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Kim DY, Park TH, Cho YJ, Park JM, Lee K, Lee M, Lee J, Bae SY, Hong DY, Jung H, Ko E, Guk HS, Kim BJ, Kim JY, Kang J, Han MK, Park SS, Hong KS, Park HK, Lee JY, Lee BC, Yu KH, Oh MS, Kim DE, Gwak DS, Lee SJ, Kim JG, Lee J, Kwon DH, Cha JK, Kim DH, Kim JT, Choi KH, Kim H, Choi JC, Kim JG, Kang CH, Sohn SI, Hong JH, Park H, Lee SH, Kim C, Shin DI, Yum KS, Kang K, Park KY, Jeong HB, Park CY, Lee KJ, Kwon JH, Kim WJ, Lee JS, Bae HJ. Contemporary Statistics of Acute Ischemic Stroke and Transient Ischemic Attack in 2021: Insights From the CRCS-K-NIH Registry. J Korean Med Sci 2024; 39:e278. [PMID: 39228188 PMCID: PMC11372415 DOI: 10.3346/jkms.2024.39.e278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 08/07/2024] [Indexed: 09/05/2024] Open
Abstract
This report presents the latest statistics on the stroke population in South Korea, sourced from the Clinical Research Collaborations for Stroke in Korea-National Institute for Health (CRCS-K-NIH), a comprehensive, nationwide, multicenter stroke registry. The Korean cohort, unlike western populations, shows a male-to-female ratio of 1.5, attributed to lower risk factors in Korean women. The average ages for men and women are 67 and 73 years, respectively. Hypertension is the most common risk factor (67%), consistent with global trends, but there is a higher prevalence of diabetes (35%) and smoking (21%). The prevalence of atrial fibrillation (19%) is lower than in western populations, suggesting effective prevention strategies in the general population. A high incidence of large artery atherosclerosis (38%) is observed, likely due to prevalent intracranial arterial disease in East Asians and advanced imaging techniques. There has been a decrease in intravenous thrombolysis rates, from 12% in 2017-2019 to 10% in 2021, with no improvements in door-to-needle and door-to-puncture times, worsened by the coronavirus disease 2019 pandemic. While the use of aspirin plus clopidogrel for non-cardioembolic stroke and direct oral anticoagulants for atrial fibrillation is well-established, the application of direct oral anticoagulants for non-atrial fibrillation cardioembolic strokes in the acute phase requires further research. The incidence of early neurological deterioration (13%) and the cumulative incidence of recurrent stroke at 3 months (3%) align with global figures. Favorable outcomes at 3 months (63%) are comparable internationally, yet the lack of improvement in dependency at 3 months highlights the need for advancements in acute stroke care.
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Affiliation(s)
- Do Yeon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Jong-Moo Park
- Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Minwoo Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Sang Yoon Bae
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Da Young Hong
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hannah Jung
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Eunvin Ko
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Hyung Seok Guk
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Beom Joon Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jun Yup Kim
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jihoon Kang
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Moon-Ku Han
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - Jeong-Yoon Lee
- Department of Neurology, Soonchunhyang University Hospital Seoul, Seoul, Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Dong-Seok Gwak
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University, School of Medicine, Daejeon Eulji Medical Center, Daejeon, Korea
| | - Jae Guk Kim
- Department of Neurology, Eulji University, School of Medicine, Daejeon Eulji Medical Center, Daejeon, Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Doo Hyuk Kwon
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Hyunsoo Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Joong-Goo Kim
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Chul-Hoo Kang
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea
| | - Sung-Il Sohn
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Hyungjong Park
- Department of Neurology, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Sang-Hwa Lee
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon, Korea
| | - Chulho Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon, Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Korea
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Hae-Bong Jeong
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Chan-Young Park
- Department of Neurology, Chung-Ang University Hospital, Seoul, Korea
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Korea
| | - Jee Hyun Kwon
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 175] [Impact Index Per Article: 175.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Hsu YH, Lee TH, Chung KP, Tung YC. Determining the factors influencing the selection of post-acute care models by patients and their families: a qualitative content analysis. BMC Geriatr 2023; 23:179. [PMID: 36978003 PMCID: PMC10045930 DOI: 10.1186/s12877-023-03889-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 03/14/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND This study conducted in-depth interviews to explore the factors that influence the choice of a post-acute care (PAC) model (inpatient rehabilitation hospital, skilled nursing facility, home health, and outpatient rehabilitation) among stroke patients and their families. METHODS We conducted semi-structured, in-depth interviews of 21 stroke patients and their families at four hospitals in Taiwan. Content analysis was used in this qualitative study. RESULTS Results revealed five main factors that influence respondents' choice of PAC: (1) medical professionals' suggestions, (2) health care accessibility, (3) continuity and coordination of care, (4) willingness and prior experience of patients and their relatives and friends, and (5) economic factors. CONCLUSIONS This study identifies five main factors that affect the choice of PAC models among stroke patients and their families. We suggest that policymakers establish comprehensive health care resources based on the needs of patients and families. Health care providers shall provide professional recommendations and adequate information to support decision-making, which aligns with the preferences and values of patients and their families. From this research, we hope to improve the accessibility of PAC services in order to enhance the quality of care for stroke patients.
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Affiliation(s)
- Ya-Hui Hsu
- Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Anesthesiology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Tsong-Hai Lee
- Stroke Center, Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-Piao Chung
- Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Yu-Chi Tung
- Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.
