Brief report: Effect of cardiac multi-morbidity on COVID hospitalization outcomes.

BACKGROUND: The COVID-19 pandemic has stretched healthcare resources thin and led to significant morbidity and mortality. There have been no studies utilizing national data to investigate the role of cardiac risk factors on outcomes of COVID hospitalizations. The aim of this study was to examine the effect of cardiac multimorbidity on healthcare utilization and outcomes among COVID hospitalizations during the first year of the pandemic. METHODS: Using the national inpatient sample (NIS), we identified all adult hospital admissions with a primary diagnosis of COVID in 2020, using International Classification of Diseases, Tenth Revision, Clinical Modification codes (ICD010-CM). Coronary artery disease, diabetes mellitus, heart failure, peripheral vascular disease, previous stroke, and atrial fibrillation were then identified as cardiac comorbidities using ICD-10-CM codes. Multivariable logistic regression was used to evaluate the effect of cardiac multimorbidity on mortality and mechanical ventilation. RESULTS: We identified 1,005,040 primary COVID admissions in 2020. Of these admissions, 216,545 (20.6%) had CAD, 413,195 (39.4%) had DM, 176,780 (16.8%) had HF, 159,700 (15.2%) had AF, 30735 (2.9%) had PVD, and 25,155 (2.4%) had a previous stroke. When stratified by number of comorbidities, 428390 (40.8%) had 0 comorbidities, 354960 (33.8%) had 1, 161225 (15.4%) had 2, and 105465 (10.0%) had 3+ comorbidities. COVID hospitalizations with higher cardiac multimorbidity had higher mortality rates (p<0.001) higher MV rates (p<0.001). In our multivariable regression, these associations remained with increasing odds for mortality with each stepwise increase in cardiac multimorbidity (1: OR 1.48 (1.45-1.50); 2: OR 2.13 (2.09-2.17); 3+: OR 2.43 (2.38-2.48), p<0.001, all). CONCLUSIONS: Our study is the first national examination of the impact of cardiac comorbidities on COVID outcomes. A higher number of cardiac comorbidities was associated with significantly higher rates of MV and in-hospital mortality, independent of age. Future, more granular, and longitudinal studies are needed to further examine these associations.

Noninvasive Ventilation in the Cardiac Intensive Care Unit.

Over the last several decades, the cardiac intensive care unit (CICU) has seen an increase in the complexity of the patient population and etiologies requiring CICU admission. Currently, respiratory failure is the most common reason for admission to the contemporary CICU. As a result, noninvasive ventilation (NIV), including noninvasive positive-pressure ventilation and high-flow nasal cannula, has been increasingly utilized in the management of patients admitted to the CICU. In this review, we detail the different NIV modalities and summarize the evidence supporting their use in conditions frequently encountered in the CICU. We describe the unique pathophysiologic interactions between positive pressure ventilation and left and/or right ventricular dysfunction. Additionally, we discuss the evidence and strategies for utilization of NIV as a method to reduce extubation failure in patients who required invasive mechanical ventilation. Lastly, we examine unique considerations for managing respiratory failure in certain, high-risk patient populations such as those with right ventricular failure, severe valvular disease, and adult congenital heart disease. Overall, it is critical for clinicians who practice in the CICU to be experts with the application, risks, benefits, and modalities of NIV in cardiac patients with respiratory failure.

A Multicenter Study of Stellate Ganglion Block as a Temporizing Treatment for Refractory Ventricular Arrhythmias.

