Association between alcohol screening scores and mortality in black, Hispanic, and white male veterans

Integrated and collaborative care across the spectrum of alcohol-associated liver disease and alcohol use disorder

The public health impact of alcohol-associated liver disease (ALD), a serious consequence of problematic alcohol use, and alcohol use disorder (AUD) is growing, with ALD becoming a major cause of alcohol-associated death overall and the leading indication for liver transplantation in the United States. Comprehensive care for ALD often requires treatment of AUD. Although there is a growing body of evidence showing that AUD treatment is associated with reductions in liver-related morbidity and mortality, only a minority of patients with ALD and AUD receive this care. Integrated and collaborative models that streamline both ALD and AUD care for patients with ALD and AUD are promising approaches to bridge this treatment gap and rely on multidisciplinary and interprofessional teams and partnerships. Here, we review the role of AUD care in ALD treatment, the effects of AUD treatment on liver-related outcomes, the impact of comorbid conditions such as other substance use disorders, obesity, and metabolic syndrome, and the current landscape of integrated and collaborative care for ALD and AUD in various treatment settings. We further review knowledge gaps and unmet needs that remain, including the role of precision medicine, the application of harm reduction approaches, the impact of health disparities, and the need for additional AUD treatment options, as well as further efforts to support implementation and dissemination.

Racial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans

OBJECTIVE

Studies show that racially and ethnically minoritized veterans have a higher prevalence of alcohol use disorder (AUD) than White veterans. The investigators examined whether the relationship between self-reported race and ethnicity and AUD diagnosis remains after adjusting for alcohol consumption, and if so, whether it varies by self-reported alcohol consumption.

METHODS

The sample included 700,012 Black, White, and Hispanic veterans enrolled in the Million Veteran Program. Alcohol consumption was defined as an individual's maximum score on the consumption subscale of the Alcohol Use Disorders Identification Test (AUDIT-C), a screen for unhealthy alcohol use. A diagnosis of AUD, the primary outcome, was defined by the presence of relevant ICD-9 or ICD-10 codes in electronic health records. Logistic regression with interactions was used to assess the association between race and ethnicity and AUD as a function of maximum AUDIT-C score.

RESULTS

Black and Hispanic veterans were more likely than White veterans to have an AUD diagnosis despite similar levels of alcohol consumption. The difference was greatest between Black and White men; at all but the lowest and highest levels of alcohol consumption, Black men had 23%-109% greater odds of an AUD diagnosis. The findings were unchanged after adjustment for alcohol consumption, alcohol-related disorders, and other potential confounders.

CONCLUSIONS

The large discrepancy in the prevalence of AUD across groups despite a similar distribution of alcohol consumption levels suggests that there is racial and ethnic bias, with Black and Hispanic veterans more likely than White veterans to receive an AUD diagnosis. Efforts are needed to reduce bias in the diagnostic process to address racialized differences in AUD diagnosis.

Association Between Patterns of Alcohol Use and Short-Term Risk of Suicide Attempt Among Patients With and Without Reported Suicidal Ideation

OBJECTIVE

To evaluate the association between patterns of alcohol use and short-term risk of suicide attempt among patients with and without reported suicidal ideation.

METHODS

Kaiser Permanente Washington electronic health record data were used to identify mental health visits (1/1/2010-6/30/2015) with documented assessments for unhealthy alcohol use (AUDIT-C) and suicidal ideation (PHQ-9 ninth question). Logistic regression fit using generalized estimating equations were used to conduct visit-level analyses, accounting for correlation between individuals' assessments. Separate models evaluated the association between (1) level of alcohol consumption and (2) frequency of heavy episodic drinking (HED), in combination with suicidal ideation (any vs none), with suicide attempt within 90 days following each visit. Primary models adjusted for age, gender, race/ethnicity and visit year.

RESULTS

Of 59,705 visits (43,706 unique patients), 372 (0.62%) were followed by a suicide attempt within 90 days. The risk of suicide attempt was significantly higher for patients reporting suicidal ideation across all levels of alcohol consumption compared to patients reporting low-level alcohol use and no suicidal ideation, particularly high-level use (OR 9.77, 95% CI, 6.23-15.34). Similarly, risk of suicide attempt was higher for patients reporting suicidal ideation across all levels of HED relative to those reporting no HED or suicidal ideation, particularly HED monthly or more (OR 6.80, 95% CI 4.77-9.72). Among patients reporting no suicidal ideation, no associations were observed.

CONCLUSIONS

Findings underscore the potential value of offering alcohol-related care to patient reporting suicidal ideation. Additional strategies are needed to identify suicide risk among those reporting no suicidal ideation.

