Racial Disparities in Low-Value Care in the Last Year of Life for Medicare Beneficiaries With Neurodegenerative Disease.

Background and Objectives: There are racial disparities in health care services received by patients with neurodegenerative diseases, but little is known about disparities in the last year of life, specifically in high-value and low-value care utilization. This study evaluated racial disparities in the utilization of high-value and low-value care in the last year of life among Medicare beneficiaries with dementia or Parkinson disease. Methods: This was a retrospective, population-based cohort analysis using data from North and South Carolina fee-for-service Medicare claims between 2013 and 2017. We created a decedent cohort of beneficiaries aged 50 years or older at diagnosis with dementia or Parkinson disease. Specific low-value utilization outcomes were selected from the Choosing Wisely initiative, including cancer screening, peripheral artery stenting, and feeding tube placement in the last year of life. Low-value outcomes included hospitalization, emergency department visits, neuroimaging services, and number of days receiving skilled nursing. High-value outcomes included receipt of occupational and physical therapy, hospice care, and medications indicated for dementia and/or Parkinson disease. Results: Among 70,650 decedents, 13,753 were Black, 55,765 were White, 93.1% had dementia, and 7.7% had Parkinson disease. Adjusting for age, sex, Medicaid dual enrollment status, rural vs urban location, state (NC and SC), and comorbidities, Black decedents were more likely to receive low-value care including colorectal cancer screening (adjusted hazard ratio [aHR] 1.46 [1.32-1.61]), peripheral artery stenting (aHR 1.72 [1.43-2.08]), and feeding tube placement (aHR 2.96 [2.70-3.24]) and less likely to receive physical therapy (aHR 0.73 [0.64-0.85)], dementia medications (aHR 0.90 [0.86-0.95]), or Parkinson disease medications (aHR 0.88 [0.75-1.02]) within the last year of life. Black decedents were more likely to be hospitalized (aHR 1.28 [1.25-1.32]), more likely to be admitted to skilled nursing (aHR 1.09 [1.05-1.13]), and less likely to be admitted to hospice (aHR 0.82 [0.79-0.85]) than White decedents. Discussion: We found racial disparities in care utilization among patients with neurodegenerative disease in the last year of life, such that Black decedents were more likely to receive specific low-value care services and less likely to receive high-value supportive care than White decedents, even after adjusting for health status and socioeconomic factors.

Amplitude Integrated Electroencephalography: Simulated Assessment of Neonatal Seizure Detection in PICU Patients.

OBJECTIVES: Amplitude integrated electroencephalography (aEEG) is a mainstay of care in neonatal ICUs; however, knowledge gaps exist in relation to its accuracy for identifying seizures in older children. We aimed to review the diagnostic accuracy of existing neonatal seizure detection criteria for seizure detection in older children in hospital. DESIGN: Retrospective study. SETTING: PICU/Neurophysiology Department in Dublin. PATIENTS: One hundred twenty patients (2 mo to 16 yr old) were chosen from a database of formal 10-20 system, 21-lead electroencephalography recordings (2012-2020), comprising 30 studies with seizures, 90 without. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Electroencephalography studies containing electrographic seizures (ESzs) were annotated to describe number, duration, distribution, and spread. Two-channel aEEG (using leads C3-P3, C4-P4) recordings were generated and independently reviewed by a professional specialist in clinical neurophysiology blinded to outcome and without reference to the raw electroencephalography trace. Logistic regression was used to identify factors associated with correct seizure identification on aEEG. Median patient age was 6.1 years. Abnormal recordings featured 123 seizures. Status epilepticus (SE) was evident by electroencephalography in 10 cases. Using neonatal criteria, aEEG had a sensitivity of 70% and negative predictive value of 90% for identifying any ESz. Accurate detection of individual seizures was diminished when seizures were very short or occurred during waking. Sensitivity for individual seizures was 81% when seizures less than 1 minute were excluded. aEEG correctly identified SE in 70% of the 10 cases, although ESz were confirmed to be present in 80% of this subpopulation. CONCLUSIONS: aEEG criteria for neonatal seizure identification can be applied with caution to older children and should be supplemented by formal electroencephalography. Seizure identification is better for longer seizures and those arising from sleep. SE is not always recognized by aEEG among older children.

Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial.

