Healthcare utilization in medical intensive care unit survivors with alcohol withdrawal

Epidemiology of alcohol use disorder in the general population of Togo and Benin: the ALCOTRANS study

INTRODUCTION

Access to data concerning mental health, particularly alcohol use disorders (AUD), in sub-Saharan Africa is very limited. This study aimed to estimate AUD prevalence and identify the associated factors in Togo and Benin.

METHODS

A cross-sectional study was conducted between April and May 2022, targeting individuals aged 18 years and above in the Yoto commune of Togo and the Lalo commune of Benin. Subjects were recruited using a multi-stage random sampling technique. AUD diagnoses were made using the MINI adapted to DSM-5 criteria. Our study collected sociodemographic information, data on psychiatric comorbidities, stigmatization, and assessed cravings, using a series of scales. The association between AUD and various factors was analyzed using multivariable logistic regression.

RESULTS

In Togo, 55 of the 445 people investigated had AUD (12.4%; [95% CI: 9.5-15.7%]). Among them, 39 (70.9%) had severe AUD and the main associated comorbidities were suicidal risk (36.4%), and major depressive disorder (16.4%). Associated factors with AUD were male gender (aOR: 11.3; [95% CI: 4.8-26.7]), a higher Hamilton Depression Rating Scale (HDRS) score (aOR: 1.2; [95% CI: 1.1-1.3]) and a lower Stigma score measured by the Explanatory Model Interview Catalogue (EMIC) (aOR: 0.9; [95% CI: 0.8-0.9). The stigma scores reflect perceived societal stigma towards individuals with AUD. In Benin, 38 of the 435 people investigated had AUD (8.7%; [95% CI: 6.4-11.7]), and the main associated comorbidities were suicidal risk (18.4%), tobacco use disorder (13.2%) and major depressive episode (16.4%). Associated factors with AUD were male gender (aOR: 6.4; [95% CI: 2.4-17.0]), major depressive disorder (aOR: 21.0; [95% CI: 1.5-289.8]), suicidal risk (aOR: 3.7; [95% CI: 1.2-11.3]), a lower Frontal Assessment Battery (FAB) score (aOR:0.8; [95% CI: 0.8-0.9]) and a lower perceived stigma score (by EMIC )(aOR: 0.9; [95% CI: 0.8-0.9]).

CONCLUSION

In these communes of Togo and Benin, AUD prevalence is notably high. A deeper understanding of the disease and its local determinants, paired with effective prevention campaigns, could mitigate its impact on both countries.

FIB-4 index is associated with mortality in critically ill patients with alcohol use disorder: Analysis from the MIMIC-IV database

BACKGROUND

The relationship between fibrosis-4 (FIB-4) index and all-cause mortality in critically ill patients with alcohol use disorder (AUD) is unclear. The present study aimed to investigate the predictive ability of FIB-4 for all-cause mortality in critically ill AUD patients and the association between them.

METHODS

A total of 2528 AUD patients were included using the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. FIB-4 was calculated for each patient using the existing formula. The patients were equally divided into four groups based on the quartiles of FIB-4. Multivariate logistic regression and Cox proportional hazard model were used to evaluate the association of FIB-4 with in-hospital mortality, 28-day mortality and 1-year mortality. Kaplan-Meier curves were used to analyse the incidence of 28-day mortality among four groups.

RESULTS

FIB-4 was positively associated with 28-day mortality of AUD patients with hazard ratio (HR) of 1.354 [95% confidence interval (CI) 1.192-1.538]. There were similar trends in the in-hospital mortality [odds ratio (OR): 1.440, 95% CI (1.239-1.674)] and 1-year mortality [HR: 1.325, 95% CI (1.178-1.490)].

CONCLUSION

Increased FIB-4 is associated with greater in-hospital mortality, 28-day mortality and 1-year mortality in critically ill AUD patients.

Acute care utilization and its associated determinants among patients with substance-related disorders: A worldwide systematic review and meta-analysis

INTRODUCTION

Identifying determinants of emergency department (ED) use and hospitalization among patients with substance-related disorders (SRDs) can improve health services to address unmet health needs.

AIM

The present study aimed to identify the prevalence rates of ED use and hospitalization, and their associated determinants among patients with SRDs.

METHODS

Studies in English published from January 1, 1995, to December 1, 2022, were searched on PubMed, Scopus, Cochrane Library, and Web of Science to identify primary studies.

RESULTS

The pooled prevalence rates of ED use and hospitalization among patients with SRDs were 36% and 41%, respectively. Patients with SRDs who were the most at risk of being both ED users and hospitalized were those (i) having medical insurance, (ii) having other drug and alcohol use disorders, (iii) having mental health disorders, and (iv) having chronic physical illnesses. A lower level of education increased the risk of ED use only.

DISCUSSION

To decrease ED use and hospitalization, more comprehensive services may be offered to these vulnerable patients with diversified needs.

IMPLICATIONS FOR PRACTICE

Chronic care integrating outreach interventions could be more provided for patients with SRDs after discharge from acute care units or hospitals.

