Racial disparities in access to, and outcomes of, acute ischaemic stroke treatments in the USA.

BACKGROUND: Racism contributes to higher comorbid risk factors and barriers to preventive measures for black Americans. Advancements in systems of care, tissue plasminogen activator (tPA) availability and endovascular thrombectomy (ET) have impacted practice and outcomes while outpacing contemporary investigation into acute ischaemic stroke (AIS) care disparities. We examined whether recent data suggest ongoing disparity in AIS interventions and outcomes, and if hospital characteristics affect disparities. METHODS: We examined 2016-2019 fee-for-service Medicare inpatient data. We ran unadjusted logistic regression models to calculate ORs and 95% CI for two interventions (tPA and ET) and four outcomes (inpatient mortality, 30-day mortality, discharge home and outpatient visit within 30 days), with the main predictor black versus white race, additionally adjusting for demographics, hospital characteristics, stroke severity and comorbidities. RESULTS: 805 181 AIS admissions were analysed (12.4% black, 87.6% white). Compared with white patients, black patients had reduced odds of receiving tPA (OR 0.71, 95% CI 0.69 to 0.74, p<0.0001) and ET (0.69, 95% CI 0.65 to 0.72, p<0.0001). After tPA, black patients had reduced odds of 30-day mortality (0.77, 95% CI 0.72 to 0.82, p<0.0001), discharge home (0.72, 95% CI 0.68 to 0.77, p<0.0001) and outpatient visit within 30 days (0.89, 95% CI 0.84 to 0.95, p=0.0002). After ET, black patients had reduced odds of 30-day mortality (0.71, 95% CI 0.63 to 0.79, p<0.0001) and discharge home (0.75, 95% CI 0.64 to 0.88, p=0.0005). Adjusted models showed little difference in the magnitude, direction or significance of the main effects. CONCLUSIONS: Black patients were less likely to receive AIS treatments, and if treated had lower likelihood of 30-day mortality, discharge home and outpatient visits. Despite advancements in practice and therapies, racial disparities remain in the modern era of AIS care and are consistent with inequalities previously identified over the last 20 years. The impact of hospital attributes on AIS care disparities warrants further investigation.

Neuropsychiatric complications of coronavirus disease 2019: Mount Sinai Health System cohort study.

OBJECTIVE: To describe the frequency of neuropsychiatric complications among hospitalized patients with coronavirus disease 2019 (COVID-19) and their association with pre-existing comorbidities and clinical outcomes. METHODS: We retrospectively identified all patients hospitalized with COVID-19 within a large multicenter New York City health system between March 15, 2020 and May 17, 2021 and randomly selected a representative cohort for detailed chart review. Clinical data, including the occurrence of neuropsychiatric complications (categorized as either altered mental status [AMS] or other neuropsychiatric complications) and in-hospital mortality, were extracted using an electronic medical record database and individual chart review. Associations between neuropsychiatric complications, comorbidities, laboratory findings, and in-hospital mortality were assessed using multivariate logistic regression. RESULTS: Our study cohort consisted of 974 patients, the majority were admitted during the first wave of the pandemic. Patients were treated with anticoagulation (88.4%), glucocorticoids (24.8%), and remdesivir (10.5%); 18.6% experienced severe COVID-19 pneumonia (evidenced by ventilator requirement). Neuropsychiatric complications occurred in 58.8% of patients; 39.8% experienced AMS; and 19.0% experienced at least one other complication (seizures in 1.4%, ischemic stroke in 1.6%, hemorrhagic stroke in 1.0%) or symptom (headache in 11.4%, anxiety in 6.8%, ataxia in 6.3%). Higher odds of mortality, which occurred in 22.0%, were associated with AMS, ventilator support, increasing age, and higher serum inflammatory marker levels. Anticoagulant therapy was associated with lower odds of mortality and AMS. CONCLUSION: Neuropsychiatric complications of COVID-19, especially AMS, were common, varied, and associated with in-hospital mortality in a diverse multicenter cohort at an epicenter of the COVID-19 pandemic.

National Institutes of Health Stroke Scale Reporting in Medicare Claims Data: Reporting in the First 3 Years.

