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Khawar H, McFarlane S, Libman RB. Stroke Mimics at 30 Years: Where We Have Been, Where We Are Now, and Where We Are Going. Stroke 2025; 56:1061-1068. [PMID: 39801463 DOI: 10.1161/strokeaha.124.048067] [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: 03/26/2025]
Abstract
Stroke mimics and chameleons remain a major challenge to the clinician and clinical investigator. Misdiagnosis of stroke can result in significant harm to our patients, as well as unnecessary financial costs to the health care systems internationally. The approach to stroke mimics and chameleons has evolved over time with the development of clinical scales and technology. The combination of these tools with clinical acumen can minimize diagnostic errors to the benefit of patients.
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Affiliation(s)
- Haroon Khawar
- Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY
| | - Spencer McFarlane
- Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY
| | - Richard B Libman
- Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY
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Zhou Y, Su X, Liu P, Tang Y, Cheng D, Li H, Sang H. Clinical characteristics and outcomes of hospitalized patients with intracranial hemorrhage after percutaneous coronary intervention. Front Cardiovasc Med 2025; 12:1424598. [PMID: 40134986 PMCID: PMC11933014 DOI: 10.3389/fcvm.2025.1424598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 02/25/2025] [Indexed: 03/27/2025] Open
Abstract
Objectives Complications of intracranial hemorrhage (ICH) after percutaneous coronary intervention (PCI), although rare, have a poor prognosis with high mortality rates. This study aims to provide information on the clinical characteristics and outcomes of hospitalized patients with ICH after PCI. Materials and methods This retrospective study included 24 patients enrolled from February 2014 to September 2023, which occurred ICH during post-PCI hospitalization. We mainly analyzed general, procedural, ICH features and subsequent outcomes. In addition, the predictive ability of the CRUSADE, ARC-HBR, and ACUITY scores was assessed with the receiver operating characteristics area under the curve (AUC). Results Among the 24 patients, the mean age was 62.21 ± 10.01 years, and 66.7% (n = 16) were men. The mortality of ICH patients after PCI was very high (n = 13, 54.2%). In addition, the most common initial manifestation of ICH patients was the disturbance of consciousness (n = 14, 58.3%). Over half of the cases (58.3%) occurred ICH within the first 12 h following PCI. 13 patients (54.2%) had an ICH volume ≥30 cm3, and of these patients, a total of 11(84.6%) died. ICH volume ≥30 cm3 (p = 0.038), and the use of mechanical ventilators (p = 0.011) were significantly higher in patients who died. The AUC of CRUSADE, ARC-HBR, and ACUITY scores were 0.500, 0.619, and 0.545, respectively. Conclusions In our study, the mortality of ICH after PCI was high. The high volume of ICH indicates a high risk of death.
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Affiliation(s)
| | - Xin Su
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Mahajan A, Duque KR, Dwivedi AK, Abanto J, Marsili L, Hill EJ, Saraf A, McDonald KJ, Arowosegbe A, Deraz HA, Bloemer A, Espay AJ. Exploring the intersection between orthostatic hypotension and daytime sleepiness in Parkinson's disease. J Neurol Sci 2025; 468:123366. [PMID: 39740578 DOI: 10.1016/j.jns.2024.123366] [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: 10/23/2024] [Revised: 11/27/2024] [Accepted: 12/22/2024] [Indexed: 01/02/2025]
Abstract
INTRODUCTION Daytime sleepiness, reported in about 50 % of patients with Parkinson's disease (PD), is associated with high morbidity, poor quality of life and increased risk for accidents. While an association between dysautonomia and daytime sleepiness in early, de-novo PD has been reported, our understanding of the role of medications, cognitive status and co-morbidites on this relationship is inadequate. METHODS Data were analyzed from the prospective Cincinnati Cohort Biomarkers Program. The primary outcome of interest was excessive daytime sleepiness (EDS), as measured by the Epworth Sleepiness Scale (ESS; ESS score > 10). The primary exposure variable was orthostatic hypotension (OH). Linear and logistic regression analyses followed by moderated graphical network analyses were conducted to explore the complex association between OH and ESS. Edge weight from graphical network analysis indicates the strength of the association. RESULTS Data on 453 subjects with PD were analyzed. Median disease duration was 5.8 years and nearly 90 % were H&Y stage <3. OH was not associated with EDS. OH was associated with depression (edge weight, 0.22) in cognitively impaired patients but not in cognitively normal patients. In addition, depression was associated with ESS (edge weight, 0.37; moderation weight, 0.22) in cognitively impaired patients to a greater extent than in cognitively normal patients (edge weight, 0.22). CONCLUSIONS OH is not directly associated with daytime sleepiness in early, treated PD. However, OH seems to be associated with ESS via depression in cognitively impaired patients. This complex relationship deserves additional study.
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Affiliation(s)
- Abhimanyu Mahajan
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA.
| | - Kevin R Duque
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Alok K Dwivedi
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA; Division of Biostatistics & Epidemiology, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA
| | - Jesus Abanto
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Luca Marsili
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Emily J Hill
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Ameya Saraf
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Kelsey J McDonald
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Adebukunola Arowosegbe
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Heba A Deraz
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA; Department of Neurology, Cairo University, Cairo, Egypt
| | - Aaron Bloemer
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Alberto J Espay
- James J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
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Robinson DJ, Ding L, Howard G, Stanton RJ, Khoury J, Sucharew H, Haverbusch M, Nobel L, Khatri P, Adeoye O, Broderick JP, Ferioli S, Mackey J, Woo D, Rios La Rosa FDL, Flaherty M, Slavin S, Star M, Martini SR, Demel S, Walsh KB, Coleman E, Jasne AS, Mistry EA, Kleindorfer D, Kissela B. Temporal Trends and Racial Disparities in Long-Term Survival After Stroke. Neurology 2024; 103:e209653. [PMID: 39008784 PMCID: PMC11249510 DOI: 10.1212/wnl.0000000000209653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/20/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Few studies have examined trends and disparities in long-term outcome after stroke in a representative US population. We used a population-based stroke study in the Greater Cincinnati Northern Kentucky region to examine trends and racial disparities in poststroke 5-year mortality. METHODS All patients with acute ischemic strokes (AISs) and intracerebral hemorrhages (ICHs) among residents ≥20 years old were ascertained using ICD codes and physician-adjudicated using a consistent case definition during 5 periods: July 1993-June 1994 and calendar years 1999, 2005, 2010, and 2015. Race was obtained from the medical record; only those identified as White or Black were included. Premorbid functional status was assessed using the modified Rankin Scale, with a score of 0-1 being considered "good." Mortality was assessed with the National Death Index. Trends and racial disparities for each subtype were analyzed with logistic regression. RESULTS We identified 8,428 AIS cases (19.3% Black, 56.3% female, median age 72) and 1,501 ICH cases (23.5% Black, 54.8% female, median age 72). Among patients with AIS, 5-year mortality improved after adjustment for age, race, and sex (53% in 1993/94 to 48.3% in 2015, overall effect of study year p = 0.009). The absolute decline in 5-year mortality in patients with AIS was larger than what would be expected in the general population (5.1% vs 2.8%). Black individuals were at a higher risk of death after AIS (odds ratio [OR] 1.23, 95% CI 1.08-1.39) even after adjustment for age and sex, and this effect was consistent across study years. When premorbid functional status and comorbidities were included in the model, the primary effect of Black race was attenuated but race interacted with sex and premorbid functional status. Among male patients with a good baseline functional status, Black race remained associated with 5-year mortality (OR 1.4, 95% CI 1.1-1.7, p = 0.002). There were no changes in 5-year mortality after ICH over time (64.4% in 1993/94 to 69.2% in 2015, overall effect of study year p = 0.32). DISCUSSION Long-term survival improved after AIS but not after ICH. Black individuals, particularly Black male patients with good premorbid function, have a higher mortality after AIS, and this disparity did not change over time.
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Affiliation(s)
- David J Robinson
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Lili Ding
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - George Howard
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Robert J Stanton
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Jane Khoury
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Heidi Sucharew
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Mary Haverbusch
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Lisa Nobel
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Pooja Khatri
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Opeolu Adeoye
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Joseph P Broderick
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Simona Ferioli
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Jason Mackey
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Daniel Woo
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Felipa De Los Rios La Rosa
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Matthew Flaherty
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Sabreena Slavin
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Michael Star
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Sharyl R Martini
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Stacie Demel
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Kyle B Walsh
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Elisheva Coleman
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Adam S Jasne
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Eva A Mistry
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Dawn Kleindorfer
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
| | - Brett Kissela
- From the Department of Neurology and Rehabilitation Medicine (D.R., R.J.S., M.H., L.N., P.K., J.P.B., S.F., D.W., M.L.F., S.D., E.A.M., B.K.), University of Cincinnati, OH; Department of Biostatistics (L.D., J.C.K.), Cincinnati Children's Medical Center, OH; Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health, AL; Department of Emergency Medicine (H.S., K.B.W.), University of Cincinnati, OH; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, Miami; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheva, Israel; VA National TeleStroke Program (S.R.M.), Veterans Health Administration, Houston, TX; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.S.J.), Yale University, New Haven, CT; and Department of Neurology (D.K.), University of Michigan, Ann Arbor
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5
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Aziz YN, Sucharew H, Stanton RJ, Alwell K, Ferioli S, Khatri P, Adeoye O, Flaherty ML, Mackey J, De Los Rios La Rosa F, Martini SR, Mistry EA, Coleman E, Jasne AS, Slavin SJ, Walsh K, Star M, Ridha M, Ades LMC, Haverbusch M, Demel SL, Woo D, Kissela BM, Kleindorfer DO. Racial Disparities in Blood Pressure at Time of Acute Ischemic Stroke Presentation: A Population Study. J Am Heart Assoc 2024; 13:e032645. [PMID: 38700029 PMCID: PMC11179936 DOI: 10.1161/jaha.123.032645] [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: 09/13/2023] [Accepted: 04/10/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND Hypertension is a stroke risk factor with known disparities in prevalence and management between Black and White patients. We sought to identify if racial differences in presenting blood pressure (BP) during acute ischemic stroke exist. METHODS AND RESULTS Adults with acute ischemic stroke presenting to an emergency department within 24 hours of last known normal during study epochs 2005, 2010, and 2015 within the Greater Cincinnati/Northern Kentucky Stroke Study were included. Demographics, histories, arrival BP, National Institutes of Health Stroke Scale score, and time from last known normal were collected. Multivariable linear regression was used to determine differences in mean BP between Black and White patients, adjusting for age, sex, National Institutes of Health Stroke Scale score, history of hypertension, hyperlipidemia, smoking, stroke, body mass index, and study epoch. Of 4048 patients, 853 Black and 3195 White patients were included. In adjusted analysis, Black patients had higher presenting systolic BP (161 mm Hg [95% CI, 159-164] versus 158 mm Hg [95% CI, 157-159], P<0.01), diastolic BP (86 mm Hg [95% CI, 85-88] versus 83 mm Hg [95% CI, 82-84], P<0.01), and mean arterial pressure (111 mm Hg [95% CI, 110-113] versus 108 mm Hg [95% CI, 107-109], P<0.01) compared with White patients. In adjusted subanalysis of patients <4.5 hours from last known normal, diastolic BP (88 mm Hg [95% CI, 86-90] versus 83 mm Hg [95% CI, 82-84], P<0.01) and mean arterial pressure (112 mm Hg [95% CI, 110-114] versus 108 mm Hg [95% CI, 107-109], P<0.01) were also higher in Black patients. CONCLUSIONS This population-based study suggests differences in presenting BP between Black and White patients during acute ischemic stroke. Further study is needed to determine whether these differences influence clinical decision-making, outcome, or clinical trial eligibility.
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Affiliation(s)
- Yasmin N. Aziz
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Heidi Sucharew
- Department of Emergency MedicineUniversity of CincinnatiCincinnatiOH
| | - Robert J. Stanton
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Kathleen Alwell
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Simona Ferioli
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Pooja Khatri
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Opeolu Adeoye
- Department of Emergency MedicineWashington UniversitySt LouisMO
| | - Matthew L. Flaherty
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Jason Mackey
- Department of NeurologyIndiana UniversityIndianapolisIN
| | | | - Sharyl R. Martini
- Department of NeurologyMichael E. DeBakey VA Medical CenterHoustonTX
| | - Eva A. Mistry
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | | | | | | | - Kyle Walsh
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | | | - Mohamed Ridha
- Department of NeurologyThe Ohio State UniversityColumbusOH
| | - Laura M. C. Ades
- Department of NeurologyNYU Grossman School of MedicineBrooklynNY
| | - Mary Haverbusch
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Stacie L. Demel
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Daniel Woo
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
| | - Brett M. Kissela
- Department of Neurology and Rehabilitation MedicineUniversity of CincinnatiCincinnatiOH
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6
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Krekeler BN, Schieve HJP, Khoury J, Ding L, Haverbusch M, Alwell K, Adeoye O, Ferioloi S, Mackey J, Woo D, Flaherty M, La Rosa FDLR, Demel S, Star M, Coleman E, Walsh K, Slavin S, Jasne A, Mistry E, Kleindorfer D, Kissela B. Health Factors Associated With Development and Severity of Poststroke Dysphagia: An Epidemiological Investigation. J Am Heart Assoc 2024; 13:e033922. [PMID: 38533959 PMCID: PMC11179757 DOI: 10.1161/jaha.123.033922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 01/31/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND Dysphagia after stroke is common and can impact morbidity and death. The purpose of this population-based study was to determine specific epidemiological and health risk factors that impact development of dysphagia after acute stroke. METHODS AND RESULTS Ischemic and hemorrhagic stroke cases from 2010 and 2015 were identified via chart review from the GCNKSS (Greater Cincinnati Northern Kentucky Stroke Study), a representative sample of ≈1.3 million adults from southwestern Ohio and northern Kentucky. Dysphagia status was determined on the basis of clinical assessments and necessity for alternative access to nutrition via nasogastric or percutaneous endoscopic gastrostomy tube placement. Comparisons between patients with and without dysphagia were made to determine differences in baseline characteristics and premorbid conditions. Multivariable logistic regression determined factors associated with increased risk of dysphagia. Dysphagia status was ascertained from 4139 cases (1709 with dysphagia). Logistic regression showed that increased age, Black race, higher National Institutes of Health Stroke Scale score at admission, having a hemorrhagic stroke (versus infarct), and right hemispheric stroke increased the risk of developing dysphagia after stroke. Factors associated with reduced risk included history of high cholesterol, lower prestroke modified Rankin Scale score, and white matter disease. CONCLUSIONS This study replicated previous findings of variables associated with dysphagia (older age, worse stroke, right-sided hemorrhagic lesions), whereas other variables identified were without clear biological rationale (eg, Black race, history of high cholesterol, and presence of white matter disease) and should be investigated in future studies to determine biological relevance and potential influence in stroke recovery.
