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Zil-E-Ali A, Alamarie B, Paracha AW, Samaan F, Aziz F. Systematic Review and Meta-Analysis to Assess the Racial Disparities in the Outcomes of Carotid Endarterectomy in the United States. J Vasc Surg 2024:S0741-5214(24)01213-8. [PMID: 38782214 DOI: 10.1016/j.jvs.2024.05.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 04/30/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVE Race-based disparities in healthcare have been related to a myriad of prevailing factors among minorities in the United States. This study aims to study the race-based differences in the outcomes of carotid endarterectomy (CEA). METHODS The PROSPERO database registered the review protocol (CRD42023428253). A systematic English literature review was performed using literature databases PubMed and Scopus from inception till June 2023. The review was designed on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines and included studies reporting mortality, stroke or composite outcome of mortality and stroke after CEA for carotid artery disease, regardless of any degree of stenosis including both symptomatic and asymptomatic patients. The risk of bias was evaluated utilizing the Risk of Bias in Non-randomized Studies - of Interventions (ROBINS-I) tool. A pooled odds ratio (OR) for the overall mortality was computed, and a p-value of <0.05 was designated as statistically significant. Interstudy heterogeneity was evaluated by Q-metric and quantified using Higgins I2 statistics. RESULTS Twelve studies were identified which included a total of 574,055 patients, who underwent CEA from 1998 to 2022. 11 out of 12 studies reported 30-day mortality as an outcome for patients undergoing CEA in which 52,4708 (92.5%) patients were white and 42797 (7.5%) were non-white. The overall pooled OR indicated a statistical significance in 30-day mortality between white and non-white patients undergoing CEA (OR: 1.73 [1.37-2.18], p=0.011) with substantial heterogeneity (I2 = 56.3%). 11 out of 12 studies reported stroke as an outcome for patients undergoing CEA in which 52,4708 (92.5%) patients were white and 42,801 (7.5%) were non-white. The overall pooled OR indicated no statistical significance in stroke between white and non-white patients undergoing CEA (OR:1.46 [1.28, 1.65], p = 0.111) with moderate heterogeneity (I2 = 35.9%). 5 out of 12 studies reported composite mortality or stroke as an outcome for patients undergoing CEA. The overall pooled OR indicated no statistical significance in composite mortality or stroke between white and non-white patients undergoing CEA (OR: 1.40 [1.24-1.59], p = 0.467) with no heterogeneity (I2 = 0.0%). CONCLUSION Non-White patients have a relatively higher risk of mortality; however no significant difference was observed between the racial groups in terms of stroke or a composite outcome of mortality or stroke. The odds of mortality in Non-White patients have been persistent throughout recent studies.
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Affiliation(s)
- Ahsan Zil-E-Ali
- Division of Vascular Surgery, Penn State Heart and Vascular Institute, Penn State Milton S. Hershey Medical Center.
| | - Billal Alamarie
- Office of Medical Education, Penn State College of Medicine, Penn State University
| | - Abdul Wasay Paracha
- Office of Medical Education, Penn State College of Medicine, Penn State University
| | - Fadi Samaan
- Office of Medical Education, Penn State College of Medicine, Penn State University
| | - Faisal Aziz
- Division of Vascular Surgery, Penn State Heart and Vascular Institute, Penn State Milton S. Hershey Medical Center
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Krauss MJ, Holden BM, Somerville E, Blenden G, Bollinger RM, Barker AR, McBride TD, Hollingsworth H, Yan Y, Stark SL. The Community Participation Transition after Stroke (COMPASS) randomized controlled trial: Impact on adverse health events. Arch Phys Med Rehabil 2024:S0003-9993(24)01004-9. [PMID: 38772517 DOI: 10.1016/j.apmr.2024.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 05/09/2024] [Accepted: 05/13/2024] [Indexed: 05/23/2024]
Abstract
OBJECTIVE To compare adverse health events in intervention versus control group participants in the Community Participation Transition after Stroke trial to reduce barriers to independent living for community-dwelling stroke survivors. DESIGN Randomized controlled trial. SETTING Inpatient rehabilitation (IR) to home and community transition. PARTICIPANTS Stroke survivors aged ≥50 years being discharged from IR who had been independent in activities of daily living pre-stroke (n=183). INTERVENTION Participants randomized to intervention (n=85) received home modifications and self-management training from an occupational therapist over 4 visits in the home. Participants randomized to control (n=98) received the same number of visits consisting of stroke education. MAIN OUTCOME MEASURES Death, skilled nursing facility (SNF) admission, 30-day rehospitalization, fall rates after discharge from IR. RESULTS Time-to-event analysis revealed that the intervention reduced SNF admission (cumulative survival 87.8%, 95% confidence interval [CI] 78.6% to 96.6%%) and death (cumulative survival 100%) compared to the control group (SNF cumulative survival 78.9%, 95% CI 70.4% to 87.4%; P=0.039; death cumulative survival 87.3%, 95% CI 79.9% to 94.7%, P=0.001). Thirty-day rehospitalization also appeared lower among intervention participants (cumulative survival 95.1%, 95% CI 90.5% to 99.8%) compared to control participants (cumulative survival 86.3%, 95% CI 79.4% to 93.2%, P=0.050) but was not statistically significant. Fall rates did not significantly differ between the intervention group (5.6 falls per 1000 participant-days, 95% CI 4.7 to 6.5) and the control group (7.2 falls per 1000 participant-days, 95% CI 6.2 to 8.3; incidence rate ratio [IRR] 0.78, 95% CI 0.46 to 1.33, P=0.361). CONCLUSIONS A home-based OT-led intervention that helps stroke survivors transition home by reducing barriers in the home and improving self-management could decrease the risk of mortality and SNF admission after discharge from rehabilitation.
