Extended-Release 7-Day Injectable Buprenorphine for Patients With Minimal to Mild Opioid Withdrawal.

Importance: Buprenorphine is an effective yet underused treatment for opioid use disorder (OUD). Objective: To evaluate the feasibility (acceptability, tolerability, and safety) of 7-day injectable extended-release buprenorphine in patients with minimal to mild opioid withdrawal. Design, Setting, and Participants: This nonrandomized trial comprising 4 emergency departments in the Northeast, mid-Atlantic, and Pacific geographic areas of the US included adults aged 18 years or older with moderate to severe OUD and Clinical Opiate Withdrawal Scale (COWS) scores less than 8 (minimal to mild), in which scores range from 0 to 7, with higher scores indicating increasing withdrawal. Exclusion criteria included methadone-positive urine, pregnancy, overdose, or required admission. Outcomes were assessed at baseline, daily for 7 days by telephone surveys, and in person at 7 days. Patient recruitment occurred between July 13, 2020, and May 25, 2023. Intervention: Injection of a 24-mg dose of a weekly extended-release formulation of buprenorphine (CAM2038) and referral for ongoing OUD care. Main Outcomes and Measures: Primary feasibility outcomes included the number of patients who (1) experienced a 5-point or greater increase in the COWS score or (2) transitioned to moderate or greater withdrawal (COWS score ≥13) within 4 hours of extended-release buprenorphine or (3) experienced precipitated withdrawal within 1 hour of extended-release buprenorphine. Secondary outcomes included injection pain, satisfaction, craving, use of nonprescribed opioids, adverse events, and engagement in OUD treatment. Results: A total of 100 adult patients were enrolled (mean [SD] age, 36.5 [8.7] years; 72% male). Among the patients, 10 (10.0% [95% CI, 4.9%-17.6%]) experienced a 5-point or greater increase in COWS and 7 (7.0% [95% CI, 2.9%-13.9%]) transitioned to moderate or greater withdrawal within 4 hours, and 2 (2.0% [95% CI, 0.2%-7.0%]) experienced precipitated withdrawal within 1 hour of extended-release buprenorphine. A total of 7 patients (7.0% [95% CI, 2.9%-13.9%]) experienced precipitated withdrawal within 4 hours of extended-release buprenorphine, which included 2 of 63 (3.2%) with a COWS score of 4 to 7 and 5 of 37 (13.5%) with a COWS score of 0 to 3. Site pain scores (based on a total pain score of 10, in which 0 indicated no pain and 10 was the worst possible pain) after injection were low immediately (median, 2.0; range, 0-10.0) and after 4 hours (median, 0; range, 0-10.0). On any given day among those who responded, between 29 (33%) and 31 (43%) patients reported no cravings and between 59 (78%) and 75 (85%) reported no use of opioids; 57 patients (60%) reported no days of opioid use. Improving privacy (62%) and not requiring daily medication (67%) were deemed extremely important. Seventy-three patients (73%) were engaged in OUD treatment on day 7. Five serious adverse events occurred that required hospitalization, of which 2 were associated with medication. Conclusions and Relevance: This nonrandomized trial of the feasibility of a 7-day buprenorphine injectable in patients with minimal to mild opioid withdrawal (COWS scores, 0-7) found the formulation to be acceptable, well tolerated, and safe in those with COWS scores of 4 to 7. This new medication formulation could substantially increase the number of patients with OUD receiving buprenorphine. Trial Registration: ClinicalTrials.gov Identifier: NCT04225598.

Using qualitative system dynamics modeling to understand overdose bystander behavior in the context of Connecticut's Good Samaritan Laws and identify effective policy options.