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Affiliation(s)
- Brittany N. Krekeler
- Department of Otolaryngology‐Head and Neck SurgeryUniversity of Cincinnati College of MedicineCincinnatiOHUSA
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | | | - Jane Khoury
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Lili Ding
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Mary Haverbusch
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Kathleen Alwell
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Opeolu Adeoye
- Department of Emergency MedicineWashington University School of MedicineSt. LouisMOUSA
| | - Simona Ferioloi
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Jason Mackey
- Department of NeurologyIndiana University School of MedicineIndianapolisINUSA
| | - Daniel Woo
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Matthew Flaherty
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Felipe De Los Rios La Rosa
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
- Baptist Health South FloridaMiami Neuroscience InstituteMiamiFLUSA
| | - Stacie Demel
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | | | - Elisheva Coleman
- Department of NeurologyUniversity of Chicago MedicineChicagoILUSA
| | - Kyle Walsh
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Sabreena Slavin
- Department of NeurologyUniversity of Kansas Medical CenterKansas CityKSUSA
| | - Adam Jasne
- Department of NeurologyYale School of MedicineNew HavenCTUSA
| | - Eva Mistry
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Dawn Kleindorfer
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
- Department of NeurologyUniversity of MichiganAnn ArborMIUSA
| | - Brett Kissela
- Department of Neurology and Rehabilitation MedicineUniversity of Cincinnati College of MedicineCincinnatiOHUSA
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7
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Calancie L, Leng XI, Whitsel EA, Cené C, Hassmiller Lich K, Dave G, Corbie G. Racial disparities in stroke incidence in the Women's Health Initiative: Exploring biological, behavioral, psychosocial, and social risk factors. SSM Popul Health 2024; 25:101570. [PMID: 38313870 PMCID: PMC10837642 DOI: 10.1016/j.ssmph.2023.101570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 02/06/2024] Open
Abstract
Background - Disparities in incident stroke risk among women by race and ethnicity persist. Few studies report the distribution and association of stroke risk factors by age group among a diverse sample of women. Methods - Data from the Women's Health Initiative (WHI) Observational Study collected between 1993 and 2010 were used to calculate cumulative stroke incidence and incidence rates among non-Hispanic African American (NHAA), non-Hispanic white (NHW), and Hispanic white or African American (HWAA) women by age group in participants aged ≥50 years at baseline (N = 77,247). Hazard ratios (HRs) and 95% CIs for biological, behavioral, psychosocial, and socioeconomic factors overall and by race or ethnicity were estimated using sequential Cox proportional hazard regression models. Results - Average follow-up time was 11.52 (SD, 3.48) years. The incident stroke rate was higher among NHAA (306 per 100,000 person-years) compared to NHW (279/100,000py) and HWAA women (147/100,000py) overall and in each age group. The disparity was largest at ages >75 years. The association between stroke risk factors (e.g., smoking, BMI, physical activity) and incident stroke varied across race and ethnicity groups. Higher social support was significantly associated with decreased stroke risk overall (HR:0.84, 95% CI, 0.76, 0.93); the degree of protection varied across race and ethnicity groups. Socioeconomic factors did not contribute additional stroke risk beyond risk conferred by traditional and psychosocial factors. Conclusions - The distribution and association of stroke risk factors differed between NHAA and NHW women. There is a clear need for stroke prevention strategies that address factors driving racial disparities in stroke risk.
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Affiliation(s)
| | - Xiaoyan Iris Leng
- Wake Forest University, 1834 Wake Forest Rd, Winston-Salem, NC, 27109, USA
| | - Eric A. Whitsel
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
| | - Crystal Cené
- University of San Diego Health, 9300 Campus Point Drive, #7970, USA
| | | | - Gaurav Dave
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
| | - Giselle Corbie
- University of North Carolina at Chapel Hill, 321 S Columbia St, Chapel Hill, NC, 27599, USA
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8
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Madsen TE, Ding L, Khoury JC, Haverbusch M, Woo D, Ferioli S, De Los Rios La Rosa F, Martini SR, Adeoye O, Khatri P, Flaherty ML, Mackey J, Mistry EA, Demel S, Coleman E, Jasne A, Slavin S, Walsh KB, Star M, Broderick JP, Kissela B, Kleindorfer DO. Trends Over Time in Stroke Incidence by Race in the Greater Cincinnati Northern Kentucky Stroke Study. Neurology 2024; 102:e208077. [PMID: 38546235 PMCID: PMC11097768 DOI: 10.1212/wnl.0000000000208077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 11/07/2023] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Understanding the current status of and temporal trends of stroke epidemiology by age, race, and stroke subtype is critical to evaluate past prevention efforts and to plan future interventions to eliminate existing inequities. We investigated trends in stroke incidence and case fatality over a 22-year time period. METHODS In this population-based stroke surveillance study, all cases of stroke in acute care hospitals within a 5-county population of southern Ohio/northern Kentucky in adults aged ≥20 years were ascertained during a full year every 5 years from 1993 to 2015. Temporal trends in stroke epidemiology were evaluated by age, race (Black or White), and subtype (ischemic stroke [IS], intracranial hemorrhage [ICH], or subarachnoid hemorrhage [SAH]). Stroke incidence rates per 100,000 individuals from 1993 to 2015 were calculated using US Census data and age-standardized, race-standardized, and sex-standardized as appropriate. Thirty-day case fatality rates were also reported. RESULTS Incidence rates for stroke of any type and IS decreased in the combined population and among White individuals (any type, per 100,000, 215 [95% CI 204-226] in 1993/4 to 170 [95% CI 161-179] in 2015, p = 0.015). Among Black individuals, incidence rates for stroke of any type decreased over the study period (per 100,000, 349 [95% CI 311-386] in 1993/4 to 311 [95% CI 282-340] in 2015, p = 0.015). Incidence of ICH was stable over time in the combined population and in race-specific subgroups, and SAH decreased in the combined groups and in White adults. Incidence rates among Black adults were higher than those of White adults in all time periods, and Black:White risk ratios were highest in adults in young and middle age groups. Case fatality rates were similar by race and by time period with the exception of SAH in which 30-day case fatality rates decreased in the combined population and White adults over time. DISCUSSION Stroke incidence is decreasing over time in both Black and White adults, an encouraging trend in the burden of cerebrovascular disease in the US population. Unfortunately, however, Black:White disparities have not decreased over a 22-year period, especially among younger and middle-aged adults, suggesting the need for more effective interventions to eliminate inequities by race.
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Affiliation(s)
- Tracy E Madsen
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Lili Ding
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Jane C Khoury
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Mary Haverbusch
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Daniel Woo
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Simona Ferioli
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Felipe De Los Rios La Rosa
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Sharyl R Martini
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Opeolu Adeoye
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Pooja Khatri
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Matthew L Flaherty
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Jason Mackey
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Eva A Mistry
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Stacie Demel
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Elisheva Coleman
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Adam Jasne
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Sabreena Slavin
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Kyle B Walsh
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Michael Star
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Joseph P Broderick
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Brett Kissela
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
| | - Dawn O Kleindorfer
- From the Department of Emergency Medicine (T.E.M.), Alpert Medical School of Brown University; Department of Epidemiology (T.E.M.), Brown University School of Public Health, Providence, RI; Division of Biostatistics and Epidemiology (L.D., J.C.K.), Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati; Department of Neurology and Rehabilitation Medicine (M.H., D.W., S.F., F.D.L.R.L.R., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), University of Cincinnati College of Medicine; UC Gardner Neuroscience Institute (S.F., P.K., M.L.F., E.A.M., S.D., K.B.W., J.P.B., B.K., D.O.K.), Cincinnati, OH; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida, FL; Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX; Department of Emergency Medicine (O.A.), Washington University, St. Louis, MO; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (A.J.), Yale School of Medicine, New Haven, CT; University of Kansas Medical Center (S.S.), Kansas City; Soroka Medical Center (M.S.), Beersheba, Israel; and Department of Neurology (D.O.K.), University of Michigan, Ann Arbor
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9
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Kim TJ, Lee HS, Kim SE, Park J, Kim JY, Lee J, Song JE, Hong JH, Lee J, Chung JH, Kim HC, Shin DH, Lee HY, Kim BJ, Seo WK, Park JM, Lee SJ, Jung KH, Kwon SU, Hong YC, Kim HS, Kang HJ, Lee J, Bae HJ. Developing a national surveillance system for stroke and acute myocardial infarction using claims data in the Republic of Korea: a retrospective study. Osong Public Health Res Perspect 2024; 15:18-32. [PMID: 38481047 PMCID: PMC10982659 DOI: 10.24171/j.phrp.2023.0248] [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: 09/03/2023] [Revised: 11/30/2023] [Accepted: 12/03/2023] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Limited information is available concerning the epidemiology of stroke and acute myocardial infarction (AMI) in the Republic of Korea. This study aimed to develop a national surveillance system to monitor the incidence of stroke and AMI using national claims data. METHODS We developed and validated identification algorithms for stroke and AMI using claims data. This validation involved a 2-stage stratified sampling method with a review of medical records for sampled cases. The weighted positive predictive value (PPV) and negative predictive value (NPV) were calculated based on the sampling structure and the corresponding sampling rates. Incident cases and the incidence rates of stroke and AMI in the Republic of Korea were estimated by applying the algorithms and weighted PPV and NPV to the 2018 National Health Insurance Service claims data. RESULTS In total, 2,200 cases (1,086 stroke cases and 1,114 AMI cases) were sampled from the 2018 claims database. The sensitivity and specificity of the algorithms were 94.3% and 88.6% for stroke and 97.9% and 90.1% for AMI, respectively. The estimated number of cases, including recurrent events, was 150,837 for stroke and 40,529 for AMI in 2018. The age- and sex-standardized incidence rate for stroke and AMI was 180.2 and 46.1 cases per 100,000 person-years, respectively, in 2018. CONCLUSION This study demonstrates the feasibility of developing a national surveillance system based on claims data and identification algorithms for stroke and AMI to monitor their incidence rates.
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Affiliation(s)
- Tae Jung Kim
- Department of Critical Care Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | | | - Seong-Eun Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Jinju Park
- Central Division of Cardio-cerebrovascular Disease Management, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jun Yup Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Jiyoon Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Ji Eun Song
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jin-Hyuk Hong
- Central Division of Cardio-cerebrovascular Disease Management, Seoul National University Hospital, Seoul, Republic of Korea
| | - Joongyub Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Joong-Hwa Chung
- Department of Cardiology, Chosun University Hospital, Gwangju, Republic of Korea
| | - Hyeon Chang Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dong-Ho Shin
- Department of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hae-Young Lee
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Bum Joon Kim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Woo-Keun Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University, Seoul, Republic of Korea
| | - Soo Joo Lee
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University, Daejeon, Republic of Korea
| | - Keun-Hwa Jung
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun U. Kwon
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyo-Soo Kim
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hyun-Jae Kang
- Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
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10
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Rai AT, Link PS, Domico JR. Updated estimates of large and medium vessel strokes, mechanical thrombectomy trends, and future projections indicate a relative flattening of the growth curve but highlight opportunities for expanding endovascular stroke care. J Neurointerv Surg 2023; 15:e349-e355. [PMID: 36564202 PMCID: PMC10803998 DOI: 10.1136/jnis-2022-019777] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 12/02/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND A study was undertaken to determine the incidence of acute ischemic stroke (AIS) and strokes related to large (LVO) and medium (MVO) vessel occlusions, and to estimate annual mechanical thrombectomy (MT) volume, past trends and future growth. METHODS A population-based analysis was performed to estimate the rate of AIS, LVOs (internal carotid artery terminus, M1 branch of the middle cerebral artery, basilar artery) and MVOs (M2 and M3 branches of the middle cerebral artery, anterior and posterior cerebral arteries). MT estimates were determined from multiple governmental data sources. Annual US numbers were adjusted for population growth. RESULTS The incidence of AIS is estimated at 216 (95% CI 199 to 238)/100 000 persons/year or 718 191 (95% CI 661 483 to 791 121) AIS/year in the USA. A vascular occlusion was observed in 21% of patients with AIS (95% CI 15 to 29). The rate of LVO was 24/100 000 persons/year (95% CI 19 to 31) or 80 075 (95% CI 62 457 to 104 375) LVOs/year, and the rate of MVO was 20/100 000 persons/year or 65 798 (95% CI 45 555 to 95 110) MVOs/year. MT estimates for 2021 are 39 164 procedures with a flattening of the growth curve from 2019 (9%, 2020-2021; 4%, 2019-2020) as opposed to initial steep growth from 2015 to 2018. Current MT procedures represent 5% of all AIS, 27% of all vascular occlusions (LVO+MVO) and 38% of all LVO and M2 occlusions. The current trajectory indicates a future growth of 5-10%/year for the next several years. CONCLUSION A decline in MT growth is observed. The incidence of LVO+MVO is estimated at 44/100 000 persons/year or almost 144 000 large and medium vessel strokes annually. Of these, currently an estimated 27% undergo an MT procedure, indicating an opportunity for growth. Further expansion may require focusing on the elderly, medium vessel strokes and workflow efficiencies from diagnosis to treatment.
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Affiliation(s)
- Ansaar T Rai
- Interventional Neuroradiology, West Virginia University Rockefeller Neuroscience Institute, Morgantown, West Virginia, USA
| | - Paul S Link
- Stryker Neurovascular, Fremont, California, USA
| | - Jennifer R Domico
- Interventional Neuroradiology, West Virginia University Rockefeller Neuroscience Institute, Morgantown, West Virginia, USA
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11
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Krekeler BN, Schieve HJP, Khoury J, Ding L, Haverbusch M, Alwell K, Adeoye O, Ferioloi S, Mackey J, Woo D, Flaherty M, De Los Rios La Rosa F, Demel S, Star M, Coleman E, Walsh K, Slavin S, Jasne A, Mistry E, Kleindorfer D, Kissela B. Health factors associated with development and severity of post-stroke dysphagia: an epidemiological investigation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.29.23294807. [PMID: 37693442 PMCID: PMC10491359 DOI: 10.1101/2023.08.29.23294807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Background and Purpose Dysphagia is a common post-stroke occurrence and has been shown to impact patients' morbidity and mortality. The purpose of this study was to use a large population-based dataset to determine specific epidemiological and patient health risk factors that impact development and severity of dysphagia after acute stroke. Methods Using data from the Greater Cincinnati Northern Kentucky Stroke Study, GCNKSS, involving a representative sample of approximately 1.3 million people from Southwest Ohio and Northern Kentucky of adults (age ≥18), ischemic and hemorrhagic stroke cases from 2010 and 2015 were identified via chart review. Dysphagia status was determined based on bedside and clinical assessments, and severity by necessity for alternative access to nutrition via nasogastric (NG) or percutaneous endoscopic gastrostomy (PEG) tube placement. Comparisons between patients with and without dysphagia were made to determine differences in baseline characteristics and pre-morbid conditions. Multivariable logistic regression was used to determine factors associated with increased risk of developing dysphagia. Results Dysphagia status was ascertained from 4139 cases (1709 with dysphagia). Logistic regression showed: increased age, Black race, higher NIHSS score at admission, having a hemorrhagic stroke (vs infarct), and right hemispheric stroke increased risk of developing dysphagia after stroke. Factors associated with reduced risk included history of high cholesterol, lower pre-stroke mRS score, and white matter disease. Conclusions This study replicated many previous findings of variables associated with dysphagia (older age, worse stroke, right sided hemorrhagic lesions), while other variables identified were without clear biological rationale (e.g. Black race, history of high cholesterol and presence of white matter disease). These factors should be investigated in future, prospective studies to determine biological relevance and potential influence in stroke recovery.
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12
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Liu CF, Leigh R, Johnson B, Urrutia V, Hsu J, Xu X, Li X, Mori S, Hillis AE, Faria AV. A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke. Sci Data 2023; 10:548. [PMID: 37607929 PMCID: PMC10444746 DOI: 10.1038/s41597-023-02457-9] [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: 01/31/2023] [Accepted: 08/09/2023] [Indexed: 08/24/2023] Open
Abstract
To extract meaningful and reproducible models of brain function from stroke images, for both clinical and research proposes, is a daunting task severely hindered by the great variability of lesion frequency and patterns. Large datasets are therefore imperative, as well as fully automated image post-processing tools to analyze them. The development of such tools, particularly with artificial intelligence, is highly dependent on the availability of large datasets to model training and testing. We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. The dataset provides high quality, large scale, human-supervised knowledge to feed artificial intelligence models and enable further development of tools to automate several tasks that currently rely on human labor, such as lesion segmentation, labeling, calculation of disease-relevant scores, and lesion-based studies relating function to frequency lesion maps.