Short-term risk of suicide attempt associated with patterns of patient-reported alcohol use determined by routine AUDIT-C among adults receiving mental healthcare

OBJECTIVE

To evaluate the association between alcohol use routinely reported during outpatient mental healthcare visits and short-term risk of subsequent suicide attempt.

METHODS

Using a longitudinal retrospective-cohort design, electronic health records identified adult outpatient visits to a mental health provider (1/1/2010-6/30/2015) at Kaiser Permanente Washington with a documented Alcohol Use Disorders Identification Test-Consumption [AUDIT-C]. Suicide attempts within 90 days of AUDIT-C documentation were defined using death certificate cause-of-death and diagnosis codes (non-lethal). Visit-level analyses used generalized estimating equations to account for correlation between multiple AUDIT-Cs for individuals. Separate models evaluated the association between (1) level of consumption and (2) frequency of heavy drinking episodes and suicide attempts, adjusted for visit year, demographics, depressive symptom, and suicidal ideation.

RESULTS

Of 59,382 patient visits, 0.62% (N = 371) were followed by a suicide attempt within 90 days. Patients reporting high-level alcohol use were 1.77 times (95% CI, 1.22-2.57) more likely to attempt suicide than those reporting low-level use. Patients reporting daily or almost daily heavy drinking episodes were 2.33 times (95% CI, 1.38-3.93) more likely to attempt suicide than those reporting none.

CONCLUSIONS AND RELEVANCE

The AUDIT-C is a valuable tool for assessing patterns of patient-reported alcohol use associated with subsequent suicide attempt.

Level of Alcohol Use Associated with HIV Care Continuum Targets in a National U.S. Sample of Persons Living with HIV Receiving Healthcare

We evaluated associations between levels of alcohol use and HIV care continuum components using national Veterans Aging Cohort Study data for all patients with HIV and AUDIT-C screening (2/1/2008-9/30/2014). Poisson regression models evaluated associations between alcohol use levels (non-drinking, low-, medium-, high-, and very high-level drinking) and: (1) engagement with care (documented CD4 cells/µl or viral load copies/ml labs), (2) ART treatment (≥ 1 prescription), and (3) viral suppression (HIV RNA < 500 copies/ml) within one year. Among 33,224 patients, alcohol use level was inversely associated with all care continuum outcomes (all p < 0.001). Adjusted prevalence of care engagement ranged from 77.8% (95% CI 77.1-78.4%) for non-drinking to 69.1% (66.6-71.6%) for high-level drinking. The corresponding range for ART treatment was 74.0% (73.3-74.7%) to 60.1% (57.3-62.9%) and for viral suppression was 57.3% (56.5-58.1%) to 38.3% (35.6-41.1%). Greater alcohol use is associated with suboptimal HIV treatment across the HIV care continuum.

Racial/ethnic differences in the association between alcohol use and mortality among men living with HIV

BACKGROUND

Increasing alcohol use is associated with increased risk of mortality among patients living with HIV (PLWH). This association varies by race/ethnicity among general outpatients, but racial/ethnic variation has not been investigated among PLWH, among whom racial/ethnic minorities are disproportionately represented.

METHODS

VA electronic health record data from the Veterans Aging Cohort Study (2008-2012) were used to describe and compare mortality rates across race/ethnicity and levels of alcohol use defined by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire. Within each racial/ethnic group, Cox proportional hazards models, adjusted for age, disease severity, and comorbidities, compared mortality risk for moderate-risk (AUDIT-C = 4-7) and high-risk (AUDIT-C ≥ 8) relative to lower-risk (AUDIT-C = 1-3) alcohol use.

RESULTS

Mean follow-up time among black (n = 8518), Hispanic (n = 1353), and white (n = 7368) male PLWH with documented AUDIT-C screening (n = 17,239) was 4.3 years. Black PLWH had the highest mortality rate among patients reporting lower-risk alcohol use (2.9/100 person-years) relative to Hispanic and white PLWH (1.8 and 2.3, respectively) (p value for overall comparison = 0.011). Mortality risk was increased for patients reporting high-risk relative to lower-risk alcohol use in all racial/ethnic groups [black adjusted hazard ratio (AHR) = 1.36, 95% confidence interval (CI) 1.12-1.66; Hispanic AHR = 2.18, 95% CI 1.30-3.64; and white AHR = 2.04, 95% CI 1.61-2.58]. For only white PLWH, mortality risk was increased for patients reporting moderate-relative to lower-risk alcohol use (black AHR = 1.09, 95% CI 0.93-1.27; Hispanic AHR = 1.36, 95% CI 0.89-2.09; white AHR = 1.51, 95% CI 1.28-1.77).