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Affiliation(s)
- Melissa J Krauss
- Program in Occupational Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Brianna M Holden
- Program in Occupational Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Emily Somerville
- Program in Occupational Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Gabrielle Blenden
- Program in Occupational Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Rebecca M Bollinger
- Program in Occupational Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Abigail R Barker
- Center for Advancing Health Services, Economics, and Policy Research, Institute for Public Health at Washington University in St. Louis, St. Louis, Missouri
| | - Timothy D McBride
- Center for Advancing Health Services, Economics, and Policy Research, Institute for Public Health at Washington University in St. Louis, St. Louis, Missouri
| | - Holly Hollingsworth
- Program in Occupational Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Yan Yan
- Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Susan L Stark
- Program in Occupational Therapy, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
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Lin C, King PH, Richman JS, Davis LL. Association of Posttraumatic Stress Disorder and Race on Readmissions After Stroke. Stroke 2024; 55:983-989. [PMID: 38482715 PMCID: PMC10994194 DOI: 10.1161/strokeaha.123.044795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/03/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND There is limited research on outcomes of patients with posttraumatic stress disorder (PTSD) who also develop stroke, particularly regarding racial disparities. Our goal was to determine whether PTSD is associated with the risk of hospital readmission after stroke and whether racial disparities existed. METHODS The analytical sample consisted of all veterans receiving care in the Veterans Health Administration who were identified as having a new stroke requiring inpatient admission based on the International Classification of Diseases codes. PTSD and comorbidities were identified using the International Classification of Diseases codes and given the date of first occurrence. The retrospective cohort data were obtained from the Veterans Affairs Corporate Data Warehouse. The main outcome was any readmission to Veterans Health Administration with a stroke diagnosis. The hypothesis that PTSD is associated with readmission after stroke was tested using Cox regression adjusted for patient characteristics including age, sex, race, PTSD, smoking status, alcohol use, and comorbidities treated as time-varying covariates. RESULTS Our final cohort consisted of 93 651 patients with inpatient stroke diagnosis and no prior Veterans Health Administration codes for stroke starting from 1999 with follow-up through August 6, 2022. Of these patients, 12 916 (13.8%) had comorbid PTSD. Of the final cohort, 16 896 patients (18.0%) with stroke were readmitted. Our fully adjusted model for readmission found an interaction between African American veterans and PTSD with a hazard ratio of 1.09 ([95% CI, 1.00-1.20] P=0.047). In stratified models, PTSD has a significant hazard ratio of 1.10 ([95% CI, 1.02-1.18] P=0.01) for African American but not White veterans (1.05 [95% CI, 0.99-1.11]; P=0.10). CONCLUSIONS Among African American veterans who experienced stroke, preexisting PTSD was associated with increased risk of readmission, which was not significant among White veterans. This study highlights the need to focus on high-risk groups to reduce readmissions after stroke.