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Affiliation(s)
- Chin-Fu Liu
- Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Richard Leigh
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Brenda Johnson
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Victor Urrutia
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Johnny Hsu
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Xin Xu
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Xin Li
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Susumu Mori
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Argye E Hillis
- Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Physical Medicine & Rehabilitation, and Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA
| | - Andreia V Faria
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
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13
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Stanton RJ, Robinson DJ, Aziz YN, Sucharew H, Khatri P, Broderick JP, Janis LS, Kemp S, Mlynash M, Lansberg MG, Albers GW, Saver JL, Flaherty ML, Adeoye O, Woo D, Ferioli S, Kissela BM, Kleindorfer DO. Using Epidemiological Data to Inform Clinical Trial Feasibility Assessments: A Case Study. Stroke 2023; 54:1009-1014. [PMID: 36852687 PMCID: PMC10050115 DOI: 10.1161/strokeaha.122.041650] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 02/06/2023] [Indexed: 03/01/2023]
Abstract
BACKGROUND Clinical trial enrollment and completion is challenging, with nearly half of all trials not being completed or not completed on time. In 2014, the National Institutes of Health StrokeNet in collaboration with stroke epidemiologists from GCNKSS (Greater Cincinnati/Northern Kentucky Stroke Study) began providing proposed clinical trials with formal trial feasibility assessments. Herein, we describe the process of prospective feasibility analyses using epidemiological data that can be used to improve enrollment and increase the likelihood a trial is completed. METHODS In 2014, DEFUSE 3 (Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke 3) trialists, National Institutes of Health StrokeNet, and stroke epidemiologists from GCNKSS collaborated to evaluate the initial inclusion/exclusion criteria for the DEFUSE 3 study. Trial criteria were discussed and an assessment was completed to evaluate the percent of the stroke population that might be eligible for the study. The DEFUSE 3 trial was stopped early with the publication of DAWN (Thrombectomy 6 to 24 Hours After Stroke With a Mismatch Between Deficit and Infarct), and the Wilcoxon rank-sum statistic was used to analyze whether the trial would have been stopped had the proposed changes not been made, following the DEFUSE 3 statistical analysis plan. RESULTS After initial epidemiological analysis, 2.4% of patients with acute stroke in the GCNKSS population would have been predicted to be eligible for the study. After discussion with primary investigators and modifying 4 key exclusion criteria (upper limit of age increased to 90 years, baseline modified Rankin Scale broadened to 0-2, time since last well expanded to 16 hours, and decreased lower limit of National Institutes of Health Stroke Scale score to <6), the number predicted to be eligible for the trial increased to 4%. At the time of trial conclusion, 57% of the enrolled patients qualified only by the modified criteria, and the trial was stopped at an interim analysis that demonstrated efficacy. We estimated that the Wilcoxon rank-sum value for the unadjusted predicted enrollment would not have crossed the threshold for efficacy and the trial not stopped. CONCLUSIONS Objectively assessing trial inclusion/exclusion criteria using a population-based resource in a collaborative and iterative process including epidemiologists can lead to improved recruitment and can increase the likelihood of successful trial completion.
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Affiliation(s)
- Robert J Stanton
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
| | - David J Robinson
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
| | - Yasmin N Aziz
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
| | - Heidi Sucharew
- Emergency Medicine (H.S.), University of Cincinnati College of Medicine, OH
| | - Pooja Khatri
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
| | - Joseph P Broderick
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
| | - L Scott Janis
- Division of Clinical Research, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (L.S.J.)
| | - Stephanie Kemp
- Departments of Neurology (S.K., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, Palo Alto, CA
- Neurological Sciences (S.K., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, Palo Alto, CA
| | - Michael Mlynash
- Departments of Neurology (S.K., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, Palo Alto, CA
- Neurological Sciences (S.K., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, Palo Alto, CA
| | - Maarten G Lansberg
- Departments of Neurology (S.K., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, Palo Alto, CA
- Neurological Sciences (S.K., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, Palo Alto, CA
| | - Gregory W Albers
- Departments of Neurology (S.K., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, Palo Alto, CA
- Neurological Sciences (S.K., M.M., M.G.L., G.W.A.), Stanford University School of Medicine, Palo Alto, CA
| | - Jeffrey L Saver
- Department of Neurology, UCLA David Geffen School of Medicine (J.L.S.)
| | - Matthew L Flaherty
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
| | - Opeolu Adeoye
- Department of Emergency Medicine, Washington University, St. Louis (O.A.)
| | - Daniel Woo
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
| | - Simona Ferioli
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
| | - Brett M Kissela
- Departments of Neurology and Rehabilitation Medicine (R.J.S., D.J.R., Y.N.A., P.K., J.P.B., M.L.F., D.W., S.F., B.M.K.), University of Cincinnati College of Medicine, OH
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14
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Vagal A, Sucharew H, Wang LL, Kissela B, Alwell K, Haverbusch M, Woo D, Ferioli S, Mackey J, De Los Rios La Rosa F, Mistry EA, Demel SL, Coleman E, Jasne AS, Walsh K, Khatri P, Slavin S, Star M, Stephens C, Kleindorfer D. Trends in Disparities in Advanced Neuroimaging Utilization in Acute Stroke: A Population-Based Study. Stroke 2023; 54:1001-1008. [PMID: 36972349 DOI: 10.1161/strokeaha.122.040790] [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: 08/08/2022] [Accepted: 02/01/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Our primary objective was to evaluate if disparities in race, sex, age, and socioeconomic status (SES) exist in utilization of advanced neuroimaging in year 2015 in a population-based study. Our secondary objective was to identify the disparity trends and overall imaging utilization as compared with years 2005 and 2010. METHODS This was a retrospective, population-based study that utilized the GCNKSS (Greater Cincinnati/Northern Kentucky Stroke Study) data. Patients with stroke and transient ischemic attack were identified in the years 2005, 2010, and 2015 in a metropolitan population of 1.3 million. The proportion of imaging use within 2 days of stroke/transient ischemic attack onset or hospital admission date was computed. SES determined by the percentage below the poverty level within a given respondent's US census tract of residence was dichotomized. Multivariable logistic regression was used to determine the odds of advanced neuroimaging use (computed tomography angiogram/magnetic resonance imaging/magnetic resonance angiogram) for age, race, gender, and SES. RESULTS There was a total of 10 526 stroke/transient ischemic attack events in the combined study year periods of 2005, 2010, and 2015. The utilization of advanced imaging progressively increased (48% in 2005, 63% in 2010, and 75% in 2015 [P<0.001]). In the combined study year multivariable model, advanced imaging was associated with age and SES. Younger patients (≤55 years) were more likely to have advanced imaging compared with older patients (adjusted odds ratio, 1.85 [95% CI, 1.62-2.12]; P<0.01), and low SES patients were less likely to have advanced imaging compared with high SES (adjusted odds ratio, 0.83 [95% CI, 0.75-0.93]; P<0.01). A significant interaction was found between age and race. Stratified by age, the adjusted odds of advanced imaging were higher for Black patients compared with White patients among older patients (>55 years; adjusted odds ratio, 1.34 [95% CI, 1.15-1.57]; P<0.01), but no racial differences among the young. CONCLUSIONS Racial, age, and SES-related disparities exist in the utilization of advanced neuroimaging for patients with acute stroke. There was no evidence of a change in trend of these disparities between the study periods.
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Affiliation(s)
- Achala Vagal
- Department of Radiology (A.V., L.W., C.S.), University of Cincinnati Medical Center, OH
| | - Heidi Sucharew
- Department of Emergency Medicine (H.S.), University of Cincinnati Medical Center, OH
| | - Lily L Wang
- Department of Radiology (A.V., L.W., C.S.), University of Cincinnati Medical Center, OH
| | - Brett Kissela
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | - Kathleen Alwell
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | - Mary Haverbusch
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | - Daniel Woo
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | - Simona Ferioli
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | - Jason Mackey
- Indiana University School of Medicine, Indianapolis (J.M.)
| | | | - Eva A Mistry
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | - Stacie L Demel
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | | | | | - Kyle Walsh
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | - Pooja Khatri
- Department of Neurology (B.K., K.A., M.H., D.W., S.F., E.M., S.D., K.W., P.K.), University of Cincinnati Medical Center, OH
| | | | | | - Cody Stephens
- Department of Radiology (A.V., L.W., C.S.), University of Cincinnati Medical Center, OH
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Serrano-Castro ML, Garro-Zúñiga M, Simon E, Tamayo A, Siepmann T. Clinical and Imaging Phenotypes and Outcomes in a Costa Rican Cohort of Acute Ischemic Stroke Survivors: A Retrospective Study. J Clin Med 2023; 12:1080. [PMID: 36769728 PMCID: PMC9917829 DOI: 10.3390/jcm12031080] [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: 12/07/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND We characterized clinical and imaging phenotypes and their association with clinical outcomes in acute ischemic stroke (AIS) survivors in the understudied region of Costa Rica. METHODS We conducted a retrospective cohort study in AIS patients treated at a tertiary stroke center in Costa Rica from 2011-2015. Participants underwent detailed phenotyping for cardiovascular risk factors and stroke etiology. We assessed the association of ischemic brain lesion features and clinical outcomes using the Oxfordshire Community Stroke Project (OCSP) classification. RESULTS We included 684 AIS survivors (60.2% males, aged 68.1 ± 13.6 years, mean ± SD). While the cardiovascular risk profiles and mortality rates of our patients were similar to populations in European and North American countries, only 20.2% of patients with atrial fibrillation (AF) received anticoagulation. On multivariable analysis, patients with total anterior circulation infarct (TACI) displayed an increased risk of complications (OR: 4.2; 95% CI: 2.2-7.8; p < 0.001), higher mortality (OR: 6.9; 95% CI: 2.9-16.1; p < 0.001) and lower chance of functional independence at discharge (OR: 8.9; 95% CI: 4.1-19; p < 0.001) compared to non-TACI. The comorbidity of bronchopneumonia increased the probability of death by 14.5 times. CONCLUSIONS Our observations in a Costa Rican cohort of AIS survivors might help improve local measures for preventing and managing AIS.
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Affiliation(s)
- María Lorena Serrano-Castro
- Department of Internal Medicine, Hospital Chacón Paut, Caja Costarricense de Seguro Social, San José 10101, Costa Rica
- Division of Health Care Sciences, Dresden International University, 01067 Dresden, Germany
| | - Mónica Garro-Zúñiga
- Department of Neurology, Hospital San Juan de Dios, Caja Costarricense del Seguro Social, San José 94088, Costa Rica
| | - Erik Simon
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01069 Dresden, Germany
| | - Arturo Tamayo
- Division of Health Care Sciences, Dresden International University, 01067 Dresden, Germany
- Winnipeg Regional Health Authority (WRHA), Section of Neurology, Department of Medicine, The Max Rady Faculty of Health Sciences, Brandon Regional Health Centre, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Timo Siepmann
- Division of Health Care Sciences, Dresden International University, 01067 Dresden, Germany
- Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01069 Dresden, Germany
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16
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Ziaeian B, Xu H, Matsouaka RA, Xian Y, Khan Y, Schwamm LS, Smith EE, Fonarow GC. US Surveillance of Acute Ischemic Stroke Patient Characteristics, Care Quality, and Outcomes for 2019. Stroke 2022; 53:3386-3393. [PMID: 35862201 PMCID: PMC9613506 DOI: 10.1161/strokeaha.122.039098] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 06/21/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND The United States lacks a timely and accurate nationwide surveillance system for acute ischemic stroke (AIS). We use the Get With The Guidelines-Stroke registry to apply poststratification survey weights to generate national assessment of AIS epidemiology, hospital care quality, and in-hospital outcomes. METHODS Clinical data from the Get With The Guidelines-Stroke registry were weighted using a Bayesian interpolation method anchored to observations from the national inpatient sample. To generate a US stroke forecast for 2019, we linearized time trend estimates from the national inpatient sample to project anticipated AIS hospital volume, distribution, and race/ethnicity characteristics for the year 2019. Primary measures of AIS epidemiology and clinical care included patient and hospital characteristics, stroke severity, vital and laboratory measures, treatment interventions, performance measures, disposition, and clinical outcomes at discharge. RESULTS We estimate 552 476 patients with AIS were admitted in 2019 to US hospitals. Median age was 71 (interquartile range, 60-81), 48.8% female. Atrial fibrillation was diagnosed in 22.6%, 30.2% had prior stroke/transient ischemic attack, and 36.4% had diabetes. At baseline, 46.4% of patients with AIS were taking antiplatelet agents, 19.2% anticoagulants, and 46.3% cholesterol-reducers. Mortality was 4.4%, and only 52.3% were able to ambulate independently at discharge. Performance nationally on AIS achievement measures were generally higher than 95% for all measures but the use of thrombolytics within 3 hours of early stroke presentations (81.9%). Additional quality measures had lower rates of receipt: dysphagia screening (84.9%), early thrombolytics by 4.5 hours (79.7%), and statin therapy (80.6%). CONCLUSIONS We provide timely, reliable, and actionable US national AIS surveillance using Bayesian interpolation poststratification weights. These data may facilitate more targeted quality improvement efforts, resource allocation, and national policies to improve AIS care and outcomes.
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Affiliation(s)
- Boback Ziaeian
- Division of Cardiology, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
- Division of Cardiology, Veteran Affairs Greater Los Angeles Healthcare System, Los Angeles, California
| | - Haolin Xu
- Duke Clinical Research Institute, Durham, North Carolina
| | - Roland A. Matsouaka
- Duke Clinical Research Institute, Durham, North Carolina
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
| | - Ying Xian
- Department of Neurology, Department of Neurology, UT Southwestern Medical Center, Dallas TX
| | | | - Lee S. Schwamm
- Department of Neurology, Comprehensive Stroke Center Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Eric E. Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Gregg C. Fonarow
- Division of Cardiology, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, California
- Ahmanson-UCLA Cardiomyopathy Center, University of California, Los Angeles Medical Center, Los Angeles, California
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17
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Madsen TE, Cummings OW, De Los Rios La Rosa F, Khoury JC, Alwell K, Woo D, Ferioli S, Martini S, Adeoye O, Khatri P, Flaherty ML, Mackey J, Mistry EA, Demel SL, Coleman E, Jasne AS, Slavin SJ, Walsh K, Star M, Broderick JP, Kissela BM, Kleindorfer DO. Substance Use and Performance of Toxicology Screens in the Greater Cincinnati Northern Kentucky Stroke Study. Stroke 2022; 53:3082-3090. [PMID: 35862206 PMCID: PMC9529778 DOI: 10.1161/strokeaha.121.038311] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 05/10/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Though stroke risk factors such as substance use may vary with age, less is known about trends in substance use over time or about performance of toxicology screens in young adults with stroke. METHODS Using the Greater Cincinnati Northern Kentucky Stroke Study, a population-based study in a 5-county region comprising 1.3 million people, we reported the frequency of documented substance use (cocaine/marijuana/opiates/other) obtained from electronic medical record review, overall and by race/gender subgroups among physician-adjudicated stroke events (ischemic and hemorrhagic) in adults 20 to 54 years of age. Secondary analyses included heavy alcohol use and cigarette smoking. Data were reported for 5 one-year periods spanning 22 years (1993/1994-2015), and trends over time were tested. For 2015, to evaluate factors associated with performance of toxicology screens, multiple logistic regression was performed. RESULTS Overall, 2152 strokes were included: 74.5% were ischemic, mean age was 45.7±7.6, 50.0% were women, and 35.9% were Black. Substance use was documented in 4.4%, 10.4%, 19.2%, 24.0%, and 28.8% of cases in 1993/1994, 1999, 2005, 2010, and 2015, respectively (Ptrend<0.001). Between 1993/1994 and 2015, documented substance use increased in all demographic subgroups. Adjusting for gender, comorbidities, and National Institutes of Health Stroke Scale, predictors of toxicology screens included Black race (adjusted odds ratio, 1.58 [95% CI, 1.02-2.45]), younger age (adjusted odds ratio, 0.70 [95% CI, 0.53-0.91], per 10 years), current smoking (adjusted odds ratio, 1.62 [95% CI, 1.06-2.46]), and treatment at an academic hospital (adjusted odds ratio, 1.80 [95% CI, 1.14-2.84]). After adding chart-reported substance use to the model, only chart-reported substance abuse and age were significant. CONCLUSIONS In a population-based study of young adults with stroke, documented substance use increased over time, and documentation of substance use was higher among Black compared with White individuals. Further work is needed to confirm race-based disparities and trends in substance use given the potential for bias in screening and documentation. Findings suggest a need for more standardized toxicology screening.