BACKGROUND: Ventricular tachycardia (VT) and ventricular fibrillation (VF) are life-threatening conditions and can be refractory to conventional drug and device interventions. Stellate ganglion blockade (SGB) has been described as an adjunct, temporizing intervention in patients with refractory ventricular arrhythmia. We examined the association of SGB with VT/VF in a multicenter registry. OBJECTIVES: This study examined the efficacy of SGB for treatment/temporization of refractory VT/VF. METHODS: The authors present the first analysis from a multicenter registry of patients treated for refractory ventricular arrhythmia at a clinical site in the Czech Republic and the United States. Data were collected between 2016 and 2022. SGB was performed at the bedside by anesthesiologists and/or cardiologists. Outcomes of interest were VT/VF burden and defibrillations at 24 hours before and after SGB. RESULTS: In total, there were 117 patients with refractory ventricular arrhythmias treated with SGB at Duke (n = 49) and the Institute for Clinical and Experimental Medicine (n = 68). The majority of patients were male (94.0%), were White (87.2%), and had an implantable cardioverter-defibrillator (70.1%). The most common etiology of heart disease was ischemic cardiomyopathy (52.1%), and monomorphic VT was the most common morphology (70.1%). Within 24 hours before SGB (0-24 hours), the median episodes of VT/VF were 7.5 (Q1-Q3: 3.0-27.0), and 24 hours after SGB, the median decreased to 1.0 (Q1-Q3: 0.0-4.5; P < 0.001). At 24 hours before SGB, the median defibrillation events were 2.0 (Q1-Q3: 0.0-8.0), and 24 hours after SGB, the median decreased to 0.0 (Q1-Q3: 0.0-1.0; P < 0.001). CONCLUSIONS: In the largest cohort of patients with treatment-refractory ventricular arrhythmia, we demonstrate that SGB use was associated with a reduction in the ventricular arrhythmia burden and need for defibrillation therapy.

Emerging devices for heart failure management.

There have been significant advances in the treatment of heart failure (HF) in recent years, driven by significant strides in guideline-directed medical therapy (GDMT). Despite this, HF is still associated with high levels of morbidity and mortality, and most patients do not receive optimal medical therapy. In conjunction with the improvement of GDMT, novel device therapies have been developed to better treat HF. These devices include technology capable of remotely monitoring HF physiology, devices that modulate the autonomic nervous system, and those that structurally change the heart with the ultimate aim of addressing the root causes of HF physiology As these device therapies gradually integrate into the fabric of HF patient care, it becomes increasingly important for modern cardiologists to become familiar with them. Hence, the objective of this review is to shed light on currently emerging devices for the treatment of HF.

Effects of COVID-19 on heart failure admissions.

Despite significant investigation into the effects of COVID-19 on cardiovascular disease, there is a paucity of national data specifically examining its effects on heart failure (HF) hospitalizations. Previous cohort study data demonstrate worsened outcomes in HF patients with recent COVID-19 infection. To better understand this association, this study aimed to utilize a nationally representative database to examine demographics, outcomes, and health care utilization in hospitalizations for HF with a codiagnosis of COVID-19.

Trends and Outcomes in Cardiac Arrest Among Heart Failure Admissions.

There is limited large, national data investigating the prevalence, characteristics, and outcomes of cardiac arrest (CA) in patients hospitalized for heart failure (HF). The goal of this study was to examine the characteristics, trends, and outcomes of HF hospitalizations complicated by in-hospital CA. We used the National Inpatient Sample to identify all primary HF admissions from 2016 to 2019. Cohorts were built based on the presence of a codiagnosis of CA. Diagnoses were identified using International Classification of Diseases, Tenth Revision, Clinical Modification codes. Associations with CA were then analyzed using multivariate logistic regression. We identified a total of 4,905,564 HF admissions, 56,170 (1.1%) of which had CA. Hospitalizations complicated by CA were significantly more likely to be male, to have coronary artery disease, renal disease, and less likely to be White (p <0.001, all). Age <65 (odds ratio [OR] 1.18, p <0.001), renal disease (OR 2.41, p <0.001), and coronary artery disease (OR 1.26, p <0.001) had higher odds of CA while female gender (OR 0.84, confidence interval [CI] 0.83 to 0.86, p <0.001) or HFpEF (OR 0.49, CI 0.48 to 0.50, p <0.001) had lower odds of CA. Patients with CA had higher inpatient mortality (CA 54.2% vs no CA 2.1%, p <0.001), which persisted after multivariate adjustment (OR 64.8, CI 63.5 to 66.0, p <0.001). CA occurs in >1 in 1,000 HF hospitalizations and remains a prominent and serious event associated with a high mortality. Further research is needed to examine long-term outcomes and mechanical circulatory support utilization with more granularity in HF patients with in-hospital CA.