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Affiliation(s)
- Chen Lin
- Departments of Neurology (C.L., P.H.K.), University of Alabama at Birmingham
- Birmingham VA Medical Center, AL (C.L., P.H.K., J.S.R.)
| | - Peter H King
- Departments of Neurology (C.L., P.H.K.), University of Alabama at Birmingham
- Birmingham VA Medical Center, AL (C.L., P.H.K., J.S.R.)
| | - Joshua S Richman
- Surgery (J.S.R.), University of Alabama at Birmingham
- Birmingham VA Medical Center, AL (C.L., P.H.K., J.S.R.)
| | - Lori L Davis
- Psychiatry (L.L.D.), University of Alabama at Birmingham
- Tuscaloosa VA Medical Center, AL (L.L.D.)
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Sloane KL, Gottesman RF, Johansen MC, Jones Berkeley S, Coresh J, Kucharska-Newton A, Rosamond WD, Schneider ALC, Koton S. Stroke Subtype and Risk of Subsequent Hospitalization: The Atherosclerosis Risk in Communities Study. Neurology 2024; 102:e208035. [PMID: 38181329 PMCID: PMC11023038 DOI: 10.1212/wnl.0000000000208035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/13/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Risk of readmission after stroke differs by stroke (sub)type and etiology, with higher risks reported for hemorrhagic stroke and cardioembolic stroke. We examined the risk and cause of first readmission by stroke subtype over the years post incident stroke. METHODS Atherosclerosis Risk in Communities (ARIC) study participants (n = 1,412) with first-ever stroke were followed up for all-cause readmission after incident stroke. Risk of first readmission was examined by stroke subtypes (cardioembolic, thrombotic/lacunar, and hemorrhagic [intracerebral and subarachnoid]) using Cox and Fine-Gray proportional hazards models, adjusting for sociodemographic and cardiometabolic risk factors. RESULTS Among 1,412 participants (mean [SD] age 72.4 [9.3] years, 52.1% women, 35.3% Black), 1,143 hospitalizations occurred over 41,849 person-months. Overall, 81% of participants were hospitalized over a maximum of 26.6 years of follow-up (83% of participants with thrombotic/lacunar stroke, 77% of participants with cardioembolic stroke, and 78% of participants with hemorrhagic stroke). Primary cardiovascular and cerebrovascular diagnoses were reported for half of readmissions. Over the entire follow-up period, compared with cardioembolic stroke, readmission risk was lower for thrombotic/lacunar stroke (hazard ratio [HR] 0.82, 95% CI 0.71-0.95) and hemorrhagic stroke (HR 0.74, 95% CI 0.58-0.93) in adjusted Cox proportional hazards models. By contrast, there was no statistically significant difference among subtypes when adjusting for atrial fibrillation and competing risk of death. Compared with cardioembolic stroke, thrombotic/lacunar stroke was associated with lower readmission risk within 1 month (HR 0.66, 95% CI 0.46-0.93) and during 1 month-1 year (HR 0.78, 95% CI 0.62-0.97), and hemorrhagic stroke was associated with lower risk during 1 month-1 year (HR 0.60, 95% CI 0.41-0.87). There was no significant difference between subtypes in readmission risk during later periods. DISCUSSION Over 26 years of follow-up, 81% of stroke participants experienced a readmission. Cardiovascular and cerebrovascular diagnoses at readmission were most common across stroke subtypes. Though cardioembolic stroke has previously been reported to confer higher risk of readmission, in this study, the readmission risk was not statistically significantly different between stroke subtypes or over different periods when accounting for the competing risk of death.