BACKGROUND: Good Samaritan Laws are a harm reduction policy intended to facilitate a reduction in fatal opioid overdoses by enabling bystanders, first responders, and health care providers to assist individuals experiencing an overdose without facing civil or criminal liability. However, Good Samaritan Laws may not be reaching their full impact in many communities due to a lack of knowledge of protections under these laws, distrust in law enforcement, and fear of legal consequences among potential bystanders. The purpose of this study was to develop a systems-level understanding of the factors influencing bystander responses to opioid overdose in the context of Connecticut's Good Samaritan Laws and identify high-leverage policies for improving opioid-related outcomes and implementation of these laws in Connecticut (CT). METHODS: We conducted six group model building (GMB) workshops that engaged a diverse set of participants with medical and community expertise and lived bystander experience. Through an iterative, stakeholder-engaged process, we developed, refined, and validated a qualitative system dynamics (SD) model in the form of a causal loop diagram (CLD). RESULTS: Our resulting qualitative SD model captures our GMB participants' collective understanding of the dynamics driving bystander behavior and other factors influencing the effectiveness of Good Samaritan Laws in the state of CT. In this model, we identified seven balancing (B) and eight reinforcing (R) feedback loops within four narrative domains: Narrative 1 - Overdose, Calling 911, and First Responder Burnout; Narrative 2 - Naloxone Use, Acceptability, and Linking Patients to Services; Narrative 3 - Drug Arrests, Belief in Good Samaritan Laws, and Community Trust in Police; and Narrative 4 - Bystander Naloxone Use, Community Participation in Harm Reduction, and Cultural Change Towards Carrying Naloxone. CONCLUSIONS: Our qualitative SD model brings a nuanced systems perspective to the literature on bystander behavior in the context of Good Samaritan Laws. Our model, grounded in local knowledge and experience, shows how the hypothesized non-linear interdependencies of the social, structural, and policy determinants of bystander behavior collectively form endogenous feedback loops that can be leveraged to design policies to advance and sustain systems change.

Trends in the Prescribing of Buprenorphine for Opioid Use Disorder, 2019-2023.

Objective: To evaluate whether access to buprenorphine to treat opioid use disorder (OUD) was associated with the coronavirus disease pandemic, the relaxation of training requirements to obtain an X-Waiver to prescribe buprenorphine (April 2021), and the removal of the X-Waiver (December 2022). Patients and Methods: The OptumLabs Data Warehouse, which includes claims from Commercial and Medicare Advantage enrollees, was used to evaluate trends in prescription fills from January 1, 2019, to June 30, 2023. We compared fill patterns of buprenorphine for OUD with acamprosate to treat alcohol use disorder and naltrexone to treat alcohol use disorder or OUD. We evaluated trends in the rate ratio (RR) of overall fills; RR by days supply; distribution of fills by daily dose; and distribution of fills by prescriber type. Results: Coronavirus disease (RR, 1.06; 95% CI, 1.01-1.11) was associated with a slightly increased rate of fills for Commercial enrollees but not overall or for Medicare Advantage enrollees. There were also no significant increases (P>0.05) associated with the change in training requirements or removal of the X-Waiver. Over the study period, there was an increasing share of fills for 16+ mg for Commercial enrollees, and buprenorphine prescribers were more likely to be advanced practice nurses or physician assistants. Conclusion: We did not find meaningful improvement in access in response to coronavirus disease or the changes in the X-Waiver. These findings suggest that interventions beyond removing the X-Waiver may be needed to improve buprenorphine access.

Prescription Opioid Dose Change Prior to Fatal Opioid-Detected Overdose.

BACKGROUND: The opioid overdose crisis continues within the U.S., and the role of prescribed opioids and prescribing patterns in overdose deaths remains an important area of research. This study investigated patterns of prescription opioids dispensed in the 12 months prior to opioid-detected overdose death in Connecticut between May 8th, 2016 and January 2nd, 2018, considering differences by demographic characteristics. METHODS: The sample included decedents who had an opioid dispensed within 30 days preceding death. Using multilevel modeling, we estimated the slope of change in mean morphine equivalent (MME) daily dose over 12 months prior to death, considering linear and quadratic effects of time. We estimated the main effects of age, sex, race, and ethnicity and their interactions with time on MME. A sensitivity analysis examined how excluding decedents who did not receive long-term (≥90 days) opioid therapy affected mean MME slopes. Secondary analysis explored differences by toxicology results. RESULTS: Among 1,580 opioid-detected deaths, 179 decedents had prescribed opioids dispensed within 30 days preceding death. Decedents' mean age was 47.3 years (±11.5), 65.5% were male, 81% White non-Hispanic, 9.5% Black non-Hispanic, and 9.5% Hispanic. In the time-only model, linear (ß=6.25, p<0.01) and quadratic (ß=0.49, p=0.02) effects of time were positive, indicating exponentially increasing dose prior to death. Linear change in MME was significantly attenuated in men compared to women (ß=-4.87, p=0.03); however, men were more likely to have non-prescription opioids in their toxicology results (p=0.02). Sensitivity analysis results supported primary findings. CONCLUSION: Rapid dose increases in dispensed opioids may be associated with opioid-detected overdose deaths, especially among women.

Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction.

INTRODUCTION: Despite evidence supporting the benefits of marriage on cardiovascular health, the impact of marital/partner status on the long-term readmission of young acute myocardial infarction (AMI) survivors is less clear. We examined the association between marital/partner status and 1-year all-cause readmission and explored sex differences among young AMI survivors. METHODS: Data were from the VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), which enrolled young adults aged 18-55 years with AMI (2008-2012). The primary end point was all-cause readmission within 1 year of hospital discharge, obtained from medical records and patient interviews and adjudicated by a physician panel. We performed Cox proportional hazards models with sequential adjustment for demographic, socioeconomic, clinical, and psychosocial factors. Sex-marital/partner status interaction was also tested. RESULTS: Of the 2,979 adults with AMI (2002 women [67.2%]; mean age 48 [interquartile range, 44-52] years), unpartnered individuals were more likely to experience all-cause readmissions compared with married/partnered individuals within the first year after hospital discharge (34.6% versus 27.2%, hazard ratio [HR] = 1.31; 95% confidence interval [CI], 1.15-1.49). The association attenuated but remained significant after adjustment for demographic and socioeconomic factors (adjusted HR, 1.16; 95% CI, 1.01-1.34), and it was not significant after further adjusting for clinical factors and psychosocial factors (adjusted HR, 1.10; 95%CI, 0.94-1.28). A sex-marital/partner status interaction was not significant (p = 0.69). Sensitivity analysis using data with multiple imputation and restricting outcomes to cardiac readmission yielded comparable results. CONCLUSIONS: In a cohort of young adults aged 18-55 years, unpartnered status was associated with 1.3-fold increased risk of all-cause readmission within 1 year of AMI discharge. Further adjustment for demographic, socioeconomic, clinical, and psychosocial factors attenuated the association, suggesting that these factors may explain disparities in readmission between married/partnered versus unpartnered young adults. Whereas young women experienced more readmission compared to similar-aged men, the association between marital/partner status and 1-year readmission did not vary by sex.

Receipt of opioid use disorder treatments prior to fatal overdoses and comparison to no treatment in Connecticut, 2016-17.

OBJECTIVE: To determine the relative risk of death following exposure to treatments for OUD compared to no treatment. METHODS: In this retrospective cohort study we compiled and merged state agency data on accidental and undetermined opioid overdose deaths in 2017 and exposures to OUD treatment in the prior six months to determine incidence rates following exposure to different treatment modalities. These rates were compared to the estimated incidence among those exposed to no treatment to determine relative risk of death for each treatment exposure. RESULTS: Incidence rates for opioid poisoning deaths for those exposed to treatment ranged from 6.06±1.40 per 1000 persons exposed to methadone to 17.36±3.22 per 1000 persons exposed to any non-medication treatment. The estimated incidence rate for those not exposed to treatment was 9.80±0.72 per 1000 persons. With no exposure to treatment as referent, exposure to methadone or buprenorphine reduced the relative risk by 38% or 34%, respectively; the relative risk of non-medication treatments was equal to or worse than no exposure to treatment (RR = 1.27-1.77). PRINCIPAL CONCLUSIONS: Exposure to non-MOUD treatments provided no protection against fatal opioid poisoning whereas the relative risk was reduced following exposures to MOUD treatment, even if treatment was not continued. Population level efforts to reduce opioid overdose deaths need to focus on expanding access to agonist-based MOUD treatments and are unlikely to succeed if access to non-MOUD treatments is made more available.

Leveraging a Learning Collaborative Model to Develop and Pilot Quality Measures to Improve Opioid Prescribing in the Emergency Department.

The American College of Emergency Physicians (ACEP) Emergency Medicine Quality Network (E-QUAL) Opioid Initiative was launched in 2018 to advance the dissemination of evidence-based resources to promote the care of emergency department (ED) patients with opioid use disorder. This virtual platform-based national learning collaborative includes a low-burden, structured quality improvement project, data benchmarking, tailored educational content, and resources designed to support a nationwide network of EDs with limited administrative and research infrastructure. As a part of this collaboration, we convened a group of experts to identify and design a set of measures to improve opioid prescribing practices to provide safe analgesia while reducing opioid-related harms. We present those measures here, alongside initial performance data on those measures from a sample of 370 nationwide community EDs participating in the 2019 E-QUAL collaborative. Measures include proportion of opioid administration in the ED, proportion of alternatives to opioids as first-line treatment, proportion of opioid prescription, opioid pill count per prescription, and patient medication safety education among ED visits for atraumatic back pain, dental pain, or headache. The proportion of benzodiazepine and opioid coprescribing for ED visits for atraumatic back pain was also evaluated. This project developed and effectively implemented a collection of 6 potential measures to evaluate opioid analgesic prescribing across a national sample of community EDs, representing the first feasibility assessment of opioid prescribing-related measures from rural and community EDs.

