratory markers as predictive features. For the execution of the selection of variables and the creation and validation of predictive models, two tools were used: the scikit-learn library for Python, and the Weka application. The logistic regression model provided a maximum AUD prediction accuracy of 85.07%. Secondly, the classification tree provided a lower accuracy of 79.4%, but easier interpretation. Finally, the Naive Bayes network had an accuracy of 87.46%. The combination of several common biochemical markers and the use of data science can enhance detection of AUD, helping to prevent future medical complications derived from AUD.

Research Needs for Inpatient Management of Severe Alcohol Withdrawal Syndrome: An Official American Thoracic Society Research Statement

Background: Severe alcohol withdrawal syndrome (SAWS) is highly morbid, costly, and common among hospitalized patients, yet minimal evidence exists to guide inpatient management. Research needs in this field are broad, spanning the translational science spectrum. Goals: This research statement aims to describe what is known about SAWS, identify knowledge gaps, and offer recommendations for research in each domain of the Institute of Medicine T0-T4 continuum to advance the care of hospitalized patients who experience SAWS. Methods: Clinicians and researchers with unique and complementary expertise in basic, clinical, and implementation research related to unhealthy alcohol consumption and alcohol withdrawal were invited to participate in a workshop at the American Thoracic Society 2019 International Conference. The committee was subdivided into four groups on the basis of interest and expertise: T0-T1 (basic science research with translation to humans), T2 (research translating to patients), T3 (research translating to clinical practice), and T4 (research translating to communities). A medical librarian conducted a pragmatic literature search to facilitate this work, and committee members reviewed and supplemented the resulting evidence, identifying key knowledge gaps. Results: The committee identified several investigative opportunities to advance the care of patients with SAWS in each domain of the translational science spectrum. Major themes included 1) the need to investigate non-γ-aminobutyric acid pathways for alcohol withdrawal syndrome treatment; 2) harnessing retrospective and electronic health record data to identify risk factors and create objective severity scoring systems, particularly for acutely ill patients with SAWS; 3) the need for more robust comparative-effectiveness data to identify optimal SAWS treatment strategies; and 4) recommendations to accelerate implementation of effective treatments into practice. Conclusions: The dearth of evidence supporting management decisions for hospitalized patients with SAWS, many of whom require critical care, represents both a call to action and an opportunity for the American Thoracic Society and larger scientific communities to improve care for a vulnerable patient population. This report highlights basic, clinical, and implementation research that diverse experts agree will have the greatest impact on improving care for hospitalized patients with SAWS.

Screening for risky drinkers among hospitalised inpatients using the AUDIT: A feasibility, point prevalence and data linkage study

INTRODUCTION

Risky drinking frequently remains undiagnosed or untreated, including in hospitalised inpatients. Using the Alcohol Use Disorders Identification Test (AUDIT), we assessed the feasibility of screening for risky drinking and whether screening results aligned with alcohol-attributable diagnoses in an inpatient population.

METHODS

We conducted a cross-sectional survey across a tertiary health service in Melbourne, Australia. Researchers collected demographics, AUDIT scores and acceptability from all eligible adult inpatients available on day of survey. Main outcomes were prevalence of risky drinking (AUDIT ≥8), mean AUDIT score and patient acceptability. Identification of risky drinking by the abbreviated 'AUDIT-C' or discharge diagnoses (extracted by data-linkage with medical records) was compared.

RESULTS

Of 473 eligible inpatients, 61% (n = 289) participated, 22% (n = 103) were unavailable and 17% (n = 81) declined. Median age was 64 years (IQR = 48, 76); 54% (n = 157) were male. Mean AUDIT score was 4.4 (SD = 5.5). Risky drinking prevalence was 20% (n = 57), 2% (n = 7) had scores suggestive of dependence (AUDIT ≥20, a subset of risky drinkers). Odds of risky drinking were reduced in females (OR 0.19, 95% CI 0.09, 0.41; P < 0.001) and participants ≥70 years (OR 0.22, 95% CI 0.07, 0.71; P = 0.01). Alcohol-attributable diagnoses did not consistently align with risky drinking, with half of inpatients with wholly attributable diagnoses classified as low risk. Most inpatients considered screening acceptable (89%, n = 256).

