Alcohol Withdrawal Severity Measures for Identifying Patients Requiring High-Intensity Care.

OBJECTIVES: Alcohol withdrawal syndrome (AWS) may progress to require high-intensity care. Approaches to identify hospitalized patients with AWS who received higher level of care have not been previously examined. This study aimed to examine the utility of Clinical Institute Withdrawal Assessment Alcohol Revised (CIWA-Ar) for alcohol scale scores and medication doses for alcohol withdrawal management in identifying patients who received high-intensity care. DESIGN: A multicenter observational cohort study of hospitalized adults with alcohol withdrawal. SETTING: University of Chicago Medical Center and University of Wisconsin Hospital. PATIENTS: Inpatient encounters between November 2008 and February 2022 with a CIWA-Ar score greater than 0 and benzodiazepine or barbiturate administered within the first 24 hours. The primary composite outcome was patients who progressed to high-intensity care (intermediate care or ICU). INTERVENTIONS: None. MAIN RESULTS: Among the 8742 patients included in the study, 37.5% (n = 3280) progressed to high-intensity care. The odds ratio for the composite outcome increased above 1.0 when the CIWA-Ar score was 24. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) at this threshold were 0.12 (95% CI, 0.11-0.13), 0.95 (95% CI, 0.94-0.95), 0.58 (95% CI, 0.54-0.61), and 0.64 (95% CI, 0.63-0.65), respectively. The OR increased above 1.0 at a 24-hour lorazepam milligram equivalent dose cutoff of 15 mg. The sensitivity, specificity, PPV, and NPV at this threshold were 0.16 (95% CI, 0.14-0.17), 0.96 (95% CI, 0.95-0.96), 0.68 (95% CI, 0.65-0.72), and 0.65 (95% CI, 0.64-0.66), respectively. CONCLUSIONS: Neither CIWA-Ar scores nor medication dose cutoff points were effective measures for identifying patients with alcohol withdrawal who received high-intensity care. Research studies for examining outcomes in patients who deteriorate with AWS will require better methods for cohort identification.

Critical care for patients with substance use disorders.

PURPOSE OF REVIEW: To examine the impact of substance use disorders (SUDs) on critical illness and the role of critical care providers in treating SUDs. We discuss emerging evidence supporting hospital-based addiction treatment and highlight the clinical and research innovations needed to elevate the standards of care for patients with SUDs in the intensive care unit (ICU) amidst staggering individual and public health consequences. RECENT FINDINGS: Despite the rapid increase of SUDs in recent years, with growing implications for critical care, dedicated studies focused on ICU patients with SUDs remain scant. Available data demonstrate SUDs are major risk factors for the development and severity of critical illness and are associated with poor outcomes. ICU patients with SUDs experience mutually reinforcing effects of substance withdrawal and pain, which amplify risks and consequences of delirium, and complicate management of comorbid conditions. Hospital-based addiction treatment can dramatically improve the health outcomes of hospitalized patients with SUDs and should begin in the ICU. SUMMARY: SUDs have a significant impact on critical illness and post-ICU outcomes. High-quality cohort and treatment studies designed specifically for ICU patients with SUDs are needed to define best practices and improve health outcomes in this vulnerable population.

Benzodiazepine Treatment and Hospital Course of Medical Inpatients With Alcohol Withdrawal Syndrome in the Veterans Health Administration.

OBJECTIVE: To describe initial benzodiazepine dosing strategies and factors associated with variation in benzodiazepine dosing in a national cohort of hospitalized patients with alcohol withdrawal syndrome (AWS). PATIENTS AND METHODS: This cross-sectional study included adult patients with AWS admitted to medical services and treated with benzodiazepines at 93 Veterans Health Administration hospitals in 2013. Treatment was categorized by initial benzodiazepine dosing strategy-fixed-dose, symptom-triggered, or front-loading. Associations with patient characteristics, facility, and cumulative benzodiazepine exposure, intensive care, and intubation were evaluated. RESULTS: Among 6938 medical inpatients with AWS, 2909 (41.9%), 2829 (40.8%), and 1200 (17.3%) received treatment with symptom-triggered, fixed-dose, and front-loading benzodiazepines, respectively. The magnitude of differences in initial treatment associated with patient characteristics was small compared with differences associated with the predominant practice at a facility. Compared with fixed-dose therapy, symptom-triggered therapy was associated with higher cumulative benzodiazepine exposure (mean, 208-mg vs 182-mg diazepam equivalents) and higher probability of intensive care and intubation (28.2% vs 21.3% and 4.8% vs 3.5%, respectively). CONCLUSION: This study revealed that real-world AWS treatment of medical inpatients was often inconsistent with published guidelines recommending symptom-triggered long-acting benzodiazepines for AWS. The facility where a patient was hospitalized was associated with marked treatment variation. In contrast to prior randomized controlled trials conducted in specialized detoxification units, hospitalized patients who received symptom-triggered therapy in this study had greater cumulative benzodiazepine exposure and higher probability of intensive care and intubation than those receiving fixed-dose therapy.