URINE TOXICOLOGY PROFILES OF EMERGENCY DEPARTMENT PATIENTS WITH UNTREATED OPIOID USE DISORDER: A MULTI-SITE VIEW.

BACKGROUND: Opioid overdose deaths in 2021 were the highest ever, driven by fentanyl and polysubstance use. OBJECTIVE: The aim of the study was to characterize drug use, assessed by urine drug screens (UDSs), in patients with untreated opioid use disorder (OUD) presenting to 28 emergency departments (EDs) nationally and by region. METHODS: We analyzed UDSs from patients enrolled in the CTN-0099 ED-INNOVATION (Emergency Department-Initiated Buprenorphine Validation) trial between July 12, 2020 and March 9, 2022. Participants were adult ED patients with OUD not engaged in addiction treatment with a UDS positive for an opioid, but negative for methadone. Sites were divided into "East" and "West" regions. RESULTS: A UDS was available for all 925 enrolled participants, 543 from East and 382 from West. Fentanyl was in 702 specimens (76%) (n = 485 [89%] East vs. n = 217 [57%] West; p < 0.01) and was the only opioid in 269 (29%). After fentanyl, the most common opioids were morphine (presumably heroin; n = 411 [44%]; n = 192 [35%] East vs. n = 219 [57%] West; p < 0.01) and buprenorphine (n = 329 [36%]; n = 186 [35%] East vs. n = 143 [37%] West; p = 0.32). The most common drugs found with opioids were stimulants (n = 545 [59%]), tetrahydrocannabinol (n = 417 [45%]), and benzodiazepines (n = 151 [16%]). Amphetamine-type stimulants were more common in West (n = 209 [55%] vs. East (n = 125 [23%]). Cocaine was more common in East (n = 223 [41%]) vs. West (n = 82 [21%]). The presence of multiple drugs was common (n = 759 [82%]). CONCLUSIONS: Most participants had UDS specimens containing multiple substances; a high proportion had fentanyl, stimulants, and buprenorphine. Regional differences were noted. Given the increased risk of death with fentanyl and polysubstance use, ED providers should be providing risk reduction counseling, treatment, and referral.

Computational phenotypes for patients with opioid-related disorders presenting to the emergency department.

OBJECTIVE: We aimed to discover computationally-derived phenotypes of opioid-related patient presentations to the ED via clinical notes and structured electronic health record (EHR) data. METHODS: This was a retrospective study of ED visits from 2013-2020 across ten sites within a regional healthcare network. We derived phenotypes from visits for patients ≥18 years of age with at least one prior or current documentation of an opioid-related diagnosis. Natural language processing was used to extract clinical entities from notes, which were combined with structured data within the EHR to create a set of features. We performed latent dirichlet allocation to identify topics within these features. Groups of patient presentations with similar attributes were identified by cluster analysis. RESULTS: In total 82,577 ED visits met inclusion criteria. The 30 topics were discovered ranging from those related to substance use disorder, chronic conditions, mental health, and medical management. Clustering on these topics identified nine unique cohorts with one-year survivals ranging from 84.2-96.8%, rates of one-year ED returns from 9-34%, rates of one-year opioid event 10-17%, rates of medications for opioid use disorder from 17-43%, and a median Carlson comorbidity index of 2-8. Two cohorts of phenotypes were identified related to chronic substance use disorder, or acute overdose. CONCLUSIONS: Our results indicate distinct phenotypic clusters with varying patient-oriented outcomes which provide future targets better allocation of resources and therapeutics. This highlights the heterogeneity of the overall population, and the need to develop targeted interventions for each population.

Impact of Marital Stress on 1-Year Health Outcomes Among Young Adults With Acute Myocardial Infarction.