BACKGROUND: Despite great promise, trials that ascertain patient clinical data from electronic health records (EHR), referred to here as "EHR-sourced" trials, are limited by uncertainty about how existing trial sites and infrastructure can be best used to operationalize study goals. Evidence is needed to support the practical use of EHRs in contemporary clinical trial settings. MAIN TEXT: We describe a demonstration project that used EHR data to complement data collected for a contemporary multi-center pharmaceutical industry outcomes trial, and how a central coordinating center supported participating sites through the technical, governance, and operational aspects of this type of activity. We discuss operational considerations related to site selection, data extraction, site performance, and data transfer and quality review, and we outline challenges and lessons learned. We surveyed potential sites and used their responses to assess feasibility, determine the potential capabilities of sites and choose an appropriate data extraction strategy. We designed a flexible, multimodal approach for data extraction, enabling each site to either leverage an existing data source, create a new research datamart, or send all data to the central coordinating center to produce the requisite data elements. We evaluated site performance, as reflected by the speed of contracting and IRB approval, total patients enrolled, enrollment yield, data quality, and compared performance by data collection strategy. CONCLUSION: While broadening the type of sites able to participate in EHR-sourced trials may lead to greater generalizability and improved enrollment, sites with fewer technical resources may require additional support to participate. Central coordinating center support is essential to facilitate the execution of operational processes. Future work should focus on sharing lessons learned and creating reusable tools to facilitate participation of heterogeneous trial sites.

Dementia and Parkinson's disease diagnoses in electronic health records vs. Medicare claims data: a study of 101,980 linked patients.

BACKGROUND: Medicare claims and electronic health record data are both commonly used for research and clinical practice improvement; however, it is not known how concordant diagnoses of neurodegenerative diseases (NDD, comprising dementia and Parkinson's disease) are in these data types. Therefore, our objective was to determine the sensitivity and specificity of neurodegenerative disease (NDD) diagnoses contained in structured electronic health record (EHR) data compared to Medicare claims data. METHODS: This was a retrospective cohort study of 101,980 unique patients seen at a large North Carolina health system between 2013-2017, which were linked to 100% North and South Carolina Medicare claims data, to evaluate the accuracy of diagnoses of neurodegenerative diseases in EHRs compared to Medicare claims data. Patients age > 50 who were enrolled in fee-for-service Medicare were included in the study. Patients were classified as having or not having NDD based on the presence of validated ICD-CM-9 or ICD-CM-10 codes associated with NDD or claims for prescription drugs used to treat NDD. EHR diagnoses were compared to Medicare claims diagnoses. RESULTS: The specificity of any EHR diagnosis of NDD was 99.0%; sensitivity was 61.3%. Positive predictive value and negative predictive value were 90.8% and 94.1% respectively. Specificity of an EHR diagnosis of dementia was 99.0%, and sensitivity was 56.1%. Specificity of an EHR diagnosis of PD was 99.7%, while sensitivity was 76.1%. CONCLUSIONS: More research is needed to investigate under-documentation of NDD in electronic health records relative to Medicare claims data, which has major implications for clinical practice (particularly patient safety) and research using real-world data.

Comparative Outcomes of Sacubitril/Valsartan Use After Hospitalization for Heart Failure Among Medicare Beneficiaries Naïve to Renin-Angiotensin System Inhibitors.

Sacubitril/valsartan improves outcomes in patients with heart failure with reduced ejection fraction (HFrEF) compared with angiotensin-converting enzyme inhibitors (ACEis). However, data on postdischarge outcomes in renin-angiotensin system inhibitor (RASi)-naïve patients are limited. We included Medicare beneficiaries aged ≥65 years who were hospitalized for HFrEF in the Get With The Guidelines-Heart Failure registry between October 2015 and June 2019, had part D prescription coverage, and were not on RASi therapy during the 6 months before hospital admission. We examined the associations between sacubitril/valsartan prescription at hospital discharge and outcomes at 30 days and 1 year after discharge using overlap-weighted median regression and Cox proportional hazards models. The end points included "home time" (defined as days alive and out of any health care institution), mortality, and rehospitalization. Among 3,572 patients with HFrEF and who are naïve to RASi therapy, at discharge, 290 (8.1%) were prescribed sacubitril/valsartan and 1,390 (38.9%) were prescribed ACEis and angiotensin receptor blockers. After adjusting for baseline characteristics, patients prescribed sacubitril/valsartan had a longer median home time (parameter estimate 27.0 days, 95% confidence interval [CI] 12.40 to 41.6, p <0.001) and lower all-cause mortality (hazard ratio [HR] 0.74, 95% CI 0.61 to 0.91, p = 0.004) at 1 year than patients not prescribed sacubitril/valsartan. The prescription of sacubitril/valsartan was not significantly associated with all-cause rehospitalization (HR 0.87, 95% CI 0.74 to 1.03, p = 0.10) or heart failure rehospitalization (HR 0.87, 95% CI 0.70 to 1.07, p = 0.19). In a restricted comparison of patients discharged on sacubitril/valsartan versus ACEis and angiotensin receptor blockers, there were no significant differences in the outcomes. In conclusion, in this contemporary population of RASi-naïve patients with HFrEF from routine clinical practice, compared with not initiating, the initiation of sacubitril/valsartan at discharge was associated with longer home time and improvements in overall survival.

Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory.

Embedded pragmatic clinical trials (ePCTs) play a vital role in addressing current population health problems, and their use of electronic health record (EHR) systems promises efficiencies that will increase the speed and volume of relevant and generalizable research. However, as the number of ePCTs using EHR-derived data grows, so does the risk that research will become more vulnerable to biases due to differences in data capture and access to care for different subsets of the population, thereby propagating inequities in health and the healthcare system. We identify 3 challenges-incomplete and variable capture of data on social determinants of health, lack of representation of vulnerable populations that do not access or receive treatment, and data loss due to variable use of technology-that exacerbate bias when working with EHR data and offer recommendations and examples of ways to actively mitigate bias.

Equity and bias in electronic health records data.

Embedded pragmatic clinical trials (ePCTs) are conducted during routine clinical care and have the potential to increase knowledge about the effectiveness of interventions under real world conditions. However, many pragmatic trials rely on data from the electronic health record (EHR) data, which are subject to bias from incomplete data, poor data quality, lack of representation from people who are medically underserved, and implicit bias in EHR design. This commentary examines how the use of EHR data might exacerbate bias and potentially increase health inequities. We offer recommendations for how to increase generalizability of ePCT results and begin to mitigate bias to promote health equity.

Continuity of care (COC) and amyloid-ß PET scan: the CARE-IDEAS study.

BACKGROUND: High continuity of care (COC) is associated with better clinical outcomes among older adults. The impact of amyloid-ß PET scan on COC among adults with mild cognitive impairment (MCI) or dementia of uncertain etiology is unknown. METHODS: We linked data from the CARE-IDEAS study, which assessed the impact of amyloid-ß PET scans on outcomes in Medicare beneficiaries with MCI or dementia of uncertain etiology and their care partners, to Medicare claims (2015-2018). We calculated a participant-level COC index using the Bice-Boxerman formula and claims from all ambulatory evaluation and management visits during the year prior to and following the amyloid-ß PET scan. We compared baseline characteristics by scan result (elevated or non-elevated) using standardized differences. To evaluate changes in COC, we used multiple regression models adjusting for sociodemographics, cognitive function, general health status, and the Charlson Comorbidity Index. RESULTS: Among the 1171 cohort members included in our analytic population, the mean age (SD) was 75.2 (5.4) years, 61.5% were male and 93.9% were non-Hispanic white. Over two-thirds (68.1%) had an elevated amyloid-ß PET scan. Mean COC for all patients was 0.154 (SD = 0.102; range = 0-0.73) prior to the scan and 0.158 (SD = 0.105; range = 0-1.0) in the year following the scan. Following the scan, the mean COC index score increased (95% CI) by 0.005 (-0.008, 0.019) points more for elevated relative to not elevated scan recipients, but this change was not statistically significant. There was no association between scan result (elevated vs. not elevated) or any other patient covariates and changes in COC score after the scan. CONCLUSION: COC did not meaningfully change following receipt of amyloid-ß PET scan in a population of Medicare beneficiaries with MCI or dementia of uncertain etiology. Future work examining how care continuity varies across marginalized populations with cognitive impairment is needed.

Racial/ethnic disparities in dementia incidence, outcomes, and health-care utilization.

