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Rosal MC, Almodóvar-Rivera I, Person SD, López-Cepero A, Kiefe CI, Tucker KL, Uribe-Jerez M, Rodríguez-Orengo J, Pérez CM. Psychological and socio-economic correlates of cardiovascular health among young adults in Puerto Rico. Am J Prev Cardiol 2024; 20:100875. [PMID: 39398440 PMCID: PMC11466558 DOI: 10.1016/j.ajpc.2024.100875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 09/12/2024] [Accepted: 09/23/2024] [Indexed: 10/15/2024] Open
Abstract
Objective We aimed to determine the relationship between socioeconomic and psychological factors and overall cardiovascular health (CVH), as defined by the American Heart Association's Life's Essential 8 (LE8), among young adults in Puerto Rico. Methods Participants were 2156 young adults, between the ages of 18-29 years, enrolled in the PR-OUTLOOK study. The analysis included survey, laboratory, and physical measurement data collected from September 2020 to November 2023. Assessed socioeconomic indicators included food insecurity, housing instability, economic insecurity, and subjective social standing. Evaluated psychological factors comprised symptoms of depression, anxiety, post-traumatic stress, and overall perceived stress. LE8 scores were calculated and classified as suboptimal (poor/intermediate range) vs. ideal CVH. Logistic regression models estimated associations between each socioeconomic and psychological measure and suboptimal CVH, and dominance analysis assessed the importance of each measure. Results Participants' mean age was 22.6 (SD = 3.1), 60.9 % were female, about one-third (34.2 %) had high school education or less, and over one-third had public or no health insurance (38.4 %). Participants reporting socioeconomic adversity (i.e., high food insecurity, housing instability and economic insecurity, and low subjective social standing) and elevated psychological symptoms (i.e., symptoms of anxiety, depression, post-traumatic stress, and overall perceived stress) had lower CVH scores. However, in the adjusted analysis, only lower subjective social standing (OR = 1.38, 95 % CI = 1.13-1.69) and elevated symptoms of anxiety (OR = 1.63, 95 % CI = 1.25-2.13) and depression (OR = 1.30, 95 % CI = 1.03-1.65) emerged as the primary contributors to suboptimal CVH (vs. ideal). Conclusion Efforts to preserve and enhance CVH among young Puerto Ricans on the island should target these factors.
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Affiliation(s)
- Milagros C. Rosal
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Office of Health Equity, 55 Lake Avenue N, S2-106, Worcester, MA, USA
| | - Israel Almodóvar-Rivera
- Department of Mathematical Sciences, College of Arts and Sciences, Mayaguez Campus, University of Puerto Rico, Mayaguez, PR, USA
| | - Sharina D. Person
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Office of Health Equity, 55 Lake Avenue N, S2-106, Worcester, MA, USA
| | | | - Catarina I. Kiefe
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Office of Health Equity, 55 Lake Avenue N, S2-106, Worcester, MA, USA
| | - Katherine L. Tucker
- Department of Biomedical and Nutritional Sciences, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Maria Uribe-Jerez
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Office of Health Equity, 55 Lake Avenue N, S2-106, Worcester, MA, USA
| | - José Rodríguez-Orengo
- Fundación de Investigación (FDI) Clinical Research, San Juan, PR, USA
- Department of Biochemistry, School of Medicine, University of Puerto Rico, San Juan, PR, USA
| | - Cynthia M. Pérez
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA
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Freburger JK, Mormer ER, Ressel K, Zhang S, Johnson AM, Pastva AM, Turner RL, Coyle PC, Bushnell CD, Duncan PW, Berkeley SBJ. Disparities in Access to, Use of, and Quality of Rehabilitation Following Stroke in the United States: A Scoping Review. Arch Phys Med Rehabil 2024:S0003-9993(24)01314-5. [PMID: 39491577 DOI: 10.1016/j.apmr.2024.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 09/10/2024] [Accepted: 10/14/2024] [Indexed: 11/05/2024]
Abstract
OBJECTIVES To summarize current reports in the literature on disparities in rehabilitation following stroke; identify gaps in our understanding of rehabilitation disparities; and make recommendations for future research. DATA SOURCES A Health Sciences librarian developed a search string based on an a priori protocol and searched MEDLINE (Ovid) Embase (Elsevier), and the Cumulative Index to Nursing and Allied Health Literature (CINAHL, EBSCO). STUDY SELECTION A two-step screening process of titles and abstracts followed by full-text review was conducted. Primary observational studies conducted in the United States that reported on disparities in rehabilitation (i.e., physical, occupational, or speech therapy) among adults following stroke were retained. Eligible disparity populations included racial minorities; ethnic minorities; sex and gender minorities; older population; socioeconomically disadvantaged populations; and geographic minorities (inner city/rural). DATA EXTRACTION Data extracted from retained articles included: aims/objectives; data source; sample characteristics, rehabilitation outcomes examined; types of disparities examined; statistical methods used; and disparity findings. DATA SYNTHESIS 7,853 titles and abstracts were screened, and 473 articles underwent full-text review. 49 articles were included for data extraction and analysis. Many articles examined more than one disparity type with most examining disparities in race and/or ethnicity (n=43, 87.7%), followed by sex (n=25, 53.0%), age (n=23, 46.9%), socioeconomic status (n=22, 44.9%), and urban/rural status (n=8, 16.3%). Articles varied widely by sample characteristics, data sources, rehabilitation outcomes, and methods of examining disparities. CONCLUSIONS While we found some consistent evidence of disparities in rehabilitation for older individuals, non-White races, and individuals of lower socioeconomic status, the variability in methods made synthesis of findings challenging. Further work, including additional well-designed studies and systematic reviews and/or meta-analyses of current studies are needed to better understand the extent of rehabilitation disparities following stroke.
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Affiliation(s)
- Janet K Freburger
- Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh.
| | - Elizabeth R Mormer
- Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh
| | - Kristin Ressel
- Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh
| | - Shuqi Zhang
- Department of Epidemiology, University of North Carolina at Chapel Hill, Gillings School of Global Public Health
| | - Anna M Johnson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Gillings School of Global Public Health
| | - Amy M Pastva
- Department of Orthopaedic Surgery, Doctor of Physical Therapy Division, Center for the Study of Aging and Human Development, Duke University School of Medicine
| | - Rose L Turner
- Health Sciences Library System, University of Pittsburgh
| | - Peter C Coyle
- Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh
| | | | | | - Sara B Jones Berkeley
- Department of Epidemiology, University of North Carolina at Chapel Hill, Gillings School of Global Public Health
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Bishop L, Brown SC, Gardener HE, Bustillo AJ, George DA, Gordon Perue G, Johnson KH, Kirk-Sanchez N, Asdaghi N, Gutierrez CM, Rundek T, Romano JG. The association between social networks and functional recovery after stroke. Int J Stroke 2024:17474930241283167. [PMID: 39215634 DOI: 10.1177/17474930241283167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
BACKGROUND AND PURPOSE Social determinants of health (SDOH), including social networks, impact disability and quality of life post-stroke, yet the direct influence of SDOH on functional change remains undetermined. We aimed to identify which SDOH predict change on the modified Rankin Scale (mRS) within 90 days after stroke hospitalization. METHODS Stroke patients from the Transitions of Care Stroke Disparities Study (TCSDS) were enrolled from 12 hospitals in the Florida Stroke Registry. TCSDS aims to identify disparities in hospital-to-home transitions after stroke. SDOH were collected by trained interviewers at hospital discharge. The mRS was assessed at discharge, 30- and 90-day post-stroke. Multinomial logistic regression models examined contributions of each SDOH to mRS improvement or worsening (compared to no change) from discharge to 30- and 90-day, respectively. RESULTS Of 1190 participants, median age was 64 years, 42% were women, 52% were non-Hispanic White, and 91% had an ischemic stroke. Those with a limited social support network had greater odds of functional decline at 30 days (aOR = 1.39, 1.17-1.66), adjusting for age and onset to arrival time and at 90 days (aOR = 1.50, 1.10-2.05) after adjusting for age. Results were consistent after further adjustment for additional SDOH and participant characteristics. Individuals living with a spouse/partner had reduced odds of functional decline at 90 days (aOR = 0.74, 0.57-0.98); however, results were inconsistent with more conservative modeling approaches. CONCLUSION The findings highlight the importance of SDOH, specifically having a greater number of individuals in your social network in functional recovery after stroke.
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Affiliation(s)
- Lauri Bishop
- Department of Physical Therapy, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Scott C Brown
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Hannah E Gardener
- Department of Neurology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Antonio J Bustillo
- Department of Neurology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - D Akeim George
- Department of Neurology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Gillian Gordon Perue
- Department of Neurology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Karlon H Johnson
- Department of Epidemiology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Neva Kirk-Sanchez
- Department of Physical Therapy, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Negar Asdaghi
- Department of Neurology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Carolina M Gutierrez
- Department of Neurology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
| | - Jose G Romano
- Department of Neurology, Miller School of Medicine, University of Miami, Coral Gables, FL, USA
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4
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Hum B, Taneja K, Bunachita S, Ashor H, Shin J, Bright A, Wang R, Patel K. Unveiling the evolving landscape of stroke care costs: A time-driven analysis. J Stroke Cerebrovasc Dis 2024; 33:107663. [PMID: 38432489 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 01/26/2024] [Accepted: 02/24/2024] [Indexed: 03/05/2024] Open
Abstract
INTRODUCTION Stroke is a common cause of mortality in the United States. However, the economic burden of stroke on the healthcare system is not well known. In this study, we aim to calculate the annual cumulative and per-patient cost of stroke. METHODS We conducted a retrospective analysis of Nationwide Emergency Department Sample (NEDS). We calculate annual trends in cost for stroke patients from 2006 to 2019. A multivariate linear regression with patient characteristics (e.g. age, sex, Charlson Comorbidity Index) as covariates was used to identify factors for higher costs. RESULTS In this study time-period, 2,998,237 stroke patients presented to the ED and 2,481,171 (83 %) were admitted. From 2006 to 2019, the cumulative ED cost increased by a factor of 7.0 from 0.49 ± 0.03 to 3.91 ± 0.16 billion dollars (p < 0.001). The cumulative inpatient (IP) cost increased by a factor of 2.7 from 14.42 ± 0.78 to 37.06 ± 2.26 billion dollars (p < 0.001. Per-patient ED charges increased by a factor of 3.0 from 1950 ± 64 to 7818 ± 260 dollars (p < 0.001). Per-patient IP charges increased by 89 % from 40.22 +/- 1.12 to 76.06 ± 3.18 thousand dollars (p < 0.001). CONCLUSION Strokes place an increasing financial burden on the US healthcare system. Certain patient demographics including age, male gender, more comorbidities, and insurance type were significantly associated with increased cost of care.
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Affiliation(s)
- Bill Hum
- Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States
| | - Kamil Taneja
- Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States
| | - Sean Bunachita
- Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Hadi Ashor
- Cooper Medical School of Rowan University, Camden, NJ, United States
| | - Jeeyong Shin
- Cooper Medical School of Rowan University, Camden, NJ, United States
| | - Anshel Bright
- Cooper Medical School of Rowan University, Camden, NJ, United States
| | - Ryan Wang
- Independent, Bethesda, MD,United States
| | - Karan Patel
- Cooper Medical School of Rowan University, Camden, NJ, United States.
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5
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Becker CJ, Lisabeth LD, Kwicklis M, Shi X, Chervin RD, Case E, Brown DL. Association between sleep-disordered breathing and post-stroke fatigue in patients with ischemic stroke. J Stroke Cerebrovasc Dis 2024; 33:107701. [PMID: 38561169 PMCID: PMC11088507 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 03/14/2024] [Accepted: 03/27/2024] [Indexed: 04/04/2024] Open
Abstract
OBJECTIVES Post-stroke fatigue (PSF) is common and often disabling. Sleep-disordered breathing (SDB) is highly prevalent among stroke survivors and can cause fatigue. We explored the relationship between SDB and PSF over time. MATERIALS AND METHODS Ischemic stroke (IS) patients within the BASIC project were offered SDB screening with a well-validated cardiopulmonary sleep apnea test at 0, 3-, 6-, and 12-months post-stroke. The primary exposure was the respiratory event index (REI; sum of apneas plus hypopneas per hour). The primary outcome was PSF, measured by the SF-36 vitality scale. Associations between REI and PSF were evaluated using linear regression including time-by-REI interactions, allowing the effect of REI to vary over time. RESULTS Of the 411 IS patients who completed at least one outcome interview, 44 % were female, 61 % Mexican American (MA), 26 % non-Hispanic white, with a mean age of 64 (SD 10). Averaged across timepoints, REI was not associated with PSF. In a time-varying model, higher REI was associated with greater PSF at 3-months (β = 1.75, CI = 0.08, 3.43), but not at 6- or 12-months. Across timepoints, female sex, depressive symptoms, and comorbidity burden were associated with greater PSF, whereas MA ethnicity was associated with less PSF. CONCLUSIONS Higher REI was associated with modestly greater PSF in the early post-stroke period, but no association was observed at 6 months and beyond. SDB may be a modest modifiable risk factor for early PSF, but its treatment is unlikely to have a substantial impact on long-term PSF. MA ethnicity seems to be protective against PSF.
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Affiliation(s)
| | - Lynda D Lisabeth
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Madeline Kwicklis
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Xu Shi
- Department of Biostatistics, School of Public Health, University of Michigan
| | - Ronald D Chervin
- Sleep Disorders Center and Department of Neurology, University of Michigan
| | - Erin Case
- Department of Neurology and Department of Epidemiology, School of Public Health, University of Michigan
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Farcas AM, Crowe RP, Kennel J, Little N, Haamid A, Camacho MA, Pleasant T, Owusu-Ansah S, Joiner AP, Tripp R, Kimbrell J, Grover JM, Ashford S, Burton B, Uribe J, Innes JC, Page DI, Taigman M, Dorsett M. Achieving Equity in EMS Care and Patient Outcomes Through Quality Management Systems: A Position Statement. PREHOSP EMERG CARE 2024; 28:871-881. [PMID: 38727731 DOI: 10.1080/10903127.2024.2352582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/16/2024] [Accepted: 04/29/2024] [Indexed: 05/18/2024]
Abstract
Improving health and safety in our communities requires deliberate focus and commitment to equity. Inequities are differences in access, treatment, and outcomes between individuals and across populations that are systemic, avoidable, and unjust. Within health care in general, and Emergency Medical Services (EMS) in particular, there are demonstrated inequities in the quality of care provided to patients based on a number of characteristics linked to discrimination, exclusion, or bias. Given the critical role that EMS plays within the health care system, it is imperative that EMS systems reduce inequities by delivering evidence-based, high-quality care for the communities and patients we serve. To achieve equity in EMS care delivery and patient outcomes, the National Association of EMS Physicians recommends that EMS systems and agencies:make health equity a strategic priority and commit to improving equity at all levels.assess and monitor clinical and safety quality measures through the lens of inequities as an integrated part of the quality management process.ensure that data elements are structured to enable equity analysis at every level and routinely evaluate data for limitations hindering equity analysis and improvement.involve patients and community stakeholders in determining data ownership and stewardship to ensure its ongoing evolution and fitness for use for measuring care inequities.address biases as they translate into the quality of care and standards of respect for patients.pursue equity through a framework rooted in the principles of improvement science.