Background Stress experienced in a marriage or committed relationship may be associated with worse patient-reported outcomes after acute myocardial infarction (AMI), but little is known about this association in young adults (≤55 years) with AMI. Methods and Results We used data from VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), an observational cohort study that enrolled individuals aged 18 to 55 years with AMI (2008-2012). Marital stress was self-reported 1 month after AMI using the Stockholm Marital Stress Scale (categorized as absent/mild, moderate, and severe). Outcomes were physical/mental health (Short Form-12), generic health status (EuroQol-5 Dimensions), cardiac-specific quality of life and angina (Seattle Angina Questionnaire), depressive symptoms (Patient Health Questionnaire-9), and all-cause readmission 1 year after AMI. Regression models were sequentially adjusted for baseline health, demographics (sex, age, race or ethnicity), and socioeconomic factors (education, income, employment, and insurance). Sex and marital stress interaction was also tested. Among 1593 married/partnered participants, 576 (36.2%) reported severe marital stress, which was more common in female than male participants (39.4% versus 30.4%, P=0.001). Severe marital stress was significantly associated with worse mental health (beta=-2.13, SE=0.75, P=0.004), generic health status (beta=-3.87, SE=1.46, P=0.008), cardiac-specific quality of life (beta=-6.41, SE=1.65, P<0.001), and greater odds of angina (odds ratio [OR], 1.49 [95% CI, 1.06-2.10], P=0.023) and all-cause readmissions (OR, 1.45 [95% CI, 1.04-2.00], P=0.006), after adjusting for baseline health, demographics, and socioeconomic factors. These associations were similar across sexes (P-interaction all >0.05). Conclusions The association between marital stress and worse 1-year health outcomes was statistically significant in young patients with AMI, suggesting a need for routine screening and the creation of interventions to support patients with stress recovering from an AMI.

Association of Marital/Partner Status with Hospital Readmission Among Young Adults With Acute Myocardial Infarction.

Introduction: Despite evidence supporting the benefits of marriage on cardiovascular health, the impact of marital/partner status on the long-term readmission of young acute myocardial infarction (AMI) survivors is less clear. We aimed to examine the association between marital/partner status and 1-year all-cause readmission, and explore sex differences, among young AMI survivors. Methods: Data were from the VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients), which enrolled young adults aged 18-55 years with AMI (2008-2012). The primary end point was all-cause readmission within 1 year of hospital discharge, obtained from medical record, patient interviews, and adjudicated by a physician panel. We performed Cox proportional hazards models with sequential adjustment for demographic, socioeconomic, clinical and psychosocial factors. Sex-marital/partner status interaction was also tested. Results: Of the 2,979 adults with AMI (2002 women [67.2%]; mean age 48 [interquartile range, 44-52] years), unpartnered individuals were more likely to experience all-cause readmissions compared with married/partnered individuals within the first year after hospital discharge (34.6% versus 27.2%, hazard ratio [HR]=1.31; 95% confidence interval [CI], 1.15-1.49). The association attenuated but remained significant after adjustment for demographic and socioeconomic factors (adjusted HR, 1.16; 95%CI, 1.01-1.34), and was not significant after further adjusting for clinical factors and psychosocial factors (adjusted HR, 1.10; 95%CI, 0.94-1.28). Sex-marital/partner status interaction was not significant (p=0.69). Sensitivity analysis using data with multiple imputation, and restricting outcomes to cardiac readmission yielded comparable results. Conclusions: In a cohort of young adults aged 18-55 years, unpartnered status was associated with 1.3-fold increased risk of all-cause readmission within 1 year of AMI discharge. Further adjustment for demographic, socioeconomic, clinical and psychosocial factors attenuated the association, suggesting that these factors may explain disparities in readmission between married/partnered versus unpartnered young adults. Whereas young women experienced more readmission compared to similar-aged men, the association between marital/partner status and 1-year readmission did not vary by sex.

Early emergency department experience with 7-day extended-release injectable buprenorphine for opioid use disorder.

As the opioid overdose epidemic escalates, there is an urgent need for treatment innovations to address both patient and clinician barriers when initiating buprenorphine in the emergency department (ED). These include insurance status, logistical challenges such as the ability to fill a prescription and transportation, concerns regarding diversion, and availability of urgent referral sites. Extended-release buprenorphine (XR-BUP) preparations such as a new 7-day injectable could potentially solve some of these issues. We describe the pharmacokinetics of a new 7-day XR-BUP formulation and the feasibility of its use in the ED setting. We report our early experiences with this medication (investigational drug CAM2038), in the context of an ongoing clinical trial entitled Emergency Department-Initiated BUP VAlidaTION (ED INNOVATION), to inform emergency clinicians as they consider incorporating this medication into their practice. The medication was approved by the European Medicines Agency in 2018 and the U.S. Food and Drug Administration in 2023 for those 18 years or older for the treatment of moderate to severe opioid use disorder (OUD). We report our experience with approximately 800 ED patients with OUD who received the 7-day XR-BUP preparation in the ED between June 2020 and July 2023.

