Abstract P109: Racial/Ethnic Disparities in Post-Stroke Disability: A Focus on Outcome Measures

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Suzanne Burns ◽  
Brandi White ◽  
Gayenell Magwood ◽  
Charles Ellis ◽  
Ayaba Logan ◽  
...  

Background and Purpose: Several studies suggest that racial/ethnic minority groups experience worse disability across the course of stroke recovery. However, there is little consistency in the measurement of stroke outcomes, which may contribute to some inconclusive evidence of racial/ethnic disparities in post-stroke disability. The objective of the current review is to examine how stroke outcomes are measured to identify racial/ethnic disparities in disability and functioning among stroke survivors in the US. Methods: A review of the literature was conducted to identify outcome measures used in racial/ethnic disparities in post-stroke disability literature, use the International Classification of Functioning, Disability, and Health (ICF) model as a frame of reference for mapping the contents of the identified measures, and evaluate the time points of measured outcomes and racial/ethnic representation. Articles published between January 2001 and July 2017 were identified with our search criteria through Scopus, PubMed, CINAHL, and PsycINFO according to predefined inclusion criteria. Results: One hundred and ninety-four articles met inclusion criteria for full-text review and 41 articles were included in the final review. Although we found evidence of outcome measure content aligning with all ICF domains, little research has examined contextual factors in post-stroke disability disparities research. Additionally, we discovered the outcome measures are conducted across stroke recovery trajectories including pre-stroke, acute stroke, early recovery (≤90 days), and long-term (>90 days) but little consistency in outcome measure use was discovered. African American and Hispanic populations were assessed most frequently and minimal studies examined disparities among other minority populations comprising the US (i.e., Asian, Native Hawaiian or Other Pacific Islander, American Indian or Alaska Native). Conclusions: A variety of outcome measures have been used to assess disparities in disability across the course of stroke recovery. Yet, the lack of consistency in what outcomes are measured and when specific outcomes are assessed may contribute to mixed findings in the racial/ethnic disparities literature. Additional concerns include the lack of evidence on validity of outcome measures among racial/ethnic minority populations, the lack of representation among all racial/ethnic populations comprising the US, and minimal emphasis placed on the disparities in personal and environmental factors that contribute to disability. This review sheds light on the need for additional disparities in post-stroke disability research focusing on contextual factors and greater representation among less studied populations in the US.

2018 ◽  
Vol 41 (15) ◽  
pp. 1835-1845 ◽  
Author(s):  
Suzanne Perea Burns ◽  
Brandi M. White ◽  
Gayenell Magwood ◽  
Charles Ellis ◽  
Ayaba Logan ◽  
...  

2021 ◽  
pp. 105566562199610
Author(s):  
Buddhathida Wangsrimongkol ◽  
Roberto L. Flores ◽  
David A. Staffenberg ◽  
Eduardo D. Rodriguez ◽  
Pradip. R. Shetye

Objective: This study evaluates skeletal and dental outcomes of LeFort I advancement surgery in patients with cleft lip and palate (CLP) with varying degrees of maxillary skeletal hypoplasia. Design: Retrospective study. Method: Lateral cephalograms were digitized at preoperative (T1), immediately postoperative (T2), and 1-year follow-up (T3) and compared to untreated unaffected controls. Based on the severity of cleft maxillary hypoplasia, the sample was divided into 3 groups using Wits analysis: mild: ≤0 to ≥−5 mm; moderate: <−5 to >−10 mm; and severe: ≤−10 mm. Participants: Fifty-one patients with nonsyndromic CLP with hypoplastic maxilla who met inclusion criteria. Intervention: LeFort I advancement. Main Outcome Measure: Skeletal and dental stability post-LeFort I surgery at a 1-year follow-up. Results: At T2, LeFort I surgery produced an average correction of maxillary hypoplasia by 6.4 ± 0.6, 8.1 ± 0.4, and 10.7 ± 0.8 mm in the mild, moderate, and severe groups, respectively. There was a mean relapse of 1 to 1.5 mm observed in all groups. At T3, no statistically significant differences were observed between the surgical groups and controls at angle Sella, Nasion, A point (SNA), A point, Nasion, B point (ANB), and overjet outcome measures. Conclusions: LeFort I advancement produces a stable correction in mild, moderate, and severe skeletal maxillary hypoplasia. Overcorrection is recommended in all patients with CLP to compensate for the expected postsurgical skeletal relapse.