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Affiliation(s)
- Kelly L Sloane
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
| | - Rebecca F Gottesman
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
| | - Michelle C Johansen
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
| | - Sara Jones Berkeley
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
| | - Josef Coresh
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
| | - Anna Kucharska-Newton
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
| | - Wayne D Rosamond
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
| | - Andrea L C Schneider
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
| | - Silvia Koton
- From the Department of Neurology (K.L.S., A.L.C.S.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; National Institute of Neurological Disorders and Stroke Intramural Research Program (R.F.G.), NIH, Bethesda, MD; Department of Neurology (M.C.J.), School of Medicine, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (S.J.B, A.K.-N., W.D.R.), Gillings School of Global Public Health, University of North Carolina Chapel Hill; Department of Epidemiology (J.C., S.K.), Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD; Department of Epidemiology (A.K.-N.), College of Public Health, University of Kentucky, Lexington; Department of Biostatistics (A.L.C.S.), Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and School of Health Professions (S.K.), Faculty of Medicine, Tel Aviv University, Israel
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Gordon Perue G, Ying H, Bustillo A, Zhou L, Gutierrez CM, Gardener HE, Krigman J, Jameson A, Dong C, Rundek T, Rose DZ, Romano JG, Alkhachroum A, Sacco RL, Asdaghi N, Koch S. Ten-Year Review of Antihypertensive Prescribing Practices After Stroke and the Associated Disparities From the Florida Stroke Registry. J Am Heart Assoc 2023; 12:e030272. [PMID: 37982263 PMCID: PMC10727272 DOI: 10.1161/jaha.123.030272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 09/29/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Guideline-based hypertension management is integral to the prevention of stroke. We examine trends in antihypertensive medications prescribed after stroke and assess how well a prescriber's blood pressure (BP) medication choice adheres to clinical practice guidelines (BP-guideline adherence). METHODS AND RESULTS The FSR (Florida Stroke Registry) uses statewide data prospectively collected for all acute stroke admissions. Based on established guidelines, we defined optimal BP-guideline adherence using the following hierarchy of rules: (1) use of an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker as first-line antihypertensive among diabetics; (2) use of thiazide-type diuretics or calcium channel blockers among Black patients; (3) use of beta blockers among patients with compelling cardiac indication; (4) use of thiazide, angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, or calcium channel blocker class as first line in all others; (5) beta blockers should be avoided as first line unless there is a compelling cardiac indication. A total of 372 254 cases from January 2010 to March 2020 are in the FSR with a diagnosis of acute ischemic stroke, hemorrhagic stroke, transient ischemic attack, or subarachnoid hemorrhage; 265 409 with complete data were included in the final analysis. Mean age was 70±14 years; 50% were women; and index stroke subtypes were 74% acute ischemic stroke, 11% intracerebral hemorrhage, 11% transient ischemic attack, and 4% subarachnoid hemorrhage. BP-guideline adherence to each specific rule ranged from 48% to 74%, which is below quality standards of 80%, and was lower among Black patients (odds ratio, 0.7 [95% CI, 0.7-0.83]; P<0.001) and those with atrial fibrillation (odds ratio, 0.53 [95% CI, 0.50-0.56]; P<0.001) and diabetes (odds ratio, 0.65 [95% CI, 0.61-0.68]; P<0.001). CONCLUSIONS This large data set demonstrates consistently low rates of BP-guideline adherence over 10 years. There is an opportunity for monitoring hypertensive management after stroke.
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Affiliation(s)
- Gillian Gordon Perue
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Hao Ying
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Antonio Bustillo
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Lili Zhou
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Carolina M. Gutierrez
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Hannah E. Gardener
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Judith Krigman
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Angus Jameson
- University of South Florida Morsani College of MedicineTampaFL
| | - Chuanhui Dong
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Tatjana Rundek
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - David Z. Rose
- University of South Florida Morsani College of MedicineTampaFL
| | - Jose G. Romano
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Ayham Alkhachroum
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Ralph L. Sacco
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Negar Asdaghi
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
| | - Sebastian Koch
- Department of Neurology, Leonard M. Miller School of MedicineUniversity of MiamiMiamiFL
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6
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Johnson KH, Gardener H, Gutierrez C, Marulanda E, Campo-Bustillo I, Gordon Perue G, Hlaing W, Sacco R, Romano JG, Rundek T. Disparities in transitions of acute stroke care: The transitions of care stroke disparities study methodological report. J Stroke Cerebrovasc Dis 2023; 32:107251. [PMID: 37441890 PMCID: PMC10529930 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/07/2023] [Accepted: 07/07/2023] [Indexed: 07/15/2023] Open
Abstract
OBJECTIVE The Transitions of Stroke Care Disparities Study (TCSD-S) is an observational study designed to determine race-ethnic and sex disparities in post-hospital discharge transitions of stroke care and stroke outcomes and to develop hospital-level initiatives to reduce these disparities to improve stroke outcomes. MATERIALS AND METHODS Here, we present the study rationale, describe the methodology, report preliminary outcomes, and discuss a critical need for the development, implementation, and dissemination of interventions for successful post-hospital transition of stroke care. The preliminary outcomes describe the demographic, stroke risk factor, socioeconomic, and acute care characteristics of eligible participants by race-ethnicity and sex. We also report on all-cause and vascular-related death, readmissions, and hospital/emergency room representations at 30- and 90-days after hospital discharge. RESULTS The preliminary sample included data from 1048 ischemic stroke and intracerebral hemorrhage discharged from 10 comprehensive stroke centers across the state of Florida. The overall sample was 45% female, 22% Non-Hispanic Black and 21% Hispanic participants, with an average age of 64 ± 14 years. All cause death, readmissions, or hospital/emergency room representations are 10% and 19% at 30 and 90 days, respectively. One in 5 outcomes was vascular-related. CONCLUSIONS This study highlights the transition from stroke hospitalization as an area in need for considerable improvement in systems of care for stroke patients discharged from hospital. Results from our preliminary analysis highlight the importance of investigating race-ethnic and sex differences in post-stroke outcomes.