Young Women With Acute Myocardial Infarction: Risk Prediction Model for 1-Year Hospital Readmission.

Background: Although young women ( aged ≤ 55 years) are at higher risk than similarly aged men for hospital readmission within 1 year after an acute myocardial infarction (AMI), no risk prediction models have been developed for them. The present study developed and internally validated a risk prediction model of 1-year post-AMI hospital readmission among young women that considered demographic, clinical, and gender-related variables. Methods: We used data from the US Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) study (n = 2007 women), a prospective observational study of young patients hospitalized with AMI. Bayesian model averaging was used for model selection and bootstrapping for internal validation. Model calibration and discrimination were respectively assessed with calibration plots and area under the curve. Results: Within 1-year post-AMI, 684 women (34.1%) were readmitted to the hospital at least once. The final model predictors included: any in-hospital complication, baseline perceived physical health, obstructive coronary artery disease, diabetes, history of congestive heart failure, low income ( < $30,000 US), depressive symptoms, length of hospital stay, and race (White vs Black). Of the 9 retained predictors, 3 were gender-related. The model was well calibrated and exhibited modest discrimination (area under the curve = 0.66). Conclusions: Our female-specific risk model was developed and internally validated in a cohort of young female patients hospitalized with AMI and can be used to predict risk of readmission. Whereas clinical factors were the strongest predictors, the model included several gender-related variables (ie, perceived physical health, depression, income level). However, discrimination was modest, indicating that other unmeasured factors contribute to variability in hospital readmission risk among younger women.

Contexte: Bien que les femmes jeunes (≤ 55 ans) présentent un risque plus élevé que les hommes du même âge de réadmission à l'hôpital dans l'année suivant un infarctus aigu du myocarde (IAM), il n'existe pas de modèle de prédiction des risques conçu spécialement pour elles. Dans le cadre de la présente étude, on a créé et validé à l'interne un modèle de prédiction des risques de réadmission à l'hôpital dans l'année suivant un IAM chez les femmes jeunes en tenant compte de variables démographiques, cliniques et associées au genre. Méthodologie: Nous avons utilisé les données de l'étude américaine VIRGO (variation du rétablissement : le rôle du genre dans les résultats des jeunes patientes ayant subi un IAM) (n = 2007 femmes), une étude observationnelle prospective menée auprès de jeunes patientes hospitalisées pour un IAM. Un modèle bayésien d'établissement de la moyenne a été utilisé pour la sélection du modèle et la méthode bootstrap a été utilisée pour la validation interne. L'étalonnage et la discrimination du modèle ont été évalués respectivement au moyen des courbes d'étalonnage et de la surface sous la courbe. Résultats: Dans l'année suivant l'IAM, 684 femmes (34,1 %) ont été réadmises à l'hôpital au moins une fois. Les facteurs prédictifs finaux du modèle sont notamment : toute complication survenue à l'hôpital, l'état de santé physique perçu au départ, la coronaropathie obstructive, le diabète, les antécédents d'insuffisance cardiaque congestive, le faible revenu (< 30 000 $ US), les symptômes dépressifs, la durée du séjour à l'hôpital et l'ethnie (blanc par rapport à noir). Parmi les neuf facteurs prédictifs retenus, trois sont associés au genre. Le modèle est bien étalonné et présente une discrimination modeste (surface sous la courbe = 0,66). Conclusions: Notre modèle de risque propre aux femmes a été conçu et validé à l'interne auprès d'une cohorte de femmes jeunes hospitalisées pour un IAM et peut être utilisé pour prédire le risque de réadmission. Bien que les facteurs cliniques soient les facteurs prédictifs les plus puissants, le modèle inclut plusieurs variables liées au genre (p. ex., état de santé physique perçu, dépression, revenu). Cependant, la discrimination étant modeste, d'autres facteurs non mesurés contribuent à la variabilité du risque de réadmission à l'hôpital chez les femmes plus jeunes.

Use of an Automated Bilingual Digital Health Tool to Reduce Unhealthy Alcohol Use Among Latino Emergency Department Patients: A Randomized Clinical Trial.