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Affiliation(s)
- Andra M Farcas
- Department of Emergency Medicine, School of Medicine, University of Colorado, Aurora, Colorado
| | | | - Jamie Kennel
- Oregon Health & Science University and Oregon Institute of Technology, Portland, Oregon
| | | | - Ameera Haamid
- Section of Emergency Medicine, University of Chicago Medicine, Chicago, Illinois
| | - Mario Andres Camacho
- Department of Emergency Medicine, Denver Health Medical Center, School of Medicine, University of Colorado, Denver, Colorado
| | | | - Sylvia Owusu-Ansah
- Division of Pediatric Emergency Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Anjni P Joiner
- Department of Emergency Medicine, School of Medicine, Duke University, Durham, North Carolina
| | - Rickquel Tripp
- Department of Emergency Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Joshua Kimbrell
- Department of Pre-Hospital Care, Jamaica Hospital Medical Center, Jamaica, New York
| | - Joseph M Grover
- UNC Department of Emergency Medicine, Chapel Hill, North Carolina
| | | | - Brooke Burton
- Unified Fire Authority in Salt Lake County, Salt Lake City, Utah
| | - Jeffrey Uribe
- Department of Emergency Medicine, Medstar Health, Columbia, Maryland
| | - Johanna C Innes
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York
| | - David I Page
- Center for Prehospital Care, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | | | - Maia Dorsett
- Department of Emergency Medicine, University of Rochester Medical Center, Rochester, New York
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7
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Johnson KE, Li H, Zhang M, Springer MV, Galecki AT, Whitney RT, Gottesman RF, Hayward RA, Sidney S, Elkind MSV, Longstreth WT, Heckbert SR, Gerber Y, Sullivan KJ, Levine DA. Cumulative Systolic Blood Pressure and Incident Stroke Type Variation by Race and Ethnicity. JAMA Netw Open 2024; 7:e248502. [PMID: 38700866 PMCID: PMC11069082 DOI: 10.1001/jamanetworkopen.2024.8502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 02/28/2024] [Indexed: 05/06/2024] Open
Abstract
Importance Stroke risk varies by systolic blood pressure (SBP), race, and ethnicity. The association between cumulative mean SBP and incident stroke type is unclear, and whether this association differs by race and ethnicity remains unknown. Objective To examine the association between cumulative mean SBP and first incident stroke among 3 major stroke types-ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH)-and explore how these associations vary by race and ethnicity. Design, Setting, and Participants Individual participant data from 6 US longitudinal cohorts (January 1, 1971, to December 31, 2019) were pooled. The analysis was performed from January 1, 2022, to January 2, 2024. The median follow-up was 21.6 (IQR, 13.6-31.8) years. Exposure Time-dependent cumulative mean SBP. Main Outcomes and Measures The primary outcome was time from baseline visit to first incident stroke. Secondary outcomes consisted of time to first incident IS, ICH, and SAH. Results Among 40 016 participants, 38 167 who were 18 years or older at baseline with no history of stroke and at least 1 SBP measurement before the first incident stroke were included in the analysis. Of these, 54.0% were women; 25.0% were Black, 8.9% were Hispanic of any race, and 66.2% were White. The mean (SD) age at baseline was 53.4 (17.0) years and the mean (SD) SBP at baseline was 136.9 (20.4) mm Hg. A 10-mm Hg higher cumulative mean SBP was associated with a higher risk of overall stroke (hazard ratio [HR], 1.20 [95% CI, 1.18-1.23]), IS (HR, 1.20 [95% CI, 1.17-1.22]), and ICH (HR, 1.31 [95% CI, 1.25-1.38]) but not SAH (HR, 1.13 [95% CI, 0.99-1.29]; P = .06). Compared with White participants, Black participants had a higher risk of IS (HR, 1.20 [95% CI, 1.09-1.33]) and ICH (HR, 1.67 [95% CI, 1.30-2.13]) and Hispanic participants of any race had a higher risk of SAH (HR, 3.81 [95% CI, 1.29-11.22]). There was no consistent evidence that race and ethnicity modified the association of cumulative mean SBP with first incident stroke and stroke type. Conclusions and Relevance The findings of this cohort study suggest that cumulative mean SBP was associated with incident stroke type, but the associations did not differ by race and ethnicity. Culturally informed stroke prevention programs should address modifiable risk factors such as SBP along with social determinants of health and structural inequities in society.
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Affiliation(s)
- Kimson E. Johnson
- Department of Health Management and Policy, University of Michigan, Ann Arbor
- Department of Sociology, University of Michigan, Ann Arbor
| | - Hanyu Li
- Department of Biostatistics, University of Michigan, Ann Arbor
| | - Min Zhang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | | | - Andrzej T. Galecki
- Department of Biostatistics, University of Michigan, Ann Arbor
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
| | - Rachael T. Whitney
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
| | - Rebecca F. Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Rodney A. Hayward
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Mitchell S. V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - W. T. Longstreth
- Department of Epidemiology, University of Washington, Seattle
- Department of Neurology, University of Washington, Seattle
| | | | - Yariv Gerber
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Lilian and Marcel Pollak Chair in Biological Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Kevin J. Sullivan
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Deborah A. Levine
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Department of Neurology and Stroke Program, University of Michigan, Ann Arbor
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8
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Chavez AA, Simmonds KP, Venkatachalam AM, Ifejika NL. Health Care Disparities in Stroke Rehabilitation. Phys Med Rehabil Clin N Am 2024; 35:293-303. [PMID: 38514219 DOI: 10.1016/j.pmr.2023.06.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Stroke outcomes are influenced by factors such as education, lifestyle, and access to care, which determine the extent of functional recovery. Disparities in stroke rehabilitation research have traditionally included age, race/ethnicity, and sex, but other areas make up a gap in the literature. This article conducted a literature review of original research articles published between 2008 and 2022. The article also expands on research that highlights stroke disparities in risk factors, rehabilitative stroke care, language barriers, outcomes for stroke survivors, and interventions focused on rehabilitative stroke disparities.
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Affiliation(s)
- Audrie A Chavez
- Brain Injury Medicine Fellow, Spaulding Rehabilitation, Harvard University, Cambridge, MA, USA
| | - Kent P Simmonds
- Department of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Nneka L Ifejika
- Department of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, Dallas, TX, USA; Department of Neurology, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Stop 9055, Dallas, TX 75390-9055, USA.
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9
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Cui DY, Zhang C, Chen Y, Qian GZ, Zheng WX, Zhang ZH, Zhang Y, Zhu P. Associations between non-insulin-based insulin resistance indices and heart failure prevalence in overweight/obesity adults without diabetes mellitus: evidence from the NHANES 2001-2018. Lipids Health Dis 2024; 23:123. [PMID: 38678275 PMCID: PMC11055335 DOI: 10.1186/s12944-024-02114-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 04/18/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND The triglyceride glucose (TyG) index and triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio are recognized as simple non-insulin-based insulin resistance indices. Our study aimed to explore the relationship between these two indicators and heart failure (HF) in overweight or obesity individuals without diabetes. METHODS This cross-sectional study selected 13,473 participants from the National Health and Nutrition Examination Survey (NHANES) 2001-2018 dataset. Weighted multivariable logistic regression and subgroup analysis were employed to evaluate the relationships between TyG index, TG/HDL-C ratio, and HF prevalence, respectively. Additionally, smooth curve fitting was utilized to analyze the dose-response relationships. RESULTS A total of 13,473 obesity or overweight people without diabetes were included in this study through screening, among whom 291 (2.16%) had comorbid HF. The results of multivariable logistic regression suggested that the highest TyG index (OR = 2.4, 95% CI = 1.4-4.2, p = 0.002) and the highest TG/HDL-C ratio (OR = 1.2, 95% CI = 1.1-1.3, p < 0.001) both increased the prevalence of HF, especially in the non-Hispanic population. Dose-response relationships suggested nonlinear relationships between these two indicators and HF. CONCLUSION Our study demonstrated that elevated TyG index and TG/HDL-C ratio were closely associated with the prevalence of HF, and both exhibited nonlinear relationships with HF prevalence in overweight/obesity adults without diabetes. Based on these findings, additional prospective studies are needed for further validation.
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Affiliation(s)
- Di-Yu Cui
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Chao Zhang
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Yi Chen
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Gang-Zhen Qian
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Wan-Xiang Zheng
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Zhi-Hui Zhang
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
| | - Yu Zhang
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
| | - Ping Zhu
- Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
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10
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Nanavati HD, Andrabi M, Arevalo YA, Liu E, Shen J, Lin C. Disparities in Race and Ethnicity Reporting and Representation for Clinical Trials in Stroke: 2010 to 2020. J Am Heart Assoc 2024; 13:e033467. [PMID: 38456461 PMCID: PMC11010007 DOI: 10.1161/jaha.123.033467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/16/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Racial and ethnic minority groups are at a higher stroke risk and have poor poststroke outcomes. The aim of this study was to assess the frequency of race reporting and proportions of race and ethnicity representation in stroke-related clinical trials. METHODS AND RESULTS This is a descriptive study of stroke-related clinical trials completed between January 1, 2010 and December 31, 2020, and registered on ClinicalTrials.gov. Trials conducted in the United States, related to stroke and enrolling participants ≥18 years, were considered eligible. Trials were reviewed for availability of published results, data on race and ethnicity distribution, and trial characteristics. Overall, 60.1% of published trials reported race or ethnicity of participants, with a 2.6-fold increase in reporting between 2010 and 2020. White patients represented 65.0% of the participants, followed by 24.8% Black, 2.4% Asian or Pacific Islander, and <1% Native American and multiracial participants; 9.0% were of Hispanic ethnicity. These trends remained consistent throughout the study period, except in 2018, when a higher proportion of Black participants (53.1%) was enrolled compared with White participants (35.8%). Trials with the National Institutes of Health/federal funding had higher enrollment of Black (28.1%) and Hispanic (13.8%) participants compared with other funding sources. Behavioral intervention trials had the most diverse enrollment with equal enrollment of Black and White participants (41.1%) and 14.5% Hispanic participants. CONCLUSIONS Despite the increase in race and ethnicity reporting between 2010 and 2020, the representation of racial and ethnic minority groups remains low in stroke trials. Funding initiatives may influence diversity efforts in trial enrollment.
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Affiliation(s)
- Hely D. Nanavati
- Department of EpidemiologyThe University of Alabama at BirminghamBirminghamAL
| | - Mudasir Andrabi
- Capstone College of NursingThe University of AlabamaTuscaloosaAL
| | - Yurany A. Arevalo
- Department of NeurologyThe University of Alabama at BirminghamBirminghamAL
| | - Evan Liu
- Heersink School of MedicineThe University of Alabama at BirminghamBirminghamAL
| | - Jeffrey Shen
- Department of RheumatologyDuke UniversityDurhamNC
| | - Chen Lin
- Department of NeurologyThe University of Alabama at BirminghamBirminghamAL
- Birmingham VA Medical CenterBirminghamAL
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11
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Becerril-Gaitan A, Ding D, Ironside N, Southerland AM, Worrall BB, Testai FD, Flaherty ML, Elkind MS, Koch S, Sung G, Kittner SJ, Mayson DJ, Gonzales N, McCauley JL, Malkoff M, Hall CE, Frankel MR, James ML, Anderson CD, Aronowski J, Savitz SI, Woo D, Chen CJ. Association Between Body Mass Index and Functional Outcomes in Patients With Intracerebral Hemorrhage. Neurology 2024; 102:e208014. [PMID: 38165334 PMCID: PMC10870743 DOI: 10.1212/wnl.0000000000208014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/13/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Evidence of the so-called "obesity paradox," which refers to the protective effect and survival benefit of obesity in patients with spontaneous intracerebral hemorrhage (ICH), remains controversial. This study aims to determine the association between body mass index (BMI) and functional outcomes in patients with ICH and whether it is modified by race/ethnicity. METHODS Included individuals were derived from the Ethnic/Racial Variations of Intracerebral Hemorrhage study, which prospectively recruited 1,000 non-Hispanic White, 1,000 non-Hispanic Black, and 1,000 Hispanic patients with spontaneous ICH. Only patients with available BMI were included. The primary outcome was 90-day mortality. Secondary outcomes were mortality at discharge, modified Rankin Scale (mRS), Barthel Index, and self-reported health status measures at 90 days. Associations between BMI and ICH outcomes were assessed using univariable and multivariable logistic, ordinal, and linear regression models, as appropriate. Sensitivity analyses after excluding frail patients and by patient race/ethnicity were performed. RESULTS A total of 2,841 patients with ICH were included. The median age was 60 years (interquartile range 51-73). Most patients were overweight (n = 943; 33.2%) or obese (n = 1,032; 36.3%). After adjusting for covariates, 90-day mortality was significantly lower among overweight and obese patients than their normal weight counterparts (adjusted odds ratio [aOR] = 0.71 [0.52-0.98] and aOR = 0.70 [0.50-0.97], respectively). Compared with patients with BMI <25 kg/m2, those with BMI ≥25 kg/m2 had better 90-day mRS (aOR = 0.80 [CI 0.67-0.95]), EuroQoL Group 5-Dimension (EQ-5D) (aβ = 0.05 [0.01-0.08]), and EQ-5D VAS (aβ = 3.80 [0.80-6.98]) scores. These differences persisted after excluding withdrawal of care patients. There was an inverse relationship between BMI and 90-day mortality (aOR = 0.97 [0.96-0.99]). Although non-Hispanic White patients had significantly higher 90-day mortality than non-Hispanic Black and Hispanic (26.6% vs 19.5% vs 18.0%, respectively; p < 0.001), no significant interactions were found between BMI and race/ethnicity. No significant interactions between BMI and age or sex for 90-day mortality were found, whereas for 90-day mRS, there was a significant interaction with age (pinteraction = 0.004). CONCLUSION We demonstrated that a higher BMI is associated with decreased mortality, improved functional outcomes, and better self-reported health status at 90 days, thus supporting the paradoxical role of obesity in patients with ICH. The beneficial effect of high BMI does not seem to be modified by race/ethnicity or sex, whereas age may play a significant role in patient functional outcomes.
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Affiliation(s)
- Andrea Becerril-Gaitan
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Dale Ding
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Natasha Ironside
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Andrew M Southerland
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Bradford B Worrall
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Fernando D Testai
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Matthew L Flaherty
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Mitchell S Elkind
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Sebastian Koch
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Gene Sung
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Steven J Kittner
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Douglas J Mayson
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Nicole Gonzales
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Jacob L McCauley
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Marc Malkoff
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Christiana E Hall
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Michael R Frankel
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Michael L James
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Christopher D Anderson
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Jaroslaw Aronowski
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Sean I Savitz
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Daniel Woo
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Ching-Jen Chen
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
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Morgenstern LB, Springer MV, Porter NC, Kwicklis M, Carrera JF, Sozener CB, Campbell MS, Hijazi I, Lisabeth LD. Black Americans have worse stroke outcome compared with non-Hispanic whites. J Natl Med Assoc 2023; 115:509-515. [PMID: 37634970 PMCID: PMC10591825 DOI: 10.1016/j.jnma.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/23/2023] [Accepted: 08/14/2023] [Indexed: 08/29/2023]
Abstract
INTRODUCTION We studied racial differences in post-stroke outcomes using a prospective, population-based cohort of stroke survivors as part of the Brain Attack Surveillance in Corpus Christi (BASIC) project. METHODS Neurologic (NIHSS, range of 0-42, higher scores are worse), functional (ADLs/IADLs, range 1-4, higher scores are worse), and cognitive (3MSE, range 0-100, higher scores are better) outcomes were measured 90 days after stroke. Cox proportional hazards and negative binomial linear regression models were used to examine the associations between race and 90-day all-cause mortality and NIHSS, respectively, whereas linear regression was used for ADLs/IADLs and 3MSE scores. Covariates included demographics, initial NIHSS, comorbidities, prior stroke history, tPA treatment status, pre-stroke disability, and pre-stroke cognition. The mortality model was also adjusted for DNR status. RESULTS At 90 days post-stroke, Black American individuals (BAs) (n = 122) had a median (IQR) NIHSS of 2 (1,6) compared to NIHSS of 1 (0,3) in non-Hispanic White American individuals (NHWs) (n = 795). BAs had a median (IQR) ADL/IADL score of 2.41 (1.50, 3.39) compared to 2.00 (1.27, 2.95) in NHWs. BAs scored a median of 84 (75, 92) on the 3MSE compared to NHWs' score of 91.5 (83, 96). Death occurred in 23 (8%) of BAs and 268 (15%) of NHWs within 90 days among those who participated in baseline. After adjustment for covariates, functional outcomes at 90 days were worse in BAs compared to NHWs, with 15.8% (95% CI=5.2, 26.4) greater limitations in ADLs/IADLs and 43.9% (95% CI=12.0, 84.9) greater severity of stroke symptoms. Cognition at 90 days was 6.5% (95% CI=2.4, 10.6) lower in BAs compared to NHWs. BAs had a 35.4% lower (95% CI=-9.8, 61.9) hazard rate of mortality than NHWs. CONCLUSIONS In this prospective, population-based community sample, BAs had worse neurologic, functional and cognitive outcomes at 90 days compared to NHWs. Future research should investigate how social determinants of health including structural racism, neighborhood factors and access to preventive and recovery services influences these racial disparities.
