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.

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.

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.

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.

Trends in the Utilization of Teleneurology and Other Healthcare Resources Prior to and During the COVID-19 Pandemic in an Urban, Tertiary Health System.

BACKGROUND: Patient groups traditionally affected by health disparities were less likely to use video teleneurology (TN) care during the initial COVID-19 pandemic surge in the United States. Whether this asymmetry persisted later in the pandemic or was accompanied with a loss of access to care remains unknown. METHODS: We conducted a retrospective cohort study using patient data from a multicenter healthcare system in New York City. We identified all established pediatric or adult neurology patients with at least two prior outpatient visits between June 16th, 2019 and March 15th, 2020 using our electronic medical record. For this established pre-COVID cohort, we identified telephone, in-person, video TN or emergency department visits and hospital admissions for any cause between March 16th and December 15th, 2020 ("COVID period"). We determined clinical, sociodemographic, income, and visit characteristics. Our primary outcome was video TN utilization, and our main secondary outcome was loss to follow-up during the COVID period. We used multivariable logistic regression to model the relationship between patient-level characteristics and both outcomes. RESULTS: We identified 23,714 unique visits during the COVID period, which corresponded to 14,170 established patients from our institutional Neurology clinics during the pre-COVID period. In our cohort, 4,944 (34.9%) utilized TN and 4,997 (35.3%) were entirely lost to follow-up during the COVID period. In the adjusted regression analysis, Black or African-American race [adjusted odds ratio (aOR) 0.60, 97.5%CI 0.52-0.70], non-English preferred language (aOR 0.49, 97.5%CI 0.39-0.61), Medicaid insurance (aOR 0.50, 97.5%CI 0.44-0.57), and Medicare insurance (aOR 0.73, 97.5%CI 0.65-0.83) had decreased odds of TN utilization. Older age (aOR 0.98, 97.5%CI 0.98-0.99), female sex (aOR 0.90 97.5%CI 0.83-0.99), and Medicaid insurance (aOR 0.78, 0.68-0.90) were associated with decreased odds of loss to follow-up. CONCLUSION: In the first 9 months of the COVID-19 pandemic, we found sociodemographic patterns in TN utilization that were similar to those found very early in the pandemic. However, these sociodemographic characteristics were not associated with loss to follow-up, suggesting that lack of TN utilization may not have coincided with loss of access to care.

Healthcare Utilization for Stroke Patients at the End of Life: Nationally Representative Data.

Objectives Stroke and post-stroke complications are associated with high morbidity, mortality, and cost. Our objective was to examine healthcare utilization and hospice enrollment for stroke patients at the end of life. Materials and methods The 2014 Nationwide Readmissions Database is a national database of > 14 million admissions. We used validated ICD-9 codes to identify fatal ischemic stroke, summarized demographics and hospitalization characteristics, and examined healthcare use within 30 days before fatal stroke admission. We used de-identified 2014 Medicare hospice data to identify stroke and non-stroke patients admitted to hospice. Results Among IS admissions in 2014 (n = 472,969), 22652 (4.8%) had in-hospital death. 28.2% with fatal IS had two or more hospitalizations in 2014. Among those with fatal IS admission, 13.0% were admitted with cerebrovascular disease within 30 days of fatal IS admission. Half of stroke patients discharged to hospice from the Medicare dataset were hospitalized with cerebrovascular disease within the thirty days prior to hospice enrollment. Within the study year, 6.9% of hospice enrollees had one or more emergency room visits, 31.7% had one or more inpatient encounters, and 5.2% had one or more nursing facility encounters (compared to 21.4%, 70.6%, and 27.2% respectively in the 30-day period prior to enrollment). Conclusions High rates of readmission prior to fatal stroke may indicate opportunity for improvement in acute stroke management, secondary prevention, and palliative care involvement as encouraged by AHA/ASA guidelines. For patients who are expected to survive 6 months or less, hospice may offer goal-concordant services for patients and caregivers who desire comfort-focused care.

Correlations Between Physician and Hospital Stroke Thrombectomy Volumes and Outcomes: A Nationwide Analysis.