2021 ◽  
Author(s):  
Theresa Andrasfay ◽  
Noreen Goldman

COVID-19 had a huge mortality impact in the US in 2020 and accounted for the majority of the 1.5-year reduction in 2020 life expectancy at birth. There were also substantial racial/ethnic disparities in the mortality impact of COVID-19 in 2020, with the Black and Latino populations experiencing reductions in life expectancy at birth over twice the reduction experienced by the White population. Despite continued vulnerability of the Black and Latino populations, the hope was that widespread distribution of effective vaccines would mitigate the overall impact and reduce racial/ethnic disparities in 2021. In this study, we use cause-deleted life table methods to estimate the impact of COVID-19 mortality on 2021 US period life expectancy. Our partial-year estimates, based on provisional COVID-19 deaths for January-early October 2021 suggest that racial/ethnic disparities have persisted and that life expectancy at birth in 2021 has already declined by 1.2 years from pre-pandemic levels. Our projected full-year estimates, based on projections of COVID-19 deaths through the end of 2021 from the Institute for Health Metrics and Evaluation, suggest a 1.8-year reduction in US life expectancy at birth from pre-pandemic levels, a steeper decline than the estimates produced for 2020. The reductions in life expectancy at birth estimated for the Black and Latino populations are 1.6-2.4 times the impact for the White population.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 213.1-214
Author(s):  
H. J. Dykhoff ◽  
E. Myasoedova ◽  
M. Peterson ◽  
J. M. Davis ◽  
V. Kronzer ◽  
...  

Background:Patients with rheumatoid arthritis (RA) have an increased burden of multimorbidity. Racial/ethnic disparities have also been associated with an increased burden of multimorbidity.Objectives:We aimed to compare multimorbidity among different racial/ethnic groups and geographic regions of the US in patients with RA and comparators without RA.Methods:We used a large longitudinal, real-world data warehouse with de-identified administrative claims for commercial and Medicare Advantage enrollees, to identify cases of RA and matched controls. Cases were defined as patients aged ≥18 years with ≥2 diagnoses of RA in January 1, 2010 - June 30, 2019 and ≥1 prescription fill for methotrexate in the year after the first RA diagnosis. Controls were persons without RA matched 1:1 to RA cases on age, sex, census region, calendar year of index date (corresponding to the date of second diagnosis code for RA), and length of prior medical/pharmacy coverage. Race was classified as non-Hispanic White (White), non-Hispanic Black (Black), Asian, Hispanic, or other/unknown, based on self-report or derived rule sets. Multimorbidity (2 or more comorbidities) was defined using 25 chronic comorbidities from a combination of the Charlson and Elixhauser Comorbidity Indices assessed during the year prior to index date. Rheumatic comorbidities were not included. Logistic regression models were used to estimate odds ratios (OR) with 95% confidence intervals (CI).Results:The study included 16,363 cases with RA and 16,363 matched non-RA comparators (mean age 58.2 years, 70.7% female for both cohorts). Geographic regions were the same in both cohorts: 50% South, 26% Midwest, 13% West, and 11% Northeast. Race/ethnicity was not part of the matching criteria and varied slightly between the cohorts: among RA (non-RA) patients, 74% (74%) were White, 11% (9%) Hispanic, 10% (9%) Black, 3% (4%) Asian, and 3% (4%) other/unknown. Patients with RA had more multimorbidity than non-RA subjects (51.3% vs 44.8%). Multimorbidity comparisons across US geographic regions were similar in both cohorts, with comparable multimorbidity levels for patients in the West and Midwest and higher levels for those in the Northeast and South (Figure 1). Among the non-RA patients, 43.5% of Whites experienced multimorbidity, compared to 33.9% of Asians, 46.1% of Hispanics, and 58.4% of Blacks. These associations remained after adjustment for age, sex, and geographic region, with significantly lower multimorbidity among Asians (OR: 0.81; 95%CI: 0.67-0.99) and significantly higher multimorbidity among Hispanics (OR: 1.21; 95%CI: 1.07-1.37) and Blacks (OR: 1.74; 95%CI: 1.54-1.97), compared to Whites in the non-RA cohort. Among the RA patients, racial/ethnic differences were less pronounced; 50.6% of Whites, 42.8% of Asians, 48.8% of Hispanics, and 58.4% of Blacks experienced multimorbidity. Adjusted analyses revealed no significant differences in multimorbidity for Asians (OR: 0.88; 95%CI: 0.70-1.08) and Hispanics (OR: 1.06; 95%CI: 0.95-1.19) and a less pronounced increase in multimorbidity among Blacks (OR: 1.32; 95%CI: 1.17-1.49) compared to Whites in the RA cohort.Conclusion:This large nationwide study showed increased occurrence of multimorbidity in RA versus non-RA patients and in both cohorts for residents of the Northeast and South regions of the US. Racial/ethnic disparities in multimorbidity were more pronounced among patients without RA compared to RA patients. This indicates the effects of RA and race/ethnicity on multimorbidity do not aggregate. The underlying mechanisms for these associations require further investigation.Figure 1.Logistic regression models comparing multimorbidity levels in RA and non-RA cohorts.Disclosure of Interests:Hayley J. Dykhoff: None declared, Elena Myasoedova: None declared, Madeline Peterson: None declared, John M Davis III Grant/research support from: Research grant from Pfizer, Vanessa Kronzer: None declared, Caitrin Coffey: None declared, Tina Gunderson: None declared, Cynthia S. Crowson: None declared.


Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Eric Stulberg ◽  
Erica Twardzik ◽  
Chia-Wei Hsu ◽  
Sehee Kim ◽  
Philippa Clarke ◽  
...  

Introduction: Neighborhoods may influence post-stroke recovery. We examined the association between neighborhood socioeconomic status (nSES) and 90-day post-stroke function, depression, cognition, and quality of life (QoL). Methods: Stroke survivors (N=782) were identified from the population-based Brain Attack Surveillance in Corpus Christi (BASIC) Project. An nSES index – composite of 2010 census-tract level income, wealth, education, employment – was the exposure; higher values indicate higher nSES (median -4.56; IQR: -7.48 to -0.46). Function was measured with 22 self-reported activities of daily living/instrumental activities of daily living, depression with Patient Health Questionnaire-8, QoL with the Stroke Specific QoL Scale, and cognition with the Modified Mini Mental State Examination. Confounder-adjusted generalized estimating equations were used to estimate associations between nSES (comparing 75 th to 25 th percentile) and 90-day outcomes. We tested for effect modification by initial stroke severity (NIH Stroke Scale (NIHSS) ≤ 5 or >5) by including interaction terms in adjusted models. Results: Higher nSES was associated with significantly better function, better QoL, and less depression after adjusting for person-level confounders in those with NIHSS >5. Higher nSES was associated with better cognition, but this result was not significant. In those with NIHSS ≤5, higher nSES had a statistically significant (though attenuated) association with function and cognition. Conclusions: Future research should identify features of higher nSES neighborhoods that contribute to more favorable stroke outcomes. Our findings highlight the need for examining the individual and joint influence of neighborhood context and stroke severity on post-stroke recovery.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Judith H Lichtman ◽  
Erica C Leifheit-Limson ◽  
Yun Wang ◽  
Tatjana Rundek ◽  
Larry B Goldstein ◽  
...  

Background: Stroke hospitalizations in the US have declined over the last decade, but little is known about whether decreases are similar across racial/ethnic groups. We compared ischemic stroke hospitalization rates and geographic patterns across the US from 2001-2013 for elderly Hispanics, Blacks, Whites, and those of other race/ethnicity. Methods: Ischemic stroke hospitalizations (ICD-9 primary discharge codes 433, 434, 436) were identified among Medicare fee-for-service beneficiaries aged ≥65y in 2001-2003 and 2011-2013. National annualized rates for each period were calculated per 100,000 person-years (PY). A spatial mixed model with a Poisson link function and adjustment for age and sex was fit to calculate and map county-specific risk-standardized stroke hospitalization rates for each racial/ethnic group. Results: National annualized stroke hospitalization rates decreased by 15% between 2001-2003 and 2011-2013 (1298/100,000 PY to 1103/100,000 PY). County-level risk-standardized hospitalization rates varied across the US and among the four racial/ethnic groups (figure). Regardless of time period, Blacks had the highest rates, followed by Whites, Hispanics, and other races. The absolute and relative declines in risk-standardized hospitalization rates were smallest for Hispanics (173/100,000 PY; 15%) and Blacks (196/100,000 PY; 12%) compared to Whites (243/100,000 PY; 19%) and other races (273/100,000 PY; 33%). Conclusions: Although national hospitalization rates for ischemic stroke among those aged ≥65y decreased between 2001 and 2013, the decline varied by race/ethnicity, with persistent disparities between groups. Despite the declines in US stroke hospitalizations, these racial/ethnic differences call for greater prioritization of prevention intervention programs to reduce stroke disparities. AHA/ASA efforts to expand stroke systems of care also need to address these disparities.