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Affiliation(s)
- Lewis B Morgenstern
- Department of Neurology, University of Michigan Medical School, Ann Arbor; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor; Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor.
| | | | - Neil C Porter
- Department of Neurology, University of Maryland, Baltimore
| | - Madeline Kwicklis
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Joseph F Carrera
- Department of Neurology, University of Michigan Medical School, Ann Arbor
| | - Cemal B Sozener
- Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor
| | - Morgan S Campbell
- CHRISTUS Spohn Hospitals, CHRISTUS Health system, Corpus Christi, Texas
| | - Imadeddin Hijazi
- Department of Neurology, University of Michigan Medical School, Ann Arbor
| | - Lynda D Lisabeth
- Department of Neurology, University of Michigan Medical School, Ann Arbor; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
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Trifan G, Gallo LC, Lamar M, Garcia-Bedoya O, Perreira KM, Pirzada A, Talavera GA, Smoller SW, Isasi CR, Cai J, Daviglus ML, Testai FD. Association of Unfavorable Social Determinants of Health With Stroke/Transient Ischemic Attack and Vascular Risk Factors in Hispanic/Latino Adults: Results From Hispanic Community Health Study/Study of Latinos. J Stroke 2023; 25:361-370. [PMID: 37554075 PMCID: PMC10574305 DOI: 10.5853/jos.2023.00626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND AND PURPOSE Social determinants of health (SDOH) are non-medical factors that may contribute to the development of diseases, with a higher representation in underserved populations. Our objective is to determine the association of unfavorable SDOH with self-reported stroke/transient ischemic attack (TIA) and vascular risk factors (VRFs) among Hispanic/Latino adults living in the US. METHODS We used cross-sectional data from the Hispanic Community Health Study/Study of Latinos. SDOH and VRFs were assessed using questionnaires and validated scales and measurements. We investigated the association between the SDOH (individually and as count: ≤1, 2, 3, 4, or ≥5 SDOH), VRFs and stroke/TIA using regression analyses. RESULTS For individuals with stroke/TIA (n=388), the mean age (58.9 years) differed from those without stroke/TIA (n=11,210; 46.8 years; P<0.0001). In bivariate analysis, income <$20,000, education less than high school, no health insurance, perceived discrimination, not currently employed, upper tertile for chronic stress, and lower tertiles for social support and language- and social-based acculturation were associated with stroke/TIA and retained further. A higher number of SDOH was directly associated with all individual VRFs investigated, except for at-risk alcohol, and with number of VRFs (β=0.11, 95% confidence interval [CI]=0.09-0.14). In the fully adjusted model, income, discrimination, social support, chronic stress, and employment status were individually associated with stroke/TIA; the odds of stroke/TIA were 2.3 times higher in individuals with 3 SDOH (95% CI 1.6-3.2) and 2.7 times (95% CI 1.9-3.7) for those with ≥5 versus ≤1 SDOH. CONCLUSION Among Hispanic/Latino adults, a higher number of SDOH is associated with increased odds for stroke/TIA and VRFs. The association remained significant after adjustment for VRFs, suggesting involvement of non-vascular mechanisms.
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Affiliation(s)
- Gabriela Trifan
- Department of Neurology and Rehabilitation, University of Illinois at Chicago College of Medicine, Chicago, IL, USA
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Melissa Lamar
- Rush Alzheimer’s Disease Center and Department of Psychiatry and Behavioral Sciences, Rush University, Chicago, IL, USA
- Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Olga Garcia-Bedoya
- Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Krista M. Perreira
- Department of Social Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Amber Pirzada
- Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | | | - Sylvia W. Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jianwen Cai
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Martha L. Daviglus
- Department of Medicine, Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Fernando D. Testai
- Department of Neurology and Rehabilitation, University of Illinois at Chicago College of Medicine, Chicago, IL, USA
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Krishnan S, Chen HT, Caston S, Rho S. Physical and Psychological Burden among Caregivers of Latinx Older Adults with Stroke and Multimorbidity. Ethn Dis 2023; 33:156-162. [PMID: 38854409 PMCID: PMC11155624 DOI: 10.18865/ed.33.4.156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2024] Open
Abstract
Objective To investigate the association between Latinx older adults' stroke, multimorbidity, and caregiver burden. Methods For this retrospective cohort study, we used the Hispanic Established Populations for the Epidemiologic Study of the Elderly (H-EPESE) Wave-7 data set. The caregiver's physical burden was defined by using the Level of Burden Index. The caregiver's psychological burden was measured by using the Perceived Stress Scale (PSS-4). Multimorbidity was defined as the presence of 3 or more chronic conditions. Results The average age of the Latinx adults was 86 years, and the caregivers were 56 years. Latinx older adults and caregivers were more likely to be females (66% and 75%). Most caregivers were children (71%). Twelve percent of Latinx older adults presented with stroke, and 50% presented with multimorbidity. Caregiver physical burden was stratified into 3 levels: low (43%), medium (17%), and high (40%) burden. The cumulative logit model revealed that caregivers caring for those with stroke or multimorbidity had a high physical burden. Family caregivers and caregivers with a higher household income had a low physical burden. Caregivers with multimorbidity had a higher psychological burden. Caregivers who were interviewed in Spanish and those with higher household incomes had decreased psychological burden. Conclusion This study revealed that caregivers had a higher physical burden among caregivers of Latinx adults with stroke or multimorbidity. Future studies must investigate the relationship between Latinx adults' stroke and caregiver psychological health, and build culturally tailored policies and community interventions to support caregivers susceptible to high stress and burden.
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Affiliation(s)
- Shilpa Krishnan
- Division of Physical Therapy, Department of Rehabilitation Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Haobin Tony Chen
- Department of Quantitative Theory and Methods, Emory College of Arts and Sciences, Atlanta, GA
| | - Sarah Caston
- Division of Physical Therapy, Department of Rehabilitation Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Seunghwa Rho
- Department of Quantitative Theory and Methods, Emory College of Arts and Sciences, Atlanta, GA
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1572] [Impact Index Per Article: 1572.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Briceño EM, Dong L, Levine DA, Kwicklis M, Lisabeth LD, Morgenstern LB. Cognitive recovery trajectories 3 months following stroke in Mexican American and non-Hispanic white adults. J Stroke Cerebrovasc Dis 2023; 32:106902. [PMID: 36459957 PMCID: PMC10249629 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/01/2022] [Accepted: 11/19/2022] [Indexed: 12/02/2022] Open
Abstract
OBJECTIVES We examined whether cognitive trajectories from 0-3 months after stroke differ between Mexican Americans (MAs) and non-Hispanic white (NHW) adults. MATERIALS AND METHODS The sample included 701 participants with ischemic stroke (62% MA; 38% NHW) from the population-based stroke surveillance study, the Brain Attack Surveillance in Corpus Christi (BASIC) Project, between 2008-2013. The outcome was the modified Mini Mental State Examination (3MSE, range 0-100 lower scores worse). Linear mixed effects models were utilized to examine the association between ethnicity and cognitive trajectories from 0-3 months following stroke, adjusting for confounders. RESULTS MAs were younger, had lower educational attainment, and fewer had health insurance than NHWs (all p< 0.01). A smaller proportion of MAs were rated by informants as exhibiting pre-stroke cognitive decline than NHW (p < .0.05). After accounting for confounders, MAs demonstrated lower cognitive performance at post-stroke baseline and at 3-months following stroke (-2.00; 95% CI =-3.92, -0.07). Cognitive trajectories from 0-3 months following stroke were indicative of modest cognitive recovery (increase of 0.034/day, 95% CI =0.030-0.036) and did not differ between MAs and NHWs (p = 0.68). CONCLUSION We found no evidence that cognitive trajectories in the first three months following stroke differed between MAs and NHWs. MAs demonstrated lower cognitive performance shortly after stroke and at three months following stroke compared to NHWs. Further research is needed to identify factors contributing to ethnic disparities in cognitive outcomes after stroke.
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Affiliation(s)
- Emily M Briceño
- Department of Physical Medicine & Rehabilitation, University of Michigan Medical School, 325 E. Eisenhower Blvd, Ann Arbor, MI 48108, United States.
| | - Liming Dong
- Department of Epidemiology, University of Michigan School of Public Health and Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, 325 E. Eisenhower Blvd, Ann Arbor, MI 48108, United States
| | - Deborah A Levine
- Departments of Internal Medicine and Neurology and Cognitive Health Services Research Program, University of Michigan Medical School, 325 E. Eisenhower Blvd, Ann Arbor, MI 48108, United States
| | - Madeline Kwicklis
- Department of Epidemiology, University of Michigan School of Public Health, 325 E. Eisenhower Blvd, Ann Arbor, MI 48108, United States
| | - Lynda D Lisabeth
- Department of Epidemiology and Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Department of Neurology and Stroke Program, University of Michigan Medical School, 325 E. Eisenhower Blvd, Ann Arbor, MI 48108, United States
| | - Lewis B Morgenstern
- Department of Neurology and Stroke Program, University of Michigan Medical School; Department of Epidemiology and Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, 325 E. Eisenhower Blvd, Ann Arbor, MI 48108, United States
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Springer MV, Lisabeth LD, Gibbs R, Shi X, Case E, Chervin RD, Dong L, Brown DL. Racial and ethnic differences in sleep-disordered breathing and sleep duration among stroke patients. J Stroke Cerebrovasc Dis 2022; 31:106822. [PMID: 36244278 PMCID: PMC9802657 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106822] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/03/2022] [Accepted: 10/06/2022] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVE We sought to characterize racial and ethnic differences in pre- and post-stroke sleep-disordered breathing (SDB) and pre-stroke sleep duration. METHODS Within the Brain Attack Surveillance in Corpus Christi cohort of patients with ischemic stroke (8/26/2010-1/31/2020), pre-stroke SDB risk was assessed retrospectively using the Berlin Questionnaire. Post-stroke SDB was defined by prospective collection of the respiratory event index (REI) using the ApneaLink Plus performed shortly after stroke. Pre-stroke sleep duration was self-reported. We used separate regression models to evaluate the association between race/ethnicity and each outcome (pre-stroke SDB, post-stroke SDB, and pre-stroke sleep duration), without and with adjustment for potential confounders. RESULTS There was no difference in pre-stroke risk of SDB between Black and non-Hispanic white (NHW) participants (odds ratio (OR) 1.07, 95% CI 0.77-1.49), whereas MA (Mexican American), compared to NHW, participants had a higher risk of SDB before adjusting for demographic and clinical variables (OR 1.26, 95% CI 1.08-1.47). Post-stroke SDB risk was higher in MA (estimate 1.16, 95% CI 1.06-1.28) but lower in Black (estimate 0.79, 95% CI 0.65-0.96) compared to NHW participants; although, only the ethnic difference remained after adjustment. MA and Black participants had shorter sleep duration than NHW participants (OR 0.83, 95% CI 0.72-0.96 for MA; OR 0.67, 95% CI 0.49-0.91 for Black participants) before but not after adjustment. CONCLUSIONS Racial/ethnic differences appear likely to exist in pre- and post-stroke SDB and pre-stroke sleep duration. Such differences might contribute to racial/ethnic disparities in stroke incidence and outcomes.
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Affiliation(s)
- Mellanie V Springer
- Stroke Program, University of Michigan Medical School, 1500 E. Medical Center Drive, Ann Arbor, Michigan 48109, USA.
| | - Lynda D Lisabeth
- Stroke Program, University of Michigan Medical School, 1500 E. Medical Center Drive, Ann Arbor, Michigan 48109, USA; Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan 4810, USA9
| | - River Gibbs
- Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan 4810, USA9
| | - Xu Shi
- Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan 4810, USA9
| | - Erin Case
- Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan 4810, USA9
| | - Ronald D Chervin
- Michael S Aldrich Sleep Disorders Laboratory, University of Michigan Health System, 1500 E. Medical Center Drive, Ann Arbor, Michigan 48109, USA
| | - Liming Dong
- Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan 4810, USA9
| | - Devin L Brown
- Stroke Program, University of Michigan Medical School, 1500 E. Medical Center Drive, Ann Arbor, Michigan 48109, USA
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Hu J, Fang Z, Lu X, Wang F, Zhang N, Pan W, Fu X, Huang G, Tan X, Chen W. Influence Factors and Predictive Models for the Outcome of Patients with Ischemic Stroke after Intravenous Thrombolysis: A Multicenter Retrospective Cohort Study. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:3363735. [PMID: 36035225 PMCID: PMC9402302 DOI: 10.1155/2022/3363735] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/24/2022] [Accepted: 07/28/2022] [Indexed: 12/26/2022]
Abstract
Objective Intravenous thrombolysis (IVT) is currently the main effective treatment for patients with ischemic stroke. This study aimed to analyze the factors affecting the early neurological recovery and prognosis of thrombolytic therapy after surgery and to construct predictive models. Materials and Methods A total of 849 patients with ischemic stroke who received IVT treatment at six centers from June 2017 to March 2021 were included. Patients were divided into the training cohort and the validation cohort. Based on the independent factors that influence the early recovery of neurological function and the prognosis, the respective predictive nomograms were established. The predictive accuracy and discrimination ability of the nomograms were evaluated by ROC and calibration curve, while the decision curve and clinical impact curve were adopted to evaluate the clinical applicability of the nomograms. Results The nomogram constructed based on the factors affecting the prognosis in 3 months had ideal accuracy as the AUC (95% CI) was 0.901 (0.874~0.927) in the training cohort and 0.877 (0.826~0.929) in the validation cohort. The accuracy of the nomogram is required to be improved, since the AUC (95% CI) of the training cohort and the validation cohort was 0.641 (0.597~0.685) and 0.627 (0.559~0.696), respectively. Conclusions Based on this ideal and practical prediction model, we can early identify and actively intervene in patients with ischemic stroke after IVT to improve their prognosis. Nevertheless, the accuracy of predicting nomograms for the recovery of early neurological function after IVT still needs improvement.
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Affiliation(s)
- Jin Hu
- Department of Neurology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Zhixian Fang
- Department of Respiration, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Xia Lu
- Department of Neurology, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Fei Wang
- Department of Neurology, The First People's Hospital of Jiashan County, Jiaxing, China
| | - Ningyuan Zhang
- Department of Neurology, The First People's Hospital of Tongxiang, Jiaxing, China
| | - Wenliang Pan
- Department of Neurology, The People's Hospital of Haiyan, Jiaxing, China
| | - Xinzheng Fu
- Department of Neurology, The People's Hospital of Haining, Jiaxing, China
| | - Gongchun Huang
- Department of Neurology, The First People's Hospital of Pinghu, Jiaxing, China
| | - Xiaoli Tan
- Department of Respiration, The Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Wenyu Chen
- Department of Respiration, The Affiliated Hospital of Jiaxing University, Jiaxing, China
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Gil-Garcia CA, Alvarez EF, Garcia RC, Mendoza-Lopez AC, Gonzalez-Hermosillo LM, Garcia-Blanco MDC, Valadez ER. Essential topics about the imaging diagnosis and treatment of Hemorrhagic Stroke: a comprehensive review of the 2022 AHA guidelines. Curr Probl Cardiol 2022; 47:101328. [PMID: 35870549 DOI: 10.1016/j.cpcardiol.2022.101328] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 07/17/2022] [Indexed: 11/03/2022]
Abstract
Intracerebral hemorrhage (ICH) is a severe stroke with a high death rate (40 % mortality). The prevalence of hemorrhagic stroke has increased globally, with changes in the underlying cause over time as anticoagulant use and hypertension treatment have improved. The fundamental etiology of ICH and the mechanisms of harm from ICH, particularly the complex interaction between edema, inflammation, and blood product toxicity, have been thoroughly revised by the American Heart Association (AHA) in 2022. Although numerous trials have investigated the best medicinal and surgical management of ICH, there is still no discernible improvement in survival and functional tests. Small vessel diseases, such as cerebral amyloid angiopathy (CAA) or deep perforator arteriopathy (hypertensive arteriopathy), are the most common causes of spontaneous non-traumatic intracerebral hemorrhage (ICH). Even though ICH only causes 10-15% of all strokes, it contributes significantly to morbidity and mortality, with few acute or preventive treatments proven effective. Current AHA guidelines acknowledge up to 89% sensitivity for unenhanced brain CT and 81% for brain MRI. The imaging findings of both methods are helpful for initial diagnosis and follow-up, sometimes necessary a few hours after admission, especially for detecting hemorrhagic transformation or hematoma expansion. This review summarized the essential topics on hemorrhagic stroke epidemiology, risk factors, physiopathology, mechanisms of injury, current management approaches, findings in neuroimaging, goals and outcomes, recommendations for lifestyle modifications, and future research directions ICH. A list of updated references is included for each topic.
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Affiliation(s)
| | | | | | | | | | | | - Ernesto-Roldan Valadez
- Directorado de investigación, Hospital General de Mexico "Dr. Eduardo Liceaga," 06720, CDMX, Mexico; I.M. Sechenov First Moscow State Medical University (Sechenov University), Department of Radiology, 119992, Moscow, Russia.
