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Jonsson A, Cosgrave N, Healy A, Mellon L, Williams DJ, Hickey A. Maximising the Quality of Stroke Care: Reporting of Data Collection Methods and Resourcing in National Stroke Registries: A Systematic Review. J Med Syst 2024; 48:100. [PMID: 39466451 DOI: 10.1007/s10916-024-02119-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 10/16/2024] [Indexed: 10/30/2024]
Abstract
Stroke registries are tools for improving care and advancing research. We aim to describe the methodology and resourcing of existing national stroke registries. We conducted a systematic search of the published, peer-reviewed literature and grey literature examining descriptions of data collection methods and resourcing of national stroke registries published from 2012 to 2023. The systematic review was registered in PROSPERO (CRD42023393841). 101 records relating to 21 registries in 19 countries were identified. They universally employed web-based platforms for data collection. The principal profession of data collectors was nursing. All included the acute phase of care, 28% (6) registered the pre-hospital (ambulance) phase and 14% (3) included rehabilitation. 80% (17) collected outcome data. The registries varied in their approach to outcome data collection; in 9 registries it was collected by hospitals, in 2 it was collected by the registry, and 7 had linkage to national administrative databases allowing follow-up of a limited number of end points. Coverage of the total number of strokes varies from 6 to 95%. Despite widespread use of Electronic Health Records (EHRs) the ability to automatically populate variables remained limited. Governance and management structures are diverse, making it challenging to compare their resourcing. Data collection for clinical registries requires time and necessary skills and imposes a significant administrative burden on the professionals entering data. We highlight the role of clinical registries as powerful instruments for quality improvement. Future work should involve creating a central repository of stroke registries to enable the development of new registries and facilitate international collaboration.
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Affiliation(s)
- Agnes Jonsson
- Department of Medicine, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
| | - Nicole Cosgrave
- Department of Medicine, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Anna Healy
- Department of Geriatric and Stroke Medicine, Beaumont University Hospital, Dublin, Ireland
| | - Lisa Mellon
- School of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - David J Williams
- Department of Medicine, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Department of Geriatric and Stroke Medicine, Beaumont University Hospital, Dublin, Ireland
| | - Anne Hickey
- School of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland
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Matsuo R. Registry Studies of Stroke in Japan. J Atheroscler Thromb 2023; 30:1095-1103. [PMID: 37468262 PMCID: PMC10499457 DOI: 10.5551/jat.rv22008] [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: 05/19/2023] [Accepted: 06/02/2023] [Indexed: 07/21/2023] Open
Abstract
Recently, the Cerebrovascular and Cardiovascular Disease Control Act was enacted, for which it was necessary to establish a comprehensive and accurate nationwide database and promote rational and economical stroke countermeasures in Japan, thus serving the public interest. Among the many studies on stroke registries, the Fukuoka Stroke Registry, a regional cohort, provides highly accurate information, and the Japanese Stroke Data Bank, a nationwide cohort, is highly comprehensive. The findings of these studies have contributed to the construction of evidence and the establishment of guidelines for stroke management. In the Nationwide survey of Acute Stroke care capacity for Proper dEsignation of Comprehensive stroke CenTer in Japan, research on improving the quality of medical care to close the gap between guidelines and clinical practice was performed using electronic medical records. This has enabled the recommendation of medical policies in Japan by visualizing medical care. In the era of healthcare big data and the Internet of Things, plenty of healthcare information is automatically recorded electronically and incorporated into databases. Thus, the establishment of stroke registries with the effective utilization of these electronic records can contribute to the development of stroke care.