BACKGROUND: Since 2016, hospitals have been able to document International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for the National Institutes of Health Stroke Scale (NIHSS). As of 2023, the Centers for Medicare & Medicaid Services uses NIHSS as a risk adjustment variable. We assessed associations between patient- and hospital-level variables and contemporary NIHSS reporting. METHODS: We performed a retrospective cross-sectional analysis of 2019 acute ischemic stroke admissions using deidentified, national 100% inpatient Medicare Fee-For-Service data sets. We identified index acute ischemic stroke admissions using the ICD-10-CM code I63.x and abstracted demographic information, medical comorbidities, hospital characteristics, and NIHSS. We linked Medicare and Mount Sinai Health System (New York, NY) registry data from 2016 to 2019. We calculated NIHSS documentation at the patient and hospital levels, predictors of documentation, change over time, and concordance with local data. RESULTS: There were 231 383 index acute ischemic stroke admissions in 2019. NIHSS was documented in 44.4% of admissions and by 66.5% of hospitals. Hospitals that documented ≥1 NIHSS were more commonly teaching hospitals (39.0% versus 5.5%; standardized mean difference score, 0.88), stroke certified (37.2% versus 8.0%; standardized mean difference score, 0.75), higher volume (mean, 80.8 [SD, 92.6] versus 6.33 [SD, 14.1]; standardized mean difference score, 1.12), and had intensive care unit availability (84.9% versus 23.2%; standardized mean difference score, 1.57). Adjusted odds of documentation were lower for patients with inpatient mortality (odds ratio, 0.64 [95% CI, 0.61-0.68]; P<0.0001), in nonmetropolitan areas (odds ratio, 0.49 [95% CI, 0.40-0.61]; P<0.0001), and male sex (odds ratio, 0.95 [95% CI, 0.93-0.97]; P<0.0001). NIHSS was documented for 52.9% of Medicare cases versus 93.1% of registry cases, and 74.7% of Medicare NIHSS scores equaled registry admission NIHSS. CONCLUSIONS: Missing ICD-10-CM NIHSS data remain widespread 3 years after the introduction of the ICD-10-CM NIHSS code, and there are systematic differences in reporting at the patient and hospital levels. These findings support continued assessment of NIHSS reporting and caution in its application to risk adjustment models.

Risk of Recurrent Stroke and Mortality Among Black and White Patients With Poststroke Depression.

BACKGROUND: Poststroke depression (PSD) is a treatable and common complication of stroke that is underdiagnosed and undertreated in minority populations. We compared outcomes of Black and White patients with PSD in the United States to assess whether race is independently associated with the risk of recurrent stroke and mortality. METHODS: We used deidentified Medicare data from inpatient, outpatient, and subacute nursing facilities for Black and White US patients from January 1, 2016, to December 31, 2019, to perform this retrospective cohort analysis. International Classification of Diseases, Tenth Revision codes were used to identify patients diagnosed with depression within 6 months of index stroke with no depression diagnosis 1-year preceding index stroke. We performed an unadjusted Kaplan-Meier analysis of the cumulative risk of recurrent stroke up to 3 years after index acute ischemic stroke admission and all-cause mortality following acute ischemic stroke stratified by Black and White race. We performed adjusted and reduced Cox regression to calculate hazard ratios for the main predictor of race (Black versus White), for recurrent stroke and all-cause mortality, adjusting for sociodemographic characteristics, comorbidities, characteristics of the hospitalization, and acute stroke interventions. RESULTS: Of 474 770 Medicare patients admitted with acute index stroke, 443 486 were categorized as either Black or White race and 35 604 fulfilled our criteria for PSD. Within the PSD cohort, 25 451 (71.5%) had no death or recurrent stroke within 6 months and 5592 (15.7%) had no death or readmission of any cause within 6 months. Black patients with PSD had a persistently elevated cumulative risk of recurrent stroke compared with White patients with PSD up to 3 years following acute ischemic stroke (log-rank P=0.0011). In our reduced multivariable model, Black patients had a 19.8% (hazard ratio, 1.198 [95% CI, 1.022-1.405]; P=0.0259) greater risk of recurrent stroke than White patients. The unadjusted cumulative risk of all-cause mortality was higher in this cohort of older White patients with PSD compared with Black patients; however, this difference disappeared with adjustment for age and other cofactors. CONCLUSIONS: Black patients with PSD face a persistently elevated risk of recurrent stroke compared with White patients but a similar risk of all-cause mortality. Our findings support that black race is an independent predictor of recurrent stroke in patients with PSD and highlight the need to address social determinants of health and systemic racism that impact poststroke outcomes among racial minorities.

Internal Carotid Artery Stenosis and Ipsilateral Subretinal Drusenoid Deposits.