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Affiliation(s)
- Tracy E. Madsen
- Department of Emergency Medicine, Alpert Medical School of Brown University, Providence, RI
- Department of Epidemiology, Brown University School of Public Health, Providence, RI
| | - Olivia W. Cummings
- Department of Emergency Medicine, Alpert Medical School of Brown University, Providence, RI
| | - Felipe De Los Rios La Rosa
- Miami Neuroscience Institute, Baptist Health South Florida, Miami, FL
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Jane C. Khoury
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kathleen Alwell
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | - Simona Ferioli
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | - Sharyl Martini
- Neurology Program, Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, Texas
| | - Opeolu Adeoye
- Department of Emergency Medicine, Washington University, St. Louis, MO
| | - Pooja Khatri
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | - Matthew L. Flaherty
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | - Jason Mackey
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN
| | - Eva A. Mistry
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | - Stacie L. Demel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | | | - Adam S. Jasne
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | | | - Kyle Walsh
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | | | - Joseph P. Broderick
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | - Brett M. Kissela
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
| | - Dawn O. Kleindorfer
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH
- UC Gardner Neuroscience Institute, Cincinnati, OH
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18
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Scott CA, Li L, Rothwell PM. Diverging Temporal Trends in Stroke Incidence in Younger vs Older People: A Systematic Review and Meta-analysis. JAMA Neurol 2022; 79:1036-1048. [PMID: 35943738 PMCID: PMC9364236 DOI: 10.1001/jamaneurol.2022.1520] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/15/2022] [Indexed: 12/25/2022]
Abstract
Importance Overall stroke incidence is falling in high-income countries, but data on time trends in incidence of young stroke (ie, stroke in individuals younger than 55 years) are conflicting. An age-specific divergence in incidence, with less favorable trends at younger vs older ages, might be a more consistent underlying finding across studies. Objective To compare temporal trends in incidence of stroke at younger vs older ages in high-income countries. Data Sources PubMed and EMBASE were searched from inception to February 2022. One additional population-based study (Oxford Vascular Study) was also included. Study Selection Studies reporting age-specific stroke incidence in high-income countries at more than 1 time point. Data Extraction and Synthesis For all retrieved studies, 2 authors independently reviewed the full text against the inclusion criteria to establish their eligibility. Meta-analysis was performed with the inverse variance-weighted random-effects model. Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline was followed. Main Outcomes and Measures The main outcome was age-specific divergence (<55 vs ≥55 years) in temporal trends in stroke incidence (relative temporal rate ratio [RTTR]) in studies extending to at least 2000. RTTRs were calculated for each study and pooled by random-effects meta-analysis, with stratification by administrative vs prospective population-based methodology, sex, stroke subtype (ischemic vs intracerebral hemorrhage vs subarachnoid hemorrhage) and geographical region. Results Among 50 studies in 20 countries, 26 (13 prospective population-based and 13 administrative studies) reported data allowing calculation of the RTTR for stroke incidence at younger vs older ages across 2 or more periods, the latest extending beyond 2000. Reported trends in absolute incidence of young individuals with stroke were heterogeneous, but all studies showed a less favorable trend in incidence at younger vs older ages (pooled RTTR = 1.57 [95% CI, 1.42-1.74]). The overall RTTR was consistent by stroke subtype (ischemic, 1.62 [95% CI, 1.44-1.83]; intracerebral hemorrhage, 1.32 [95% CI, 0.91-1.92]; subarachnoid hemorrhage, 1.54 [95% CI, 1.00-2.35]); and by sex (men, 1.46 [95% CI, 1.34-1.60]; women, 1.41 [95% CI, 1.28-1.55]) but was greater in studies reporting trends solely after 2000 (1.51 [95% CI, 1.30-1.70]) vs solely before (1.18 [95% CI, 1.12-1.24]) and was highest in population-based studies in which the most recent reported period of ascertainment started after 2010 (1.87 [95% CI, 1.55-2.27]). Conclusions and Relevance Temporal trends in stroke incidence are diverging by age in high-income countries, with less favorable trends at younger vs older ages, highlighting the urgent need to better understand etiology and prevention of stroke at younger ages.
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Affiliation(s)
- Catherine A. Scott
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Linxin Li
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Peter M. Rothwell
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
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19
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Nguyen-Huynh MN, Young JD, Ovbiagele B, Alexander JG, Alexeeff S, Lee C, Blick N, Caan BJ, Go AS, Sidney S. Effect of Lifestyle Coaching or Enhanced Pharmacotherapy on Blood Pressure Control Among Black Adults With Persistent Uncontrolled Hypertension: A Cluster Randomized Clinical Trial. JAMA Netw Open 2022; 5:e2212397. [PMID: 35583869 PMCID: PMC9118047 DOI: 10.1001/jamanetworkopen.2022.12397] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
IMPORTANCE Greater difficulty in controlling blood pressure (BP) and adverse lifestyle practices such as higher salt intake or less physical activity may account for some of the differences between BP control rates in Black vs White adults, thereby exposing Black adults to a higher risk of vascular events. OBJECTIVE To determine whether a lifestyle coaching intervention or an enhanced pharmacotherapy protocol is more effective than usual care in improving BP control rates in Black adults treated within an integrated health care delivery system. DESIGN, SETTING, AND PARTICIPANTS Shake, Rattle & Roll, a cluster randomized clinical trial, was conducted from June 5, 2013, to June 11, 2018, in a large integrated health care delivery system. Enrollment was completed during a 12-month period and interventions were implemented for 12 months. Follow-up lasted 48 months after enrollment. Panels of Black adult members of the health care delivery system with BP of at least 140/90 mm Hg from 98 adult primary care physicians were randomly assigned at the primary care physician level to usual care (UC group [n = 1129]), enhanced pharmacotherapy monitoring (EP group [n = 346]) of current BP management protocol, or diet and lifestyle coaching consisting of photographs, stories, and recipes, for example, that are appropriate for Black adults (LC group [n = 286]) focused on the Dietary Approaches to Stop Hypertension (DASH) diet. Data were analyzed from June 1, 2016, to March 25, 2022. INTERVENTIONS The UC group received care per customary protocol. The EP group was contacted by a research nurse and/or a clinical pharmacist to discuss barriers to hypertension control, and drug therapy emphasized the use of thiazide diuretic intensification and addition of spironolactone as needed. The LC group received as many as 16 telephone sessions with a lifestyle coach and an emphasis on implementing reduction of sodium intake and the DASH diet. MAIN OUTCOMES AND MEASURES Intention-to-treat analysis of BP control rates at end of the 12-month intervention. RESULTS Among the 1761 participants, the mean (SD) age was 61 (13) years, and 1214 (68.9%) were women. At the end of the 12-month intervention period, there was no significant difference in BP control rate among study groups (UC, 61.8% [95% CI, 58.8%-64.9%]; EP, 64.5% [95% CI, 59.0%-69.4%]; LC, 67.8% [95% CI, 62.1%-73.2%]; LC vs EP, P = .07). However, greater BP control was present in the LC group vs UC at 24 months (UC, 61.2% [95% CI, 57.3%-64.7%]; EP, 67.6% [95% CI, 61.9%-72.8%]; LC, 72.4% [95% CI, 66.9%-78.1%]; LC vs UC, P = .001), and 48 months (UC, 64.5% [95% CI, 61.6%-67.2%]; EP, 66.5% [95% CI, 61.3%-71.3%]; LC, 73.1% [95% CI, 67.6%-77.9%]; LC vs UC, P = .006) after enrollment. The contribution of BP medication adherence to explain group differences was inconclusive. CONCLUSIONS AND RELEVANCE In this cluster randomized clinical trial including Black adults with persistent uncontrolled hypertension, a 12-month LC intervention was more effective at controlling BP than UC at 24 and 48 months after enrollment. Further research is needed to explore the potential implementation of this intervention into clinical practice. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01892592.
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Affiliation(s)
- Mai N. Nguyen-Huynh
- Department of Neurology, Kaiser Permanente Walnut Creek Medical Center, Walnut Creek, California
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Joseph D. Young
- Department of Medicine, Kaiser Permanente Oakland Medical Center, Oakland, California
| | - Bruce Ovbiagele
- Department of Neurology, University of California, San Francisco
| | | | - Stacey Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Catherine Lee
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Noelle Blick
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Bette J. Caan
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Alan S. Go
- Division of Research, Kaiser Permanente Northern California, Oakland
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
- Department of Epidemiology, Biostatistics and Medicine, University of California, San Francisco
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland
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20
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Ferrone SR, Boltyenkov AT, Lodato Z, O'Hara J, Vialet J, Malhotra A, Katz JM, Wang JJ, Feizullayeva C, Sanelli PC. Clinical Outcomes and Costs of Recurrent Ischemic Stroke: A Systematic Review. J Stroke Cerebrovasc Dis 2022; 31:106438. [PMID: 35397253 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106438] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 02/04/2022] [Accepted: 02/23/2022] [Indexed: 10/18/2022] Open
Abstract
OBJECTIVE Recurrent stroke patients suffer significant morbidity and mortality, representing almost 30% of the stroke population. Our objective was to determine the clinical outcomes and costs of recurrent ischemic stroke (recurrent-IS). METHODS Our study protocol was registered with the International Prospective Register of Systematic Reviews (CRD42020192709). Following PRISMA guidelines, our medical librarian conducted a search in EMBASE, PubMed, Web-of-Science, Scopus, and CINAHL (last performed on August 25, 2020). INCLUSION CRITERIA (1) Studies reporting clinical outcomes and/or costs of recurrent-IS; (2) Original research published in English in year 2010 or later; (3) Study participants aged ≥18 years. EXCLUSION CRITERIA (1) Case reports/studies, abstracts/posters, Editorial letters/reviews; (2) Studies analyzing interventions other than intravenous thrombolysis and thrombectomy. Four independent reviewers selected studies with review of titles/abstracts and full-text, and performed data extraction. Discrepancies were resolved by a senior independent arbitrator. Risk-of-bias was assessed using the Mixed Methods Appraisal Tool. RESULTS Initial search yielded 20,428 studies. Based on inclusion/exclusion criteria, 9 studies were selected, consisting of 24,499 recurrent-IS patients. In 5 studies, recurrent-IS ranged from 4.4-56.8% of the ischemic stroke cohorts at 3 or 12 months, or undefined follow-up. Mean age was 60-80 years and female proportions were 38.5-61.1%. Clinical outcomes included mortality 11.6-25.9% for in-hospital, 30-days, or 4-years (3 studies). In one study from the U.S., mean in-hospital costs were $17,121(SD-$53,693) and 1-year disability costs were $34,639(SD-$76,586) per patient. CONCLUSIONS Our study highlights the paucity of data on clinical outcomes and costs of recurrent-IS and identifies gaps in existing literature to direct future research.
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Affiliation(s)
- Sophia R Ferrone
- Imaging Clinical Effectiveness and Outcomes Research (iCEOR), Institute of Health System Science, Feinstein Institutes for Medical Research, 600 Community Drive, Manhasset, NY 11030, USA
| | - Artem T Boltyenkov
- Imaging Clinical Effectiveness and Outcomes Research (iCEOR), Institute of Health System Science, Feinstein Institutes for Medical Research, 600 Community Drive, Manhasset, NY 11030, USA; Siemens Medical Solutions USA Inc., 40 Liberty Blvd, Malvern, PA 19355, USA
| | - Zachary Lodato
- Imaging Clinical Effectiveness and Outcomes Research (iCEOR), Institute of Health System Science, Feinstein Institutes for Medical Research, 600 Community Drive, Manhasset, NY 11030, USA
| | - Joseph O'Hara
- Imaging Clinical Effectiveness and Outcomes Research (iCEOR), Institute of Health System Science, Feinstein Institutes for Medical Research, 600 Community Drive, Manhasset, NY 11030, USA
| | - Jaclyn Vialet
- Clinical Medical Library, Northwell Health, 300 Community Drive, Manhasset, NY 11030, USA
| | - Ajay Malhotra
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06510, USA
| | - Jeffrey M Katz
- Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 500 Hofstra Blvd, Hempstead, NY 11549, USA
| | - Jason J Wang
- Imaging Clinical Effectiveness and Outcomes Research (iCEOR), Institute of Health System Science, Feinstein Institutes for Medical Research, 600 Community Drive, Manhasset, NY 11030, USA; Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 500 Hofstra Blvd, Hempstead, NY 11549, USA
| | - Chinara Feizullayeva
- Imaging Clinical Effectiveness and Outcomes Research (iCEOR), Institute of Health System Science, Feinstein Institutes for Medical Research, 600 Community Drive, Manhasset, NY 11030, USA
| | - Pina C Sanelli
- Imaging Clinical Effectiveness and Outcomes Research (iCEOR), Institute of Health System Science, Feinstein Institutes for Medical Research, 600 Community Drive, Manhasset, NY 11030, USA; Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 500 Hofstra Blvd, Hempstead, NY 11549, USA.
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21
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van Gaal S, Alimohammadi A, Yu AYX, Karim ME, Zhang W, Sutherland JM. Accurate classification of carotid endarterectomy indication using physician claims and hospital discharge data. BMC Health Serv Res 2022; 22:379. [PMID: 35317793 PMCID: PMC8941812 DOI: 10.1186/s12913-022-07614-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 02/09/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND AND PURPOSE Studies of carotid endarterectomy (CEA) require stratification by symptomatic vs asymptomatic status because of marked differences in benefits and harms. In administrative datasets, this classification has been done using hospital discharge diagnosis codes of uncertain accuracy. This study aims to develop and evaluate algorithms for classifying symptomatic status using hospital discharge and physician claims data. METHODS A single center's administrative database was used to assemble a retrospective cohort of participants with CEA. Symptomatic status was ascertained by chart review prior to linkage with physician claims and hospital discharge data. Accuracy of rule-based classification by discharge diagnosis codes was measured by sensitivity and specificity. Elastic net logistic regression and random forest models combining physician claims and discharge data were generated from the training set and assessed in a test set of final year participants. Models were compared to rule-based classification using sensitivity at fixed specificity. RESULTS We identified 971 participants undergoing CEA at the Vancouver General Hospital (Vancouver, Canada) between January 1, 2008 and December 31, 2016. Of these, 729 met inclusion/exclusion criteria (n = 615 training, n = 114 test). Classification of symptomatic status using hospital discharge diagnosis codes was 32.8% (95% CI 29-37%) sensitive and 98.6% specific (96-100%). At matched 98.6% specificity, models that incorporated physician claims data were significantly more sensitive: elastic net 69.4% (59-82%) and random forest 78.8% (69-88%). CONCLUSION Discharge diagnoses were specific but insensitive for the classification of CEA symptomatic status. Elastic net and random forest machine learning algorithms that included physician claims data were sensitive and specific, and are likely an improvement over current state of classification by discharge diagnosis alone.
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Affiliation(s)
- Stephen van Gaal
- Faculty of Medicine, University of British Columbia, 8161-2775 Laurel Street, Vancouver, BC, V5Z1M9, Canada.
| | - Arshia Alimohammadi
- Faculty of Medicine, University of British Columbia, 8161-2775 Laurel Street, Vancouver, BC, V5Z1M9, Canada
| | - Amy Y X Yu
- Department of Medicine (Neurology), University of Toronto, Toronto, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Mohammad Ehsanul Karim
- School of Population and Public Health, University of British Columbia, Centre for Health Evaluation and Outcome Sciences, Vancouver, Canada
| | - Wei Zhang
- School of Population and Public Health, University of British Columbia, Centre for Health Evaluation and Outcome Sciences, Vancouver, Canada
| | - Jason M Sutherland
- Centre for Health Services and Policy Research, University of British Columbia, Vancouver, Canada
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22
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Zajkowska Z, Gullett N, Walsh A, Zonca V, Pedersen GA, Souza L, Kieling C, Fisher HL, Kohrt BA, Mondelli V. Cortisol and development of depression in adolescence and young adulthood - a systematic review and meta-analysis. Psychoneuroendocrinology 2022; 136:105625. [PMID: 34920399 PMCID: PMC8783058 DOI: 10.1016/j.psyneuen.2021.105625] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 11/03/2021] [Accepted: 12/06/2021] [Indexed: 01/30/2023]
Abstract
INTRODUCTION Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis has been implicated in the development of major depressive disorder (MDD) in adulthood. Less work has focused on the role of the HPA axis in depression in adolescence and young adulthood globally. The aim of this study was to conduct a systematic review and meta-analysis of worldwide research investigating the relationship between cortisol, a measure of HPA axis activity, and MDD in adolescence and young adulthood. METHOD We searched MEDLINE, PsycINFO, Cochrane Database of Systematic Reviews, Web of Science, Lilacs, African Journals Online, and Global Health for studies which examined the relationship between cortisol and MDD in global youth (10-24 years old). RESULTS Twenty-six studies were included in the systematic review and 14 were eligible for the meta-analysis, but only one study included young adults in their sample. Results from the meta-analysis demonstrated that elevated morning, but not evening, cortisol levels was prospectively associated with later MDD development in adolescence and young adulthood. However, morning cortisol levels did not significantly differ between healthy controls and individuals with MDD in cross-sectional studies. Afternoon cortisol and cortisol stress response also did not differ between adolescents with MDD and healthy controls. Qualitative synthesis of the three studies examining nocturnal cortisol showed higher nocturnal cortisol was both longitudinally and cross-sectionally associated with MDD in adolescence. CONCLUSION Our findings suggest elevated morning cortisol precedes depression in adolescence. Despite this, we did not find any differences in other cortisol measures in association with MDD in cross-sectional studies. Taken together, these findings suggest that elevated morning and nocturnal cortisol are risk factors for depression in adolescence rather than a biomarker of existing MDD. This supports a role for the hyperactivity of the HPA axis in the development of MDD in adolescence. Most of the studies were from high-income-countries (HICs) and thus further work would need to be conducted in low- and middle-income countries (LMICs) to understand if our findings are generalisable also to these populations.