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Affiliation(s)
- Ryu Matsuo
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Wang W, Liu M, He Q, Wang M, Xu J, Li L, Li G, He L, Zou K, Sun X. Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment. BMC Med Res Methodol 2023; 23:95. [PMID: 37081410 PMCID: PMC10120171 DOI: 10.1186/s12874-023-01922-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 04/13/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of data source profiles may increase the credibility of evidence generated from these data. This study conducted a systematic literature review to evaluate the reporting characteristics of databases used by RCD studies to explore the effects of drug treatment. METHODS Observational studies published in 2018 that used RCD to explore the effects of drug treatment were identified by searching PubMed. We categorized eligible reports into two groups by journal impact factor (IF), including the top 5 general medical journals (NEJM, Lancet, JAMA, BMJ and JAMA Internal Medicine) and the other journals. The reporting characteristics of the databases used were described and compared between the two groups and between studies citing and not citing database references. RESULTS A total of 222 studies were included, of which 53 (23.9%) reported that they applied data linkage, 202 (91.0%) reported the type of database, and 211 (95.0%) reported the coverage of the data source. Only 81 (36.5%) studies reported the timeframe of the database. Studies in high-impact journals were more likely to report that they applied data linkage (65.1% vs. 20.2%) and used electronic medical records (EMR) (73.7% vs. 30.0%) and national data sources (77.8% vs. 51.3%) than those published in other medical journals. There were 137/222 (61.7%) cited database references. Studies with database-specific citations had better reporting of the data sources and were more likely to publish in high-impact journals than those without (mean IF, 6.08 vs. 4.09). CONCLUSIONS Some deficits were found in the reporting quality of databases in studies that used RCD to explore the effects of drug treatment. Studies citing database-specific references may provide detailed information regarding data source characteristics. The adoption of reporting guidelines and education on their use is urgently needed to promote transparency by research groups.
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Affiliation(s)
- Wen Wang
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mei Liu
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Qiao He
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Mingqi Wang
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Jiayue Xu
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Ling Li
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Guowei Li
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, L8S 4L8, Canada
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, 510317, Guangdong, China
- Biostatistics Unit, Research Institute at St. Joseph's Healthcare Hamilton, Hamilton, ON, L8N 4A6, Canada
| | - Lin He
- Intelligence Library Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Kang Zou
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China
| | - Xin Sun
- Chinese Evidence-based Medicine Center and Cochrane China Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, 610041, Sichuan, China.
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China.
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China.
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Prang KH, Karanatsios B, Verbunt E, Wong HL, Yeung J, Kelaher M, Gibbs P. Clinical registries data quality attributes to support registry-based randomised controlled trials: A scoping review. Contemp Clin Trials 2022; 119:106843. [PMID: 35792338 DOI: 10.1016/j.cct.2022.106843] [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: 01/31/2022] [Revised: 06/23/2022] [Accepted: 06/26/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Clinical registries have become an important platform for performance measurement, quality improvement, and clinical research including registry-based randomised controlled trials (RRCTs). However, the success of RRCTs is highly dependent on the quality of the registry. The aim of this study was to undertake a scoping review to identify the key characteristics that a registry must possess to be considered of high quality to successfully support the conduct of a RRCT. METHODS A comprehensive search of four databases and grey literature was conducted. A narrative synthesis was conducted with a focus on summarising the characteristics that a high-quality registry must possess to support the conduct of RRCTs, and the mechanisms underpinning the collection of high-quality data. RESULTS A total of 50 articles were included. Data accuracy, completeness, population capture, data standardisation, and timeliness were identified as essential data attributes of a high-quality clinical registry. The legal and ethical environment in which a registry operates, the available infrastructure support, and ongoing participation by healthcare providers were identified as impacting the collection of high-quality data. CONCLUSIONS This review summarises the considerable work undertaken to determine the criteria with which to judge the suitability of a clinical registry to support a RRCT. Moving forward, the certification of individual clinical registries may be one way of identifying registries that can support a RRCT. In the interim, we propose the Registry Attributes Framework which can be used to ascertain the suitability of a registry to support a RRCT. Ultimately, the ideal goal should be to define minimum acceptable standards for a registry's key performance indicators (as depicted in the Framework) that would determine its certification status. New registries planned to support a RRCT should be designed and constructed against agreed standards once these are established.