Purpose: Subretinal drusenoid deposits (SDDs) in age-related macular degeneration (AMD) are strongly associated with vasculopathies such as myocardial infarction and ischemic stroke. This study evaluates ischemic stroke subjects for SDDs to determine whether ocular hypoperfusion from internal carotid artery (ICA) stenosis is associated with ipsilateral SDDs. Methods: A cross-sectional study at Mount Sinai Hospital recruited 39 subjects with ischemic stroke (aged 52-90; 18 women, 21 men); 28 completed all study procedures. Computed tomography (CT) of the head and neck evaluated 54/56 ICAs for stenosis criteria: none (n = 33), mild (n = 12), moderate (n = 3), severe (n = 3), and complete (n = 3). Spectral-domain optical coherence tomography (SD-OCT) scans were read to consensus by two masked graders for soft drusen, SDDs and choroidal thickness (CTh; choroidal thinning = CTh < 250 µm). Univariate testing was done with Fisher's exact test. Multivariate logistic regression models tested age, gender, and ICA stenosis as covariates. Results: Moderate or more ICA stenosis (≥50%-69%) was significantly associated with ipsilateral choroidal thinning (P = 0.021) and ipsilateral SDDs (P = 0.005); the latter were present distal to six of nine stenosed ICAs versus five of 33 normal ICAs. Mild ICA stenosis (≥1%-49%) was not significantly associated with ipsilateral SDDs. Multivariate regression found that older age (P = 0.015) and moderate or more ICA stenosis (P = 0.011) remained significant independent risks for ipsilateral SDDs. Conclusions: At least moderate ICA stenosis (≥50%-69%) is strongly associated with ipsilateral SDDs and choroidal thinning, supporting downstream ophthalmic artery and choroidal hypoperfusion from ICA stenosis as the mechanism for SDD formation. SDDs may thus serve as sensitive biomarkers for ischemic stroke and other vascular diseases.

Provider Care Segregation and Hospital-Region Racial Disparities in the United States for Acute Ischemic Stroke and Endovascular Therapy Outcomes.

BACKGROUND: Reasons for racial disparities in the use and outcomes of endovascular treatment (ET) are not known. We examined patterns in care segregation for acute ischemic stroke (AIS) in the United States, and outcomes of segregation of care after ET. METHODS AND RESULTS: We used deidentified Medicare data sets to identify AIS admissions between January 1, 2016 and December 31, 2019, using validated International Classification of Diseases, Tenth Revision (ICD-10) codes. For AIS, we calculated (1) the proportion of White patients at the hospital, (2) the proportional difference in the proportion of White patients between hospital patients and the county, and (3) provider care segregation by the dissimilarity index for ET cases. Using unadjusted and adjusted multilevel logistic models, we examined associations between measures of segregation and outcomes of discharge home, inpatient mortality, and 30-day mortality. The mean proportional difference in the proportion of White patients comparing hospitalized patients with AIS to the county race distribution was 0.015 (SD, 0.219) at the hospital level. For ET, the mean proportional difference in the proportion of White patients comparing patients receiving ET to the county race distribution was much higher, at 0.146 (SD, 0.374). The dissimilarity index for ET providers was high, with a mean of 0.48 (SD, 0.29) across all hospitals. Black patients with AIS (compared with White patients) had reduced odds of discharge home, inpatient mortality, and 30-day mortality. CONCLUSIONS: In this national study with contemporary data in the endovascular era of AIS treatment, we found substantial evidence for segregation of care in the United States, not for only AIS in general but also especially for ET.

Variation in US acute ischemic stroke treatment by hospital regions: limited endovascular access despite evidence.

BACKGROUND: Although national organizations recognize the importance of regionalized acute ischemic stroke (AIS) care, data informing expansion are sparse. We assessed real-world regional variation in emergent AIS treatment, including growth in revascularization therapies and stroke center certification. We hypothesized that we would observe overall growth in revascularization therapy utilization, but observed differences would vary greatly regionally. METHODS: A retrospective cross-sectional analysis was carried out of de-identified national inpatient Medicare Fee-for-Service datasets from 2016 to 2019. We identified AIS admissions and treatment with thrombolysis and endovascular thrombectomy (ET) with International Classification of Diseases, 10th Revision, Clinical Modification codes. We grouped hospitals in Dartmouth Atlas of Healthcare Hospital Referral Regions (HRR) and calculated hospital, demographic, and acute stroke treatment characteristics for each HRR. We calculated the percent of hospitals with stroke certification and AIS cases treated with thrombolysis or ET per HRR. RESULTS: There were 957 958 AIS admissions. Relative mean (SD) growth in percent of AIS admissions receiving revascularization therapy per HRR from 2016 to 2019 was 13.4 (31.7)% (IQR -6.1-31.7%) for thrombolysis and 28.0 (72.0)% (IQR 0-56.0%) for ET. The proportion of HRRs with decreased or no difference in ET utilization was 38.9% and the proportion of HRRs with decreased or no difference in thrombolysis utilization was 32.7%. Mean (SD) stroke center certification proportion across HRRs was 45.3 (31.5)% and this varied widely (IQR 18.3-73.4%). CONCLUSIONS: Overall growth in AIS treatment has been modest and, within HRRs, growth in AIS treatment and the proportion of centers with stroke certification varies dramatically.

Provider care segregation and hospital-region racial disparities for carotid interventions in the USA.

