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Panda BK, Suryawanshi VR, Attarde G, Borkar N, Iyer S, Shah J. Author Response. Indian J Crit Care Med 2024; 28:408-409. [PMID: 38585322 PMCID: PMC10998509 DOI: 10.5005/jp-journals-10071-24685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024] Open
Abstract
How to cite this article: Panda BK, Suryawanshi VR, Attarde G, Borkar N, Iyer S, Shah J. Author Response. Indian J Crit Care Med 2024;28(4):408-409.
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Affiliation(s)
- Bijoy K Panda
- Department of Pharmacy Practice, Krishna Institute of Pharmacy, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, Maharashtra, India
| | - Vaibhav R Suryawanshi
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Gargi Attarde
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Nilima Borkar
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Shivakumar Iyer
- Department of Critical Care Medicine, Bharati Vidyapeeth (Deemed to be University) Medical College, Pune, Maharashtra, India
| | - Jignesh Shah
- Department of Critical Care Medicine, Bharati Vidyapeeth (Deemed to be University) Medical College, Pune, Maharashtra, India
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Jia W, Jiang Y, Ma R, Huang X, Gu H, Meng X, Li H, Zhao X, Wang Y, Wang Y, Li Z, Wang C. 10-year Temporal Trends of Intravenous Thrombolysis in Acute Ischemic Stroke: Analysis of the China National Stroke Registry I-Ⅲ. J Stroke Cerebrovasc Dis 2024; 33:107431. [PMID: 37951082 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/12/2023] [Accepted: 10/12/2023] [Indexed: 11/13/2023] Open
Abstract
OBJECTIVES To investigate the 10-year trend in healthcare quality of intravenous thrombolysis (IVT) with recombinant tissue plasminogen activator in acute ischemic stroke (AIS) in China. MATERIALS AND METHODS We analyzed 42,188 AIS within 7 days of onset from the China National Stroke Registry (CNSR) Ⅰ-Ⅲ. Primary outcomes were temporal changes in the proportion of patients arriving at the hospital within 3.5 hours (and 2 hours) of onset and receiving IVT within 4.5 hours (and 3 hours), stratified by region and hospital tier. Secondary outcomes included temporal changes in door-to-needle time (DNT), DNT ≤60 min and favorable outcome defined as a 90-day modified Rankin Scale (mRS) of 0-1. RESULTS Among patients arriving at the hospital within 3.5 hours of onset, 13.5%, 7.1% and 33.4% patients received IVT within 4.5 hours in CNSR Ⅰ, Ⅱ and Ⅲ, respectively, including a higher proportion from eastern China (37.0%) and tertiary hospitals (36.5%). The median DNT was shorter in CNSR Ⅲ (60.0 min) than those in Ⅱ (95.0 min) and I (94.0 min). The proportion of patients with DNT ≤60 min was greater in Ⅲ (53.4%) than those in Ⅱ (26.7%) and Ⅰ (13.4%). The proportion of favorable outcomes was higher in CNSR Ⅲ (72.8%) than those in Ⅱ (49.6%) and Ⅰ (49.4%). Similar trends were observed for patients arriving at the hospital within 2 hours and receiving IVT within 3 hours of onset. CONCLUSIONS The healthcare quality of IVT has improved remarkably in the past decade, notably in eastern China and tertiary hospitals.
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Affiliation(s)
- Weili Jia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Yong Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Ruihua Ma
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Xinying Huang
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Hongqiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Center of Stroke, Beijing Institute for Brain Disorders; Advanced Innovation Center for Human Brain Protection, Capital Medical University; Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Center of Stroke, Beijing Institute for Brain Disorders; Advanced Innovation Center for Human Brain Protection, Capital Medical University; Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences; Chinese Institute for Brain Research, Beijing, China.
| | - Chunjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
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Panda BK, Suryawanshi VR, Attarde G, Borkar N, Iyer S, Shah J. Correlation of Quality Metrics of Acute Stroke Care with Clinical Outcomes in an Indian Tertiary-care University Hospital: A Prospective Evidence-based Study. Indian J Crit Care Med 2023; 27:806-815. [PMID: 37936803 PMCID: PMC10626231 DOI: 10.5005/jp-journals-10071-24566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 09/25/2023] [Indexed: 11/09/2023] Open
Abstract
Aim To characterize the impact of adherence to quality metrics of stroke care on the clinical outcomes of ischemic stroke (IS) and intracerebral hemorrhage (ICH) admissions. Methods Consecutive patients with acute stroke were prospectively followed up for their demographic and clinical characteristics, acute stroke management, and associated clinical outcomes at discharge. Stroke quality metrics [adopted from the American Heart Association (AHA)/American Stroke Association's Get with The Guidelines (GWTG)] with a specific interest in an association between acute reperfusion therapies and functional recovery in stroke patients are analyzed and presented. A composite measure of care was considered "0 (non-adherence) to 1 (adherence)." An all-or-none measure of care was calculated to check whether eligible patients received all the quality-of-care interventions. Multivariate Cox regression models were used to study an association between optimal adherence and clinical outcomes. Results During the study period, of the total 256 stroke admissions, 200 (78.1%) patients had IS, and the remaining 56 (21.9%) patients had ICH. The median [interquartile range (IQR)] age of total stroke admissions was 57 (36-78) years. Male preponderance was observed (IS: 80% and ICH: 67.9%). The conformity of performance metrics in IS patients was from 69.1% [95% confidence interval (CI), 68.5-69.6] for the use of deep vein thrombosis prophylaxis (DVTp) to 97.8% (95% CI, 96.2-98.6) for the use of statins. In ICH patients, it ranged from 61.7% (95% CI, 60.4-62.5) for the use of DVTp to 89.9% (95% CI, 88.6-89.7) for stroke rehabilitation. The unadjusted odds ratio (OR) of mortality (in-hospital plus the 28th-day postdischarge) was higher in ICH patients vs IS patients (4.42, p = 0.005). Optimal adherence with intravenous recombinant tissue plasminogen activator (IV-rtPA) therapy [hazards ratio (HR) = 0.23], in-hospital acute measures [IS (HR = 0.41) and ICH (HR = 0.63)], and discharge measures [IS (HR = 0.35) and ICH (HR = 0.45)] were associated with reduced hazards of the 28th-day mortality in both cohorts. Compared to ICH, IS patients had significantly improved neurofunctional recovery [modified Rankin score (mRS) ≤ 2, p < 0.01]. Conclusion Adherence to quality metrics and performance measures was associated with low mortality and favorable clinical outcomes. Also, DVTp as an in-hospital (acute) measure of stroke care needs attention in both cerebrovascular events. How to cite this article Panda BK, Suryawanshi VR, Attarde G, Borkar N, Iyer S, Shah J. Correlation of Quality Metrics of Acute Stroke Care with Clinical Outcomes in an Indian Tertiary-care University Hospital: A Prospective Evidence-based Study. Indian J Crit Care Med 2023;27(11):806-815.
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Affiliation(s)
- Bijoy Kumar Panda
- Department of Pharmacy Practice, Krishna Institute of Pharmacy, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, Maharashtra, India
| | - Vaibhav R Suryawanshi
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Gargi Attarde
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Nilima Borkar
- Department of Pharmacy Practice, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Pune, Maharashtra, India
| | - Shivakumar Iyer
- Department of Critical Care Medicine, Bharati Vidyapeeth (Deemed to be University), Medical College, Pune, Maharashtra, India
| | - Jignesh Shah
- Department of Critical Care Medicine, Bharati Vidyapeeth (Deemed to be University), Medical College, Pune, Maharashtra, India
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Lens C, Coeckelberghs E, Seys D, Demeestere J, Weltens C, Vanhaecht K, Lemmens R. Variation in stroke care at the hospital level: A cross-sectional multicenter study. Front Neurol 2022; 13:1004901. [PMID: 36313511 PMCID: PMC9606690 DOI: 10.3389/fneur.2022.1004901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Stroke is one of the leading causes of mortality and disability. Improving patient outcomes can be achieved by improving stroke care and adherence to guidelines. Since wide variation in adherence rates for stroke guidelines still exists, we aimed to describe and compare stroke care variability within Belgian hospitals. Materials and methods An observational, multicenter study was performed in 29 Belgian hospitals. We retrospectively collected patient characteristics, quality indicators, and time metrics from the last 30 consecutive patients per hospital, diagnosed with ischemic stroke in 2019 with structured questionnaires. Mean adherence ratios (%) ± SD (minimum - maximum) were calculated. Results We analyzed 870 patient records from 29 hospitals. Results showed large inter- and intrahospitals variations in adherence for various indicators. Almost all the patients received brain imaging (99.7%) followed by admission at a stroke unit in 82.9% of patients. Of patients not receiving thrombolysis, 92.5% of patients were started on antithrombotic drugs. Indicators with moderate median adherence but large interhospital variability were glycemia monitoring [82.3 ± 16.7% (26.7-100.0%)], performing clinical neurological examination and documentation of stroke severity [63.1 ± 36.8% (0-100%)], and screening for activities of daily living [51.1 ± 40.3% (0.0-100.0%)]. Other indicators lacked adequate adherence: swallowing function screening [37.0 ± 30.4% (0.0-93.3%)], depression screening [20.2 ± 35.8% (0.0-100%)], and timely body temperature measurement [15.1 ± 17.0% (0.0-60%)]. Conclusion We identified high adherence to guidelines for some indicators, but lower rates with large interhospital variability for other recommendations also based on robust evidence. Improvement strategies should be implemented to improve the latter.