CONCLUSION

Among all PLWH, mortality risk was increased among patients reporting high-risk alcohol use across all racial/ethnic groups, but mortality risk was only increased among patients reporting moderate-risk relative to lower-risk alcohol use among white PLWH, and black patients appeared to have higher mortality risk relative to white patients at lower-risk levels of alcohol use. Findings of the present study further underscore the need to address unhealthy alcohol use among PLWH, and future research is needed to understand mechanisms underlying observed differences.

Elevated inflammation in association with alcohol abuse among Blacks but not Whites: results from the MIDUS biomarker study

Some studies document racial disparities in self-reported health associated with alcohol use and abuse. However, few studies examined biomarkers that underlie the onset of alcohol-related chronic diseases. We investigated whether the association between alcohol abuse and five biomarkers of inflammation (CRP, IL-6, fibrinogen, E-selectin, sICAM-1) vary between Black and White Americans aged 35 to 84 (n = 1173) from the Midlife in the United States Biomarker Study. Multivariable Ordinary Least Squares regressions were used to assess Black-White differences in the association between alcohol abuse and the biomarkers. Race moderated the association between alcohol abuse and CRP (b = 0.56, SE = 0.28, p = 0.048), IL-6 (b = 0.65, SE = 0.22, p = 0.004), and a composite inflammation score (b = 0.014, SE = 0.07, p = 0.041). These findings potentially shed light for why alcohol has a stronger negative association with poorer health for Blacks compared to Whites. Analysis should be replicated in larger prospective cohorts.

The association between alcohol abuse and neuroendocrine system dysregulation: Race differences in a National sample

Health outcomes, including chronic disease and mortality, attributed to or associated with alcohol abuse are discrepant between African Americans and Whites. To date, the topic is not fully understood and few studies conducted have used biomarker indicators of health. We investigated whether the association between alcohol abuse and biomarkers of the neuroendocrine system vary between black or African American and White respondents aged 34-84 from the Midlife in the United States Study (MIDUS) II (2004-2006) (n=1129). Alcohol abuse was assessed with a modified version of the Michigan Alcohol Screening Test. Ordinary least squared (OLS) regression was used to evaluate whether race moderated the associations between alcohol abuse and four biomarkers-urinary cortisol and serum dehydroepiandrosterone sulfate (DHEA-S), epinephrine and norepinephrine-and two composite summary scores, each consisting of two components that characterize the hypothalamic pituitary adrenal (HPA)-axis and sympathetic nervous systems (SNS), respectively. Covariates included age, sex, education, income, current drinking, smoking, exercise, fast food consumption, heart disease, blood pressure, diabetes, body mass index, medication use, anxiety/depression, sleep duration, and cholesterol markers. Race significantly moderated the associations between alcohol abuse and norepinephrine concentration (χ² [1]=4.48, p=0.034) and the SNS composite score (χ² [1]=5.83, p=0.016). Alcohol abuse was associated with higher mean norepinephrine levels (b=0.26, standard error (SE)=0.12, p=0.034) and SNS composite score (b=0.23, SE=0.11, p=0.016) for African Americans compared to Whites. Interestingly, for Whites a paradoxical association between alcohol abuse, norepinephrine and SNS levels was observed; those who abused alcohol had lower mean norepinephrine levels than non-abusers. Race differences in neuroendocrine response could be biological pathways that contribute the excess risk of chronic disease and mortality attributed to alcohol abuse among African Americans compared to Whites. Replication of these analyses in larger cohorts are warranted in addition to further studies of underlying mechanisms among Blacks and Whites separately.

Racial Disparities in the Association between Alcohol Use Disorders and Health in Black and White Women

Adverse health attributed to alcohol use disorders (AUD) is more pronounced among black than white women. We investigated whether socioeconomic status (education and income), health care factors (insurance, alcoholism treatment), or psychosocial stressors (stressful life events, racial discrimination, alcoholism stigma) could account for black-white differences in the association between AUD and physical and functional health among current women drinkers 25 years and older (N = 8,877) in the National Epidemiological Survey on Alcohol and Related Conditions. Generalized linear regression tested how race interacted with the association between 12-month DSM-IV AUD in Wave 1 (2001-2002) and health in Wave 2 (2004-2005), adjusted for covariates (age group, alcohol consumption, smoking, body mass index, physical activity, diabetes, cardiovascular disease, and arthritis). Black women with AUD had poorer health than white women with AUD (β = -3.18, SE = 1.28, p < .05). This association was partially attenuated after adjusting for socioeconomic status, health care, and psychosocial factors (β = -2.64, SE = 1.27, p < .05). In race-specific analyses, AUD was associated with poorer health for black but not white women. Accounting for black-white differences in AUD and physical and functional health among women requires investigation beyond traditional explanatory mechanisms.