BACKGROUND: Reasons for racial disparities in the utilization and outcomes of carotid interventions (carotid endarterectomy (CEA) and carotid artery stenting (CAS)) are not well understood, especially segregation of care associated with carotid intervention. We examined patterns of geographic and provider care segregation in carotid interventions and outcomes. METHOD: We used de-identified Medicare datasets to identify CEA and CAS interventions between January 1, 2016 and December 31, 2019 using validated ICD-10 codes. For patients who underwent carotid intervention, we calculated (1) the proportion of White patients at the hospital, (2) the proportional difference in the proportion of White patients between hospital patients and the county, and (3) provider care segregation by the dissimilarity index for carotid intervention cases. We examined associations between measures of segregation and outcomes. RESULTS: Despite higher proportions of Black patients in counties with hospitals that provide carotid intervention, lower proportions of Black patients received intervention. The difference in the proportion of White patients comparing CEA patients to the county race distribution was 0.143 (SD 0.297) at the hospital level (for CAS, 0.174 (0.315)). The dissimilarity index for CEA providers was high, with mean (SD) 0.387 (0.274) averaged across all hospitals and higher among CAS providers at 0.472 (0.288). Black patients receiving CEA and CAS (compared with Whites) had reduced odds of discharge home. Better outcomes (inpatient mortality and 30-day mortality) were independently associated with higher proportion of White CAS patients. CONCLUSION: In this national study with contemporary data on carotid intervention, we found evidence for segregation of care of both CEA and CAS.

Patterns and outcomes of weekend admission for acute ischemic stroke.

BACKGROUND AND OBJECTIVES: The "weekend effect" describes worse care delivery during off-hours or weekends and has been demonstrated in multiple sub-specialties. Off-hours care for acute ischemic stroke (AIS) has been associated with poorer outcomes. However, there is less data about the "weekend effect" on endovascular thrombectomy (ET) outcomes. METHODS: We used Medicare 100% sample datasets and included all AIS admissions from 2018-2019, using validated International Classification of Diseases, 10th Revision, Clinical Modification codes to identify AIS and comorbidities. Medicare provides the date of admission for all hospitalizations, and the day of the week was determined and assigned to weekend (Saturday or Sunday) or weekday (Monday through Friday). We defined 3 major outcomes: inpatient mortality, discharge home (vs. other destination), and 30-day mortality. RESULTS: Among 471427 AIS admissions,13.0% and 12.9% of all AIS admissions occurred on a Saturday and Sunday, respectively, less than the expected 14.3% occurring on any given day (p-value <0.0001). AIS admissions on a weekend were less likely to receive IV thrombolysis (13.6% on Saturday and 12.9% on Sunday) and ET (13.1% on Saturday and 13.2% on Sunday), p-value <0.0001. Among all AIS admissions, weekend admission was associated with worse outcomes, including higher odds of inpatient mortality (adjusted OR 1.04 [95% CI 1.01-1.08, p<0.0001]), lower odds of discharge home (0.94 [0.93-0.96, p<0.0001]), and higher odds of 30-day mortality (1.06 [1.04-1.08, p<0.0001]). However, among AIS patients treated with ET, there was no association of weekend admission with outcomes. CONCLUSIONS: In this national and contemporary dataset, we observed that the proportion of thrombolysis and ET cases was less over the weekend, and outcomes (inpatient mortality, 30-day mortality and odds of discharge home) were worse overall. We did not observe this association among AIS patients undergoing ET on a weekend vs. weekday.

In-hospital outcomes in patients with and without epilepsy diagnosed with COVID-19-A cohort study.

OBJECTIVES: Coronavirus disease 2019 (COVID-19) is associated with mortality in persons with comorbidities. The aim of this study was to evaluate in-hospital outcomes in patients with COVID-19 with and without epilepsy. METHODS: We conducted a retrospective study of patients with COVID-19 admitted to a multicenter health system between March 15, 2020, and May 17, 2021. Patients with epilepsy were identified using a validated International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)/ICD-10-CM case definition. Logistic regression models and Kaplan-Meier analyses were conducted for mortality and non-routine discharges (i.e., not discharged home). An ordinary least-squares regression model was fitted for length of stay (LOS). RESULTS: We identified 9833 people with COVID-19 including 334 with epilepsy. On univariate analysis, people with epilepsy had significantly higher ventilator use (37.70% vs 14.30%, p < .001), intensive care unit (ICU) admissions (39.20% vs 17.70%, p < .001) mortality rate (29.60% vs 19.90%, p < .001), and longer LOS (12 days vs 7 days, p < .001). and fewer were discharged home (29.64% vs 57.37%, p < .001). On multivariate analysis, only non-routine discharge (adjusted odds ratio [aOR] 2.70, 95% confidence interval [CI] 2.00-3.70; p < .001) and LOS (32.50% longer, 95% CI 22.20%-43.60%; p < .001) were significantly different. Factors associated with higher odds of mortality in epilepsy were older age (aOR 1.05, 95% CI 1.03-1.08; p < .001), ventilator support (aOR 7.18, 95% CI 3.12-16.48; p < .001), and higher Charlson comorbidity index (CCI) (aOR 1.18, 95% CI 1.04-1.34; p = .010). In epilepsy, admissions between August and December 2020 or January and May 2021 were associated with a lower odds of non-routine discharge and decreased LOS compared to admissions between March and July 2020, but this difference was not statistically significant. SIGNIFICANCE: People with COVID-19 who had epilepsy had a higher odds of non-routine discharge and longer LOS but not higher mortality. Older age (≥65), ventilator use, and higher CCI were associated with COVID-19 mortality in epilepsy. This suggests that older adults with epilepsy and multimorbidity are more vulnerable than those without and should be monitored closely in the setting of COVID-19.

