Churn in Supplemental Nutrition Assistance Program: Changes in Medicaid Expenditure and Acute Care Utilization.

BACKGROUND: The Supplemental Nutrition Assistance Program (SNAP) provides financial assistance to low-income individuals and families to help them purchase food. However, when participants experience short-term disenrollment from the program, known as churn, it can disrupt their health care usage patterns or result in acute health care needs due to the loss of financial benefits and time burden required to reapply for SNAP. OBJECTIVE: The objective of this study was to examine the changes in health care expenditures and acute care utilization during periods of SNAP churn compared with nonchurn periods among those who churn during the study period. RESEARCH DESIGN: Longitudinal analysis of Pennsylvania Medicaid claims data for enrollees participating in SNAP between 2016 and 2018 using individual fixed-effects models. We add to the literature by estimating whether these changes varied based on the amount of SNAP benefit lost, or differed between adults and children. RESULTS: We found that SNAP churn was associated with reductions in pharmacy and primary care spending across all SNAP benefit levels and age groups. Specifically, our findings indicate a reduction of 4%-6% in pharmacy expenditures for adults and 2%-4% for children. Moreover, there was a 3%-4% decrease in primary care expenditures for adults and a 4%-6% decrease for children. Acute care utilization did not significantly change during a SNAP churn period. CONCLUSION: Our findings of decreases in pharmacy and primary care spending suggest that preventing SNAP churn may help reduce instances where adult and child participants forgo necessary care.

Prevalence of Testing for Human Immunodeficiency Virus, Hepatitis B Virus, and Hepatitis C Virus Among Medicaid Enrollees Treated With Medications for Opioid Use Disorder in 11 States, 2016-2019.

BACKGROUND: Limited information exists about testing for human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) among Medicaid enrollees after starting medication for opioid use disorder (MOUD), despite guidelines recommending such testing. Our objectives were to estimate testing prevalence and trends for HIV, HBV, and HCV among Medicaid enrollees initiating MOUD and examine enrollee characteristics associated with testing. METHODS: We conducted a serial cross-sectional study of 505 440 initiations of MOUD from 2016 to 2019 among 361 537 Medicaid enrollees in 11 states. Measures of MOUD initiation; HIV, HBV, and HCV testing; comorbidities; and demographics were based on enrollment and claims data. Each state used Poisson regression to estimate associations between enrollee characteristics and testing prevalence within 90 days of MOUD initiation. We pooled state-level estimates to generate global estimates using random effects meta-analyses. RESULTS: From 2016 to 2019, testing increased from 20% to 25% for HIV, from 22% to 25% for HBV, from 24% to 27% for HCV, and from 15% to 19% for all 3 conditions. Adjusted rates of testing for all 3 conditions were lower among enrollees who were male (vs nonpregnant females), living in a rural area (vs urban area), and initiating methadone or naltrexone (vs buprenorphine). Associations between enrollee characteristics and testing varied across states. CONCLUSIONS: Among Medicaid enrollees in 11 US states who initiated medications for opioid use disorder, testing for human immunodeficiency virus, hepatitis B virus, hepatitis C virus, and all 3 conditions increased between 2016 and 2019 but the majority were not tested.

Sex-specific clinical outcomes after cardiac resynchronization therapy in left bundle branch block-associated idiopathic nonischemic cardiomyopathy: A NEOLITH II substudy.

BACKGROUND: Sex differences in clinical outcomes for left bundle branch block (LBBB)-associated idiopathic nonischemic cardiomyopathy (NICM) after cardiac resynchronization therapy (CRT) are not well described. METHODS: A retrospective cohort study at an academic medical center included subjects with LBBB-associated idiopathic NICM who received CRT. Cox regression analyses estimated the hazard ratios (HRs) between sex and clinical outcomes. RESULTS: In 123 total subjects (mean age 62 years, mean initial left ventricular ejection fraction 22.8%, 76% New York Heart Association class III, and 98% CRT-defibrillators), 55 (45%) were men and 68 (55%) were women. The median follow-up time after CRT was 72.4 months. Similar risk for adverse clinical events (heart failure hospitalization, appropriate implantable cardioverter-defibrillator shock, appropriate antitachycardia pacing therapy, ventricular assist device implantation, heart transplantation, and death) was observed between men and women (HR, 1.20; 95% confidence interval [CI] 0.57-2.51; p = 0.63). This persisted in multivariable analyses. Men and women had similar risk for all-cause mortality in univariable analysis, but men had higher risk in the final multivariable model that adjusted for age at diagnosis, QRS duration, and left ventricular end-diastolic dimension index (HR, 4.55; 95% CI, 1.26-16.39; p = 0.02). The estimated 5-year mortality was 9.5% for men and 6.9% for women. CONCLUSIONS: In LBBB-associated idiopathic NICM, men have higher risk for all-cause mortality after CRT when compared to women.

