Racial and ethnic disparities in alcohol-associated liver disease in the United States: A systematic review and meta-analysis.

BACKGROUND: Alcohol-associated liver disease (ALD), encompassing alcohol-associated hepatitis and alcohol-associated cirrhosis, is rising in the United States. Racial and ethnic disparities are evident within ALD; however, the precise nature of these disparities is poorly defined. METHODS: We conducted a search of the PubMed/MEDLINE and EMBASE databases to identify studies published from inception through September 2023 that reported ALD incidence, prevalence, and mortality within the United States, stratified by race and ethnicity. We calculated pooled prevalence and incidence by race and ethnicity, including risk ratios and ORs for ALD pooled prevalence and alcohol-associated hepatitis/alcohol-associated cirrhosis pooled proportions, and OR for ALD mortality using the DerSimonian and Laird method for random-effect models. RESULTS: We identified 25 relevant studies (16 for quantitative meta-analysis), comprising 76,867,544 patients. ALD prevalence was highest in Hispanic (4.5%), followed by White (3.1%) and Black (1.4%) individuals. Pooled risk ratios of ALD prevalence were 1.64 (95% CI: 1.12-2.39) for Hispanic and 0.59 (95% CI: 0.35-0.87) for Black compared to White individuals. Mortality among those with ALD did not significantly differ between White and Hispanic (OR: 1.54, 95% CI: 0.9-2.5; I2=0%), Black (OR: 1.2, 95% CI: 0.8-1.6; I2=0%), or Native American (OR: 2.41, 95% CI: 0.9-2.9) individuals, while there was a significant difference between White and Asian (OR: 0.1; 95% CI: 0.03-0.5) individuals. Most data were cross-sectional and assessed to be of poor or fair quality. CONCLUSIONS: Differences were observed in ALD epidemiology, including higher prevalence among Hispanic and lower prevalence among Black individuals, although there were smaller differences in ALD mortality. Differences in ALD prevalence and prognosis remain poorly defined based on existing data, highlighting a need for higher-quality epidemiological studies in this area.

An Automated Inpatient Split-dose Bowel Preparation System Improves Colonoscopy Quality and Reduces Repeat Procedures.

BACKGROUND/GOALS: Inpatient colonoscopy preparations are often inadequate, compromising patient safety and procedure quality, while resulting in greater hospital costs. The aims of this study were to: (1) design and implement an electronic inpatient split-dose bowel preparation order set; (2) assess the intervention's impact upon preparation adequacy, repeated colonoscopies, hospital days, and costs. STUDY: We conducted a single center prospective pragmatic quasiexperimental study of hospitalized adults undergoing colonoscopy. The experimental intervention was designed using DMAIC (define, measure, analyze, improve, and control) methodology. Prospective data collected over 12 months were compared with data from a historical preintervention cohort. The primary outcome was bowel preparation quality and secondary outcomes included number of repeated procedures, hospital days, and costs. RESULTS: On the basis of a Delphi method and DMAIC process, we created an electronic inpatient bowel preparation order set inclusive of a split-dose bowel preparation algorithm, automated orders for rescue medications, and nursing bowel preparation checks. The analysis data set included 969 patients, 445 (46%) in the postintervention group. The adequacy of bowel preparation significantly increased following intervention (86% vs. 43%; P<0.01) and proportion of repeated procedures decreased (2.0% vs. 4.6%; P=0.03). Mean hospital days from bowel preparation initiation to discharge decreased from 8.0 to 6.9 days (P=0.02). The intervention resulted in an estimated 1-year cost-savings of $46,076 based on a reduction in excess hospital days associated with repeated and delayed procedures. CONCLUSIONS: Our interdisciplinary initiative targeting inpatient colonoscopy preparations significantly improved quality and reduced repeat procedures, and hospital days. Other institutions should consider utilizing this framework to improve inpatient colonoscopy value.

Predictors of Inadequate Inpatient Colonoscopy Preparation and Its Association with Hospital Length of Stay and Costs.

BACKGROUND/AIMS: Adequate bowel preparation is essential to safe and effective inpatient colonoscopy. Predictors of poor inpatient colonoscopy preparation and the economic impacts of inadequate inpatient preparations are not defined. The aims of this study were to (1) determine risk factors for inadequate inpatient bowel preparations, and (2) examine the association between inadequate inpatient bowel preparation and hospital length of stay (LOS) and costs. METHODS: We performed a retrospective cohort study of adult patients undergoing inpatient colonoscopy preparation over 12 months (1/1/2013-12/31/2013). RESULTS: Of 524 identified patients, 22.3% had an inadequate preparation. A multiple logistic regression model identified the following potential predictors of inadequate bowel preparation: lower income (OR 1.11; 95% CI 1.04, 1.22), opiate or tricyclic antidepressant (TCA) use (OR 1.55; 0.98, 2.46), and afternoon colonoscopy (OR 1.66; 1.07, 2.59); as well as American Society of Anesthesiologists (ASA) class ≥3 (OR 1.15; 1.05, 1.25) and symptoms of nausea/vomiting (OR 1.14; 1.04, 1.25) when a fair preparation was considered inadequate. Inadequate bowel preparation was associated with significantly increased hospital LOS (model relative mean estimate 1.25; 95% CI 1.03, 1.51) and hospital costs (estimate 1.31; 1.03, 1.67) when compared to adequate preparations. CONCLUSIONS: The rate of inadequate inpatient bowel preparations is high and associated with a significant increase in hospital LOS and costs. We identified five potential predictors of inadequate inpatient preparation: lower socioeconomic class, opiate/TCA use, afternoon colonoscopies, ASA class ≥3, and pre-preparation nausea/vomiting; these data should guide future initiatives to improve the quality of inpatient bowel preparations.