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4
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1372] [Impact Index Per Article: 1372.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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5
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Wang A, Zhang Y, Xia G, Tian X, Zuo Y, Chen P, Wang Y, Meng X, Han X. Association of serum albumin to globulin ratio with outcomes in acute ischemic stroke. CNS Neurosci Ther 2023; 29:1357-1367. [PMID: 36794538 PMCID: PMC10068453 DOI: 10.1111/cns.14108] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/18/2023] [Accepted: 01/20/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Serum albumin to globulin ratio (A/G) has been widely used as a representative biomarker for assessing inflammation and nutrition status. However, in patients with acute ischemic stroke (AIS), the predictive value of serum A/G has rarely been reported. We aimed to evaluate whether serum A/G is associated with prognosis in stroke. METHODS We analyzed data from the Third China National Stroke Registry. The patients were categorized into quartile groups according to the serum A/G at admission. Clinical outcomes included poor functional outcomes (modified Rankin Scale [mRS] score of 3-6 or 2-6) and all-cause mortality at 3 months and1 year. Multivariable logistic regressions and Cox proportional hazards regressions were used to evaluate the association of serum A/G with the risk of poor functional outcomes and all-cause mortality. RESULTS A total of 11, 298 patients were included in this study. After adjustment for confounding factors, patients in the highest serum A/G quartile had a lower proportion of mRS score 2-6 (odds ratio [OR], 0.87; 95% confidence interval [CI], 0.76-1.00) and mRS score 3-6 (OR, 0.87; 95% CI, 0.73-1.03) at 3 months follow-up. At 1 year follow-up, there was a significant association between higher serum A/G and mRS score 3-6 (OR, 0.68; 95% CI, 0.57-0.81). We also found that the highest serum A/G was related to decreased risk of all-cause mortality (hazard ratio [HR], 0.58; 95% CI, 0.36-0.94) at 3 months follow-up. Similar results were found at 1-year follow-up. CONCLUSIONS Lower serum A/G levels were associated with poor functional outcomes and all-cause mortality at 3 months and 1-year follow-up in patients with acute ischemic stroke.
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Affiliation(s)
- Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yijun Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Guangxin Xia
- Department of Neurology, Kaifeng Central Hospital, Kaifeng, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yingting Zuo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Pan Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xinsheng Han
- Department of Neurology, Kaifeng Central Hospital, Kaifeng, China
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Weisinger B, Pandey DP, Saver JL, Hochberg A, Bitton A, Doniger GM, Lifshitz A, Vardi O, Shohami E, Segal Y, Reznik Balter S, Djemal Kay Y, Alter A, Prasad A, Bornstein NM. Frequency-tuned electromagnetic field therapy improves post-stroke motor function: A pilot randomized controlled trial. Front Neurol 2022; 13:1004677. [PMID: 36452175 PMCID: PMC9702345 DOI: 10.3389/fneur.2022.1004677] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/05/2022] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND AND PURPOSE Impaired upper extremity (UE) motor function is a common disability after ischemic stroke. Exposure to extremely low frequency and low intensity electromagnetic fields (ELF-EMF) in a frequency-specific manner (Electromagnetic Network Targeting Field therapy; ENTF therapy) is a non-invasive method available to a wide range of patients that may enhance neuroplasticity, potentially facilitating motor recovery. This study seeks to quantify the benefit of the ENTF therapy on UE motor function in a subacute ischemic stroke population. METHODS In a randomized, sham-controlled, double-blind trial, ischemic stroke patients in the subacute phase with moderately to severely impaired UE function were randomly allocated to active or sham treatment with a novel, non-invasive, brain computer interface-based, extremely low frequency and low intensity ENTF therapy (1-100 Hz, < 1 G). Participants received 40 min of active ENTF or sham treatment 5 days/week for 8 weeks; ~three out of the five treatments were accompanied by 10 min of concurrent physical/occupational therapy. Primary efficacy outcome was improvement on the Fugl-Meyer Assessment - Upper Extremity (FMA-UE) from baseline to end of treatment (8 weeks). RESULTS In the per protocol set (13 ENTF and 8 sham participants), mean age was 54.7 years (±15.0), 19% were female, baseline FMA-UE score was 23.7 (±11.0), and median time from stroke onset to first stimulation was 11 days (interquartile range (IQR) 8-15). Greater improvement on the FMA-UE from baseline to week 4 was seen with ENTF compared to sham stimulation, 23.2 ± 14.1 vs. 9.6 ± 9.0, p = 0.007; baseline to week 8 improvement was 31.5 ± 10.7 vs. 23.1 ± 14.1. Similar favorable effects at week 8 were observed for other UE and global disability assessments, including the Action Research Arm Test (Pinch, 13.4 ± 5.6 vs. 5.3 ± 6.5, p = 0.008), Box and Blocks Test (affected hand, 22.5 ± 12.4 vs. 8.5 ± 8.6, p < 0.0001), and modified Rankin Scale (-2.5 ± 0.7 vs. -1.3 ± 0.7, p = 0.0005). No treatment-related adverse events were reported. CONCLUSIONS ENTF stimulation in subacute ischemic stroke patients was associated with improved UE motor function and reduced overall disability, and results support its safe use in the indicated population. These results should be confirmed in larger multicenter studies. CLINICAL TRIAL REGISTRATION https://clinicaltrials.gov/ct2/show/NCT04039178, identifier: NCT04039178.