Emergency Department Use, Hospitalization, and Their Sociodemographic Determinants among Patients with Substance-Related Disorders: A Worldwide Systematic Review and Meta-Analysis

Background: Identifying the determinants of emergency department (ED) use and hospitalization among patients with substance-related disorders (SRD) can help inform healthcare services and case management regarding their unmet health needs and strategies to reduce their acute care. Objectives: The present study aimed to identify sociodemographic characteristics, type of used drug, and risky behaviors associated with ED use and hospitalization among patients with SRD. Methods: Studies in English published from January 1st, 1995 to April 30th, 2022 were searched from PubMed, Scopus, Cochrane Library, and Web of Science to identify primary studies on ED use and hospitalization among patients with SRD. Results: Of the 17,348 outputs found, a total of 39 studies met the eligibility criteria. Higher ED use and hospitalization among patients with SRD were associated with a history of homelessness (ED use: OR = 1.93, 95%CI = 1.32-2.83; hospitalization: OR = 1.53, 95%CI = 1.36-1.73) or of injection drug use (ED use: OR = 1.34, 95%CI = 1.13-1.59; hospitalization: OR = 1.42, 95%CI = 1.20-1.69). Being female (OR = 1.24, 95%CI = 1.14-1.35), using methamphetamine (OR = 1.99, 95%CI = 1.24-3.21) and tobacco (OR = 1.25, 95%CI = 1.11-1.42), having HIV (OR = 1.70, 95%CI = 1.47-1.96), a history of incarceration (OR = 1.90, 95%CI = 1.27-2.85) and injury (OR = 2.62, 95%CI = 1.08-6.35) increased ED use only, while having age over 30  years (OR = 1.40, 95%CI = 1.08-1.81) and using cocaine (OR = 1.60, 95%CI = 1.32-1.95) increased hospitalization only among patients with SRD. Conclusions: The finding outline the necessity of developing outreach program and primary care referral for patients with SRD. Establishing a harm reduction program, incorporating needle/syringe exchange programs, and safe injection training with the aim of declining ED use and hospitalization, is likely be another beneficial strategy for patients with SRD.

Medication prescribing for alcohol use disorders during alcohol-related encounters in a Colorado regional healthcare system

RATIONALE

Investigations show that medications for alcohol use disorders (MAUD) reduce heavy drinking and relapses. However, only 1.6% of individuals with alcohol use disorders (AUD) receive MAUD across care settings. The epidemiology of MAUD prescribing in the acute care setting is incompletely described. We hypothesized that MAUD would be under prescribed in inpatient acute care hospital settings compared to the outpatient, emergency department (ED), and inpatient substance use treatment settings.

METHODS

We evaluated electronic health record (EHR) data from adult patients with an International Classification of Diseases, 10th revision (ICD-10) alcohol-related diagnosis in the University of Colorado Health (UCHealth) system between January 1, 2016 and 31 December, 2019. Data from patients with an ICD-10 diagnosis code for opioid use disorder and those receiving MAUD prior to their first alcohol-related episode were excluded. The primary outcome was prescribing of MAUD, defined by prescription of naltrexone, acamprosate, and/or disulfiram. We performed bivariate and multivariate analyses to identify independent predictors of MAUD prescribing at UCHealth.

RESULTS

We identified 48,421 unique patients with 136,205 alcohol-related encounters at UCHealth. Encounters occurred in the ED (42%), inpatient acute care (17%), inpatient substance use treatment (18%), or outpatient primary care (12%) settings. Only 2270 (5%) patients received MAUD across all settings. Female sex and addiction medicine consults positively predicted MAUD prescribing. In contrast, encounters outside inpatient substance use treatment, Hispanic ethnicity, and black or non-white race were negative predictors of MAUD prescribing. Compared to inpatient substance use treatment, inpatient acute care hospitalizations for AUD was associated with a 93% reduced odds of receiving MAUD.

CONCLUSIONS

AUD-related ED and inpatient acute care hospital encounters in our healthcare system were common. Nevertheless, prescriptions for MAUD were infrequent in this population, particularly in inpatient settings. Our findings suggest that the initiation of MAUD for patients with alcohol-related diagnoses in acute care settings deserves additional evaluation.

Alcohol withdrawal in past-year drinkers with unhealthy alcohol use: Prevalence, characteristics, and correlates in a national epidemiologic survey

BACKGROUND

Despite its potential to produce serious adverse outcomes, DSM-5 alcohol withdrawal syndrome (AWS) has not been widely studied in the general population.

METHODS

We used cross-sectional data from 36,309 U.S. adults from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III to examine the past-year prevalence of AWS and its correlates. We focused on an important clinical population-past-year drinkers with unhealthy alcohol use-i.e., those with a positive score on the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire. We also examined the association of AWS with sociodemographic measures, psychiatric disorders, alcohol-related measures, and healthcare utilization.

RESULTS

Approximately one-third (n = 12,634) of respondents reported unhealthy alcohol use (AUDIT-C+). Of these, 14.3% met criteria for a DSM-5 AWS diagnosis. The mean (SE) number of withdrawal symptoms among individuals with AWS was 2.83 (1.88), with the most common being nausea/vomiting and insomnia (19.8% and 11.6%, respectively). Among AUDIT-C+ respondents, the odds of AWS were significantly higher among males (adjusted odds ratio [aOR] = 1.17 [95% CI, 1.02-1.33]), unmarried participants (aOR = 1.55 [95% CI, 1.25-1.92]), and those at the lowest (vs. highest) income levels (aOR = 1.62 [95% CI, 1.37-1.92]). Among AUDIT-C+ respondents, AWS was also associated with psychiatric disorders (with aORs that ranged from 2.08 [95% CI, 1.79-2.41]) for major depressive disorder to 3.14 (95% CI, 1.79-2.41) for borderline personality disorder. AUDIT-C+ respondents with AWS also had higher odds of past-year alcohol use disorder (aOR = 11.2 [95% CI, 9.66-13.07]), other alcohol-related features (e.g., binge drinking), and healthcare utilization.