2020 ◽  
Vol 4 (s1) ◽  
pp. 71-71
Author(s):  
Amanda Vatinno ◽  
Viswanathan Ramakrishnan ◽  
Annie Simpson ◽  
Heather Bonilha ◽  
Na Jin Seo

OBJECTIVES/GOALS: The objective of this study is to perform a systematic review and meta-analysis on the prognostic utility of electroencephalography (EEG) in stroke recovery. METHODS/STUDY POPULATION: A literature search was conducted using three electronic databases, including PubMed, Scopus, and CINAHL. Key search terms were “EEG,” “stroke,” and “rehabilitation”. Only peer-reviewed journal articles published in English that examined the relationship between EEG and a standardized clinical outcome measure(s) at a later time in stroke patients were included. Two independent raters completed data extraction and assessed methodological quality of the studies with the Downs and Black form. A linear meta-regression was performed across subsets of individual studies that utilized a common clinical outcome measure to determine the association between EEG and clinical outcome while adjusting for sample size and study quality. RESULTS/ANTICIPATED RESULTS: 56 papers met the inclusion criteria and were included in the systematic review. The prognostic value of EEG was evidenced at both the acute and chronic stages of stroke. The addition of EEG enhanced prognostic accuracy more than initial clinical assessment scores and/or lesion volume alone. In the meta-analysis, a subset of 10 papers that utilized the National Institutes of Health Stroke Scale (NIHSS) and a subset of 7 papers that utilized the Modified Rankin Scale (MRS) were included. Analysis demonstrated an association between EEG and the subsequent clinical outcome measures. DISCUSSION/SIGNIFICANCE OF IMPACT: Currently, prognosis is largely based on initial behavioral impairment level. However, post-stroke recovery outcomes are heterogeneous despite similar initial clinical presentations. Uncertain prognosis makes it difficult for clinicians to develop personalized treatment plans for patients. Improved prognosis for recovery may guide clinical management for stroke survivors by helping clinicians determine the maximally efficient course of treatment and care. This study suggests that prognostic accuracy may be enhanced using EEG.


2020 ◽  
Vol 30 (2) ◽  
pp. 339-348
Author(s):  
Joy N. J. Buie ◽  
Yujing Zhao ◽  
Suzanne Burns ◽  
Gayenell Magwood ◽  
Robert Adams ◽  
...  

Background and Purpose: Blacks have a higher burden of post-stroke disability. Factors associated with racial differences in long-term post-stroke disability are not well-understood. Our aim was to assess the long-term racial differences in risk factors associated with stroke recovery.Methods: We examined Health and Retire­ment Study (HRS) longitudinal interview data collected from adults living with stroke who were aged >50 years during 2000- 2014. Analysis of 1,002 first-time, non- Hispanic, Black (210) or White (792) stroke survivors with data on activities of daily liv­ing (ADL), fine motor skills (FMS) and gross motor skills (GMS) was conducted. Ordinal regression analysis was used to assess the impact of sex, race, household residents, household income, comorbidities, and the time since having a stroke on functional outcomes.Results: Black stroke survivors were young­er compared with Whites (69 ± 10.4 vs 75 ± 11.9). The majority (~65%) of Black stroke survivors were female compared with about 54% White female stroke survivors (P=.007). Black stroke survivors had more household residents (P<.001) and comor­bidities (P<.001). Aging, being female, being Black and a longer time since stroke were associated with a higher odds of hav­ing increased difficulty in ADL, FMS and/or GMS. Comorbidities were associated with increased difficulty with GMS. Black race increased the impact of comorbidities on ADL and FMS in comparison with Whites.Conclusion: Our data suggest that the effects of aging, sex and unique factors associated with race should be taken into consideration for future studies of post-stroke recovery and therapy.Ethn Dis. 2020;30(2):339-348; doi:10.18865/ ed.30.2.339


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 206-207
Author(s):  
Huabin Luo ◽  
Frank Sloan ◽  
Brenda Plassman ◽  
Samrachana Adhikari ◽  
Mark Schwartz ◽  
...  

Abstract This study examined the relationships between the concomitance of diabetes mellitus (DM) and edentulism and mortality among Black, Hispanic, and White older adults in the US. We used data from the 2006-2016 Health and Retirement Study with 2,108 Black, 1,331 Hispanic, and 11,544 White respondents aged 50+. Results of weighted Cox proportional hazards models showed that the concomitance of DM and edentulism was associated with a higher mortality risk for Blacks (Hazard Ratio [HR] = 1.58, p &lt; 0.01), Hispanics (HR = 2.16, p &lt; 0.001) and Whites (HR = 1.61, p &lt; 0.001). Findings also indicated that DM was a risk factor for mortality across all racial/ethnic groups, but edentulism was a risk factor only for Whites (HR = 1.30, p &lt; 0.001). This study revealed that the risk of DM and edentulism on mortality varied among racial/ethnic groups. Our study gives alternative explanations for the observed findings.


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