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Affiliation(s)
- Khic-Houy Prang
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Bill Karanatsios
- Department of Surgery, Western Precinct, The University of Melbourne, Parkville, VIC, Australia; Western Health Chronic Disease Alliance, Western Health, St Albans, VIC, Australia.
| | - Ebony Verbunt
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Hui-Li Wong
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia; Department of Medical Oncology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
| | - Justin Yeung
- Department of Surgery, Western Precinct, The University of Melbourne, Parkville, VIC, Australia; Western Health Chronic Disease Alliance, Western Health, St Albans, VIC, Australia.
| | - Margaret Kelaher
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Peter Gibbs
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia; Department of Medical Oncology, Western Health, Sunshine, VIC, Australia.
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Hsieh CY, Su CC, Lai ECC, Chen YS, Huang TH, Kao Yang YH, Chen CH, Sung SF, Huang CW. Risk of Incident Epilepsy After a Middle Cerebral Artery Territory Infarction. Front Neurol 2022; 13:765969. [PMID: 35309553 PMCID: PMC8930196 DOI: 10.3389/fneur.2022.765969] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 01/31/2022] [Indexed: 11/18/2022] Open
Abstract
Background Among poststroke morbidities, poststroke epilepsy (PSE) has been identified as a significant clinical issue. Although middle cerebral artery (MCA) infarct is the most common type of stroke among all vascular territories, very few studies specifically focused on the risk factors leading to PSE in patients with MCA infarct. Methods A population study in Taiwan has been conducted, linking the National Health Insurance Research Database and Hospital Stroke Registry, from 2001 to 2015 and 2006 to 2010, respectively. Patients were divided into MCA and non-MCA groups, and the diagnosis of incident epilepsy between the groups has been compared. The multivariable Cox proportional hazard model was used to identify the risk factors for developing PSE. The distribution of time to PSE was estimated using the Kaplan–Meier method. Results In total, 1,838 patients were recruited, with 774 and 1,064 in the MCA and non-MCA groups, respectively. PSE incidence in the MCA group was 15.5% vs. 6.2% in the non-MCA group, with a hazard ratio of (95% CI) 2.06 (1.33–3.19). Factors significantly associated with PSE included atrial fibrillation, depression, National Institutes of Health Stroke Scale (NIHSS) scores of ≥ 16, and alert on arrival. For patients with MCA infarct, higher NIHSS and Glasgow coma scale scores, the presence of visual field defects and weakness, urination control impairment, and complications during hospitalization were associated with a higher risk for PSE development. Conclusions This study established the conditions leading to a higher risk of PSE and identified the important clinical risk factors in patients experiencing MCA infarct. Efforts to manage these risk factors may be important in preventing PSE in patients with MCA infarct.
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Affiliation(s)
- Cheng-Yang Hsieh
- Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chien-Chou Su
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Shiue Chen
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Tzu-Hsin Huang
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yea-Huei Kao Yang
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Hung Chen
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan
| | - Chin-Wei Huang
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- *Correspondence: Chin-Wei Huang
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Tan KS, Yoon BW, Lin RT, Mehndiratta MM, Suwanwela NC, Venketasubramanian N. 10th Anniversary of Asia Pacific Stroke Organization: State of Stroke Care and Stroke Research in the Asia Pacific. Cerebrovasc Dis Extra 2021; 12:14-22. [PMID: 34856544 PMCID: PMC8958597 DOI: 10.1159/000521272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 11/28/2021] [Indexed: 11/25/2022] Open
Abstract
The Asia Pacific Stroke Organization is the largest international and professional stroke group in the region. It has worked consistently over the last 10 years to gain visibility and consistency across the Asia-Pacific and beyond. The 10-year journey will be reviewed in the background of many internal and external developments including changes in Asia-Pacific stroke epidemiology, stroke care systems, and stroke service developments as well as major research studies in the Asia-Pacific.