Myocardial recovery after cardiac resynchronization therapy in left bundle branch block-associated idiopathic nonischemic cardiomyopathy: A NEOLITH II substudy.

BACKGROUND: Baseline predictors of myocardial recovery after cardiac resynchronization therapy (CRT) in left bundle branch block (LBBB)-associated idiopathic nonischemic cardiomyopathy (NICM) are unknown. METHODS: A retrospective study included subjects with idiopathic NICM, left ventricular ejection fraction (LVEF) ≤35%, and LBBB. Myocardial recovery was defined as post-CRT LVEF ≥50%. Logistic regression analyses described associations between baseline characteristics and myocardial recovery. Cox regression analyses estimated the hazard ratio (HR) between myocardial recovery status and adverse clinical events. RESULTS: In 105 subjects (mean age 61 years, 44% male, mean initial LVEF 22.6% ± 6.6%, 81% New York Heart Association class III, and 98% CRT-defibrillators), myocardial recovery after CRT was observed in 56 (54%) subjects. Hypertension, heart rate, and serum blood urea nitrogen (BUN) had negative associations with myocardial recovery in univariable analyses. These associations persisted in multivariable analysis: hypertension (odds ratio (OR), 0.40; 95% confidence interval (CI), 0.17-0.95; p = 0.04), heart rate (OR per 10 bpm, 0.69; 95% CI, 0.48-0.997; p = 0.048), and serum BUN (OR per 1 mg/dl, 0.94; 95% CI, 0.88-0.99; p = 0.04). Subjects with post-CRT LVEF ≥50%, when compared to <50%, had lower risk for adverse clinical events (heart failure hospitalization, appropriate implantable cardioverter-defibrillator shock, appropriate anti-tachycardia pacing therapy, ventricular assist device implantation, heart transplantation, and death) over a median follow-up of 75.9 months (HR, 0.38; 95% CI, 0.16-0.88; p = 0.02). CONCLUSION: In LBBB-associated idiopathic NICM, myocardial recovery after CRT was associated with absence of hypertension, lower heart rate, and lower serum BUN. Those with myocardial recovery had fewer adverse clinical events.

Cardiac resynchronization therapy pacemakers versus defibrillators in older non-ischemic cardiomyopathy patients.

INTRODUCTION: With the recent publication of the negative DANISH trial, the mortality benefit of the implantable cardioverter-defibrillator (ICD) has been put in question in patients with non-ischemic cardiomyopathy (NICM). Because a majority of patients in DANISH receive cardiac resynchronization therapy (CRT) devices, we investigated in the present study the survival of recipients of CRT pacemakers (CRT-P) versus CRT ICDs (CRT-D) in a cohort of older (≥75 years) NICM patients at our institution. METHODS: A total of 135 NICM patients with CRT device were identified (42 with CRT-P and 93 with CRT-D) and were followed to the endpoint of all-cause mortality. Overall survival was compared between the CRT-P and CRT-D groups with adjustment for differences in baseline characteristics. RESULTS: Over a median follow-up of 46 months from the time of CRT device implantation, there were 54 total deaths (40%): 14 in the CRT-P (33%) and 40 in the CRT-D (43%) groups. Overall, CRT-P recipients had similar unadjusted mortality compared to CRT-D recipients (hazard ratio [HR] 1.04, 95% confidence interval [CI] 0.56-1.93), and this remained unchanged after adjusting for unbalanced covariates (HR 0.95, 95% CI 0.47-1.89) including left ventricular ejection fraction, used of angiotensin converting enzyme inhibitors/angiotensin receptor blockers, and the Charlson comorbidity index. CONCLUSION: Our data support that in older NICM patients with CRT devices, the addition of ICD therapy does not improve survival.

Causes and predictors of 30-day readmission after cardiovascular implantable electronic devices implantation: Insights from Nationwide Readmissions Database.