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Affiliation(s)
- Karlon H Johnson
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA.
| | - Hannah Gardener
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Carolina Gutierrez
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Erika Marulanda
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Iszet Campo-Bustillo
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Gillian Gordon Perue
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - WayWay Hlaing
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Ralph Sacco
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Jose G Romano
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
| | - Tatjana Rundek
- Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, CRB 919, Miami, Florida 33136, USA
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Dolu İ, Hayter M, Serrant L. Transitional care of older ethnic minority patients: An integrative review. J Adv Nurs 2023; 79:3225-3257. [PMID: 37248540 DOI: 10.1111/jan.15722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 04/24/2023] [Accepted: 05/16/2023] [Indexed: 05/31/2023]
Abstract
AIMS To critically synthesize the empirical literature on practice in transitional care and how to meet the care needs of older ethnic minority populations who discharged from hospital to community. DESIGN An integrative literature review integrating empirical studies using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA SOURCES PubMed, Web of Science, PsycINFO, EBSCO (including CINAHL and MEDLINE) and Scopus were searched for papers published between 2012 and September 2022. REVIEW METHODS Full-text papers were screened against inclusion and exclusion criteria subsequent to screening titles and abstracts. All included papers were evaluated for methodological quality using the Critical Appraisal Skills Programme Checklists. After extracting findings, themes were created by critically examining and synthesizing of findings. RESULTS The search yielded a total of 1180 studies, 1153 after removing duplicates and 27 papers meeting the inclusion criteria and exclusion criteria were included in the review. The main findings were categorized into four themes: (i) intervention-related outcomes; (ii) unmet needs of older minority people; (iii) transitional care-related characteristics of older minority people and (iv) challenges for healthcare providers. Findings indicated that the transitional care experience of ethnic minority older populations differed from natives to some extent which revealed unmet needs addressing how to provide culturally appropriate transitional care for this population. CONCLUSION This review gave insight into facilitators in the transitional care of ethnic minority older adults. Future transitional care interventions should incorporate needs of ethnic minority population. IMPACT This review highlighted the defined gaps between existing transitional care programmes and transitional care needs of older ethnic minority. Increasing follow-up completion, evidence defining deeply of ethnic phenomenon in the transitional care process, developing interventions that meet transitional care needs and increasing healthcare providers' cultural competency were featured headlines. No Patient or Public Contribution.
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Affiliation(s)
- İlknur Dolu
- Department of Nursing, Faculty of Health Science, Bartın University, Bartın, Turkey
| | - Mark Hayter
- Department of Nursing, Faculty of Health and Education, Manchester Metropolitan University, Manchester, UK
| | - Laura Serrant
- Department of Nursing, Faculty of Health and Education, Manchester Metropolitan University, Manchester, UK
- Health Education England, North East & Yorkshire, England, UK
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Perue GG, Ying H, Bustillo A, Zhou L, Gutierrez CM, Wang K, Gardener HE, Krigman J, Jameson A, Foster D, Dong C, Rundek T, Rose DZ, Romano JG, Alkhachroum A, Sacco RL, Asdaghi N, Koch S. A 10-year review of antihypertensive prescribing practices after stroke and the associated disparities from the Florida Stroke Registry. medRxiv 2023:2023.02.15.23286003. [PMID: 36824806 PMCID: PMC9949203 DOI: 10.1101/2023.02.15.23286003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
Background Guideline based hypertension management is integral to the prevention of stroke. We examine trends in antihypertensive medications prescribed after stroke and assess how well a prescribers' blood pressure medication choice adheres to clinical practice guidelines (Prescribers'-Choice Adherence). Methods The Florida Stroke registry (FSR) utilizes statewide data prospectively collected for all acute stroke admissions. Based on established guidelines we defined optimal Prescribers'-Choice Adherence using the following hierarchy of rules: 1) use of an angiotensin inhibitor (ACEI) or angiotensin receptor blocker (ARB) as first-line antihypertensive among diabetics; 2) use of thiazide-type diuretics or calcium channel blockers (CCB) among African-American patients; 3) use of beta-adrenergic blockers (BB) among patients with compelling cardiac indication (CCI) 4) use of thiazide, ACEI/ARB or CCB class as first-line in all others; 5) BB should be avoided as first line unless CCI. RESULTS A total of 372,254 cases from January 2010 to March 2020 are in FSR with a diagnosis of acute ischemic, hemorrhagic stroke, transient ischemic attack or subarachnoid hemorrhage; 265,409 with complete data were included in the final analysis. Mean age 70 +/-14 years, 50% female, index stroke subtype of 74% acute ischemic stroke and 11% intracerebral hemorrhage. Prescribers'-Choice Adherence to each specific rule ranged from 48-74% which is below quality standards of 85%. There were race-ethnic disparities with only 49% Prescribers choice Adherence for African Americans patients. Conclusion This large dataset demonstrates consistently low rates of Prescribers'-Choice Adherence over 10 years. There is an opportunity for quality improvement in hypertensive management after stroke.