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Affiliation(s)
- Charlotte Lens
- Department of Public Health, Leuven Institute for Healthcare Policy, KU Leuven—University of Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Ellen Coeckelberghs
- Department of Public Health, Leuven Institute for Healthcare Policy, KU Leuven—University of Leuven, Leuven, Belgium
| | - Deborah Seys
- Department of Public Health, Leuven Institute for Healthcare Policy, KU Leuven—University of Leuven, Leuven, Belgium
| | - Jelle Demeestere
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Experimental Neurology, KU Leuven—University of Leuven, Leuven, Belgium
- VIB, Laboratory of Neurobiology, Center for Brain & Disease Research, Leuven, Belgium
| | - Caroline Weltens
- Department of Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Kris Vanhaecht
- Department of Public Health, Leuven Institute for Healthcare Policy, KU Leuven—University of Leuven, Leuven, Belgium
- Department of Quality, University Hospitals Leuven, Leuven, Belgium
| | - Robin Lemmens
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
- Department of Neurosciences, Experimental Neurology, KU Leuven—University of Leuven, Leuven, Belgium
- VIB, Laboratory of Neurobiology, Center for Brain & Disease Research, Leuven, Belgium
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Kumi F, Bugri AA, Adjei S, Duorinaa E, Aidoo M. Quality of acute ischemic stroke care at a tertiary Hospital in Ghana. BMC Neurol 2022; 22:28. [PMID: 35039001 PMCID: PMC8762857 DOI: 10.1186/s12883-021-02542-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 12/21/2021] [Indexed: 11/10/2022] Open
Abstract
Background Information on the quality of acute ischemic stroke care provided in lower-to-middle income countries is limited. Objective This study was undertaken to examine the quality of acute ischemic stroke care provided at Tamale Teaching Hospital in Ghana. Methods The medical records of patients admitted into the medical ward of the hospital between January to October 2021 were reviewed retrospectively. Extent of compliance to 15 stroke performance indicators were determined. Results Under the study period, 105 patients were admitted at the hospital with acute ischemic stroke. The mean (±SD) age was 65 ± 12 years; 38.1% were males; 65.7% had National Health Insurance Scheme coverage. Glasgow Coma Scale was the only functional stroke rating scale used by physicians to rate stroke severity. About a quarter of the patients had CT scan performed within 24 h of admission. Less than a quarter of the patients had a last known well time documented. Rate of thrombolytic administration was 0%. Less than a quarter of the patients were prescribed venous thromboembolism prophylaxis on the day of admission or day after. Only 13.8% of patients had documented reasons for not being prescribed venous thromboembolism prophylaxis. Antiplatelet therapy was prescribed to 33.3% of the patients by the end of day 2 of admission. Anticoagulation was prescribed to all patients who had comorbid condition of atrial fibrillation as part of the discharge medications. More than half of the patients were discharged to go home with statin medications. Documented stroke education was provided to 31.4% caretakers or patients. Slightly less than half of the patients were assessed for or received rehabilitation. Less than a quarter had documented dysphagia screening within 24 h of admission. None of the patient had their stroke severity rated with National Institutes of Health Stroke Scale on arrival. No patient obtained carotid imaging assessment by end of day 2. Conclusion There were several gaps in the quality of acute ischemic stroke care provided to patients at the Tamale Teaching Hospital. With the exception of discharging patients on statin medications, there was poor adherence to all other stroke performance indicators.