INTRODUCTION: Readmissions are a burden on health care resources and have negative impact on patients. Cardiovascular implantable electronic devices (CIEDs) are frequently used in the management of rhythm disorders and advanced heart failure. We assessed 30-day readmissions in patients admitted for CIED implantation in a sample of United States patients. METHODS: Data were extracted from Nationwide Readmissions Database for calendar year 2013. Patients admitted for CIED implantation were identified using ICD-9 codes. Patients <18 years of age, with missing data, who died during hospitalization or discharged in December were excluded. Primary endpoint was all-cause 30-day readmission rate. Factors associated with 30-day readmissions were identified and examined using multivariate logistic regression. RESULTS: We identified 320,783 admissions for CIED implantations. After applying exclusion criteria, 290,420 patients were included in final analysis, out of whom 45,467 (15.7%) patients were readmitted within 30 days. Readmitted patients were younger and had more comorbidities. Septicemia (5.1%), pneumonia (3.4%), CHF (2.35%), and paroxysmal ventricular tachycardia (2.3%) were common primary causes of 30-day readmission. Young age, female gender, key comorbidities, weekend admissions, and admission to medium and large size hospital were independent predictors of 30-day readmissions. CONCLUSION: In our study, 15.7% patients were readmitted within 30 days of an index admission for CIED implantation. Most readmissions were due to infectious or cardiovascular causes. There is a need to identify patients at risk for readmission to improve outcomes and curb the cost of care.

Pulmonary vascular resistance determines mortality in end-stage renal disease patients with pulmonary hypertension.

The multifactorial etiology of pulmonary hypertension (PH) in end-stage renal disease (ESRD) includes patients with and without elevated pulmonary vascular resistance (PVR). We explored the prognostic implication of this distinction by evaluating pretransplant ESRD patients who underwent right heart catheterization and echocardiography. Demographics, clinical data, and test results were analyzed. All-cause mortality data were obtained. Median follow-up was 4 years. Of the 150 patients evaluated, echocardiography identified 99 patients (66%) with estimated pulmonary artery (PA) systolic pressure > 36 mm Hg, which correlated poorly with mortality (HR = 1.28, 95% CI 0.72-2.27, P = .387). Right heart catheterization identified 88 (59%) patients with mean PA pressure ≥ 25 mm Hg. Of these, 70 had PVR ≤ 3 Wood units and 18 had PVR > 3 Wood units. Survival analysis demonstrated a significant prognostic effect of an elevated PVR in patients with high mean PA pressures (HR = 2.26, 95% CI 1.07-4.77, P = .03), while patients with high mean PA pressure and normal PVR had equivalent survival to those with normal PA pressure. Despite the high prevalence of PH in ESRD patients, elevated PVR is uncommon and is a determinant of prognosis in patients with PH. Patients with normal PVR had survival equivalent to those with normal PA pressures.

New-onset left bundle branch block-associated idiopathic nonischemic cardiomyopathy and time from diagnosis to cardiac resynchronization therapy: The NEOLITH II study.

BACKGROUND: The optimal timing for cardiac resynchronization therapy (CRT) after diagnosis of new-onset left bundle branch block (LBBB)-associated idiopathic nonischemic cardiomyopathy (NICM) and treatment with guideline-directed medical therapy (GDMT) is unknown. The purpose of this study was to describe relationships between time from diagnosis to CRT and outcomes in new-onset LBBB-associated idiopathic NICM with left ventricular ejection fraction (LVEF) ≤35%. METHODS: A retrospective cohort study examined associations between time from diagnosis to CRT (≤9 months vs >9 months) and clinical and echocardiographic outcomes. RESULTS: In 123 subjects with LBBB-associated idiopathic NICM, time from diagnosis to CRT was ≤9 months in 60 (49%) subjects and 9 months in 63 (51%) subjects. Clinical outcomes were similar for those implanted ≤9 months versus >9 months for adverse clinical events (hazard ratio [HR], 0.85; 95% confidence interval [CI], 0.41-1.78; P = 0.67) and all-cause mortality (HR, 0.57; 95% CI, 0.19-1.70; P = 0.31). Multivariable analyses demonstrated similar results. In 105 subjects with post-CRT echocardiograms, LVEF improvement to >35% was more likely in those implanted ≤9 months when compared to >9 months (odds ratio [OR], 3.53; 95% CI, 1.32-9.46; P = 0.01). This association persisted in the final multivariable model adjusted for age at diagnosis, sex, QRS duration, post-GDMT LVEF, and time from CRT to post-CRT echocardiogram (OR, 5.10; 95% CI, 1.71-15.22; P = 0.004). CONCLUSION: In LBBB-associated idiopathic NICM, earlier CRT implantation was associated with more favorable cardiac remodeling. Delaying CRT may miss a critical period to halt and reverse progressive myocardial damage.

