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Jaiswal V, Hanif M, Ang SP, Suresh V, Ruchika F, Momi NK, Naz S, Rajak K, Halder A, Kumar T, Naz H, Alvarez VHA. The Racial Disparity among the clinical outcomes post Stroke and its intervention outcomes: A Systematic Review and Meta-analysis. Curr Probl Cardiol 2023; 48:101753. [PMID: 37088178 DOI: 10.1016/j.cpcardiol.2023.101753] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 04/17/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND The Racial disparity between the clinical outcomes post stroke have not been well studied, with limited literature available. OBJECTIVE We conducted a meta-analysis to evaluate the post-stroke outcomes among the White and Black race of patients METHODS: We systematically searched all electronic databases from inception until 1st March 2023. The primary endpoint was post stroke in-hospital mortality, and all-cause mortality. Secondary endpoints were post-stroke intervention in-hospital mortality, intracerebral hemorrhage, and all-cause mortality (ACM) RESULT: 1250397 patients were included in the analysis, with 1018892 (81.48%) patients of the White race and 231505 (18.51%) patients in the Black race. The mean age of the patients in each group was (73.55 vs 66.28). The most common comorbidity among White and Black patients was HTN (73.92% vs 81.00%), and DM (29.37% vs 43.36%). The odds of in hospital mortality post stroke (OR, 1.45(95%CI:1.35-1.55), P<0.001), and all-cause mortality (OR, 1.40(95%CI:1.28-1.54), P<0.001) were significantly higher among White patients compared with Black patients. Among patients with post stroke intervention the odds of in-hospital mortality (OR, 1.29 (95% CI: 1.05-1.59, P=0.02), and intracerebral hemorrhage (ICH) (OR, 1.15, (95%CI:1.06-1.26), P<0.01) were significantly higher among White patients compared with Black patients post intervention. However, all-cause mortality (OR,1.21(95%CI: 0.87-1.68, P=0.25) was comparable between both groups. CONCLUSION Our study is the most comprehensive and first meta-analysis with the largest sample size thus far, highlighting that White patients are at increased risk of mortality and post intervention intracerebral hemorrhage compared with Black patients.
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Affiliation(s)
- Vikash Jaiswal
- Department of Cardiovascular Research, Larkin Community Hospital, South Miami, Fl, 33143, USA; JCCR Cardiology Research, Varanasi, India.
| | - Muhammad Hanif
- Department of Internal Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Song Peng Ang
- Department of Internal Medicine, Rutgers Health/Community Medical Center, New Jersey, USA
| | - Vinay Suresh
- Department of Medicine and Surgery, King George's Medical University, Lucknow, India
| | - Fnu Ruchika
- Department of Medicine and Surgery, JJM Medical College, Davangere, Karnataka, India
| | | | - Sidra Naz
- The University of Texas, MD Anderson Cancer Center, Texas, USA
| | - Kripa Rajak
- Department of Internal Medicine, UPMC Harrisburg, USA
| | - Anupam Halder
- Department of Internal Medicine, UPMC Harrisburg, USA
| | - Tushar Kumar
- Department of Radiology, Sikkim Manipal Institute of Medical Science, Gangtok, India
| | - Hira Naz
- Fathima Memorial Hospital, Lahore, Pakistan
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Liou L, Mostofsky E, Lehman L, Salia S, Gupta S, Barrera FJ, Mittleman MA. Racial disparities in post-transplant stroke and mortality following stroke in adult cardiac transplant recipients in the United States. PLoS One 2023; 18:e0268275. [PMID: 36795697 PMCID: PMC9934340 DOI: 10.1371/journal.pone.0268275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 10/13/2022] [Indexed: 02/17/2023] Open
Abstract
Black heart transplant recipients have a higher mortality rate than white recipients 6-12 months after transplant. Whether there are racial disparities in post-transplant stroke incidence and all-cause mortality following post-transplant stroke among cardiac transplant recipients is unknown. Using a nationwide transplant registry, we assessed the association between race and incident post-transplant stroke using logistic regression and the association between race and mortality among adults who survived a post-transplant stroke using Cox proportional hazards regression. We found no evidence of an association between race and the odds of post-transplant stroke (OR = 1.00, 95% CI: 0.83-1.20). The median survival time of those with a post-transplant stroke in this cohort was 4.1 years (95% CI: 3.0, 5.4). There were 726 deaths among the 1139 patients with post-transplant stroke, including 127 deaths among 203 Black patients and 599 deaths among 936 white patients. Among post-transplant stroke survivors, Black transplant recipients experienced a 23% higher rate of mortality compared to white recipients (HR = 1.23, 95% CI: 1.00-1.52). This disparity is strongest in the period beyond the first 6 months and appears to be mediated by differences in the post-transplant setting of care between Black and white patients. The racial disparity in mortality outcomes was not evident in the past decade. The improved survival of Black patients in the recent decade may reflect overall protocol improvements for heart transplant recipients irrespective of race, such as advancements in surgical techniques and immediate postoperative care as well as increased awareness about reducing racial disparities.
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Affiliation(s)
- Lathan Liou
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Merck & Co., Merck Research Laboratories, Boston, Massachusetts, United States of America
| | - Elizabeth Mostofsky
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Laura Lehman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts, United States of America
| | - Soziema Salia
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Internal Medicine, Cape Coast Teaching Hospital, Cape Coast, Ghana
| | - Suruchi Gupta
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Francisco J. Barrera
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Murray A. Mittleman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Cardiovascular Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
- * E-mail:
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Zhang X, Liu J, Han H, Zhang P, Chen X, Yuan H, Chen M, Zhu Q, Liebeskind DS, Miao Z. Effectiveness and safety of the Trevo® Retriever for mechanical thrombectomy in Chinese patients with acute ischemic stroke: Trevo Retriever China Registry. Interv Neuroradiol 2023:15910199231151275. [PMID: 36703568 DOI: 10.1177/15910199231151275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND To quantify the effectiveness and safety of the Trevo® Retriever for endovascular treatment of acute ischemic stroke (AIS) patients in China. METHODS Trevo Retriever Registry (China) was a prospective, multicenter, non-comparative, open-label study of patients with AIS treated with the Trevo Retriever. The primary outcome was the proportion of patients achieving an expanded Thrombolysis in Cerebral Infarction (eTICI) score ≥2b at the end of endovascular treatment. Secondary outcomes included first-pass eTICI score ≥2b and 90-day modified Rankin Scale (mRS) score ≤2. RESULTS The Trevo Retriever Registry (China) enrolled and followed 201 patients (62.1 ± 12.5 years-old; 70.6% male) at 11 centers. The pre-procedure NIHSS score and ASPECTS were 16 (interquartile range (IQR), 13-21) and 7 (IQR, 6-9), respectively, and 188 (93.5%) patients had an mRS score of 0 prior to the stroke. The main stroke etiology was large artery atherosclerosis, accounting for 71.6% (144/201) of patients. Post-procedure eTICI ≥2b was 98.4% (187/190). First-pass eTICI ≥2b was 74.7% (136/182). The 90-day good outcome (mRS ≤2) rate was 73.6% (148/201). The 90-day all-cause mortality was 5.5% (11/201). Neurological deterioration at 24 h post-procedure was observed in 7.7% (15/195) patients. Embolism in a new territory was seen in one patient (0.5%). Two (1.0%) procedure-related adverse events (AEs) occurred, which were intra-procedure cerebral artery embolism. No Trevo related AEs occurred. CONCLUSIONS This real-world study of the Trevo Retriever in China demonstrated a high rate of revascularization and first-pass success that resulted in an overall high good function outcome rate and low mortality.
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Affiliation(s)
- Xuelei Zhang
- Department of Neurointerventional, 105738Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Jinchao Liu
- 117938Puyang Oilfield General Hospital, Puyang, China
| | - Hongxing Han
- Department of Neurology, 529858Linyi People's Hospital, Linyi, China
| | - Pinyuan Zhang
- Department of Neurosurgery (Cerebrovascular Disease), The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xianglin Chen
- Department of Cerebrovascular Disease, 534795Qingyuan People's Hospital, Qingyuan, China
| | - Haicheng Yuan
- Department of Neurology, Qingdao Central Hospital, Qingdao, China
| | - Maohua Chen
- Department of Neurosurgery, Wenzhou Central Hospital, Wenzhou, China
| | - Qiyi Zhu
- Department of Neurology, 529858Linyi People's Hospital, Linyi, China
| | - David S Liebeskind
- Department of Neurology and UCLA Stroke Center, University of California, Los Angeles, CA, USA
| | - Zhongrong Miao
- Department of Neurointerventional, 105738Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
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Lekoubou A, Wu EY, Bishu KG, Ovbiagele B. Prevalence, predictors, and prognosis of mortality among elderly stroke patients with convulsive status epilepticus in the United States. J Neurol Sci 2022; 440:120342. [PMID: 35908304 DOI: 10.1016/j.jns.2022.120342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 06/10/2022] [Accepted: 07/13/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Stroke is the most common cause of epilepsy in the elderly. However, despite the high mortality typically associated with convulsive status epilepticus (CSE), there is a dearth of nationwide data on the magnitude and association of CSE with mortality among hospitalized elderly with stroke in the United States. METHODS We analyzed the 2006-2014 National Inpatient Sample (NIS) to identify elderly patients (65+ years) with a primary discharge diagnosis of stroke using the International Classification of Diseases, Ninth Revision-Clinical Modification (ICD-9-CM) codes 433.X1, 434.X1, 436, 430, 431, 432.0, 432.1, and 432.9. We examined a subgroup with a secondary discharge diagnosis of convulsive status epilepticus (ICD-9-CM: 345.3). We estimated the hospital mortality rate by CSE status and then evaluated the independent association of CSE and other key factors with mortality among hospitalized elderly with stroke. RESULTS A total of 1220 elderly patients (0.14%) had a secondary discharge diagnosis of CSE. Inpatient mortality rate was 25.8% among those with CSE vs. 7.7% for non-CSE patients. CSE was independently associated with a 4-fold increased odds of in-hospital death. Increased age, medical comorbidities, weekend admissions, being a Medicare beneficiary, and hospitalization in large urban teaching hospitals were also independently associated with a greater likelihood of in-hospital death. The small number of events did not allow analysis by stroke subtypes. CONCLUSION While CSE occurs in just 14 of 10,000 hospitalized elderly stroke patients in the United States, it is associated with a 4-fold higher odds of in-hospital death.
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Affiliation(s)
- Alain Lekoubou
- Department of Neurology, Penn State University, Hershey Medical Center, Hershey, PA, USA.
| | - Emma Y Wu
- Penn State College of Medicine, Hershey, PA, USA.
| | - Kinfe G Bishu
- Department of Medicine, Medical University of South Carolina, Charleston, SC & Section of Health Systems Research and Policy, Medical University of South Carolina, Charleston, SC, USA.
| | - Bruce Ovbiagele
- Department of Neurology, University of California, San Francisco, USA.
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Albright KC, Howard VJ. Prognosis After Stroke: Do We Have What We Need to Talk With Patients and Their Families? Neurology 2022; 98:1001-1002. [PMID: 35649729 DOI: 10.1212/wnl.0000000000200754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/01/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- Karen C Albright
- From the Departments of Neurology and Pharmacology (K.C.A.), SUNY Upstate Medical University, Syracuse, NY; and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham
| | - Virginia J Howard
- From the Departments of Neurology and Pharmacology (K.C.A.), SUNY Upstate Medical University, Syracuse, NY; and Department of Epidemiology (V.J.H.), School of Public Health, University of Alabama at Birmingham.