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Affiliation(s)
| | - Dharam P. Pandey
- Manipal Hospital Physiotherapy and Rehabilitation, New Delhi, India
| | - Jeffrey L. Saver
- Department of Neurology, UCLA Comprehensive Stroke and Vascular Neurology Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | | | | | | | | | - Ofir Vardi
- BrainQ Technologies, Ltd., Jerusalem, Israel
| | - Esther Shohami
- BrainQ Technologies, Ltd., Jerusalem, Israel
- Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yaron Segal
- BrainQ Technologies, Ltd., Jerusalem, Israel
| | | | | | | | - Atul Prasad
- Department of Neurology, B. L. Kapur Super Specialty Hospital (BLK), National Capital Territory of Delhi, New Delhi, India
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7
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Janssen PM, van Overhagen K, Vinklárek J, Roozenbeek B, van der Worp HB, Majoie CB, Bar M, Černík D, Herzig R, Jurák L, Ostrý S, Mikulik R, Lingsma HF, Dippel DW. Between-Center Variation in Outcome After Endovascular Treatment of Acute Stroke: Analysis of Two Nationwide Registries. Circ Cardiovasc Qual Outcomes 2022; 15:e008180. [PMID: 35094522 PMCID: PMC8920023 DOI: 10.1161/circoutcomes.121.008180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 12/06/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Insight in differences in patient outcomes between endovascular thrombectomy (EVT) centers can help to improve stroke care. We assessed between-center variation in functional outcome of patients with acute ischemic stroke who were treated with EVT. We analyzed to what extent this variation may be explained by modifiable center characteristics. METHODS We used nationwide registry data of patients with stroke treated with EVT in the Netherlands and in the Czech Republic. Primary outcome was modified Rankin Scale score at 90 days as an indicator of disability. We used multilevel ordinal logistic regression to quantify the between-center variation in outcomes and the impact of patient and center characteristics. Between-center variation was expressed as the relative difference in odds of a more favorable modified Rankin Scale score between a relatively better performing center (75th percentile) and a relatively worse performing center (25th percentile). RESULTS We included a total of 4518 patients treated in 33 centers. Adjusted for patient characteristics, the odds of a more favorable outcome in a center at the 75th percentile of the outcome distribution were 1.46 times higher (95% CI, 1.31-1.70) than the odds in a center at the 25th percentile. Adjustment for center characteristics, including the median time between stroke onset and reperfusion per center, decreased this relative difference in odds to 1.30 (95% CI, 1.18-1.50, P=0.01). This translates into an absolute difference in likelihood of good functional outcome of 8% after adjustment for patient characteristics and to 5% after further adjustment for modifiable center characteristics. CONCLUSIONS The considerable between-center variation in patient outcomes after EVT for acute ischemic stroke could be largely explained by center-specific characteristics, such as time to reperfusion. Improvement of these parameters may likely result in a decrease in center-specific differences, and an overall improvement in outcome of patients with acute ischemic stroke.
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Affiliation(s)
- Paula M. Janssen
- Department of Neurology (P.M.J, K.v.O., B.R., D.W.J.D.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Katrine van Overhagen
- Department of Neurology (P.M.J, K.v.O., B.R., D.W.J.D.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Jan Vinklárek
- International Clinical Research Center, Department of Neurology, St Anne’s University Hospital, Brno, Czech Republic (J.V., R.M.)
- Faculty of Medicine at Masaryk University, Brno, Czech Republic (J.V., R.M.)
| | - Bob Roozenbeek
- Department of Neurology (P.M.J, K.v.O., B.R., D.W.J.D.), Erasmus MC University Medical Center Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine (B.R.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - H. Bart van der Worp
- Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, the Netherlands (H.B.v.d.W.)
| | - Charles B. Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location AMC, the Netherlands (C.B.M.)
| | - Michal Bar
- Department of Neurology, University Hospital Ostrava, Czech Republic (M.B.)
- Faculty of Medicine at University Ostrava, Czech Republic (M.B.)
| | - David Černík
- Masaryk Hospital Ústí nad Labem - KZ a.s., Comprehensive Stroke Center, Department of Neurology, Ústí nad Labem, Czech Republic (D.C.)
| | - Roman Herzig
- Comprehensive Stroke Center, University Hospital Hradec Králové, Czech Republic (R.H.)
- Charles University Faculty of Medicine in Hradec Králové, Hradec Králové, Czech Republic (R.H.)
| | - Lubomir Jurák
- Regional Hospital Liberec, Neurocenter, Liberec, Czech Republic (L.J.)
| | - Svatopluk Ostrý
- Comprehensive Stroke Center, Department of Neurology, Hospital České Budějovice, a.s., České Budějovice, Czech Republic (S.O.)
- Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University in Prague and Military University Hospital Prague (S.O.)
| | - Robert Mikulik
- International Clinical Research Center, Department of Neurology, St Anne’s University Hospital, Brno, Czech Republic (J.V., R.M.)
- Faculty of Medicine at Masaryk University, Brno, Czech Republic (J.V., R.M.)
| | - Hester F. Lingsma
- Department of Public Health (H.F.L.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Diederik W.J. Dippel
- Department of Neurology (P.M.J, K.v.O., B.R., D.W.J.D.), Erasmus MC University Medical Center Rotterdam, the Netherlands
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2553] [Impact Index Per Article: 1276.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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9
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Jacobs M, Ellis C. Estimating the cost and value of functional changes in communication ability following telepractice treatment for aphasia. PLoS One 2021; 16:e0257462. [PMID: 34534254 PMCID: PMC8448307 DOI: 10.1371/journal.pone.0257462] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 09/01/2021] [Indexed: 12/02/2022] Open
Abstract
Context Aphasia is a post-stroke condition that can dramatically impact a person with aphasia’s (PWA) communication abilities. To date, few if any studies have considered the cost and cost-effectiveness of functional change in aphasia nor considered measures of patient’s value for aphasia treatment. Objective To assess the cost, cost-effectiveness, and perceived value associated with improved functional communication in individuals receiving telerehabilitation treatment for aphasia. Design Twenty PWA completed between 5 and 12 telehealth rehabilitation sessions of 45–60 minutes within a 6-week time frame using a Language-Oriented Treatment (LOT) designed to address a range of language issues among individuals with aphasia. National Outcomes Measures (NOMS) comprehension and verbal expression and the ASHA Quality of Communication Life (QCL) were completed prior to and at the completion of rehabilitation to obtain baseline and treatment measures. Results Age, education, and race are significantly correlated with improvement in the NOMS verbal expression. African Americans (OR = 2.0917) are twice as likely as Whites to experience improvement after treatment. The likelihood of improvement also increases with each additional year of education (OR = 1.002) but decrease with age (OR = 0.9463). A total of 15 PWA showed improvement in NOMS comprehension and nine patients showed improvement in NOMS verbal expression. Improving patients attended between five and 12 treatment sessions. The average cost of improvement in NOMS comprehension was $1,152 per patient and NOMS verbal expression was $1,128 per patient with individual treatment costs varying between $540 and $1,296. However, on average, the monetary equivalent in patient’s improved QCL was between $1,790.39 to $3,912,54—far exceeding the financial cost of treatment. Conclusions When measuring the functional improvement of patients with aphasia, patient’s quality of communication life received from treatment exceeded financial cost of services provided.