Outcomes of mitral valve surgery during concomitant aortic valve replacement.

BACKGROUND: This study evaluates outcomes of mitral valve surgery (MVS), replacement (MVR), and repair (MVr), during concomitant aortic valve replacement (AVR). METHODS: Patients undergoing MVS with concomitant AVR between 2011 and 2017 at a single center were reviewed. Patients were stratified into MVR versus MVr with concomitant AVR. Outcomes included early and midterm mortality, hospital re-admissions, re-operations, and complications. Multivariable Cox regression analysis was used for risk-adjustment. RESULTS: Four hundred twenty-four patients underwent MVS with concomitant AVR: 247 (58.3%) MVr and 177 (41.7%) MVR. In unadjusted analysis, there was a non-significant increase in 30-day mortality with MVR, with no differences in 1- and 5-year mortality (30-day: 5.6% vs 10.1%, P = 0.081; 1-year: 14% vs 18.2%, P = 0.181; 5-year: 35.1% vs 37.8%, P = 0.232). Freedom from re-admission and mitral reoperation were comparable. Freedom from at least moderate mitral regurgitation at 5 years was 78% in MVr patients. Those undergoing MVR had increased postoperative blood transfusions, acute renal failure, and pleural effusions requiring drainage (P each <0.05). CONCLUSIONS: MVr can be performed during concomitant AVR without an adverse impact on longer-term outcomes, including mortality, re-admissions, and mitral reoperations. The majority of patients have durable repairs at 5 years although durability is less than that reported in isolated MVS.

Trends in atrial fibrillation hospitalizations in the United States: A report using data from the National Hospital Discharge Survey.

AIMS: Atrial fibrillation (AF) is the most common sustained arrhythmia encountered in clinical practice. Patients presenting with AF are often admitted to hospital for rhythm or rate control, symptom management, and/or anticoagulation. We investigated temporal trends in AF hospitalizations in United States from 1996 to 2010. METHODS: Data were obtained from the National Hospital Discharge Survey (NHDS), a national probability sample survey of discharges conducted annually by National Center for Health Statistics. Because of the survey design, sampling weights were applied to the raw NHDS data to produce national estimates. Hospitalizations with a primary diagnosis of AF were identified using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code of 427.31. Weighted least squares regression was used to test for linear trends in the number of AF admissions, length of stay, and inpatient mortality. We further stratified AF admissions based on patients' age, gender, and race. RESULTS: Admissions for a primary diagnosis of AF increased from approximately 286,000 in 1996 to about 410,000 in 2010 with a significant linear trend (ß = 9470 additional admissions per year, p < 0.001). The trend of increased AF admissions was uniform across patient sub-groups. Overall, mean length of stay for AF admissions was 3.75 days, and this remained relatively stable over time (ß = 0.002 days, p = 0.884). Inpatient mortality was 0.96% and also remained stable over time (ß = 0.031%, p = 0.181). CONCLUSION: Our data demonstrate an increase in the number of AF admissions but constant length of stay and mortality over time.

Cardiac amyloidosis is prevalent in older patients with aortic stenosis and carries worse prognosis.

BACKGROUND: Non-invasive cardiac imaging allows detection of cardiac amyloidosis (CA) in patients with aortic stenosis (AS). Our objective was to estimate the prevalence of clinically suspected CA in patients with moderate and severe AS referred for cardiovascular magnetic resonance (CMR) in age and gender categories, and assess associations between AS-CA and all-cause mortality. METHODS: We retrospectively identified consecutive AS patients defined by echocardiography referred for further CMR assessment of valvular, myocardial, and aortic disease. CMR identified CA based on typical late-gadolinium enhancement (LGE) patterns, and ancillary clinical evaluation identified suspected CA. Survival analysis with the Log rank test and Cox regression compared associations between CA and mortality. RESULTS: There were 113 patients (median age 74 years, Q1-Q3: 62-82 years), 96 (85%) with severe AS. Suspected CA was present in 9 patients (8%) all > 80 years. Among those over the median age of 74 years, the prevalence of CA was 9/57 (16%), and excluding women, the prevalence was 8/25 (32%). Low-flow, low-gradient physiology was very common in CA (7/9 patients or 78%). Over a median follow-up of 18 months, 40 deaths (35%) occurred. Mortality in AS + CA patients was higher than AS alone (56% vs. 20% at 1-year, log rank 15.0, P < 0.0001). Adjusting for aortic valve replacement modeled as a time-dependent covariate, Society of Thoracic Surgery predicted risk of mortality, left ventricular ejection fraction, CA remained associated with all-cause mortality (HR = 2.92, 95% CI = 1.09-7.86, P = 0.03). CONCLUSIONS: Suspected CA appears prevalent among older male patients with AS, especially with low flow, low gradient AS, and associates with all-cause mortality. The importance of screening for CA in older AS patients and optimal treatment strategies in those with CA warrant further investigation, especially in the era of transcatheter aortic valve implantation.

