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Caruso P, Prandin G, Rossi L, Cegalin M, Lugnan C, Pasquin F, Sisto UG, Furlanis G, Naccarato M, Cominotto F, Manganotti P. Epidemiology and management of transient ischemic attack in Trieste district, how day hospital assessment improves outcomes: a five-year retrospective study. Neurol Sci 2024; 45:3861-3867. [PMID: 38467952 DOI: 10.1007/s10072-024-07443-6] [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: 01/19/2024] [Accepted: 03/03/2024] [Indexed: 03/13/2024]
Abstract
BACKGROUND Transient ischemic attack (TIA) is defined as a transient episode of neurologic dysfunction, without acute infarction or tissue injury lasting less than 24 h. Previous data suggest TIA precedes 15% of ischemic strokes, with a higher risk in the first week. Current practice guidelines advise evaluation through rapid neurological visit or admission to hospital. We provide data on TIA incidence in Trieste, and we compare three different types of assessment: day hospital (DH), stroke unit (SU), and emergency department/outpatients (ED). METHODS This is a 5-year retrospective study of transient cerebrovascular events admitted in the University Hospital of Trieste (230.623 inhabitants), between 2016 and 2020. We calculated TIA prevalence in Trieste district's general population. Our primary endpoint is ischemic recurrences within 90 days, and we evaluate the possible association between different types of management. RESULTS TIA incidence rate was 0.54/1000 inhabitants. In the multivariate analysis remained significantly associated with primary endpoint: ABCD2 (OR 1.625, CI 95% 1.114-2.369, p = 0.012) and DH evaluation (OR 0.260, CI 95% 0.082-0.819, p = 0.021). CONCLUSIONS Incidence of TIA in Trieste district is in line with previous data. We demonstrate the crucial role of DH evaluation over the outpatient/ED in reducing overall mortality and recurrence rate. Prompt recognition of patients at high risk for cerebrovascular events and specialist follow-up may reduce the incidence of major vascular events and death.
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Affiliation(s)
- Paola Caruso
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Gabriele Prandin
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy.
| | - Lucrezia Rossi
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Matteo Cegalin
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Carlo Lugnan
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Fulvio Pasquin
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Ugo Giulio Sisto
- Emergency Department, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Giovanni Furlanis
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Marcello Naccarato
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Franco Cominotto
- Emergency Department, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
| | - Paolo Manganotti
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Strada Di Fiume 447, 34100, Trieste, Italy
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2
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Amikam U, Badeghiesh A, Baghlaf H, Brown R, Dahan MH. Transient ischemic attack and pregnancy, delivery and neonatal outcomes-An evaluation of a population database. Int J Gynaecol Obstet 2024; 166:412-418. [PMID: 38311958 DOI: 10.1002/ijgo.15387] [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: 12/15/2023] [Revised: 01/04/2024] [Accepted: 01/09/2024] [Indexed: 02/06/2024]
Abstract
OBJECTIVE Transient ischemic attack (TIA) is rare in women of reproductive age. We aimed to compare perinatal outcomes between women who suffered from a TIA to those who did not. METHODS A retrospective population-based cohort study utilizing the Healthcare Cost and Utilization Project, Nationwide Inpatient Sample (HCUP-NIS). All women who delivered or had a maternal death in the US (2004-2014) were included in the study. Pregnancy, delivery, and neonatal outcomes were compared between women with an ICD-9 diagnosis of a TIA to those without. RESULTS Overall, 9 096 788 women met the inclusion criteria. Of these, 203 women (2.2/100000) had a TIA (either before or during pregnancy). Women with TIA, compared to those without, were more likely to be older than 35 years of age, white, in the highest income quartile, be insured by private insurance and suffer from obesity and chronic hypertension. Patients in the TIA group, compared to those without, had a higher rate of pregnancy-induced hypertension (aOR 2.5, 95% CI: 1.55-4.05, P < 0.001), pre-eclampsia (aOR 3.77, 95% CI: 2.15-6.62, P < 0.001), eclampsia (aOR 28.05, 95% CI: 6.91-113.95, P < 0.001), preterm delivery (aOR 1.78, 95% CI: 1.03-3.07, P = 0.039), and maternal complications such as deep vein thrombosis (aOR 33.3, 95% CI: 8.07-137.42, P < 0.001). Regarding neonatal outcomes, patients with a TIA, compared to those without, had a higher rate of congenital anomalies (aOR 7.04, 95% CI: 2.86-17.32, P < 0.001). CONCLUSION Women with a TIA diagnosis before or during pregnancy had a higher rate of maternal complications, including hypertensive disorders of pregnancy and venous thromboembolism, as well as an increased risk of congenital anomalies.