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Tarko L, Costa L, Galloway A, Ho YL, Gagnon D, Lioutas V, Seshadri S, Cho K, Wilson P, Aparicio HJ. Racial and Ethnic Differences in Short- and Long-term Mortality by Stroke Type. Neurology 2022; 98:e2465-e2473. [PMID: 35649728 DOI: 10.1212/wnl.0000000000200575] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 03/01/2022] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Racial and ethnic disparities in stroke outcomes exist, but differences by stroke type are less understood. We studied the association of race and ethnicity with stroke mortality, by stroke type, in a national sample of hospitalized patients in the Veterans Health Administration. METHODS A retrospective observational study was performed including non-Hispanic White, non-Hispanic Black, and Hispanic patients with a first hospitalization for stroke between 2002 and 2012. Stroke was determined using ICD-9 codes and date of death was obtained from the National Death Index. For each of acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH), we constructed a piecewise multivariable model for all-cause mortality, using follow-up intervals of ≤30 days, 31-90 days, 91 days to 1 year, and >1 year. RESULTS Among 37,790 patients with stroke (89% AIS, 9% ICH, 2% SAH), 25,492 (67%) were non-Hispanic White, 9,752 (26%) were non-Hispanic Black, and 2,546 (7%) were Hispanic. The cohort was predominantly male (98%). Compared with White patients, Black patients experienced better 30-day survival after AIS (hazard ratio [HR] 0.80, 95% CI 0.73-0.88; 1.4% risk difference) and worse 30-day survival after ICH (HR 1.24, 95% CI 1.06-1.44; 3.2% risk difference). Hispanic patients experienced reduced risk for >1-year mortality after AIS (HR 0.87, 95% CI 0.80-0.94), but had greater risk of 30-day mortality after SAH compared with White patients (HR 1.61, 95% CI 1.03-2.52; 10.3% risk difference). DISCUSSION Among US Veterans, absolute risk of 30-day mortality after ICH was 3.2% higher for Black patients and after SAH was 10.3% higher for Hispanic patients compared with White patients. These findings underscore the importance of investigating stroke outcomes by stroke type to better understand the factors driving observed racial and ethnic disparities.
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Affiliation(s)
- Laura Tarko
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Lauren Costa
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Ashley Galloway
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Yuk-Lam Ho
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - David Gagnon
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Vasileios Lioutas
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Sudha Seshadri
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Kelly Cho
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Peter Wilson
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Hugo J Aparicio
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA.
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Cruz-Góngora VDL, Chiquete E, Gómez–Dantés H, Cahuana-Hurtado L, Cantú-Brito C. Trends in the burden of stroke in Mexico: A national and subnational analysis of the global burden of disease 1990-2019. LANCET REGIONAL HEALTH. AMERICAS 2022; 10:100204. [PMID: 36777683 PMCID: PMC9904132 DOI: 10.1016/j.lana.2022.100204] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Background Scarce epidemiological information on stroke in Mexico impedes evidence-based decisions and debilitates the design of effective prevention programmes at the local level. Methods Ecological and secondary analysis of Global Burden of Disease national and subnational data for Mexico, from 1990 to 2019. We analysed the incidence, prevalence, deaths, premature mortality, disability, and DALYs due to cerebrovascular disease included to identify the differences in the burden of stroke in Mexico by type of stroke (ischaemic [IS], intracerebral haemorrhage [ICH] and subarachnoid haemorrhage [SAH]), sex, age groups, and state levels ordered by quartiles of Sociodemographic Index (SDI). Means and 95% uncertainty intervals are reported. Findings Reductions in all metrics of total stroke occurred during the 1990 to 2005 period; however, this declining trend was followed up by stagnation of progress from 2006 to 2019, except for premature mortality. This pattern of the declining trend was observed also for IS and to a lesser extent for ICH, while SAH showed no major changes during the 1990-2019 period. The magnitude of decline was higher in females for total stroke for incidence, prevalence and YLDs rates. The less developed states by SDI exhibited the lowest improvements during the period, particularly for ICH metrics. Interpretation The reduction in stroke burden in Mexico did not follow the same pace for all types of stroke, with regional differences by SDI and by sex. Study findings reveal the need for strengthening prevention policies to address health disparities in the burden of stroke by sex and states, within the fragmented Mexican Healthcare System. Funding Bill & Melinda Gates Foundation.
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Affiliation(s)
| | - Erwin Chiquete
- Department of Neurology, The Salvador Zubirán National Institute of Medical Sciences and Nutrition, Mexico City, México
| | - Héctor Gómez–Dantés
- Health Systems Research Centre, National Institute of Public Health, Cuernavaca, Mexico
| | - Lucero Cahuana-Hurtado
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Carlos Cantú-Brito
- Department of Neurology, The Salvador Zubirán National Institute of Medical Sciences and Nutrition, Mexico City, México
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22
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Greenberg SM, Ziai WC, Cordonnier C, Dowlatshahi D, Francis B, Goldstein JN, Hemphill JC, Johnson R, Keigher KM, Mack WJ, Mocco J, Newton EJ, Ruff IM, Sansing LH, Schulman S, Selim MH, Sheth KN, Sprigg N, Sunnerhagen KS. 2022 Guideline for the Management of Patients With Spontaneous Intracerebral Hemorrhage: A Guideline From the American Heart Association/American Stroke Association. Stroke 2022; 53:e282-e361. [PMID: 35579034 DOI: 10.1161/str.0000000000000407] [Citation(s) in RCA: 443] [Impact Index Per Article: 221.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | - William J Mack
- AHA Stroke Council Scientific Statement Oversight Committee on Clinical Practice Guideline liaison
| | | | | | - Ilana M Ruff
- AHA Stroke Council Stroke Performance Measures Oversight Committee liaison
| | | | | | | | - Kevin N Sheth
- AHA Stroke Council Scientific Statement Oversight Committee on Clinical Practice Guideline liaison.,AAN representative
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23
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Simaan N, Filioglo A, Cohen JE, Lorberboum Y, Leker RR, Honig A. Effects in Israel of Arab and Jewish Ethnicity on Intracerebral Hemorrhage. J Clin Med 2022; 11:jcm11082117. [PMID: 35456208 PMCID: PMC9024802 DOI: 10.3390/jcm11082117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 02/27/2022] [Accepted: 04/08/2022] [Indexed: 02/01/2023] Open
Abstract
Intracerebral hemorrhages (ICH) characteristics reportedly differ between different ethnic groups. We aimed to compare the characteristics of Jewish and Arab ICH patients in Israel. Consecutive patients with primary ICH were included in a prospective institutional database. Demographics, vascular risk factors, clinical and radiological parameters were compared between Arab and Jewish ICH patients residing in Jerusalem. The study included 455 patients (311 Jews). Arab patients were younger (66.1 ± 13.4 vs. 72.2 ± 12.2 years, p < 0.001) and had higher rates of diabetes (60% vs. 29%, p < 0.001) and smoking (26% vs. 11%, p < 0.001). Arab patients had higher rates of deep ICH (74% vs. 62%, p = 0.01) and lower rates of lobar ICH (18% vs. 31%, p = 0.003). In a sub-analysis of deep ICH patients only, Arab patients were younger (64.3 ± 12.9 vs. 71.4 ± 11.8 years, p < 0.001) and less frequently male (56% vs. 68%, p = 0.042), with higher rates of diabetes (61% vs. 35%, p < 0.001) and smoking (31% vs. 14%, p < 0.001). In conclusion, the two ethnic populations in Israel differ in the causes and attributes of ICH. Heavy smoking and poorly controlled diabetes are commonly associated with deep ICH in the Arab population and may offer specific targets for secondary prevention in this population.
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Affiliation(s)
- Naaem Simaan
- Department of Neurology, Ziv Medical Center, Safed 13100, Israel;
- Azrieli Faculty of Medicine, Bar Ilan University, Safed 13115, Israel
| | - Andrei Filioglo
- Department of Neurology, Hadassah-Hebrew University Medical Center, Jerusalem 91120, Israel; (A.F.); (Y.L.); (A.H.)
| | - José E. Cohen
- Department of Neurosurgery, Hadassah-Hebrew University Medical Center, Jerusalem 91120, Israel;
| | - Yonatan Lorberboum
- Department of Neurology, Hadassah-Hebrew University Medical Center, Jerusalem 91120, Israel; (A.F.); (Y.L.); (A.H.)
| | - Ronen R. Leker
- Department of Neurology, Hadassah-Hebrew University Medical Center, Jerusalem 91120, Israel; (A.F.); (Y.L.); (A.H.)
- Correspondence:
| | - Asaf Honig
- Department of Neurology, Hadassah-Hebrew University Medical Center, Jerusalem 91120, Israel; (A.F.); (Y.L.); (A.H.)
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24
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Naqvi IA, Cheung YK, Strobino K, Li H, Tom SE, Husaini Z, Williams OA, Marshall RS, Arcia A, Kronish IM, Elkind MSV. TASC (Telehealth After Stroke Care): a study protocol for a randomized controlled feasibility trial of telehealth-enabled multidisciplinary stroke care in an underserved urban setting. Pilot Feasibility Stud 2022; 8:81. [PMID: 35410312 PMCID: PMC8995696 DOI: 10.1186/s40814-022-01025-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 03/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Hypertension is the most important modifiable risk factor for recurrent stroke, and blood pressure (BP) reduction is associated with decreased risk of stroke recurrence. However, hypertension remains poorly controlled in many stroke survivors. Black and Hispanic patients have a higher prevalence of uncontrolled BP and higher rates of stroke. Limited access to care contributes to challenges in post-stroke care. Telehealth After Stroke Care (TASC) is a telehealth intervention that integrates remote BP monitoring (RBPM) including nursing telephone support, tailored BP infographics and telehealth video visits with a multidisciplinary team approach including pharmacy to improve post-stroke care and reduce stroke disparities. Methods In this pilot trial, 50 acute stroke patients with hypertension will be screened for inclusion prior to hospital discharge and randomized to usual care or TASC. Usual care patients will be seen by a primary care nurse practitioner at 1–2 weeks and a stroke neurologist at 1 and 3 months. In addition to these usual care visits, TASC intervention patients will see a pharmacist at 4 and 8 weeks and will be enrolled in RBPM consisting of home BP monitoring with interval calls by a centralized team of telehealth nurses. As part of RBPM, TASC patients will be provided with a home BP monitoring device and electronic tablet that wirelessly transmits home BP data to the electronic health record. They will also receive tailored BP infographics that help explain their BP readings. The primary outcome will be feasibility including recruitment, adherence to at least one video visit and retention rates. The clinical outcome for consideration in a subsequent trial will be within-patient change in BP from baseline to 3 months after discharge. Secondary outcomes will be medication adherence self-efficacy and satisfaction with post-stroke telehealth, both measured at 3 months. Additional patient reported outcomes will include depression, cognitive function, and socioeconomic determinants. Multidisciplinary team competency and fidelity measures will also be assessed. Conclusions Integrated team-based interventions may improve BP control and reduce racial/ethnic disparities in post-stroke care. TASC is a post-acute stroke care model that is novel in providing RBPM with tailored infographics, and a multidisciplinary team approach including pharmacy. Our pilot will determine if such an approach is feasible and effective in enhancing post-stroke BP control and promoting self-efficacy. Trial registration ClinicalTrials.gov NCT04640519 Supplementary Information The online version contains supplementary material available at 10.1186/s40814-022-01025-z.
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Affiliation(s)
- Imama A Naqvi
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA. .,Division of Stroke and Cerebrovascular Diseases, Columbia University Medical Center, 710 West 168th Street, New York, NY, 10032, USA.
| | - Ying Kuen Cheung
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Kevin Strobino
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Hanlin Li
- NewYork-Presbyterian Hospital, New York, NY, USA
| | - Sarah E Tom
- Department of Neurology Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - Olajide A Williams
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Randolph S Marshall
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Adriana Arcia
- Columbia University School of Nursing, New York, NY, USA
| | - Ian M Kronish
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, USA
| | - Mitchell S V Elkind
- Department of Neurology Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
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25
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LeLaurin JH, Sypniewski C, Wing K, Freytes IM, Findley K, Uphold CR. Development, Usability Testing, and Promotion of the English- and Spanish-language RESCUE Stroke Caregiver Websites. AMERICAN JOURNAL OF HEALTH EDUCATION 2022. [DOI: 10.1080/19325037.2022.2048747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | | | - Kristen Wing
- North Florida/South Georgia Veterans Health System
- VA Office of Rural Health
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26
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Khan SU, Lone AN, Yedlapati SH, Dani SS, Khan MZ, Watson KE, Parwani P, Rodriguez F, Cainzos-Achirica M, Michos ED. Cardiovascular Disease Mortality Among Hispanic Versus Non-Hispanic White Adults in the United States, 1999 to 2018. J Am Heart Assoc 2022; 11:e022857. [PMID: 35362334 PMCID: PMC9075497 DOI: 10.1161/jaha.121.022857] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Background Life expectancy has been higher for Hispanic versus non‐Hispanic White (NHW) individuals; however, data are limited on cardiovascular disease (CVD) mortality. Method and Results Using the Centers for Disease Control and Prevention’s Wide‐Ranging Online Data for Epidemiologic Research death certificate database (1999–2018), we compared age‐adjusted mortality rates for total CVD and its subtypes (ischemic heart disease, stroke, heart failure, hypertensive heart disease, other CVD), and average annual percentage changes among Hispanic and NHW adults. The age‐adjusted mortality rate per 100 000 was lower for Hispanic than NHW adults for total CVD (186.4 versus 254.6; P<0.001) and its subtypes. Between 1999 and 2018, mortality decline was higher in Hispanic than NHW adults for total CVD (average annual percentage change [AAPC], −2.90 versus −2.41) and ischemic heart disease (AAPC: −4.44 versus −3.82) (P<0.001). In contrast, stroke mortality decline was slower in Hispanic versus NHW adults (AAPC: −2.05 versus −2.60; P<0.05). Stroke mortality increased in Hispanic but stalled in NHW adults since 2011 (AAPC: 0.79 versus −0.09). For ischemic heart disease (AAPC: −0.80 versus −1.85) and stroke (AAPC: −1.32 versus −1.43) mortality decline decelerated more for Hispanic than NHW adults aged <45 years (P<0.05). For heart failure, Hispanic adults aged <45 (3.55 versus 2.16) and 45 to 64 (1.88 versus 1.54) showed greater rise in age‐adjusted mortality rate than NHW individuals (P<0.05). Age‐adjusted heart failure mortality rate also accelerated in Hispanic versus NHW men (1.00 versus 0.67; P<0.001). Conclusions Disaggregating data by CVD subtype and demographics unmasked heterogeneities in CVD mortality between Hispanic and NHW adults. NHW adults had greater CVD mortality rates and slower decline than Hispanic adults, whereas marked demographic differences in mortality signaled concerning trends among the Hispanic versus NHW population.
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Affiliation(s)
- Safi U Khan
- Department of Cardiology Houston Methodist DeBakey Heart & Vascular Center Houston TX
| | - Ahmad N Lone
- Department of Cardiovascular Medicine Guthrie Health System/Robert Packer Hospital Sayre PA
| | | | - Sourbha S Dani
- Division of Cardiology Lahey Hospital and Medical CenterBeth Israel Lahey Health Burlington MA
| | - Muhammad Zia Khan
- Department of Cardiovascular Medicine West Virginia University Morgantown WV
| | - Karol E Watson
- Division of Cardiology David Geffen School of Medicine at UCLA Los Angeles CA
| | - Purvi Parwani
- Division of Cardiology Loma Linda University Loma Linda CA
| | - Fatima Rodriguez
- Division of Cardiology and the Cardiovascular Institute Stanford University Stanford CA
| | - Miguel Cainzos-Achirica
- Department of Cardiology Houston Methodist DeBakey Heart & Vascular Center Houston TX.,Center for Outcomes Research Houston Methodist Houston TX
| | - Erin D Michos
- Division of Cardiology Johns Hopkins University School of Medicine Baltimore MD
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27
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Pineda Sanabria JP, Tolosa Cubillos JM. Accidente cerebrovascular isquémico de la arteria cerebral media. REPERTORIO DE MEDICINA Y CIRUGÍA 2022. [DOI: 10.31260/repertmedcir.01217372.1104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
La segunda causa de muerte a nivel mundial corresponde a los ataques cerebrovasculares (ACV), de los cuales más de dos terceras partes son de origen isquémico. Causan discapacidad a largo plazo por lo que conocer la anatomía de la circulación cerebral y las posibles manifestaciones clínicas del ACV isquémico permite sospechar, diagnosticar y brindar un manejo oportuno y apropiado, reduciendo el impacto en la salud y la calidad de vida del paciente y sus cuidadores. Objetivo: relacionar los últimos hallazgos en la anatomía arterial cerebral, los mecanismos fisiopatológicos y las manifestaciones clínicas del ACV isquémico de la arteria cerebral media (ACM). Materiales y métodos: revisión de la literatura mediante la búsqueda con términos MeSH en la base de datos Medline, incluyendo estudios, ensayos y metaanálisis publicados entre 2000 y 2020 en inglés y español, además de otras referencias para complementar la información. Resultados: se seleccionaron 59 publicaciones, priorizando la de los últimos 5 años y las más relevantes del rango temporal consultado. Conclusiones: son escasos los estudios sobre la presentación clínica de los ACV, lo que sumado a la variabilidad interindividual de la irrigación cerebral, dificulta la determinación clínica de la localización de la lesión dentro del lecho vascular. La reperfusión del área de penumbra isquémica como objetivo terapéutico se justifica por los mecanismos fisiopatológicos de la enfermedad.