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Affiliation(s)
- Molly Jacobs
- Department of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida, United States of America
- * E-mail:
| | - Charles Ellis
- Department of Speech, Language and Hearing Sciences, University of Florida, Gainesville, Florida, United States of America
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10
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Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 3142] [Impact Index Per Article: 1047.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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11
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Duncan PW, Bushnell C, Sissine M, Coleman S, Lutz BJ, Johnson AM, Radman M, Pvru Bettger J, Zorowitz RD, Stein J. Comprehensive Stroke Care and Outcomes: Time for a Paradigm Shift. Stroke 2020; 52:385-393. [PMID: 33349012 DOI: 10.1161/strokeaha.120.029678] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Worldwide, stroke is prevalent, costly, and disabling in >80 million survivors. The burden of stroke is increasing despite incredible progress and advancements in evidence-based acute care therapies and despite the substantial changes being made in acute care stroke systems, processes, and quality metrics. Although there has been increased global emphasis on the importance of postacute stroke care, stroke system changes have not expanded to include postacute care and outcome follow-up. Our objectives are to describe the gaps and challenges in postacute stroke care and suboptimal stroke outcomes; to report on stroke survivors' and caregivers' perceptions of current postacute stroke care and their call for improvements in follow-up services for recovery and secondary prevention; and, ultimately, to make the case that a paradigm shift is needed in the definition of comprehensive stroke care and the designation of Comprehensive Stroke Center. Three recommendations are made for a paradigm shift in comprehensive stroke care: (1) criteria should be established for designation of rehabilitation readiness for Comprehensive Stroke Centers, (2) The American Heart Association/American Stroke Association implement an expanded Get With The Guidelines-Stroke program and criteria for comprehensive stroke centers to be inclusive of rehabilitation readiness and measure outcomes at 90 days, and (3) a public health campaign should be launched to offer hopeful and actionable messaging for secondary prevention and recovery of function and health. Now is the time to honor the patients' and caregivers' strongest ask: better access and improved secondary prevention, stroke rehabilitation, and personalized care.
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Affiliation(s)
- Pamela W Duncan
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | - Cheryl Bushnell
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | - Mysha Sissine
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | - Sylvia Coleman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | - Barbara J Lutz
- School of Nursing, University of North Carolina at Wilmington (B.J.L.)
| | - Anna M Johnson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (A.M.J.)
| | - Meghan Radman
- Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC (P.W.D., C.B., M.S., S.C., M.R.)
| | | | - Richard D Zorowitz
- Department of Rehabilitation Medicine, MedStar National Rehabilitation Network and Georgetown University School of Medicine, Washington, DC (R.D.Z.)
| | - Joel Stein
- Department of Rehabilitation Medicine, Cornell University, Weill Cornell Medical College, New York, NY (J.S.)
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12
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Du X, Liu Q, Li Q, Yang Z, Liao J, Gong H, Wu L, Wei J, Tan Q, Du H, Zhao R, Zhao L. Prognostic value of cerebral infarction coefficient in patients with massive cerebral infarction. Clin Neurol Neurosurg 2020; 196:106009. [PMID: 32554235 DOI: 10.1016/j.clineuro.2020.106009] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 06/03/2020] [Accepted: 06/07/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE We proposed the concept of the cerebral infarction coefficient, which is cerebral infarction volume/brain volume. This study aimed to evaluate the prognostic value of the cerebral infarction coefficient in patients with massive cerebral infarction (MCI). METHODS According to the modified Rankin score, 71 patients with acute MCI were divided into good prognosis and poor prognosis groups. Clinical and imaging data of the two groups were collected and univariate analysis was carried out. If there were significant differences in the data between the two groups, binary logistic regression analysis was performed. RESULTS The poor prognosis group had a significantly higher cerebral infarction volume, cerebral infarction coefficient, and D-dimer levels, older age, the highest body temperature, a higher rate of a history of atrial fibrillation, and a lower rate of a history of hypertension compared with the good prognosis group (all P < 0.05). Binary logistic regression analysis showed that the cerebral infarction coefficient was an independent risk factor for a poor prognosis of patients with MCI (P < 0.05, 95 % confidence interval, 2.091, 42.562), and the odds ratio was 8.506. The area under the receiver operating characteristic curve for the cerebral infarction coefficient was 0.753. When the cut-off value was 7.8 %, the sensitivity of predicting a poor prognosis of patients with MCI was 92.5 %. CONCLUSION The cerebral infarction coefficient may have predictive value in determining the prognosis of patients with MCI.
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Affiliation(s)
- Xiaoyan Du
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Qingjun Liu
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Qi Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, 1 Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, China.
| | - Zhao Yang
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Juan Liao
- Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Hongmin Gong
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Lin Wu
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Jing Wei
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Qing Tan
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Hongheng Du
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Rui Zhao
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
| | - Libo Zhao
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, 439 Xuanhua Road, Yongchuan District, Chongqing, China; Chongqing key laboratory of cerebrovascular disease research, 439 Xuanhua Road, Yongchuan District, Chongqing, China.