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Affiliation(s)
- Uri Amikam
- Department of Obstetrics and Gynecology, McGill University, Montréal, Quebec, Canada
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ahmad Badeghiesh
- Department of Obstetrics and Gynecology, King Abdulaziz University, Rabigh Branch, Rabigh, Saudi Arabia
| | - Haitham Baghlaf
- Department of Obstetrics and Gynecology, University of Tabuk, Tabuk, Saudi Arabia
| | - Richard Brown
- Department of Obstetrics and Gynecology, McGill University, Montréal, Quebec, Canada
| | - Michael H Dahan
- Department of Obstetrics and Gynecology, McGill University, Montréal, Quebec, Canada
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3
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Leach D, Kolokotroni Z, Wilson AD. Reduced learning rates but successful learning of a coordinated rhythmic movement by older adults. Q J Exp Psychol (Hove) 2024:17470218241240983. [PMID: 38459632 DOI: 10.1177/17470218241240983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Abstract
Previous work has investigated the information-based mechanism for learning and transfer of learning in coordinated rhythmic movements. In those papers, we trained young adults to produce either 90° or 60° and showed in both cases that learning entailed learning to use relative position as information for the relative phase. This variable then supported transfer of learning to untrained coordinations +/30° on either side. In this article, we replicate the 90° study with younger adults and extend it by training older adults (aged between 55 and 65 years). Other work has revealed a steep decline in learning rate around this age, and no follow-up study has been able to successfully train older adults to perform a novel coordination. We used a more intensive training paradigm and showed that while older adult learning rates remain about half that of younger adults, given time they are able to acquire the new coordination. They also learn to use relative position, and consequently show the same pattern of transfer. We discuss implications for attempts to model the process of learning in this task.
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Affiliation(s)
- Daniel Leach
- Psychology, School of Humanities and Social Sciences, Leeds Beckett University, Leeds, UK
| | - Zoe Kolokotroni
- Psychology, School of Humanities and Social Sciences, Leeds Beckett University, Leeds, UK
| | - Andrew D Wilson
- Psychology, School of Humanities and Social Sciences, Leeds Beckett University, Leeds, UK
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Nizar D, Amine MSM, Aissi M, Machraoui R, Adel S, Khaoula BHA, Blel S, Younes S, Boukef R, Henteti F, Nouira S, Hamdi B, Frih M. External validations of the ABCD2 score in prediction of stroke risk after transient ischemic attack. A Tunisian hospital-based cohort study. Int J Neurosci 2023; 133:1218-1223. [PMID: 33059508 DOI: 10.1080/00207454.2020.1835897] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 09/18/2020] [Accepted: 09/24/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND AND PURPOSE Identification of patients with high risk of stroke after transient ischemic attack (TIA) could be helpful to optimize stroke prevention. We aimed to externally validate the ABCD2 score for the prediction of stroke after TIA in a Tunisian population. METHODS We conducted a retrospective observational study of consecutive patients admitted for TIA in four university hospitals in Tunisia. Patients were screened for onset of stroke. Sensitivity, specificity, positive and negative predictive values with areas under the receiver operating characteristic (ROC) curves were calculated for risk of stroke at 2, 7, 30 and 90 days after the index event. RESULTS Of 415 patients screened in this study, the total cumulative subsequent stroke rates after TIA at 2, 7, 30 and 90 days were respectively, 4.8%, 10.6%, 13.5% and 20.2%. Using a cut-off value of 4, the ABCD2 showed an overall good sensitivity (95%, 97.7%, 96.4% and 97.6% respectively at 2, 7, 30 and 90 days). Areas under ROC cure of the ABCD2 score in patients with TIA for stroke onset at 2, 7, 30 and 90 days were respectively 0.67 (95% CI, 0.55-0.79), 0.79 (95% CI, 0.71-0.85), 0.79 (95% CI, 0.72-0.85), and 0.76 (95% CI, 0.70-0.81). CONCLUSION Our findings suggest that the ABCD2 score could be used in our population to discriminate patient with TIA at low and high risk of developing recurrent stroke.