Relationships among hospital acute ischemic stroke volumes, hospital characteristics, and outcomes in the US.

BACKGROUND AND OBJECTIVES: Prior research on volume-based patient outcomes related to acute ischemic stroke (AIS) have demonstrated contradictory results and fail to reflect recent advances in stroke care. We sought to examine contemporary relationships between hospital AIS volumes and outcomes. METHODS: We used complete Medicare datasets in a retrospective cohort study using validated International Classification of Diseases Tenth Revision codes to identify patients admitted with AIS from January 1, 2016 through December 31, 2019. AIS volume was calculated as the total number of AIS admissions per hospital during the study period. We examined several hospital characteristics by AIS volume quartile. We performed adjusted logistic regressions testing associations of AIS volume quartiles with: inpatient mortality, receipt of tissue plasminogen activator (tPA) and endovascular therapy (ET), discharge home, and 30-day outpatient visit. We adjusted for sex, age, Charlson comorbidity score, teaching hospital status, MDI, hospital urban-rural designation, stroke certification status and ICU and neurologist availability at the hospital. RESULTS: There were 952400 AIS admissions among 5084 US hospitals; AIS 4-year volume quartiles were: 1st: 1-8 AIS admissions; 2nd: 9-44; 3rd: 45-237; 4th: 238+. Highest quartile hospitals more often were stroke-certified (49.1% vs 8.7% in lowest quartile, p<0.0001), with ICU bed availability (19.8% vs 4.1%, p<0.0001) and with neurologist expertise (91.1% vs 3%, p<0.0001). In the highest AIS quartile (compared to the lowest quartile), there was lower inpatient mortality (odds ratio [OR] 0.71 [95%CI 0.57-0.87, p<0.0001]), lower 30-day mortality (0.55 [0.49-0.62], p<0.0001), greater receipt of tPA (6.60 [3.19-13.65], p<0.0001) and ET (16.43 [10.64-25.37], p<0.0001, and greater likelihood of discharge home (1.38 [1.22-1.56], p<0.0001). However, when the highest quartile hospitals were examined separately, higher volumes were associated with higher mortality despite higher rates of tPA and ET receipt. CONCLUSIONS: High AIS-volume hospitals have greater utilization of acute stroke interventions, stroke certification and availability of neurologist and ICU care. These features likely play a role in the better outcomes observed at such centers, including inpatient and 30-day mortality and discharge home. However, the highest volume centers had higher mortality despite greater receipt of interventions. Further research is needed to better understand volume-outcome relationships in AIS to improve care at lower volume centers.

Treatment Patterns for Sickle Cell Disease among Those with Cerebrovascular Disease in the USA.

BACKGROUND: New treatments and guidelines in sickle cell disease (SCD) have improved the quality and lifespan of SCD patients. Over 90% of people with SCD will live into adulthood, and the majority will live past 50 years of age. However, data on comorbidities and treatments among SCD patients with and without cerebrovascular disease (CVD) are limited. OBJECTIVES: The objective of this study was to describe the outcomes and preventive treatments used on SCD patients with and without CVD, based on a dataset of over 11,000 SCD patients. METHODS: We identified SCD patients with and without CVD from the MarketScan administrative database using validated International Classification of Diseases, 10th Revision, Clinical Modification codes from January 1, 2016, to December 31, 2017. We summarized treatments received (iron chelation, blood transfusion, transcranial Doppler, and hydroxyurea) and tested for differences by CVD status using the t test for continuous variables and the χ2 for categorical variables. We also tested for differences among SCD, stratifying by age (<18 years vs. ≥18 years). RESULTS: Of the 11,441 SCD patients, 833 (7.3%) had CVD. SCD patients with CVD were more likely to have diabetes mellitus (32.4% among those with CVD vs. 13.8% without CVD), congestive heart failure (18.3 vs. 3.4%), hypertension (58.6 vs. 24.7%), chronic kidney disease (17.9 vs. 4.9%), and coronary artery disease (21.3 vs. 4.0%). SCD patients with CVD were more likely to receive a blood transfusion (15.3 vs. 7.2%) and hydroxyurea (10.5 vs. 5.6%). Fewer than 20 patients with SCD were given iron chelation therapy, and none received transcranial Doppler ultrasound. Hydroxyurea was prescribed among a greater percentage of children (32.9%) than adults (15.9%). CONCLUSIONS: There appears to be an underutilization overall of treatment options among SCD patients with CVD. Further research would confirm these trends and explore ways to increase utilization of standard treatments among SCD patients.