CONCLUSIONS

Among individuals with unhealthy alcohol use, AWS is prevalent, highly comorbid, and disabling. Given the risk of AWS among unhealthy drinkers, a comparatively large segment of the general population, clinicians should seek to identify individuals with AWS and intervene with them to prevent serious adverse outcomes.

Outcomes of Minnesota Detoxification Scale (MINDS) Assessment with High-Dose Front Loading Diazepam Treatment for Alcohol Withdrawal in Hospitalized Patients

BACKGROUND

Benzodiazepines are the gold standard for alcohol withdrawal treatment but choice and dosing vary widely. In 2015, our institution implemented a Minnesota detoxification scale (MINDS) and single standardized high-dose diazepam based protocol for treatment of alcohol withdrawal to replace multiple Clinical Institute Withdrawal Assessment for Alcohol (CIWA) based protocols using lower dose benzodiazepines.

OBJECTIVE

We compared use of MINDS versus CIWA assessment protocols with high front loading diazepam treatment in care of patient experiencing alcohol withdrawal during hospitalization.

METHODS

Retrospective cohort study of hospitalized patients experiencing alcohol withdrawal to statistically analyze difference in outcomes between CIWA based lower benzodiazepine dose protocols used in 2013-2015 versus the MINDS based high-dose front-loading diazepam protocol used in 2015-2017.

RESULTS

Patients treated with MINDS based high dose diazepam protocol were less likely to have physical restraints used (AOR = 0.8, CI: 0.70 - 0.92), had a shorter hospital length of stay, and fewer days on benzodiazepines (p < 0.001). Patients were more likely to be readmitted to the hospital within 30 days (AOR = 1.13, CI: 1.03 - 1.26) in MINDS based diazepam treatment group. Total diazepam equivalent dosing was similar in both groups. Mortality rates and ICU use rates were similar between the groups.

CONCLUSIONS

Higher dose front loading long acting benzodiazepine can be safely used with beneficial outcomes in hospitalized alcohol withdrawal patients.

Prevalence and Variation of Clinically Recognized Inpatient Alcohol Withdrawal Syndrome in the Veterans Health Administration

OBJECTIVES

No prior study has evaluated the prevalence or variability of alcohol withdrawal syndrome (AWS) in general hospitals in the United States.

METHODS

This retrospective study used secondary data from the Veterans Health Administration (VHA) to estimate the documented prevalence of clinically recognized AWS among patients engaged in VHA care who were hospitalized during fiscal year 2013. We describe variation in documented inpatient AWS by geographic region, hospital, admitting specialty, and inpatient diagnoses using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis and/or procedure codes recorded at hospital admission, transfer, or discharge.

RESULTS

Among 469,082 eligible hospitalizations, the national prevalence of documented inpatient AWS was 5.8% (95% confidence interval [CI] 5.2%-6.4%), but there was marked variation by geographic region (4.3%-11.2%), hospital (1.4%-16.1%), admitting specialty (0.7%-19.0%), and comorbid diagnoses (1.3%-38.3%). AWS affected a high proportion of psychiatric admissions (19.0%, 95% CI 17.5%-20.4%) versus Medical (4.4%, 95% CI 4.0%-4.8%) or surgical (0.7%, 95% CI 0.6%-0.8%); though by volume, medical admissions represented the majority of hospitalizations complicated by AWS (n = 13,478 medical versus n = 12,305 psychiatric and n = 595 surgical). Clinically recognized AWS was also common during hospitalizations involving other alcohol-related disorders (38.3%, 95% CI 35.8%-40.8%), other substance use conditions (19.3%, 95% CI 17.7%-20.9%), attempted suicide (15.3%, 95% CI 13.0%-17.6%), and liver injury (13.9%, 95% CI 12.6%-15.1%).

CONCLUSIONS

AWS was commonly recognized and documented during VHA hospitalizations in 2013, but varied considerably across inpatient settings. This clinical variation may, in part, reflect differences in quality of care and warrants further, more rigorous investigation.

Risk factors and costs associated with 30-day readmissions following alcohol-related hospitalizations in the United States from 2010 to 2015

Patients with alcohol-related diagnoses at initial hospitalization are at high risk of 30-day readmission. Understanding risk factors for 30-day readmission among these patients may help to identify those who would benefit from efforts to reduce risk of readmission. The Nationwide Readmissions Database was used to estimate 30-day all-cause readmissions among United States patients with an alcohol-related index hospitalization and to evaluate risk factors and costs associated with these readmissions. Included patients were 18 years of age or older at initial hospitalization, had an alcohol-related primary diagnosis (based on ICD-9-CM codes), and were discharged between 2010 and 2015. They were followed for 30 days after initial hospitalization within the calendar year to identify all-cause readmissions. A logistic regression analysis assessed the association between risk factors and 30-day readmission. Average costs of initial admissions and readmissions were estimated. Among 113,931,723 adult index hospitalizations, 1,124,228 had alcohol-related diagnoses. Patients had a mean age of 49 years, 73% were male, and 45% had public insurance coverage. The annual rate of 30-day readmissions among patients with index alcohol-related hospitalizations increased from 119 readmissions per 1000 admissions in 2010 to 140 per 1000 in 2015, while the rate of readmissions among patients with all-cause hospitalizations declined from 103 to 98 per 1000. The regression analysis suggested that age, male sex, comorbid conditions, discharge against medical advice, admission to large and teaching hospitals, and Medicaid vs. non-Medicaid payment were all risk factors for 30-day readmission. Mean costs of initial alcohol-related hospitalizations were greater among those with a 30-day readmission than without a 30-day readmission, and the mean cost of 30-day readmission was even greater. Mitigating the upward trend in rates of readmission following alcohol-related initial hospitalizations may be addressed through better identification of high-risk patients who are admitted with an alcohol-related diagnosis and greater use of existing evidence-based psychosocial and pharmacotherapy treatment methods.