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.

Promoting Evidence-Based Practice in Acute Respiratory Distress Syndrome: A Systematic Review.

Low tidal volume ventilation and prone positioning are recommended therapies yet underused in acute respiratory distress syndrome. We aimed to assess the role of interventions focused on implementation of low tidal volume ventilation and prone positioning in mechanically ventilated adult patients with acute respiratory distress syndrome. DATA SOURCES: PubMed, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Central Register of Controlled Trials. STUDY SELECTION: We searched the four databases from January 1, 2001, to January 28, 2021, for studies that met the predefined search criteria. Selected studies focused on interventions to improve implementation of low tidal volume ventilation and prone positioning in mechanically ventilated patients with acute respiratory distress syndrome. DATA EXTRACTION: Two authors independently performed study selection and data extraction using a standardized form. DATA SYNTHESIS: Due to methodological heterogeneity of included studies, meta-analysis was not feasible; thus, we provided a narrative summary and assessment of the literature. Eight nonrandomized studies met our eligibility criteria. Most studies looked at interventions to improve adherence to low tidal volume ventilation. Most interventions focused on education for providers. Studies were primarily conducted in the ICU and involved trainees, intensivists, respiratory therapists, and critical care nurses. Although overall quality of the studies was very low, the primary outcomes of interest suggest that interventions could improve adherence to or implementation of low tidal volume ventilation and prone positioning in acute respiratory distress syndrome. MEASUREMENTS AND MAIN RESULTS: Two authors independently performed study selection and data extraction using a standardized form. Due to methodologic heterogeneity of included studies, meta-analysis was not feasible; thus, we provided a narrative summary and assessment of the literature. Eight nonrandomized studies met our eligibility criteria. Most studies looked at interventions to improve adherence to low tidal volume ventilation. Most interventions focused on education for providers. Studies were primarily conducted in the ICU and involved trainees, intensivists, respiratory therapists, and critical care nurses. Although overall quality of the studies was very low, the primary outcomes of interest suggest that interventions could improve adherence to or implementation of low tidal volume ventilation and prone positioning in acute respiratory distress syndrome. CONCLUSIONS: There is a dearth of literature addressing interventions to improve implementation of evidence-based practices in acute respiratory distress syndrome. Existing interventions to improve clinician knowledge and facilitate application of low tidal volume ventilation and prone positioning may be effective, but supporting studies have significant limitations.

Should the CIWA-Ar be the standard monitoring strategy for alcohol withdrawal syndrome in the intensive care unit?

BACKGROUND: The Clinical Institute Withdrawal Assessment for Alcohol-Revised (CIWA-Ar) is commonly used in hospitals to titrate medications for alcohol withdrawal syndrome (AWS), but may be difficult to apply to intensive care unit (ICU) patients who are too sick or otherwise unable to communicate. OBJECTIVES: To evaluate the frequency of CIWA-Ar monitoring among ICU patients with AWS and variation in CIWA-Ar monitoring across patient demographic and clinical characteristics. METHODS: The study included all adults admitted to an ICU in 2017 after treatment for AWS in the Emergency Department of an academic hospital that standardly uses the CIWA-Ar to assess AWS severity and response to treatment. Demographic and clinical data, including Richmond Agitation-Sedation Scale (RASS) assessments (an alternative measure of agitation/sedation), were obtained via chart review. Associations between patient characteristics and CIWA-Ar monitoring were tested using logistic regression. RESULTS: After treatment for AWS, only 56% (n = 54/97) of ICU patients were evaluated using the CIWA-Ar; 94% of patients had a documented RASS assessment (n = 91/97). Patients were significantly less likely to receive CIWA-Ar monitoring if they were intubated or identified as Black. CONCLUSIONS: CIWA-Ar monitoring was used inconsistently in ICU patients with AWS and completed less often in those who were intubated or identified as Black. These hypothesis-generating findings raise questions about the utility of the CIWA-Ar in ICU settings. Future studies should assess alternative measures for titrating AWS medications in the ICU that do not require verbal responses from patients and further explore the association of race with AWS monitoring.