INTRODUCTION: Racial/ethnic disparities exist in many aspects of health care, but data on racial/ethnic disparities for neurodegenerative diseases (NDDs), such as dementia and Parkinson's disease (PD), are limited. METHODS: We used North and South Carolina Medicare claims from 2013 to 2017 to evaluate disparities in incidence of NDDs and in health-care utilization and outcomes for patients with NDDs. RESULTS: Disparities in incidence of NDD between Black and White beneficiaries narrowed by 0.37 per 100 person-years from 2014 to 2017. After thorough covariate adjustment, Black beneficiaries had a 4% higher risk of all-cause hospitalization, spent 8% more days in skilled nursing facilities and 14% fewer days in hospice facilities, were 38% less likely to receive physical/occupational therapy services, were 8% less likely to receive dementia medications, and were 19% less likely to receive PD medications than White beneficiaries. DISCUSSION: Effective system-level approaches to promote health equity in NDD diagnosis, treatment, and outcomes are clearly needed. HIGHLIGHTS: Racial disparities in neurodegenerative disease incidence narrowed between 2014 and 2017. Black patients were less likely than White patients to receive hospice services. Black patients were less likely than White patients to receive physical therapy. Black patients were less likely than White patients to receive Alzheimer's disease or Parkinson's disease medications. There is a shortage of neurologists in counties with high dementia incidence.

The U.S. COVID-19 County Policy Database: a novel resource to support pandemic-related research.

BACKGROUND: It is increasingly recognized that policies have played a role in both alleviating and exacerbating the health and economic consequences of the COVID-19 pandemic. There has been limited systematic evaluation of variation in U.S. local COVID-19-related policies. This study introduces the U.S. COVID-19 County Policy (UCCP) Database, whose objective is to systematically gather, characterize, and assess variation in U.S. county-level COVID-19-related policies. METHODS: In January-March 2021, we collected an initial wave of cross-sectional data from government and media websites for 171 counties in 7 states on 22 county-level COVID-19-related policies within 3 policy domains that are likely to affect health: (1) containment/closure, (2) economic support, and (3) public health. We characterized the presence and comprehensiveness of policies using univariate analyses. We also examined the correlation of policies with one another using bivariate Spearman's correlations. Finally, we examined geographical variation in policies across and within states. RESULTS: There was substantial variation in the presence and comprehensiveness of county policies during January-March 2021. For containment and closure policies, the percent of counties with no restrictions ranged from 0% (for public events) to more than half for public transportation (67.8%), hair salons (52.6%), and religious gatherings (52.0%). For economic policies, 76.6% of counties had housing support, while 64.9% had utility relief. For public health policies, most were comprehensive, with 70.8% of counties having coordinated public information campaigns, and 66.7% requiring masks outside the home at all times. Correlations between containment and closure policies tended to be positive and moderate (i.e., coefficients 0.4-0.59). There was variation within and across states in the number and comprehensiveness of policies. CONCLUSIONS: This study introduces the UCCP Database, presenting granular data on local governments' responses to the COVID-19 pandemic. We documented substantial variation within and across states on a wide range of policies at a single point in time. By making these data publicly available, this study supports future research that can leverage this database to examine how policies contributed to and continue to influence pandemic-related health and socioeconomic outcomes and disparities. The UCCP database is available online and will include additional time points for 2020-2021 and additional counties nationwide.

Amyloid-ß PET Scan Results Disclosure and Care-Partner Emotional Well-Being Over Time.

BACKGROUND: Diagnostic tests, such as amyloid-ß positron emission tomography (PET) scans, can increase appropriate therapeutic management for the underlying causes of cognitive decline. To evaluate the full utility of this diagnostic tool, information is needed on whether results from amyloid-ß PET scans influence care-partner outcomes. OBJECTIVE: This study examines the extent to which previous disclosure of elevated amyloid (suggestive of Alzheimer's disease (AD) etiology) versus not-elevated amyloid (not suggestive of AD etiology) is associated with changes in care-partner wellbeing. METHODS: The study used data derived from a national longitudinal survey of Medicare beneficiaries (n = 921) with mild cognitive impairment (MCI) or dementia and their care-partners. Care-partner wellbeing outcomes included depressive symptoms (PHQ-8), subjective burden (4-item Zarit burden score), and a 3-item measure of loneliness. Change was measured between 4 (Time 1) and 18 (Time 2) months after receiving the scan results. Adjusted linear regression models regressed change (Time 2-Time 1) in each outcome on scan result. RESULTS: Care-partners were primarily white, non-Hispanic, college-educated, and married to the care recipient. Elevated amyloid was not associated with statistically significant Time 1 differences in outcomes or with statistically significant changes in depressive symptoms 0.22 (-0.18, 0.61), subjective burden 0.36 (-0.01, 0.73), or loneliness 0.15 (-0.01, 0.32) for care-partners from one time point to another. CONCLUSION: Given advances in AD biomarker testing, future research in more diverse samples is needed to understand the influence of scan results on care-partner wellbeing across populations.

