Multiple drug use disorder diagnoses among drug-involved hospitalizations in the United States: Results from the 2016 National Inpatient Sample

Alcohol and Substance Use Among the Working Age Population: A Nationwide Study of Fall-Related Emergency Department Visits

OBJECTIVE

Prior studies have linked fall-related emergency department (ED) visits among older adults to alcohol use. Characteristics related to falls in the working age population (WAP; 15-64 years) may vary with alcohol and substance use. This study aimed to identify factors associated with fall-related ED visits related to alcohol and substance use in the WAP.

METHOD

Using nationally representative 2019-2020 National Hospital Ambulatory Medical Care Survey data, fall-related ED visits within 72 hours were stratified by indication of alcohol use, substance use, and concurrent alcohol and substance use. Descriptive statistics accounting for the survey's complex design were used along with multivariable logistic regression to identify associated factors.

RESULTS

Between 2019 and 2020, an estimated 10,800,000 fall-related ED visits occurred among the WAP, with 51.7% related to alcohol use, substance use, or both. Multivariable logistic regression analysis revealed that the WAP with fall-injury ED visits were associated with alcohol use (adjusted odds ratio [AOR] = 2.3, 95% CI [1.0, 5.9]) or concurrent alcohol and substance use (AOR = 8.5, 95% CI [1.6, 43.0]), and individuals with alcohol and substance use with a depression diagnosis are twice as likely to visit EDs with fall injuries.

CONCLUSIONS

Individuals with alcohol and substance use with depression were twice as likely to visit EDs for fall injuries. Higher fall-related ED visits in the WAP were attributed to alcohol and substance use. Identified factors could improve injury prevention and timely intervention among the WAP in the United States.

Cannabis Use Disorder and Perioperative Complications

Importance

Cannabis use is growing in the US and is increasingly perceived as harmless. However, the perioperative impact of cannabis use remains uncertain.

Objective

To assess whether cannabis use disorder is associated with increased morbidity and mortality after major elective, inpatient, noncardiac surgery.

Design, Setting, and Participants

This retrospective, population-based, matched cohort study used data from the National Inpatient Sample for adult patients aged 18 to 65 years who underwent major elective inpatient surgery (including cholecystectomy, colectomy, inguinal hernia repair, femoral hernia repair, mastectomy, lumpectomy, hip arthroplasty, knee arthroplasty, hysterectomy, spinal fusion, and vertebral discectomy) from January 2016 to December 2019. Data were analyzed from February to August 2022.

Exposure

Cannabis use disorder, as defined by the presence of specific International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnostic codes.

Main Outcome and Measures

The primary composite outcome was in-hospital mortality and 7 major perioperative complications (myocardial ischemia, acute kidney injury, stroke, respiratory failure, venous thromboembolism, hospital-acquired infection, and surgical procedure-related complications) based on ICD-10 discharge diagnosis codes. Propensity score matching was performed to create a 1:1 matched cohort that was well balanced with respect to covariates, which included patient comorbidities, sociodemographic factors, and procedure type.

Results

Among 12 422 hospitalizations, a cohort of 6211 patients with cannabis use disorder (median age, 53 years [IQR, 44-59 years]; 3498 [56.32%] male) were matched with 6211 patients without cannabis use disorder for analysis. Cannabis use disorder was associated with an increased risk of perioperative morbidity and mortality compared with hospitalizations without cannabis use disorder in adjusted analysis (adjusted odds ratio, 1.19; 95% CI, 1.04-1.37; P = .01). The outcome occurred more frequently in the group with cannabis use disorder (480 [7.73%]) compared with the unexposed group (408 [6.57%]).

Conclusions and Relevance

In this cohort study, cannabis use disorder was associated with a modest increased risk of perioperative morbidity and mortality after major elective, inpatient, noncardiac surgery. In the context of increasing cannabis use rates, our findings support preoperative screening for cannabis use disorder as a component of perioperative risk stratification. However, further research is needed to quantify the perioperative impact of cannabis use by route and dosage and to inform recommendations for preoperative cannabis cessation.