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Affiliation(s)
- Gillian Gordon Perue
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Hao Ying
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Antonio Bustillo
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Lili Zhou
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Carolina M. Gutierrez
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Kefeng Wang
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Hannah E Gardener
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Judith Krigman
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Angus Jameson
- University of South Florida Morsani College of Medicine, Tampa FL
| | | | - Chuanhui Dong
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Tatjana Rundek
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - David Z Rose
- University of South Florida Morsani College of Medicine, Tampa FL
| | - Jose G. Romano
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Ayham Alkhachroum
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Ralph L. Sacco
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Negar Asdaghi
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Sebastian Koch
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
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Abstract
IMPORTANCE Black and Hispanic US residents are disproportionately affected by stroke incidence, and patients with dual eligibility for Medicare and Medicaid may be predisposed to more severe strokes. Little is known about differences in stroke severity for individuals with dual eligibility, Black individuals, and Hispanic individuals, but understanding hospital admission stroke severity is the first important step for focusing strategies to reduce disparities in stroke care and outcomes. OBJECTIVE To examine whether dual eligibility and race and ethnicity are associated with stroke severity in Medicare beneficiaries admitted to acute hospitals with ischemic stroke. DESIGN, SETTING, AND PARTICIPANTS This retrospective cross-sectional study was conducted using Medicare claims data for patients with ischemic stroke admitted to acute hospitals in the United States from October 1, 2016, to November 30, 2017. Data were analyzed from July 2021 and January 2022. EXPOSURES Dual enrollment for Medicare and Medicaid; race and ethnicity categorized as White, Black, Hispanic, and other. MAIN OUTCOMES AND MEASURES Claim-based National Institutes of Health Stroke Scale (NIHSS) categorized into minor (0-7), moderate (8-13), moderate to severe (14-21), and severe (22-42) stroke. RESULTS Our sample included 45 459 Medicare fee-for-service patients aged 66 and older (mean [SD] age, 80.2 [8.4]; 25 303 [55.7%] female; 7738 [17.0%] dual eligible; 4107 [9.0%] Black; 1719 [3.8%] Hispanic; 37 715 [83.0%] White). In the fully adjusted models, compared with White patients, Black patients (odds ratio [OR], 1.21; 95% CI, 1.06-1.39) and Hispanic patients (OR, 1.54; 95% CI, 1.29-1.85) were more likely to have a severe stroke. Using White patients without dual eligibility as a reference group, White patients with dual eligibility were more likely to have a severe stroke (OR, 1.75; 95% CI, 1.56-1.95). Similarly, Black patients with dual eligibility (OR, 2.15; 95% CI, 1.78-2.60) and Hispanic patients with dual eligibility (OR, 2.50; 95% CI, 1.98-3.16) were more likely to have a severe stroke. CONCLUSIONS AND RELEVANCE In this cross-sectional study, Medicare fee-for-service patients with ischemic stroke admitted to acute hospitals who were Black or Hispanic had a higher likelihood of worse stroke severity. Additionally, dual eligibility status had a compounding association with stroke severity regardless of race and ethnicity. An urgent effort is needed to decrease disparities in access to preventive and poststroke care for dual eligible and minority patients.