Risk factors of hospitalization for any medical condition among patients with prior emergency department visits for mental health conditions

BACKGROUND

This longitudinal study identified risk factors for frequency of hospitalization among patients with any medical condition who had previously visited one of six Quebec (Canada) emergency departments (ED) at least once for mental health (MH) conditions as the primary diagnosis.

METHODS

Records of n = 11,367 patients were investigated using administrative databanks (2012-13/2014-15). Hospitalization rates in the 12 months after a first ED visit in 2014-15 were categorized as no hospitalizations (0 times), moderate hospitalizations (1-2 times), and frequent hospitalizations (3+ times). Based on the Andersen Behavioral Model, data on risk factors were gathered for the 2 years prior to the first visit in 2014-15, and were identified as predisposing, enabling or needs factors. They were tested using a hierarchical multinomial logistic regression according to the three groups of hospitalization rate.

RESULTS

Enabling factors accounted for the largest percentage of total variance explained in the study model, followed by needs and predisposing factors. Co-occurring mental disorders (MD)/substance-related disorders (SRD), alcohol-related disorders, depressive disorders, frequency of consultations with outpatient psychiatrists, prior ED visits for any medical condition and number of physicians consulted in specialized care, were risk factors for both moderate and frequent hospitalizations. Schizophrenia spectrum and other psychotic disorders, bipolar disorders, and age (except 12-17 years) were risk factors for moderate hospitalizations, while higher numbers (4+) of overall interventions in local community health service centers were a risk factor for frequent hospitalizations only. Patients with personality disorders, drug-related disorders, suicidal behaviors, and those who visited a psychiatric ED integrated with a general ED in a separate site, or who visited a general ED without psychiatric services were also less likely to be hospitalized. Less urgent and non-urgent illness acuity prevented moderate hospitalizations only.

CONCLUSIONS

Patients with severe and complex health conditions, and higher numbers of both prior outpatient psychiatrist consultations and ED visits for medical conditions had more moderate and frequent hospitalizations as compared with non-hospitalized patients. Patients at risk for frequent hospitalizations were more vulnerable overall and had important biopsychosocial problems. Improved primary care and integrated outpatient services may prevent post-ED hospitalization.

Severe mental illness and health service utilisation for nonpsychiatric medical disorders: A systematic review and meta-analysis

BACKGROUND

Psychiatric comorbidity is known to impact upon use of nonpsychiatric health services. The aim of this systematic review and meta-analysis was to assess the specific impact of severe mental illness (SMI) on the use of inpatient, emergency, and primary care services for nonpsychiatric medical disorders.

METHODS AND FINDINGS

PubMed, Web of Science, PsychINFO, EMBASE, and The Cochrane Library were searched for relevant studies up to October 2018. An updated search was carried out up to the end of February 2020. Studies were included if they assessed the impact of SMI on nonpsychiatric inpatient, emergency, and primary care service use in adults. Study designs eligible for review included observational cohort and case-control studies and randomised controlled trials. Random-effects meta-analyses of the effect of SMI on inpatient admissions, length of hospital stay, 30-day hospital readmission rates, and emergency department use were performed. This review protocol is registered in PROSPERO (CRD42019119516). Seventy-four studies were eligible for review. All were observational cohort or case-control studies carried out in high-income countries. Sample sizes ranged from 27 to 10,777,210. Study quality was assessed using the Newcastle-Ottawa Scale for observational studies. The majority of studies (n = 45) were deemed to be of good quality. Narrative analysis showed that SMI led to increases in use of inpatient, emergency, and primary care services. Meta-analyses revealed that patients with SMI were more likely to be admitted as nonpsychiatric inpatients (pooled odds ratio [OR] = 1.84, 95% confidence interval [CI] 1.21-2.80, p = 0.005, I2 = 100%), had hospital stays that were increased by 0.59 days (pooled standardised mean difference = 0.59 days, 95% CI 0.36-0.83, p < 0.001, I2 = 100%), were more likely to be readmitted to hospital within 30 days (pooled OR = 1.37, 95% CI 1.28-1.47, p < 0.001, I2 = 83%), and were more likely to attend the emergency department (pooled OR = 1.97, 95% CI 1.41-2.76, p < 0.001, I2 = 99%) compared to patients without SMI. Study limitations include considerable heterogeneity across studies, meaning that results of meta-analyses should be interpreted with caution, and the fact that it was not always possible to determine whether service use outcomes definitively excluded mental health treatment.

CONCLUSIONS

In this study, we found that SMI impacts significantly upon the use of nonpsychiatric health services. Illustrating and quantifying this helps to build a case for and guide the delivery of system-wide integration of mental and physical health services.

Pilot Randomized Trial of a Recovery Navigator Program for Survivors of Critical Illness With Problematic Alcohol Use

Many survivors of critical illness have problematic alcohol use, associated with risk of death and hospital readmission. We tested the feasibility, acceptability, treatment fidelity, and potential efficacy of a customized alcohol intervention for patients in ICUs. The intervention was delivered by a Recovery Navigator using principles of motivational interviewing and shared decision-making.