Frequencies of emergency department use and hospitalization comparing patients with different types of substance or polysubstance-related disorders

Background

This study measured emergency department (ED) use and hospitalization for medical reasons among patients with substance-related disorders (SRD), comparing four subgroups: cannabis-related disorders, drug-related disorders other than cannabis, alcohol-related disorders and polysubstance-related disorders, controlling for various clinical, sociodemographic and service use variables.

Methods

Clinical administrative data for a cohort of 22,484 patients registered in Quebec (Canada) addiction treatment centers in 2012-13 were extracted for the years 2009-10 to 2015-16. Using negative binomial models, risks of frequent ED use and hospitalization were calculated for a 12-month period (2015-16).

Results

Patients with polysubstance-related disorders used ED more frequently than other groups with SRD. They were hospitalized more frequently than patients with cannabis or other drug-related disorders, but less frequently than those with alcohol-related disorders. Patients with alcohol-related disorders used ED more frequently than those with cannabis-related disorders and underwent more hospitalizations than both patients with cannabis-related and other drug-related disorders. Co-occurring SRD-mental disorders or SRD-chronic physical illnesses, more years with SRD, being women, living in rural territories, more frequent consultations with usual general practitioner or outpatient psychiatrist, and receiving more interventions in community healthcare centers increased frequency of ED use and hospitalization, whereas both adverse outcomes decreased with high continuity of physician care. Behavioral addiction, age less than 45 years, living in more materially deprived areas, and receiving 1-3 interventions in addiction treatment centers increased risk of frequent ED use, whereas living in semi-urban areas decreased ED use. Patients 25-44 years old receiving 4+ interventions in addiction treatment centers experienced less frequent hospitalization.

Conclusion

Findings showed higher risk of ED use among patients with polysubstance-related disorders, and higher hospitalization risk among patients with alcohol-related disorders, compared with patients affected by cannabis and other drug-related disorders. However, other variables contributed substantially more to the frequency of ED use and hospitalization, particularly clinical variables regarding complexity and severity of health conditions, followed by service use variables. Another important finding was that high continuity of physician care helped decrease the use of acute care services. Strategies like integrated care and outreach interventions may enhance SRD services.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13011-021-00421-7.

Epidemiology of hospitalizations with cocaine use disorder: A 17-year U.S. national study

OBJECTIVE

To examine the time-trends in hospitalizations and the factors associated with outcomes of hospitalizations with cocaine use disorder (CocUD).

METHODS

This study used the U.S. National Inpatient Sample (NIS) data from 1998 to 2014 to examine the time-trends in hospitalization rates and the predictors of healthcare utilization (total hospital charges, discharge destination, length of hospital stay) and in-hospital mortality for CocUD-hospitalization. We used multivariable-adjusted logistic regression analyses to assess the association of patient demographics (age, sex, race/ethnicity, household income), comorbidity (Deyo-Charlson index), insurance payer (Medicare, Medicaid, private, self-pay or other), and hospital characteristics (location/teaching status; hospital bed size; and region) with outcomes with healthcare utilization and in-hospital mortality for CocUD-hospitalizations.

RESULTS

There were 6,454,775 weighted hospitalizations with CocUD in the U.S. 1998-2014. The population was predominantly black (38%), 45 years or younger (65%) and male (63%). There was no change from study periods, 1998-2000 to 2013-2014, in the hospitalization rate, 959 to 973 per 100,000 NIS claims or in-hospital mortality rate, 7.7 to 9.2, respectively. In the multivariable-adjusted analyses, we found that older age, male gender, non-white race, Deyo-Charlson index score of 2 or higher, insurance payer other than private, higher income, hospital region, an urban setting hospital and a larger hospital bed size were associated with higher healthcare utilization outcomes and/or in-hospital mortality.

CONCLUSIONS

The hospitalization and in-hospital mortality of hospitalizations with CocUD remained stable over the study period from 1998 to 2014. This study identified several factors associated with healthcare utilization outcomes and mortality outcomes of hospitalizations with CocUD.