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Affiliation(s)
- Zuzanna Zajkowska
- King’s College London, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Nancy Gullett
- King’s College London, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Annabel Walsh
- King’s College London, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Valentina Zonca
- King’s College London, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, London, UK,Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Gloria A. Pedersen
- Division of Global Mental Health, Department of Psychiatry, School of Medicine and Health Sciences, The George Washington University, 2120L St NW, Ste 600, Washington, DC 20037, USA
| | - Laila Souza
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Child & Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos, 2350 – 400N, Porto Alegre, RS 90035–903, Brazil
| | - Christian Kieling
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Child & Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Rua Ramiro Barcelos, 2350 – 400N, Porto Alegre, RS 90035–903, Brazil
| | - Helen L. Fisher
- King’s College London, Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK,ESRC Centre for Society and Mental Health, King’s College London, London, UK
| | - Brandon A. Kohrt
- Division of Global Mental Health, Department of Psychiatry, School of Medicine and Health Sciences, The George Washington University, 2120L St NW, Ste 600, Washington, DC 20037, USA
| | - Valeria Mondelli
- King's College London, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, London, UK; National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, UK.
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23
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Meng X, Ji J. Infarct volume and outcome of cerebral ischaemia, a systematic review and meta-analysis. Int J Clin Pract 2021; 75:e14773. [PMID: 34478602 DOI: 10.1111/ijcp.14773] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 08/30/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Multiple studies have evaluated the accuracy of infarct volume (IV) as a predictor of outcome in patients with ischaemic stroke; however, no study has systematically reviewed the results of these studies. AIM This systematic review and meta-analysis aim to sum up the results of the studies evaluating IV as the prognostic criteria for patients with cerebral ischaemia. METHODS Human studies that reported the infarction volume and any prognostic outcome in patients with ischaemic stroke were collected from PubMed, Scopus, Embase and Cochrane library databases. Newcastle-Ottawa Quality Assessment Checklist was applied to evaluate the quality of the included articles. 90-day modified Rankin Scale (mRS) score was used as a meta-analysis outcome. The area under the curve, sensitivity and specificity among included studies was evaluated. The heterogeneity of the studies was assessed by Cochran test Egger and Begg test was used for assessing publication bias. RESULTS Among the included studies, nine studies assessed the association between IV and outcome (90-day mRS score). The results of the meta-analysis revealed a significant association between IV with the unfavourable functional outcome (mRS score of 3-6) (OR = 0.80; 95% CI: 0.74-0.86 per 10 mL, P < .001; I2 = 98.1%, P < .001). The infarction volume cut of point between 20 and 50 mL showed the best sensitivity and specificity for the prediction of poor clinical outcomes in patients with ischaemic stroke. CONCLUSION The results of the meta-analysis revealed a significant association between IV and unfavourable functional outcomes in patients with ischaemic stroke.
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Affiliation(s)
- Xianbing Meng
- Department of Neurosurgery, The Second Affiliated Hospital of Shandong First Medical University, Taian, China
| | - Jianwen Ji
- Neurological Center, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital), Chongqing, China
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24
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Catapano JS, Rumalla K, Srinivasan VM, Nguyen CL, Farhadi DS, Ngo B, Rutledge C, Rahmani R, Baranoski JF, Cole TS, Jadhav AP, Ducruet AF, Albuquerque FC. Delays in presentation and mortality among Black patients with mechanical thrombectomy after large-vessel stroke at a US hospital. Neurosurg Focus 2021; 51:E9. [PMID: 34198259 DOI: 10.3171/2021.4.focus2182] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/06/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The incidence and severity of stroke are disproportionately greater among Black patients. In this study, the authors sought to examine clinical outcomes among Black versus White patients after mechanical thrombectomy for stroke at a single US institution. METHODS All patients who underwent mechanical thrombectomy at a single center from January 1, 2014, through March 31, 2020, were retrospectively analyzed. Patients were grouped based on race, and demographic characteristics, preexisting conditions, clinical presentation, treatment, and stroke outcomes were compared. The association of race with mortality was analyzed in multivariable logistic regression analysis adjusted for potential confounders. RESULTS In total, 401 patients (233 males) with a reported race of Black (n = 28) or White (n = 373) underwent mechanical thrombectomy during the study period. Tobacco use was more prevalent among Black patients (43% vs 24%, p = 0.04), but there were no significant differences between the groups with respect to insurance, coronary artery disease, diabetes, illicit drug use, hypertension, or hyperlipidemia. The mean time from stroke onset to hospital presentation was significantly greater among Black patients (604.6 vs 333.4 minutes) (p = 0.007). There were no differences in fluoroscopy time, procedural success (Thrombolysis in Cerebral Infarction grade 2b or 3), hospital length of stay, or prevalence of hemicraniectomy. In multivariable analysis, Black race was strongly associated with higher mortality (32.1% vs 14.5%, p = 0.01). The disparity in mortality rates resolved after adjusting for the average time from stroke onset to presentation (p = 0.14). CONCLUSIONS Black race was associated with an increased risk of death after mechanical thrombectomy for stroke. The increased risk may be associated with access-related factors, including delayed presentation to stroke centers.
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25
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Sucharew H, Kleindorfer D, Khoury JC, Alwell K, Haverbusch M, Stanton R, Demel S, De Los Rios La Rosa F, Ferioli S, Jasne A, Mistry E, Moomaw CJ, Mackey J, Slavin S, Star M, Walsh K, Woo D, Kissela BM. Deriving Place of Residence, Modified Rankin Scale, and EuroQol-5D Scores from the Medical Record for Stroke Survivors. Cerebrovasc Dis 2021; 50:567-573. [PMID: 34107479 DOI: 10.1159/000516571] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 04/16/2021] [Indexed: 11/19/2022] Open
Affiliation(s)
- Heidi Sucharew
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Dawn Kleindorfer
- Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Jane C Khoury
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, USA
| | - Kathleen Alwell
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Mary Haverbusch
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Robert Stanton
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Stacie Demel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Felipe De Los Rios La Rosa
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA.,Baptist Health Neuroscience Center, Baptist Hospital of Miami, Miami, Florida, USA
| | - Simona Ferioli
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Adam Jasne
- Department of Neurology, Yale University, New Haven, Connecticut, USA
| | - Eva Mistry
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Charles J Moomaw
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Jason Mackey
- Department of Neurology, Indiana University, Indianapolis, Indiana, USA
| | - Sabreena Slavin
- Department of Neurology, University of Kansas Medical Center, Kansas, Kansas, USA
| | - Michael Star
- Department of Neurology, Soroka Medical Center, Beersheva, Israel
| | - Kyle Walsh
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Brett M Kissela
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
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26
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Hornnes N. Prevention after stroke: A quality assurance study. Acta Neurol Scand 2021; 143:646-652. [PMID: 33764498 DOI: 10.1111/ane.13412] [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: 11/13/2020] [Revised: 02/10/2021] [Accepted: 02/27/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVES In 1997, the Copenhagen Stroke Study revealed that stroke was recurrent in 23% of patients admitted with a stroke. Predictors of recurrence were history of transient ischaemic attack, atrial fibrillation, male gender and hypertension. In 2011, the Danish recurrence rate was 25%. With the aim of preventing recurrent stroke, a preventive clinic was established in 2014 at the Department of Neurology, Herlev Hospital. Data from the preventive clinic are analysed in the present study. MATERIALS AND METHODS Data from visits to the clinic from October 2014 to October 2016 were collected from electronic medical records. Data on subsequent admissions with stroke were collected from October 2014 to the end of 2017. Data were collected and analyzed as a means of quality assurance. RESULTS Data from 1083 patients showed that half of the patients were hypertensive at discharge regardless of admission with first ever or recurrent stroke. Nurses at the clinic initiated or intensified antihypertensive medication in 40% of patients. Blood pressure was at target in 64% of patients at last visit to the clinic. Stepwise Cox proportional hazard regression analysis of 1024 patients admitted with ischaemic stroke or transient ischaemic attack showed that tobacco smoking (HR 1.80), admission with a recurrent stroke (HR 1.76) and cholesterol-lowering treatment (HR 1.67) were independent predictors of stroke recurrence. CONCLUSIONS The recurrence rate in Denmark has remained unchanged for two decades. Risk factors for recurrence seem to change over time. Identification and treatment of actual risk factors may be a way to reduce recurrence.
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Affiliation(s)
- Nete Hornnes
- Department of Neurology Herlev and Gentofte Hospital University of Copenhagen Herlev Denmark
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27
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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: 2.3] [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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28
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Ziaeian B, Xu H, Matsouaka RA, Xian Y, Khan Y, Schwamm LS, Smith EE, Fonarow GC. National surveillance of stroke quality of care and outcomes by applying post-stratification survey weights on the Get With The Guidelines-Stroke patient registry. BMC Med Res Methodol 2021; 21:23. [PMID: 33541273 PMCID: PMC7863276 DOI: 10.1186/s12874-021-01214-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 01/22/2021] [Indexed: 01/01/2023] Open
Abstract
Background The U.S. lacks a stroke surveillance system. This study develops a method to transform an existing registry into a nationally representative database to evaluate acute ischemic stroke care quality. Methods Two statistical approaches are used to develop post-stratification weights for the Get With The Guidelines-Stroke registry by anchoring population estimates to the National Inpatient Sample. Post-stratification survey weights are estimated using a raking procedure and Bayesian interpolation methods. Weighting methods are adjusted to limit the dispersion of weights and make reasonable epidemiologic estimates of patient characteristics, quality of hospital care, and clinical outcomes. Standardized differences in national estimates are reported between the two post-stratification methods for anchored and non-anchored patient characteristics to evaluate estimation quality. Primary measures evaluated are patient and hospital characteristics, stroke severity, vital and laboratory measures, disposition, and clinical outcomes at discharge. Results A total of 1,388,296 acute ischemic strokes occurred between 2012 and 2014. Raking and Bayesian estimates of clinical data not available in administrative data are estimated within 5 to 10% of margin for expected values. Median weight for the raking method is 1.386 and the weights at the 99th percentile is 6.881 with a maximum weight of 30.775. Median Bayesian weight is 1.329 and the 99th percentile weights is 11.201 with a maximum weight of 515.689. Conclusions Leveraging existing databases with patient registries to develop post-stratification weights is a reliable approach to estimate acute ischemic stroke epidemiology and monitoring for stroke quality of care nationally. These methods may be applied to other diseases or settings to better monitor population health. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-021-01214-z.
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Affiliation(s)
- Boback Ziaeian
- Division of Cardiology, David Geffen School of Medicine at University of California, 10833 LeConte Avenue, Room A2-237 CHS, Los Angeles, CA, 90095-1679, USA. .,Division of Cardiology, Veteran Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA.
| | - Haolin Xu
- Duke Clinical Research Institute, Durham, North Carolina, UK
| | - Roland A Matsouaka
- Duke Clinical Research Institute, Durham, North Carolina, UK.,Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, UK
| | - Ying Xian
- Duke Clinical Research Institute, Durham, North Carolina, UK.,Department of Neurology, Duke University Medical Center, Durham, North Carolina, UK
| | - Yosef Khan
- Healthcare Quality Research and Bioinformatics, American Heart Association, Dallas, TX, USA
| | - Lee S Schwamm
- Department of Neurology, Comprehensive Stroke Center Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Gregg C Fonarow
- Division of Cardiology, David Geffen School of Medicine at University of California, 10833 LeConte Avenue, Room A2-237 CHS, Los Angeles, CA, 90095-1679, USA.,Ahmanson-UCLA Cardiomyopathy Center, University of California, Los Angeles Medical Center, Los Angeles, California, USA
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29
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Gaffey AE, Rosman L, Burg MM, Haskell SG, Brandt CA, Skanderson M, Dziura J, Sico JJ. Posttraumatic Stress Disorder, Antidepressant Use, and Hemorrhagic Stroke in Young Men and Women: A 13-Year Cohort Study. Stroke 2021; 52:121-129. [PMID: 33297868 PMCID: PMC7770089 DOI: 10.1161/strokeaha.120.030379] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 09/11/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE Antidepressants are commonly prescribed for posttraumatic stress disorder (PTSD) and may increase the risk of bleeding, including hemorrhagic stroke. METHODS We prospectively examined independent effects of PTSD, selective serotonin and norepinephrine reuptake inhibitors (SSRI and SNRI) on the risk of incident hemorrhagic stroke in a nationwide sample of 1.1 million young and middle-aged veterans. Time-varying multivariate Cox models were used to examine hemorrhagic stroke risk by PTSD status and use of SSRI or SNRI while adjusting for demographics, lifestyle factors, stroke, and psychiatric comorbidities. Sensitivity analyses controlled for health care utilization. RESULTS During 13 years of follow-up (2.14 years on average), 507 patients (12% women) suffered a hemorrhagic stroke. The overall incidence rate was 1.70 events per 10 000-person years. In unadjusted models, PTSD was associated with an 82% greater risk of new-onset hemorrhagic stroke (hazard ratio [HR], 1.82 [95% CI, 1.48-2.24]), SSRI use was associated with a >2-fold risk (HR, 2.02 [95% CI, 1.66-2.57]), and SNRI use was associated with a 52% greater risk (HR, 1.52 [95% CI, 1.08-2.16]). In fully adjusted models, effects of PTSD and SNRI were attenuated (adjusted HR, 1.03 [95% CI, 0.81-1.34]; adjusted HR, 1.19 [95% CI, 0.83-1.71]), but SSRI use remained associated with a 45% greater risk of hemorrhagic stroke (adjusted HR, 1.45 [95% CI, 1.13-1.85]). Hypertension, drug abuse, and alcohol abuse were also associated with increased stroke risk. Nonobesity and being non-Hispanic were protective factors. In sensitivity analyses, health care utilization was a small but significant predictor of stroke. CONCLUSIONS In the largest known investigation of PTSD and antidepressant-associated risk for hemorrhagic stroke in young adults, use of SSRIs, but neither PTSD nor SNRIs were independently associated with incident stroke. SNRIs may be preferable for treating PTSD and comorbid conditions, although pursuing other modifiable risk factors and non-pharmacological treatments for PTSD also remains essential.