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28
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Verma A, Towfighi A, Brown A, Abhat A, Casillas A. Moving Towards Equity With Digital Health Innovations for Stroke Care. Stroke 2022; 53:689-697. [PMID: 35124973 PMCID: PMC8885852 DOI: 10.1161/strokeaha.121.035307] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Digital health has long been championed as a means to expanding access to health care. Now that the COVID-19 pandemic accelerated many health systems' integration of digital tools for care, digital health may provide a path towards more accessible stroke prevention and treatment, particularly for historically disadvantaged patient populations. Stroke management is composed of multiple time points where digital health innovations have the potential to augment health access and treatment: from primary prevention, to the time-sensitive detection of ischemic stroke, administration of thrombolytic agents and consideration for endovascular interventions, to appropriate post-acute care, rehabilitation, and lifelong secondary stroke prevention-stroke care relies on a multidisciplinary and standardized approach. However, as we discuss pointedly in this Focused Update, underrepresented individuals face multilevel digital health disparities that potentially diminish the benefits of these digital advances. As such, these multilevel needs must be discussed and accounted for as health systems seek to integrate innovative and equitable digital health solutions towards stroke care.
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Affiliation(s)
- Aradhana Verma
- Department of Internal Medicine, David Geffen School of
Medicine at UCLA, Los Angeles, CA
| | - Amytis Towfighi
- LA County Department of Health Services, Los Angeles,
CA,Department of Neurology, University of Southern California,
Los Angeles, CA
| | - Arleen Brown
- Department of Internal Medicine, David Geffen School of
Medicine at UCLA, Los Angeles, CA
| | - Anshu Abhat
- LA County Department of Health Services, Los Angeles,
CA
| | - Alejandra Casillas
- Department of Internal Medicine, David Geffen School of
Medicine at UCLA, Los Angeles, CA
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2700] [Impact Index Per Article: 1350.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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30
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Jacob MA, Ekker MS, Allach Y, Cai M, Aarnio K, Arauz A, Arnold M, Bae HJ, Bandeo L, Barboza MA, Bolognese M, Bonardo P, Brouns R, Chuluun B, Chuluunbatar E, Cordonnier C, Dagvajantsan B, Debette S, Don A, Enzinger C, Ekizoglu E, Fandler-Höfler S, Fazekas F, Fromm A, Gattringer T, Hora TF, Jern C, Jood K, Kim YS, Kittner S, Kleinig T, Klijn CJ, Kõrv J, Kumar V, Lee KJ, Lee TH, Maaijwee NA, Martinez-Majander N, Marto JP, Mehndiratta MM, Mifsud V, Montanaro V, Pacio G, Patel VB, Phillips MC, Piechowski-Jozwiak B, Pikula A, Ruiz-Sandoval J, von Sarnowski B, Swartz RH, Tan KS, Tanne D, Tatlisumak T, Thijs V, Viana-Baptista M, Vibo R, Wu TY, Yesilot N, Waje-Andreassen U, Pezzini A, Putaala J, Tuladhar AM, de Leeuw FE. Global Differences in Risk Factors, Etiology, and Outcome of Ischemic Stroke in Young Adults-A Worldwide Meta-analysis: The GOAL Initiative. Neurology 2022; 98:e573-e588. [PMID: 34906974 PMCID: PMC8829964 DOI: 10.1212/wnl.0000000000013195] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 11/16/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES There is a worldwide increase in the incidence of stroke in young adults, with major regional and ethnic differences. Advancing knowledge of ethnic and regional variation in causes and outcomes will be beneficial in implementation of regional health care services. We studied the global distribution of risk factors, causes, and 3-month mortality of young patients with ischemic stroke, by performing a patient data meta-analysis from different cohorts worldwide. METHODS We performed a pooled analysis of individual patient data from cohort studies that included consecutive patients with ischemic stroke aged 18-50 years. We studied differences in prevalence of risk factors and causes of ischemic stroke between different ethnic and racial groups, geographic regions, and countries with different income levels. We investigated differences in 3-month mortality by mixed-effects multivariable logistic regression. RESULTS We included 17,663 patients from 32 cohorts in 29 countries. Hypertension and diabetes were most prevalent in Black (hypertension, 52.1%; diabetes, 20.7%) and Asian patients (hypertension 46.1%, diabetes, 20.9%). Large vessel atherosclerosis and small vessel disease were more often the cause of stroke in high-income countries (HICs; both p < 0.001), whereas "other determined stroke" and "undetermined stroke" were higher in low and middle-income countries (LMICs; both p < 0.001). Patients in LMICs were younger, had less vascular risk factors, and despite this, more often died within 3 months than those from HICs (odds ratio 2.49; 95% confidence interval 1.42-4.36). DISCUSSION Ethnoracial and regional differences in risk factors and causes of stroke at young age provide an understanding of ethnic and racial and regional differences in incidence of ischemic stroke. Our results also highlight the dissimilarities in outcome after stroke in young adults that exist between LMICs and HICs, which should serve as call to action to improve health care facilities in LMICs.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Keon-Joo Lee
- From Donders Institute for Brain, Cognition and Behaviour (M.A.J., M.S.E., Y.A., M.C., C.J.M.K., A.M.T., F.-E.d.L.), Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands; Neurology (K.A., N.M.-M., T.T., J.P.), Helsinki University Hospital and University of Helsinki, Finland; National Institute of Neurology and Neurosurgery of Mexico (A.A.), Manuel Velasco Suárez, Mexico City; Department of Neurology (M.A.), Inselspital, University Hospital, University of Bern, Switzerland; Cerebrovascular Disease Center (H.-J.B., K.-J.L.), Seoul National University College of Medicine, Seoul National University Bundang Hospital, South Korea; Neurology Department (L.B., P.B., G.P.), Hospital Británico de Buenos Aires, Argentina; Neurosciences Department (M.A.B.), Hospital Dr. Rafael A. Calderon Guardia, CCSS, San Jose, Costa Rica; Neurocenter (M.B., N.A.M.M.), Department of Neurology and Neurorehabilitation, Lucerne Cantonal Hospital, Luzern, Switzerland; The Faculty of Medicine and Pharmacy (R.B.), Vrije Universiteit Brussel, Jette, Belgium; Department of Neurology (R.B.), ZorgSaam Hospital, Terneuzen, the Netherlands; International School of Traditional Medicine (B.C.) and Department of Neurology, School of Medicine (B.D.), Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia; Department of Global Health (E.C.), School of Public Health, Taipei Medical University, Taiwan; U1172-LilNCog-Lille Neuroscience & Cognition (C.C.), Univ Lille, Inserm, CHU Lille; Team VINTAGE (S.D.), Bordeaux Population Health Research Center, Inserm, University of Bordeaux, France; School of Medicine (A.D.) and Department of Epidemiology and Preventive Medicine, School of Public Health (D.T.), Sackler Faculty of Medicine, Tel Aviv University, Israel; Department of Neurology (C.E., S.F.-H., F.F., T.G.) and Division of Neuroradiology, Department of Radiology (C.E., T.G.), Medical University of Graz, Austria; Department of Neurology (E.E., N.Y.), Istanbul University, Istanbul Faculty of Medicine, Turkey; Center for Neurovascular Diseases, Department of Neurology (A.F., U.W.-A.), Haukeland University Hospital, Bergen, Norway; SARAH Hospital of Rehabilitation (T.F.H., V. Montanaro), Brasilia, Brazil; Department of Laboratory Medicine, Institute of Biomedicine (C.J.), and Institute of Neuroscience and Physiology (K.J.), the Sahlgrenska Academy, University of Gothenburg; Departments of Clinical Genetics and Genomics (C.J.) and Neurology (K.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurology (K.Y.S.), College of Medicine, Hanyang University, Seoul, South Korea; Department of Neurology (S.K.), Veterans Affairs Maryland Health Care System, University of Maryland School of Medicine, Baltimore; Department of Neurology (T.K.), Royal Adelaide Hospital, Australia; Department of Neurology and Neurosurgery (J.K., R.V.), University of Tartu, Estonia; Neurological Institute (V.K., V. Mifsud, B.P.-J.), Cleveland Clinic Abu Dhabi, United Arab Emirates; Department of Neurology (T.-H.L.), Chang Gung Memorial Hospital, Linkou Medical Center; College of Medicine (T.-H.L.), Chang Gung University, Guishan, Taoyuan, Taiwan; Department of Neurology (J.P.M., M.V.-B.), Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental and CEDOC, NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal; Department of Neurology (M.M.M.), G.B. Pant Institute of Medical Education and Research (GIPMER), New Delhi, India; Department of Neurology (V.B.P.), Nelson R. Mandela School of Medicine, Inkosi Albert Luthuli Central Hospital, Mayville, South Africa; Department of Neurology (M.C.P.), Waikato Hospital, Hamilton, New Zealand; Department of Medicine (Neurology), University Health Network (A. Pikula), and Department of Medicine (Neurology) (R.H.S.), Sunnybrook Health Sciences Center, University of Toronto, Canada; Department of Neurology (J.R.-S.), Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Mexico; Department of Neurology (B.v.S.), University Medicine, Greifswald, Germany; Department of Medicine (K.-S.T.), University of Malaya, Kuala Lumpur; Rambam Healthcare Campus (D.T.), Haifa, Israel; Stroke Theme (V.T.), Florey Institute of Neuroscience and Mental Health, University of Melbourne; Department of Neurology (V.T.), Austin Health, Melbourne, Victoria, Australia; Department of Neurology (T.Y.W.), Christchurch Hospital, New Zealand; and Department of Clinical and Experimental Sciences (A. Pezzini), Neurology Clinic, University of Brescia, Italy.
| | - Tsong-Hai Lee
- From Donders Institute for Brain, Cognition and Behaviour (M.A.J., M.S.E., Y.A., M.C., C.J.M.K., A.M.T., F.-E.d.L.), Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands; Neurology (K.A., N.M.-M., T.T., J.P.), Helsinki University Hospital and University of Helsinki, Finland; National Institute of Neurology and Neurosurgery of Mexico (A.A.), Manuel Velasco Suárez, Mexico City; Department of Neurology (M.A.), Inselspital, University Hospital, University of Bern, Switzerland; Cerebrovascular Disease Center (H.-J.B., K.-J.L.), Seoul National University College of Medicine, Seoul National University Bundang Hospital, South Korea; Neurology Department (L.B., P.B., G.P.), Hospital Británico de Buenos Aires, Argentina; Neurosciences Department (M.A.B.), Hospital Dr. Rafael A. Calderon Guardia, CCSS, San Jose, Costa Rica; Neurocenter (M.B., N.A.M.M.), Department of Neurology and Neurorehabilitation, Lucerne Cantonal Hospital, Luzern, Switzerland; The Faculty of Medicine and Pharmacy (R.B.), Vrije Universiteit Brussel, Jette, Belgium; Department of Neurology (R.B.), ZorgSaam Hospital, Terneuzen, the Netherlands; International School of Traditional Medicine (B.C.) and Department of Neurology, School of Medicine (B.D.), Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia; Department of Global Health (E.C.), School of Public Health, Taipei Medical University, Taiwan; U1172-LilNCog-Lille Neuroscience & Cognition (C.C.), Univ Lille, Inserm, CHU Lille; Team VINTAGE (S.D.), Bordeaux Population Health Research Center, Inserm, University of Bordeaux, France; School of Medicine (A.D.) and Department of Epidemiology and Preventive Medicine, School of Public Health (D.T.), Sackler Faculty of Medicine, Tel Aviv University, Israel; Department of Neurology (C.E., S.F.-H., F.F., T.G.) and Division of Neuroradiology, Department of Radiology (C.E., T.G.), Medical University of Graz, Austria; Department of Neurology (E.E., N.Y.), Istanbul University, Istanbul Faculty of Medicine, Turkey; Center for Neurovascular Diseases, Department of Neurology (A.F., U.W.-A.), Haukeland University Hospital, Bergen, Norway; SARAH Hospital of Rehabilitation (T.F.H., V. Montanaro), Brasilia, Brazil; Department of Laboratory Medicine, Institute of Biomedicine (C.J.), and Institute of Neuroscience and Physiology (K.J.), the Sahlgrenska Academy, University of Gothenburg; Departments of Clinical Genetics and Genomics (C.J.) and Neurology (K.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurology (K.Y.S.), College of Medicine, Hanyang University, Seoul, South Korea; Department of Neurology (S.K.), Veterans Affairs Maryland Health Care System, University of Maryland School of Medicine, Baltimore; Department of Neurology (T.K.), Royal Adelaide Hospital, Australia; Department of Neurology and Neurosurgery (J.K., R.V.), University of Tartu, Estonia; Neurological Institute (V.K., V. Mifsud, B.P.-J.), Cleveland Clinic Abu Dhabi, United Arab Emirates; Department of Neurology (T.-H.L.), Chang Gung Memorial Hospital, Linkou Medical Center; College of Medicine (T.-H.L.), Chang Gung University, Guishan, Taoyuan, Taiwan; Department of Neurology (J.P.M., M.V.-B.), Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental and CEDOC, NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal; Department of Neurology (M.M.M.), G.B. Pant Institute of Medical Education and Research (GIPMER), New Delhi, India; Department of Neurology (V.B.P.), Nelson R. Mandela School of Medicine, Inkosi Albert Luthuli Central Hospital, Mayville, South Africa; Department of Neurology (M.C.P.), Waikato Hospital, Hamilton, New Zealand; Department of Medicine (Neurology), University Health Network (A. Pikula), and Department of Medicine (Neurology) (R.H.S.), Sunnybrook Health Sciences Center, University of Toronto, Canada; Department of Neurology (J.R.-S.), Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Mexico; Department of Neurology (B.v.S.), University Medicine, Greifswald, Germany; Department of Medicine (K.-S.T.), University of Malaya, Kuala Lumpur; Rambam Healthcare Campus (D.T.), Haifa, Israel; Stroke Theme (V.T.), Florey Institute of Neuroscience and Mental Health, University of Melbourne; Department of Neurology (V.T.), Austin Health, Melbourne, Victoria, Australia; Department of Neurology (T.Y.W.), Christchurch Hospital, New Zealand; and Department of Clinical and Experimental Sciences (A. Pezzini), Neurology Clinic, University of Brescia, Italy.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Frank-Erik de Leeuw
- From Donders Institute for Brain, Cognition and Behaviour (M.A.J., M.S.E., Y.A., M.C., C.J.M.K., A.M.T., F.-E.d.L.), Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands; Neurology (K.A., N.M.-M., T.T., J.P.), Helsinki University Hospital and University of Helsinki, Finland; National Institute of Neurology and Neurosurgery of Mexico (A.A.), Manuel Velasco Suárez, Mexico City; Department of Neurology (M.A.), Inselspital, University Hospital, University of Bern, Switzerland; Cerebrovascular Disease Center (H.-J.B., K.-J.L.), Seoul National University College of Medicine, Seoul National University Bundang Hospital, South Korea; Neurology Department (L.B., P.B., G.P.), Hospital Británico de Buenos Aires, Argentina; Neurosciences Department (M.A.B.), Hospital Dr. Rafael A. Calderon Guardia, CCSS, San Jose, Costa Rica; Neurocenter (M.B., N.A.M.M.), Department of Neurology and Neurorehabilitation, Lucerne Cantonal Hospital, Luzern, Switzerland; The Faculty of Medicine and Pharmacy (R.B.), Vrije Universiteit Brussel, Jette, Belgium; Department of Neurology (R.B.), ZorgSaam Hospital, Terneuzen, the Netherlands; International School of Traditional Medicine (B.C.) and Department of Neurology, School of Medicine (B.D.), Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia; Department of Global Health (E.C.), School of Public Health, Taipei Medical University, Taiwan; U1172-LilNCog-Lille Neuroscience & Cognition (C.C.), Univ Lille, Inserm, CHU Lille; Team VINTAGE (S.D.), Bordeaux Population Health Research Center, Inserm, University of Bordeaux, France; School of Medicine (A.D.) and Department of Epidemiology and Preventive Medicine, School of Public Health (D.T.), Sackler Faculty of Medicine, Tel Aviv University, Israel; Department of Neurology (C.E., S.F.-H., F.F., T.G.) and Division of Neuroradiology, Department of Radiology (C.E., T.G.), Medical University of Graz, Austria; Department of Neurology (E.E., N.Y.), Istanbul University, Istanbul Faculty of Medicine, Turkey; Center for Neurovascular Diseases, Department of Neurology (A.F., U.W.-A.), Haukeland University Hospital, Bergen, Norway; SARAH Hospital of Rehabilitation (T.F.H., V. Montanaro), Brasilia, Brazil; Department of Laboratory Medicine, Institute of Biomedicine (C.J.), and Institute of Neuroscience and Physiology (K.J.), the Sahlgrenska Academy, University of Gothenburg; Departments of Clinical Genetics and Genomics (C.J.) and Neurology (K.J.), Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Neurology (K.Y.S.), College of Medicine, Hanyang University, Seoul, South Korea; Department of Neurology (S.K.), Veterans Affairs Maryland Health Care System, University of Maryland School of Medicine, Baltimore; Department of Neurology (T.K.), Royal Adelaide Hospital, Australia; Department of Neurology and Neurosurgery (J.K., R.V.), University of Tartu, Estonia; Neurological Institute (V.K., V. Mifsud, B.P.-J.), Cleveland Clinic Abu Dhabi, United Arab Emirates; Department of Neurology (T.-H.L.), Chang Gung Memorial Hospital, Linkou Medical Center; College of Medicine (T.-H.L.), Chang Gung University, Guishan, Taoyuan, Taiwan; Department of Neurology (J.P.M., M.V.-B.), Hospital de Egas Moniz, Centro Hospitalar Lisboa Ocidental and CEDOC, NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal; Department of Neurology (M.M.M.), G.B. Pant Institute of Medical Education and Research (GIPMER), New Delhi, India; Department of Neurology (V.B.P.), Nelson R. Mandela School of Medicine, Inkosi Albert Luthuli Central Hospital, Mayville, South Africa; Department of Neurology (M.C.P.), Waikato Hospital, Hamilton, New Zealand; Department of Medicine (Neurology), University Health Network (A. Pikula), and Department of Medicine (Neurology) (R.H.S.), Sunnybrook Health Sciences Center, University of Toronto, Canada; Department of Neurology (J.R.-S.), Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Mexico; Department of Neurology (B.v.S.), University Medicine, Greifswald, Germany; Department of Medicine (K.-S.T.), University of Malaya, Kuala Lumpur; Rambam Healthcare Campus (D.T.), Haifa, Israel; Stroke Theme (V.T.), Florey Institute of Neuroscience and Mental Health, University of Melbourne; Department of Neurology (V.T.), Austin Health, Melbourne, Victoria, Australia; Department of Neurology (T.Y.W.), Christchurch Hospital, New Zealand; and Department of Clinical and Experimental Sciences (A. Pezzini), Neurology Clinic, University of Brescia, Italy.