Renal Protection Using Remote Ischemic Peri-Conditioning During Inter-Facility Helicopter Transport of Patients With ST-Segment Elevation Myocardial Infarction: A Retrospective Study.

OBJECTIVE: To assess the impact of remote ischemic peri-conditioning (RIPC) during inter-facility air medical transport of ST-segment elevation myocardial infarction (STEMI) patients on the incidence of acute kidney injury (AKI) following primary percutaneous coronary intervention (pPCI). BACKGROUND: STEMI patients who receive pPCI have an increased risk of AKI for which there is no well-defined prophylactic therapy in the setting of emergent pPCI. METHODS: Using the ACTION Registry-GWTG, we evaluated the impact of RIPC applied during inter-facility helicopter transport of STEMI patients from non-PCI capable hospitals to 2 PCI-hospitals in the United States between March, 2013 and September, 2015 on the incidence of AKI following pPCI. AKI was defined as ≥0.3 mg/dL increase in creatinine within 48-72 hours after pPCI. RESULTS: Patients who received RIPC (n = 127), compared to those who did not (n = 92), were less likely to have AKI (11 of 127 patients [8.7%] vs. 17 of 92 patients [18.5%]; adjusted odds ratio = 0.32, 95% CI 0.12-0.85, P = 0.023) and all-cause in-hospital mortality (2 of 127 patients [1.6%] vs. 7 of 92 patients [7.6%]; adjusted odds ratio = 0.14, 95% CI 0.02-0.86, P = 0.034) after adjusting for socio-demographic and clinical characteristics. There was no difference in hospital length of stay (3 days [interquartile range, 2-4] vs. 3 days [interquartile range, 2-5], P = 0.357) between the 2 groups. CONCLUSION: RIPC applied during inter-facility helicopter transport of STEMI patients for pPCI is associated with lower incidence of AKI and in-hospital mortality. The use of RIPC for renal protection in STEMI patients warrants further in depth investigation.

Barriers to Buprenorphine Dispensing by Medicaid-Participating Community Retail Pharmacies.

Importance: Controlled substances have regulatory requirements under the US Federal Controlled Substance Act that must be met before pharmacies can stock and dispense them. However, emerging evidence suggests there are pharmacy-level barriers in access to buprenorphine for treatment for opioid use disorder even among pharmacies that dispense other opioids. Objective: To estimate the proportion of Medicaid-participating community retail pharmacies that dispense buprenorphine, out of Medicaid-participating community retail pharmacies that dispense other opioids and assess if the proportion dispensing buprenorphine varies by Medicaid patient volume or rural-urban location. Design, Setting, and Participants: This serial cross-sectional study included Medicaid pharmacy claims (2016-2019) data from 6 states (Kentucky, Maine, North Carolina, Pennsylvania, Virginia, West Virginia) participating in the Medicaid Outcomes Distributed Research Network (MODRN). Community retail pharmacies serving Medicaid-enrolled patients were included, mail-order pharmacies were excluded. Analyses were conducted from September 2022 to August 2023. Main Outcomes and Measures: The proportion of pharmacies dispensing buprenorphine approved for opioid use disorder among pharmacies dispensing an opioid analgesic or buprenorphine prescription to at least 1 Medicaid enrollee in each state. Pharmacies were categorized by median Medicaid patient volume (by state and year) and rurality (urban vs rural location according to zip code). Results: In 2016, 72.0% (95% CI, 70.9%-73.0%) of the 7038 pharmacies that dispensed opioids also dispensed buprenorphine to Medicaid enrollees, increasing to 80.4% (95% CI, 79.5%-81.3%) of 7437 pharmacies in 2019. States varied in the percent of pharmacies dispensing buprenorphine in Medicaid (range, 73.8%-96.4%), with significant differences between several states found in 2019 (χ2 P < .05), when states were most similar in the percent of pharmacies dispensing buprenorphine. A lower percent of pharmacies with Medicaid patient volume below the median dispensed buprenorphine (69.1% vs 91.7% in 2019), compared with pharmacies with above-median patient volume (χ2 P < .001). Conclusions and Relevance: In this serial cross-sectional study of Medicaid-participating pharmacies, buprenorphine was not accessible in up to 20% of community retail pharmacies, presenting pharmacy-level barriers to patients with Medicaid seeking buprenorphine treatment. That some pharmacies dispensed opioid analgesics but not buprenorphine suggests that factors other than compliance with the Controlled Substance Act influence pharmacy dispensing decisions.