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Affiliation(s)
- Pamela R. Bosch
- College of Health and Human Services, Northern Arizona University, Phoenix Biomedical Campus, Phoenix
| | - Amol M. Karmarkar
- Department of Physical Medicine and Rehabilitation, School of Medicine, Virginia Commonwealth University, Richmond
- Sheltering Arms Institute, Richmond, Virginia
| | - Indrakshi Roy
- Center for Health Equity Research, Northern Arizona University, Flagstaff
| | - Corey R. Fehnel
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Marcus Institute for Aging Research, Boston, Massachusetts
| | - Robert E. Burke
- Division of General Internal Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Amit Kumar
- College of Health and Human Services, Northern Arizona University, Phoenix Biomedical Campus, Phoenix
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Ikeme S, Kottenmeier E, Uzochukwu G, Brinjikji W. Evidence-Based Disparities in Stroke Care Metrics and Outcomes in the United States: A Systematic Review. Stroke 2022; 53:670-679. [PMID: 35105178 DOI: 10.1161/strokeaha.121.036263] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Stroke disproportionately affects racial minorities, and the level to which stroke treatment practices differ across races is understudied. Here, we performed a systematic review of disparities in stroke treatment between racial minorities and White patients. A systematic literature search was performed on PubMed to identify studies published from January 1, 2010, to April 5, 2021 that investigated disparities in access to stroke treatment between racial minorities and White patients. A total of 30 studies were included in the systematic review. White patients were estimated to use emergency medical services at a greater rate (59.8%) than African American (55.6%), Asian (54.7%), and Hispanic patients (53.2%). A greater proportion of White patients (37.4%) were estimated to arrive within 3 hours from onset of stroke symptoms than African American (26.0%) and Hispanic (28.9%) patients. A greater proportion of White patients (2.8%) were estimated to receive tPA (tissue-type plasminogen activator) as compared with African American (2.3%), Hispanic (2.6%), and Asian (2.3%) patients. Rates of utilization of mechanical thrombectomy were also lower in minorities than in the White population. As shown in this review, racial disparities exist at key points along the continuum of stroke care from onset of stroke symptoms to treatment. Beyond patient level factors, these disparities may be attributed to other provider and system level factors within the health care ecosystem.
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Affiliation(s)
- Shelly Ikeme
- CERENOVUS, Johnson & Johnson, Irvine, CA (S.I., E.K.)
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Yaghi S, Furie K, Wechsler L, Mullen MT, Stretz C, Burton T, de Havenon A. Differences in Inpatient Insertable Cardiac Monitor Placement after Ischemic Stroke. J Stroke Cerebrovasc Dis 2021;:106124. [PMID: 34674901 DOI: 10.1016/j.jstrokecerebrovasdis.2021.106124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 08/22/2021] [Accepted: 09/14/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND AND PURPOSE Cryptogenic stroke accounts for 30% of ischemic stroke and in such patients, cardiac monitoring leads to increased detection of AF, increased utilization of anticoagulation, and decreased risk of recurrent stroke. We aim to identify differences in inpatient utilization of implantable cardiac monitors (ICMs) in patients with ischemic stroke. METHODS This is an analysis of the National Inpatient Sample. We included all ischemic stroke hospitalizations nation-wide between Jan 1st 2016 and Dec 31st 2018. We excluded patients with history of atrial fibrillation or atrial flutter. We compared survey weighted baseline demographics and characteristics between patients who received an inpatient ICM versus those who didn't using logistic regression models. RESULTS We identified a weighted total 1,069,395 patients who met the inclusion criteria; 2.2% received an inpatient ICM. In multivariable analyses, factors associated with decreased odds of inpatient ICM placement including Black race (OR 0.76 95% CI 0.68 - 0.84, p < 0.001), residence in a micropolitan area (OR 0.79 95% CI 0.67 - 0.94, p = 0.008), hospital region [Midwest (OR 0.74 95% CI 0.61 - 0.90, p = 0.002), South (OR 0.68 95% CI 0.57 - 0.81, p < 0.001), and West (OR 0.37 95% CI 0.29 - 0.45, p < 0.001)], hospital bed size [small (OR 0.38 95% CI 0.39-0.46, p < 0.001) and medium hospital bed size (OR 0.73 95% CI 0.63 - 0.84, p < 0.001)], insurance status [Medicaid (OR 0.86 95% CI 0.76 - 0.98, p = 0.02) and self-pay (OR 0.51 95% CI 0.41 - 0.62, p < 0.001)], and non-teaching hospital (OR 0.52 95% CI 0.47 - 0.60, p < 0.001). CONCLUSIONS There are important differences in inpatient ICM placement in patients with ischemic stroke highlighting disparities in inpatient care for patients hospitalized with ischemic stroke. More studies are needed to validate our findings.