Trends in outcomes and resource utilization for acute myocardial infarction admissions during the COVID-19 pandemic.

During the early COVID-19 pandemic, resources were at times rationed, and as a result, cardiovascular outcomes may have suffered, however despite this, there is a paucity of national data specifically examining the relationship between COVID-19 and acute myocardial infarction (AMI). Some of the most robust previous cohort studies suggest the risk of AMI is increased in patients with COVID-19 infection, and disproportionately so in certain patient populations. To better define national trends in the associations between COVID-19 and AMI, this study aimed to examine demographics, outcomes, and health care utilization in hospitalizations for AMI with a codiagnosis of COVID-19 using a nationally representative database.

Clinical implications of Type 2 diabetes on outcomes after cardiac transplantation.

BACKGROUND: T2D is an increasingly common disease that is associated with worse outcomes in patients with heart failure. Despite this, no contemporary study has assessed its impact on heart transplantation outcomes. This paper examines the demographics and outcomes of patients with type 2 diabetes (T2D) undergoing heart transplantation. METHODS: Using the United Network for Organ Sharing (UNOS) database, patients listed for transplant were separated into cohorts based on history of T2D. Demographics and comorbidities were compared, and cox regressions were used to examine outcomes. RESULTS: Between January 1st, 2011 and June 12th, 2020, we identified 9,086 patients with T2D and 23,676 without T2D listed for transplant. The proportion of patients with T2D increased from 25.2% to 27.9% between 2011 and 2020. Patients with T2D were older, more likely to be male, less likely to be White, and more likely to pay with public insurance (p<0.001, all). After adjustment, T2D patients had a lower likelihood of transplantation (Hazard Ratio [HR]: 0.93, CI: 0.90-0.96, p<0.001) and a higher likelihood of post-transplant mortality (HR: 1.30, CI: 1.20-1.40, p<0.001). Patients with T2D were more likely to be transplanted in the new allocation system compared to the old allocation system (all, p<0.001). CONCLUSIONS: Over the last ten years, the proportion of heart transplant recipients with T2D has increased. These patients are more likely to be from traditionally underserved populations. Patients with T2D have a lower likelihood of transplantation and a higher likelihood of post-transplant mortality. After the allocation system change, likelihood of transplantation has improved for patients with T2D.

Preoperative Deficiency Anemia in Digital Replantation: A Marker of Disparities, Increased Length of Stay, and Hospital Cost.

Introduction The effects of preoperative anemia have been shown to be an independent risk factor associated with poor outcomes in both cardiac and noncardiac surgery. Socioeconomic status and race have also been linked to poor outcomes in a variety of conditions. This study was designed to study iron deficiency anemia as a marker of health disparities, length of stay and hospital cost in digital replantation. Materials and Methods Digit replantations performed between 2008 and 2014 were reviewed from the National Inpatient Sample (NIS) database using the ICD-9-CM procedure codes 84.21 and 84.22. Patients with more than one code or with an upper arm (83.24) or hand replantation (84.23) code were excluded. Extracted variables included age, race, comorbidities, hospital type, hospital region, insurance payer type, and median household income quartile. Digit replantations were separated into patients with and without deficiency anemia. Demographics, comorbidities, and access to care were compared between cohorts by chi-squared and t -tests. Multivariate regressions were utilized to assess the effects of anemia on total cost and length of stay. The regression controlled for demographics, region, income, insurance, hospital type, and comorbidities. Beta coefficient was calculated for length of stay and hospital cost. The regression controlled for significant age, race, region, and comorbidities in addition to the above variables. Results In the studied patient population of those without anemia, 59.5% were Caucasian, and in patients with anemia, 46.7% were Caucasian ( p < 0.001). Whereas in the in the studied patient population of those without anemia, 6.7% were Black, and in patients with anemia, 15.7% were Black ( p < 0.001). Median household income, payer information, length of stay and total cost of hospitalization had statistically significant differences. Using regression and ß-coefficient, the effect of anemia on length of stay and cost was also significant ( p < 0.001). Regression controlled for age, race, region and comorbidities, with the ß-coefficient for effect on cost 37327.18 and on length of stay 3.96. Conclusion These data show that deficiency anemias are associated with a significant increase in length and total cost of stay in patients undergoing digital replantation. Additionally, a larger percentage of patients undergoing digital replantations and who have deficiency anemia belong to the lowest income quartile. Our findings present an important finding for public health prevention and resource allocation. Future studies could focus on clinical intervention with iron supplementation at the time of digital replantation.