DESIGN

Pilot randomized trial.

SETTING

Two urban ICUs in Denver, CO.

PATIENTS

Patients with problematic alcohol use were enrolled prior to hospital discharge.

INTERVENTIONS

Patients were randomly assigned to usual care, single-session motivational interviewing and shared decision-making, or multisession motivational interviewing and shared decision-making.

MEASUREMENTS AND MAIN RESULTS

We assessed feasibility via enrollment and attrition, acceptability via patient satisfaction (Client Satisfaction Questionnaire-8), fidelity via observation and questionnaires, and potential efficacy via group means and CIs on measures of alcohol use, psychiatric symptoms, cognition, and other alcohol-related problems. Over 18 months, we offered the study to 111 patients, enrolled 47, and randomized 36; refusals were mainly due to stigma or patients' desire to handle problems on their own. Groups were similar at baseline, and 67% of patients met criteria for alcohol use disorder. Average patient satisfaction was high (mean = 28/32) regardless of group assignment. Sessions were delivered with 98% adherence to motivational interviewing principles and excellent motivational interviewing spirit; patients perceived the intervention to be more autonomy supportive than usual care. Group means after 6 months suggested that patients receiving the intervention might improve on measures such as alcohol use, psychiatric symptoms, legal problems, and days of paid work; however, they did not receive more substance use treatment. All results were nonsignificant due to small sample size.

CONCLUSIONS

A Recovery Navigator intervention was feasible and acceptable for delivering high-fidelity brief interventions to ICU patients. Changes in alcohol-related problems with motivational interviewing and shared decision-making were nonsignificant but clinically meaningful in size. A full-scale randomized trial of motivational interviewing and shared decision-making is warranted.

Predictors and Costs of 30-Day Readmissions After Index Hospitalizations for Alcohol-Related Disorders in U.S. Adults

BACKGROUND

In 2015, the Hospital Readmissions Reduction Program mandated financial penalties to hospitals with greater rates of readmissions for certain conditions. Alcohol-related disorders (ARD) are the fourth leading cause of 30-day readmissions. Yet, there is a dearth of national-level research to identify high-risk patient populations and predictors of 30-day readmission. This study examined patient- and hospital-level predictors for index hospitalizations with principal diagnosis of ARD and predicted the cost of 30-day readmissions.

METHODS

The 2014 Nationwide Readmissions Database was used to identify ARD-related index hospitalizations. Multivariable logistic regression was used to estimate patient- and hospital-level predictors for readmissions, and a 2-part model was used to predict the incremental cost conditional upon readmission.

RESULTS

In 2014, 285,767 index hospitalizations for ARD were recorded, and 18.9% of ARD-associated hospitalizations resulted in at least one 30-day readmission. Patients who were males, aged 45 to 64 years, Medicaid enrollees, living in urban and low-income areas, or with 1 to 2 comorbidities had high risk of readmission. Index hospitalization costs were higher among readmitted patients ($8,840 vs. $8,036, p < 0.01). Predicted mean costs for readmissions on index stay with ARD were greater among those aged 45 to 64 years ($1,908, p < 0.001), Medicare enrollees ($2,133, p < 0.001), rural residents ($1,841, p < 0.01), living in high-income areas ($1,876, p < 0.001), with 4 or more comorbidities ($2,415, p < 0.001), or admitted in large metropolitan hospitals ($2,032, p < 0.001), with large number of beds ($1,964, p < 0.001), with government ownership ($2,109, p < 0.001), or with low volume of ARD cases ($2,155, p < 0.001).

CONCLUSIONS

One in 5 ARD-related index hospitalizations resulted in a 30-day readmission. Overall, costs of index hospitalizations for ARD were $2.3 billion, of which $512 million were spent on hospitalizations that resulted in at least 1 readmission. There is a need to develop patient-centric health programs to reduce readmission rates and costs among ARD patients.

Alcohol misuse and outpatient follow-up after hospital discharge: a retrospective cohort study

Purpose

Patients with alcohol misuse are less likely to receive preventive health services but more likely to utilize emergency health services. However, the association between alcohol misuse and outpatient follow-up after hospitalization is unknown and may depend on whether a patient experiences a critical illness. We sought to determine whether alcohol misuse was associated with lower rates of outpatient follow-up after hospital discharge and whether the magnitude of this association differed in patients who experienced a critical illness.

Materials and methods

This was a retrospective cohort study using administrative data from an urban safety net hospital. Patients were included if they were admitted between 2011 and 2015, were between the ages of 18 and 89, resided within the safety net county, were discharged home, and were at moderate to high risk for hospital readmission within the subsequent 30 days. Alcohol misuse was identified using a combination of ICD-9 codes and response to a single screening question. The primary outcome was a combined measure of follow-up with a primary care physician or specialist provider in the 30 days following hospital discharge. Multivariable logistic regression was used to adjust for factors known to be associated with healthcare utilization.