DISCUSSION AND CONCLUSIONS

Pre-admission risky drinking was evident in one-fifth of hospital inpatients, but alcohol-attributable diagnoses were unreliable proxy measures of risky drinking. Screening in-patients with the AUDIT was acceptable to inpatients and can be feasibly implemented in an Australian tertiary hospital setting.

Harmful alcohol use among acutely ill hospitalized medical patients in Oslo and Moscow: A cross-sectional study

BACKGROUND

The aim was to estimate the prevalence of harmful alcohol use in relation to socio-demographic characteristics among acutely ill medical patients, and examine identification measures of alcohol use, including the alcohol biomarker phosphatidylethanol 16:0/18:1 (PEth).

METHODS

A cross-sectional study, lasting one year at one hospital in Oslo, Norway and one in Moscow, Russia recruiting acute medically ill patients (≥ 18 years), able to give informed consent. Self-reported data on socio-demographics, mental distress (Symptom Check List-5), alcohol use (Alcohol Use Disorder Identification Test-4 (AUDIT-4) and alcohol consumption past 24 h were collected. PEth and alcohol concentration were measured in whole blood.

RESULTS

Of 5883 participating patients, 19.2% in Moscow and 21.1% in Oslo were harmful alcohol users, measured by AUDIT-4, while the prevalence of PEth-positive patients was lower: 11.4% in Oslo, 14.3% in Moscow. Men in Moscow were more likely to be harmful users by AUDIT-4 and PEth compared to men in Oslo, except of those being ≥ 71 years. Women in Oslo were more likely to be harmful users compared to those in Moscow by AUDIT-4, but not by PEth for those aged < 61 years.

CONCLUSIONS

The prevalence of harmful alcohol use was high at both study sites. The prevalence of harmful alcohol use was lower when assessed by PEth compared to AUDIT-4. Thus, self-reporting was the most sensitive measure in revealing harmful alcohol use among all groups except for women in Moscow. Hence, screening and identification with objective biomarkers and self-reporting might be a method for early intervention.

[Epidemiology of alcohol dependence]

Excessive alcohol consumption is the second leading preventable cause of death in France (49,000/year), after tobacco consumption. Several recent studies found that the alcohol-related negative health consequences may occurs with small amounts of alcohol, in particular cancers. Therefore, the risk thresholds for alcohol consumption have been recently recommended not to be higher than 100g/week. Early age of onset of alcohol use is a strong predictor of alcohol use disorders and alcohol-related negative health outcomes. Subjects with alcohol use disorders are underdiagnosed and undertreated, with less than 10-15% of patients with severe alcohol use disorders per DSM-5 criteria receiving treatment. Early treatment of patients with alcohol use disorders decreases the alcohol-related negative health outcomes.

Epidemiological and sociodemographic factors associated with complicated alcohol withdrawal syndrome

OBJECTIVES

To analyse the influence of epidemiological and sociodemographic factors in complicated alcohol withdrawal syndrome (AWS).

MATERIAL AND METHODS

A multicentre, observational prospective study was conducted on consecutively added patients with AWS hospitalised in internal medicine departments. We recorded sociodemographic, epidemiological, clinical and progression data. Complicated AWS was defined as that which progressed with seizures or delirium tremens.

RESULTS

We studied 228 episodes of AWS in 219 patients. The mean age was 54.5 years (SD, 11.5), and 90.8% were men. AWS was the cause for hospitalisation in 39.9% of the patients. Some 27.1% of the cases presented seizures, and 32.4% presented delirium tremens. The daily quantity of alcohol ingested was 17.8 standard drink units (SD, 21.4), with 16.6 years of dependence (SD, 11.3). The pattern of alcohol abuse was regular in 82.8% of the patients. Some 38.4% of the patients were married or had a partner, and 45.6% had children. Some 72.7% of the patients were unemployed or retired. Some 68.5% had only completed primary studies. Some 4.8% consumed cannabis, 5.2% consumed cocaine and 3% consumed opioids. The independent variables related to complicated AWS were consumption of a drug other than alcohol (OR, 5.3; 95% CI 1.5-18.7), low education level (OR, 3.4; 95% CI 1.6-7.3) and hospitalisation for AWS (OR, 2.9; 95% CI 1.5-5.6). The model's receiver operating characteristic area was 0.718 (95% CI 0.643-0.793).

CONCLUSIONS

Concomitant drug abuse and a low educational level could help identify patients at risk of complicated AWS.