Racial/ethnic differences in initiation of and engagement with addictions treatment among patients with alcohol use disorders in the veterans health administration

OBJECTIVE

Specialty addictions treatment can improve outcomes for patients with alcohol use disorders (AUD). Thus, initiation of and engagement with specialty addictions treatment are considered quality care for patients with AUD. Previous studies have demonstrated racial/ethnic differences in alcohol-related care but whether differences exist in initiation of and engagement with specialty addictions treatment among patients with clinically recognized alcohol use disorders is unknown. We investigated racial/ethnic variation in initiation of and engagement with specialty addictions treatment in a national sample of Black, Hispanic, and White patients with clinically recognized alcohol use disorders (AUD) from the US Veterans Health Administration (VA).

METHODS

National VA data were extracted for all Black, Hispanic, and White patients with a diagnosed AUD during fiscal year 2012. Mixed effects regression models estimated the odds of two measures of initiation (an initial visit within 180days of diagnosis; and initiation defined consistent with Healthcare Effectiveness Data and Information Set (HEDIS) as a documented visit ≤14days after index visit or inpatient admission), and three established measures of treatment engagement (≥3 visits within first month after initiation; ≥2 visits in each of the first 3months after initiation; and ≥2 visits within 30days of HEDIS initiation) for Black and Hispanic relative to White patients after adjustment for facility- and patient-level characteristics.

RESULTS

Among 302,406 patients with AUD, 30% (90,879) initiated treatment within 180days of diagnosis (38% Black, 32% Hispanic, and 27% White). Black patients were more likely to initiate treatment than Whites for both measures of initiation [odds ratio (OR) for initiation: 1.4, 95% confidence interval (CI) 1.4-1.4; OR for HEDIS initiation: 1.1, 95% CI: 1.1-1.1]. Hispanic patients were more likely than White patients to initiate treatment within 180days (OR: 1.2, 95% CI 1.2-1.3) but HEDIS initiation did not differ between Hispanic and White patients. Engagement results varied depending on the measure but was more likely for Black patients relative to White for all measures (OR for engagement in first month: 1.1, 95% CI: 1.0-1.1; OR for engagement in first three months: 1.2, 95% CI: 1.1-1.2; OR for HEDIS measure: 1.1, 95% CI: 1.0-1.1), and did not differ between Hispanic and White patients.

CONCLUSIONS

After accounting for facility- and patient-level characteristics, Black and Hispanic patients with AUD were more likely than Whites to initiate specialty addictions treatment, and Black patients were more likely than Whites to engage. Research is needed to understand underlying mechanisms and whether differences in initiation of and engagement with care influence health outcomes.

Predictive validity of clinical AUDIT-C alcohol screening scores and changes in scores for three objective alcohol-related outcomes in a Veterans Affairs population

AIMS

To evaluate the association between Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) alcohol screening scores, collected as part of routine clinical care, and three outcomes in the following year (Aim 1), and the association between changes in AUDIT-C risk group at 1-year follow-up and the same outcomes in the subsequent year (Aim 2).

DESIGN

Cohort study.

SETTING

Twenty-four US Veterans Affairs (VA) healthcare systems (2004-07), before systematic implementation of brief intervention.

PARTICIPANTS

A total of 486 115 out-patients with AUDIT-Cs documented in their electronic health records (EHRs) on two occasions ≥ 12 months apart ('baseline' and 'follow-up').

MEASUREMENTS

Independent measures were baseline AUDIT-C scores and change in standard AUDIT-C risk groups (no use, low-risk use and mild, moderate, severe misuse) from baseline to follow-up. Outcome measures were (1) high-density lipoprotein cholesterol (HDL), (2) alcohol-related gastrointestinal hospitalizations ('GI hospitalizations') and (3) physical trauma, each in the years after baseline and follow-up.

FINDINGS

Baseline AUDIT-C scores had a positive association with outcomes in the following year. Across AUDIT-C scores 0-12, mean HDL ranged from 41.4 [95% confidence interval (CI) = 41.3-41.5] to 53.5 (95% CI = 51.4-55.6) mg/l, and probabilities of GI hospitalizations from 0.49% (95% CI = 0.48-0.51%) to 1.8% (95% CI = 1.3-2.3%) and trauma from 3.0% (95% CI = 2.95-3.06%) to 6.0% (95% CI = 5.2-6.8%). At follow-up, patients who increased to moderate or severe alcohol misuse had consistently higher mean HDL and probabilities of subsequent GI hospitalizations or trauma compared with those who did not (P-values all < 0.05). For example, among those with baseline low-risk use, in those with persistent low-risk use versus severe misuse at follow-up, the probabilities of subsequent trauma were 2.65% (95% CI = 2.54-2.75%) versus 5.15% (95% CI = 3.86-6.45%), respectively. However, for patients who decreased to lower AUDIT-C risk groups at follow-up, findings were inconsistent across outcomes, with only mean HDL decreasing in most groups that decreased use (P-values all < 0.05).