Fitness of real-world data for clinical trial data collection: Results and lessons from a HARMONY Outcomes ancillary study.

BACKGROUND: Despite the extensive use of real-world data for retrospective, observational clinical research, our understanding of how real-world data might increase the efficiency of data collection in patient-level randomized clinical trials is largely unknown. The structure of real-world data is inherently heterogeneous, with each source electronic health record and claims database different from the next. Their fitness-for-use as data sources for multisite trials in the United States has not been established. METHODS: For a subset of participants in the HARMONY Outcomes Trial, we obtained electronic health record data from recruiting sites or Medicare claims data from the Centers for Medicare & Medicaid Services. For baseline characteristics and follow-up events, we assessed the level of agreement between these real-world data and data documented in the trial database. RESULTS: Real-world data-derived demographic information tended to agree with trial-reported demographic information, although real-world data were less accurate in identifying medical history. The ability of real-world data to identify baseline medication usage differed by real-world data source, with claims data demonstrating substantially better performance than electronic health record data. The limited number of lab results in the collected electronic health record data matched closely with values in the trial database. There were not enough follow-up events in the ancillary study population to draw meaningful conclusions about the performance of real-world data for identification of events. Based on the conduct of this ancillary study, the challenges and opportunities of using real-world data within clinical trials are discussed. CONCLUSION: Based on a subset of participants from the HARMONY Outcomes Trial, our results suggest that electronic health record or claims data, as currently available, are unlikely to be a complete substitute for trial data collection of medical history or baseline lab results, but that Medicare claims were able to identify most medications. The limited size of the study population prevents us from drawing strong conclusions based on these results, and other studies are clearly needed to confirm or refute these findings.

Racial/Ethnic Disparities in Healthcare Worker Experiences During the COVID-19 Pandemic: An Analysis of the HERO Registry.

Background: The extent to which healthcare worker (HCWs) experiences during the COVID-19 pandemic vary by race or ethnicity after adjustment for confounding factors is not currently known. Methods: We performed an observational prospective cohort study of 24,769 healthcare workers from 50 U.S. states and the District of Columbia, enrolled between April 10, 2020 and June 30, 2021, and evaluated participant experiences during the COVID-19 pandemic, including testing, diagnosis with COVID-19, emotional experiences, burnout, and interest in vaccines and vaccine clinical trials. Findings: After adjustment for professional role, medical history, and community characteristics, Black and Asian participants were less likely to receive SARS-CoV-2 viral testing (adjusted odds ratio (aOR) 0·82 [0·70, 0·96], p=0·012 and aOR 0·77 [0·67, 0·89], p<0·001 respectively) than White participants. Hispanic participants were more likely to have evidence of COVID-19 infection (aOR 1·23 (1·00, 1·50, p=0·048). Black and Asian participants were less likely to report interest in a COVID-19 vaccine (aOR 0·11 [0·05, 0·25], p<0·001 and aOR 0·48 [0·27, 0·85] p=0·012). Black participants were less likely to report interest in participating in a COVID-19 vaccine trial (aOR = 0·39 [0·28, 0·54], p<0·001). Black participants were also less likely to report 3 or more daily emotional impacts of COVID-19 (aOR = 0·66 [0·53, 0·82], p=<0·001). Black participants were additionally less likely to report burnout (aOR = 0·66 ([0·49, 0·95], p=0·025). Interpretation: In a large, national study of healthcare workers, after adjustment for individual and community characteristics, race/ethnicity disparities in COVID-19 outcomes persist. Future work is urgently needed to understand precise mechanisms behind these disparities and to develop and implement targeted interventions to improve health equity for healthcare workers. Funding: This work was funded by the Patient-Centered Outcomes Research Institute (PCORI), Contract # COVID-19-2020-001.

Association between economic and arrhythmic burden of paroxysmal atrial fibrillation in patients with cardiac implanted electronic devices.