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31
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Jiang X, Morgenstern LB, Cigolle CT, Wang L, Claflin ES, Lisabeth LD. Multiple Chronic Conditions Explain Ethnic Differences in Functional Outcome Among Patients With Ischemic Stroke. Stroke 2022; 53:120-127. [PMID: 34517767 PMCID: PMC8712371 DOI: 10.1161/strokeaha.120.032595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE Mexican Americans (MAs) have worse stroke outcomes and a different profile of multiple chronic conditions (MCC) compared with non-Hispanic White people. MCC has implications for stroke treatment, complications, and poststroke care, which impact poststroke functional outcome (FO). We sought to assess the contribution of MCC to the ethnic difference in FO at 90 days between MAs and non-Hispanic White people. METHODS In a prospective cohort of ischemic stroke patients (2008-2016) from Nueces County, Texas, data were collected from patient interviews, medical records, and hospital discharge data. MCC was assessed using a stroke-specific and function-relevant index (range, 0-35; higher scores greater MCC burden). Poststroke FO was measured by an average score of 22 activities of daily living (ADLs) and instrumental ADLs at 90 days (range, 1-4; higher scores worse FO). The contribution of MCC to the ethnic difference in FO was assessed using Tobit regression. Effect modification by ethnicity was examined. RESULTS Among the 896 patients, 70% were MA and 51% were women. Mean age was 68±12.2 years; 33% of patients were dependent in ADL/instrumental ADLs (FO score >3, representing a lot of difficulty with ADL/instrumental ADLs) at 90 days. MAs had significantly higher age-adjusted MCC burden compared with non-Hispanic White people. Patients with high MCC score (at the 75th percentile) on average scored 0.70 points higher in the FO score (indicating worse FO) compared with those with low MCC score (at the 25th percentile) after adjusting for age, initial National Institutes of Health Stroke Scale, and sociodemographic factors. MCC explained 19% of the ethnic difference in FO, while effect modification by ethnicity was not statistically significant. CONCLUSIONS MAs had a higher age-adjusted MCC burden, which partially explained the ethnic difference in FO. The prevention and treatment of MCC could potentially mitigate poststroke functional impairment and lessen ethnic disparities in stroke outcomes.
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Affiliation(s)
- Xiaqing Jiang
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Lewis B. Morgenstern
- Department of Epidemiology, School of Public Health, University of Michigan, Stroke Program, University of Michigan Medical School
| | - Christine T. Cigolle
- Department of Family Medicine and Internal Medicine, University of Michigan Medical School, Geriatric Research, Education and Clinical Center, VA Ann Arbor Healthcare System
| | - Lu Wang
- Department of Biostatistics, School of Public Health, University of Michigan
| | - Edward S. Claflin
- Stroke Program, University of Michigan Medical School, Department of Physical Medicine and Rehabilitation, University of Michigan Medical School
| | - Lynda D. Lisabeth
- Department of Epidemiology, School of Public Health, University of Michigan, Stroke Program, University of Michigan Medical School
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32
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Koltsova EA, Petrova EA, Borshch YV. [An overview of risk factors for stroke]. Zh Nevrol Psikhiatr Im S S Korsakova 2022; 122:12-19. [PMID: 36582156 DOI: 10.17116/jnevro202212212212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Stroke is a heterogeneous syndrome, and the definition of risk factors, treatment and prevention tactics depends on the specific pathogenesis of the disease. Risk factors for ischemic and hemorrhagic stroke are similar, but at the same time there are significant differences. The concept of stroke triggers is discussed separately. In addition, a deep understanding of the pathogenetic mechanisms and the development of new strategies for therapy and prevention require an understanding of the genetic mechanisms of stroke risk. Genetic factors may be more modifiable than previously thought. To reduce the burden of stroke in the population, timely identification and management of modifiable risk factors is essential.
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Affiliation(s)
- E A Koltsova
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - E A Petrova
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - Y V Borshch
- Pirogov Russian National Research Medical University, Moscow, Russia
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33
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Stead T, Ganti L, McCauley E, Koumans H, Wilson M, Weech MD, Barbera AR, Banerjee PR. What Do Spanish Speakers Think of the Andar, Hablar, Ojos, Rostro, Ambos Brazos o Piernas (AHORA) Stroke Tool? Cureus 2021; 13:e20720. [PMID: 35111419 PMCID: PMC8792122 DOI: 10.7759/cureus.20720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/25/2021] [Indexed: 11/05/2022] Open
Abstract
AHORA (Andar, Hablar, Ojos, Rostro, Ambos Brazos o Piernas) is a Spanish language tool to identify stroke symptoms. A survey of 300 primarily Spanish-speaking, non-medical professionals was conducted to assess the acceptance of the tool, specifically about ease of understanding and ability to implement it. The overwhelming majority of respondents reacted very positively to the tool, finding it quite easy to learn, teach, and understand. Respondent feedback, pitfalls, and questions for further research are presented.
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34
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Mital R, Bayne J, Rodriguez F, Ovbiagele B, Bhatt DL, Albert MA. Race and Ethnicity Considerations in Patients With Coronary Artery Disease and Stroke: JACC Focus Seminar 3/9. J Am Coll Cardiol 2021; 78:2483-2492. [PMID: 34886970 DOI: 10.1016/j.jacc.2021.05.051] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/26/2021] [Accepted: 05/18/2021] [Indexed: 01/29/2023]
Abstract
Notable racial and ethnic differences and disparities exist in coronary artery disease (CAD) and stroke epidemiology and outcomes despite substantial advances in these fields. Racial and ethnic minority subgroups remain underrepresented in population data and clinical trials contributing to incomplete understanding of these disparities. Differences in traditional cardiovascular risk factors such as hypertension and diabetes play a role; however, disparities in care provision and process, social determinants of health including socioeconomic position, neighborhood environment, sociocultural factors, and racial discrimination within and outside of the health care system also drive racial and ethnic CAD and stroke disparities. Improved culturally congruent and competent communication about risk factors and symptoms is also needed. Opportunities to achieve improved and equitable outcomes in CAD and stroke must be identified and pursued.
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Affiliation(s)
- Rohit Mital
- Center for the Study of Adversity and Cardiovascular Disease (NURTURE Center), Division of Cardiology, Department of Medicine, University of California-San Francisco, San Francisco, California, USA
| | - Joseph Bayne
- Center for the Study of Adversity and Cardiovascular Disease (NURTURE Center), Division of Cardiology, Department of Medicine, University of California-San Francisco, San Francisco, California, USA
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine and the Cardiovascular Institute, Department of Medicine, Stanford University, Stanford, California, USA
| | - Bruce Ovbiagele
- Department of Neurology, University of California-San Francisco, San Francisco, California, USA
| | - Deepak L Bhatt
- Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Michelle A Albert
- Center for the Study of Adversity and Cardiovascular Disease (NURTURE Center), Division of Cardiology, Department of Medicine, University of California-San Francisco, San Francisco, California, USA.
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35
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Lisabeth LD, Brown DL, Zahuranec DB, Kim S, Lim J, Kerber KA, Meurer WJ, Case E, Smith MA, Campbell MS, Morgenstern LB. Temporal Trends in Ischemic Stroke Rates by Ethnicity, Sex, and Age (2000-2017): The Brain Attack Surveillance in Corpus Christi Project. Neurology 2021; 97:e2164-e2172. [PMID: 34584014 PMCID: PMC8641969 DOI: 10.1212/wnl.0000000000012877] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 09/21/2021] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE To compare 18-year (2000-2017) temporal trends in ischemic stroke rates by ethnicity, sex, and age. METHODS Data are from a population-based stroke surveillance study conducted in Nueces County, Texas, a geographically isolated, biethnic, urban community. Active (screening hospital admission logs, hospital wards, intensive care units) and passive (screening inpatient/emergency department discharge diagnosis codes) surveillance were used to identify cases aged ≥45 (n = 4,875) validated by stroke physicians using a consistent stroke definition over time. Ischemic stroke rates were derived from Poisson regression using annual population counts from the US Census to estimate the at-risk population. RESULTS In those aged 45-59 years, rates increased in non-Hispanic Whites (104.3% relative increase; p < 0.001) but decreased in Mexican Americans (-21.9%; p = 0.03) such that rates were significantly higher in non-Hispanic Whites in 2016-2017 (p for ethnicity-time interaction < 0.001). In those age 60-74, rates declined in both groups but more so in Mexican Americans (non-Hispanic Whites -18.2%, p = 0.05; Mexican Americans -40.1%, p = 0.002), resulting in similar rates for the 2 groups in 2016-2017 (p for ethnicity-time interaction = 0.06). In those aged ≥75, trends did not vary by ethnicity, with declines noted in both groups (non-Hispanic Whites -33.7%, p = 0.002; Mexican Americans -26.9%, p = 0.02). Decreases in rates were observed in men (age 60-74, -25.7%, p = 0.009; age ≥75, -39.2%, p = 0.002) and women (age 60-74, -34.3%, p = 0.007; age ≥75, -24.0%, p = 0.02) in the 2 older age groups, while rates did not change in either sex in those age 45-59. CONCLUSION Previously documented ethnic stroke incidence disparities have ended as a result of declining rates in Mexican Americans and increasing rates in non-Hispanic Whites, most notably in midlife.
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Affiliation(s)
- Lynda D Lisabeth
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX.
| | - Devin L Brown
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - Darin B Zahuranec
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - Sehee Kim
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - Jaewon Lim
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - Kevin A Kerber
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - William J Meurer
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - Erin Case
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - Melinda A Smith
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - Morgan S Campbell
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
| | - Lewis B Morgenstern
- From the Departments of Epidemiology (L.D.L., E.C., M.A.S, L.B.M.) and Biostatistics (S.K., J.L.), University of Michigan School of Public Health; Stroke Program (L.D.L., D.L.B., D.B.Z., K.A.K., W.J.M., M.A.S, L.B.M.) and Department of Emergency Medicine (W.J.M., L.B.M.), University of Michigan Medical School, Ann Arbor; and CHRISTUS Spohn Hospitals (M.S.C.), CHRISTUS Health System, Corpus Christi, TX
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Abstract
Neurologic health disparities are created and perpetuated by structural and social determinants of health. These factors include, but are not limited to, interpersonal bias, institutional factors that lead to disparate access to care, and neighborhood-level factors, such as socioeconomic status, segregation, and access to healthy food. Effects of these determinants of health can be seen throughout neurology, including in stroke, epilepsy, headache, amyotrophic lateral sclerosis, multiple sclerosis, and dementia. Interventions to improve neurologic health equity require multilayered approaches to address these interdependent factors that create and perpetuate disparate neurologic health access and outcomes.
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Affiliation(s)
- Nicole Rosendale
- Neurohospitalist Division, Department of Neurology, University of California San Francisco, 1001 Potrero Avenue, Building 1, Room 101, Box 0870, San Francisco, CA 94110, USA.
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Banerjee P, Koumans H, Weech MD, Wilson M, Rivera-Morales M, Ganti L. AHORA: a Spanish language tool to identify acute stroke symptoms. Stroke Vasc Neurol 2021; 7:176-178. [PMID: 34702749 PMCID: PMC9067269 DOI: 10.1136/svn-2021-001280] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 09/09/2021] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE To develop a Spanish language tool for acute stroke identification. METHODS A Spanish language translation of the Balance-Eyes-Face-Arm-Speech-Time tool was developed within our emergency medical services agency. RESULTS The authors present a new prehospital stroke tool, Andar, Hablar, Ojos, Rostro and Ambos Brazos o Piernas (AHORA) (which means now in Spanish) to help combat the language barrier and reinforce the necessity to call 9-1-1 as soon as any stroke symptoms are noted. CONCLUSION AHORA is a Spanish language tool that aims to help Spanish-speaking individuals to identify an acute stroke and obtain prompt help.
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Affiliation(s)
- Paul Banerjee
- Fire Rescue, Polk County Florida, Bartow, Florida, USA.,Department of Emergency Medicine, University of Central Florida College of Medicine, Orlando, Florida, USA.,Osceola Regional Medical Center, Kissimmee, Florida, USA
| | - Helene Koumans
- Department of Biology and Medicine, Brown University, Providence, Rhode Island, USA
| | | | - Maricela Wilson
- Stroke Community Outreach, Seton Healthcare Family, Austin, Texas, USA
| | - Mark Rivera-Morales
- Department of Emergency Medicine, University of Central Florida College of Medicine, Orlando, Florida, USA.,Osceola Regional Medical Center, Kissimmee, Florida, USA
| | - Latha Ganti
- Fire Rescue, Polk County Florida, Bartow, Florida, USA .,Department of Emergency Medicine, University of Central Florida College of Medicine, Orlando, Florida, USA.,Osceola Regional Medical Center, Kissimmee, Florida, USA.,Department of Neurology, University of Central Florida College of Medicine, Orlando, Florida, USA
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38
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Forman R, Sheth K. Race/Ethnicity Considerations in the Prevention and Treatment of Stroke. Curr Treat Options Neurol 2021. [DOI: 10.1007/s11940-021-00684-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Bricknell RA, Ducaud C, Figueroa A, Schwarzman LS, Rodriguez P, Castro G, Zevallos JC, Barengo NC. An association between electronic nicotine delivery systems use and a history of stroke using the 2016 behavioral risk factor surveillance system. Medicine (Baltimore) 2021; 100:e27180. [PMID: 34516517 PMCID: PMC8428735 DOI: 10.1097/md.0000000000027180] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 07/29/2021] [Accepted: 08/20/2021] [Indexed: 01/05/2023] Open
Abstract
ABSTRACT Electronic nicotine delivery systems (ENDS) are growing in use and many of the health implications with these devices remain unknown. This study aims to assess, using a survey representative of the USA general population, if an association exists between a history of ENDS use and a history of stroke.This cross-sectional study was a secondary data analysis using the 2016 behavioral risk factor surveillance system survey. The main exposure variable of the study was a self-reported history of ENDS use. The main outcome was a self-reported history of stroke. Covariates included sex, race, traditional cigarette use, smokeless tobacco use, chronic kidney disease, diabetes, myocardial infarction, and coronary artery disease. Unadjusted and adjusted logistic regression analyses were done. Adjusted odds ratios (AOR) and their corresponding 95% confidence intervals (CI) were calculated.Of the 486,303 total behavioral risk factor surveillance system survey participants, 465,594 met the inclusion criteria for this study of ENDS use and stroke. This study shows that current ENDS use was positively associated with a history of stroke. AOR of some daily ENDS use with stroke was 1.28 (95% CI: 1.02-1.61) and AOR of current daily ENDS use with stroke was 1.62 (95% CI: 1.18-2.31). The majority (55.9%) of current daily ENDS users reported former traditional cigarette smoking. Female sex, non-white ethnicity, elderly age, chronic kidney disease, coronary artery disease, diabetes, and traditional cigarette use characteristics were all also associated with increased odds of reporting a stroke.This study found a statistically significant and positive association between ENDS use and a history of stroke. Further research is warranted to investigate the reproducibility and temporality of this association. Nevertheless, this study contributes to the growing body of knowledge about the potential cardiovascular concerns related to ENDS use and the need for large cohort studies.