Results

Overall, 17,575 patients were included in the analysis; 4984 (28%) had alcohol misuse. In the 30 days following hospital discharge, 46% of patients saw any outpatient provider. In an unadjusted analysis, the association between alcohol misuse and attending any outpatient follow-up was dependent on whether patients had a critical illness (p value < 0.0001) with the highest rates of follow-up in survivors of critical illness without alcohol misuse (53%, 95% CI 51%, 55%) followed by patients without alcohol misuse or critical illness (49%; 95% CI 48%, 50%), patients with alcohol misuse without critical illness (38%; 95% CI 36%, 39%), and patients with alcohol misuse and a critical illness (37%; 95% CI 35%, 40%). Adjusting for factors associated with healthcare utilization, these findings were modestly attenuated but unchanged.

Conclusions

Patients with alcohol misuse who are at moderate to high risk for hospital readmission may benefit from targeted interventions to increase rates of outpatient follow-up after hospital discharge.

Electronic supplementary material

The online version of this article (10.1186/s13722-018-0125-1) contains supplementary material, which is available to authorized users.

Predictors of Alcohol Withdrawal Readmissions

Aims

Hospital readmissions serve as a major benchmark for the quality of care and alcohol withdrawal (AW) may lead to multiple hospitalizations and readmissions. We sought to evaluate readmission rates and predictors of having AW-related readmissions in a nationally representative sample.

Short summary

In a nationally representative sample, AW readmission within 30 days and multiple readmissions during the year were high and were particularly predicted by discharge against medical advice (AMA), comorbid psychosis, comorbid depression, poor socioeconomic status, comorbid drug abuse and alcohol-related medical disease.

Methods

Subjects from the 2013 Nationwide Readmissions Database (NRD) with AW as a primary or secondary diagnosis. Cross-sectional and retrospective analyses were performed using regression methods appropriate for the NRD complex sampling design. The outcome measures were AW-related readmission, 30-day readmission and multiple readmissions.

Results

In 2013, 393,118 discharges involved ICD-9 coding for AW and 41.5% of these included AW as the primary discharge diagnosis. The rate of AW-related readmission in 2013, as estimated from first-quarter index events, was 58.8% (95% confidence interval (CI) 57.5-60.1), with an average of 1.8 readmissions (95% CI 1.7-1.9). The 30-day readmission rate, estimated from January-November index events, was 19.7% (95% CI 19.0-20.4). The strongest independent predictors of yearly, 30-day and multiple readmission were discharged AMA and comorbid psychotic disorder.

Conclusion

AW readmission within 30 days and multiple readmissions during the year were common and were particularly predicted by AMA discharge and comorbid psychotic disorder. While these and other factors can help identify high-risk patients, further study to determine causal mechanisms may aid efforts to improve both the outcomes and costs associated with acute AW treatment.

The Experience of Patients with Alcohol Misuse after Surviving a Critical Illness. A Qualitative Study

RATIONALE

Alcohol misuse is common in patients admitted to the intensive care unit (ICU), but there is currently no evidence-based approach to address drinking in ICU survivors.

OBJECTIVES

We sought to describe the experience of ICU survivors with alcohol misuse during their hospitalization and the 3 months after hospital discharge to inform an alcohol-specific intervention for this unique population.

METHODS

We conducted a descriptive qualitative study of ICU survivors from medical ICUs in three separate hospitals with a positive screening result on the Alcohol Use Disorders Identification Test. Semistructured interviews were conducted 3 months after hospital discharge of patients. Patients were also allowed to nominate up to two friends or family members for enrollment to provide additional perspective on the patient's experience.

RESULTS

We enrolled 50 patients and 22 of their friends and/or family members. The average APACHE II score was 23, 80% of patients were male, and the average age was 50 years; 70% of patients and 77% of friends/family members completed the semistructured interview 3 months after hospital discharge. We identified three domains that could inform an alcohol-specific intervention, each with multiple themes: motivation with complications (anxiety and depression, critical illness as a catalyst, delirium and cognitive impairment); therapeutic alliance (autonomy, failure and opportunities to build a therapeutic alliance); and the return to the home milieu (lack of screening for depression and anxiety, social network support for drinking, social isolation, social network support for abstinence, lack of available and affordable treatment, and negative experiences with Alcoholics Anonymous).

CONCLUSIONS

An alcohol intervention for ICU survivors would account for the context in which patients are making a decision about their drinking and optimize the patient-provider interaction. Contrary to current paradigms that focus on addressing alcohol consumption only during a hospitalization, an intervention for ICU survivors should continue as patients transition from the hospital to home.

Delirium tremens and alcohol withdrawal nationally in the Veterans Health Administration

BACKGROUND AND OBJECTIVES

Alcohol withdrawal-especially delirium tremens (DT)-is a potentially life-threatening condition. While short-term treatment regimens and factors that predispose to more severe symptomatology have been extensively studied, little attention has been paid to the clinical epidemiology and long-term care of the chronic medical, addictive, psychiatric, and psychosocial problems faced by these patients.

METHODS

National Veterans Health Administration data from fiscal year 2012 were examined to identify veterans diagnosed with DT; with withdrawal but not DT (WNDT); and with Alcohol Use Disorder (AUD) but neither DT nor WNDT. They were compared on sociodemographic characteristics, psychiatric and medical co-morbidities, and health service and psychotropic medication use, first with bivariate analyses and then multiple logistic regression.

RESULTS

Among the 345,297 veterans diagnosed with AUD, 2,341 (0.7%) were diagnosed with DT and 6,738 (2.0%) with WNDT. Veterans diagnosed with either WNDT or DT were more likely to have been homeless, had more comorbid medical and psychiatric disorders, were more likely to be diagnosed with drug use disorders, utilized more health services, received more psychotropic medications, and were more likely to receive naltrexone. They were more likely to receive specialized legal, housing, vocational, and psychosocial rehabilitation services, as well as intensive case management.