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13
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Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation 2020; 141:e139-e596. [PMID: 31992061 DOI: 10.1161/cir.0000000000000757] [Citation(s) in RCA: 4889] [Impact Index Per Article: 1222.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals. RESULTS Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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14
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Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation 2019; 139:e56-e528. [PMID: 30700139 DOI: 10.1161/cir.0000000000000659] [Citation(s) in RCA: 5374] [Impact Index Per Article: 1074.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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15
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Hong I, Goodwin JS, Reistetter TA, Kuo YF, Mallinson T, Karmarkar A, Lin YL, Ottenbacher KJ. Comparison of Functional Status Improvements Among Patients With Stroke Receiving Postacute Care in Inpatient Rehabilitation vs Skilled Nursing Facilities. JAMA Netw Open 2019; 2:e1916646. [PMID: 31800069 PMCID: PMC6902754 DOI: 10.1001/jamanetworkopen.2019.16646] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
IMPORTANCE Health care reform legislation and Medicare plans for unified payment for postacute care highlight the need for research examining service delivery and outcomes. OBJECTIVE To compare functional outcomes in patients with stroke after postacute care in inpatient rehabilitation facilities (IRF) vs skilled nursing facilities (SNF). DESIGN, SETTING, AND PARTICIPANTS This cohort study included patients with stroke who were discharged from acute care hospitals to IRF or SNF from January 1, 2013, to November 30, 2014. Medicare claims were used to link to IRF and SNF assessments. Data analyses were conducted from January 17, 2017, through April 25, 2019. EXPOSURES Inpatient rehabilitation received in IRFs vs SNFs. MAIN OUTCOMES AND MEASURES Changes in mobility and self-care measures during an IRF or SNF stay were compared using multivariate analyses, inverse probability weighting with propensity score, and instrumental variable analyses. Mortality between 30 and 365 days after discharge was included as a control outcome as an indicator for unmeasured confounders. RESULTS Among 99 185 patients who experienced a stroke between January 1, 2013, and November 30, 2014, 66 082 patients (66.6%) were admitted to IRFs and 33 103 patients (33.4%) were admitted to SNFs. A higher proportion of women were admitted to SNFs (21 466 [64.8%] women) than IRFs (36 462 [55.2%] women) (P < .001). Compared with patients admitted to IRFs, patients admitted to SNFs were older (mean [SD] age, 79.4 [7.6] years vs 83.3 [7.8] years; P < .001) and had longer hospital length of stay (mean [SD], 4.6 [3.0] days vs 5.9 [4.2] days; P < .001) than those admitted to IRFs. In unadjusted analyses, patients with stroke admitted to IRF compared with those admitted to SNF had higher mean scores for mobility on admission (44.2 [95% CI, 44.1-44.3] points vs 40.8 [95% CI, 40.7-40.9] points) and at discharge (55.8 [95% CI, 55.7-55.9] points vs 44.4 [95% CI, 44.3-44.5] points), and for self-care on admission (45.0 [95% CI, 44.9-45.1] points vs 41.8 [95% CI, 41.7-41.9] points) and at discharge (58.6 [95% CI, 58.5-58.7] points vs 45.1 [95% CI, 45.0-45.2] points). Additionally, patients in IRF compared with those in SNF had larger improvements for mobility score (11.6 [95% CI, 11.5-11.7] points vs 3.5 [95% CI, 3.4-3.6] points) and for self-care score (13.6 [95% CI, 13.5-13.7] points vs 3.2 [95% CI, 3.1-3.3] points). Multivariable, propensity score, and instrumental variable analyses showed a similar magnitude of better improvements in patients admitted to IRF vs those admitted to SNF. The differences between SNF and IRF in odds of 30- to 365-day mortality (unadjusted odds ratio, 0.48 [95% CI, 0.46-0.49]) were reduced but not eliminated in multivariable analysis (adjusted odds ratio, 0.72 [95% CI, 0.69-0.74]) and propensity score analysis (adjusted odds ratio, 0.75 [95% CI, 0.72-0.77]). These differences were no longer statistically significant in the instrumental variable analyses. CONCLUSIONS AND RELEVANCE In this cohort study of a large national sample, inpatient rehabilitation in IRFs for patients with stroke was associated with substantially improved physical mobility and self-care function compared with rehabilitation in SNFs. This finding raises questions about the value of any policy that would reimburse IRFs or SNFs at the same standard rate for stroke.
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Affiliation(s)
- Ickpyo Hong
- University of Texas Medical Branch, School of Health Professions, Division of Rehabilitation Sciences, Galveston
| | - James S. Goodwin
- University of Texas Medical Branch, School of Medicine, Sealy Center on Aging, Department of Internal Medicine, Galveston
| | - Timothy A. Reistetter
- University of Texas Health Science Center at San Antonio, School of Health Professions, Department of Occupational Therapy, San Antonio
| | - Yong-Fang Kuo
- University of Texas Medical Branch, School of Medicine, Sealy Center on Aging, Department of Preventive Medicine and Population Health, Galveston
| | - Trudy Mallinson
- George Washington University, School of Medicine and Health Sciences, Clinical Research and Leadership, Washington, DC
| | - Amol Karmarkar
- University of Texas Medical Branch, School of Health Professions, Division of Rehabilitation Sciences, Galveston; now with Department of Physical Medicine and Rehabilitation, School of Medicine, Virginia Commonwealth University, Richmond
| | - Yu-Li Lin
- University of Texas Medical Branch, School of Medicine, Department of Preventive Medicine and Population Health, Galveston
| | - Kenneth J. Ottenbacher
- University of Texas Medical Branch, School of Health Professions, Sealy Center on Aging, Division of Rehabilitation Sciences, Galveston
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Multidiscipline Stroke Post-Acute Care Transfer System: Propensity-Score-Based Comparison of Functional Status. J Clin Med 2019; 8:jcm8081233. [PMID: 31426354 PMCID: PMC6724215 DOI: 10.3390/jcm8081233] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/15/2019] [Accepted: 08/15/2019] [Indexed: 12/19/2022] Open
Abstract
Few studies have investigated the characteristics of stroke inpatients after post-acute care (PAC) rehabilitation, and few studies have applied propensity score matching (PSM) in a natural experimental design to examine the longitudinal impacts of a medical referral system on functional status. This study coupled a natural experimental design with PSM to assess the impact of a medical referral system in stroke patients and to examine the longitudinal effects of the system on functional status. The intervention was a hospital-based, function oriented, 12-week to 1-year rehabilitative PAC intervention for patients with cerebrovascular diseases. The average duration of PAC in the intra-hospital transfer group (31.52 days) was significantly shorter than that in the inter-hospital transfer group (37.1 days) (p < 0.001). The intra-hospital transfer group also had better functional outcomes. The training effect was larger in patients with moderate disability (Modified Rankin Scale, MRS = 3) and moderately severe disability (MRS = 4) compared to patients with slight disability (MRS = 2). Intensive post-stroke rehabilitative care delivered by per-diem payment is effective in terms of improving functional status. To construct a vertically integrated medical system, strengthening the qualified local hospitals with PAC wards, accelerating the inter-hospital transfer, and offering sufficient intensive rehabilitative PAC days are the most essential requirements.