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Affiliation(s)
| | | | | | | | - Pura Rodriguez
- Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL
| | - Grettel Castro
- Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL
| | | | - Noël C. Barengo
- Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL
- Faculty of Medicine, Riga Stradins University, Riga, Latvia
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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40
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Abstract
PURPOSE OF REVIEW Summarize and examine the epidemiology, etiologies, risk factors, and treatment of stroke among young adults and highlight the importance of early recognition, treatment, and primordial prevention of risk factors that lead to stroke. RECENT FINDINGS Incidence of stroke, predominantly ischemic, among young adults has increased over the past two decades. This parallels an increase in traditional risk factors such as hypertension, diabetes, and use of tobacco, and use of illicit substances among young stroke patients. Compared to older patients, there is a much higher proportion of intracerebral and subarachnoid hemorrhage in young adults. The cause of ischemic stroke in young adults is also more diverse compared to older adults with 1/3rd classified as stroke of undetermined etiology due to inadequate effort or time spent on investigating these diverse and rare etiologies. Young premature Atherosclerotic Cardiovascular Disease patients have suboptimal secondary prevention care compared to older patients with lower use of antiplatelets and statin therapy and lower adherence to statins. SUMMARY Among young patients, time-critical diagnosis and management remain challenging, due to atypical stroke presentations, vast etiologies, statin hesitancy, and provider clinical inertia. Early recognition and aggressive risk profile modification along with primary and secondary prevention therapy optimization are imperative to reduce the burden of stroke among young adults and save potential disability-adjusted life years.
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Mehta AM, Fifi JT, Shoirah H, Shigematsu T, Oxley TJ, Kellner CP, Leacy RD, Mocco J, Majidi S. Racial and Socioeconomic Disparities in the Use and Outcomes of Endovascular Thrombectomy for Acute Ischemic Stroke. AJNR Am J Neuroradiol 2021; 42:1576-1583. [PMID: 34353781 DOI: 10.3174/ajnr.a7217] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 04/26/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Racial and socioeconomic disparities in the incidence, treatment, and outcomes of acute ischemic stroke exist and have been described. We aimed to characterize disparities in the use of endovascular thrombectomy in a nationally representative analysis. MATERIALS AND METHODS Discharge data from the Nationwide Inpatient Sample between 2006 and 2016 were queried using validated International Classification of Disease codes. Patients admitted to US hospitals with acute ischemic stroke were included and stratified on the basis of race, income, and primary payer. Trends in endovascular thrombectomy use, good outcome (discharge to home/acute rehabilitation), and poor outcome (discharge to skilled nursing facility, hospice, in-hospital mortality) were studied using univariate and multivariable analyses. RESULTS In this analysis of 1,322,162 patients, endovascular thrombectomy use increased from 53/111,829 (0.05%) to 3054/146,650 (2.08%) between 2006 and 2016, respectively. Less increase was observed in black patients from 4/12,733 (0.03%) to 401/23,836 (1.68%) and those in the lowest income quartile from 10/819 (0.03%) to 819/44,984 (1.49%). Greater increase was observed in the highest income quartile from 18/22,138 (0.08%) to 669/27,991 (2.39%). Black race predicted less endovascular thrombectomy use (OR = 0.79; 95% CI, 0.72-0.86). The highest income group predicted endovascular thrombectomy use (OR = 1.24; 95% CI, 1.13-1.36) as did private insurance (OR = 1.30; 95% CI, 1.23-1.38). High income predicted good outcome (OR = 1.10; 95% CI. 1.06-1.14), as did private insurance (OR = 1.36; 95% CI, 1.31-1.39). Black race predicted poor outcome (OR = 1.33; 95% CI, 1.30-1.36). All results were statistically significant (P < .01). CONCLUSIONS Despite a widespread increase in endovascular thrombectomy use, black and low-income patients may be less likely to receive endovascular thrombectomy. Future effort should attempt to better understand the causes of these disparities and develop strategies to ensure equitable access to potentially life-saving treatment.
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Affiliation(s)
- A M Mehta
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York.,Department of Neurology (A.M.M.), Columbia University, New York, New York
| | - J T Fifi
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York
| | - H Shoirah
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York
| | - T Shigematsu
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York
| | - T J Oxley
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York
| | - C P Kellner
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York
| | - R De Leacy
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York
| | - J Mocco
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York
| | - S Majidi
- From the Department of Neurosurgery (A.M.M., J.T.F., H.S., T.S., T.J.O., C.P.K., R.D.L., J.M., S.M.), Icahn School of Medicine at Mount Sinai, New York, New York
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Kittner SJ, Sekar P, Comeau ME, Anderson CD, Parikh GY, Tavarez T, Flaherty ML, Testai FD, Frankel MR, James ML, Sung G, Elkind MSV, Worrall BB, Kidwell CS, Gonzales NR, Koch S, Hall CE, Birnbaum L, Mayson D, Coull B, Malkoff MD, Sheth KN, McCauley JL, Osborne J, Morgan M, Gilkerson LA, Behymer TP, Demel SL, Moomaw CJ, Rosand J, Langefeld CD, Woo D. Ethnic and Racial Variation in Intracerebral Hemorrhage Risk Factors and Risk Factor Burden. JAMA Netw Open 2021; 4:e2121921. [PMID: 34424302 PMCID: PMC8383133 DOI: 10.1001/jamanetworkopen.2021.21921] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 06/15/2021] [Indexed: 12/19/2022] Open
Abstract
Importance Black and Hispanic individuals have an increased risk of intracerebral hemorrhage (ICH) compared with their White counterparts, but no large studies of ICH have been conducted in these disproportionately affected populations. Objective To examine the prevalence, odds, and population attributable risk (PAR) percentage for established and novel risk factors for ICH, stratified by ICH location and racial/ethnic group. Design, Setting, and Participants The Ethnic/Racial Variations of Intracerebral Hemorrhage Study was a case-control study of ICH among 3000 Black, Hispanic, and White individuals who experienced spontaneous ICH (1000 cases in each group). Recruitment was conducted between September 2009 and July 2016 at 19 US sites comprising 42 hospitals. Control participants were identified through random digit dialing and were matched to case participants by age (±5 years), sex, race/ethnicity, and geographic area. Data analyses were conducted from January 2019 to May 2020. Main Outcomes and Measures Case and control participants underwent a standardized interview, physical measurement for body mass index, and genotyping for the ɛ2 and ɛ4 alleles of APOE, the gene encoding apolipoprotein E. Prevalence, multivariable adjusted odds ratio (OR), and PAR percentage were calculated for each risk factor in the entire ICH population and stratified by racial/ethnic group and by lobar or nonlobar location. Results There were 1000 Black patients (median [interquartile range (IQR)] age, 57 [50-65] years, 425 [42.5%] women), 1000 Hispanic patients (median [IQR] age, 58 [49-69] years; 373 [37.3%] women), and 1000 White patients (median [IQR] age, 71 [59-80] years; 437 [43.7%] women). The mean (SD) age of patients with ICH was significantly lower among Black and Hispanic patients compared with White patients (eg, lobar ICH: Black, 62.2 [15.2] years; Hispanic, 62.5 [15.7] years; White, 71.0 [13.3] years). More than half of all ICH in Black and Hispanic patients was associated with treated or untreated hypertension (PAR for treated hypertension, Black patients: 53.6%; 95% CI, 46.4%-59.8%; Hispanic patients: 46.5%; 95% CI, 40.6%-51.8%; untreated hypertension, Black patients: 45.5%; 95% CI, 39.%-51.1%; Hispanic patients: 42.7%; 95% CI, 37.6%-47.3%). Lack of health insurance also had a disproportionate association with the PAR percentage for ICH in Black and Hispanic patients (Black patients: 21.7%; 95% CI, 17.5%-25.7%; Hispanic patients: 30.2%; 95% CI, 26.1%-34.1%; White patients: 5.8%; 95% CI, 3.3%-8.2%). A high sleep apnea risk score was associated with both lobar (OR, 1.68; 95% CI, 1.36-2.06) and nonlobar (OR, 1.62; 95% CI, 1.37-1.91) ICH, and high cholesterol was inversely associated only with nonlobar ICH (OR, 0.60; 95% CI, 0.52-0.70); both had no interactions with race and ethnicity. In contrast to the association between the ɛ2 and ɛ4 alleles of APOE and ICH in White individuals (eg, presence of APOE ɛ2 allele: OR, 1.84; 95% CI, 1.34-2.52), APOE alleles were not associated with lobar ICH among Black or Hispanic individuals. Conclusions and Relevance This study found sleep apnea as a novel risk factor for ICH. The results suggest a strong contribution from inadequately treated hypertension and lack of health insurance to the disproportionate burden and earlier onset of ICH in Black and Hispanic populations. These findings emphasize the importance of addressing modifiable risk factors and the social determinants of health to reduce health disparities.
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Affiliation(s)
- Steven J. Kittner
- Geriatric Research and Education Clinical Center, Department of Neurology, Baltimore Veterans Administration Medical Center, University of Maryland School of Medicine, Baltimore
| | - Padmini Sekar
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Mary E. Comeau
- Department of Biostatistics and Data Science, Wake Forest University, Winston-Salem, North Carolina
| | - Christopher D. Anderson
- Henry and Allison McCance Center for Brain Health and Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Gunjan Y. Parikh
- Department of Neurology, University of Maryland School of Medicine, Baltimore
| | - Tachira Tavarez
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
| | - Matthew L. Flaherty
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Fernando D. Testai
- Department of Neurology and Rehabilitation Medicine, University of Illinois College of Medicine, Chicago, Illinois
| | - Michael R. Frankel
- Department of Neurology, Emory University, Grady Memorial Hospital, Atlanta, Georgia
| | - Michael L. James
- Departments of Anesthesiology and Neurology, Duke University, Durham, North Carolina
| | - Gene Sung
- Neurocritical Care and Stroke Division, University of Southern California, Los Angeles
| | - Mitchell S. V. Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Bradford B. Worrall
- Departments of Neurology and Public Health Sciences, University of Virginia, Charlottesville
| | | | - Nicole R. Gonzales
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | - Sebastian Koch
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida
| | - Christiana E. Hall
- Department of Neurology and Neurotherapeutics, University of Texas–Southwestern, Dallas
| | - Lee Birnbaum
- Department of Neurology, University of Texas–San Antonio
| | - Douglas Mayson
- Department of Neurology, Medstar Georgetown University Hospital, Washington, DC
| | - Bruce Coull
- Department of Neurology, University of Arizona–Tucson
| | - Marc D. Malkoff
- Department of Neurology and Neurosurgery, University of Tennessee Health Sciences, Memphis
| | - Kevin N. Sheth
- Department of Neurology, Yale University, New Haven, Connecticut
| | - Jacob L. McCauley
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
| | - Jennifer Osborne
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Misty Morgan
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Lee A. Gilkerson
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Tyler P. Behymer
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Stacie L. Demel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Charles J. Moomaw
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Jonathan Rosand
- Henry and Allison McCance Center for Brain Health and Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Wake Forest University, Winston-Salem, North Carolina
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
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Brown DL, Yadollahi A, He K, Xu Y, Piper B, Case E, Chervin RD, Lisabeth LD. Overnight Rostral Fluid Shifts Exacerbate Obstructive Sleep Apnea After Stroke. Stroke 2021; 52:3176-3183. [PMID: 34266303 DOI: 10.1161/strokeaha.120.032688] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Overnight shifts of fluid from lower to upper compartments exacerbate obstructive sleep apnea (OSA) in some OSA populations. Given the high prevalence of OSA after stroke, decreased mobility and use of IV fluids among hospitalized patients with stroke, and improvement in OSA in the months after stroke, we hypothesized that overnight fluid shifts occur and are associated with OSA among patients with subacute ischemic stroke. METHODS Within a population-based project, we performed overnight sleep apnea tests (ApneaLink Plus) during ischemic stroke hospitalizations. Before sleep that evening, and the following morning before rising from bed, we assessed neck and calf circumference, and leg fluid volume (bioimpedance spectroscopy). The average per subject overnight change in the 3 fluid shift measurements was calculated and compared with zero. Linear regression was used to test the crude association between each of the 3 fluid shift measurements and the respiratory event index (REI). RESULTS Among the 292 participants, mean REI was 24 (SD=18). Within individuals, calf circumference decreased on average by 0.66 cm (SD=0.75 cm, P<0.001), leg fluid volume decreased by a mean of 135.6 mL (SD=132.8 mL, P<0.001), and neck circumference increased by 0.20 cm (SD=1.71 cm, P=0.07). In men, when the overnight change of calf circumference was negative, an interquartile range (0.8 cm) decrease in calf circumference overnight was significantly associated with a 25.1% increase in REI (P=0.02); the association was not significant in women. The relationship between overnight change in leg fluid volume and REI was U shaped. CONCLUSIONS This population-based, multicenter, cross-sectional study showed that in hospitalized patients with ischemic stroke, nocturnal rostral fluid shifts occurred, and 2 of the 3 measures were associated with greater OSA severity. Interventions that limit overnight fluid shifts should be tested as potential treatments for OSA among patients with subacute ischemic stroke.
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Affiliation(s)
- Devin L Brown
- Stroke Program, University of Michigan, Ann Arbor. (D.L.B., L.D.L.)
| | - Azadeh Yadollahi
- University Health Network-Toronto Rehabilitation Institute, Canada (A.Y., B.P.).,Institute of Biomaterials & Biomedical Engineering, University of Toronto, Canada (A.Y., B.P.)
| | - Kevin He
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor. (K.H., Y.X.)
| | - Yuliang Xu
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor. (K.H., Y.X.)
| | - Bryan Piper
- University Health Network-Toronto Rehabilitation Institute, Canada (A.Y., B.P.).,Institute of Biomaterials & Biomedical Engineering, University of Toronto, Canada (A.Y., B.P.)
| | - Erin Case
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor. (E.C., L.D.L.)
| | - Ronald D Chervin
- Sleep Disorders Center and Department of Neurology, University of Michigan, Ann Arbor. (R.D.C.)
| | - Lynda D Lisabeth
- Stroke Program, University of Michigan, Ann Arbor. (D.L.B., L.D.L.).,Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor. (E.C., L.D.L.)
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Dong L, Williams LS, Brown DL, Case E, Morgenstern LB, Lisabeth LD. Prevalence and Course of Depression During the First Year After Mild to Moderate Stroke. J Am Heart Assoc 2021; 10:e020494. [PMID: 34184539 PMCID: PMC8403325 DOI: 10.1161/jaha.120.020494] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/19/2021] [Indexed: 01/18/2023]
Abstract
Background This study examined the prevalence and longitudinal course of depression during the first year after mild to moderate stroke. Methods and Results We identified patients with mild to moderate ischemic stroke or intracerebral hemorrhage (National Institutes of Health Stroke Scale score <16) and at least 1 depression assessment at 3, 6, or 12 months after stroke (n=648, 542, and 533, respectively) from the Brain Attack Surveillance in Corpus Christi project (2014-2016). Latent transition analysis was used to examine temporal profiles of depressive symptoms assessed by the 8-item Patient Health Questionnaire between 3 and 12 months after stroke. Mean age was 65.6 years, 49.4% were women, and 56.7% were Mexican Americans. The prevalence of depression after stroke was 35.3% at 3 months, decreased to 24.9% at 6 months, and remained stable at 25.7% at 12 months. Approximately half of the participants classified as having depression at 3 or 6 months showed clinical improvement at the next assessment. Subgroups with distinct patterns of depressive symptoms were identified, including mild/no symptoms, predominant sleep disturbance and fatigue symptoms, affective symptoms, and severe/all symptoms. A majority of participants with mild/no symptoms retained this symptom pattern over time. The probability of transitioning to mild/no symptoms was higher before 6 months compared with the later period, and severe symptoms were more likely to persist after 6 months compared with the earlier period. Conclusions The observed dynamics of depressive symptoms suggest that depression after stroke tends to persist after 6 months among patients with mild to moderate stroke and should be continually monitored and appropriately managed.