Use of Electronic Health Record Data to Estimate the Probability of Alcohol Withdrawal Syndrome in a National Cohort of Hospitalized Veterans.

OBJECTIVES: Inpatient alcohol withdrawal syndrome (AWS) is common and early treatment improves outcomes, but no prior study has used electronic health record (EHR) data, available at admission, to predict the probability of inpatient AWS. This study estimated the probability of inpatient AWS using prior-year EHR data, hypothesizing that documented alcohol use disorder (AUD) and AWS would be strongly associated with inpatient AWS while exploring associations with other patient characteristics. METHODS: The study investigated patients hospitalized ≥24 hours on medical services in the Veterans Health Administration during 2013 using EHR data extracted from the Veterans Health Administration Corporate Data Warehouse. ICD-9-CM diagnosis code, demographic, and healthcare utilization data documented in the year before admission defined prior-year AUD, AWS, and other factors associated with inpatient AWS. The primary outcome, inpatient AWS, was defined by inpatient ICD-9-CM codes. RESULTS: The unadjusted probability of AWS was 5.0% (95% CI 4.5%-5.4%) among 209,151 medical inpatients overall, 26.4% (95% CI 24.4%-28.4%) among those with prior-year AUD, and 62.5% (95% CI 35.2%-39.7%) among those with prior-year AWS. Of those with AWS, 86% had documented prior-year AUD and/or AWS. Other patient characteristics associated with increased probability of inpatient AWS (P < 0.001) were: male sex, single relationship status, homelessness, seizure, and cirrhosis. CONCLUSIONS: Although inpatient providers often use history to predict AWS, this is the first study in hospitalized patients to inform and validate this practice, showing that prior-year diagnosis of AUD and/or AWS in particular, can identify the majority of inpatients who should be monitored for AWS.

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.

Colorectal cancer screening among American Indians in a Pacific Northwest tribe: Cowlitz Tribal BRFSS Project, 2009-2010.

OBJECTIVES: Colorectal cancer (CRC) screening is low among American Indians (AIs). We describe the demographics, health status, prevalence of modifiable CRC risk factors, and use of CRC screening modalities in a Pacific Northwest AI tribe. METHODS: We conducted a survey among Cowlitz tribal members using a Behavioral Risk Factor Surveillance System (BRFSS) questionnaire. We analyzed demographic, health status, behavioral risk factor, and CRC screening variables. Using the Washington State 2010 BRFSS, we compared tribal members with non-Hispanic white (NHW) people. We used logistic regression to examine factors associated with CRC screening for tribal members. RESULTS: A greater proportion of tribal members than NHW people reported living below the federal poverty level (12% vs. 7%, p=0.013). A greater proportion of tribal members than NHW people aged≥50 years had poor self-reported health (27% vs. 16%, p=0.006) and were without health insurance (12% vs. 6%, p=0.004). A greater proportion of tribal members than NHW people had a fecal occult blood test within the past year (20% vs. 13%, p=0.006). Being 60-69 years of age (odds ratio [OR]=2.6, 95% confidence interval [CI] 1.4, 4.9), ≥70 years of age (OR=2.2, 95% CI 1.1, 4.5), and having a personal health-care provider (OR=3.7, 95% CI 1.4, 9.6) were associated with increased screening adherence in tribal members. CONCLUSION: Data from the Cowlitz Tribal BRFSS demonstrate that members are receiving CRC screening in the same proportions as NHW people despite lower sociodemographic and health status indicators among members. Unique characteristics of the tribe likely contribute to this finding.