CONCLUSIONS

When AUDIT-C screening is conducted in clinical settings, baseline AUDIT-C scores and score increases to moderate-severe alcohol misuse at follow-up screening appear to have predictive validity for HDL cholesterol, alcohol-related gastrointestinal hospitalizations and physical trauma. Decreasing AUDIT-C scores collected in clinical settings appear to have predictive validity for only HDL.

Unhealthy alcohol use in primary care patients who screen positive for drug use

BACKGROUND

Unhealthy alcohol use (UAU) is common among people who use other drugs; however, little information is available about UAU among patients who screen positive for drugs in primary care, where the clinical priority might be assumed to be drug use. This study aimed at describing the occurrence of UAU and its association with substance use-related outcomes in such patients.

METHODS

This cohort study is a secondary analysis of data from a randomized trial of brief intervention for primary care patients screening positive for drug use. UAU was assessed at baseline; the main independent variable was any heavy drinking day in the past month. Outcomes including drug use characteristics and substance use-related consequences were assessed at baseline and 6 months later.

RESULTS

Of 589 primary care patients with drug use, 48% had at least 1 past-month heavy drinking day. The self-identified main drug was marijuana for 64%, cocaine for 18%, and an opioid for 16%. Any heavy drinking at baseline was negatively associated with number of days use of the main drug at 6 months (incidence rate ratio [IRR] = 0.75, 95% confidence interval [CI]: 0.62-0.91), but positively associated with the use of more than 1 drug (IRR = 1.73, 95% CI: 1.17-2.55) and unsafe sex (odds ratio [OR] = 1.90, 95% CI: 1.21-2.98).

CONCLUSION

Unhealthy alcohol use is common among patients identified by screening in primary care as using other drugs. Unexpectedly, UAU was negatively associated with days of main drug use. But, as expected, it was positively associated with other drug use characteristics and substance use-related consequences. These findings suggest that attention should be given to alcohol use among primary care patients who use other drugs.

Inconsistencies between alcohol screening results based on AUDIT-C scores and reported drinking on the AUDIT-C questions: prevalence in two US national samples

Background

The AUDIT-C is an extensively validated screen for unhealthy alcohol use (i.e. drinking above recommended limits or alcohol use disorder), which consists of three questions about alcohol consumption. AUDIT-C scores ≥4 points for men and ≥3 for women are considered positive screens based on US validation studies that compared the AUDIT-C to “gold standard” measures of unhealthy alcohol use from independent, detailed interviews. However, results of screening—positive or negative based on AUDIT-C scores—can be inconsistent with reported drinking on the AUDIT-C questions. For example, individuals can screen positive based on the AUDIT-C score while reporting drinking below US recommended limits on the same AUDIT-C. Alternatively, they can screen negative based on the AUDIT-C score while reporting drinking above US recommended limits. Such inconsistencies could complicate interpretation of screening results, but it is unclear how often they occur in practice.

Methods

This study used AUDIT-C data from respondents who reported past-year drinking on one of two national US surveys: a general population survey (N = 26,610) and a Veterans Health Administration (VA) outpatient survey (N = 467,416). Gender-stratified analyses estimated the prevalence of AUDIT-C screen results—positive or negative screens based on the AUDIT-C score—that were inconsistent with reported drinking (above or below US recommended limits) on the same AUDIT-C.

Results

Among men who reported drinking, 13.8% and 21.1% of US general population and VA samples, respectively, had screening results based on AUDIT-C scores (positive or negative) that were inconsistent with reported drinking on the AUDIT-C questions (above or below US recommended limits). Among women who reported drinking, 18.3% and 20.7% of US general population and VA samples, respectively, had screening results that were inconsistent with reported drinking.

Limitations

This study did not include an independent interview gold standard for unhealthy alcohol use and therefore cannot address how often observed inconsistencies represent false positive or negative screens.

Conclusions

Up to 21% of people who drink alcohol had alcohol screening results based on the AUDIT-C score that were inconsistent with reported drinking on the same AUDIT-C. This needs to be addressed when training clinicians to use the AUDIT-C.