Patterns and Outcomes of Intensive Care on Acute Ischemic Stroke Patients in the US.

BACKGROUND: Up to 20% of acute ischemic stroke (AIS) patients may benefit from intensive care unit (ICU)-level care; however, there are few studies evaluating ICU availability for AIS. We aim to summarize the proportion of elderly AIS patients in the United States who are admitted to an ICU and assess the national availability of ICU-level care in AIS. METHODS: We performed a retrospective cohort study using de-identified Medicare inpatient datasets from January 1, 2016 through December 31, 2019 for US individuals aged ≥65 years. We used validated International Classification of Diseases, Tenth Revision, Clinical Modification codes to identify AIS admission and interventions. ICU-level care was identified by revenue center code. AIS patient characteristics and interventions were stratified by receipt of ICU-level care, comparing differences through calculated standardized mean difference score due to large sample sizes. RESULTS: From 2016 through 2019, a total of 952 400 admissions by 850 055 individuals met criteria for hospital admission for AIS with 19.9% involving ICU-level care. Individuals were predominantly >75 years of age (58.5%) and identified as white (80.0%). Hospitals on average admitted 11.4% (SD 14.6) of AIS patients to the ICU, with the median hospital admitting 7.7% of AIS patients to the ICU. The ICU admissions were younger and more likely to receive reperfusion therapy but had more comorbid conditions and neurologic complications. Of the 5084 hospitals included, 1971 (38.8%) reported no ICU-level AIS care. Teaching hospitals (36.9% versus 1.6%, P<0.0001) with larger AIS volume (P<0.0001) or in larger metropolitan areas (P<0.0001) were more likely to have an ICU available. CONCLUSIONS: We found evidence of national variation in the availability of ICU-level care for AIS admissions. Since ICUs may provide comprehensive care for the most severe AIS patients, continued effort is needed to examine ICU accessibility and utility among AIS.

Risk, Determinants, and Pharmacologic Treatment of Depression Following Acute Ischemic Stroke.

Background and Purpose: We assessed risk and determinants of new-onset depression in acute ischemic stroke (AIS) patients of all ages and no known history of depression. Additionally, we assessed patterns of post-stroke depression (PSD) treatment with pharmacotherapy. Methods: Retrospective cohort study of de-identified Marketscan Commercial Claims and Encounters and Medicare Supplemental and Coordination of Benefits Datasets for adults age ≥18 years admitted with AIS from July 1, 2016-July 1, 2017. We created Kaplan-Meier curves of cumulative risk of PSD up to 1.5 years following index AIS admission. We performed Cox regression to report hazard ratios for determinants of PSD up to 1.5 years following AIS. We summarized proportions treated with pharmacotherapy and identified the most commonly prescribed medications. Results: Of 8089 AIS patients, 1059 were diagnosed with PSD. At 1 year, cumulative risk of PSD was 13.4% (standard error .4) and 15.3% (standard error .5) at 1.5 years. History of anxiety was most strongly associated with PSD and discharge home least. Among those with PSD, 68.8% were prescribed an antidepressant and 8.4% an antipsychotic. The most commonly prescribed antidepressant was sertraline (28.5%). Conclusions: Among AIS patients of all ages, there is a persistently elevated cumulative risk of new diagnosis of PSD in the 1.5 years following AIS. Of the >2/3 treated with an antidepressant, sertraline was most commonly prescribed. Screening and treatment strategies for PSD require further study.

National Patterns and Outcomes of Neurologist Care in Acute Ischemic Stroke.