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Discharge Patterns for Ischemic and Hemorrhagic Stroke Patients Going From Acute Care Hospitals to Inpatient and Skilled Nursing Rehabilitation. Am J Phys Med Rehabil 2019; 97:636-645. [PMID: 29595584 DOI: 10.1097/phm.0000000000000932] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The aim of the study was to explore variation in acute care use of inpatient rehabilitation facilities and skilled nursing facilities rehabilitation after ischemic and hemorrhagic stroke. DESIGN A secondary analysis of Medicare claims data linked to inpatient rehabilitation facilities and skilled nursing facilities assessment files (2013-2014) was performed. RESULTS The sample included 122,084 stroke patients discharged to inpatient or skilled nursing facilities from 3677 acute hospitals. Of the acute hospitals, 3649 discharged patients with an ischemic stroke (range = 1-402 patients/hospital, median = 15) compared with 1832 acute hospitals that discharged patients with hemorrhagic events (range = 1-73 patients/hospital, median = 4). The intraclass correlation coefficient examined variation in discharge settings attributed to acute hospitals (ischemic intraclass correlation coefficient = 0.318, hemorrhagic intraclass correlation coefficient = 0.176). Patients older than 85 yrs and those with greater numbers of co-morbid conditions were more likely to discharge to skilled nursing facilities. Comparison of self-care and mobility across stroke type suggests that patients with ischemic stroke have higher functional abilities at admission. CONCLUSIONS This study suggests demographic and clinical differences among stroke patients admitted for postacute rehabilitation at inpatient rehabilitation facilities and skilled nursing facilities settings. Furthermore, examination of variation in ischemic and hemorrhagic stroke discharges suggests acute facility-level differences and indicates a need for careful consideration of patient and facility factors when comparing the effectiveness of inpatient rehabilitation facilities and skilled nursing facilities rehabilitation.
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18
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Shkirkova K, Connor M, Lamorie-Foote K, Patel A, Liu Q, Ding L, Amar A, Sanossian N, Attenello F, Mack W. Frequency, predictors, and outcomes of readmission to index versus non-index hospitals after mechanical thrombectomy in patients with ischemic stroke. J Neurointerv Surg 2019; 12:136-141. [DOI: 10.1136/neurintsurg-2019-015085] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/02/2019] [Accepted: 07/09/2019] [Indexed: 01/25/2023]
Abstract
BackgroundStroke systems of care employ a hub-and-spoke model, with fewer centers performing mechanical thrombectomy (MT) compared with stroke-receiving centers, where a higher number offer high-level, centralized treatment to a large number of patients.ObjectiveTo characterize rates and outcomes of readmission to index and non-index hospitals for patients with ischemic stroke who underwent MT.MethodsThis study leveraged a population-based, nationally representative sample of patients with stroke undergoing MT from the Nationwide Readmissions Database between 2010 and 2014. Descriptive, logistic regression analyses, and univariate and multivariate logistic regression models were carried out to determine patient- and hospital-level factors, mortality, complications, and subsequent readmissions associated with index and non-index hospitals' 90-day readmissions.ResultsIn the study, 2111 patients with a stroke were treated with MT, of whom 534 were readmitted within 90 days. The most common reasons for readmission were: septicemia (5.9%), atrial fibrillation (4.8%), and cerebral artery occlusion with infarct (4.8%). Among readmitted patients, 387 (74%) were readmitted to index and 136 (26%) to non-index hospitals. On multivariable logistic regression analysis, non-index hospital readmission was not independently associated with major complications (p=0.09), mortality (p=0.34), neurological complications (p=0.47), or second readmission (p=0.92).ConclusionOne-quarter of patients with a stroke treated with MT were readmitted within 90 days, and one quarter of these patients were readmitted to non-index hospitals. Readmission to a non-index hospital was not associated with mortality or increased complication rates. In a hub-and-spoke model it is important that follow-up care for a specialized procedure can be performed effectively at a vast number of non-index hospitals covering a large geographic area.