CONCLUSIONS

Adults with WNDT and DT suffer from multiple chronic conditions and long-term service models are needed to coordinate the work of multiple specialists and to assure continuity of care.

SCIENTIFIC SIGNIFICANCE

This national study identifies sociodemographic characteristics, comorbidities, and service utilization patterns associated with WNDT and DT.(Am J Addict 2017;26:722-730).

Alcohol screening scores and the risk of intensive care unit admission and hospital readmission

BACKGROUND

The association between alcohol misuse and the need for intensive care unit admission as well as hospital readmission among those discharged from the hospital following a critical illness is unclear. This study sought to determine whether alcohol misuse was associated with (1) admission to an intensive care unit (ICU) among a cohort of patients receiving outpatient care and (2) hospital readmission among those discharged from the hospital following critical illness.

METHODS

This was a retrospective cohort study conducted with data from 24 Veterans Affairs (VA) health care facilities between 2004 and 2007. Scores on the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire were used to identify patients with past-year abstinence, lower-risk alcohol use, moderate alcohol misuse, or severe alcohol misuse. The primary outcome was admission to a VA intensive care unit within the year following administration of the AUDIT-C. In an analysis focused on patients discharged from the ICU, the 2 main outcomes were hospital readmission within 1 year and within 30 days.

RESULTS

Among 486,115 veterans receiving outpatient care, the adjusted probability of ICU admission within 1 year was 2.0% (95% confidence interval [CI]: 1.7%-2.3%) for abstinent patients, 1.6% (95% CI: 1.3%-1.8%) for patients with lower-risk alcohol use, 1.8% (1.4%-2.3%) for patients with moderate alcohol misuse, and 2.5% (2.0%-2.9%) for patients with severe alcohol misuse. Among the 9,030 patients discharged from an ICU, the adjusted probability of hospital readmission within 1 year was 48% (46%-49%) in abstinent patients, 44% (42%-45%) in patients with lower-risk alcohol use, 42% (39%-45%) in patients with moderate alcohol misuse, and 55% (49%-60%) in patients with severe alcohol misuse.

CONCLUSIONS

Alcohol misuse may represent a modifiable risk factor for a cycle of ICU admission and subsequent hospital readmission.

A prospective hospital study of alcohol use disorders, comorbid psychiatric conditions and withdrawal prognosis

BACKGROUND

The objective of this study was to describe the profile and alcoholic status of a population with alcohol use disorders (AUD) requesting help from a psychiatric hospital to stop drinking, as well as their clinical outcome and care consumption over the 2 years following the request.

METHODS

The visits were conducted at baseline (M0) and at 6, 12, 18 and 24 months (M6, M12, M18, M24). Demographic, clinical and psychometric data [Beck Depression Inventory (BDI), AUDIT questionnaire, Global Assessment of Functioning (GAF) scale], and information regarding the use of psychiatric care and therapeutics were collected.

RESULTS

The 330 subjects included were mostly male, aged 45.2 ± 10.2 years with an employment rate of 55.4 %, living alone (69.1 %), with a psychiatric comorbidity (60.9 %), especially depressive, and with few somatic complications. Their global functioning was poor (GAF score 49.14 ± 15.6), and less than 10 % were addicted to another substance. The abstinence rate at 24 months was 41.4 %, but only 23 % (20) abstained continuously between M0 and M24, and 66.7 % (58) intermittently. The likelihood of abstinence at M24 was greater for females aged over 60 years. The BDI score decreased significantly between M0 and M24. In all, 56.2 % of the participants were re-hospitalized after weaning, but were not integrated in long-term medical care.

CONCLUSIONS

Abstinence after alcohol withdrawal fluctuated over time indicating the need for long-term support. The treatment of AUD should not target total, continuous abstinence. Prognostic profiles combining socio-demographic, clinical and biological indicators must be established.

Depression and alcohol withdrawal syndrome: is antidepressant therapy associated with lower rates of hospital readmission?

BACKGROUND

Alcohol withdrawal syndrome (AWS) is a frequent cause of admission to acute care hospitals and many of these patients have a history of depression.

AIM

Our objective was to determine if antidepressant use in patients with a history of depression is associated with lower rates of hospital readmission for AWS.

METHODS

A retrospective study was performed of patients admitted with AWS between January 1, 2006 and December 31, 2008 to an academic tertiary referral hospital.

RESULTS

Three hundred and twenty-two patients were admitted with AWS during the study period. One hundred and sixty-one patients (50 %) had no history of depression, 111 patients (34 %) had a history of depression and antidepressant use, and 50 patients (16 %) had a history of depression and no antidepressant use. There was no significant difference in the number of hospitalizations for AWS between these three groups. Patients with a history of depression on antidepressant medication were more likely to be retired or work disabled compared to the other two groups (p < 0.05). The antidepressant class most commonly used was SSRI (63 %).

CONCLUSION

Our study highlights the high frequency of depression and antidepressant use in patients admitted with AWS to an acute care hospital. As alcohol withdrawal is associated with increased morbidity and mortality and depression is common in those with alcohol use disorder, further research is necessary to clarify the optimal treatment of comorbid depression and alcohol use disorder in reducing these revolving door admissions.

Do alcohol use disorders impact on long term outcomes from intensive care?

Introduction

There is limited evidence regarding the impact of alcohol use disorders on long term outcomes from intensive care. The aims of this study were to analyse the nature and complications of alcohol related admissions to intensive care and determine whether alcohol use disorders impact on survival at six months post ICU discharge.