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Affiliation(s)
- Frank Kumi
- Pharmacy Unit, King's Medical Center, Tamale, Ghana.
| | - Amos A Bugri
- Pharmacy Directorate, Tamale Teaching Hospital, Tamale, Ghana
| | - Stephen Adjei
- Pharmacy Directorate, Tamale Teaching Hospital, Tamale, Ghana
| | - Elvis Duorinaa
- Pharmacy Directorate, Tamale Teaching Hospital, Tamale, Ghana
| | - Matthew Aidoo
- Department of Pharmacology, University for Development Studies, Tamale, Ghana
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Suo Y, Chen W, Pan Y, Li H, Meng X, Li Z, Wang C, Jing J, Wang Y, Wang Y. Concurrency of Early-Age Exposure to Chinese Famine and Diabetes Increases Recurrence of Ischemic Stroke. Front Neurol 2021; 11:520633. [PMID: 33551946 PMCID: PMC7855705 DOI: 10.3389/fneur.2020.520633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 12/16/2020] [Indexed: 11/16/2022] Open
Abstract
Background and Purpose: Early age exposure to the Chinese Great Leap Forward famine (1959–1961) is associated with the incidence of risk factors for ischemic stroke. This study aims to examine the relationship between early age famine exposure and 12-month stroke recurrence. We sought to explore the interaction between famine exposure status and metabolic phenotypes on stroke recurrence and how the adherence of crucial evidence-based key performance indicators (KPI) would modify this interaction. Methods: We analyzed data of patients who were born between 1953 and 1964 in the China National Stroke Registry II (CNSR-II). The study population was further divided into five subgroups for comparing 12-month stroke recurrence. A multivariate Cox proportional hazard regression model was used in analyzing the impact of the concurrence of metabolic phenotypes—type 2 diabetes (T2D) or metabolic syndrome (MetS)—and early-age famine exposure on recurrent risk. The influence of the adherence to predefined KPI and concurrency of metabolic phenotype was also evaluated. Results: Concurrent T2D and early age famine exposure was associated with an increased recurrence risk of ischemic stroke with 12 months [adjusted hazard ratio (HR): 1.63, 95% confidence interval (CI) 1.28–2.07]. Optimal adherence to KPI was not associated with significantly reduced risk of 12-month stroke recurrence (adjusted HR: 0.80, 95% CI: 0.51–1.26). Conclusions: Concurrency of early-age famine exposure and diabetes mellitus was associated with a higher risk of stroke recurrence within 12 months, and adherence to evidence-based KPI did not reduce the risk significantly.
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Affiliation(s)
- Yue Suo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Weiqi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Chunjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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Li L, Pan Y, Wang M, Jing J, Meng X, Jiang Y, Guo C, Jin Z, Wang Y. Trends and predictors of myocardial infarction or vascular death after ischaemic stroke or TIA in China, 2007-2018: insights from China National Stroke Registries. Stroke Vasc Neurol 2020; 6:214-221. [PMID: 33127855 PMCID: PMC8258052 DOI: 10.1136/svn-2020-000503] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/09/2020] [Accepted: 09/24/2020] [Indexed: 11/04/2022] Open
Abstract
Background Although stroke management, primary and secondary preventions have been improved in China last decades, the trends and predictors of major vascular events after ischaemic stroke or transient ischaemic attack (TIA) at national scale are less known. Methods Data were obtained from the three phases of China National Stroke Registry (CNSR), including CNSR-Ⅰ (years 2007–2008), CNSR-Ⅱ (years 2012–2013) and CNSR-III (years 2015–2018). For comparison, patients who were diagnosed as ischaemic stroke or TIA were included. Kaplan-Meier estimates of myocardial infarction (MI) or vascular death were calculated at 1 year. Independent predictors were further assessed with a Cox proportional hazards regression. Results From 2007 to 2018, a total of 50 284 patients with ischaemic stroke or TIA were enrolled in this study. A declining trend was found in 1-year MI or vascular death (p for trend <0.001), while recurrent stroke depicted a U-shape curve with a nadir in 2012–2013 cohort. A similar trend was also observed in patients who were admitted to 26 hospitals in all three CNSRs. In 2015–2018 cohort, only 251 (1.7%; 95% CI 1.5% to 1.9%) MI or vascular death had occurred at 1 year. Older age, previous stroke or TIA, history of coronary artery disease and the National Institutes of Health Stroke Scale >6 were associated with both an increased risk of MI or vascular death and recurrent stroke. While early antiplatelet therapy and lipid-lowering agents at discharge predicted a reduced risk. Conclusion A declining trend and current low incidence of MI or vascular death, rather than recurrent stroke, after ischaemic stroke or TIA were observed in China. Traditional factors were found as independent predictors. These findings suggested there is still much room to improve for stroke management.