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Tarko L, Costa L, Galloway A, Ho YL, Gagnon D, Lioutas V, Seshadri S, Cho K, Wilson P, Aparicio HJ. Racial and Ethnic Differences in Short- and Long-term Mortality by Stroke Type. Neurology 2022; 98:e2465-e2473. [PMID: 35649728 DOI: 10.1212/wnl.0000000000200575] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 03/01/2022] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Racial and ethnic disparities in stroke outcomes exist, but differences by stroke type are less understood. We studied the association of race and ethnicity with stroke mortality, by stroke type, in a national sample of hospitalized patients in the Veterans Health Administration. METHODS A retrospective observational study was performed including non-Hispanic White, non-Hispanic Black, and Hispanic patients with a first hospitalization for stroke between 2002 and 2012. Stroke was determined using ICD-9 codes and date of death was obtained from the National Death Index. For each of acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH), we constructed a piecewise multivariable model for all-cause mortality, using follow-up intervals of ≤30 days, 31-90 days, 91 days to 1 year, and >1 year. RESULTS Among 37,790 patients with stroke (89% AIS, 9% ICH, 2% SAH), 25,492 (67%) were non-Hispanic White, 9,752 (26%) were non-Hispanic Black, and 2,546 (7%) were Hispanic. The cohort was predominantly male (98%). Compared with White patients, Black patients experienced better 30-day survival after AIS (hazard ratio [HR] 0.80, 95% CI 0.73-0.88; 1.4% risk difference) and worse 30-day survival after ICH (HR 1.24, 95% CI 1.06-1.44; 3.2% risk difference). Hispanic patients experienced reduced risk for >1-year mortality after AIS (HR 0.87, 95% CI 0.80-0.94), but had greater risk of 30-day mortality after SAH compared with White patients (HR 1.61, 95% CI 1.03-2.52; 10.3% risk difference). DISCUSSION Among US Veterans, absolute risk of 30-day mortality after ICH was 3.2% higher for Black patients and after SAH was 10.3% higher for Hispanic patients compared with White patients. These findings underscore the importance of investigating stroke outcomes by stroke type to better understand the factors driving observed racial and ethnic disparities.
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Affiliation(s)
- Laura Tarko
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Lauren Costa
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Ashley Galloway
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Yuk-Lam Ho
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - David Gagnon
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Vasileios Lioutas
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Sudha Seshadri
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Kelly Cho
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Peter Wilson
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA
| | - Hugo J Aparicio
- From the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) (L.T., L.C., A.G., Y.-L.H., D.G., V.L., S.S., K.C., H.J.A.), VA Boston Healthcare System; Department of Biostatistics (D.G.), Boston University School of Public Health; Department of Neurology (V.L.), Beth Israel Deaconess Medical Center, Harvard Medical School; Department of Neurology (S.S., H.J.A.), Boston University School of Medicine, MA; Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases (S.S.), University of Texas Health San Antonio; Division of Aging (K.C.), Brigham & Women's Hospital, Harvard Medical School, Boston, MA; Atlanta VA Medical Center (P.W.), Decatur; Division of Cardiology (P.W.), Emory University School of Medicine; Department of Epidemiology (P.W.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston Medical Center (H.J.A.), MA.
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Stroke Disparities. Stroke 2022. [DOI: 10.1016/b978-0-323-69424-7.00015-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Gao L, Zhao CW, Hwang DY. End-of-Life Care Decision-Making in Stroke. Front Neurol 2021; 12:702833. [PMID: 34650502 PMCID: PMC8505717 DOI: 10.3389/fneur.2021.702833] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/31/2021] [Indexed: 12/21/2022] Open
Abstract
Stroke is one of the leading causes of death and long-term disability in the United States. Though advances in interventions have improved patient survival after stroke, prognostication of long-term functional outcomes remains challenging, thereby complicating discussions of treatment goals. Stroke patients who require intensive care unit care often do not have the capacity themselves to participate in decision making processes, a fact that further complicates potential end-of-life care discussions after the immediate post-stroke period. Establishing clear, consistent communication with surrogates through shared decision-making represents best practice, as these surrogates face decisions regarding artificial nutrition, tracheostomy, code status changes, and withdrawal or withholding of life-sustaining therapies. Throughout decision-making, clinicians must be aware of a myriad of factors affecting both provider recommendations and surrogate concerns, such as cognitive biases. While decision aids have the potential to better frame these conversations within intensive care units, aids specific to goals-of-care decisions for stroke patients are currently lacking. This mini review highlights the difficulties in decision-making for critically ill ischemic stroke and intracerebral hemorrhage patients, beginning with limitations in current validated clinical scales and clinician subjectivity in prognostication. We outline processes for identifying patient preferences when possible and make recommendations for collaborating closely with surrogate decision-makers on end-of-life care decisions.
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Affiliation(s)
- Lucy Gao
- Yale School of Medicine, New Haven, CT, United States
| | | | - David Y. Hwang
- Division of Neurocritical Care and Emergency Neurology, Yale School of Medicine, New Haven, CT, United States
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Simmonds KP, Luo Z, Reeves M. Race/Ethnic and Stroke Subtype Differences in Poststroke Functional Recovery After Acute Rehabilitation. Arch Phys Med Rehabil 2021; 102:1473-1481. [PMID: 33684363 DOI: 10.1016/j.apmr.2021.01.090] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 01/16/2021] [Accepted: 01/21/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVE Significant racial/ethnic disparities in poststroke function exist, but whether these disparities vary by stroke subtype is unknown. Study goals were to (1) determine if racial/ethnic disparities in the recovery of poststroke function varied by stroke subtype and (2) identify confounding factors associated with these racial/ethnic disparities. DESIGN Secondary analysis of the 1-year Stroke Recovery in Underserved Populations Cohort Study. SETTING Eleven inpatient rehabilitation facilities (IRFs) across the United States. PARTICIPANTS A total of 1066 patients (n=868 with ischemic stroke and n=198 with hemorrhagic stroke, N=1066) who self-identified as White (n=813), Black (n=183), or Hispanic (n=70). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES FIM scores at IRF admission, discharge, 3 months, and 12 months were modeled using multivariable mixed effects longitudinal regression. RESULTS Compared with White patients, Black (-6.1 and -4.6) and Hispanic (-10.1 and -9.9) patients had significantly lower FIM scores at 3 and 12 months, respectively. A significant (P<.01) 3-way interaction (race/ethnic*subtype*time) indicated that disparities varied by stroke subtype. The stroke subtype differences were most prominent for Black-White disparities because disparities in hemorrhagic stroke were present at IRF admission (vs 3 months for ischemic stroke). Additionally, at 12 months, the magnitude of Black-White disparities was over 3 times larger for hemorrhagic stroke (-10.4) than ischemic stroke (-3.1). Age primarily influenced Black-White disparities (especially for hemorrhagic stroke), but factors that influenced Hispanic-White disparities were not identified. Sensitivity analyses showed that there were stroke subtype differences in racial/ethnic disparities for cognitive (but not motor) function, and results were robust to adjustments for missing data because of attrition. CONCLUSIONS There are significant differences between stroke subtypes in the timing and magnitude of Black-White disparities in poststroke function. Age was a major confounding factor for Black-White disparities (particularly for hemorrhagic stroke). Overall, Hispanic patients had the lowest levels of poststroke function, and more work is needed to identify significant factors that influence Hispanic-White disparities.
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Affiliation(s)
- Kent P Simmonds
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI; DO/PhD Program, College of Osteopathic Medicine, Michigan State University, East Lansing, MI.
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI
| | - Mathew Reeves
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI
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10
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Li X, Pan X, Jiang C, Wu M, Liu Y, Wang F, Zheng X, Yang J, Sun C, Zhu Y, Zhou J, Wang S, Zhao Z, Zou J. Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning. Front Neurol 2020; 11:539509. [PMID: 33329298 PMCID: PMC7710984 DOI: 10.3389/fneur.2020.539509] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 10/16/2020] [Indexed: 12/23/2022] Open
Abstract
Background and Purpose: Accurate prediction of functional outcome after stroke would provide evidence for reasonable post-stroke management. This study aimed to develop a machine learning-based prediction model for 6-month unfavorable functional outcome in Chinese acute ischemic stroke (AIS) patient. Methods: We collected AIS patients at National Advanced Stroke Center of Nanjing First Hospital (China) between September 2016 and March 2019. The unfavorable outcome was defined as modified Rankin Scale score (mRS) 3-6 at 6-month. We developed five machine-learning models (logistic regression, support vector machine, random forest classifier, extreme gradient boosting, and fully-connected deep neural network) and assessed the discriminative performance by the area under the receiver-operating characteristic curve. We also compared them to the Houston Intra-arterial Recanalization Therapy (HIAT) score, the Totaled Health Risks in Vascular Events (THRIVE) score, and the NADE nomogram. Results: A total of 1,735 patients were included into this study, and 541 (31.2%) of them had unfavorable outcomes. Incorporating age, National Institutes of Health Stroke Scale score at admission, premorbid mRS, fasting blood glucose, and creatinine, there were similar predictive performance between our machine-learning models, while they are significantly better than HIAT score, THRIVE score, and NADE nomogram. Conclusions: Compared with the HIAT score, the THRIVE score, and the NADE nomogram, the RFC model can improve the prediction of 6-month outcome in Chinese AIS patients.
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Affiliation(s)
- Xiang Li
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - XiDing Pan
- Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - ChunLian Jiang
- Department of Pathology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - MingRu Wu
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - YuKai Liu
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - FuSang Wang
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - XiaoHan Zheng
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jie Yang
- Department of Neurology, the First Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Chao Sun
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - YuBing Zhu
- Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - JunShan Zhou
- Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - ShiHao Wang
- School of Public Health, Bengbu Medical College, Bengbu, China
| | - Zheng Zhao
- Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - JianJun Zou
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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11
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Wafa HA, Wolfe CDA, Bhalla A, Wang Y. Long-term trends in death and dependence after ischaemic strokes: A retrospective cohort study using the South London Stroke Register (SLSR). PLoS Med 2020; 17:e1003048. [PMID: 32163411 PMCID: PMC7067375 DOI: 10.1371/journal.pmed.1003048] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 02/10/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND There have been reductions in stroke mortality over recent decades, but estimates by aetiological subtypes are limited. This study estimates time trends in mortality and functional dependence by ischaemic stroke (IS) aetiological subtype over a 16-year period. METHODS AND FINDINGS The study population was 357,308 in 2011; 50.4% were males, 56% were white, and 25% were of black ethnic backgrounds. Population-based case ascertainment of stroke was conducted, and all participants who had their first-ever IS between 2000 and 2015 were identified. Further classification was concluded according to the underlying mechanism into large-artery atherosclerosis (LAA), cardio-embolism (CE), small-vessel occlusion (SVO), other determined aetiologies (OTH), and undetermined aetiologies (UND). Temporal trends in survival rates were examined using proportional-hazards survival modelling, adjusted for demography, prestroke risk factors, case mix variables, and processes of care. We carried out additional regression analyses to explore patterns in case-fatality rates (CFRs) at 30 days and 1 year and to explore whether these trends occurred at the expense of greater functional dependence (Barthel Index [BI] < 15) among survivors. A total of 3,128 patients with first-ever ISs were registered. The median age was 70.7 years; 50.9% were males; and 66.2% were white, 25.5% were black, and 8.3% were of other ethnic groups. Between 2000-2003 and 2012-2015, the adjusted overall mortality decreased by 24% (hazard ratio [HR] per year 0.976; 95% confidence interval [CI] 0.959-0.993). Mortality reductions were equally noted in both sexes and in the white and black populations but were only significant in CE strokes (HR per year 0.972; 95% CI 0.945‒0.998) and in patients aged ≥55 years (HR per year 0.975; 95% CI 0.959‒0.992). CFRs within 30 days and 1 year after an IS declined by 38% (rate ratio [RR] per year 0.962; 95% CI 0.941‒0.984) and 37% (RR per year 0.963; 95% CI 0.949‒0.976), respectively. Recent IS was independently associated with a 23% reduced risk of functional dependence at 3 months after onset (RR per year 0.983; 95% CI 0.968-0.998; p = 0.002 for trend). The study is limited by small number of events in certain subgroups (e.g., LAA), which could have led to insufficient power to detect significant trends. CONCLUSIONS Both mortality and 3-month functional dependence after IS decreased by an annual average of around 2.4% and 1.7%, respectively, during 2000‒2015. Such reductions were particularly evident in strokes of CE origins and in those aged ≥55 years.