BACKGROUND: As the prevalence of atrial fibrillation (AF) increases, a greater understanding of the costs associated with AF care is required. While individuals with greater arrhythmic burden may interact with the health system more frequently, the relationship between AF burden and costs remains undefined. METHODS: In a longitudinal patient cohort with paroxysmal AF and newly implanted cardiovascular implantable electronic devices (CIED) (2010-2016), we linked CIED remote-monitoring data with Medicare claims to assess the association between the 30-day averaged device-detected daily percentage of time in AF ("AF burden") and healthcare costs. RESULTS: Among 39,345 patients, the mean age was 77.1 ± 8.7 years, 60.7% were male, and the mean CHA2DS2-VASc score was 4.9 ± 1.3. The mean total 1-year costs were $18,668 ± 29,173, driven by hospitalization costs where two-thirds of admissions were due to heart failure. Increasing AF burden was associated with increasing costs: $17,860 ± 28,525 for 0% daily AF burden; $18,840 ± 29,104 for 0-5% daily AF burden; and $20,968 ± 31,228 for 5-98% daily AF burden. There was a linear relationship between AF burden expressed as a continuous variable and 1-year costs (adjusted cost rate ratio 1.031 per 10% daily duration in AF, 95% confidence interval 1.023-1.038; P < .001). CONCLUSIONS: Among older patients with paroxysmal AF and CIEDs, increasing AF burden is associated with higher healthcare costs. As the observational study design is unable to determine causal relationships, prospective study is required to explore the intriguing hypothesis that targeted AF strategies, including comorbidity management, that reduce AF burden may also reduce the high annual costs associated with AF.

Making the Informal Formal: Discussing and Completing Advance Care Plans in Care Dyads with Cognitive Impairment.

Background: Discussing advance care planning (ACP) with care partners may be a steppingstone to the completion of advance directives (ADs) for persons with cognitive impairment (PwCIs). Objectives: To examine whether PwCI-reported occurrence of and PwCI-care partner agreement about ACP discussions are associated with completion of ADs. Design and Subjects: We conducted a secondary, cross-sectional analysis of data from 1672 PwCI-care partner dyads in the BLINDED study. PwCIs were Medicare beneficiaries in the US, aged >65 years, and diagnosed with mild cognitive impairment or dementia. Care partners were identified by PwCIs as being most involved in their health care. Measurements: PwCIs' completion of ADs was determined by 1 or more affirmative responses to dichotomous indicators for formalizing a living will, medical directive, or durable power of attorney for health care. Discussion occurrence was based on PwCI reports and agreement between PwCI and care partner reports of prior conversations about PwCIs' ACP preferences between PwCIs and care partners. Results: In logistic regression models adjusted for PwCI and care partner characteristics, PwCIs who had (vs. had not) discussed ACP were 10% more likely to complete ADs. PwCIs from dyads agreeing (vs. disagreeing) a discussion occurred were 7% more likely to complete ADs. PwCIs from care dyads in agreement (vs. disagreement) about non-discussion were 11% less likely to formalize ADs. Conclusions: Discussing ACP with care partners plays a direct, positive role in completing ADs among PwCIs. Health care providers who approach ACP as a dyadic, communicative decision-making process from the outset may facilitate PwCIs' uptake of ADs.

Sacubitril/Valsartan Adherence and Postdischarge Outcomes Among Patients Hospitalized for Heart Failure With Reduced Ejection Fraction.

OBJECTIVES: The authors sought to investigate associations between sacubitril/valsartan adherence and clinical outcomes after hospitalization for heart failure with reduced ejection fraction (HFrEF). BACKGROUND: Sacubitril/valsartan improves outcomes in HFrEF, though the extent to which medication adherence is associated with outcomes in routine care is less well characterized. METHODS: The authors analyzed patients aged ≥65 years hospitalized for HFrEF within the Get With the Guidelines-Heart Failure registry linked with Medicare claims between October 2015 and September 2018 who were discharged with sacubitril/valsartan. Sacubitril/valsartan adherence was assessed using medication fills to calculate proportion of days covered (PDC) through 90 days postdischarge. Associations between postdischarge adherence (PDC < or ≥80%) and risk of readmission and death within 1 year were examined by comparing cumulative incidences and adjusted event rates. RESULTS: Among 897 patients prescribed sacubitril/valsartan at discharge, 295 (32.9%) had PDC ≥80% and 602 (67.1%) had PDC <80%. Baseline characteristics were balanced between groups. Compared with patients with PDC <80%, patients with PDC ≥80% had a significantly lower adjusted hazard of all-cause rehospitalization (HR: 0.66 [95% CI: 0.48-0.89]) and death (HR: 0.42 [95% CI: 0.22-0.79]) at 90 days and at 1 year (HR: 0.69 [95% CI: 0.56-0.86] and HR: 0.53 [95% CI: 0.38-0.74], respectively). For every 5 percentage point increase in PDC, patients experienced a significant reduction in rehospitalization (HR: 0.98 [95% CI: 0.97-0.99]) and death (HR: 0.96 [95% CI: 0.94-0.97]) at 1 year. CONCLUSIONS: In patients hospitalized for HFrEF and discharged on sacubitril/valsartan, high adherence to sacubitril/valsartan within 90 days after discharge was associated with substantially lower rates of readmission and death. Additional efforts to improve adherence with sacubitril/valsartan and other guideline-directed medical therapies in HFrEF are warranted.