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Affiliation(s)
- Allison E. Gaffey
- VA Connecticut Healthcare System, West Haven, CT
- Department of Internal Medicine (Cardiovascular Medicine),
Yale School of Medicine, New Haven, CT
| | - Lindsey Rosman
- Division of Cardiology, Department of Medicine, University
of North Carolina, Chapel Hill, Chapel Hill, NC
| | - Matthew M. Burg
- VA Connecticut Healthcare System, West Haven, CT
- Department of Internal Medicine (Cardiovascular Medicine),
Yale School of Medicine, New Haven, CT
- Department of Anesthesiology, Yale School of Medicine
| | - Sally G. Haskell
- VA Connecticut Healthcare System, West Haven, CT
- Department of Internal Medicine (General Medicine), Yale
School of Medicine
| | - Cynthia A. Brandt
- VA Connecticut Healthcare System, West Haven, CT
- Department of Emergency Medicine, Yale School of
Medicine
- Yale Center for Medical Informatics, Yale School of
Medicine
| | | | - James Dziura
- VA Connecticut Healthcare System, West Haven, CT
- Department of Emergency Medicine, Yale School of
Medicine
| | - Jason J. Sico
- VA Connecticut Healthcare System, West Haven, CT
- Department of Internal Medicine (General Medicine), Yale
School of Medicine
- Department of Neurology and Center for NeuroEpidemiological
and Clinical Neurological Research, Yale School of Medicine
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30
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Ascher E, Gunduz Y, Hingorani A, Yorkovich W. Posterior Transverse Plication : A Technique for Treatment of Redundant Internal Carotid Artery During Endarterectomy. Acta Chir Belg 2020. [DOI: 10.1080/00015458.2001.12098585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- E. Ascher
- Maimonides Medical Center, Brooklyn, NY, USA
| | - Y. Gunduz
- Maimonides Medical Center, Brooklyn, NY, USA
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31
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English SW, Saigle V, McIntyre L, Chassé M, Fergusson D, Turgeon AF, Lauzier F, Griesdale D, Garland A, Zarychanski R, Algird A, Wiens EJ, Hu V, Dutta P, Boun V, van Walraven C. External validation demonstrated the Ottawa SAH prediction models can identify pSAH using health administrative data. J Clin Epidemiol 2020; 126:122-130. [PMID: 32619751 DOI: 10.1016/j.jclinepi.2020.06.024] [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: 01/30/2020] [Revised: 05/22/2020] [Accepted: 06/23/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES The objective of the study is to externally validate three primary subarachnoid hemorrhage (pSAH) identification models. STUDY DESIGN AND SETTING We evaluated three models that identify pSAH using recursive partitioning (A), logistic regression (B), and a prevalence-adjusted logistic regression(C), respectively. Blinded chart review and/or linkage to existing registries determined pSAH status. We included all patients aged ≥18 in four participating center registries or whose discharge abstracts contained ≥1 administrative codes of interest between January 1, 2012 and December 31, 2013. RESULTS A total of 3,262 of 193,190 admissions underwent chart review (n = 2,493) or registry linkage (n = 769). A total of 657 had pSAH confirmed (20·1% sample, 0·34% admissions). The sensitivity, specificity, and positive predictive value (PPV) were as follows: i) model A: 98·3% (97·0-99·2), 53·5% (51·5-55·4), and 34·8% (32·6-37·0); ii) model B (score ≥6): 98·0% (96·6-98·9), 47·4% (45·5-49·4), and 32·0% (30·0-34·1); and iii) model C (score ≥2): 95·7% (93·9-97·2), 85·5% (84·0-86·8), and 62·3 (59·3-65·3), respectively. Model C scores of 0, 1, 2, 3, or 4 had probabilities of 0·5% (0·2-1·5), 1·5% (1·0-2·2), 24·8% (21·0-29·0), 90·0% (86·8-92·0), and 97·8% (88·7-99·6), without significant difference between centers (P = 0·86). The PPV of the International Classification of Diseases code (I60) was 63·0% (95% confidence interval: 60·0-66·0). CONCLUSIONS All three models were highly sensitive for pSAH. Model C could be used to adjust for misclassification bias.
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Affiliation(s)
- Shane W English
- Department of Medicine (Critical Care), uOttawa, Civic Campus Room F202, 1053 Carling Avenue, Ottawa, Ontario K1Y 4E9, Canada; Clinical Epidemiology Program (CEP), Ottawa Hospital Research Institute (OHRI), Civic Campus Room F202, 1053 Carling Avenue, Ottawa, Ontario K1Y 4E9, Canada.
| | - Victoria Saigle
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, The Ottawa Hospital - General Campus, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada
| | - Lauralyn McIntyre
- Department of Medicine (Critical Care), uOttawa, Civic Campus Room F202, 1053 Carling Avenue, Ottawa, Ontario K1Y 4E9, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, The Ottawa Hospital - General Campus, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada
| | - Michaël Chassé
- Division of Critical Care, Department of Medicine, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, 900 St Denis Street, Montreal, Quebec H2X 0A9, Canada
| | - Dean Fergusson
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, The Ottawa Hospital - General Campus, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada; Department of Medicine (Clinical Epidemiology), uOttawa, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada
| | - Alexis F Turgeon
- Centre de recherche du CHU de Québec - Université Laval, Population Health and Optimal Health Practices Research Unit (Trauma - Emergency - Critical Care Medicine), 1050 Chemin Sainte-Foy, Local K0-03, Québec, Québec G1S 4L8, Canada; Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Université Laval, 2325 Rue de l'Université, Québec, Québec G1V 0A6, Canada
| | - François Lauzier
- Centre de recherche du Centre Hospitalier de l'Université de Québec, Université Laval, Québec City, Québec, Canada; Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, and Department of Medicine, Université Laval, 2325 Rue de l'Université, Québec, Québec G1V 0A6, Canada
| | - Donald Griesdale
- Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, 2176 Health Sciences Mall, Vancouver, British Columbia V6T 1Z3, Canada
| | - Allan Garland
- Sections of Critical Care and Respirology, Department of Internal Medicine, University of Manitoba, Health Sciences Centre, University of Manitoba, 820 Sherbrook Street, Winnipeg, Manitoba R3A 1R9, Canada
| | - Ryan Zarychanski
- Department of Internal Medicine, Sections of Critical Care and Hematology/Medical Oncology, University of Manitoba, Health Sciences Centre, University of Manitoba, 820 Sherbrook Street, Winnipeg Manitoba R3A 1R9, Canada
| | - Almunder Algird
- Department of Neurosurgery, McMaster University, Hamilton Health Sciences, 1200 Main St W, Hamilton, Ontario L8N 3Z5, Canada
| | - Evan J Wiens
- Department of Internal Medicine, University of Manitoba, Health Sciences Centre, University of Manitoba, 820 Sherbrook Street, Winnipeg Manitoba R3A 1R9, Canada
| | - Vivien Hu
- Department of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, 2176 Health Sciences Mall, Vancouver, British Columbia V6T 1Z3, Canada
| | - Pallavi Dutta
- Faculty of Health Sciences, McMaster University, 1200 Main St W, Hamilton, Ontario L8N 3Z5, Canada
| | - Vincent Boun
- Centre de recherche du CHU de Québec - Université Laval, Population Health and Optimal Health Practices Research Unit (Trauma - Emergency - Critical Care Medicine), 1050 Chemin Sainte-Foy, Local K0-03, Québec, Québec G1S 4L8, Canada
| | - Carl van Walraven
- Department of Medicine (Clinical Epidemiology), uOttawa, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, 1053 Carling Avenue Building, 1st Floor, Ottawa, Ontario K1Y 4E9, Canada; ICES-uOttawa, Administrative Services, 1053 Carling Avenue Building, 1st Floor, Ottawa, Ontario K1Y 4E9, Canada
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Mahajan A, Chirra M, Dwivedi AK, Sturchio A, Keeling EG, Marsili L, Espay AJ. Skin Cancer May Delay Onset but Not Progression of Parkinson's Disease: A Nested Case-Control Study. Front Neurol 2020; 11:406. [PMID: 32547471 PMCID: PMC7270344 DOI: 10.3389/fneur.2020.00406] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 04/17/2020] [Indexed: 01/15/2023] Open
Abstract
Objective: To evaluate the extent to which cancer, a biological opposite to neurodegenerative disorders, may affect the onset and progression of Parkinson's disease (PD). Methods: A nested case-control design in consecutive PD patients with (cases) vs. without (controls) cancer was used to compare time to clinical diagnosis and time to Hoehn & Yahr (H&Y) staging score ≥ 3 as a measure of progression. Further, we compared PD onset and progression between cases with cancer diagnosis before (cancer before PD group) and after (cancer after PD group) PD onset. Independent variables were age at PD onset, motor subscale of the Movement Disorders Society-Unified Parkinson's Disease Rating Scale, sex, cognitive impairment, falls, depression, anxiety, dementia, and autonomic symptoms. Time to H&Y ≥ 3 was determined using Cox proportional hazards, with adjusted results summarized as hazards ratio (HR). Group differences were evaluated using unpaired t-test or Fisher's exact test. Results: The clinical PD onset was later in cases vs. controls (median 67.2 vs. 59.8 years; p < 0.001), but the adjusted time to H&Y ≥ 3 was similar between groups (HR = 0.67; p = 0.13). Skin cancers constituted 75% of all cancers in cases. Amongst skin cancers, compared to controls, cases had an older age at PD onset (67.8 vs. 59.8 years; p < 0.001). There was no difference in risk of progression in PD patients with skin cancer compared to controls (HR = 0.54, p = 0.09). Conclusions: Cancer, in particular of the skin, may delay the onset but not the progression of PD. Future prospective observational studies are warranted to elucidate the complex interactions between these biologically divergent disorders.
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Affiliation(s)
- Abhimanyu Mahajan
- Department of Neurology, James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, United States
| | - Martina Chirra
- Medical Oncology Unit, Department of Oncology, University of Siena, Siena, Italy.,Division of Hematology-Oncology, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, United States
| | - Alok K Dwivedi
- Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Texas Tech University Health Sciences Center, El Paso, TX, United States
| | - Andrea Sturchio
- Department of Neurology, James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, United States
| | - Elizabeth G Keeling
- Department of Neurology, James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, United States
| | - Luca Marsili
- Department of Neurology, James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, United States
| | - Alberto J Espay
- Department of Neurology, James J. and Joan A. Gardner Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, United States
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Sawano M, Yuan Y, Kohsaka S, Inohara T, Suzuki T, Okamura T, Howard G, Howard VJ, Judd S, Soliman EZ, Cushman M. Electrocardiographic ST-T Abnormities Are Associated With Stroke Risk in the REGARDS Study. Stroke 2020; 51:1100-1106. [PMID: 32126939 DOI: 10.1161/strokeaha.119.028069] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- In previous studies, isolated nonspecific ST-segment and T-wave abnormalities (NSSTTAs), a common finding on ECGs, were associated with greater risk for incident coronary artery disease. Their association with incident stroke remains unclear. Methods- The REGARDS (Reasons for Geographic and Racial Differences in Stroke) study is a population-based, longitudinal study of 30 239 white and black adults enrolled from 2003 to 2007 in the United States. NSSTTAs were defined from baseline ECG using the standards of Minnesota ECG Classification (Minnesota codes 4-3, 4-4, 5-3, or 5-4). Participants with prior stroke, coronary heart disease, and major and minor ECG abnormalities other than NSSTTAs were excluded from analysis. Multivariable Cox proportional hazards regression was used to examine calculate hazard ratios of incident ischemic stroke by presence of baseline NSSTTAs. Results- Among 14 077 participants, 3111 (22.1%) had NSSTTAs at baseline. With a median of 9.6 years follow-up, 106 (3.4%) with NSSTTAs had ischemic stroke compared with 258 (2.4%) without NSSTTAs. The age-adjusted incidence rates (per 1000 person-years) of stroke were 2.93 in those with NSSTTAs and 2.19 in those without them. Adjusting for baseline age, sex, race, geographic location, and education level, isolated NSSTTAs were associated with a 32% higher risk of ischemic stroke (hazard ratio, 1.32 [95% CI, 1.05-1.67]). With additional adjustment for stroke risk factors, the risk of stroke was increased 27% (hazard ratio, 1.27 [95% CI, 1.00-1.62]) and did not differ by age, race, or sex. Conclusions- Presence of NSSTTAs in persons with an otherwise normal ECG was associated with a 27% increased risk of future ischemic stroke.
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Affiliation(s)
- Mitsuaki Sawano
- From the Department of Cardiology, Keio University School of Medicine, Tokyo, Japan (M.S., S.K., T.I.)
| | - Ya Yuan
- Department of Biostatistics (Y.Y., G.H., S.J.)
| | - Shun Kohsaka
- From the Department of Cardiology, Keio University School of Medicine, Tokyo, Japan (M.S., S.K., T.I.)
| | - Taku Inohara
- From the Department of Cardiology, Keio University School of Medicine, Tokyo, Japan (M.S., S.K., T.I.)
| | - Takeki Suzuki
- Department of Medicine, Indiana University School of Medicine, Indianapolis (T.S.)
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University, Tokyo, Japan (T.O.)
| | | | | | | | - Elsayed Z Soliman
- Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.)
| | - Mary Cushman
- Departments of Medicine and Pathology, University of Vermont Medical Center, Burlington (M.C.)
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Choi SE, Sima C, Pandya A. Impact of Treating Oral Disease on Preventing Vascular Diseases: A Model-Based Cost-effectiveness Analysis of Periodontal Treatment Among Patients With Type 2 Diabetes. Diabetes Care 2020; 43:563-571. [PMID: 31882408 DOI: 10.2337/dc19-1201] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 11/27/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Previous randomized trials found that treating periodontitis improved glycemic control in patients with type 2 diabetes (T2D), thus lowering the risks of developing T2D-related microvascular diseases and cardiovascular disease (CVD). Some payers in the U.S. have started covering nonsurgical periodontal treatment for those with chronic conditions, such as diabetes. We sought to identify the cost-effectiveness of expanding periodontal treatment coverage among patients with T2D. RESEARCH DESIGN AND METHODS A cost-effectiveness analysis was conducted to estimate lifetime costs and health gains using a stochastic microsimulation model of oral health conditions, T2D, T2D-related microvascular diseases, and CVD of the U.S. POPULATION Model parameters were obtained from the nationally representative National Health and Nutrition Examination Survey (NHANES) (2009-2014) and randomized trials of periodontal treatment among patients with T2D. RESULTS Expanding periodontal treatment coverage among patients with T2D and periodontitis would be expected to avert tooth loss by 34.1% (95% CI -39.9, -26.5) and microvascular diseases by 20.5% (95% CI -31.2, -9.1), 17.7% (95% CI -32.7, -4.7), and 18.4% (95% CI -34.5, -3.5) for nephropathy, neuropathy, and retinopathy, respectively. Providing periodontal treatment to the target population would be cost saving from a health care perspective at a total net savings of $5,904 (95% CI -6,039, -5,769) with an estimated gain of 0.6 quality-adjusted life years per capita (95% CI 0.5, 0.6). CONCLUSIONS Providing nonsurgical periodontal treatment to patients with T2D and periodontitis would be expected to significantly reduce tooth loss and T2D-related microvascular diseases via improved glycemic control. Encouraging patients with T2D and poor oral health conditions to receive periodontal treatment would improve health outcomes and still be cost saving or cost-effective.
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Affiliation(s)
- Sung Eun Choi
- Department of Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, Boston, MA
| | - Corneliu Sima
- Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, MA
| | - Ankur Pandya
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA
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Kim JY, Lee KJ, Kang J, Kim BJ, Han MK, Kim SE, Lee H, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Park MS, Park SS, Lee KB, Park HK, Cho YJ, Hong KS, Choi KH, Kim JT, Kim DE, Ryu WS, Choi JC, Oh MS, Yu KH, Lee BC, Park KY, Lee JS, Jang S, Chae JE, Lee J, Bae HJ, on behalf of the CRCS-K investigators. Development of stroke identification algorithm for claims data using the multicenter stroke registry database. PLoS One 2020; 15:e0228997. [PMID: 32059039 PMCID: PMC7021298 DOI: 10.1371/journal.pone.0228997] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Accepted: 01/27/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Identifying acute ischemic stroke (AIS) among potential stroke cases is crucial for stroke research based on claims data. However, the accuracy of using the diagnostic codes of the International Classification of Diseases 10th revision was less than expected. METHODS From the National Health Insurance Service (NHIS) claims data, stroke cases admitted to the hospitals participating in the multicenter stroke registry (Clinical Research Collaboration for Stroke in Korea, CRCS-K) during the study period with principal or additional diagnosis codes of I60-I64 on the 10th revision of International Classification of Diseases were extracted. The datasets were randomly divided into development and validation sets with a ratio of 7:3. A stroke identification algorithm using the claims data was developed and validated through the linkage between the extracted datasets and the registry database. RESULTS Altogether, 40,443 potential cases were extracted from the NHIS claims data, of which 31.7% were certified as AIS through linkage with the CRCS-K database. We selected 17 key identifiers from the claims data and developed 37 conditions through combinations of those key identifiers. The key identifiers comprised brain CT, MRI, use of tissue plasminogen activator, endovascular treatment, carotid endarterectomy or stenting, antithrombotics, anticoagulants, etc. The sensitivity, specificity, and diagnostic accuracy of the algorithm were 81.2%, 82.9%, and 82.4% in the development set, and 80.2%, 82.0%, and 81.4% in the validation set, respectively. CONCLUSIONS Our stroke identification algorithm may be useful to grasp stroke burden in Korea. However, further efforts to refine the algorithm are necessary.