Background & Purpose: Specialist care of acute ischemic stroke patients has been associated with improved outcomes but is not well-characterized. We sought to elucidate the involvement and influence of neurologists on acute ischemic stroke care. Methods: Using 100% Medicare datasets, index acute ischemic stroke admissions from 2016-2018 were identified with International Classification of Diseases, 10th Revision codes. Neurologists were identified by NPI code. Neurologist involvement in care was defined as: "neurologist involved in care"; "hospital with a neurologist"; and "percent of acute ischemic stroke treated by neurologist." Adjusted logistic regression models summarized exposure to neurologists and their association with outcomes (inpatient mortality, good outcome, and 30-day readmission). Results: Among 647838 index AIS admissions from 2016-2018, 15.6% included a neurologist involved in care, associated with receiving intravenous thrombolysis (19.1% vs 6.5%), endovascular thrombectomy (13.2% vs 1.4%), treatment at a teaching hospital (87.7% vs 55.5%), and treatment at a hospital in the highest volume quartile (95.3% vs 75.6%). Of 4797 hospitals, 36.1% had a neurologist, among which the mean percent of admissions treated by a neurologist was 14.7% (SD 24.4). Neurologist involvement was associated with increased inpatient mortality (OR 1.81; 95% CI 1.75-1.86), decreased odds of a good outcome (OR .92; 95% CI .90-.93), and increased 30-day readmission (OR 1.04; 95% C: 1.01-1.06). Conclusions: The minority of acute ischemic stroke admissions among the elderly in the US are treated by neurologists. Neurologist involvement in care is associated with worse outcomes, possibly from the allocation of severe cases to neurologists.

Patterns in the number of interventionalists for endovascular treatment of acute ischemic stroke in the US.

BACKGROUND: Endovascular thrombectomy (ET) has become the standard of stroke care for large vessel occlusion acute ischemic stroke (AIS) involving the anterior circulation. With continued eligibility expansion, the demand for neuro-intervention is growing. Current estimates indicate inadequate supply of interventionalists. However, there is limited data describing the number of interventionalists per hospital in the US, and correlations with outcomes. METHODS: We used Medicare 100% sample datasets and included all AIS admissions from 2018 to 2019, using validated International Classification of Diseases, 10th Revision, Clinical Modification codes to identify AIS and comorbidities. We utilized National Provider Identifier codes to identify distinct interventionalists at the hospital. We examined outcomes at the hospital level, including percent of AIS treated with thrombolysis, percent of AIS with inpatient mortality, percent of AIS with discharge home, and percent of AIS with death within 30 days. RESULTS: Among 471,427 AIS admissions, 16,253 received ET over the 2-year period of the study. Only 683 of 4576 AIS-treating institutions provided ET (14.9%). These ET centers most frequently only had one interventionalist performing ET and were clustered in large metropolitan areas with high AIS volumes. As AIS volumes, ET volumes, and mean NIHSS scores increased, so did the number of interventionalists. With each additional interventionalist, there was an increased likelihood of poor outcomes including inpatient mortality, discharge home, and 30-day mortality. CONCLUSIONS: We confirmed a relative lack of neuro-interventionalists among US hospitals, with a concentration of interventionalists in urban, high-volume centers. The greater likelihood of poor outcomes associated with increasing number of interventionalists is likely due to increasing complexity and severity of cases at high-volume ET centers, but further study is needed.

Variability in Intensive Care Utilization for Intracerebral Hemorrhage in the United States: Retrospective Cohort Study.

OBJECTIVES: There are urban-rural geographic health disparities in intracerebral hemorrhage (ICH) outcomes. However, there is limited data regarding the relationship between intensive care (ICU) availability and ICH outcomes. We examined whether ICU availability was a significant contributor to ICH outcomes by US geographic region. MATERIALS AND METHODS: We used de-identified Medicare inpatient datasets from January 2016 to December 2019 and identified all index ICH admissions, stratifying by ICU care received during the hospitalization. Distributions of teaching hospital status, quartile of ICH volume, hospital urban-rural designation, and ICU availability were obtained using chi-square test. Propensity-score matching was utilized to compare outcomes of more favorable outcome, inpatient mortality, and 30-day all-cause readmissions by ICU availability at each hospital. RESULTS: Out of a total of 119,891 hospitalizations for ICH, 66,306 (55.3%) received ICU-level care. Of hospitals that treated at least one ICH, 42.6% did not provide ICU level care for any ICH admission during the study period. Teaching hospitals (48.0% vs 7.0%; p<0.0001), hospitals with higher ICH case volumes (p<0.0001) and in larger metropolitan areas (p<0.0001) were more likely to have an ICU available. Propensity score-matched models showed that hospital ICU availability was associated with a lower likelihood of inpatient mortality (29.4% vs 33.7%; p=0.0016) CONCLUSIONS: Rural-urban disparities in ICH outcomes are likely multifactorial, but ICU availability likely contributes to the disparity. Additional studies are necessary to elucidate other contributing mechanisms.

Triptan medication use among patients with migraine with contraindications in the US.