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Affiliation(s)
- Liming Dong
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMI
| | - Linda S. Williams
- Health Services Research and Development Center for Health Information and CommunicationRoudebush VA Medical CenterIndianapolisIN
- Department of NeurologyIndiana University School of MedicineIndianapolisIN
- Regenstrief Institute, Inc.IndianapolisIN
| | - Devin L. Brown
- Stroke ProgramUniversity of Michigan Medical SchoolAnn ArborMI
| | - Erin Case
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMI
| | - Lewis B. Morgenstern
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMI
- Stroke ProgramUniversity of Michigan Medical SchoolAnn ArborMI
| | - Lynda D. Lisabeth
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMI
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McCarthy MJ, Sanchez A, Garcia YE, Bakas T. A systematic review of psychosocial interventions for Latinx and American Indian patient-family caregiver dyads coping with chronic health conditions. Transl Behav Med 2021; 11:1639-1654. [PMID: 34037222 DOI: 10.1093/tbm/ibab051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Latinx and American Indians experience high rates of chronic health conditions. Family members play a significant role as informal caregivers for loved ones with chronic conditions and both patients and family caregivers report poor psychosocial outcomes. This systematic review synthesizes published studies about psychosocial interventions for Latinx and American Indian care dyads to determine: (i) the benefits of these interventions; (ii) their distinguishing features or adaptations, and; (iii) recommendations for future intervention development. Out of 366 records identified, seven studies met inclusion criteria. Interventions demonstrated benefits to outcomes such as disease knowledge, caregiver self-efficacy and burden, patient and caregiver well-being, symptom distress, anxiety and depression, and dyadic communication. Distinguishing features included tailoring to cultural values, beliefs, and delivery preferences, participants' level of acculturation, and population-specific issues such as migratory stressors and support networks. Based upon this review, six recommendations for future intervention development are put forth.
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Affiliation(s)
- Michael J McCarthy
- Department of Social Work, College of Social and Behavioral Sciences, Northern Arizona University, Flagstaff, AZ, USA
| | - Angelica Sanchez
- Department of Sociology, College of Social and Behavioral Sciences, Northern Arizona University, Flagstaff, AZ, USA
| | - Y Evie Garcia
- Department of Educational Psychology, College of Education, Northern Arizona University, Arizona, Flagstaff, AZ, USA
| | - Tamilyn Bakas
- College of Nursing, University of Cincinnati, Cincinnati, OH, USA
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Tse WC, Grey C, Harwood M, Jackson R, Kerr A, Mehta S, Poppe K, Pylypchuk R, Wells S, Selak V. Risk of major bleeding by ethnicity and socioeconomic deprivation among 488,107 people in primary care: a cohort study. BMC Cardiovasc Disord 2021; 21:206. [PMID: 33892644 PMCID: PMC8063422 DOI: 10.1186/s12872-021-01993-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 04/07/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Antithrombotic medications (antiplatelets and anticoagulants) reduce the risk of cardiovascular disease (CVD), but with the disadvantage of increasing bleeding risk. Ethnicity and socioeconomic deprivation are independent predictors of major bleeds among patients without CVD, but it is unclear whether they are also predictors of major bleeds among patients with CVD or atrial fibrillation (AF) after adjustment for clinical variables. METHODS Prospective cohort study of 488,107 people in New Zealand Primary Care (including 64,420 Māori, the indigenous people of New Zealand) aged 30-79 years who had their CVD risk assessed between 2007 and 2016. Participants were divided into three mutually exclusive subgroups: (1) AF with or without CVD (n = 15,212), (2) CVD and no AF (n = 43,790), (3) no CVD or AF (n = 429,105). Adjusted hazards ratios (adjHRs) were estimated from Cox proportional hazards models predicting major bleeding risk for each of the three subgroups to determine whether ethnicity and socioeconomic deprivation are independent predictors of major bleeds in different cardiovascular risk groups. RESULTS In all three subgroups (AF, CVD, no CVD/AF), Māori (adjHR 1.63 [1.39-1.91], 1.24 [1.09-1.42], 1.57 [95% CI 1.45-1.70], respectively), Pacific people (adjHR 1.90 [1.58-2.28], 1.30 [1.12-1.51], 1.62 [95% CI 1.49-1.75], respectively) and Chinese people (adjHR 1.53 [1.08-2.16], 1.15 [0.90-1.47], 1.13 [95% CI 1.01-1.26], respectively) were at increased risk of a major bleed compared to Europeans, although for Chinese people the effect did not reach statistical significance in the CVD subgroup. Compared to Europeans, Māori and Pacific peoples were generally at increased risk of all bleed types (gastrointestinal, intracranial and other bleeds). An increased risk of intracranial bleeds was observed among Chinese and Other Asian people and, in the CVD and no CVD/AF subgroups, among Indian people. Increasing socioeconomic deprivation was also associated with increased risk of a major bleed in all three subgroups (adjHR 1.07 [1.02-1.12], 1.07 [1.03-1.10], 1.10 [95% CI 1.08-1.12], respectively, for each increase in socioeconomic deprivation quintile). CONCLUSION Ethnicity and socioeconomic status should be considered in bleeding risk assessments to guide the use of antithrombotic medication for the management of AF and CVD.
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Affiliation(s)
- Wai Chung Tse
- School of Medicine, Monash University, Clayton, Australia
| | - Corina Grey
- Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
| | - Matire Harwood
- General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Rod Jackson
- Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
| | - Andrew Kerr
- Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
- Middlemore Hospital, Auckland, New Zealand
| | - Suneela Mehta
- Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
| | - Katrina Poppe
- Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
| | - Romana Pylypchuk
- Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
| | - Sue Wells
- Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand
| | - Vanessa Selak
- Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
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Briceño EM, Mehdipanah R, Gonzales X, Heeringa S, Levine DA, Langa KM, Garcia N, Longoria R, Morgenstern LB. Methods and Early Recruitment of a Community-Based Study of Cognitive Impairment Among Mexican Americans and Non-Hispanic Whites: The BASIC-Cognitive Study. J Alzheimers Dis 2021; 73:185-196. [PMID: 31771059 DOI: 10.3233/jad-190761] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND As the Mexican American (MA) population grows and ages, there is an urgent need to estimate the prevalence of cognitive impairment or dementia (CID), cognitive trajectories, and identify community resource needs. The Brain Attack Surveillance in Corpus Christi (BASIC)-Cognitive project is a population-based study to address these issues among older MAs and non-Hispanic whites (NHW) and their informal care providers. OBJECTIVE Present the methodology and initial recruitment findings for the BASIC-Cognitive project. METHOD Random, door-to-door case ascertainment is used in Nueces County, Texas, to recruit community-dwelling and nursing home residents ≥65 and informal care providers. Households are identified from a two-stage area probability sample, using Census data to aim for equal balance of MAs and NHWs. Individuals with cognitive screens indicative of possible CID complete neuropsychological assessment (Harmonized Cognitive Assessment Protocol from the Health and Retirement Study). Informal care providers complete comprehensive interview and needs assessment. Study pairs repeat procedures at 2-year follow-up. Asset and concept mapping are performed to identify community resources and study care providers' perceptions of needs for individuals with CID. RESULTS 1,030 age-eligible households were identified, or 27% of households for whom age could be determined. 1,320 individuals were age-eligible, corresponding to 1.3 adults per eligible household. Initial recruitment yielded robust participation in the MA eligible population (60% of 689 individuals that completed cognitive screening). CONCLUSION The BASIC-Cognitive study will provide critical information regarding the prevalence of CID in MAs, the impact of caregiving, and allocation of community resources to meet the needs of this population.
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Affiliation(s)
- Emily M Briceño
- University of Michigan Medical School, Department of Physical Medicine & Rehabilitation, Ann Arbor, MI, USA
| | | | - Xavier Gonzales
- Texas A&M University, Department of Life Sciences, Corpus Christi, TX, USA
| | - Steven Heeringa
- University of Michigan Institute for Social Research, Ann Arbor, MI, USA
| | - Deborah A Levine
- University of Michigan Medical School, Department of Internal Medicine, Ann Arbor, MI, USA
| | - Kenneth M Langa
- University of Michigan Institute for Social Research, Ann Arbor, MI, USA.,University of Michigan Medical School, Department of Internal Medicine, Ann Arbor, MI, USA
| | - Nelda Garcia
- University of Michigan Medical School, Department of Neurology, Ann Arbor, MI, USA
| | - Ruth Longoria
- University of Michigan Medical School, Department of Neurology, Ann Arbor, MI, USA
| | - Lewis B Morgenstern
- University of Michigan, School of Public Health, Ann Arbor, MI, USA.,University of Michigan Medical School, Department of Neurology, Ann Arbor, MI, USA
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Khan SU, Khan MZ, Khan MU, Khan MS, Mamas MA, Rashid M, Blankstein R, Virani SS, Johansen MC, Shapiro MD, Blaha MJ, Cainzos-Achirica M, Vahidy FS, Nasir K. Clinical and Economic Burden of Stroke Among Young, Midlife, and Older Adults in the United States, 2002-2017. Mayo Clin Proc Innov Qual Outcomes 2021; 5:431-441. [PMID: 33997639 PMCID: PMC8105541 DOI: 10.1016/j.mayocpiqo.2021.01.015] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Objective To assess trends of stroke hospitalization rates, inpatient mortality, and health care resource use in young (aged ≤44 years), midlife (aged 45-64 years), and older (aged ≥65 years) adults. Patients and Methods We studied the National Inpatient Sample database (January 1, 2002 to December 31, 2017) to analyze stroke-related hospitalizations. We identified data using the International Classification of Diseases, Ninth/Tenth Revision codes. Results Of 11,381,390 strokes, 79% (n=9,009,007) were ischemic and 21% (n=2,372,383) were hemorrhagic. Chronic diseases were more frequent in older adults; smoking, alcoholism, and migraine were more prevalent in midlife adults; and coagulopathy and intravenous drug abuse were more common in young patients with stroke. The hospitalization rates of stroke per 10,000 increased overall (31.6 to 33.3) in young and midlife adults while decreasing in older adults. Although mortality decreased overall and in all age groups, the decline was slower in young and midlife adults than older adults. The mean length of stay significantly decreased in midlife and older adults and increased in young adults. The inflation-adjusted mean cost of stay increased consistently, with an average annual growth rate of 2.44% in young, 1.72% in midlife, and 1.45% in older adults owing to the higher use of health care resources. These trends were consistent in both ischemic and hemorrhagic stroke. Conclusion Stroke-related hospitalization and health care expenditure are increasing in the United States, particularly among young and midlife adults. A higher cost of stay counterbalances the benefits of reducing stroke and mortality in older patients.
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Affiliation(s)
- Safi U Khan
- Department of Medicine, West Virginia University, Morgantown, WV
| | | | - Muhammad U Khan
- Department of Medicine, West Virginia University, Morgantown, WV
| | | | - Mamas A Mamas
- Keele Cardiovascular Research Group, Keele University, Stoke-on-Trent, United Kingdom.,Department of Medicine, Jefferson University, Philadelphia, PA
| | - Muhammad Rashid
- Keele Cardiovascular Research Group, Keele University, Stoke-on-Trent, United Kingdom
| | - Ron Blankstein
- Cardiovascular Division, Brigham and Women's Hospital, Boston, MA
| | - Salim S Virani
- Michael E. DeBakey Veterans Affair Medical Center.,Department of Medicine, Baylor College of Medicine, Houston, TX
| | | | - Michael D Shapiro
- Section of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Michael J Blaha
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD
| | - Miguel Cainzos-Achirica
- Division of Cardiovascular Prevention and Wellness, Department of Cardiovascular Medicine, Houston Methodist DeBakey Heart and Vascular Center.,Center for Outcomes Research, Houston Methodist, Houston, TX
| | - Farhaan S Vahidy
- Division of Cardiovascular Prevention and Wellness, Department of Cardiovascular Medicine, Houston Methodist DeBakey Heart and Vascular Center
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Department of Cardiovascular Medicine, Houston Methodist DeBakey Heart and Vascular Center.,Center for Outcomes Research, Houston Methodist, Houston, TX
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Simmonds KP, Luo Z, Reeves M. Race/Ethnic and Stroke Subtype Differences in Poststroke Functional Recovery After Acute Rehabilitation. Arch Phys Med Rehabil 2021; 102:1473-1481. [PMID: 33684363 DOI: 10.1016/j.apmr.2021.01.090] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 01/16/2021] [Accepted: 01/21/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVE Significant racial/ethnic disparities in poststroke function exist, but whether these disparities vary by stroke subtype is unknown. Study goals were to (1) determine if racial/ethnic disparities in the recovery of poststroke function varied by stroke subtype and (2) identify confounding factors associated with these racial/ethnic disparities. DESIGN Secondary analysis of the 1-year Stroke Recovery in Underserved Populations Cohort Study. SETTING Eleven inpatient rehabilitation facilities (IRFs) across the United States. PARTICIPANTS A total of 1066 patients (n=868 with ischemic stroke and n=198 with hemorrhagic stroke, N=1066) who self-identified as White (n=813), Black (n=183), or Hispanic (n=70). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES FIM scores at IRF admission, discharge, 3 months, and 12 months were modeled using multivariable mixed effects longitudinal regression. RESULTS Compared with White patients, Black (-6.1 and -4.6) and Hispanic (-10.1 and -9.9) patients had significantly lower FIM scores at 3 and 12 months, respectively. A significant (P<.01) 3-way interaction (race/ethnic*subtype*time) indicated that disparities varied by stroke subtype. The stroke subtype differences were most prominent for Black-White disparities because disparities in hemorrhagic stroke were present at IRF admission (vs 3 months for ischemic stroke). Additionally, at 12 months, the magnitude of Black-White disparities was over 3 times larger for hemorrhagic stroke (-10.4) than ischemic stroke (-3.1). Age primarily influenced Black-White disparities (especially for hemorrhagic stroke), but factors that influenced Hispanic-White disparities were not identified. Sensitivity analyses showed that there were stroke subtype differences in racial/ethnic disparities for cognitive (but not motor) function, and results were robust to adjustments for missing data because of attrition. CONCLUSIONS There are significant differences between stroke subtypes in the timing and magnitude of Black-White disparities in poststroke function. Age was a major confounding factor for Black-White disparities (particularly for hemorrhagic stroke). Overall, Hispanic patients had the lowest levels of poststroke function, and more work is needed to identify significant factors that influence Hispanic-White disparities.
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Affiliation(s)
- Kent P Simmonds
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI; DO/PhD Program, College of Osteopathic Medicine, Michigan State University, East Lansing, MI.
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI
| | - Mathew Reeves
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI
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Sanchez JM, Jolly SE, Dewland TA, Tseng ZH, Nah G, Vittinghoff E, Marcus GM. Incident Strokes Among American Indian Individuals With Atrial Fibrillation. J Am Heart Assoc 2021; 10:e019581. [PMID: 33653124 PMCID: PMC8174189 DOI: 10.1161/jaha.120.019581] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND American Indian individuals experience a relatively high risk for cardiovascular disease and have exhibited a higher risk of stroke compared with other racial and ethnic minorities. Although this population has the highest incidence of atrial fibrillation (AF) compared with other groups, the relationship between AF and nonhemorrhagic stroke among American Indian individuals compared with other groups has not been thoroughly studied. METHODS and RESULTS We used the Healthcare Cost and Utilization Project to evaluate risk of nonhemorrhagic stroke among American Indian individuals, with comparisons to White, Black, Hispanic, and Asian individuals, among all adult California residents receiving care in an emergency department, inpatient hospital unit, or ambulatory surgery setting from 2005 to 2011. Of 16 951 579 patients followed for a median 4.1 years, 105 822 (0.6%) were American Indian. After adjusting for age, sex, income level, insurance payer, hypertension, diabetes mellitus, coronary artery disease, congestive heart failure, cardiac surgery, valvular heart disease, chronic kidney disease, smoking, obstructive sleep apnea, pulmonary disease, and alcohol use, American Indian individuals with AF exhibited the highest risk of nonhemorrhagic stroke when compared with either non‐American Indian individuals with AF (hazard ratio, 1.38; 95% CI, 1.23–1.55; P<0.0001) or to each race and ethnicity with AF. American Indian individuals also experienced the highest overall risk for stroke, with no evidence that AF disproportionately heightened that risk in interaction analyses. CONCLUSIONS American Indian individuals experienced the highest risk of nonhemorrhagic stroke, whether in the presence or absence of AF. Our findings likely suggest an opportunity to further study, if not immediately address, guideline‐adherent anticoagulation prescribing patterns among American Indian individuals with AF.
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Affiliation(s)
- José M Sanchez
- Section of Cardiac Electrophysiology Division of Cardiology University of Colorado Anschutz Medical Campus Aurora CO
| | - Stacey E Jolly
- The Department of General Internal Medicine Cleveland Clinic OH
| | - Thomas A Dewland
- The Section of Cardiac Electrophysiology Division of Cardiology University of California San Francisco CA
| | - Zian H Tseng
- The Section of Cardiac Electrophysiology Division of Cardiology University of California San Francisco CA
| | - Gregory Nah
- The Section of Cardiac Electrophysiology Division of Cardiology University of California San Francisco CA
| | - Eric Vittinghoff
- The Department of Epidemiology and Biostatistics University of California San Francisco CA
| | - Gregory M Marcus
- The Section of Cardiac Electrophysiology Division of Cardiology University of California San Francisco CA
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