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Affiliation(s)
- Hatem A. Wafa
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Biomedical Research Centre, Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, London, United Kingdom
- * E-mail:
| | - Charles D. A. Wolfe
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Biomedical Research Centre, Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, London, United Kingdom
| | - Ajay Bhalla
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Yanzhong Wang
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Biomedical Research Centre, Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, United Kingdom
- National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London, London, United Kingdom
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12
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Elfassy T, Grasset L, Glymour MM, Swift S, Zhang L, Howard G, Howard VJ, Flaherty M, Rundek T, Osypuk TL, Zeki Al Hazzouri A. Sociodemographic Disparities in Long-Term Mortality Among Stroke Survivors in the United States. Stroke 2020; 50:805-812. [PMID: 30852967 DOI: 10.1161/strokeaha.118.023782] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background and Purpose- It is unclear whether disparities in mortality among stroke survivors exist long term. Therefore, the purpose of the current study is to describe rates of longer term mortality among stroke survivors (ie, beyond 30 days) and to determine whether socioeconomic disparities exist. Methods- This analysis included 1329 black and white participants, aged ≥45 years, enrolled between 2003 and 2007 in the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) who suffered a first stroke and survived at least 30 days after the event. Long-term mortality among stroke survivors was defined in person-years as time from 30 days after a first stroke to date of death or censoring. Mortality rate ratios (MRRs) were used to compare rates of poststroke mortality by demographic and socioeconomic characteristics. Results- Among adults who survived ≥30 days poststroke, the age-adjusted rate of mortality was 82.3 per 1000 person-years (95% CI, 75.4-89.2). Long-term mortality among stroke survivors was higher in older individuals (MRR for 75+ versus <65, 3.2; 95% CI, 2.6-4.1) and among men than women (MRR, 1.3; 95% CI, 1.1-1.6). It was also higher among those with less educational attainment (MRR for less than high-school versus college graduate, 1.5; 95% CI, 1.1-1.9), lower income (MRR for <$20k versus >50k, 1.4; 95% CI, 1.1-1.9), and lower neighborhood socioeconomic status (SES; MRR for low versus high neighborhood SES, 1.4; 95% CI, 1.1-1.7). There were no differences in age-adjusted rates of long-term poststroke mortality by race, rurality, or US region. Conclusions- Rates of long-term mortality among stroke survivors were higher among individuals with lower SES and among those residing in neighborhoods of lower SES. These results emphasize the need for improvements in long-term care poststroke, especially among individuals of lower SES.
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Affiliation(s)
- Tali Elfassy
- From the Division of Epidemiology, Department of Public Health Sciences (T.E., L.G., S.S., L.Z.), University of Miami, FL
| | - Leslie Grasset
- From the Division of Epidemiology, Department of Public Health Sciences (T.E., L.G., S.S., L.Z.), University of Miami, FL
| | - M Maria Glymour
- Department of Epidemiology and Biostatistics, University of California San Francisco (M.M.G.)
| | - Samuel Swift
- From the Division of Epidemiology, Department of Public Health Sciences (T.E., L.G., S.S., L.Z.), University of Miami, FL
| | - Lanyu Zhang
- From the Division of Epidemiology, Department of Public Health Sciences (T.E., L.G., S.S., L.Z.), University of Miami, FL
| | - George Howard
- Department of Biostatistics (G.H.), University of Alabama at Birmingham School of Public Health
| | - Virginia J Howard
- Department of Epidemiology (V.J.H.), University of Alabama at Birmingham School of Public Health
| | - Matthew Flaherty
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, OH (M.F.)
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine (T.R.), University of Miami, FL
| | - Theresa L Osypuk
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (T.L.O.)
| | - Adina Zeki Al Hazzouri
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (A.Z.A.H.)
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Gardener H, Leifheit EC, Lichtman JH, Wang Y, Wang K, Gutierrez CM, Ciliberti-Vargas MA, Dong C, Oluwole S, Robichaux M, Romano JG, Rundek T, Sacco RL. Racial/Ethnic Disparities in Mortality Among Medicare Beneficiaries in the FL - PR CR eSD Study. J Am Heart Assoc 2020; 8:e009649. [PMID: 30587062 PMCID: PMC6405703 DOI: 10.1161/jaha.118.009649] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Racial/ethnic disparities in acute stroke care may impact stroke outcomes. We compared outcomes by race/ethnicity among elderly Medicare beneficiaries in hospitals participating in the FL‐PR CReSD (Florida–Puerto Rico Collaboration to Reduce Stroke Disparities) registry with those in hospitals not participating in any quality improvement programs (non‐QI) in Florida and Puerto Rico (PR). Methods and Results The population included fee‐for‐service Medicare beneficiaries age 65+ in Florida and PR, discharged with primary diagnosis of ischemic stroke (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD‐9‐CM], codes 433, 434, 436) in 2010–2013. We used mixed logistic models to assess racial/ethnic differences in outcomes (in‐hospital, 30‐day, and 1‐year mortality, and 30‐day readmission) for CReSD and non‐QI hospitals, adjusted for demographic and clinical characteristics. The study included 62 CReSD hospitals (N=44 013, 84% white, 9% black, 4% Florida Hispanic, 1% PR Hispanic) and 113 non‐QI hospitals (N=14 422, 78% white, 7% black, 5% Florida Hispanic, 8% PR Hispanic). For patients treated at CReSD hospitals, there were no differences in risk‐adjusted in‐hospital mortality by race/ethnicity; blacks had lower 30‐day mortality versus whites (odds ratio, 0.86; 95% confidence interval, 0.77–0.97), but higher 30‐day readmission (hazard ratio, 1.09; 1.00–1.18) and 1‐year mortality (odds ratio, 1.13; 1.04–1.23); Florida Hispanics had lower 30‐day readmission (hazard ratio, 0.87; 0.78–0.98). PR Hispanic and black stroke patients treated at non‐QI hospitals had higher risk‐adjusted in‐hospital, 30‐day and 1‐year mortality, but similar 30‐day readmission versus whites treated in non‐QI hospitals. Conclusions Disparities in outcomes were less common in CReSD than non‐QI hospitals, suggesting the benefits of quality improvement programs, particularly those focusing on racial/ethnic disparities.
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Affiliation(s)
- Hannah Gardener
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
| | - Erica C Leifheit
- 2 Department of Epidemiology Yale School of Public Health New Haven CT
| | - Judith H Lichtman
- 2 Department of Epidemiology Yale School of Public Health New Haven CT
| | - Yun Wang
- 2 Department of Epidemiology Yale School of Public Health New Haven CT
| | - Kefeng Wang
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
| | - Carolina M Gutierrez
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
| | | | - Chuanhui Dong
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
| | - Sofia Oluwole
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
| | - Mary Robichaux
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
| | - Jose G Romano
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
| | - Tatjana Rundek
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
| | - Ralph L Sacco
- 1 Department of Neurology University of Miami Miller School of Medicine Miami FL
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Trends and Racial Differences in First Hospitalization for Stroke and 30-Day Mortality in the US Medicare Population From 1988 to 2013. Med Care 2019; 57:262-269. [PMID: 30870384 DOI: 10.1097/mlr.0000000000001079] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE The main purpose of this study was to determine whether there were temporal differences in the rates of first stroke hospitalizations and 30-day mortality after stroke between black and white Medicare enrollees. METHODS We used a 20% sample of Medicare beneficiaries aged 65 years or older and described the annual rate of first hospitalization for ischemic and hemorrhagic strokes from years 1988 to 2013, as well as 30-day mortality after stroke hospitalization. We used linear tests of trend to determine whether stroke rates changed over time, and tested the interaction term between race and year to determine whether trends differed by race. RESULTS We identified 1,009,057 incident hospitalizations for ischemic strokes and 147,817 for hemorrhagic strokes. Annual stroke hospitalizations decreased significantly over time for both blacks and whites, and in both stroke subtypes (P-values for all trend <0.001). Reductions in stroke rates were comparable between blacks and whites: among men, the odds ratio for the interaction term for race by year was 1.008 [95% confidence interval (CI), 1.004-1.012] for ischemic and 1.002 (95% CI, 0.999-1.004) for hemorrhagic; for women, it was 1.000 (95% CI, 0.997-1.004) for ischemic and 1.003 (95% CI, 1.001-1.006) for hemorrhagic. Both black men and women experienced greater improvements over time in terms of 30-day mortality after strokes. CONCLUSIONS Rates of incident hospitalizations for ischemic and hemorrhagic strokes fell significantly over a 25-year period for both black and white Medicare enrollees. Black men and women experienced greater improvements in 30-day mortality after both ischemic and hemorrhagic stroke.
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15
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Hardy RY, Lindrooth RC, Peach RK, Ellis C. Urban-Rural Differences in Service Utilization and Costs of Care for Racial-Ethnic Groups Hospitalized With Poststroke Aphasia. Arch Phys Med Rehabil 2019; 100:254-260. [DOI: 10.1016/j.apmr.2018.06.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 06/21/2018] [Accepted: 06/26/2018] [Indexed: 11/26/2022]
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Chatterjee A, Chen M, Gialdini G, Reznik ME, Murthy S, Kamel H, Merkler AE. Trends in Tracheostomy After Stroke: Analysis of the 1994 to 2013 National Inpatient Sample. Neurohospitalist 2018; 8:171-176. [PMID: 30245766 PMCID: PMC6146345 DOI: 10.1177/1941874418764815] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Real-world data on long-term trends in the use of tracheostomy after stroke are limited. METHODS Patients who underwent tracheostomy for acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), or subarachnoid hemorrhage (SAH) were identified from the 1994 through 2013 releases of the National Inpatient Sample using previously validated International Classification of Diseases, Ninth Revision, Clinical Modification codes. Survey weights were used to report nationally representative estimates. Our primary outcome was the trend in tracheostomy use during the index stroke hospitalization over the last 20 years. Additionally, we evaluated trends in in-hospital mortality, timing of placement, and discharge disposition among patients who received a tracheostomy. RESULTS We identified 9.9 million patients with AIS, ICH, or SAH in the United States from 1994 to 2013, of which 170 255 (1.7%; 95% confidence interval [CI]: 1.6%-1.8%) underwent tracheostomy. Among all patients with stroke, tracheostomy use increased from 1.2% (95% CI: 1.1%-1.4%) in 1994 to 1.9% (95% CI: 1.8%-2.1%) in 2013, with similar trends across stroke types. From 1994 to 2013, the timing of tracheostomy decreased from 16.5 days (95% CI: 14.9-18.1 days) to 10.3 days (95% CI: 9.9-10.8 days) after mechanical ventilation. In-hospital mortality decreased from 32.6% (95% CI: 29.1%-36.1%) to 13.8% (95% CI: 12.3%-15.3%) among tracheostomy patients; however, discharge to a nonacute care facility increased from 42.9% (95% CI: 38.0%-47.8%) to 83.3% (95% CI: 81.6%-85.0%) and home discharge declined from 9.3% (95% CI: 7.3%-11.3%) to 2.9% (95% CI: 2.1%-3.7%). CONCLUSION Over the past 2 decades, tracheostomy use has increased among patients with stroke. This increase was associated with earlier placement, reduced in-hospital mortality, and lower rates of home discharge.
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Affiliation(s)
- Abhinaba Chatterjee
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Monica Chen
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Gino Gialdini
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | | | - Santosh Murthy
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Hooman Kamel
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Alexander E. Merkler
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
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17
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Li H, Guo J, Wang A, Zhang D, Luo Y, Wang W, Li X, Tang Z, Guo X. Assessment of risk factors for cerebrovascular disease among the elderly in Beijing: A 23-year community-based prospective study in China. Arch Gerontol Geriatr 2018; 79:39-44. [PMID: 30096587 DOI: 10.1016/j.archger.2018.07.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 07/12/2018] [Accepted: 07/27/2018] [Indexed: 11/18/2022]
Abstract
INTRODUCTION There are few studies on how lifestyle factors and mental conditions modulate the cerebrovascular diseases (CBVD) mortality risk are rare in the Asian elderly. AIM To comprehensively assess the impact of lifestyle factors and mental conditions on the mortality risk of CBVD among the Chinese older adults. MATERIAL AND METHODS This community-based prospective cohort study was based on the Beijing Longitudinal Study of Aging. We included 2101 participants aged ≥55 years who were interviewed in August 1992 and followed until December 2015. Baseline sociodemographic variables, lifestyle behaviors, and medical conditions were collected using a standard questionnaire. In addition, biochemical parameters, the Activities of Daily Living (ADL) scale, Center for Epidemiological Studies Depression (CES-D) scale, and Mini-Mental State Examination (MMSE) were performed. Hazard ratio (HR) and 95% confidence intervals (CI) was estimated from the competing risk model. RESULTS During the follow-up period, 576 (27.42%) CBVD events were documented. Multivariable analysis showed that hypertension (HR = 2.331, 95% CI = 1.652-3.288,P < 0.001), depression (HR=2.331, 95% CI=1.652-3.288, P < 0.001), cognitive impairment (HR=1.382, 95% CI=1.132-1.689, P < 0.001), and coronary heart diseases (HR=1.360, 95% CI=1.095-1.689, P = 0.005) were independently associated with CBVD, while body mass index, fasting blood glucose, triglycerides, drinking, and smoking were not associated with CBVD (all P > 0.05). CONCLUSIONS Males were at higher risk of CBVD than females. Age, gender, hypertension, cognitive impairment, and depression were associated with CBVD among the elderly in Beijing, China.