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Affiliation(s)
- Jun Yup Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Jihoon Kang
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Moon-Ku Han
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Seong-Eun Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Heeyoung Lee
- Department of Clinical Preventive Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Jong-Moo Park
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, Republic of Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University, Seoul, Republic of Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Eulji University College of Medicine, Daejeon, Republic of Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University Hospital, Eulji University College of Medicine, Daejeon, Republic of Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Moo-Seok Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Chonnam National University College of Medicine, Gwangju, Republic of Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University College of Medicine, Gwangju, Republic of Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University School of Medicine, Jeju, Republic of Korea
| | - Mi-Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Republic of Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea
| | - Sujung Jang
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jae Eun Chae
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
- * E-mail:
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Madsen TE, Khoury JC, Leppert M, Alwell K, Moomaw CJ, Sucharew H, Woo D, Ferioli S, Martini S, Adeoye O, Khatri P, Flaherty M, De Los Rios La Rosa F, Mackey J, Mistry E, Demel SL, Coleman E, Jasne A, Slavin SJ, Walsh K, Star M, Broderick JP, Kissela BM, Kleindorfer DO. Temporal Trends in Stroke Incidence Over Time by Sex and Age in the GCNKSS. Stroke 2020; 51:1070-1076. [PMID: 32078459 DOI: 10.1161/strokeaha.120.028910] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Background and Purpose- Sex differences in stroke incidence over time were previously reported from the GCNKSS (Greater Cincinnati/Northern Kentucky Stroke Study). We aimed to determine whether these differences continued through 2015 and whether they were driven by particular age groups. Methods- Within the GCNKSS population of 1.3 million, incident (first ever) strokes among residents ≥20 years of age were ascertained at all local hospitals during 5 periods: July 1993 to June 1994 and calendar years 1999, 2005, 2010, and 2015. Out-of-hospital cases were sampled. Sex-specific incidence rates per 100 000 were adjusted for age and race and standardized to the 2010 US Census. Trends over time by sex were compared (overall and age stratified). Sex-specific case fatality rates were also reported. Bonferroni corrections were applied for multiple comparisons. Results- Over the 5 study periods, there were 9733 incident strokes (56.3% women). For women, there were 229 (95% CI, 215-242) per 100 000 incident strokes in 1993/1994 and 174 (95% CI, 163-185) in 2015 (P<0.05), compared with 282 (95% CI, 263-301) in 1993/1994 to 211 (95% CI, 198-225) in 2015 (P<0.05) in men. Incidence rates decreased between the first and last study periods in both sexes for IS but not for intracerebral hemorrhage or subarachnoid hemorrhage. Significant decreases in stroke incidence occurred between the first and last study periods for both sexes in the 65- to 84-year age group and men only in the ≥85-year age group; stroke incidence increased for men only in the 20- to 44-year age group. Conclusions- Overall stroke incidence decreased from the early 1990s to 2015 for both sexes. Future studies should continue close surveillance of sex differences in the 20- to 44-year and ≥85-year age groups, and future stroke prevention strategies should target strokes in the young- and middle-age groups, as well as intracerebral hemorrhage.
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Affiliation(s)
- Tracy E Madsen
- From the Department of Emergency Medicine, Alpert Medical School of Brown University, Providence, RI (T.E.M.)
| | - Jane C Khoury
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, OH (J.C.K., H.S.)
| | - Michelle Leppert
- Department of Neurology, University of Colorado School of Medicine, Aurora (M.L.)
| | - Kathleen Alwell
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Charles J Moomaw
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Heidi Sucharew
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, OH (J.C.K., H.S.)
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
| | - Simona Ferioli
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
| | - Sharyl Martini
- Department of Neurology, Baylor College of Medicine, Houston, TX (S.M.).,Veterans Affairs National Telestroke Program (S.M.)
| | - Opeolu Adeoye
- Department of Emergency Medicine (O.A.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
| | - Pooja Khatri
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
| | - Matthew Flaherty
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
| | | | - Jason Mackey
- Department of Neurology, Indiana University School of Medicine, Indianapolis (J.M.)
| | - Eva Mistry
- Department of Neurology, Vanderbilt University, Nashville, TN (E.M.)
| | - Stacie L Demel
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
| | - Elisheva Coleman
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Adam Jasne
- Department of Neurology, Yale School of Medicine, New Haven, CT (A.J.)
| | - Sabreena J Slavin
- Department of Neurology, University of Kansas Medical Center, MO (S.J.S.)
| | - Kyle Walsh
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Michael Star
- Department of Neurology, Soroka Medical Center, Beersheva, Israel (M.S.)
| | - Joseph P Broderick
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
| | - Brett M Kissela
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
| | - Dawn O Kleindorfer
- Department of Neurology and Rehabilitation Medicine (K.A., C.J.M., D.W., S.F., P.K., M.F., S.L.D., E.C., K.W., J.P.B., B.M.K., D.O.K.), University of Cincinnati College of Medicine, OH.,UC Gardner Neuroscience Institute (D.W., S.F., O.A., P.K., M.F., S.L.D., J.P.B., B.M.K., D.O.K.)
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Benefits of bariatric surgery in patients with acute ischemic stroke—a national population-based study. Surg Obes Relat Dis 2019; 15:1934-1942. [DOI: 10.1016/j.soard.2019.08.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 08/17/2019] [Indexed: 12/19/2022]
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Koton S, Wruck L, Quibrera PM, Gottesman RF, Agarwal SK, Jones SA, Wright JD, Shahar E, Coresh J, Rosamond WD. Temporal trends in validated ischaemic stroke hospitalizations in the USA. Int J Epidemiol 2019; 48:994-1003. [PMID: 30879069 DOI: 10.1093/ije/dyz025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Accurate assessment of the burden of stroke, a major cause of disability and death, is crucial. We aimed to estimate rates of validated ischaemic stroke hospitalizations in the USA during 1998-2011. METHODS We used the Atherosclerosis Risk in Communities (ARIC) study cohort's adjudicated stroke data for participants aged ≥55 years, to construct validation models for each International Classification of Diseases (ICD)-code group and patient covariates. These models were applied to the Nationwide Inpatient Sample (NIS) data to estimate the probability of validated ischaemic stroke for each eligible hospitalization. Rates and trends in NIS using ICD codes vs estimates of validated ischaemic stroke were compared. RESULTS After applying validation models, the estimated annual average rate of validated ischaemic stroke hospitalizations in the USA during 1998-2011 was 3.37 [95% confidence interval (CI): 3.31, 3.43) per 1000 person-years. Validated rates declined during 1998-2011 from 4.7/1000 to 2.9/1000; however, the decline was limited to 1998-2007, with no further decline subsequently through 2011. Validation models showed that the false-positive (∼23% of strokes) and false-negative rates of ICD-9-CM codes in primary position for ischaemic stroke approximately cancel. Therefore, estimates of ischaemic stroke hospitalizations did not substantially change after applying validation models. CONCLUSIONS Overall, ischaemic stroke hospitalization rates in the USA have declined during 1998-2007, but no further decline was observed from 2007 to 2011. Validated ischaemic stroke hospitalizations estimates were similar to published estimates of hospitalizations with ischaemic stroke ICD codes in primary position. Validation of national discharge data using prospective chart review data is important to estimate the accuracy of reported burden of stroke.
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Affiliation(s)
- Silvia Koton
- Stanley Steyer School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lisa Wruck
- Duke Clinical Research Institute, Duke University, Durham, NC, USA
| | - Pedro Miguel Quibrera
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca F Gottesman
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sunil K Agarwal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sydney A Jones
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Eyal Shahar
- Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wayne D Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Abstract
PURPOSE Ischemic stroke significantly contributes to morbidity and mortality in heart failure (HF). The risk of stroke increases significantly, with coexisting atrial fibrillation (AF). An aggravating factor could be asymptomatic paroxysms of AF (so-called silent AF), and therefore, the risk stratification in these patients remains difficult. This review provides an overview of stroke risk in HF, its risk stratification, and stroke prevention in these patients. RECENT FINDINGS Stroke risk stratification in HF patients remains an important issue. Recently, the CHA2DS2-VASc score, originally developed to predict stroke risk in AF patients, had been reported to be a predictive for strokes in HF patients regardless of AF being present. Furthermore, there are several independent risk factors (e.g., hypertension, diabetes mellitus, prior stroke) described. Based on the current evidence, HF should be considered as an independent risk factor for stroke. The CHA2DS2-VASc score might be useful to predict stroke risk in HF patients with or without AF in clinical routine. However, there is only a recommendation for the oral anticoagulation use in patients with concomitant HF and AF, while in patients with HF and no AF, individualized risk stratification is preferred. Current guidelines recommend to prefer non-vitamin Kantagonist anticoagulants over warfarin.
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Affiliation(s)
- Katja Schumacher
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.,Heart Center, Department of Electrophysiology, University of Leipzig, Leipzig, Germany
| | - Jelena Kornej
- Heart Center, Department of Electrophysiology, University of Leipzig, Leipzig, Germany.,Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany
| | - Eduard Shantsila
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Gregory Y H Lip
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.
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40
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Murray CSG, Nahar T, Kalashyan H, Becher H, Nanda NC. Ultrasound assessment of carotid arteries: Current concepts, methodologies, diagnostic criteria, and technological advancements. Echocardiography 2019; 35:2079-2091. [PMID: 30506607 DOI: 10.1111/echo.14197] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 10/31/2018] [Accepted: 10/31/2018] [Indexed: 01/06/2023] Open
Abstract
Following cardiac disease and cancer, stroke continues to be the third leading cause of death and disability due to chronic disease in the developed world. Appropriate screening tools are integral to early detection and prevention of major cardiovascular events. In a carotid artery, the presence of increased intima-media thickness, plaque, or stenosis is associated with increased risk of a transient ischemic attack or a stroke. Carotid artery ultrasound remains a long-standing and reliable tool in the current armamentarium of diagnostic modalities used to assess vascular morbidity at an early stage. The procedure has, over the last two decades, undergone considerable upgrades in technology, approach, and utility. This review examines in detail the current state and usage of this integrally important means of extracranial cerebrovascular assessment.
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Affiliation(s)
- Christopher S G Murray
- Department of Internal Medicine, Harlem Hospital Center/Columbia University, New York, New York
| | - Tamanna Nahar
- Section of Cardiology, Department of Internal Medicine, Harlem Hospital Center/Columbia University, New York, New York
| | - Hayrapet Kalashyan
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Harald Becher
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Navin C Nanda
- Department of Internal Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, Alabama
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41
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Jasne AS, Sucharew H, Alwell K, Moomaw CJ, Flaherty ML, Adeoye O, Woo D, Mackey J, Ferioli S, Martini S, de Los Rios la Rosa F, Kissela BM, Kleindorfer D. Stroke Center Certification Is Associated With Improved Guideline Concordance. Am J Med Qual 2019; 34:585-589. [PMID: 30868922 DOI: 10.1177/1062860619835317] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Measurement of quality of stroke care has become increasingly important, but data come mostly from programs in hospitals that choose to participate in certification programs, which may not be representative of the care provided in nonparticipating hospitals. The authors sought to determine differences in quality of care metric concordance for acute ischemic stroke among hospitals designated as a primary stroke center, comprehensive stroke center, and non-stroke center in a population-based epidemiologic study. Significant differences were found in both patient demographics and in concordance with guideline-based quality metrics. These differences may help inform quality improvement efforts across hospitals involved in certification as well as those that are not.
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Affiliation(s)
| | - Heidi Sucharew
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | | | | | | | | | - Daniel Woo
- University of Cincinnati, Cincinnati, OH
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Evzelman MA, Mityaeva EV, Lashkhiia IB, Kamchatnov PR. Acute cerebral ischemia and inflammation. Zh Nevrol Psikhiatr Im S S Korsakova 2019; 119:73-80. [DOI: 10.17116/jnevro201911912273] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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43
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Nguyen-Huynh MN, Young JD, Alexeeff S, Hatfield MK, Sidney S. Shake Rattle & Roll - Design and rationale for a pragmatic trial to improve blood pressure control among blacks with persistent hypertension. Contemp Clin Trials 2019; 76:85-92. [PMID: 30500558 DOI: 10.1016/j.cct.2018.11.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 11/21/2018] [Accepted: 11/26/2018] [Indexed: 01/13/2023]
Abstract
BACKGROUND In Kaiser Permanente Northern California (KPNC), members had similar access to care and a very high overall rate of hypertension control. However, blacks had poorer blood pressure (BP) control than whites. The Shake Rattle & Roll (SRR) trial aimed to improve BP control rates in blacks and to reduce disparities in hypertension control. METHODS SRR was a cluster randomized controlled trial conducted at an urban medical center. All 98 adult primary care physicians (PCP) and their panels of hypertensive black patients were randomized, stratified by panel size, to one of three arms: 1) Usual Care (n = 33 PCPs, N = 1129 patients); 2) Enhanced Monitoring arm with an emphasis on improving pharmacotherapy protocol adherence (n = 34 PCPs, N = 349 patients); or 3) Lifestyle arm with a culturally tailored diet and lifestyle coaching intervention focusing on the Dietary Approaches to Stop Hypertension eating plan (n = 31 PCPs, N = 286 patients). The intervention period was for 12-months post-enrollment. Follow-up was planned for one and three years post-intervention completion. Primary outcome measure was the proportion of participants with controlled BP, defined as <140/90 mmHg, at 12-months post-enrollment. Secondary outcome included adverse cardiovascular events. An intention-to-treat analysis was carried out as the primary analysis. CONCLUSION SRR was a uniquely designed trial that included components from both pragmatic and explanatory methods. The pragmatic aspects allow for a more cost-effective way to conduct a clinical trial and easier implementation of successful interventions into clinical practice. However, there were also challenges of having mixed methodology with regards to trial conduction and analysis.
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Affiliation(s)
- Mai N Nguyen-Huynh
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA; Department of Neurology, Kaiser Permanente Walnut Creek Medical Center, Walnut Creek, CA, USA.
| | - Joseph D Young
- Department of Medicine, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA
| | - Stacey Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Meghan K Hatfield
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
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44
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Behera A, Adjei Boakye E, Trivedi J, Armbrecht E, Alshekhlee A, Edgell R. Real-World Impact of Retrievable Stents for Acute Ischemic Stroke on Disability Utilizing the National Inpatient Sample. INTERVENTIONAL NEUROLOGY 2018; 8:60-68. [PMID: 32231696 DOI: 10.1159/000495160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Purpose We assess the impact of retrievable stent (RS) compared to first-generation devices on in-hospital mortality and disability in patients with acute ischemic stroke (AIS). Methods Using the National Inpatient Sample, data were obtained for patients with a primary diagnosis of AIS who underwent mechanical thrombectomy (MT) and were admitted to US hospitals between 2010 and 2014. Two time periods were compared: 2010-2012 (pre-RS Food and Drug Administration [FDA] approval) and 2013-2014 (post-RS FDA approval). Disability level was used to classify outcomes as minimal disability, moderate to severe disability, or in-hospital mortality. Weighted, multivariable logistic regression was used to assess the association between MT device type and disability. Results A total of 2,443,713 weighted patients admitted with AIS were identified; 148,923 (4.9%) of these received intravenous tissue plasminogen activator; and 23,719 (0.8%) underwent MT. In multivariable logistic regression analysis, the odds of in-hospital mortality decreased (OR 0.69, 95% CI 0.59-0.82) in the post-RS time-period compared with pre-RS time. The odds of moderate-to-severe disability decreased (OR 0.88, 95% CI 0.73-1.06) compared with minimal disability. In-hospital mortality rates decreased successively over the 4 years in the MT-treated patients (p < 0.001). Conclusions The FDA approval of RS technology after 2012 was associated with decreased in-hospital mortality when compared with the 3-year interval prior. These findings provide an indication that the RCT data on the efficacy of RS technology are translating into improved real-world outcomes.