Importance: Alcohol use disorders have a high disease burden among US Latino groups. In this population, health disparities persist, and high-risk drinking has been increasing. Effective bilingual and culturally adapted brief interventions are needed to identify and reduce disease burden. Objective: To compare the effectiveness of an automated bilingual computerized alcohol screening and intervention (AB-CASI) digital health tool with standard care for the reduction of alcohol consumption among US adult Latino emergency department (ED) patients with unhealthy drinking. Design, Setting, and Participants: This bilingual unblinded parallel-group randomized clinical trial evaluated the effectiveness of AB-CASI vs standard care among 840 self-identified adult Latino ED patients with unhealthy drinking (representing the full spectrum of unhealthy drinking). The study was conducted from October 29, 2014, to May 1, 2020, at the ED of a large urban community tertiary care center in the northeastern US that was verified as a level II trauma center by the American College of Surgeons. Data were analyzed from May 14, 2020, to November 24, 2020. Intervention: Patients randomized to the intervention group received AB-CASI, which included alcohol screening and a structured interactive brief negotiated interview in their preferred language (English or Spanish) while in the ED. Patients randomized to the standard care group received standard emergency medical care, including an informational sheet with recommended primary care follow-up. Main Outcomes and Measures: The primary outcome was the self-reported number of binge drinking episodes within the last 28 days, assessed by the timeline followback method at 12 months after randomization. Results: Among 840 self-identified adult Latino ED patients (mean [SD] age, 36.2 [11.2] years; 433 [51.5%] male; and 697 [83.0%] of Puerto Rican descent), 418 were randomized to the AB-CASI group and 422 to the standard care group. A total of 443 patients (52.7%) chose Spanish as their preferred language at enrollment. At 12 months, the number of binge drinking episodes within the last 28 days was significantly lower in those receiving AB-CASI (3.2; 95% CI, 2.7-3.8) vs standard care (4.0; 95% CI, 3.4-4.7; relative difference [RD], 0.79; 95% CI, 0.64-0.99). Alcohol-related adverse health behaviors and consequences were similar between groups. The effect of AB-CASI was modified by age; at 12 months, the relative reduction in the number of binge drinking episodes within the last 28 days in the AB-CASI vs standard care group was 30% in participants older than 25 years (RD, 0.70; 95% CI, 0.54-0.89) compared with an increase of 40% in participants 25 years or younger (RD, 1.40; 95% CI, 0.85-2.31; P = .01 for interaction). Conclusions and Relevance: In this study, US adult Latino ED patients who received AB-CASI had a significant reduction in the number of binge drinking episodes within the last 28 days at 12 months after randomization. These findings suggest that AB-CASI is a viable brief intervention that overcomes known procedural barriers to ED screening, brief intervention, and referral to treatment and directly addresses alcohol-related health disparities. Trial Registration: ClinicalTrials.gov Identifier: NCT02247388.

Modeling human health behavior with a new index that measures connectivity.

Objective: Health behavior is an important determinant of health. Adherence to medication and abstinence from harmful substances are two critical health behaviors. Although conceptually related, both are assessed using disparate measures. The goal of this study was to develop and test a new index, gamma, which models health behavior by quantifying the connectedness of discrete incidents of health behavior. Study design and setting: We derive gamma from first principles and use it to reanalyze data from a published trial of treatment for alcohol use disorders. We model a primary endpoint, changes in binge drinking, using gamma and a traditional measure: change in number of monthly binges. The original trial was conducted in an urban hospital emergency department in the U.S. Results: Incorporating gamma into the model provided additional insights into the relationship between the intervention and long-term changes in drinking. Conclusion: Gamma provides an additional tool to model the effects of interventions on outcomes in trials of substance use interventions or medication adherence. Gamma measures the pattern of behavior and may increase the explanatory power of models assessing differences between various treatments. The gamma index offers the possibility of novel real-time interventions to promote healthy behaviors.

Perspectives of Clinicians and Staff at Community-Based Opioid Use Disorder Treatment Settings on Linkages With Emergency Department-Initiated Buprenorphine Programs.