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Affiliation(s)
- Haibin Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Jin Guo
- Greenwood Medical Company, 300 Highway Burwood, Melbourne, Victoria, Australia
| | - Anxin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Deqiang Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Wei Wang
- Global Health and Genomics, School of Medical Sciences and Health, Edith Cowan University, Perth, Western Australia, Australia
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Victoria, Australia
| | - Zhe Tang
- Beijing Geriatric Healthcare Center, Xuan Wu Hospital, Capital Medical University, Beijing, China.
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
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18
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Adegunsoye A, Oldham JM, Bellam SK, Chung JH, Chung PA, Biblowitz KM, Montner S, Lee C, Hsu S, Husain AN, Vij R, Mutlu G, Noth I, Churpek MM, Strek ME. African-American race and mortality in interstitial lung disease: a multicentre propensity-matched analysis. Eur Respir J 2018; 51:13993003.00255-2018. [PMID: 29724923 DOI: 10.1183/13993003.00255-2018] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Accepted: 04/24/2018] [Indexed: 11/05/2022]
Abstract
We studied whether African-American race is associated with younger age and decreased survival time at diagnosis of interstitial lung disease (ILD).We performed a multicentre, propensity score-matched analysis of patients with an ILD diagnosis followed at five US hospitals between 2006 and 2016. African-Americans were matched with patients of other races based on a time-dependent propensity score calculated from multiple patient, physiological, diagnostic and hospital characteristics. Multivariable logistic regression models were used. All-cause mortality and hospitalisations were compared between race-stratified patient cohorts with ILD, and sensitivity analyses were performed.The study included 1640 patients with ILD, 13% of whom were African-American, followed over 5041 person-years. When compared with patients of other races, African-Americans with ILD were younger at diagnosis (56 years versus 67 years), but in the propensity-matched analyses had greater survival (hazard ratio 0.46, 95% CI 0.28-0.77; p=0.003) despite similar risk of respiratory hospitalisations (relative risk 1.04, 95% CI 0.83-1.31; p=0.709), and similar GAP-ILD (gender-age-physiology-ILD) scores at study entry. Sensitivity analyses in a separate cohort of 9503 patients with code-based ILD diagnosis demonstrated a similar association of baseline demographic characteristics with all-cause mortality.We conclude that African-Americans demonstrate a unique phenotype associated with younger age at ILD diagnosis and perhaps longer survival time.
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Affiliation(s)
- Ayodeji Adegunsoye
- Section of Pulmonary and Critical Care, Dept of Medicine, The University of Chicago, Chicago, IL, USA
| | - Justin M Oldham
- Division of Pulmonary, Critical Care and Sleep Medicine, Dept of Medicine, University of California at Davis, Davis, CA, USA
| | - Shashi K Bellam
- Division of Pulmonary and Critical Care, Dept of Medicine, NorthShore University HealthSystem, Evanston, IL, USA
| | | | - Paul A Chung
- Dept of Medicine, NorthShore University HealthSystem, Evanston, IL, USA
| | | | - Steven Montner
- Dept of Radiology, The University of Chicago, Chicago, IL, USA
| | - Cathryn Lee
- Section of Pulmonary and Critical Care, Dept of Medicine, The University of Chicago, Chicago, IL, USA
| | - Scully Hsu
- Section of Pulmonary and Critical Care, Dept of Medicine, The University of Chicago, Chicago, IL, USA
| | - Aliya N Husain
- Dept of Pathology, The University of Chicago, Chicago, IL, USA
| | - Rekha Vij
- Section of Pulmonary and Critical Care, Dept of Medicine, The University of Chicago, Chicago, IL, USA
| | - Gokhan Mutlu
- Section of Pulmonary and Critical Care, Dept of Medicine, The University of Chicago, Chicago, IL, USA
| | - Imre Noth
- Section of Pulmonary and Critical Care, Dept of Medicine, The University of Chicago, Chicago, IL, USA
| | - Matthew M Churpek
- Section of Pulmonary and Critical Care, Dept of Medicine, The University of Chicago, Chicago, IL, USA.,Dept of Public Health Sciences, The University of Chicago, Chicago, IL, USA.,Both authors contributed equally
| | - Mary E Strek
- Section of Pulmonary and Critical Care, Dept of Medicine, The University of Chicago, Chicago, IL, USA.,Both authors contributed equally
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Is 30-Day Posthospitalization Mortality Lower Among Racial/Ethnic Minorities?: A Reexamination. Med Care 2018; 56:665-672. [PMID: 29877955 DOI: 10.1097/mlr.0000000000000938] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Multiple studies have reported that risk-adjusted rates of 30-day mortality after hospitalization for an acute condition are lower among blacks compared with whites. OBJECTIVE To examine if previously reported lower mortality for minorities, relative to whites, is accounted for by adjustment for do-not-resuscitate status, potentially unconfirmed admission diagnosis, and differential risk of hospitalization. RESEARCH DESIGN Using inpatient discharge and vital status data for patients aged 18 and older in California, we examined all admissions from January 1, 2010 to June 30, 2011 for acute myocardial infarction, heart failure, pneumonia, acute stroke, gastrointestinal bleed, and hip fracture and estimated relative risk of mortality for Hispanics, non-Hispanic blacks, non-Hispanic Asians, and non-Hispanic whites. Multiple mortality measures were examined: inpatient, 30-, 90-, and 180 day. Adding census data we estimated population risks of hospitalization and hospitalization with inpatient death. RESULTS Across all mortality outcomes, blacks had lower mortality rate, relative to whites even after exclusion of patients with do-not-resuscitate status and potentially unconfirmed diagnosis. Compared with whites, the population risk of hospitalization was 80% higher and risk of hospitalization with inpatient mortality was 30% higher among blacks. Among Hispanics and Asians, disparities varied with mortality measure. CONCLUSIONS Lower risk of posthospitalization mortality among blacks, relative to whites, may be associated with higher rate of hospitalizations and differences in unobserved patient acuity. Disparities for Hispanics and Asians, relative to whites, vary with the mortality measure used.
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Thompson MP, Zhao X, Bekelis K, Gottlieb DJ, Fonarow GC, Schulte PJ, Xian Y, Lytle BL, Schwamm LH, Smith EE, Reeves MJ. Regional Variation in 30-Day Ischemic Stroke Outcomes for Medicare Beneficiaries Treated in Get With The Guidelines-Stroke Hospitals. Circ Cardiovasc Qual Outcomes 2018; 10:CIRCOUTCOMES.117.003604. [PMID: 28798017 DOI: 10.1161/circoutcomes.117.003604] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 07/06/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND We explored regional variation in 30-day ischemic stroke mortality and readmission rates and the extent to which regional differences in patients, hospitals, healthcare resources, and a quality of care composite care measure explain the observed variation. METHODS AND RESULTS This ecological analysis aggregated patient and hospital characteristics from the Get With The Guidelines-Stroke registry (2007-2011), healthcare resource data from the Dartmouth Atlas of Health Care (2006), and Medicare fee-for-service data on 30-day mortality and readmissions (2007-2011) to the hospital referral region (HRR) level. We used linear regression to estimate adjusted HRR-level 30-day outcomes, to identify HRR-level characteristics associated with 30-day outcomes, and to describe which characteristics explained variation in 30-day outcomes. The mean adjusted HRR-level 30-day mortality and readmission rates were 10.3% (SD=1.1%) and 13.1% (SD=1.1%), respectively; a modest, negative correlation (r=-0.17; P=0.003) was found between one another. Demographics explained more variation in readmissions than mortality (25% versus 6%), but after accounting for demographics, comorbidities accounted for more variation in mortality compared with readmission rates (17% versus 7%). The combination of hospital characteristics and healthcare resources explained 11% and 16% of the variance in mortality and readmission rates, beyond patient characteristics. Most of the regional variation in mortality (65%) and readmission (50%) rates remained unexplained. CONCLUSIONS Thirty-day mortality and readmission rates vary substantially across HRRs and exhibit an inverse relationship. While regional variation in 30-day outcomes were explained by patient and hospital factors differently, much of the regional variation in both outcomes remains unexplained.
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Affiliation(s)
- Michael P Thompson
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.).
| | - Xin Zhao
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Kimon Bekelis
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Daniel J Gottlieb
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Gregg C Fonarow
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Phillip J Schulte
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Ying Xian
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Barbara L Lytle
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Lee H Schwamm
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Eric E Smith
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
| | - Mathew J Reeves
- From the Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN (M.P.T.); Duke Clinical Research Institute, Durham, NC (X.Z., Y.X., B.L.L.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (K.B., D.J.G.); Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA (G.C.F.); Department of Health Science Research, Mayo Clinic, Rochester, MN (P.J.S.); Department of Neurology, Duke University Medical Center, Durham, NC (Y.X.); Department of Neurology, Massachusetts General Hospital, Boston, MA (L.H.S.); Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada (E.E.S.); and Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI (M.J.R.)
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Family discussions on life-sustaining interventions in neurocritical care. HANDBOOK OF CLINICAL NEUROLOGY 2017; 140:397-408. [PMID: 28187812 DOI: 10.1016/b978-0-444-63600-3.00022-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Approximately 20% of all deaths in the USA occur in the intensive care unit (ICU) and the majority of ICU deaths involves decision of de-escalation of life-sustaining interventions. Life-sustaining interventions may include intubation and mechanical ventilation, artificial nutrition and hydration, antibiotic treatment, brain surgery, or vasoactive support. Decision making about goals of care can be defined as an end-of-life communication and the decision-making process between a clinician and a patient (or a surrogate decision maker if the patient is incapable) in an institutional setting to establish a plan of care. This process includes deciding whether to use life-sustaining treatments. Therefore, family discussion is a critical element in the decision-making process throughout the patient's stay in the neurocritical care unit. A large part of care in the neurosciences intensive care unit is discussion of proportionality of care. This chapter provides a stepwise approach to hold these conferences and discusses ways to do it effectively.
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Racial Differences in Outcomes after Acute Ischemic Stroke Hospitalization in the United States. J Stroke Cerebrovasc Dis 2016; 25:1970-7. [DOI: 10.1016/j.jstrokecerebrovasdis.2016.03.049] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 01/22/2016] [Accepted: 03/27/2016] [Indexed: 11/20/2022] Open
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Chang CC, Chen TL, Chiu HE, Hu CJ, Yeh CC, Tsai CC, Lane HL, Sun MF, Sung FC, Liao CC, Lin JG, Shih CC. Outcomes after stroke in patients receiving adjuvant therapy with traditional Chinese medicine: A nationwide matched interventional cohort study. JOURNAL OF ETHNOPHARMACOLOGY 2016; 177:46-52. [PMID: 26593214 DOI: 10.1016/j.jep.2015.11.028] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Revised: 11/12/2015] [Accepted: 11/15/2015] [Indexed: 06/05/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE The use of traditional Chinese medicine (TCM) was high in stroke patients but limited information was available on whether TCM is effective on post-stroke outcomes. The aim of this study is to compare the outcomes of stroke patients with and without receiving adjuvant TCM therapy. MATERIALS AND METHODS Using Taiwan's National Health Insurance Research Database, we conducted a nationwide cohort study and selected hospitalized stroke patients receiving routine care with (n=1734) and without (n=1734) in-hospital adjuvant TCM therapy by propensity score matching procedures. The adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of poststroke complications and mortality associated with in-hospital adjuvant TCM therapy were calculated. The use of medical resource was also compared between stroke patients with and without adjuvant TCM therapy. RESULTS Compared with hospitalized stroke patients receiving routine care alone, hospitalized stroke patients receiving routine care and adjuvant TCM therapy exhibited decreased risks of urinary tract infection (HR 0.82, 95% CI 0.68-1.00), pneumonia (HR 0.60, 95% CI 0.47-0.76), epilepsy (HR 0.67, 95% CI 0.49-0.96), gastrointestinal hemorrhage (HR 0.68, 95% CI 0.47-0.98), and mortality (HR 0.37, 95% CI 0.19-0.70) within 3 months after stroke admission. The corresponding 6-month HRs for urinary tract infection, pneumonia, gastrointestinal hemorrhage, and mortality were 0.83, 0.63, 0.64, and 0.40, respectively. Less use and expenditure of hospitalization were found in those received adjuvant TCM therapy. CONCLUSIONS Hospitalized stroke patients who received routine care and adjuvant TCM therapy exhibited reduced adverse outcomes after admission within a 6-month follow-up period.