OBJECTIVE: We sought to investigate the prevalence of triptan use among patients with migraine who have contraindications to triptan usage, and to explore specifics of the medication prescribed, dosage, and route of administration. BACKGROUND: Triptan medications are a mainstay of acute migraine therapy, but little is known about prevalence and patterns of triptan prescribing among patients with contraindications in the United States. METHODS: In this retrospective cohort study, we used data from the IBM Marketscan database to identify patients aged ≥ 18 years with migraine from January 1, 2016, to December 31, 2017, using International Classification of Diseases, Clinical Modification 10 codes. Contraindications to triptan medications were identified by review of package labels as listed on the US Food and Drug Administration website. Triptan medications were identified from the IBM Micromedex Redbook linked to prescription claims along with route of administration and dosage. RESULTS: Of 1,038,472 individuals diagnosed with migraine, 400,112 (38.5%) were prescribed triptan medication, and of those who were prescribed a triptan, 55,707 (13.9%) had at least one contraindication, with the most common contraindication being cardiac arrhythmia (33,696/400,112 individuals, 8.4%) followed by cerebrovascular disease (14,787/400,112, 3.7%) and coronary artery disease (10,236/400,112, 2.6%). Sumatriptan was the most prescribed triptan (261,736/1,038,472, 25.2%), and the subcutaneous and intranasal routes were more commonly prescribed among those with contraindications compared with those without contraindications. DISCUSSION: A substantial proportion of patients with migraine with contraindications were prescribed triptan medications. These findings call for further research on the outcomes of patients with medical contraindications who are prescribed triptan medications, and for greater clarity in prescribing guidelines about the optimal approach for acute therapy among patients with migraine.

Electroencephalography at the height of a pandemic: EEG findings in patients with COVID-19.

OBJECTIVE: To characterize continuous video electroencephalogram (VEEG) findings of hospitalized COVID-19 patients. METHODS: We performed a retrospective chart review of patients admitted at three New York City hospitals who underwent VEEG at the peak of the COVID-19 pandemic. Demographics, comorbidities, neuroimaging, VEEG indications and findings, treatment, and outcomes were collected. RESULTS: Of 93 patients monitored, 77% had severe COVID-19 and 40% died. Acute ischemic or hemorrhagic stroke was present in 26% and 15%, respectively. Most common VEEG indications were encephalopathy/coma (60%) and seizure-like movements (38%). Most common VEEG findings were generalized slowing (97%), generalized attenuation (31%), generalized periodic discharges (17%) and generalized sharp waves (15%). Epileptiform abnormalities were present in 43% and seizures in 8% of patients, all of whom had seizure risk factors. Factors associated with an epileptiform VEEG included increasing age (OR 1.07, p = 0.001) and hepatic/renal failure (OR 2.99, p = 0.03). CONCLUSIONS: Most COVID-19 patients who underwent VEEG monitoring had severe COVID-19 and over one-third had acute cerebral injury (e.g., stroke, anoxia). Seizures were uncommon. VEEG findings were nonspecific. SIGNIFICANCE: VEEG findings in this cohort of hospitalized COVID-19 patients were those often seen in critical illness. Seizures were uncommon and occurred in the setting of common seizure risk factors.

SUBRETINAL DRUSENOID DEPOSITS AND SOFT DRUSEN: Are They Markers for Distinct Retinal Diseases?

PURPOSE: Soft drusen and subretinal drusenoid deposits (SDDs) characterize two pathways to advanced age-related macular degeneration (AMD), with distinct genetic risks, serum risks, and associated systemic diseases. METHODS: One hundred and twenty-six subjects with AMD were classified as SDD (with or without soft drusen) or non-SDD (drusen only) by retinal imaging, with serum risks, genetic testing, and histories of cardiovascular disease (CVD) and stroke. RESULTS: There were 62 subjects with SDD and 64 non-SDD subjects, of whom 51 had CVD or stroke. SDD correlated significantly with lower mean serum high-density lipoprotein (61 ± 18 vs. 69 ± 22 mg/dL, P = 0.038, t-test), CVD and stroke (34 of 51 SDD, P = 0.001, chi square), ARMS2 risk allele (P = 0.019, chi square), but not with CFH risk allele (P = 0.66). Non-SDD (drusen only) correlated/trended with APOE2 (P = 0.032) and CETP (P = 0.072) risk alleles (chi square). Multivariate independent risks for SDD were CVD and stroke (P = 0.008) and ARMS2 homozygous risk (P = 0.038). CONCLUSION: Subjects with subretinal drusenoid deposits and non-SDD subjects have distinct systemic associations and serum and genetic risks. Subretinal drusenoid deposits are associated with CVD and stroke, ARMS2 risk, and lower high-density lipoprotein; non-SDDs are associated with higher high-density lipoprotein, CFH risk, and two lipid risk genes. These and other distinct associations suggest that these lesions are markers for distinct diseases.