Trends in transcatheter and surgical aortic valve replacement in the United States, 2008-2018.

We conducted a retrospective study using the NIS database from 2008 to 2018 to examine the most contemporary national hospitalization trends of transcatheter (TAVR) and surgical (SAVR) aortic valve replacement regarding volume, patient and hospital demographics and economics, resource utilization, total cost of stay, and in-hospital mortality. We demonstrate that TAVR procedures have been performed on a slow by steadily diversifying patient population while volume has grown significantly, while in-hospital mortality, length of stay, discharge home, and costs have improved, whereas these metrics have generally remained stable for SAVR. These trends will likely drive continued TAVR adoption, greatly expanding the overall aortic stenosis patient population eligible for AVR.

Trends in Heart Failure Hospitalizations in the US from 2008 to 2018.

BACKGROUND: Heart failure (HF) is a major driver of health care costs in the United States and is increasing in prevalence. There is a paucity of contemporary data examining trends among hospitalizations for HF that specifically compare HF with reduced or preserved ejection fraction (HFrEF or HFpEF, respectively). METHODS AND RESULTS: Using the National Inpatient Sample, we identified 11,692,995 hospitalizations due to HF. Hospitalizations increased from 1,060,540 in 2008 to 1,270,360 in 2018. Over time, the median age of patients hospitalized because of HF decreased from 76.0 to 73.0 years (P < 0.001). There were increases in the proportions of Black patients (18.4% in 2008 to 21.2% in 2018) and of Hispanic patients (7.1% in 2008 to 9.0% in 2018; P < 0.001, all). Over the study period, we saw an increase in comorbid diabetes, sleep apnea and obesity (P < 0.001, all) in the entire cohort with HF as well as in the HFrEF and HFpEF subgroups. Persons admitted because of HFpEF were more likely to be white and older compared to admissions because of HFrEF and also had lower costs. Inpatient mortality decreased from 2008 to 2018 for overall HF (3.3% to 2.6%) and HFpEF (2.4% to 2.1%; P < 0.001, all) but was stable for HFrEF (2.8%, both years). Hospital costs, adjusted for inflation, decreased in all 3 groups across the study period, whereas length of stay was relatively stable over time for all groups. CONCLUSIONS: The volume of patients hospitalized due to HF has increased over time and across subgroups of ejection fraction. The demographics of HF, HFrEF and HFpEF have become more diverse over time, and hospital inpatient costs have decreased, regardless of HF type. Inpatient mortality rates improved for overall HF and HFpEF admissions but remained stable for HFrEF admissions.

Trends and Socioeconomic Health Outcomes of Cannabis Use Among Patients With Gastroparesis: A United States Nationwide Inpatient Sample Analysis.

BACKGROUND: Although cannabis may worsen nausea and vomiting for patients with gastroparesis, it may also be an effective treatment for gastroparesis-related abdominal pain. Given conflicting data and a lack of current epidemiological evidence, we aimed to investigate the association of cannabis use on relevant clinical outcomes among hospitalized patients with gastroparesis. MATERIALS AND METHODS: Patients with a diagnosis of gastroparesis were reviewed from the National Inpatient Sample (NIS) database between 2008 and 2014. Gastroparesis was identified by International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes with patients classified based on a diagnosis of cannabis use disorder. Demographics, comorbidities, socioeconomic status, and outcomes were compared between cohorts using χ2 and analysis of variance. Logistic regression was then performed and annual trends also evaluated. RESULTS: A total of 1,473,363 patients with gastroparesis were analyzed [n=33,085 (2.25%) of patients with concomitant cannabis use disorder]. Patients with gastroparesis and cannabis use disorder were more likely to be younger and male gender compared with nonusers (36.7±18.8 vs. 51.9±16.8; P<0.001 and 52.9% vs. 33.5%; P<0.001, respectively). Race/ethnicity was different between groups (P<0.001). Cannabis users had a lower median household income and were more likely to have Medicaid payor status (all P<0.001). Controlling for confounders, length of stay, and mortality were significantly decreased for patients with gastroparesis and cannabis use (all P<0.001). CONCLUSION: While patients with gastroparesis and cannabis use disorder were younger, with a lower socioeconomic status, and disproportionately affected by psychiatric diagnoses, these patients had better hospitalization outcomes, including decreased length of stay and improved in-hospital mortality.