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Affiliation(s)
- Chuen-Chau Chang
- Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan; Health Policy Research Center, Taipei Medical University Hospital, Taipei, Taiwan; School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ta-Liang Chen
- Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan; Health Policy Research Center, Taipei Medical University Hospital, Taipei, Taiwan; School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hsienhsueh Elley Chiu
- Chiu's Moxipuncture and Chinese Medicine Clinic, Kaohsiung, Taiwan; School of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung, Taiwan
| | - Chaur-Jong Hu
- Department of Neurology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Chun-Chieh Yeh
- Department of Surgery, China Medical University Hospital, Taichung, Taiwan; Department of Surgery, University of Illinois, Chicago, IL, USA
| | - Chin-Chuan Tsai
- School of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung, Taiwan
| | - Hsin-Long Lane
- School of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung, Taiwan
| | - Mao-Feng Sun
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Fung-Chang Sung
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Chien-Chang Liao
- Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan; Health Policy Research Center, Taipei Medical University Hospital, Taipei, Taiwan; School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Jaung-Geng Lin
- School of Chinese Medicine, China Medical University, Taichung, Taiwan
| | - Chun-Chuan Shih
- School of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung, Taiwan; Ph.D. Program for the Clinical Drug Discovery from Botanical Herbs, Taipei Medical University, Taiwan.
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Howard G, Howard VJ. Stroke Disparities. Stroke 2016. [DOI: 10.1016/b978-0-323-29544-4.00014-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Corneal abrasion in hysterectomy and prostatectomy: role of laparoscopic and robotic assistance. Anesthesiology 2015; 122:994-1001. [PMID: 25734923 DOI: 10.1097/aln.0000000000000630] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Radical prostatectomy (RP) is most commonly performed laparoscopically with a robot (robotic-assisted laparoscopic radical prostatectomy, R/PROST). Hysterectomy, which may be open hysterectomy (O/HYST) or laparoscopic hysterectomy (L/HYST), has been increasingly frequently done via robot (R/HYST). Small case series suggest increased corneal abrasions (CAs) with less invasive techniques. METHODS The authors identified RP (166,942), O/HYST (583,298), or L/HYST (216,890) discharges with CA in the Nationwide Inpatient Sample (2000-2011). For 2009-2011, they determined odds ratios (ORs) and 95% confidence intervals (CIs) for CA, in R/PROST, non-R/PROST, L/HYST, O/HYST, and R/HYST. Uni- and multivariate models studied CA risk depending on surgical procedure, age, race, year, chronic illness, and malignancy. RESULTS In 2000-2011, 0.18% RP, 0.13% L/HYST, and 0.03% O/HYST sustained CA. Compared with 17,554 non-R/PROSTs (34 abrasions, 0.19%) in 2009-2011, OR was not significantly higher in 28,521 R/PROSTs (99, 0.35%; OR 1.508; CI 0.987 to 2.302; P < 0.057). CA significantly increased in L/HYST (70/51,323; 0.136%) versus O/HYST (70/191,199; 0.037%; OR 3.821; CI 2.594 to 5.630; P < 0.0001), further increasing in R/HYST (63/21, 213; 0.297%; OR 6.505; CI 4.323 to 9.788; P < 0.0001). For hysterectomy, risk of CA increased with age (OR 1.020; CI 1.007 to 1.034; P < 0.003) and number of chronic conditions (OR 1.139; CI 1.065 to 1.219; P < 0.0001). CA risk was likewise elevated in R/HYST with number of chronic conditions. Being African American significantly decreased CA risk in R/PROST and in R/HYST or L/HYST. CONCLUSIONS L/HYST increased CA nearly four-fold, and R/HYST approximately 6.5-fold versus O/HYST. Identifiable preoperative factors are associated with either increased risk (age, chronic conditions) or decreased risk (race).
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Levine DA, Kabeto M, Langa KM, Lisabeth LD, Rogers MAM, Galecki AT. Does Stroke Contribute to Racial Differences in Cognitive Decline? Stroke 2015; 46:1897-902. [PMID: 25999389 DOI: 10.1161/strokeaha.114.008156] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 04/21/2015] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE It is unknown whether blacks' elevated risk of dementia is because of racial differences in acute stroke, the impact of stroke on cognitive health, or other factors. We investigated whether racial differences in cognitive decline are explained by differences in the frequency or impact of incident stroke between blacks and whites, controlling for baseline cognition. METHODS Among 4908 black and white participants aged ≥65 years free of stroke and cognitive impairment in the nationally representative Health and Retirement Study with linked Medicare data (1998-2010), we examined longitudinal changes in global cognition (modified version of the Telephone Interview for Cognitive Status) by race, before and after adjusting for time-dependent incident stroke followed by a race-by-incident stroke interaction term, using linear mixed-effects models that included fixed effects of participant demographics, clinical factors, and cognition, and random effects for intercept and slope for time. RESULTS We identified 34 of 453 (7.5%) blacks and 300 of 4455 (6.7%) whites with incident stroke over a mean (SD) of 4.1 (1.9) years of follow-up (P=0.53). Blacks had greater cognitive decline than whites (adjusted difference in modified version of the Telephone Interview for Cognitive Status score, 1.47 points; 95% confidence interval, 1.21 to 1.73 points). With further adjustment for cumulative incidence of stroke, the black-white difference in cognitive decline persisted. Incident stroke was associated with a decrease in global cognition (1.21 points; P<0.001) corresponding to ≈7.9 years of cognitive aging. The effect of incident stroke on cognition did not statistically differ by race (P=0.52). CONCLUSIONS In this population-based cohort of older adults, incident stroke did not explain black-white differences in cognitive decline or impact cognition differently by race.
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Affiliation(s)
- Deborah A Levine
- From the Department of Internal Medicine (D.A.L., M.K., K.M.L., M.A.M.R., A.T.G.), Stroke Program (D.A.L., L.D.L.), Institute for Social Research (K.M.L.), Department of Epidemiology (L.D.L.), Department of Biostatistics (A.T.G.), University of Michigan, Ann Arbor; and Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI (D.A.L., K.M.L.).
| | - Mohammed Kabeto
- From the Department of Internal Medicine (D.A.L., M.K., K.M.L., M.A.M.R., A.T.G.), Stroke Program (D.A.L., L.D.L.), Institute for Social Research (K.M.L.), Department of Epidemiology (L.D.L.), Department of Biostatistics (A.T.G.), University of Michigan, Ann Arbor; and Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI (D.A.L., K.M.L.)
| | - Kenneth M Langa
- From the Department of Internal Medicine (D.A.L., M.K., K.M.L., M.A.M.R., A.T.G.), Stroke Program (D.A.L., L.D.L.), Institute for Social Research (K.M.L.), Department of Epidemiology (L.D.L.), Department of Biostatistics (A.T.G.), University of Michigan, Ann Arbor; and Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI (D.A.L., K.M.L.)
| | - Lynda D Lisabeth
- From the Department of Internal Medicine (D.A.L., M.K., K.M.L., M.A.M.R., A.T.G.), Stroke Program (D.A.L., L.D.L.), Institute for Social Research (K.M.L.), Department of Epidemiology (L.D.L.), Department of Biostatistics (A.T.G.), University of Michigan, Ann Arbor; and Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI (D.A.L., K.M.L.)
| | - Mary A M Rogers
- From the Department of Internal Medicine (D.A.L., M.K., K.M.L., M.A.M.R., A.T.G.), Stroke Program (D.A.L., L.D.L.), Institute for Social Research (K.M.L.), Department of Epidemiology (L.D.L.), Department of Biostatistics (A.T.G.), University of Michigan, Ann Arbor; and Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI (D.A.L., K.M.L.)
| | - Andrzej T Galecki
- From the Department of Internal Medicine (D.A.L., M.K., K.M.L., M.A.M.R., A.T.G.), Stroke Program (D.A.L., L.D.L.), Institute for Social Research (K.M.L.), Department of Epidemiology (L.D.L.), Department of Biostatistics (A.T.G.), University of Michigan, Ann Arbor; and Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI (D.A.L., K.M.L.)
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Haring RS, Narang K, Canner JK, Asemota AO, George BP, Selvarajah S, Haider AH, Schneider EB. Traumatic brain injury in the elderly: morbidity and mortality trends and risk factors. J Surg Res 2015; 195:1-9. [PMID: 25724764 DOI: 10.1016/j.jss.2015.01.017] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Revised: 01/02/2015] [Accepted: 01/09/2015] [Indexed: 10/24/2022]
Abstract
An estimated 1.7 million people sustain a traumatic brain injury (TBI) annually in the United States. We sought to examine factors contributing to mortality among TBI patients aged ≥65 y in the United States. TBI data from the Nationwide Inpatient Sample were combined from 2000-2010. Patients were stratified by age, sex, mechanism of injury, payer status, comorbidity, injury severity, and other factors. Odds of death were explored using an adjusted multivariable logistic regression. A total of 950,132 TBI-related hospitalizations and 107,666 TBI-related deaths occurred among adults aged ≥65 y from 2000-2010. The most common mechanism of injury was falling, and falls were more common among the oldest age groups. Logistic regression analysis showed highest odds of death among male patients, those whose mechanism of injury was motor vehicle related, patients with three or more comorbidities, and patients who were designated as self-paying.
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Affiliation(s)
- R Sterling Haring
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Department of Osteopathic Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, Florida; Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), Johns Hopkins University, Baltimore, Maryland
| | - Kunal Narang
- Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), Johns Hopkins University, Baltimore, Maryland
| | - Joseph K Canner
- Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), Johns Hopkins University, Baltimore, Maryland
| | - Anthony O Asemota
- Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), Johns Hopkins University, Baltimore, Maryland; Department of Neurology and Neurosurgery, Johns Hopkins University, Baltimore, Maryland
| | - Benjamin P George
- Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), Johns Hopkins University, Baltimore, Maryland; Department of Neurology, School of Medicine and Dentistry, University of Rochester, Rochester, New York
| | - Shalini Selvarajah
- Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), Johns Hopkins University, Baltimore, Maryland
| | - Adil H Haider
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), Johns Hopkins University, Baltimore, Maryland
| | - Eric B Schneider
- Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), Johns Hopkins University, Baltimore, Maryland.
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Xian Y, Holloway RG, Smith EE, Schwamm LH, Reeves MJ, Bhatt DL, Schulte PJ, Cox M, Olson DM, Hernandez AF, Lytle BL, Anstrom KJ, Fonarow GC, Peterson ED. Racial/Ethnic differences in process of care and outcomes among patients hospitalized with intracerebral hemorrhage. Stroke 2014; 45:3243-50. [PMID: 25213344 DOI: 10.1161/strokeaha.114.005620] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Although racial/ethnic differences in care are pervasive in many areas of medicine, little is known whether intracerebral hemorrhage (ICH) care processes or outcomes differ by race/ethnicity. METHODS We analyzed 123 623 patients with ICH (83 216 white, 22 147 black, 10 519 Hispanic, and 7741 Asian) hospitalized at 1199 Get With The Guidelines-Stroke hospitals between 2003 and 2012. Multivariable logistic regression with generalized estimating equation was used to evaluate the association among race, stroke performance measures, and in-hospital outcomes. RESULTS Relative to white patients, black, Hispanic, and Asian patients were significantly younger, but more frequently had more severe stroke (median National Institutes of Health Stroke Scale, 9, 10, 10, and 11, respectively; P<0.001). After adjustment for both patient and hospital-level characteristics, black patients were more likely to receive deep venous thrombosis prophylaxis, rehabilitation assessment, dysphagia screening, and stroke education, but less likely to have door to computed tomographic time ≤25 minutes and smoking cessation counseling than whites. Both Hispanic and Asian patients had higher odds of dysphagia screening but lower odds of smoking cessation counseling. In-hospital all-cause mortality was lower for blacks (23.0%), Hispanics (22.8%), and Asians (25.3%) than for white patients (27.6%). After risk adjustment, all minority groups had lower odds of death, of receiving comfort measures only or of being discharged to hospice. In contrast, they were more likely to exceed the median length of stay when compared with white patients. CONCLUSIONS Although individual quality indicators in ICH varied by race/ethnicity, black, Hispanic, and Asian patients with ICH had lower risk-adjusted in-hospital mortality than white patients with ICH.