Clinical Effectiveness of Sacubitril/Valsartan Among Patients Hospitalized for Heart Failure With Reduced Ejection Fraction.

Background Sacubitril/Valsartan has been highly efficacious in randomized trials of heart failure with reduced ejection fraction (HFrEF). However, the effectiveness of sacubitril/valsartan in older patients hospitalized for HFrEF in real-world US practice is unclear. Methods and Results This study included Medicare beneficiaries age ≥65 years who were hospitalized for HFrEF ≤40% in the Get With The Guidelines-Heart Failure registry between October 2015 and December 2018, and eligible for sacubitril/valsartan. Associations between discharge prescription of sacubitril/valsartan and clinical outcomes were assessed after inverse probability of treatment weighting and adjustment for other HFrEF medications. Overall, 1551 (10.9%) patients were discharged on sacubitril/valsartan. Of those not prescribed sacubitril/valsartan, 7857 (62.0%) were prescribed an angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker. Over 12-month follow-up, compared with a discharge prescription of angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker, sacubitril/valsartan was independently associated with lower all-cause mortality (adjusted hazard ratio [HR], 0.82; 95% CI, 0.72-0.94; P=0.004) but not all-cause hospitalization (adjusted HR, 0.97; 95% CI, 0.89-1.07; P=0.55) or heart failure hospitalization (adjusted HR, 1.04; 95% CI, 0.91-1.18; P=0.59). Patients prescribed sacubitril/valsartan versus those without a prescription had lower risk of all-cause mortality (adjusted HR, 0.69; 95% CI, 0.60-0.79; P<0.001), all-cause hospitalization (adjusted HR, 0.90; 95% CI, 0.82-0.98; P=0.02), but not heart failure hospitalization (adjusted HR, 0.94; 95% CI, 0.82-1.08; P=0.40). Conclusions Among patients hospitalized for HFrEF, prescription of sacubitril/valsartan at discharge was independently associated with reduced postdischarge mortality compared with angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker, and reduced mortality and all-cause hospitalization compared with no sacubitril/valsartan. These findings support the use of sacubitril/valsartan to improve postdischarge outcomes among older patients hospitalized for HFrEF in routine US clinical practice.

Sacubitril/Valsartan Initiation and Postdischarge Adherence Among Patients Hospitalized for Heart Failure.

BACKGROUND: We investigated associations between timing of sacubitril/valsartan initiation and postdischarge adherence among patients hospitalized for heart failure with reduced ejection fraction (HFrEF). Clinical trials support initiation of sacubitril/valsartan among patients hospitalized with HFrEF. The association between timing of initiation and postdischarge adherence is unknown. METHODS AND RESULTS: We analyzed patients hospitalized for HFrEF (EF of ≤40%) within the Get With The Guidelines Heart Failure registry linked with Medicare claims between October 2015 and September 2017 who were eligible for sacubitril/valsartan. Follow-up was through December 2018. Patients were grouped by timing of sacubitril/valsartan initiation. Sacubitril/valsartan adherence at 90 and 365 days after discharge was assessed by calculating proportion of days covered (PDC) using medication fills. Among 4666 patients, 108 (2.3%) were continued on sacubitril/valsartan (on sacubitril/valsartan at admission and discharge), 191 (4.1%) were initiated as inpatients, 130 (2.8%) were initiated at discharge, and 4237 (90.1%) were discharged without sacubitril/valsartan. Median (25th, 75th) proportion of days covered through 90 days among those continued, initiated as inpatients, and initiated at discharge was 0.9 (0.6-0.1), 0.3 (0.0-0.7), and 0.0 (0.0-0.7), respectively (P < .001). Patients discharged without sacubitril/valsartan had very low rates of any sacubitril/valsartan fills within 90 and 365 days of discharge (2.1% and 7.7% of surviving patients, respectively). CONCLUSIONS: In 2015-2017 US clinical practice, more than 90% of eligible patients hospitalized for HFrEF were discharged without sacubitril/valsartan. Patients initiated as inpatients had a higher postdischarge proportion of days covered than patients initiated at discharge. Patients discharged without sacubitril/valsartan were unlikely to receive it during follow-up. These findings highlight the importance of initiating sacubitril/valsartan during hospitalization to improve the quality of care.