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Affiliation(s)
- Kay-Sin Tan
- Division of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- *Kay-Sin Tan,
| | - Byung-Woo Yoon
- Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Gyeonggi-do, Republic of Korea
| | - Ruey-Tay Lin
- Department of Neurology, Stroke Centre, Kaohsiung Medical University and Hospital, Kaohsiung, Taiwan
| | - Man Mohan Mehndiratta
- Department of Neurology, B.L.Kapur Hospital (Max Health Care Group), Centre for Neurosciences, New Dehli, India
| | - Nijasri C. Suwanwela
- 7th Floor, Chulalongkorn Comprehensive Stroke Center, Bhumisiri Building, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
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The Riga East University Hospital Stroke Registry-An Analysis of 4915 Consecutive Patients with Acute Stroke. ACTA ACUST UNITED AC 2021; 57:medicina57060632. [PMID: 34207100 PMCID: PMC8233796 DOI: 10.3390/medicina57060632] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/05/2021] [Accepted: 06/17/2021] [Indexed: 11/17/2022]
Abstract
Background and Objectives: A hospital-based stroke registry is a useful tool for systematic analyses of the epidemiology, clinical characteristics, and natural course of stroke. Analyses of stroke registry data can provide information that can be used by health services to improve the quality of care for patients with this disease. Materials and Methods: Data were collected from the Riga East University Hospital (REUH) Stroke Registry in order to evaluate the etiology, risk factors, clinical manifestations, treatment, functional outcomes, and other relevant data for acute stroke during the period 2016–2020. Results: During a five-year period, 4915 patients (3039 females and 1876 males) with acute stroke were registered in the REUH Stroke Registry. The causative factors of stroke were cardioembolism (45.7%), atherosclerosis (29.9%), lacunar stroke (5.3%), stroke of undetermined etiology (1.2%), and stroke of other determined causes (1.2%). The most frequent localizations of intracerebral hemorrhage were subcortical (40.0%), lobar (18.9%), and brainstem (9.3%). The most prevalent risk factors for stroke were hypertension (88.8%), congestive heart failure (71.2%), dyslipidemia (46.7%), and atrial fibrillation (44.2%). In addition, 1018 (20.7%) patients were receiving antiplatelet drugs, 574 (11.7%) were taking statins, and 382 (7.7%) were taking anticoagulants. At discharge, 35.5% of the patients were completely independent (mRS (modified Rankin Scale) score: 0–2), while 49.5% required some form of assistance (mRS score: 3–5). The intrahospital mortality rate was 13.7%, although it was higher in the hemorrhage group (30.9%). Conclusions: Our stroke registry data are comparable to those of other major registries. Analysis of stroke registry data is important for improving stroke care and obtaining additional information for stroke studies.
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Hypoperfusion Index Ratio as a Surrogate of Collateral Scoring on CT Angiogram in Large Vessel Stroke. J Clin Med 2021; 10:jcm10061296. [PMID: 33801050 PMCID: PMC8003946 DOI: 10.3390/jcm10061296] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 01/14/2023] Open
Abstract
Background: This study was to evaluate the correlation of the hypoperfusion intensity ratio (HIR) with the collateral score from multiphase computed tomography angiography (mCTA) among patients with large vessel stroke. Method: From February 2019 to May 2020, we retrospectively reviewed the patients with large vessel strokes (intracranial carotid artery or proximal middle cerebral artery occlusion). HIR was defined as a Tmax > 10 s lesion volume divided by a Tmax > 6 s lesion volume, which was calculated by automatic software (Syngo.via, Siemens). The correlation between the HIR and mCTA score was evaluated by Pearson’s correlation. The cutoff value predicting the mCTA score was evaluated by receiver operating characteristic analysis. Result: Ninety-four patients were enrolled in the final analysis. The patients with good collaterals had a smaller core volume (37.3 ± 24.7 vs. 116.5 ± 70 mL, p < 0.001) and lower HIR (0.51 ± 0.2 vs. 0.73 ± 0.13, p < 0.001) than those with poor collaterals. A higher HIR was correlated with a poorer collateral score by Pearson’s correlation. (r = −0.64, p < 0.001). The receiver operating characteristic (ROC) analysis suggested that the best HIR value for predicting a good collateral score was 0.68 (area under curve: 0.82). Conclusion: HIR is a good surrogate of collateral circulation in patients with acute large artery occlusion.