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Affiliation(s)
- Ying Xian
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.).
| | - Robert G Holloway
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Eric E Smith
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Lee H Schwamm
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Mathew J Reeves
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Deepak L Bhatt
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Phillip J Schulte
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Margueritte Cox
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - DaiWai M Olson
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Adrian F Hernandez
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Barbara L Lytle
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Kevin J Anstrom
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Gregg C Fonarow
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
| | - Eric D Peterson
- From the Duke Clinical Research Institute, Durham, NC (Y.X., P.J.S., M.C., A.F.H., B.L.L., E.D.P.); Department of Neurology, University of Rochester Medical Center, NY (R.G.H.); Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (E.E.S.); Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.); Department of Epidemiology, Michigan State University, East Lansing (M.J.R.); Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (D.L.B.); Neurology & Neurotherapeutics, Neurological Surgery, University of Texas Southwestern Medical Center, Dallas (D.M.O.); and Division of Cardiology, University of California, Los Angeles (G.C.F.)
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Abstract
PURPOSE OF REVIEW Medical decision-making in stroke patients can be complex and often involves ethical challenges, from the perspective of healthcare providers as well as patients and their families. Awareness of these challenges and knowledge of current ethical topics in stroke may improve the quality of care provided to stroke patients. RECENT FINDINGS Predictive scores are increasingly available to estimate prognosis following stroke, though their usefulness in decision-making for individual patients remains unclear. Medical decisions requiring a surrogate decision-maker can be challenging; surrogates may also be susceptible to systematic biases in their decision-making. Variations in care are common and possibly related to under-utilization or over-utilization of resources. However, patient preferences may explain some of the variability as well. Early mortality may be related to patient and family preferences regarding life-sustaining measures rather than the provision of care that is not well tolerated or evidence-based. SUMMARY Ethical challenges are common in the care of stroke patients. An effective understanding of these topics is essential for clinicians to deliver patient-centered, preference-sensitive care.
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George BP, Kelly AG, Schneider EB, Holloway RG. Current practices in feeding tube placement for US acute ischemic stroke inpatients. Neurology 2014; 83:874-82. [PMID: 25098538 DOI: 10.1212/wnl.0000000000000764] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE We sought to identify current US hospital practices for feeding tube placement in ischemic stroke. METHODS In a retrospective observational study, we examined the frequency of feeding tube placement among hospitals in the Nationwide Inpatient Sample with ≥30 adult ischemic stroke admissions annually with length of stay greater than 3 days. We examined trends from 2004 to 2011 and predictors using data from more recent years (2008-2011). We used multilevel multivariable regression models accounting for a hospital random effect, adjusted for patient-level and hospital-level factors to predict feeding tube placement. RESULTS Feeding tube insertion rates did not change from 2004 to 2011 (8.1 vs 8.4 per 100 admissions; p trend = 0.11). Among 1,540 hospitals with 164,408 stroke hospitalizations from 2008 to 2011, a feeding tube was placed 8.8% of the time (n = 14,480). Variation in the rate of feeding tube placement was high, from 0% to 26% between hospitals (interquartile range 4.8%-11.2%). In the subset with available race/ethnicity data (n = 88,385), after controlling for patient demographics, socioeconomics, and comorbidities, hospital factors associated with feeding tube placement included stroke volume (odds ratio [OR] 1.28 highest vs lowest quartile; 95% confidence interval [CI] 1.10-1.49), for-profit status (OR 1.13 vs nonprofit; 95% CI 1.01-1.25), and intubation use (OR 1.66 highest vs lowest quartile; 95% CI 1.47-1.87). In addition, hospitals with higher rates of black/Hispanic stroke admissions had increased risk of feeding tube placement (OR 1.28 highest vs lowest quartile; 95% CI 1.14-1.44). CONCLUSIONS Variation in feeding tube insertion rates across hospitals is large. Differences across hospitals may be partly explained by external factors beyond the patient-centered decision to insert a feeding tube.
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Affiliation(s)
- Benjamin P George
- From the Department of Neurology (A.G.K., R.G.H.), the University of Rochester School of Medicine and Dentistry (B.P.G.), NY; and the Center for Surgical Trials and Outcomes Research, Department of Surgery (E.B.S.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Adam G Kelly
- From the Department of Neurology (A.G.K., R.G.H.), the University of Rochester School of Medicine and Dentistry (B.P.G.), NY; and the Center for Surgical Trials and Outcomes Research, Department of Surgery (E.B.S.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Eric B Schneider
- From the Department of Neurology (A.G.K., R.G.H.), the University of Rochester School of Medicine and Dentistry (B.P.G.), NY; and the Center for Surgical Trials and Outcomes Research, Department of Surgery (E.B.S.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Robert G Holloway
- From the Department of Neurology (A.G.K., R.G.H.), the University of Rochester School of Medicine and Dentistry (B.P.G.), NY; and the Center for Surgical Trials and Outcomes Research, Department of Surgery (E.B.S.), Johns Hopkins University School of Medicine, Baltimore, MD.
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Abstract
OBJECTIVE To summarize trends in status epilepticus (SE) in the United States by age, race, sex, admission source, disposition, incidence rates, and mortality. METHODS Data from US National Hospital Discharge Survey were used from 1979 to 2010 to identify discharges with SE and common etiologies and complications of SE using International Classification of Diseases, 9th Revision, Clinical Modifications codes. Temporal trends in the incidence and in-hospital mortality of SE were examined with respect to age, sex, and race. RESULTS We identified 760,117 discharges with SE over 32 years. The incidence of SE increased from 3.5 to 12.5/100,000 between 1979 and 2010, without a significant change in in-hospital mortality. Higher incidence, earlier age of onset, and higher mortality were observed among males. Age stratification revealed a "U-shaped" distribution with higher incidence at age <10 years (14.3/100,000) and age >50 years (approaching 28.4/100,000). In-hospital mortality, however, was the lowest (2.6 %) at age <10 years and approached 20.2 % with age ≥80 years. The incidence of SE was higher among blacks (13.7/100,000), compared to whites (6.9/100,000) and other races (7.4/100,000). Mortality, however, was lower among blacks (7.2 %) compared to whites and other races (9.8 and 9.2 %, respectively). Black men had the highest incidence (15.0/100,000), relatively younger age of onset (39.3 years) and the lowest mortality (5.6 %). A net temporal decline in the reported prevalence of epilepsy, central nervous system infections, and traumatic brain injury was noted among SE cohort. CONCLUSIONS The incidence of SE increased nearly fourfold with relatively unchanged mortality. Gender and racial disparities exist in the incidence of SE, and age is an important predictor of mortality.
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Affiliation(s)
- Bhavpreet S Dham
- Department of Neurology, Cooper University Hospital, 3 Cooper Plaza, Camden, NJ, USA,
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Bekelis K, Roberts DW, Zhou W, Skinner JS. Fragmentation of care and the use of head computed tomography in patients with ischemic stroke. Circ Cardiovasc Qual Outcomes 2014; 7:430-6. [PMID: 24714599 PMCID: PMC4236029 DOI: 10.1161/circoutcomes.113.000745] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 03/13/2014] [Indexed: 12/15/2022]
Abstract
BACKGROUND Computed tomographic (CT) scans are central diagnostic tests for ischemic stroke. Their inefficient use is a negative quality measure tracked by the Centers for Medicare and Medicaid Services. METHODS AND RESULTS We performed a retrospective analysis of Medicare fee-for-service claims data for adults admitted for ischemic stroke from 2008 to 2009, with 1-year follow-up. The outcome measures were risk-adjusted rates of high-intensity CT use (≥4 head CT scans) and risk- and price-adjusted Medicare expenditures in the year after admission. The average number of head CT scans in the year after admission, for the 327 521 study patients, was 1.94, whereas 11.9% had ≥4. Risk-adjusted rates of high-intensity CT use ranged from 4.6% (Napa, CA) to 20.0% (East Long Island, NY). These rates were 2.6% higher for blacks than for whites (95% confidence interval, 2.1%-3.1%), with considerable regional variation. Higher fragmentation of care (number of different doctors seen) was associated with high-intensity CT use. Patients living in the top quintile regions of fragmentation experienced a 5.9% higher rate of high-intensity CT use, with the lowest quintile as reference; the corresponding odds ratio was 1.77 (95% confidence interval, 1.71-1.83). Similarly, 1-year risk- and price-adjusted expenditures exhibited considerable regional variation, ranging from $31 175 (Salem, MA) to $61 895 (McAllen, TX). Regional rates of high-intensity CT scans were positively associated with 1-year expenditures (r=0.56; P<0.01). CONCLUSIONS Rates of high-intensity CT use for patients with ischemic stroke reflect wide practice patterns across regions and races. Medicare expenditures parallel these disparities. Fragmentation of care is associated with high-intensity CT use.
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Affiliation(s)
- Kimon Bekelis
- From the Section of Neurosurgery (K.B., D.W.R.) and Department of Neurology (D.W.R.), Dartmouth-Hitchcock Medical Center, Lebanon, NH; Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH (D.W.R.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (W.Z., J.S.); and Department of Economics, Dartmouth College, Hanover, NH (J.S.).
| | - David W Roberts
- From the Section of Neurosurgery (K.B., D.W.R.) and Department of Neurology (D.W.R.), Dartmouth-Hitchcock Medical Center, Lebanon, NH; Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH (D.W.R.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (W.Z., J.S.); and Department of Economics, Dartmouth College, Hanover, NH (J.S.)
| | - Weiping Zhou
- From the Section of Neurosurgery (K.B., D.W.R.) and Department of Neurology (D.W.R.), Dartmouth-Hitchcock Medical Center, Lebanon, NH; Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH (D.W.R.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (W.Z., J.S.); and Department of Economics, Dartmouth College, Hanover, NH (J.S.)
| | - Jonathan S Skinner
- From the Section of Neurosurgery (K.B., D.W.R.) and Department of Neurology (D.W.R.), Dartmouth-Hitchcock Medical Center, Lebanon, NH; Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH (D.W.R.); Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH (W.Z., J.S.); and Department of Economics, Dartmouth College, Hanover, NH (J.S.)
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Katzan IL, Spertus J, Bettger JP, Bravata DM, Reeves MJ, Smith EE, Bushnell C, Higashida RT, Hinchey JA, Holloway RG, Howard G, King RB, Krumholz HM, Lutz BJ, Yeh RW. Risk adjustment of ischemic stroke outcomes for comparing hospital performance: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2014; 45:918-44. [PMID: 24457296 DOI: 10.1161/01.str.0000441948.35804.77] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE Stroke is the fourth-leading cause of death and a leading cause of long-term major disability in the United States. Measuring outcomes after stroke has important policy implications. The primary goals of this consensus statement are to (1) review statistical considerations when evaluating models that define hospital performance in providing stroke care; (2) discuss the benefits, limitations, and potential unintended consequences of using various outcome measures when evaluating the quality of ischemic stroke care at the hospital level; (3) summarize the evidence on the role of specific clinical and administrative variables, including patient preferences, in risk-adjusted models of ischemic stroke outcomes; (4) provide recommendations on the minimum list of variables that should be included in risk adjustment of ischemic stroke outcomes for comparisons of quality at the hospital level; and (5) provide recommendations for further research. METHODS AND RESULTS This statement gives an overview of statistical considerations for the evaluation of hospital-level outcomes after stroke and provides a systematic review of the literature for the following outcome measures for ischemic stroke at 30 days: functional outcomes, mortality, and readmissions. Data on outcomes after stroke have primarily involved studies conducted at an individual patient level rather than a hospital level. On the basis of the available information, the following factors should be included in all hospital-level risk-adjustment models: age, sex, stroke severity, comorbid conditions, and vascular risk factors. Because stroke severity is the most important prognostic factor for individual patients and appears to be a significant predictor of hospital-level performance for 30-day mortality, inclusion of a stroke severity measure in risk-adjustment models for 30-day outcome measures is recommended. Risk-adjustment models that do not include stroke severity or other recommended variables must provide comparable classification of hospital performance as models that include these variables. Stroke severity and other variables that are included in risk-adjustment models should be standardized across sites, so that their reliability and accuracy are equivalent. There is a pressing need for research in multiple areas to better identify methods and metrics to evaluate outcomes of stroke care. CONCLUSIONS There are a number of important methodological challenges in undertaking risk-adjusted outcome comparisons to assess the quality of stroke care in different hospitals. It is important for stakeholders to recognize these challenges and for there to be a concerted approach to improving the methods for quality assessment and improvement.