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First Do No Harm: An Opinion on Bundled Care for Stroke Patients. Arch Phys Med Rehabil 2019; 100:578-580. [DOI: 10.1016/j.apmr.2018.10.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 08/28/2018] [Accepted: 10/09/2018] [Indexed: 11/19/2022]
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Lank RJ, Lisabeth LD, Sánchez BN, Zahuranec DB, Kerber KA, Skolarus LE, Burke JF, Levine DA, Case E, Brown DL, Morgenstern LB. Recurrent stroke in midlife is associated with not having a primary care physician. Neurology 2019; 92:e560-e566. [PMID: 30610095 DOI: 10.1212/wnl.0000000000006878] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 10/08/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine using a population-based study whether midlife stroke patients having a primary care physician (PCP) at the time of first stroke have a lower risk of stroke recurrence and mortality than those who do not have a PCP. METHODS First-ever ischemic stroke patients 45 to 64 years of age at stroke onset were ascertained through the Brain Attack Surveillance in Corpus Christi (BASIC) project from 2000 to 2013 in Texas. Cox proportional hazards models were used to examine the association between not having a PCP and stroke recurrence or all-cause mortality in separate models. Cases were followed up for up to 5 years or until December 31, 2013, whichever came first. Cases were censored for recurrence if they died before experiencing a recurrent event. We adjusted for clinical risk factors that could be associated with having a PCP and recurrence or mortality. RESULTS There were 663 first-occurrence ischemic stroke cases. Of these, 77% had a PCP, 43% were female, and average age was 55.6 years. Five-year recurrence risk was 14.6%, and mortality risk was 19.2%. Not having a PCP was associated with higher recurrence risk (adjusted hazard ratio 1.75, 95% confidence interval 1.02-3.02). Having a PCP was not associated with mortality. Sensitivity analyses showed that results were robust to different ways to adjust for chronic conditions. CONCLUSION This study found lower rates of stroke recurrence among those with a PCP at the time of first stroke. Future studies could determine the value of establishing a PCP before stroke hospital discharge for secondary stroke prevention.
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Affiliation(s)
- Rebecca J Lank
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Lynda D Lisabeth
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Brisa N Sánchez
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Darin B Zahuranec
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Kevin A Kerber
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Lesli E Skolarus
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - James F Burke
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Deborah A Levine
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Erin Case
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Devin L Brown
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor
| | - Lewis B Morgenstern
- From the Stroke Program (R.J.L., L.D.L., D.B.Z., K.A.K., L.E.S., J.F.B., D.A.L., D.L.B., L.B.M.), Department of Epidemiology (L.D.L., E.C.C., L.B.M.), Department of Biostatistics (B.N.S.), and Department of Internal Medicine (D.A.L.), University of Michigan, Ann Arbor.
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Mumma BE, Wilson MD, García-Pintos MF, Erramouspe PJ, Tancredi DJ. Variation in outcomes among 24/7 percutaneous coronary intervention centres for patients resuscitated from out-of-hospital cardiac arrest. Resuscitation 2018; 135:14-20. [PMID: 30590071 DOI: 10.1016/j.resuscitation.2018.12.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 10/29/2018] [Accepted: 12/03/2018] [Indexed: 01/09/2023]
Abstract
BACKGROUND Patients treated at 24/7 percutaneous coronary intervention (PCI) centres following out-of-hospital cardiac arrest (OHCA) have better outcomes than those treated at non-24/7 PCI centres. However, variation in outcomes between 24/7 PCI centres is not well studied. OBJECTIVES To evaluate variation in outcomes among 24/7 PCI centres and to assess stability of 24/7 PCI centre performance. METHODS Adult patients in the California Office of Statewide Health Planning and Development Patient Discharge Database with a "present on admission" diagnosis of cardiac arrest admitted to a 24/7 PCI centre from 2011 to 2015 were included. Primary outcome was good neurologic recovery at hospital discharge. Secondary outcomes were survival to hospital discharge, cardiac catheterisation, and DNR orders within 24 h. Data were analysed using mixed effects logistic regression models. Hospitals were ranked each year and overall. RESULTS Of 27,122 patients admitted to 128 24/7 PCI centres, 41% (11,184) survived and 27% (7188) had good neurologic recovery. Adjusted rates of good neurologic recovery (18%-39%; p,0.001), survival (32%-51%; p < 0.0001), cardiac catheterisation (11%-49%; p < 0.0001) and DNR orders within 24 h (4.8%-49%; p < 0.0001) varied between 24/7 PCI centres. For the 26 hospitals with mean good neurologic rankings in the top or bottom tenth during 2011-2013, 14 (54%) remained in their respective tenth for 2014-2015. CONCLUSION Significant variation exists between 24/7 PCI centres in good neurologic recovery following OHCA and persists over time. Future studies should evaluate hospital-level factors that contribute to these differences in outcomes between 24/7 PCI centres.
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Affiliation(s)
- Bryn E Mumma
- Department of Emergency Medicine, University of California Davis, Sacramento, CA, United States.
| | - Machelle D Wilson
- Department of Public Health Sciences, University of California Davis, Sacramento, CA, United States
| | - María F García-Pintos
- Department of Emergency Medicine, University of California Davis, Sacramento, CA, United States
| | - Pablo J Erramouspe
- Department of Emergency Medicine, University of California Davis, Sacramento, CA, United States
| | - Daniel J Tancredi
- Department of Pediatrics, University of California Davis, Sacramento, CA, United States
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Hsieh CY, Huang HC, Wu DP, Li CY, Chiu MJ, Sung SF. Effect of Rehabilitation Intensity on Mortality Risk After Stroke. Arch Phys Med Rehabil 2018; 99:1042-1048.e6. [DOI: 10.1016/j.apmr.2017.10.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 10/05/2017] [Accepted: 10/09/2017] [Indexed: 01/21/2023]
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Graham JE, Middleton A, Roberts P, Mallinson T, Prvu-Bettger J. Health Services Research in Rehabilitation and Disability-The Time is Now. Arch Phys Med Rehabil 2018; 99:198-203. [PMID: 28782540 PMCID: PMC5748255 DOI: 10.1016/j.apmr.2017.06.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 06/23/2017] [Accepted: 06/28/2017] [Indexed: 01/17/2023]
Abstract
Policy drives practice, and health services research (HSR) is at the intersection of policy, practice, and patient outcomes. HSR specific to rehabilitation and disability is particularly needed. As rehabilitation researchers and providers, we are uniquely positioned to provide the evidence that guides reforms targeting rehabilitative care. We have the expertise to define the value of rehabilitation in a policy-relevant context. HSR is a powerful tool for providing this evidence. We need to continue building capacity for conducting rigorous, timely rehabilitation-related HSR. Fostering stakeholder engagement in these research efforts will ensure we maintain a patient-centered focus as we address the "Triple Aim" of better care, better health, and better value. In this Special Communication we discuss the role of rehabilitation researchers in HSR. We also provide information on current resources available in our field for conducting HSR and identify gaps for capacity building and future research. Health care reforms are a reality, and through HSR we can give rehabilitation a strong voice during these transformative times.