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Chou YC, Chan PC, Yang T, You SL, Bai CH, Sun CA. Apolipoprotein B Level and the Apolipoprotein B/Apolipoprotein A-I Ratio as a Harbinger of Ischemic Stroke: A Prospective Observation in Taiwan. Cerebrovasc Dis 2020; 49:487-494. [PMID: 32950994 DOI: 10.1159/000509452] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 06/16/2020] [Indexed: 11/19/2022] Open
Abstract
AIM Prospective studies indicate that apolipoprotein (apo) measurements predict coronary heart disease risk. However, few population-based follow-up studies have addressed the predictive value of apo measurements in stroke risk. The aims of the present study were to analyze the predictive ability of apo measurements in the risk of ischemic stroke. METHODS Serum apo A-I and apo B levels and calculated apo B/apo A-I ratio were measured at baseline in 2002 in a cohort of 4,204 participants who were followed for a mean of 4.61 years for a stroke event. RESULTS After adjustment for potential confounders, a significantly stepwise increase in the incidence rate of stroke across quartiles of both apo B and the apo B/apo A-I ratio was evident in both genders and across age-groups. The predictive ability of apo B to detect ischemic stroke was comparable with that of the apo B/apo A-I ratio. Furthermore, both apo B and the apo B/apo A-I ratio were better predictors of the risk of ischemic stroke than total cholesterol (TC), low-density lipoprotein cholesterol, and the TC/high-density lipoprotein cholesterol ratio. CONCLUSIONS This cohort study demonstrates that apo B and the apo B/apo A-I ratio were a significant risk predictor of stroke. Furthermore, the predictive ability of apo B and the apo B/apo A-I ratio in stroke risk was better than routine clinical lipid measurements. Thus, measurements of apolipoproteins have superior clinical utility over traditional lipid measurements in identifying subjects at risk for ischemic stroke.
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Affiliation(s)
- Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Po-Chi Chan
- Department of Neurology, Show-Chwan Memorial Hospital, Changhua County, Taiwan
| | - Tsan Yang
- Department of Health Business Administration, Meiho University, Pingtung County, Taiwan
| | - San-Lin You
- Department of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chyi-Huey Bai
- Department of Public Health, College of Public Health, Taipei Medical University, Taipei City, Taiwan
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan, .,Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan,
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Sung SF, Su CC, Hsieh CY, Cheng CL, Chen CH, Lin HJ, Chen YW, Kao Yang YH. Home-Time as a Surrogate Measure for Functional Outcome After Stroke: A Validation Study. Clin Epidemiol 2020; 12:617-624. [PMID: 32606987 PMCID: PMC7305833 DOI: 10.2147/clep.s245817] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 05/05/2020] [Indexed: 01/05/2023] Open
Abstract
Purpose Home-time has been found to correlate well with modified Rankin Scale (mRS) scores in patients with stroke. This study aimed to determine its correlations in patients with different types of stroke at various time points after stroke in a non-Western population. Methods This study used linked data from multi-center stroke registry databases and a nationwide claims database of health insurance. Functional outcomes as measured with the modified Rankin Scale were obtained from the registry databases and home-time was derived from the claims database. Spearman correlation coefficients were used to assess the correlation between home-time and mRS scores. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of home-time in predicting good functional outcome. Results This study included 7959 patients hospitalized for stroke or transient ischemic attack (TIA), for whom mRS scores were available in 6809, 6694, and 4330 patients at 90, 180, and 365 days, respectively. Home-time was highly correlated with mRS scores at the three time-points in patients with ischemic (Spearman's rho -0.69 to -0.83) or hemorrhagic (Spearman's rho -0.86 to -0.88) stroke, but the correlation was only weak to moderate in those with TIA (Spearman's rho -0.32 to -0.58). Home-time predicted good functional outcome with excellent discrimination in patients with ischemic (AUCs >0.8) or hemorrhagic (AUCs >0.9) stroke but less so in those with TIA (AUCs >0.7). Conclusion Home-time was highly correlated with mRS scores and showed excellent discrimination in predicting good functional outcome in patients with ischemic or hemorrhagic stroke. Home-time could serve as a valid surrogate measure for functional outcome after stroke.