Urine drug testing among Medicaid enrollees initiating buprenorphine treatment for opioid use disorder within 9 MODRN states.

BACKGROUND: Treatment guidelines recommend regular urine drug testing (UDT) for persons initiating buprenorphine for opioid use disorder (OUD). However, little is known about UDT utilization. We describe state variation in UDT utilization and examine demographic, health, and health care utilization factors associated with UDT in Medicaid. METHODS: We used Medicaid claims and enrollment data from persons initiating buprenorphine treatment for OUD during 2016-2019 in 9 states (DE, KY, MD, ME, MI, NC, PA, WI, WV). The main outcome was at least 1 UDT within 180 days of buprenorphine initiation, the secondary outcome was at least 3. Logistic regression models included demographics, pre-initiation comorbidities, and health service use. State estimates were pooled using meta-analysis. RESULTS: The study cohort included 162,437 Medicaid enrollees initiating buprenorphine. The percent receiving ≥1 UDT varied from 62.1% to 89.8% by state. In the pooled analysis, enrollees with pre-initiation UDT had much higher odds of ≥1 UDT after initiation (aOR=3.83, 3.09-4.73); odds were also higher for enrollees with HIV, HCV, and/or HBV infection (aOR=1.25, 1.05-1.48) or who initiated in later years (2018 v 2016: aOR=1.39, 1.03-1.89; 2019 v 2016: aOR=1.67, 1.24-2.25). The odds of having ≥3 UDT were lower with pre-initiation opioid overdose (aOR=0.79, 0.64-0.96) and higher with pre-initiation UDT (aOR=2.63, 2.13-3.25) or OUD care (aOR=1.35, 1.04-1.74). The direction of associations with demographics varied by state. CONCLUSIONS: Rates of UDT increased over time and there was variability among states in UDT rates and demographic predictors of UDT. Pre-initiation conditions, UDT, and OUD care were associated with UDT.

Use of residential opioid use disorder treatment among Medicaid enrollees in nine states.

INTRODUCTION: Residential treatment is a key component of the opioid use disorder care continuum, but research has not measured well the differences in its use across states at the enrollee level. METHODS: This cross-sectional observational study used Medicaid claims data from nine states to document the prevalence of residential treatment for opioid use disorder and to describe the characteristics of patients receiving care. For each patient characteristic, chi-square and t-tests tested for differences in the distribution between individuals who did and did not receive residential care. RESULTS: Among 491,071 Medicaid enrollees with opioid use disorder, 7.5 % were treated in residential facilities in 2019, though this number ranged widely (0.3-14.6 %) across states. Residential patients were more likely to be younger, non-Hispanic White, male, and living in an urban area. Although residential patients were less likely than those without residential care to be eligible for Medicaid through disability, diagnoses for comorbid conditions were more frequently observed among residential patients. CONCLUSIONS: Results from this large, multi-state study add context to the ongoing national conversation around opioid use disorder treatment and policy, providing a baseline for future work.

Provider and Patient-panel Characteristics Associated With Initial Adoption and Sustained Prescribing of Medication for Opioid Use Disorder.