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Sun Y, Lee SH, Heng BH, Chin VS. 5-year survival and rehospitalization due to stroke recurrence among patients with hemorrhagic or ischemic strokes in Singapore. BMC Neurol 2013; 13:133. [PMID: 24088308 PMCID: PMC3850698 DOI: 10.1186/1471-2377-13-133] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Accepted: 09/18/2013] [Indexed: 11/27/2022] Open
Abstract
Background Stroke is the 4th leading cause of death and 1st leading cause of disability in Singapore. However the information on long-term post stroke outcomes for Singaporean patients was limited. This study aimed to investigate the post stroke outcomes of 5-year survival and rehospitalization due to stroke recurrence for hemorrhagic and ischemic stroke patients in Singapore. The outcomes were stratified by age, ethnic group, gender and stroke types. The causes of death and stroke recurrence were also explored in the study. Methods A multi-site retrospective cohort study. Patients admitted for stroke at any of the three hospitals in the National Healthcare Group of Singapore were included in the study. All study patients were followed up to 5 years. Kaplan-Meier was applied to study the time to first event, death or rehospitalization due to stroke recurrence. Cox proportional hazard model was applied to study the time to death with adjustment for stroke type, age, sex, ethnic group, and admission year. Cumulative incidence model with competing risk was applied for comparing the risks of rehospitalization due to stroke recurrence with death as the competing risk. Results Totally 12,559 stroke patients were included in the study. Among them, 59.3% survived for 5 years; 18.4% were rehospitalized due to stroke recurrence in 5 years. The risk of stroke recurrence and mortality increased with age in all stroke types. Gender, ethnic group and admitting year were not significantly associated with the risk of mortality or stroke recurrence in hemorrhagic stroke. Male or Malay patient had higher risk of stroke recurrence and mortality in ischemic stroke. Hemorrhagic stroke had higher early mortality while ischemic stroke had higher recurrence and late mortality. The top cause of death among died stroke patients was cerebrovascular diseases, followed by pneumonia and ischemic heart diseases. The recurrent stroke was most likely to be the same type as the initial stroke among rehospitalized stroke patients. Conclusions Five year post-stroke survival and rehospitalization due to stroke recurrence as well as their associations with patient demographics were studied for different stroke types in Singapore. Specific preventive strategies are needed to target the high risk groups to improve their long-term outcomes after acute stroke.
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Affiliation(s)
- Yan Sun
- Department of Health Services & Outcomes Research, National Healthcare Group, Singapore, Singapore.
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Bekelis K, Missios S, Labropoulos N. Regional and socioeconomic disparities in the treatment of unruptured cerebral aneurysms in the USA: 2000–2010. J Neurointerv Surg 2013; 6:556-60. [DOI: 10.1136/neurintsurg-2013-010884] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Qian F, Fonarow GC, Smith EE, Xian Y, Pan W, Hannan EL, Shaw BA, Glance LG, Peterson ED, Eapen ZJ, Hernandez AF, Schwamm LH, Bhatt DL. Racial and ethnic differences in outcomes in older patients with acute ischemic stroke. Circ Cardiovasc Qual Outcomes 2013; 6:284-92. [PMID: 23680966 DOI: 10.1161/circoutcomes.113.000211] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Little is known as to whether long-term outcomes of acute ischemic stroke (AIS) vary by race/ethnicity. Using the American Heart Association Get With The Guidelines-Stroke registry linked with Medicare claims data set, we examined whether 30-day and 1-year outcomes differed by race/ethnicity among older patients with AIS. METHODS AND RESULTS We analyzed 200 900 patients with AIS >65 years of age (170 694 non-Hispanic whites, 85.0%; 20 514 non-Hispanic blacks, 10.2%; 6632 Hispanics, 3.3%; 3060 non-Hispanic Asian Americans, 1.5%) from 926 US centers participating in the Get With The Guidelines-Stroke program from April 2003 through December 2008. Compared with whites, other racial and ethnic groups were on average younger and had a higher median score on the National Institutes of Health Stroke Scale. Whites had higher 30-day unadjusted mortality than other groups (white versus black versus Hispanic versus Asian=15.0% versus 9.9% versus 11.9% versus 11.1%, respectively). Whites also had higher 1-year unadjusted mortality (31.7% versus 28.6% versus 28.1% versus 23.9%, respectively) but lower 1-year unadjusted all-cause rehospitalization (54.7% versus 62.5% versus 60.0% versus 48.6%, respectively). After risk adjustment, Asian American patients with AIS had lower 30-day and 1-year mortality than white, black, and Hispanic patients. Relative to whites, black and Hispanic patients had higher adjusted 1-year all-cause rehospitalization (black: adjusted odds ratio, 1.28 [95% confidence interval, 1.21-1.37]; Hispanic: adjusted odds ratio, 1.22 [95% confidence interval, 1.11-1.35]), whereas Asian patients had lower odds (adjusted odds ratio, 0.83 [95% confidence interval, 0.74-0.94]). CONCLUSIONS Among older Medicare beneficiaries with AIS, there were significant differences in long-term outcomes by race/ethnicity, even after adjustment for stroke severity, other prognostic variables, and hospital characteristics.
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Affiliation(s)
- Feng Qian
- Department of Health Policy, Management & Behavior, School of Public Health,University at Albany-State University of New York, Albany, NY 12144, USA.
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Mishra NK, Chan BPL, Teoh HL, Meng CH, Lees KR, Chen C, Sharma VK. Postthrombolysis Outcomes in Acute Ischemic Stroke Patients of Asian Race-Ethnicity. Int J Stroke 2013; 8 Suppl A100:95-9. [DOI: 10.1111/ijs.12012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Background Race-ethnic differences may influence postthrombolysis outcomes in acute ischemic stroke patients. Guidelines for thrombolytic therapy to treat Asian stroke patients are based mostly on extrapolated western data. Aims We undertook to examine outcomes among Asians by comparing a propensity-matched cohort of thrombolyzed patients from a tertiary center in Singapore with nonthrombolyzed Asian comparators collated from Virtual International Stroke Trials Archives (control). Methods We identified propensity scores-matched patients between thrombolyzed and control Asian patients lodged in the Virtual International Stroke Trials Archives by employing propensity scores method. We compared matched patients for their distributions of three-month functional (modified Rankin scores) and neurological outcomes (National Institute of Health Stroke Scale) by employing Cochran–Mantel–Haenszel test and proportional odds logistic regression analysis. We report odds ratio and 95% confidence interval for improved outcomes on day 90. Results Virtual International Stroke Trials Archives and National University Hospital, Singapore, contributed 517 and 133 patients of Asian race-ethnicity ( n = 650), respectively. After propensity matching, sample size reduced to 237 patients; 104 were from Virtual International Stroke Trials Archives. Age (59·7 vs. 61·5 years, P = 0·2) and mean baseline National Institute of Health Stroke Scale scores were similar ( 14 ) between thrombolyzed and control. The odds ratio for shift toward improved modified Rankin scores and National Institute of Health Stroke Scale distributions after tissue plasminogen activator therapy were 2·8 (95% confidence interval 1·8–4·5, P < 0·0001, n = 233; Cochran–Mantel–Haenszel P < 0·0001) and 2·8 (95% confidence interval 1·7–4·7, P = 0·0008, n = 201; Cochran–Mantel–Haenszel P = 0·0001). Conclusions Our data indicate that Asian patients derive benefit from thrombolytic therapy.
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Affiliation(s)
- Nishant K. Mishra
- Western Infirmary and Faculty of Medicine, University of Glasgow, Glasgow, Scotland
- Stanford Stroke Center, Palo Alto, CA, USA
| | | | - Hock-Luen Teoh
- Department of Neurology, National University Hospital, Singapore
| | - Chang-Hui Meng
- National Neuroscience Institute, Singapore General Hospital, Singapore
| | - Kennedy R. Lees
- Western Infirmary and Faculty of Medicine, University of Glasgow, Glasgow, Scotland
| | - Christopher Chen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University Health System, Singapore
| | - Vijay K. Sharma
- Department of Neurology, National University Hospital, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Wang Y, Rudd AG, Wolfe CDA. Trends and survival between ethnic groups after stroke: the South London Stroke Register. Stroke 2013; 44:380-7. [PMID: 23321449 DOI: 10.1161/strokeaha.112.680843] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE To identify trends and differences between ethnic groups in survival after first-ever stroke and examine factors influencing survival. METHODS Population-based stroke register of first in a lifetime strokes between 1995 and 2010. Baseline data were collection of sociodemographic factors, stroke subtype, case mix, risk factors before stroke, and receipt of effective acute stroke processes. Survival curves were estimated with Kaplan-Meier methods, and survival analyses were undertaken using Cox Proportional-hazards models. RESULTS Survival improved significantly over this 16-year period (P<0.0001). Black Caribbean and black African had a reduced risk of all-cause mortality compared with white patients (hazard ratio, 0.85 [95% confidence interval, 0.74-0.98] and 0.61 [0.49-0.77], respectively) after adjustment for confounders. This survival advantage of black Caribbean/black African over white mainly existed in older patients (over 65). Recent stroke, being black Caribbean/black African, and stroke unit admission were associated with better survival. CONCLUSIONS Survival has improved in a multiethnic population over time. The independent survival advantage of black Caribbean and black African over White group in those aged over 65 may be a healthy migrant effect of first generation migrants. The increase in admission to a stroke unit may contribute to the improvement in survival after stroke.
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Affiliation(s)
- Yanzhong Wang
- Division of Health and Social Care Research, King's College London, 5th floor Capital House, 42 Weston St, London SE1 3QD, United Kingdom.
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Hanchate AD, Schwamm LH, Huang W, Hylek EM. Comparison of ischemic stroke outcomes and patient and hospital characteristics by race/ethnicity and socioeconomic status. Stroke 2013; 44:469-76. [PMID: 23306327 DOI: 10.1161/strokeaha.112.669341] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Current literature provides mixed evidence on disparities by race/ethnicity and socioeconomic status in discharge outcomes after hospitalization for acute ischemic stroke. Using comprehensive data from 8 states, we sought to compare inpatient mortality and length of stay by race/ethnicity and socioeconomic status. METHODS We examined all 2007 hospitalizations for acute ischemic stroke in all nonfederal acute care hospitals in Arizona, California, Florida, Maine, New Jersey, New York, Pennsylvania, and Texas. Population was stratified by race/ethnicity (non-Hispanic whites, non-Hispanic blacks, and Hispanics) and socioeconomic status, measured by median income of patient zip code. For each stratum, we estimated risk-adjusted rates of inpatient mortality and longer length of stay (greater than median length of stay). We also compared the hospitals where these subpopulations received care. RESULTS Hispanic and black patients accounted for 14% and 12% of all ischemic stroke admissions (N=147 780), respectively, and had lower crude inpatient mortality rates (Hispanic=4.5%, blacks=4.4%; all P<0.001) compared with white patients (5.8%). Hispanic and black patients were younger and fewer had any form of atrial fibrillation. Adjusted for patient risk, inpatient mortality was similar by race/ethnicity, but was significantly higher for low-income area patients than that for high-income area patients (odds ratio, 1.08; 95% confidence interval, 1.02-1.15). Risk-adjusted rates of longer length of stay were higher among minority and low-income area populations. CONCLUSIONS Risk-adjusted inpatient mortality was similar among patients by race/ethnicity but higher among patients from lower income areas. However, this pattern was not evident in sensitivity analyses, including the use of mechanical ventilation as a partial surrogate for stroke severity.