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Affiliation(s)
- Anit Behera
- St. Louis University Center for Health Outcomes Research, St. Louis, Missouri, USA.,St. Louis University School of Medicine, St. Louis, Missouri, USA
| | - Eric Adjei Boakye
- Southern Illinois University School of Medicine, Department of Population Science and Policy, Springfield, Illinois, USA.,Southern Illinois University School of Medicine, Department of Internal Medicine, Springfield, Illinois, USA
| | - Jahnavi Trivedi
- St. Louis University School of Medicine, St. Louis, Missouri, USA
| | - Eric Armbrecht
- St. Louis University Center for Health Outcomes Research, St. Louis, Missouri, USA
| | | | - Randall Edgell
- St. Louis University School of Medicine, Department of Neurology, St. Louis, Missouri, USA
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45
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Williams CN, Piantino J, McEvoy C, Fino N, Eriksson CO. The Burden of Pediatric Neurocritical Care in the United States. Pediatr Neurol 2018; 89:31-38. [PMID: 30327237 PMCID: PMC6349248 DOI: 10.1016/j.pediatrneurol.2018.07.013] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/23/2018] [Accepted: 07/31/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Disorders requiring pediatric neurocritical care (PNCC) affect thousands of children annually. We aimed to quantify the burden of PNCC through generation of national estimates of disease incidence, utilization of critical care interventions (CCI), and hospital outcomes. METHODS We performed a retrospective cohort analysis of the Kids Inpatient Database over three years to evaluate pediatric traumatic brain injury, neuro-infection or inflammatory diseases, status epilepticus, stroke, hypoxic ischemic injury after cardiac arrest, and spinal cord injury. We evaluated use of CCI, death, length of stay, hospital charges, and poor functional outcome defined as receipt of tracheostomy or gastrostomy or discharge to a medical care facility. RESULTS At least one CCI was recorded in 67,058 (23%) children with a primary neurological diagnosis, and considered a PNCC admission. Over half of PNCC admissions had at least one chronic condition, and 23% were treated in children's hospitals. Mechanical ventilation was the most common CCI, but utilization of CCIs varied significantly by diagnosis. Among PNCC admissions, 8110 (12%) children died during hospitalization and 14,067 (21%) children had poor functional outcomes. PNCC admissions cumulatively accounted for over 1.5 million hospital days and over $4 billion in hospital costs in the study years. Most PNCC admissions, across all diagnoses, had prolonged hospitalizations (more than one week) with an average cost of $39.9 thousand per admission. CONCLUSIONS This large, nationally representative study shows PNCC diseases are a significant public health burden with substantial risk to children's health. More research is needed to improve outcomes in these vulnerable children.
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Affiliation(s)
- Cydni N. Williams
- Oregon Health and Science University, Department of Pediatrics, Division of Pediatric Critical Care
| | - Juan Piantino
- Division of Pediatric Neurology, Oregon Health and Science University
| | - Cynthia McEvoy
- Division of Neonatology, Oregon Health and Science University
| | - Nora Fino
- Biostatistics and Design Program, Oregon Health and Science University
| | - Carl O. Eriksson
- Oregon Health and Science University, Department of Pediatrics, Division of Pediatric Critical Care
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46
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The development of the cortisol response to dyadic stressors in Black and White infants. Dev Psychopathol 2018; 30:1995-2008. [PMID: 30328402 DOI: 10.1017/s0954579418001232] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Acute reactivity of the stress hormone cortisol is reflective of early adversity and stress exposure, with some studies finding that the impact of adversity on the stress response differs by race. The objectives of the current study were to characterize cortisol reactivity to two dyadically based stress paradigms across the first year of life, to examine cortisol reactivity within Black and White infants, and to assess the impact of correlates of racial inequity including socioeconomic status, experiences of discrimination, and urban life stressors, as well as the buffering by racial socialization on cortisol patterns. Salivary cortisol reactivity was assessed at 4 months of age during the Still Face paradigm (N = 207) and at 12 months of age across the Strange Situation procedure (N = 129). Infants demonstrated the steepest recovery after the Still Face paradigm and steepest reactivity to the Strange Situation procedure. Race differences in cortisol were not present at 4 months but emerged at 12 months of age, with Black infants having higher cortisol. Experiences of discrimination contributed to cortisol differences within Black infants, suggesting that racial discrimination is already "under the skin" by 1 year of age. These findings suggest that race-related differences in hypothalamic-pituitary-adrenal reactivity are present in infancy, and that the first year of life is a crucial time period during which interventions and prevention efforts for maternal-infant dyads are most likely able to shape hypothalamic-pituitary-adrenal reactivity thereby mitigating health disparities early across the life course.
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47
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Nenert R, Allendorfer JB, Martin AM, Banks C, Vannest J, Holland SK, Hart KW, Lindsell CJ, Szaflarski JP. Longitudinal fMRI study of language recovery after a left hemispheric ischemic stroke. Restor Neurol Neurosci 2018; 36:359-385. [PMID: 29782329 DOI: 10.3233/rnn-170767] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Recovery from stroke-induced aphasia is typically protracted and involves complex functional reorganization. The relative contributions of the lesioned and non-lesioned hemispheres to this process have been examined in several cross-sectional studies but longitudinal studies involving several time-points and large numbers of subjects are scarce. OBJECTIVE The aim of this study was to address the gaps in the literature by longitudinally studying the evolution of post-stroke lateralization and localization of language-related fMRI activation in the first year after single left hemispheric ischemic stroke. METHOD Seventeen patients with stroke-induced aphasia were enrolled to undergo detailed behavioral testing and fMRI at 2, 6, 12, 26, and 52 weeks post-stroke. Matched for age, handedness and sex participants were also enrolled to visualize canonical language regions. RESULTS Behavioral results showed improvements over time for all but one of the behavioral scores (Semantic Fluency Test). FMRI results showed that the left temporal area participates in compensation for language deficits in the first year after stroke, that there is a correlation between behavioral improvement and the left cerebellar activation over time, and that there is a shift towards stronger frontal left-lateralization of the fMRI activation over the first year post-stroke. Temporary compensation observed in the initial phases of post-stroke recovery that involves the non-lesioned hemisphere may not be as important as previously postulated, since in this study the recovery was driven by activations in the left fronto-temporal regions. CONCLUSION Language recovery after left hemispheric ischemic stroke is likely driven by the previously involved in language and attention left hemispheric networks.
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Affiliation(s)
- Rodolphe Nenert
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jane B Allendorfer
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Amber M Martin
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Christi Banks
- Department of Neurology, University of Cincinnati Academic Health Center, Cincinnati, OH, USA
| | - Jennifer Vannest
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Scott K Holland
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Kimberly W Hart
- Department of Emergency Medicine, University of Cincinnati Academic Health Center, Cincinnati, OH, USA
| | - Christopher J Lindsell
- Department of Emergency Medicine, University of Cincinnati Academic Health Center, Cincinnati, OH, USA.,currently at Department of Biostatistics, Vanderbilt University, Department of Biostatistics, Nashville, TN, USA
| | - Jerzy P Szaflarski
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Neurology, University of Cincinnati Academic Health Center, Cincinnati, OH, USA
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48
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Norman SL, McFarland DJ, Miner A, Cramer SC, Wolbrecht ET, Wolpaw JR, Reinkensmeyer DJ. Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke. J Neural Eng 2018; 15:056026. [PMID: 30063219 PMCID: PMC6158016 DOI: 10.1088/1741-2552/aad724] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Brain-computer interface (BCI) technology is attracting increasing interest as a tool for enhancing recovery of motor function after stroke, yet the optimal way to apply this technology is unknown. Here, we studied the immediate and therapeutic effects of BCI-based training to control pre-movement sensorimotor rhythm (SMR) amplitude on robot-assisted finger extension in people with stroke. APPROACH Eight people with moderate to severe hand impairment due to chronic stroke completed a four-week three-phase protocol during which they practiced finger extension with assistance from the FINGER robotic exoskeleton. In Phase 1, we identified spatiospectral SMR features for each person that correlated with the intent to extend the index and/or middle finger(s). In Phase 2, the participants learned to increase or decrease SMR features given visual feedback, without movement. In Phase 3, the participants were cued to increase or decrease their SMR features, and when successful, were then cued to immediately attempt to extend the finger(s) with robot assistance. MAIN RESULTS Of the four participants that achieved SMR control in Phase 2, three initiated finger extensions with a reduced reaction time after decreasing (versus increasing) pre-movement SMR amplitude during Phase 3. Two also extended at least one of their fingers more forcefully after decreasing pre-movement SMR amplitude. Hand function, measured by the box and block test (BBT), improved by 7.3 ± 7.5 blocks versus 3.5 ± 3.1 blocks in those with and without SMR control, respectively. Higher BBT scores at baseline correlated with a larger change in BBT score. SIGNIFICANCE These results suggest that learning to control person-specific pre-movement SMR features associated with finger extension can improve finger extension ability after stroke for some individuals. These results merit further investigation in a rehabilitation context.
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Affiliation(s)
- S L Norman
- University of California Irvine, Irvine, CA, United States of America
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49
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English SW, McIntyre L, Saigle V, Chassé M, Fergusson DA, Turgeon AF, Lauzier F, Griesdale D, Garland A, Zarychanski R, Algird A, van Walraven C. The Ottawa SAH search algorithms: protocol for a multi- centre validation study of primary subarachnoid hemorrhage prediction models using health administrative data (the SAHepi prediction study protocol). BMC Med Res Methodol 2018; 18:94. [PMID: 30219029 PMCID: PMC6139177 DOI: 10.1186/s12874-018-0553-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Accepted: 08/31/2018] [Indexed: 01/07/2023] Open
Abstract
Background Conducting prospective epidemiological studies of hospitalized patients with rare diseases like primary subarachnoid hemorrhage (pSAH) are difficult due to time and budgetary constraints. Routinely collected administrative data could remove these barriers. We derived and validated 3 algorithms to identify hospitalized patients with a high probability of pSAH using administrative data. We aim to externally validate their performance in four hospitals across Canada. Methods Eligible patients include those ≥18 years of age admitted to these centres from January 1, 2012 to December 31, 2013. We will include patients whose discharge abstracts contain predictive variables identified in the models (ICD-10-CA diagnostic codes I60** (subarachnoid hemorrhage), I61** (intracranial hemorrhage), 162** (other nontrauma intracranial hemorrhage), I67** (other cerebrovascular disease), S06** (intracranial injury), G97 (other postprocedural nervous system disorder) and CCI procedural codes 1JW51 (occlusion of intracranial vessels), 1JE51 (carotid artery inclusion), 3JW10 (intracranial vessel imaging), 3FY20 (CT scan (soft tissue of neck)), and 3OT20 (CT scan (abdominal cavity)). The algorithms will be applied to each patient and the diagnosis confirmed via chart review. We will assess each model’s sensitivity, specificity, negative and positive predictive value across the sites. Discussion Validating the Ottawa SAH Prediction Algorithms will provide a way to accurately identify large SAH cohorts, thereby furthering research and altering care.
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Affiliation(s)
- S W English
- Department of Medicine (Critical Care), University of Ottawa, Ottawa, ON, K1Y 4E9, Canada. .,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
| | - L McIntyre
- Department of Medicine (Critical Care), University of Ottawa, Ottawa, ON, K1Y 4E9, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - V Saigle
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - M Chassé
- Department of Medicine, Division of Critical Care, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada
| | - D A Fergusson
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - A F Turgeon
- Centre de recherche du CHU de Québec, Population Health and Optimal Health Practices Research Unit (Trauma - Emergency - Critical Care Medicine), Université Laval, Québec City, QC, Canada.,Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, QC, Canada
| | - F Lauzier
- Centre de recherche du CHU de Québec, Population Health and Optimal Health Practices Research Unit (Trauma - Emergency - Critical Care Medicine), Université Laval, Québec City, QC, Canada.,Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, QC, Canada.,Centre de recherche du Centre Hospitalier de l'Université de Québec, Université Laval, Québec City, QC, Canada
| | - D Griesdale
- Deparment of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, Canada
| | - A Garland
- Department of Internal Medicine, Sections of Critical Care and Respirology, University of Manitoba, Winnipeg, MB, Canada
| | - R Zarychanski
- Department of Internal Medicine, Sections of Critical Care and Hematology/Medical Oncology, University of Manitoba, Winnipeg, MB, Canada
| | - A Algird
- Department of Neurosurgy, McMaster University, Hamilton Health Sciences, Hamilton, ON, Canada
| | - C van Walraven
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Department of Medicine, University of Ottawa, Ottawa, Canada
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50
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MADSEN TE, KHOURY JC, ALWELL KA, MOOMAW CJ, DEMEL SL, FLAHERTY ML, WOO D, MACKEY J, DE LOS RIOS LA ROSA F, MARTINI S, FERIOLI S, ADEOYE O, KHATRI P, KISSELA BM, KLEINDORFER D. Sex differences in cardiovascular risk profiles of ischemic stroke patients with diabetes in the Greater Cincinnati/Northern Kentucky Stroke Study. J Diabetes 2018; 10:496-501. [PMID: 28523847 PMCID: PMC5694383 DOI: 10.1111/1753-0407.12567] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 05/01/2017] [Accepted: 05/15/2017] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND The aim of the present study was to compare sex-specific associations between cardiovascular risk factors and diabetes mellitus (DM) among patients with acute ischemic stroke (AIS) in the Greater Cincinnati/Northern Kentucky Stroke Study (GCNKSS). METHODS The GCNKSS ascertained AIS cases in 2005 and 2010 among adult (age ≥ 20 years) residents of a biracial population of 1.3 million. Past and current stroke risk factors were compared between those with and without DM using Chi-squared tests and multiple logistic regression analysis to examine sex-specific profiles. RESULTS There were 3515 patients with incident AIS; 1919 (55%) were female, 697 (20%) were Black, and 1146 (33%) had DM. Among both women and men with DM, significantly more were obese and had hypertension, high cholesterol, and coronary artery disease (CAD) compared with those without DM. For women with AIS, multivariable sex-specific adjusted analyses revealed that older age was associated with decreased odds of having DM (adjusted odds ratio [aOR] 0.88, 95% confidence interval [CI] 0.80-0.98). For women with CAD, the odds of DM were increased (aOR 1.76, 95% CI 1.33-2.32). Age and CAD were not significant factors in differentiating the profiles of men with and without DM. CONCLUSIONS Women with DM had strokes at a younger age, whereas no such age difference existed in men. Compared with men, women with DM were also more likely to have CAD than those without DM, suggesting a sex difference in the association between DM and vascular disease. These findings may suggest a need for more aggressive risk factor management in diabetic women.
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Affiliation(s)
- Tracy E. MADSEN
- Division of Sex and Gender in Emergency Medicine, Department of Emergency Medicine, The Alpert Medical School of Brown University, Providence, RI
- Corresponding Author: 55 Claverick Street, 2 floor, 401-489-5275, 401-444-6662,
| | - Jane C. KHOURY
- Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | | | | | | | | | - Daniel WOO
- University of Cincinnati College of Medicine, Cincinnati, OH
| | | | - Felipe DE LOS RIOS LA ROSA
- University of Cincinnati College of Medicine, Cincinnati, OH
- Baptist Health Neuroscience Center, Miami, FL
| | | | - Simona FERIOLI
- University of Cincinnati College of Medicine, Cincinnati, OH
| | - Opeolu ADEOYE
- University of Cincinnati College of Medicine, Cincinnati, OH
| | - Pooja KHATRI
- University of Cincinnati College of Medicine, Cincinnati, OH
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