Background and Purpose: Despite the Joint Commission's certification requirement of ≥15 stroke thrombectomy (ST) cases per center and proceduralist annually, the relationship between ST case volumes and outcomes is uncertain. We sought to determine whether a proceduralist or hospital volume threshold exists that is associated with better outcomes among Medicare beneficiaries. Methods: Retrospective cohort study using validated International Classification of Diseases, Tenth Revision, Clinical Modification codes to identify admissions with acute ischemic stroke and treatment with ST. We used de-identified, national 100% inpatient Medicare data sets from January 1, 2016, to December 31, 2017 for US individuals aged ≥65 years. We calculated total procedures by proceduralist and hospital. We performed adjusted logistic regression of total cases as a predictor of inpatient mortality, good outcome (defined by dichotomized discharge disposition of inpatient rehabilitation or better), and 30-day readmission. We adjusted for sex, age, Charlson Comorbidity Index, availability of neurocritical care, teaching hospital status, socioeconomic status, 2-year stroke volume, and urban versus rural hospital location. We dichotomized case numbers incrementally to determine a volume threshold for better outcomes. Results: Thirteen thousand three hundred thirty-five patients were treated with ST by 2754 proceduralists at 641 hospitals. For every 10 more proceduralist cases, patients had 4% lower adjusted odds of inpatient mortality (adjusted odds ratio, 0.96 [95% CI, 0.95­0.98], P<0.0001) and 3% greater adjusted odds of good outcome (adjusted odds ratio, 1.03 [95% CI, 1.02­1.04], P<0.0001). For every 10 more hospital cases, patients had 2% lower odds of inpatient mortality (adjusted odds ratio, 0.98 [95% CI, 0.98­0.99], P=0.0003) and 2% greater odds of good outcome (adjusted odds ratio, 1.02 [95% CI, 1.01­1.02], P<0.0001). With increasing volumes, there were higher odds of better outcomes. Conclusions: Nationally, higher proceduralist and hospital ST case volumes were associated with reduced inpatient mortality and better outcome. These data support volume requirements in guidelines for ST training and certification.

Sex Differences in Post-Stroke Depression in the Elderly.

OBJECTIVE: Post-stroke depression (PSD) occurs in approximately one-third of ischemic stroke patients. However, there is conflicting evidence on sex differences in PSD. We sought to assess sex differences in risk and time course of PSD in US ischemic stroke (IS) patients. We hypothesized that women are at greater risk of PSD than men, and that a greater proportion of women experience PSD in the acute post-stroke phase. MATERIALS AND METHODS: We conducted a retrospective cohort study of 100% de-identified data for US Medicare beneficiaries admitted for ischemic stroke from July 1, 2016 to December 31, 2017. We calculated Kaplan-Meier unadjusted cumulative risk of depression, stratified by sex, up to 1.5 years following index admission. We performed Cox regression to report the hazard ratio (HR) for diagnosis of depression up to 1.5 years post-stroke in females vs. males, adjusting for patient demographics, comorbidities, length of stay, and acute stroke interventions. RESULTS: In elderly stroke patients, females (n=90,474) were 20% more likely to develop PSD than males (n=84,427) in adjusted models. Cumulative risk of depression was consistently elevated for females throughout 1.5 years of follow-up (0.2055 [95% CI 0.2013-0.2097] vs. 0.1690 [95% CI 0.1639-0.1741] (log-rank p < 0.0001). HR for PSD in females vs. males remained significant in fully adjusted analysis at 1.20 (95% CI 1.17-1.23, p < 0.0001). CONCLUSIONS: Over 1.5 years of follow-up, female stroke patients had significantly greater hazard of developing PSD, highlighting the need for long-term depression screening in this population and further investigation of underlying reasons for sex differences.

Nationwide Analysis of Endovascular Thrombectomy Provider Specialization for Acute Stroke.