Interactions between opioids and stimulants: Behavioral pharmacology of abuse-related effects

Opioid abuse continues to be a significant public health challenge, with rates of opioid-related overdose deaths increasing continuously over the last two decades. There also has been a sharp increase in overdose deaths involving stimulant drugs, primarily cocaine and methamphetamine. Recent estimates indicate a high prevalence of co-use of opioids and stimulants, which is a particularly complex problem. Behavioral pharmacology research over the last few decades has characterized interactions between opioids and stimulants as well as evaluated potential treatments. This chapter describes interactions between opioids and stimulants, with a focus on pre-clinical studies of abuse-related behavioral effects using self-administration, reinstatement, drug discrimination, place conditioning, and intracranial self-stimulation paradigms in laboratory animals. In general, the literature provides substantial evidence of mutual enhancement between opioids and stimulants for abuse-related effects, although such results are not ubiquitous. Enhanced abuse-related effects could manifest in many ways including engaging in drug seeking and taking behaviors with greater persistence, effort, and motivation and/or increased likelihood of relapse. Moreover, studies on opioid/stimulant combinations set the stage for evaluating potential treatments for polysubstance use. Behavioral pharmacology research has proven invaluable for elucidating these relationships using rigorous experimental designs and quantitative analyses of pharmacological and behavioral data.

Observational cohort study of the triggers, diagnoses and outcomes of the medical emergency team (MET) response in adult psychiatry inpatients colocated with acute medical services in Australia

OBJECTIVES

Medical emergencies in psychiatric inpatients are challenging due to the model of care and limited medical resources. The study aims were to determine the triggers and outcomes of a medical emergency team (MET) call in psychiatric wards, and the risk factors for MET activation and mortality.

DESIGN

Retrospective multisite cohort study.

SETTING

Psychiatry units colocated with acute medical services at three major metropolitan hospitals in Melbourne, Australia.

PARTICIPANTS

We studied 487 adult inpatients who experienced a total of 721 MET calls between January 2015 and January 2020. Patients were relatively young (mean age, 45 years) and had few medical comorbidities, but a high prevalence of smoking, excessive alcohol intake and illicit drug use.

OUTCOME MEASURES

We performed a descriptive analysis of the triggers and outcomes (transfer rates, investigations, final diagnosis) of MET calls. We used logistic regression to determine the factors associated with the primary outcome of inpatient mortality, and the secondary outcome of the need for specific medical treatment compared with simple observation.

RESULTS

The most common MET triggers were a reduced Glasgow Coma Scale, tachycardia and hypotension, and 49% of patients required transfer. The most frequent diagnosis was a drug adverse effect or toxidrome, followed by infection and dehydration. There was a strong association between a leave of absence and MET calls, tachycardia and the final diagnosis of drug adverse effects. Mortality occurred in 3% after MET calls. Several baseline and MET clinical variables were associated with mortality but a model with age (per 10 years, OR 1.61, 95% CI 1.29 to 2.01) and hypoxia (OR 3.59, 95% CI 1.43 to 9.04) independently predicted mortality.

CONCLUSION

Vigilance is required in patients returning from day leave, and drug adverse effects remain a challenging problem in psychiatric units. Hypoxic older patients with cardiovascular comorbidity have a higher risk of death.

Brief report: Cannabis and opioid use disorder among heart failure admissions, 2008-2018

Background

In the United States, both cannabis use disorder (CUD) and opioid use disorder (OUD) have increased in prevalence. The prevalence, demographics, and costs of CUD and OUD are not well known in heart failure (HF) admissions. This study aimed to use a national database to examine the prevalence, demographics, and costs associated with CUD and OUD in HF.

Methods

This study used the National Inpatient Sample from 2008 to 2018 to identify all primary HF admissions with and without the co-diagnosis of OUD or CUD using International Classification for Diagnosis, diagnosis codes. Demographics, costs, and trends were examined.

Results

Between 2008 and 2018, we identified 11,692,995 admissions for HF of which 84,796 (0.8%) had a co-diagnosis of CUD only, and 67,137 (0.6%) had a co-diagnosis of OUD only. The proportion of HF admissions with CUD significantly increased from 0.3% in 2008 to 1.3% in 2018 (p<0.001). The proportion of HF admissions with OUD significantly increased from 0.2% in 2008 to 1.1% in 2018 (p<0.001). Patients admitted with HF and either CUD or OUD were younger, more likely to be Black, and from lower socioeconomic backgrounds (p<0.001, all). HF admissions with OUD or CUD had higher median costs compared to HF admissions without associated substance abuse diagnoses ($8,611 vs. $8,337 for CUD HF and $10,019 vs. $8,337 for OUD HF, p<0.001 for both).