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Zarate Rodriguez JG, Cos H, Williams GA, Woolsey CA, Fields RC, Strasberg SM, Doyle MB, Khan AS, Chapman WC, Hammill CW, Hawkins WG, Sanford DE. Inability to manage non-severe complications on an outpatient basis increases non-white patient readmission rates after pancreaticoduodenectomy: A large metropolitan tertiary care center experience. Am J Surg 2021; 222:964-968. [PMID: 33906729 DOI: 10.1016/j.amjsurg.2021.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 03/25/2021] [Accepted: 04/06/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Pancreaticoduodenectomy (PD) has a high rate of readmission, and racial disparities in care could be an important contributor. METHODS Patients undergoing PD were prospectively followed, and their complications graded using the Modified Accordion Grading System (MAGS). Patient factors and perioperative outcomes for patients with and without postoperative readmission were compared in univariate and multivariate analysis by severity. RESULTS 837 patients underwent PD, the overall 90-day readmission rate was 27.5%. Non-white race was independently associated with readmission (OR 1.83, p = 0.007). 51.3% of readmissions were for non-severe complications (MAGS <3). Non-white race was independently associated with MAGS non-severe readmission (OR 2.13, p = 0.006), but not MAGS severe readmission. CONCLUSIONS Non-white patients are more likely to be readmitted, particularly for non-severe complications. Follow up protocols should be tailored to address race disparities in the rates of readmission as readmission for less severe complications could potentially be avoidable.
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Affiliation(s)
- Jorge G Zarate Rodriguez
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Heidy Cos
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Gregory A Williams
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Cheryl A Woolsey
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Ryan C Fields
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Steven M Strasberg
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Majella B Doyle
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Adeel S Khan
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - William C Chapman
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Chet W Hammill
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - William G Hawkins
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA
| | - Dominic E Sanford
- Department of Surgery, Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, Saint Louis, MO, USA.
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Gardener H, Rundek T, Lichtman J, Leifheit E, Wang K, Asdaghi N, Romano JG, Sacco RL. Adherence to Acute Care Measures Affects Mortality in Patients with Ischemic Stroke: The Florida Stroke Registry. J Stroke Cerebrovasc Dis 2021; 30:105586. [PMID: 33412397 DOI: 10.1016/j.jstrokecerebrovasdis.2020.105586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 12/15/2020] [Accepted: 12/26/2020] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES How race/ethnic disparities in acute stroke care contribute to disparities in outcomes is not well-understood. We examined the relationship between acute stroke care measures with mortality within the first year and 30-day hospital readmission by race/ethnicity. MATERIALS AND METHODS The study included fee-for-service Medicare beneficiaries age ≥65 with ischemic stroke in 2010-2013 treated at 66 hospitals in the Florida Stroke Registry. Stroke care metrics included intravenous Alteplase treatment, in-hospital antithrombotic therapy, DVT prophylaxis, discharge antithrombotic therapy, anticoagulation therapy, statin use, and smoking cessation counseling. We used mixed logistic models to assess the associations between stroke care and mortality (in-hospital, 30-day, 6-month, 1-year post-stroke) and hospital readmission by race/ethnicity, adjusting for demographics, stroke severity, and vascular risk factors. RESULTS Among 14,100 ischemic stroke patients in the full study population (73% white, 11% Black, 15% Hispanic), mortality was 3% in-hospital, 12% at 30d, 21% at 6m, 26% at 1y, and 15% had a hospital readmission within 30 days. Patients who received antithrombotics early and at discharge had lower mortality at all time points, and the protective association for early antithrombotic use was strongest among whites. Eligible patients who received statin therapy at discharge had decreased 6m and 1y mortality, but specifically among minority groups. Statin therapy was associated with lower 30-day hospital readmission. CONCLUSIONS Acute stroke care measures, particularly antithrombotic use and statin therapy, were associated with reduced odds of long-term mortality. The benefits of these acute care measures were less likely among Hispanic patients. Results underscore the importance of optimizing acute stroke care for all patients.
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Affiliation(s)
- Hannah Gardener
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL USA.
| | - Tatjana Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL USA
| | - Judith Lichtman
- Department of Epidemiology, Yale School of Public Health, New Haven, CT USA
| | - Erica Leifheit
- Department of Epidemiology, Yale School of Public Health, New Haven, CT USA
| | - Kefeng Wang
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL USA
| | - Negar Asdaghi
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL USA
| | - Jose G Romano
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL USA
| | - Ralph L Sacco
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL USA
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