Importance: An increasing number of emergency departments (EDs) are initiating buprenorphine for opioid use disorder (OUD) and linking patients to ongoing community-based treatment, yet community-based clinician and staff perspectives regarding this practice have not been characterized. Objective: To explore perspectives and experiences regarding ED-initiated buprenorphine among community-based clinicians and staff in geographically distinct regions. Design, Setting, and Participants: This qualitative study reports findings from Project ED Health, a hybrid type 3 effectiveness-implementation study designed to evaluate the impact of implementation facilitation on ED-initiated buprenorphine with referral to ongoing medication treatment. Clinicians and staff from community-based treatment programs were identified by urban academic EDs as potential referral sites for ongoing OUD treatment in 4 cities across the US in a formative evaluation as having the capability to continue medication treatment. Focus groups were held from April 1, 2018, to January 11, 2019, to examine community OUD treatment clinician and staff perspectives on accepting patients who have received ED-initiated buprenorphine. Data were analyzed from August 2020 to August 2022. Main Outcomes and Measures: Data collection and analysis were grounded in the Promoting Action on Research Implementation in Health Services (PARIHS) implementation science framework, focusing on domains including evidence, context, and facilitation. Results: A total of 103 individuals (mean [SD] age, 45.3 [12.0] years; 76 female and 64 White) participated in 14 focus groups (groups ranged from 3-22 participants). Participants shared negative attitudes toward buprenorphine and variable attitudes toward ED-initiated buprenorphine. Prominent barriers included the community site treatment capacity and structure as well as payment and regulatory barriers. Perceived factors that could facilitate this model included additional substance use disorder training for ED staff, referrals and communication, greater inclusion of peer navigators, and addressing sociostructural marginalization that patients faced. Conclusions and Relevance: In this study of community-based clinicians and staff positioned to deliver OUD treatment, participants reported many barriers to successful linkages for patients who received ED-initiated buprenorphine. Strategies to improve these linkages included educating communities and programs, modeling low-barrier philosophies, and using additional staff trained in addiction as resources to improve transitions from EDs to community partners.

National Institute on Drug Abuse Clinical Trials Network Meeting Report: Advancing Emergency Department Initiation of Buprenorphine for Opioid Use Disorder.

Opioid use disorder and opioid overdose deaths are a major public health crisis, yet highly effective evidence-based treatments are available that reduce morbidity and mortality. One such treatment, buprenorphine, can be initiated in the emergency department (ED). Despite evidence of efficacy and effectiveness for ED-initiated buprenorphine, universal uptake remains elusive. On November 15 and 16, 2021, the National Institute on Drug Abuse Clinical Trials Network convened a meeting of partners, experts, and federal officers to identify research priorities and knowledge gaps for ED-initiated buprenorphine. Meeting participants identified research and knowledge gaps in 8 categories, including ED staff and peer-based interventions; out-of-hospital buprenorphine initiation; buprenorphine dosing and formulations; linkage to care; strategies for scaling ED-initiated buprenorphine; the effect of ancillary technology-based interventions; quality measures; and economic considerations. Additional research and implementation strategies are needed to enhance adoption into standard emergency care and improve patient outcomes.

Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients.

BACKGROUND: Younger women experience worse health status than men after their index episode of acute myocardial infarction (AMI). However, whether women have a higher risk for cardiovascular and noncardiovascular hospitalizations in the year after discharge is unknown. OBJECTIVES: The aim of this study was to determine sex differences in causes and timing of 1-year outcomes after AMI in people aged 18 to 55 years. METHODS: Data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young patients with AMI across 103 U.S. hospitals, were used. Sex differences in all-cause and cause-specific hospitalizations were compared by calculating incidence rates ([IRs] per 1,000 person-years) and IR ratios with 95% CIs. We then performed sequential modeling to evaluate the sex difference by calculating subdistribution HRs (SHRs) accounting for deaths. RESULTS: Among 2,979 patients, at least 1 hospitalization occurred among 905 patients (30.4%) in the year after discharge. The leading causes of hospitalization were coronary related (IR: 171.8 [95% CI: 153.6-192.2] among women vs 117.8 [95% CI: 97.3-142.6] among men), followed by noncardiac hospitalization (IR: 145.8 [95% CI: 129.2-164.5] among women vs 69.6 [95% CI: 54.5-88.9] among men). Furthermore, a sex difference was present for coronary-related hospitalizations (SHR: 1.33; 95% CI: 1.04-1.70; P = 0.02) and noncardiac hospitalizations (SHR: 1.51; 95% CI: 1.13-2.07; P = 0.01). CONCLUSIONS: Young women with AMI experience more adverse outcomes than men in the year after discharge. Coronary-related hospitalizations were most common, but noncardiac hospitalizations showed the most significant sex disparity.