Evaluation of socioeconomic and healthcare disparities on same admission cholecystectomy after endoscopic retrograde cholangiopancreatography among patients with acute gallstone pancreatitis.

BACKGROUND: Despite literature and guidelines recommending same admission cholecystectomy (CCY) after endoscopic retrograde cholangiopancreatography (ERCP) for patients with acute gallstone pancreatitis, clinical practice remains variable. The aim of this study was to investigate the role of clinical and socio-demographic factors in the management of acute gallstone pancreatitis. METHODS: Patients with acute gallstone pancreatitis who underwent ERCP during hospitalization were reviewed from the U.S. Nationwide Inpatient Sample database between 2008 and 2014. Patients were classified by treatment strategy: ERCP + same admission CCY (ERCP + CCY) versus ERCP alone. Measured variables including age, race/ethnicity, Charlson Comorbidity Index (CCI), hospital type/region, insurance payer, household income, length of hospital stay (LOS), hospitalization cost, and in-hospital mortality were compared between cohorts using χ2 and ANOVA. Multivariable logistic regression was performed to identify specific predictors of same admission CCY. RESULTS: A total of 205,012 patients (ERCP + CCY: n = 118,318 versus ERCP alone: n = 86,694) were analyzed. A majority (53.4%) of patients that did not receive same admission CCY were at urban-teaching hospitals. LOS was longer with higher associated costs for patients with same admission CCY [(6.8 ± 5.6 versus 6.4 ± 6.5 days; P < 0.001) and ($69,135 ± 65,913 versus $52,739 ± 66,681; P < 0.001)]. Mortality was decreased significantly for patients who underwent ERCP + CCY versus ERCP alone (0.4% vs 1.1%; P < 0.001). Multivariable regression demonstrated female gender, Black race, higher CCI, Medicare payer status, urban-teaching hospital location, and household income decreased the odds of undergoing same admission CCY + ERCP (all P < 0.001). CONCLUSION: Based upon this analysis, multiple socioeconomic and healthcare-related disparities influenced the surgical management of acute gallstone pancreatitis. Further studies to investigate these disparities are indicated.

Impact of Obesity on Heart Transplantation Outcomes.

Background Patients with obesity and advanced heart failure face unique challenges on the path to heart transplantation. There are limited data on waitlist and transplantation outcomes in this population. We aimed to evaluate the impact of obesity on heart transplantation outcomes, and to investigate the effects of the new organ procurement and transplantation network allocation system in this population. Methods and Results This cohort study of adult patients listed for heart transplant used the United Network for Organ Sharing database from January 2006 to June 2020. Patients were stratified by body mass index (BMI) (18.5-24.9, 25-29.9, 30-34.9, 35-39.9, and 40-55 kg/m2). Recipient characteristics and donor characteristics were analyzed. Outcomes analyzed included transplantation, waitlist death, and posttransplant death. BMI 18.5 to 24.9 kg/m2 was used as the reference compared with progressive BMI categories. There were 46 645 patients listed for transplantation. Patients in higher BMI categories were less likely to be transplanted. The lowest likelihood of transplantation was in the highest BMI category, 40 to 55 kg/m2 (hazard ratio [HR], 0.19 [0.05-0.76]; P=0.02). Patients within the 2 highest BMI categories had higher risk of posttransplantation death (HR, 1.29; P<0.001 and HR, 1.65; P<0.001, respectively). Left ventricular assist devices among patients in obese BMI categories decreased after the allocation system change (P<0.001, all). After the change, patients with obesity were more likely to undergo transplantation (BMI 30-35 kg/m2: HR, 1.31 [1.18-1.46], P<0.001; BMI 35-55 kg/m2: HR, 1.29 [1.06-1.58]; P=0.01). Conclusions There was an inverse relationship between BMI and likelihood of heart transplantation. Higher BMI was associated with increased risk of posttransplant mortality. Patients with obesity were more likely to undergo transplantation under the revised allocation system.