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Affiliation(s)
- Long Li
- Department of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Caixia Guo
- Department of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zening Jin
- Department of Cardiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China .,Department of Cardiology, Beijing Anzhen 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, China
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Mohammed M, Zainal H, Tangiisuran B, Harun SN, Ghadzi SM, Looi I, Sidek NN, Yee KL, Aziz ZA. Impact of adherence to key performance indicators on mortality among patients managed for ischemic stroke. Pharm Pract (Granada) 2020; 18:1760. [PMID: 32256900 PMCID: PMC7092711 DOI: 10.18549/pharmpract.2020.1.1760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 02/09/2020] [Indexed: 01/01/2023] Open
Abstract
Background: Stroke is a leading cause of death worldwide. The cases of acute ischemic stroke are on the increase in the Asia Pacific, particularly in Malaysia. Various health organizations have recommended guidelines for managing ischemic stroke, but adherence to key performance indicators (KPI) from the guidelines and impact on patient outcomes, particularly mortality, are rarely explored. Objective: This study aims to evaluate the impact of adherence to key performance indicators on mortality among patients managed for ischemic stroke. Methods: We included all first-ever ischemic stroke patients enrolled in the multiethnic Malaysian National Neurology Registry (NNeuR) - a prospective cohort study and followed-up for six months. Patients’ baseline clinical characteristics, risk factors, neurological findings, treatments, KPI and mortality outcome were evaluated. The KPI nonadherence (NAR) and relationship with mortality were evaluated. NAR>25% threshold was considered suboptimal. Results: A total of 579 first-ever ischemic stroke patients were included in the final analysis. The overall mortality was recorded as 23 (4.0%) in six months, with a median (interquartile) age of 65 (20) years. Majority of the patients (dead or alive) had partial anterior circulation infarct, PACI (43.5%; 34.0%) and total anterior circulation infarct, TACI (26.1%; 8.8%). In addition, DVT prophylaxis (82.8%), anticoagulant for atrial fibrillation (AF) patients (48.8%) and rehabilitation (26.2%) were considered suboptimal. NAR < 2 was significantly associated with a decrease in mortality (odds ratio 0.16; 0.02-0.12) compared to NAR>2. Survival analysis showed that death is more likely in patients with NAR>2 (p=0.05). Conclusions: KPI nonadherence was associated with mortality among ischemic stroke patients. The adherence to the KPI was sub-optimal, particularly in DVT prophylaxis, anticoagulant for AF patients and rehabilitation. These findings reflect the importance of continuous quality measurement and implementation of evidence recommendations in healthcare delivery to achieve optimal outcome among stroke patients.
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Affiliation(s)
- Mustapha Mohammed
- School of Pharmaceutical Sciences. University of Science Malaysia. Pulau Pinang (Malaysia).
| | - Hadzliana Zainal
- School of Pharmaceutical Sciences. University of Science Malaysia. Pulau Pinang (Malaysia).
| | | | - Sabariah N Harun
- School of Pharmaceutical Sciences. University of Science Malaysia. Pulau Pinang (Malaysia).
| | - Siti M Ghadzi
- School of Pharmaceutical Sciences. University of Science Malaysia. Pulau Pinang (Malaysia).
| | - Irene Looi
- Clinical Research Centre, Hospital Seberang Jaya, Pulau Pinang (Malaysia).
| | - Norsima N Sidek
- Clinical Research Centre, Hospital Sultanah Nur Zahirah. Terengganu (Malaysia).
| | - Keng L Yee
- National Institute of Health, Ministry of Health. Selangor (Malaysia).
| | - Zariah A Aziz
- Clinical Research Centre, Hospital Sultanah Nur Zahirah. Terengganu (Malaysia).
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