Method

This was an 18 month prospective observational cohort study in a 20 bedded mixed ICU, in a large teaching hospital in Scotland. On admission patients were allocated to one of three alcohol groups: low risk, harmful/hazardous, or alcohol dependency.

Results

34.4% of patients were admitted with an alcohol use disorder. Those with an alcohol related admission (either harmful/hazardous or alcohol dependent) had an increased odds of developing septic shock during their admission, compared with the low risk group (OR 1.67; 95% CI 1.13-2.47, p = 0.01). After adjustment for all lifestyle factors which were significantly different between the groups, alcohol dependence was associated with more than a twofold increased odds of ICU mortality (OR 2.28; 95% CI 1.2-4.69, p = 0.01) and hospital mortality (OR 2.43; 95% CI 1.28-4.621, p = 0.004). After adjustment for deprivation category and age, alcohol dependence was associated with an almost two fold increased odds of mortality at six months post ICU discharge (HR 1.86; CI 1.30-2.70, p = 0.001).

Conclusion

Alcohol use disorders are a significant risk factor for the development of septic shock in intensive care. Further, alcohol dependency is independently associated with poorer long term outcomes from intensive care.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-015-0909-6) contains supplementary material, which is available to authorized users.

Psychiatric symptoms and acute care service utilization over the course of the year following medical-surgical ICU admission: a longitudinal investigation*

OBJECTIVE

To determine if the presence of in-hospital substantial acute stress symptoms, as well as substantial depressive or posttraumatic stress disorder symptoms at 3 months post-ICU, are associated with increased acute care service utilization over the course of the year following medical-surgical ICU admission.

DESIGN

Longitudinal cohort study.

SETTING

Academic medical center.

PATIENTS

One hundred fifty patients who are 18 years old or older admitted to medical-surgical ICUs for over 24 hours.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Participants were interviewed in-hospital to ascertain substantial acute stress symptoms using the Posttraumatic Stress Disorder Checklist-Civilian version. Substantial depressive and posttraumatic stress disorder symptoms were assessed using the Patient Health Questionnaire-9 and the Posttraumatic Stress Disorder Checklist-Civilian version, respectively, at 3 months post-ICU. The number of rehospitalizations and emergency department visits were ascertained at 3 and 12 months post-ICU using the Cornell Services Index. After adjusting for participant and clinical characteristics, in-hospital substantial acute stress symptoms were independently associated with greater risk of an additional hospitalization (relative risk, 3.00; 95% CI, 1.80-4.99) over the year post-ICU. Substantial posttraumatic stress disorder symptoms at 3 months post-ICU were independently associated with greater risk of an additional emergency department visit during the subsequent 9 months (relative risk, 2.29; 95% CI, 1.09-4.84) even after adjusting for both rehospitalizations and emergency department visits between the index hospitalization and 3 months post-ICU.

CONCLUSIONS

Post-ICU psychiatric morbidity is associated with increased acute care service utilization during the year after a medical-surgical ICU admission. Early interventions for at-risk ICU survivors may improve long-term outcomes and reduce subsequent acute care utilization.

Alcoholism: diagnosis, prognosis, epidemiology, and burden of the disease

To the clinician, alcoholism can appear as an amorphous entity that is confusing with respect to diagnosis, treatment prognosis, and the role of the health professional, despite its high incidence and associated morbidities and mortality when unrecognized or untreated. This chapter focuses on the clinical application of current knowledge, with the aim of being useful to the practitioner in working directly with patients for whom alcoholism may or may not be an already identified problem. It briefly reviews large-scale studies and then focuses on diagnosis and prognosis assessment and decision making. Also considered are current controversies in nomenclature and the chapter ends with an economic perspective with respect to healthcare and cost to society. As the introductory chapter, the goal is to provide a context of the scope of alcoholism and attendant problems for the rest of the chapters.

Facilitators and barriers to initiating change in medical intensive care unit survivors with alcohol use disorders: a qualitative study

PURPOSE

Alcohol abuse and dependence are collectively referred to as alcohol use disorders (AUD). An AUD is present in up to one third of patients admitted to an intensive care unit (ICU). We sought to understand the barriers and facilitators to change in ICU survivors with an AUD to provide a foundation upon which to tailor alcohol-related interventions.

METHODS

We used a qualitative approach with a broad constructivist framework, conducting semistructured interviews in medical ICU survivors with an AUD. Patients were included if they were admitted to 1 of 2 medical ICUs and were excluded if they refused participation, were unable to participate, or did not speak English. Digitally recorded and professionally transcribed interviews were analyzed using a general inductive approach and grouped into themes.

RESULTS

Nineteen patients were included, with an average age of 51 (interquartile range, 36-51) years and an average Acute Physiology and Chronic Health Evaluation II score of 9 (interquartile range, 5-13); 68% were white, 74% were male, and the most common reason for admission was alcohol withdrawal (n=8). We identified 5 facilitators of change: empathy of the inpatient health care environment, recognition of accumulating problems, religion, pressure from others to stop drinking, and trigger events. We identified 3 barriers to change: missed opportunities, psychiatric comorbidity, and cognitive dysfunction. Social networks were identified as either a barrier or facilitator to change depending on the specific context.

CONCLUSIONS

Alcohol-related interventions to motivate and sustain behavior change could be tailored to ICU survivors by accounting for unique barriers and facilitators.