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Affiliation(s)
- Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi, Taiwan
| | - Chien-Chou Su
- Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Health Outcome Research Center, National Cheng Kung University, Tainan, Taiwan
| | - Cheng-Yang Hsieh
- Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan
| | - Ching-Lan Cheng
- Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Health Outcome Research Center, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Hung Chen
- Department of Neurology, National Cheng Kung University Hospital and College of Medicine, Tainan, Taiwan
| | - Huey-Juan Lin
- Department of Neurology, Chi Mei Medical Center, Tainan, Taiwan
| | - Yu-Wei Chen
- Department of Neurology, Landseed International Hospital, Taoyuan, Taiwan.,Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yea-Huei Kao Yang
- Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Health Outcome Research Center, National Cheng Kung University, Tainan, Taiwan.,School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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11
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Sung SF, Hsieh CY, Hu YH. Two Decades of Research Using Taiwan's National Health Insurance Claims Data: Bibliometric and Text Mining Analysis on PubMed. J Med Internet Res 2020; 22:e18457. [PMID: 32543443 PMCID: PMC7327589 DOI: 10.2196/18457] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 04/12/2020] [Accepted: 04/16/2020] [Indexed: 12/18/2022] Open
Abstract
Background Studies using Taiwan’s National Health Insurance (NHI) claims data have expanded rapidly both in quantity and quality during the first decade following the first study published in 2000. However, some of these studies were criticized for being merely data-dredging studies rather than hypothesis-driven. In addition, the use of claims data without the explicit authorization from individual patients has incurred litigation. Objective This study aimed to investigate whether the research output during the second decade after the release of the NHI claims database continues growing, to explore how the emergence of open access mega journals (OAMJs) and lawsuit against the use of this database affect the research topics and publication volume and to discuss the underlying reasons. Methods PubMed was used to locate publications based on NHI claims data between 1996 and 2017. Concept extraction using MetaMap was employed to mine research topics from article titles. Research trends were analyzed from various aspects, including publication amount, journals, research topics and types, and cooperation between authors. Results A total of 4473 articles were identified. A rapid growth in publications was witnessed from 2000 to 2015, followed by a plateau. Diabetes, stroke, and dementia were the top 3 most popular research topics whereas statin therapy, metformin, and Chinese herbal medicine were the most investigated interventions. Approximately one-third of the articles were published in open access journals. Studies with two or more medical conditions, but without any intervention, were the most common study type. Studies of this type tended to be contributed by prolific authors and published in OAMJs. Conclusions The growth in publication volume during the second decade after the release of the NHI claims database was different from that during the first decade. OAMJs appeared to provide fertile soil for the rapid growth of research based on NHI claims data, in particular for those studies with two or medical conditions in the article title. A halt in the growth of publication volume was observed after the use of NHI claims data for research purposes had been restricted in response to legal controversy. More efforts are needed to improve the impact of knowledge gained from NHI claims data on medical decisions and policy making.