BACKGROUND AND PURPOSE: Determine the extent of cerebrovascular expertise among the specialties of proceduralists providing endovascular thrombectomy (ET) for emergent large vessel occlusion stroke in the modern era of acute stroke among Medicare beneficiaries Methods: Retrospective cohort study using validated International Classification of Diseases, Tenth Revision, Clinical Modification codes to identify admissions with acute ischemic stroke and treatment with ET. We identified proceduralist specialty by linking the National Provider Identifier provided by Medicare to the specialty listed in the National Provider Identifier database, grouping into radiology, neurology, neurosurgery, other surgical, and internal medicine. We calculated the number of proceduralists and hospitals who performed ET, ET team specialty composition by hospital, and number of proceduralists who performed ET at multiple hospitals. RESULTS: Forty-two percent (n=5612) of ET were performed by radiology-background proceduralists, with unclear knowledge of how many were cerebrovascular specialists. Neurosurgery- and neurology-background interventionalists performed fewer but substantial numbers of cases, accounting for 24% (n=3217) and 23% (n=3124) of total cases, respectively. ET teams included a neurology- or neurosurgery-background proceduralist at 65% (n=407) of hospitals that performed ET and included both in 26% (n=160) of teams. CONCLUSIONS: Almost two-thirds of ET teams nationwide include a neurology- or neurosurgery-background proceduralist and higher volume centers in urban areas were more likely to have neurology- or neurosurgery-background proceduralists with cerebrovascular expertise on their team. It is unclear how many radiology-background interventionalists are cerebrovascular specialists versus generalists. Significant work remains to be done to understand the impact of proceduralist specialty, training, and cerebrovascular expertise on ET outcomes.

Readmission to a different hospital following acute stroke is associated with worse outcomes.

OBJECTIVE: There is a high risk of readmission within 30 days of index acute ischemic stroke (AIS), but effect of readmission to a different hospital is not known. We performed a retrospective cohort study to assess our hypothesis that 30-day readmission outcomes after AIS are worse for those readmitted to another hospital vs the discharging hospital. METHODS: We utilized the 2013 Nationwide Readmissions Database to identify patients with index stroke admissions with ICD-9-CM codes. We identified all-cause readmissions with Clinical Classification Software. Outcomes included length of stay (LOS), total charges of hospitalization, and in-hospital mortality during 30-day readmission. Using linear and logistic regression, outcomes were compared in those readmitted to another hospital vs the discharging hospital. RESULTS: There were 194,549 patients included, with an average age of 80.0 ± 14.0 years; 51.2% were female; 24,545 were readmitted within 30 days, and 7,274 (29.6%) to a different hospital. Readmission to a different hospital was associated with an increased LOS of 1.0 days (95% confidence interval [CI] 0.7-1.2, p < 0.0001) and $7,677.28 (95% CI $5,496-$9,858, p < 0.0001) greater total charges. The odds ratio for in-hospital mortality during readmission was 1.2 for readmission to another hospital (95% CI 1.0-1.3, p = 0.0079). CONCLUSIONS: Readmission to another hospital within 30 days of AIS index admission was independently associated with longer LOS, increased total charges, and greater in-hospital mortality compared to readmission to the same hospital.

Interhospital Transfers for Endovascular Therapy for Acute Ischemic Stroke.

Background and Purpose- Multiple randomized clinical trials have demonstrated the superiority of endovascular therapy (ET) for large vessel occlusion acute ischemic stroke (AIS). Few centers can provide ET, and significant debate exists about the most efficient and effective ways to provide ET. We sought to assess real-world utilization of ET, the extent to which patients are transferred from one hospital to another for therapy and the implications of transfer status on outcomes. Methods- We used the 2015 to 2016 Healthcare Cost and Utilization Project Nationwide Readmissions Database, which contains nationwide data on nearly half of US admissions. We identified index AIS admissions, vascular risk factors, and treatment with intravenous thrombolysis and ET using International Classification of Disease, Ninth Revision, and International Classification of Disease, Tenth Revision Clinical Modification codes. Main predictors of outcome were treatment with ET and whether there was an interhospital transfer during the index AIS hospitalization. Among patients with AIS readmitted within 30 days, we examined 3 main outcomes: total charges, length of stay, and in-hospital mortality. Results- A total of 23 121 AIS admissions were treated with ET and 874 229 without. Over 5% of patients who received ET were transferred during the index admission compared with <2% of those not treated with ET. Length of stay and total charges were significantly higher in patients transferred (12.3 versus 9.6 days and $233 626 versus $182 881, respectively). More patients treated with ET who were not transferred to the index hospital were discharged home (25.3% versus 44.4%), and ≈25% of patients transferred for ET died during the hospitalization compared with 15.5% not transferred. Conclusions- The minority of all patients with AIS receive ET. The majority of patients who receive ET present directly to the center that performs the procedure, and those transferred for ET have higher length of stay, cost, and mortality that those not transferred.