Conclusions

Among discharge records for HF, CUD and OUD are increasing in prevalence, significantly affect underserved populations and are associated with higher costs of stay. Future research is essential to better delineate the cause of these increased costs and create interventions, particularly in underserved populations.

Cannabis use disorder among atrial fibrillation admissions, 2008-2018

BACKGROUND

Despite changes inthe legality of cannabis use and the increasing prevalence of cannabis use disorder (CUD), there is little data investigating the association between CUD and inpatient atrial fibrillation (AF) hospitalizations.

METHODS

Using the National Inpatient Sample, we identified Atrial Fibrillation (AF) hospitalizations with and without a codiagnosis of CUD using International Classification of Diseases diagnosis codes and compared demographics, socioeconomics, comorbidities, outcomes, and trends between cohorts.

RESULTS

Between 2008 and 2018, we identified 5,155,789 admissions for AF of which 31,768 (0.6%) had a codiagnosis of CUD. The proportion of admissions with a history of CUD increased from 0.3% in 2008 to 1.0% in 2018 (p < .001). Hospital discharges of patients with CUD were significantly younger (53 vs. 72 years, p < .001), had a higher proportion of black race (CUD: 26.6% vs. 8.0%, p < .001), and had a higher proportion of income in the lowest income quartile than without a codiagnosis of CUD (CUD: 40.5% vs. 26.2%, p < .001).

CONCLUSIONS

CUD is increasingly prevalent among AF hospitalizations, particularly among young patients. Codiagnosis of CUD in AF hospitalizations is also more common in underserved patients. As a result, it is important for future research to examine and understand the impact of CUD on this population, particularly in the light of changing legislation surrounding the legality of cannabis.

High prevalence of co-occurring substance use in individuals with opioid use disorder

OBJECTIVE

Funding to address the current opioid epidemic has focused on treatment of opioid use disorder (OUD); however, rates of other substance use disorders (SUDs) remain high and non-opioid related overdoses account for nearly 30% of overdoses. This study assesses the prevalence of co-occurring substance use in West Virginia (WV) to inform treatment strategies. The objective of this study was to assess the prevalence of, and demographic and clinical characteristics (including age, gender, hepatitis C virus (HCV) status) associated with, co-occurring substance use among patients with OUD in WV.

METHODS

This retrospective study utilized the West Virginia Clinical and Translation Science Institute Integrated Data Repository, comprised of Electronic Medical Record (EMR) data from West Virginia University Medicine. Deidentified data were extracted from inpatient psychiatric admissions and emergency department (ED) healthcare encounters between 2009 and 2018. Eligible patients were those with OUD who had a positive urine toxicology screen for opioids at the time of their initial encounter with the healthcare system. Extracted data included results of comprehensive urine toxicology testing during the study timeframe.

RESULTS

3,127 patients met the inclusion criteria of whom 72.8% had co-occurring substance use. Of those who were positive for opioids and at least one additional substance, benzodiazepines were the most common co-occurring substances (57.4% of patients yielded a positive urine toxicology screen for both substances), followed by cannabis (53.1%), cocaine (24.5%) and amphetamine (21.6%). Individuals who used co-occurring substances were younger than those who were positive for opioids alone (P < 0.001). There was a higher prevalence of individuals who used co-occurring substances that were HCV positive in comparison to those who used opioids alone (P < 0.001). There were limited gender differences noted between individuals who used co-occurring substances and those who used opioids alone. Among ED admissions who were positive for opioids, 264 were diagnosed with substance toxicity/overdose, 78.4% of whom had co-occurring substance use (benzodiazepines: 65.2%; cannabis: 44.4%; cocaine: 28.5%; amphetamine: 15.5%). Across the 10-year timespan, the greatest increase for the entire sample was in the rate of co-occurring amphetamine and opioid use (from 12.6% in 2014 to 47.8% in 2018).

CONCLUSIONS

These data demonstrate that the current substance use epidemic extends well beyond opioids, suggesting that comprehensive SUD prevention and treatment strategies are needed, especially for those substances which do not yet have any evidence-based and/or medication treatments available.