Trends and Outcomes of Cardiac Transplantation in the Lowest Urgency Candidates.

Background Because of discrepancies between donor supply and recipient demand, the cardiac transplantation process aims to prioritize the most medically urgent patients. It remains unknown how recipients with the lowest medical urgency compare to others in the allocation process. We aimed to examine differences in clinical characteristics, organ allocation patterns, and outcomes between cardiac transplantation candidates with the lowest and highest medical urgency. Methods and Results We performed a retrospective analysis of the United Network for Organ Sharing database. Patients listed for cardiac transplantation between January 2011 and May 2020 were stratified according to status at time of transplantation. Baseline recipient and donor characteristics, waitlist survival, and posttransplantation outcomes were compared in the years before and after the 2018 allocation system change. Lower urgency patients in the old system were older (58.5 versus 56 years) and more likely female (54.4% versus 23.8%) compared with the highest urgency patients, and these trends persisted in the new system (P<0.001, all). Donors for the lowest urgency patients were more likely older, female, or have a history of cytomegalovirus, hepatitis C, or diabetes (P<0.01, all). The lowest urgency patients had longer waitlist times and under the new allocation system received organs from shorter distances with decreased ischemic times (178 miles versus 269 miles, 3.1 versus 3.5 hours; P<0.001, all). There was no difference in posttransplantation survival (P<0.01, all). Conclusions Patients transplanted as lower urgency receive hearts from donors with additional comorbidities compared with higher urgency patients, but outcomes are similar at 1 year.

Comparison of Autologous Breast Reconstruction Complications by Type of Neoadjuvant Chemotherapy Regimen.

BACKGROUND: Neoadjuvant chemotherapy before mastectomy helps reduce tumor burden and pathologic response in breast cancer. Limited evidence exists regarding how neoadjuvant chemotherapy impacts outcomes following microvascular breast reconstruction. This study examines the effects of neoadjuvant chemotherapy regimens and schedules on microvascular breast reconstruction complication rates and also assesses the effects of neoadjuvant chemotherapy on circulating immune cells related to wound healing. METHODS: Patients who underwent neoadjuvant chemotherapy and microvascular breast reconstruction at Yale New Haven Hospital between 2013 and 2018 were identified. Demographic variables, oncologic history, chemotherapy regimens, and complication profiles were collected. Chemotherapy regimens were stratified by inclusion of anthracycline and order of taxane administration. Chi-square, Fisher's exact, and t tests were used for univariate analysis. Multivariate binary logistic regression was used to control for covariates. RESULTS: One hundred patients met inclusion criteria. On multivariate analysis, the administration of taxane first in an anthracycline-containing chemotherapy sequence was associated with increased complications (OR, 3.521; p = 0.012), particularly fat necrosis (OR, 2.481; p = 0.040). In the logistic regression model evaluating the effect of the taxane-first regimen on complication rates, the area under the curve was estimated to be 0.760 (p < 0.0001), particularly fat necrosis 0.635 (p < 0.05). The dosage of chemotherapy, number of days between neoadjuvant chemotherapy completion and surgery, and number of circulating immune cells did not significantly differ among patients who experienced complications. CONCLUSIONS: Taxane-first, anthracycline-containing neoadjuvant chemotherapy regimens were associated with increased complications, particularly fat necrosis. The increased postreconstruction complication risk must be weighed against the benefits of taxane-first regimens in improving tumor outcome. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, III.

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.

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.