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Affiliation(s)
- James E Graham
- Division of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX.
| | - Addie Middleton
- Division of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX
| | | | - Trudy Mallinson
- School of Medicine & Health Sciences, George Washington University, Washington, DC
| | - Janet Prvu-Bettger
- Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC
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Post Hospital Discharge Care for Complex Chronic Conditions: the Unique Challenges Facing Stroke Patients in their Homes. CURRENT CARDIOVASCULAR RISK REPORTS 2017. [DOI: 10.1007/s12170-017-0560-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Cho JS, Hu Z, Fell N, Heath GW, Qayyum R, Sartipi M. Hospital Discharge Disposition of Stroke Patients in Tennessee. South Med J 2017; 110:594-600. [PMID: 28863224 PMCID: PMC5774648 DOI: 10.14423/smj.0000000000000694] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVES Early determination of hospital discharge disposition status at an acute admission is extremely important for stroke management and the eventual outcomes of patients with stroke. We investigated the hospital discharge disposition of patients with stroke residing in Tennessee and developed a predictive tool for clinical adoption. Our investigational aims were to evaluate the association of selected patient characteristics with hospital discharge disposition status and predict such status at the time of an acute stroke admission. METHODS We analyzed 127,581 records of patients with stroke hospitalized between 2010 and 2014. Logistic regression was used to generate odds ratios with 95% confidence intervals to examine the factor outcome association. An easy-to-use clinical predictive tool was built by using integer-based risk scores derived from coefficients of multivariable logistic regression. RESULTS Among the 127,581 records of patients with stroke, 86,114 (67.5%) indicated home discharge and 41,467 (32.5%) corresponded to facility discharge. All considered patient characteristics had significant correlations with hospital discharge disposition status. Patients were at greater odds of being discharged to another facility if they were women; older; black; patients with a subarachnoid or intracerebral hemorrhage; those with the comorbidities of diabetes mellitus, heart disease, hypertension, chronic kidney disease, arrhythmia, or depression; those transferred from another hospital; or patients with Medicare as the primary payer. A predictive tool had a discriminatory capability with area under the curve estimates of 0.737 and 0.724 for derivation and validation cohorts, respectively. CONCLUSIONS Our investigation revealed that the hospital discharge disposition pattern of patients with stroke in Tennessee was associated with the key patient characteristics of selected demographics, clinical indicators, and insurance status. These analyses resulted in the development of an easy-to-use predictive tool for early determination of hospital discharge disposition status.
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Affiliation(s)
- Jin S Cho
- From the Departments of Computer Science and Engineering, Physical Therapy, Health and Human Performance, University of Tennessee, Chattanooga, and Erlanger Health System, Chattanooga, Tennessee
| | - Zhen Hu
- From the Departments of Computer Science and Engineering, Physical Therapy, Health and Human Performance, University of Tennessee, Chattanooga, and Erlanger Health System, Chattanooga, Tennessee
| | - Nancy Fell
- From the Departments of Computer Science and Engineering, Physical Therapy, Health and Human Performance, University of Tennessee, Chattanooga, and Erlanger Health System, Chattanooga, Tennessee
| | - Gregory W Heath
- From the Departments of Computer Science and Engineering, Physical Therapy, Health and Human Performance, University of Tennessee, Chattanooga, and Erlanger Health System, Chattanooga, Tennessee
| | - Rehan Qayyum
- From the Departments of Computer Science and Engineering, Physical Therapy, Health and Human Performance, University of Tennessee, Chattanooga, and Erlanger Health System, Chattanooga, Tennessee
| | - Mina Sartipi
- From the Departments of Computer Science and Engineering, Physical Therapy, Health and Human Performance, University of Tennessee, Chattanooga, and Erlanger Health System, Chattanooga, Tennessee
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Ormseth CH, Sheth KN, Saver JL, Fonarow GC, Schwamm LH. The American Heart Association's Get With the Guidelines (GWTG)-Stroke development and impact on stroke care. Stroke Vasc Neurol 2017; 2:94-105. [PMID: 28959497 PMCID: PMC5600018 DOI: 10.1136/svn-2017-000092] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Accepted: 04/26/2017] [Indexed: 01/06/2023] Open
Abstract
The American Heart Association’s Get With the Guidelines (GWTG)-Stroke programme has changed stroke care delivery in the USA since its establishment in 2003. GWTG is a voluntary registry and continuous quality improvement initiative that collects data on patient characteristics, hospital adherence to guidelines and inpatient outcomes. Implementation of the programme saw increased provision of evidence-based care and improved patient outcomes. This review will describe the development of the programme and discuss the impact on stroke outcomes and transformation of stroke care delivery that followed its implementation.
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Affiliation(s)
- Cora H Ormseth
- Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Kevin N Sheth
- Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Jeffrey L Saver
- Department of Neurology, UCLA Medical Center, Los Angeles, California, USA
| | - Gregg C Fonarow
- Department of Cardiology, UCLA Medical Center, Los Angeles, California, USA
| | - Lee H Schwamm
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
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