Regional Adiposity and Risk of Heart Failure and Mortality: The Jackson Heart Study.

Background Visceral adipose tissue (VAT) is associated with incident heart failure (HF) and HF with preserved ejection fraction, yet it is unknown how pericardial and abdominal adiposity affect HF and mortality risks in Black individuals. We examined the associations of pericardial adipose tissue (PAT), VAT, and subcutaneous adipose tissue (SAT) with incident HF hospitalization and all-cause mortality in a large community cohort of Black participants. Methods and Results Among the 2882 Jackson Heart Study Exam 2 participants without prevalent HF who underwent body computed tomography, we used Cox proportional hazards models to examine associations between computed tomography-derived regional adiposity and incident HF hospitalization and all-cause mortality. Fully adjusted models included demographics and cardiovascular disease risk factors. Median follow-up was 10.6 years among participants with available VAT (n=2844), SAT (n=2843), and PAT (n=1386). Fully adjusted hazard ratios (95% CIs) of distinct computed tomography-derived adiposity measures (PAT per 10 cm3, VAT or SAT per 100 cm3) were as follows: for incident HF, PAT 1.08 (95% CI, 1.02-1.14) and VAT 1.04 (95% CI, 1.01-1.08); for HF with preserved ejection fraction, PAT 1.13 (95% CI, 1.04-1.21) and VAT 1.07 (95% CI, 1.01-1.13); for mortality, PAT 1.07 (95% CI, 1.03-1.12) and VAT 1.01 (95% CI, 0.98-1.04). SAT was not associated with either outcome. Conclusions High PAT and VAT, but not SAT, were associated with incident HF and HF with preserved ejection fraction, and only PAT was associated with mortality in the fully adjusted models in a longitudinal community cohort of Black participants. Future studies may help understand whether changes in regional adiposity improves HF, particularly HF with preserved ejection fraction, risk predictions. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005485.

Patterns of antidepressant therapy and clinical outcomes among ischaemic stroke survivors.

BACKGROUND AND PURPOSE: Depression is common after stroke and is often treated with antidepressant medications (AD). ADs have also been hypothesised to improve stroke recovery, although recent randomised trials were neutral. We investigated the patterns of in-hospital AD initiation after ischaemic stroke and association with clinical and readmission outcomes. METHODS: All Medicare fee-for-service beneficiaries aged 65 or older hospitalised for ischaemic stroke in participating Get With The Guidelines-Stroke hospitals between April and December 2014 were eligible for this analysis. Outcome measures included days alive and not in a healthcare institution (home time), all-cause mortality and readmission within 1-year postdischarge. Propensity score (PS)-adjusted logistic regression models were used to evaluate the associations between AD use and each outcome measure. We also compared outcomes in patients prescribed selective serotonin reuptake inhibitors (SSRIs) AD versus those prescribed non-SSRI ADs. RESULTS: Of 21 805 AD naïve patients included in this analysis, 1835 (8.4%) were started on an AD at discharge. Patients started on an AD had higher rates of depression and prior ischaemic stroke, presented with higher admission National Institutes of Health Stroke Scale score and were less likely to be discharged home. Similarly, patients started on an SSRI had lower rates of discharge to home. Adjusting for stroke severity, patients started on an AD had worse all-cause mortality, all-cause readmission, major adverse cardiac events, readmission for depression and decreased home-time. However, AD use was also associated with an increased risk for the sepsis, a falsification endpoint, suggesting the presence of residual confounding. CONCLUSIONS: Patients with ischaemic stroke initiated on AD therapy are at increased risk of poor clinical outcomes and readmission even after PS adjustment, suggesting that poststroke depression requiring medication is a poor prognostic sign. Further research is needed to explore the reasons why depression is associated with worse outcome, and whether AD treatment modifies this risk or not.