OBJECTIVES: Limited information is available regarding provider- and patient panel-level factors associated with primary care provider (PCP) adoption/prescribing of medication for opioid use disorder (MOUD). METHODS: We assessed a retrospective cohort from 2015 to 2018 within the Pennsylvania Medicaid Program. Participants included PCPs who were Medicaid providers, with no history of MOUD provision, and who treated ≥10 Medicaid enrollees annually. We assessed initial MOUD adoption, defined as an index buprenorphine/buprenorphine-naloxone or oral/extended release naltrexone fill and sustained prescribing, defined as ≥1 MOUD prescription(s) for 3 consecutive quarters from the PCP. Independent variables included provider- and patient panel-level characteristics. RESULTS: We identified 113 rural and 782 urban PCPs who engaged in initial adoption and 36 rural and 288 urban PCPs who engaged in sustained prescribing. Rural/urban PCPs who issued increasingly larger numbers of antidepressant and antipsychotic medication prescriptions had greater odds of initial adoption and sustained prescribing (P < 0.05) compared to those that did not prescribe these medications. Further, each additional patient out of 100 with opioid use disorder diagnosed before MOUD adoption increased the adjusted odds for initial adoption 2% to 4% (95% confidence interval [CI] = 1.01-1.08) and sustained prescribing by 4% to 7% (95% CI = 1.01-1.08). New Medicaid providers in rural areas were 2.52 (95% CI = 1.04-6.11) and in urban areas were 2.66 (95% CI = 1.94, 3.64) more likely to engage in initial MOUD adoption compared to established PCPs. CONCLUSIONS: MOUD prescribing adoption was concentrated among PCPs prescribing mental health medications, caring for those with OUD, and new Medicaid providers. These results should be leveraged to test/implement interventions targeting MOUD adoption among PCPs.

Sex differences in atrial fibrillation: patient-reported outcomes and the persistent toll on women.

BACKGROUND: Women have worse patient-reported outcomes in atrial fibrillation (AF) than men, but the reasons remain poorly understood. We investigated how comorbid conditions, treatment, social factors, and their modification by sex would attenuate sex-specific differences in patient-reported outcomes in AF. METHODS: In a cohort with prevalent AF we measured patient-reported outcomes with the Short-Form-12 (SF-12, an 8-domain quality of life measure), and the AF Effect on QualiTy of Life (AFEQT), an instrument specific to AF, both with range 0-100 and higher scores indicating superior outcomes. We examined sex-specific differences in patient-reported outcomes in multivariable-adjusted regression analyses incorporating demographics, comorbid conditions, treatment, social factors, and their sex-based modification. RESULTS: In 339 individuals (age 72±10, 45% women), women (vs. men) reported worse physical functioning on the SF-12 (49.7±39.0 versus 65.0±34.0), social functioning (69.8±31.8 versus 79.7±25.8), and mental health (67.4±20.2 versus 75.0±18.6). These differences were attenuated with adjustment for comorbid conditions and depression. Women had worse composite AFEQT scores (73.8±18.4 versus 78.5±16.6) and symptoms and treatment scores than men with differences remaining significant after multivariable adjustment. There were not significant interactions by sex and the array of covariates when examining differences in patient-reported outcomes between women and men. CONCLUSIONS: We identified sex-specific differences in patient-reported outcomes assessed with general and AF-specific measures. Compared to men, women with AF reported worse overall health-related quality of life, even after consideration of both relevant covariates and their modification by sex. Our research indicates the importance of consideration of sex-based inequities when evaluating patient-reported outcomes in AF.

Long term mortality and readmissions after transcatheter aortic valve replacement.

BACKGROUND: Readmissions following transcatheter aortic valve replacement (TAVR) are common but detailed analysis of cardiac and non-cardiac inpatient readmissions beyond thirty days to different levels of care are limited. METHODS: Our study population was 1,037 consecutive patients who underwent TAVR between 2011-2017 within a multi-hospital quaternary health system. A retrospective chart review was performed and readmissions were adjudicated and classified based on primary readmission diagnosis (cardiac versus noncardiac) and level of care [intensive care unit (ICU) admission vs. non-ICU admission]. Incidence, causes, and outcomes of readmissions to up to three years post procedure were evaluated. RESULTS: Of the 1,017 patients who survived their index hospitalization, there were readmissions due to noncardiac causes in 350 (34.4%) and cardiac causes in 208 (20.5%) during a mean 1.96 years of follow-up. The most common non-cardiac causes of readmission were sepsis/infection (14.3%), gastrointestinal (8.3%), and respiratory (4.8%), whereas heart failure (14.0%) and arrhythmias (4.6%) were the most common cardiac causes of readmission. A total of 191 (18.8%) patients were readmitted to the ICU and 372 patients (36.6%) were non-ICU readmissions. The risk of a noncardiac readmission was highest in the period immediately following TAVR (~4.5% per month) with an early high hazard phase that gradually declined over months. However, the risk of cardiac readmission remained stable at ~1% per month throughout. TAVR patients that were readmitted for any cause had markedly increased mortality; this was especially true for patients readmitted to an ICU. CONCLUSIONS: In TAVR patients who survived their index hospitalization, non-cardiac readmissions were more prevalent than cardiac. The risk of readmission and subsequent mortality was highest immediately post-procedure and declined thereafter. Readmission to ICU portends the highest risk of subsequent death in this cohort. Patient baseline co-morbidities are an important consideration for TAVR patients and play a significant role in readmissions and outcomes.