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Affiliation(s)
- Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi City, Taiwan.,Department of Information Management, Institute of Healthcare Information Management, National Chung Cheng University, Chiayi County, Taiwan
| | - Cheng-Yang Hsieh
- Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan.,School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ya-Han Hu
- Department of Information Management, National Central University, Taoyuan City, Taiwan.,Center for Innovative Research on Aging Society, National Chung Cheng University, Chiayi County, Taiwan.,MOST AI Biomedical Research Center, National Cheng Kung University, Tainan, Taiwan
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12
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Wang HK, Huang CY, Sun YT, Li JY, Chen CH, Sun Y, Liu CH, Lin CH, Chang WL, Lee JT, Sung SF, Yeh PY, Lai TC, Tsai IJ, Lin MC, Lin CL, Wen CP, Hsu CY. Smoking Paradox in Stroke Survivors?: Uncovering the Truth by Interpreting 2 Sets of Data. Stroke 2020; 51:1248-1256. [PMID: 32151234 DOI: 10.1161/strokeaha.119.027012] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Background and Purpose- The observation that smokers with stroke could have better outcome than nonsmokers led to the term "smoking paradox." The controversy of such a complex claim has not been fully settled, even though different case mix was noted. Analyses were conducted on 2 independent data sets to evaluate and determine whether such a paradox truly exists. Methods- Taiwan Stroke Registry with 88 925 stroke cases, and MJ cohort with 541 047 adults participating in a medical screening program with 1630 stroke deaths developed during 15 years of follow-up (1994-2008). Primary outcome for stroke registry was functional independence at 3 months by modified Rankin Scale score ≤2, for individuals classified by National Institutes of Health Stroke Scale score at admission. For MJ cohort, mortality risk by smoking status or by stroke history was assessed by hazard ratio. Results- A >11-year age difference in stroke incidence was found between smokers and nonsmokers, with a median age of 60.2 years for current smokers and 71.6 years for nonsmokers. For smokers, favorable outcome in mortality and in functional assessment in 3 months with modified Rankin Scale score ≤2 stratified by the National Institutes of Health Stroke Scale score was present but disappeared when age and sex were matched. Smokers without stroke history had a ≈2-fold increase in stroke deaths (2.05 for ischemic stroke and 1.53 for hemorrhagic stroke) but smokers with stroke history, 7.83-fold increase, overshadowing smoking risk. Quitting smoking at earlier age reversed or improved outcome. Conclusions- "The more you smoke, the earlier you stroke, and the longer sufferings you have to cope." Smokers had 2-fold mortality from stroke but endured stroke disability 11 years longer. Quitting early reduced or reversed the harms.
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Affiliation(s)
- Hao-Kuang Wang
- From the School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan (H.-K. W., J.-Y. L.).,Department of Neurosurgery, E-Da Hospital, Kaohsiung, Taiwan (H.-K. W.)
| | - Chih-Yuan Huang
- Neurosurgical Service, Department of Surgery, National Cheng Kung University Hospital, Tainan, Taiwan (C.-Y. H.)
| | - Yuan-Ting Sun
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Y.-T. S. C.-H. C.).,Stroke Center, National Cheng Kung University Hospital, Tainan, Taiwan (Y.-T. S. C.-H. C.)
| | - Jie-Yuan Li
- From the School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan (H.-K. W., J.-Y. L.).,Department of Neurology, E-Da Hospital/ I-Shou University, Kaohsiung, Taiwan (J.-Y. L.)
| | - Chih-Hung Chen
- Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan (Y.-T. S. C.-H. C.).,Stroke Center, National Cheng Kung University Hospital, Tainan, Taiwan (Y.-T. S. C.-H. C.)
| | - Yu Sun
- Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan (Y. S.)
| | - Chung-Hsiang Liu
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan (C.-H. L., C.Y. Hsu)
| | - Ching-Huang Lin
- Department of Neurology, Kaohsiung Veterans General Hospital, Taiwan (C.-H. L.)
| | - Wei-Lun Chang
- Department of Neurology, Show-Chwan Memorial Hospital, Changhua, Taiwan (W.-L. C.)
| | - Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan (J.-T. L.)
| | - Sheng-Feng Sung
- Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi City, Taiwan (S.-F. S.)
| | - Po-Yen Yeh
- Department of Neurology, St. Martin De Porres Hospital, Chiayi, Taiwan (P.-Y. Y.)
| | - Ta-Chang Lai
- Division of Neurology, Department of Internal Medicine, Cheng Hsin General Hospital, Taipei, Taiwan (T.-C. L.)
| | - I-Ju Tsai
- Management Office for Health Data, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan (I-J. T., M.-C. L., C.-L. L.)
| | - Mei-Chen Lin
- Management Office for Health Data, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan (I-J. T., M.-C. L., C.-L. L.)
| | - Cheng-Li Lin
- Management Office for Health Data, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan (I-J. T., M.-C. L., C.-L. L.)
| | - Chi-Pang Wen
- Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan (C.-P. W.).,Department of Medical Research, China Medical University Hospital, Taichung, Taiwan (C.-P. W.).,Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan (C.-P. W.)
| | - Chung Y Hsu
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan (C.-H. L., C.Y. Hsu)
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13
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Ung D, Kim J, Thrift AG, Cadilhac DA, Andrew NE, Sundararajan V, Kapral MK, Reeves M, Kilkenny MF. Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research. Stroke 2020; 50:1302-1309. [PMID: 31009352 DOI: 10.1161/strokeaha.118.020372] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- David Ung
- From the Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.U., J.K., A.G.T., D.A.C., N.E.A., M.F.K.)
| | - Joosup Kim
- From the Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.U., J.K., A.G.T., D.A.C., N.E.A., M.F.K.).,Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (J.K., D.A.C., M.F.K.)
| | - Amanda G Thrift
- From the Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.U., J.K., A.G.T., D.A.C., N.E.A., M.F.K.)
| | - Dominique A Cadilhac
- From the Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.U., J.K., A.G.T., D.A.C., N.E.A., M.F.K.).,Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (J.K., D.A.C., M.F.K.)
| | - Nadine E Andrew
- From the Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.U., J.K., A.G.T., D.A.C., N.E.A., M.F.K.).,Peninsula Clinical School, Central Clinical School, Monash University, Frankston, VIC, Australia (N.E.A.)
| | - Vijaya Sundararajan
- La Trobe University, Melbourne, VIC, Australia (V.S.).,Department of Public Health, School of Psychology and Public Health, College of Science Health and Engineering, La Trobe University, Bundoora, VIC, Australia (V.S.)
| | - Moira K Kapral
- Division of General Internal Medicine, Department of Medicine, University of Toronto, ON, Canada (M.K.K.)
| | - Mathew Reeves
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI (M.R.)
| | - Monique F Kilkenny
- From the Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.U., J.K., A.G.T., D.A.C., N.E.A., M.F.K.).,Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (J.K., D.A.C., M.F.K.)
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14
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THE ROLE OF THE HOSPITAL REGISTRY TO ASSESS THE QUALITY OF STROKE DIAGNOSIS. WORLD OF MEDICINE AND BIOLOGY 2020. [DOI: 10.26724/2079-8334-2020-4-74-103-106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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15
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Liebeskind DS, Derdeyn CP, Wechsler LR. STAIR X: Emerging Considerations in Developing and Evaluating New Stroke Therapies. Stroke 2019; 49:2241-2247. [PMID: 30355006 DOI: 10.1161/strokeaha.118.021424] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- David S Liebeskind
- From the Neurovascular Imaging Research Core and UCLA Stroke Center, Department of Neurology, University of California, Los Angeles (D.S.L.)
| | - Colin P Derdeyn
- Departments of Radiology and Neurology, University of Iowa Hospitals and Clinics (C.P.D.)
| | - Lawrence R Wechsler
- Department of Neurology, University of Pittsburgh Medical Center, PA (L.R.W.)
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