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Fletcher JJ, Morgenstern LB, Lisabeth LD, Sánchez BN, Skolarus LE, Smith MA, Garcia NM, Zahuranec DB. A population-based analysis of ethnic differences in admission to the intensive care unit after stroke. Neurocrit Care 2012; 17:348-53. [PMID: 22892883 DOI: 10.1007/s12028-012-9770-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
BACKGROUND Mexican-Americans (MAs) have shown lower post-stroke mortality compared to non-hispanic whites (NHWs). Limited evidence suggests race/ethnic differences exist in intensive care unit (ICU) admissions following stroke. Our objective was to investigate the association of ethnicity with admission to the ICU following stroke. METHODS Cases of intracerebral hemorrhage and acute ischemic stroke were prospectively ascertained as part of the Brain Attack Surveillance in Corpus Christi (BASIC) project for the period of January 2000 through December 2009. Logistic regression models fitted within the generalized additive model framework were used to test associations between ethnicity and ICU admission and potential confounders. An interaction term between age and ethnicity was investigated in the final model. RESULTS A total 1,464 cases were included in analysis. MAs were younger, more likely to have diabetes, and less likely to have atrial fibrillation, health insurance, or high school diploma than NHWs. On unadjusted analysis, there was a trend toward MAs being more likely to be admitted to ICU than NHWs (34.6 vs 30.3 %; OR = 1.22; 95 % CI 0.98-1.52; p = 0.08). However, on adjusted analysis, no overall association between MA ethnicity and ICU admission (OR = 1.13; 95 % CI 0.85-1.50) was found. When an interaction term for age and ethnicity was added to this model, there was only borderline evidence for effect modification by age of the ethnicity/ICU relationship (p = 0.16). CONCLUSIONS No overall association between ethnicity and ICU admission was observed in this community. ICU utilization alone does not likely explain ethnic differences in survival following stroke between MAs and NHWs.
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Affiliation(s)
- Jeffrey J Fletcher
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, USA
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Carretta HJ, Chukmaitov A, Tang A, Shin J. Examination of hospital characteristics and patient quality outcomes using four inpatient quality indicators and 30-day all-cause mortality. Am J Med Qual 2012; 28:46-55. [PMID: 22723470 DOI: 10.1177/1062860612444459] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The study objective was to examine hospital mortality outcomes and structure using 2008 patient-level discharges from general community hospitals. Discharges from Florida administrative files were merged to the state mortality registry. A cross-sectional analysis of inpatient mortality was conducted using Inpatient Quality Indicators (IQIs) for acute myocardial infarction (AMI), congestive heart failure (CHF), stroke, pneumonia, and all-payer 30-day postdischarge mortality. Structural characteristics included bed size, volume, ownership, teaching status, and system affiliation. Outcomes were risk adjusted using 3M APR-DRG. Volume was inversely correlated with AMI, CHF, stroke, and 30-day mortality. Similarities and differences in the direction and magnitude of the relationship of structural characteristics to 30-day postdischarge and IQI mortality measures were observed. Hospital volume was inversely correlated with inpatient mortality outcomes. Other hospital characteristics were associated with some mortality outcomes. Further study is needed to understand the relationship between 30-day postdischarge mortality and hospital quality.
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Ankolekar S, Rewell S, Howells DW, Bath PMW. The Influence of Stroke Risk Factors and Comorbidities on Assessment of Stroke Therapies in Humans and Animals. Int J Stroke 2012; 7:386-97. [DOI: 10.1111/j.1747-4949.2012.00802.x] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The main driving force behind the assessment of novel pharmacological agents in animal models of stroke is to deliver new drugs to treat the human disease rather than to increase knowledge of stroke pathophysiology. There are numerous animal models of the ischaemic process and it appears that the same processes operate in humans. Yet, despite these similarities, the drugs that appear effective in animal models have not worked in clinical trials. To date, tissue plasminogen activator is the only drug that has been successfully used at the bedside in hyperacute stroke management. Several reasons have been put forth to explain this, but the failure to consider comorbidities and risk factors common in older people is an important one. In this article, we review the impact of the risk factors most studied in animal models of acute stroke and highlight the parallels with human stroke, and, where possible, their influence on evaluation of therapeutic strategies.
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Affiliation(s)
| | - Sarah Rewell
- Florey Neuroscience Institutes, Melbourne Brain Centre, Heidelberg, Australia
| | - David W. Howells
- Florey Neuroscience Institutes, Melbourne Brain Centre, Heidelberg, Australia
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d’Esterre CD, Fainardi E, Aviv RI, Lee TY. Improving Acute Stroke Management with Computed Tomography Perfusion: A Review of Imaging Basics and Applications. Transl Stroke Res 2012; 3:205-20. [DOI: 10.1007/s12975-012-0178-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2012] [Revised: 04/09/2012] [Accepted: 04/12/2012] [Indexed: 10/28/2022]
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Xian Y, Holloway RG, Pan W, Peterson ED. Challenges in assessing hospital-level stroke mortality as a quality measure: comparison of ischemic, intracerebral hemorrhage, and total stroke mortality rates. Stroke 2012; 43:1687-90. [PMID: 22535276 DOI: 10.1161/strokeaha.111.648600] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Public reporting efforts currently profile hospitals based on overall stroke mortality rates, yet the "mix" of hemorrhagic and ischemic stroke cases may impact this rate. METHODS Using the 2005 to 2006 New York state data, we examined the degree to which hospital stroke mortality rankings varied regarding ischemic versus hemorrhagic versus total stroke. Observed/expected ratio was calculated using the Agency for Healthcare Research and Quality Inpatient Quality Indicator software. The observed/expected ratio and outlier status based on stroke types across hospitals were examined using Pearson correlation coefficients (r) and weighted κ. RESULTS Overall 30-day stroke mortality rates were 15.2% and varied from 11.3% for ischemic stroke and 37.3% for intracerebral hemorrhage. Hospital risk-adjusted ischemic stroke observed/expected ratio was weakly correlated with its own intracerebral hemorrhage observed/expected ratio (r=0.38). When examining hospital performance group (mortality better, worse, or no different than average), disagreement was observed in 35 of 81 hospitals (κ=0.23). Total stroke mortality observed/expected ratio and rankings were correlated with intracerebral hemorrhage (r=0.61 and κ=0.36) and ischemic stroke (r=0.94 and κ=0.71), but many hospitals still switched classification depending on mortality metrics. However, hospitals treating a higher percent of hemorrhagic stroke did not have a statistically significant higher total stroke mortality rate relative to those treating fewer hemorrhagic strokes. CONCLUSIONS Hospital stroke mortality ratings varied considerably depending on whether ischemic, hemorrhagic, or total stroke mortality rates were used. Public reporting of stroke mortality measures should consider providing risk-adjusted outcome on separate stroke types.
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Affiliation(s)
- Ying Xian
- Duke Clinical Research Institute, Box 17969, Durham NC 27715, USA
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Khan M, Ahmed B, Ahmed M, Najeeb M, Raza E, Khan F, Moin A, Shujaat D, Arshad A, Kamal AK. Functional, cognitive and psychological outcomes, and recurrent vascular events in Pakistani stroke survivors: a cross sectional study. BMC Res Notes 2012; 5:89. [PMID: 22321339 PMCID: PMC3296616 DOI: 10.1186/1756-0500-5-89] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2011] [Accepted: 02/09/2012] [Indexed: 11/10/2022] Open
Abstract
Background There is little direct data describing the outcomes and recurrent vascular morbidity and mortality of stroke survivors from low and middle income countries like Pakistan. This study describes functional, cognitive and vascular morbidity and mortality of Pakistani stroke survivors discharged from a dedicated stroke center within a nonprofit tertiary care hospital based in a multiethnic city with a population of more than 20 million. Methods Patients with stroke, aged > 18 years, discharged alive from a tertiary care centre were contacted via telephone and a cross sectional study was conducted. All the discharges were contacted. Patients or their legal surrogate were interviewed regarding functional, cognitive and psychological outcomes and recurrent vascular events using standardized, pretested and translated scales. A verbal autopsy was carried out for patients who had died after discharge. Stroke subtype and risk factors data was collected from the medical records. Subdural hemorrhages, traumatic ICH, subarachnoid hemorrhage, iatrogenic stroke within hospital and all other diagnoses that presented like stroke but were subsequently found not to have stroke were also excluded. Composites were created for functional outcome variable and depression. Data were analyzed using logistic regression. Results 309 subjects were interviewed at a median of 5.5 months post discharge. 12.3% of the patients had died, mostly from recurrent vascular events or stroke complications. Poor functional outcome defined as Modified Rankin Score (mRS) of > 2 and a Barthel Index (BI) score of < 90 was seen in 51%. Older age (Adj-OR-2.1, p = 0.01), moderate to severe dementia (Adj-OR-19.1, p < 0.001), Diabetes (Adj-OR-2.1, p = 0.02) and multiple post stroke complications (Adj-OR-3.6, p = 0.02) were independent predictors of poor functional outcome. Cognitive outcomes were poor in 42% and predictors of moderate to severe dementia were depression (Adj-OR-6.86, p < 0.001), multiple post stroke complications (Adj-OR-4.58, p = 0.01), presence of bed sores (Adj-OR-17.13, p = 0.01) and history of atrial fibrillation (Adj-OR-5.12, p < 0.001). Conclusions Pakistani stroke survivors have poor outcomes in the community, mostly from preventable complications. Despite advanced disability, the principal caretakers were family rarely supported by health care personnel, highlighting the need to develop robust home care support for caregivers in these challenging resource poor settings.
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Affiliation(s)
- Maria Khan
- Aga Khan University, International Cerebrovascular Translational Clinical Research Program and Stroke Services, Karachi, Pakistan.
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Dobbs D, Meng H, Hyer K, Volicer L. The influence of hospice use on nursing home and hospital use in assisted living among dual-eligible enrollees. J Am Med Dir Assoc 2011; 13:189.e9-189.e13. [PMID: 21763210 DOI: 10.1016/j.jamda.2011.06.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2011] [Revised: 06/01/2011] [Accepted: 06/01/2011] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This study examined the impact of hospice enrollment on the probabilities of hospital and nursing home admissions among a sample of frail dual-eligible assisted living (AL) residents. DESIGN The study used a retrospective cohort design. We estimated bivariate probit models with 2 binary outcome variables: any hospital admissions and any nursing home admissions after assisted living enrollment. SETTING A total of 328 licensed AL communities accepting Medicaid waivers in Florida. PARTICIPANTS We identified all newly admitted dual-eligible AL residents in Florida between January and June of 2003 who had complete state assessment data (n = 658) and followed them for 6 to 12 months. MEASUREMENTS Using the Andersen behavioral model, predisposing (age, gender, race), enabling (marital status, available caregiver, hospice use), and need (ADL/IADL, comorbidity conditions, and incontinence) characteristics were included as predictors of 2 binary outcomes (hospital and nursing home admission). Demographics, functional status, and caregiver availability were obtained from the state client assessment database. Data on diagnosis and hospital, nursing home, and hospice use were obtained from Medicare and Medicaid claims. Death dates were obtained from the state vital statistics death certificate data. RESULTS The mean age of the study sample was 81.5 years. Three-fourths were female and 63% were White. The average resident had a combined ADL/IADL dependency score of 11.49. Fifty-eight percent of the sample had dementia. During the average 8.9-month follow-up period, 6.8% were enrolled in hospice and 10.2% died. Approximately 33% of the sample had been admitted into a hospital and 20% had been admitted into a nursing home. Bivariate probit models simultaneously predicting the likelihood of hospital and nursing home admissions showed that hospice enrollment was associated with lower likelihood of hospital (OR = 0.24, P < .01) and nursing home admissions (OR = 0.56, P < .05). Significant predictors of hospital admissions included higher Charlson Comorbidity Index score and incontinence. Predictors of nursing home admissions included higher Charlson Comorbidity Index score, the absence of available informal caregiver, and incontinence. CONCLUSIONS Hospice enrollment was associated with a lower likelihood of hospital and nursing home admissions, and, thus, may have allowed AL residents in need of palliative care to remain in the AL community. AL providers should support and facilitate hospice care among older frail dual-eligible AL residents. More research is needed to examine the impact of hospice care on resident quality of life and total health care expenditures among AL residents.
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Affiliation(s)
- Debra Dobbs
- Florida Policy Exchange Center on Aging, School of Aging Studies, University of South Florida, Tampa, FL, USA.
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In brief. Nat Rev Neurol 2011. [DOI: 10.1038/nrneurol.2011.30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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