Patterns of clinic switching and continuity of medication for opioid use disorder in a Medicaid-enrolled population.

BACKGROUND: Many persons with opioid use disorder (OUD) initiate medication for opioid use disorder (MOUD) with one clinic and switch to another clinic during their course of treatment. These switches may occur for referrals or for unplanned reasons. It is unknown, however, what effect switching MOUD clinics has on continuity of MOUD treatment or on overdoses. OBJECTIVE: To examine patterns of switching MOUD clinics and its association with the proportion of days covered (PDC) by MOUD, and opioid-related overdose. DESIGN: Cross-sectional retrospective analysis of Pennsylvania Medicaid claims data. MAIN MEASURES: MOUD clinic switches (i.e., filling a MOUD prescription from a prescriber located in a different clinic than the previous prescriber), PDC, and opioid-related overdose. RESULTS: Among 14,107 enrollees, 43.2 % switched clinics for MOUD at least once during the 270 day period. In multivariate regression results, enrollees who were Non-Hispanic black (IRR = 1.43; 95 % CI = 1.24-1.65; p < 0.001), had previous methadone use (IRR = 1.32; 95 % CI = 1.13-1.55; p < 0.001), and a higher total number of office visits (IRR = 1.01; CI = 1.01-1.01; p < 0.001) had more switches. The number of clinic switches was positively associated with PDC (OR = 1.12; 95 % CI = 1.10-1.13). In secondary analyses, we found that switches for only one MOUD fill were associated with lower PDC (OR = 0.97; 95 % CI = 0.95-0.99), while switches for more than one MOUD fill were associated with higher PDC (OR = 1.40; 95 % CI = 1.36-1.44). We did not observe a relationship between opioid-related overdose and clinic switches. CONCLUSIONS: Lack of prescriber continuity for receiving MOUD may not be problematic as it is for other conditions, insofar as it is related to overdose and PDC.

Outcomes of catheter-directed thrombolysis vs. standard medical therapy in patients with acute submassive pulmonary embolism.

BACKGROUND: Catheter-directed thrombolysis (CDL) is increasingly being used for the treatment of submassive and massive pulmonary embolism. Although this therapy has been shown to be effective at reducing right ventricle strain, the impact on clinical outcomes remains unclear. We therefore aimed to evaluate the outcomes of CDL compared to standard anticoagulation for submassive pulmonary embolism patients in a large cohort. METHODS: We conducted a retrospective observational study of consecutive patients with a primary diagnosis of submassive pulmonary embolism admitted to an intensive care unit within our health system between June 2014 and April 2016. We compared the outcome of patients treated with systemic anticoagulation (medical therapy) vs. catheter-based delivery of tissue plasminogen activator (tPA) (CDL). CDL patients were matched with medical therapy controls using a propensity-score matching algorithm based on the components of the simplified pulmonary embolism severity index (sPESI) score. RESULTS: Unadjusted mortality rates were 3.0% for CDL vs. 10.4% for medical therapy at 30 days and 8.1% for CDL vs. 22.9% for medical therapy at 1 year. In the propensity-score matched cohort, mortality rates were 3.1% for CDL vs. 6.1% for medical therapy at 30 days and 8.2% for CDL vs. 18.2% for medical therapy at 1 year. Length of stay was significantly shorter in the CDL group. The index admission bleeding and transfusion rates were not increased in the CDL group. CONCLUSIONS: In patients presenting with acute submassive pulmonary embolism who are admitted to an intensive care unit, the group treated with CDL experienced reduced mortality at 30 days and 1 year when compared to medical therapy without increase in bleeding. Further randomized studies are required to confirm these findings.