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Affiliation(s)
- Daoussi Nizar
- Department of Neurology, University Hospital of Monastir, Monastir, Tunisia
| | - MSolli M Amine
- Research Laboratory LR12SP18, University of Monastir, Monastir, Tunisia
- Emergency Department, University Hospital of Monastir, Monastir, Tunisia
| | - Mouna Aissi
- Department of Neurology, University Hospital of Monastir, Monastir, Tunisia
| | - Rafik Machraoui
- Department of Endocrinology and Internal Medicine, Tahar Sfar Hospital of Mahdia, Mahdia, Tunisia
| | - Sekma Adel
- Research Laboratory LR12SP18, University of Monastir, Monastir, Tunisia
- Emergency Department, University Hospital of Monastir, Monastir, Tunisia
| | - Bel Haj Ali Khaoula
- Research Laboratory LR12SP18, University of Monastir, Monastir, Tunisia
- Emergency Department, University Hospital of Monastir, Monastir, Tunisia
| | - Semir Blel
- Neurology Department, Mongi Ben Hmida National Institute of Neurology, Tunis, Tunisia
| | - Samia Younes
- Department of Endocrinology and Internal Medicine, Tahar Sfar Hospital of Mahdia, Mahdia, Tunisia
| | - Riadh Boukef
- Emergency Department, Sahloul University Hospital, Sousse, Tunisia
| | - Fayçal Henteti
- Neurology Department, Mongi Ben Hmida National Institute of Neurology, Tunis, Tunisia
| | - Semir Nouira
- Research Laboratory LR12SP18, University of Monastir, Monastir, Tunisia
- Emergency Department, University Hospital of Monastir, Monastir, Tunisia
| | - Boubaker Hamdi
- Research Laboratory LR12SP18, University of Monastir, Monastir, Tunisia
- Emergency Department, University Hospital of Monastir, Monastir, Tunisia
| | - Mahbouba Frih
- Department of Neurology, University Hospital of Monastir, Monastir, Tunisia
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Komulainen T, Koivisto A, Jäkälä P. Incidence of first-ever transient ischemic attack in Eastern Finland. Acta Neurol Scand 2022; 146:615-622. [PMID: 36029100 PMCID: PMC9805147 DOI: 10.1111/ane.13689] [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: 04/15/2022] [Revised: 08/05/2022] [Accepted: 08/10/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVES The incidence of stroke has been declining in Finland, as well as in Europe. However, it is unclear whether the incidence of transient ischemic attack (TIA) is also decreasing. In fact, the TIA incidence in the Finnish population has never been reported. Therefore, here we investigated the incidence of TIA in the Eastern Finnish population in 2017. MATERIALS AND METHODS All patients with suspected TIA, from a defined catchment area, were referred to a neurological emergency unit at Kuopio University Hospital (KUH) in the Northern Savonia region of Eastern Finland, which had a population of 246,653 in 2017. The original study population comprised TIA patients diagnosed based on the WHO TIA criteria in 2017. Incidence rates were calculated by dividing the number of TIA cases by the number of people in different age groups. RESULTS Among 432 patients with a suspected TIA referred to the neurological emergency unit at Kuopio University Hospital in 2017, 293 were living in Northern Savonia and were ultimately diagnosed with TIA after neurological examinations. The number of first-ever TIAs was 211. The crude incidence of all TIA was 122/100,000 inhabitants, and of first-ever TIA was 86/100,000. The age-standardized incidence (European population 2010) of the first-ever TIA was calculated to be 64/100,000. The mean age of first-ever TIA patients was 70 years: 72 years for women versus 68 years for men. CONCLUSIONS We found a high incidence of TIA in Eastern Finland.
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Affiliation(s)
- Tiina Komulainen
- Department of NeurologyKuopio University Hospital NeurocenterKuopioFinland,Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
| | - Anne Koivisto
- Department of NeurologyKuopio University Hospital NeurocenterKuopioFinland,Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland,Geriatrics, Internal Medicine and RehabilitationHelsinki University HospitalHelsinkiFinland,Department of NeurosciencesUniversity of HelsinkiHelsinkiFinland
| | - Pekka Jäkälä
- Department of NeurologyKuopio University Hospital NeurocenterKuopioFinland,Department of Neurology, Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
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ÖZKAN S, İLGEN USLU F, YOLDAŞ TK. Ischemic Stroke Severity, Stroke Types and Early Mortality in Patients with End-stage Renal Disease. BEZMIALEM SCIENCE 2022. [DOI: 10.14235/bas.galenos.2021.3931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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7
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D'Anna L, Sikdar O, Lim S, Kalladka D, Banerjee S. Atrial fibrillation detection using a automated electrocardiographic monitoring in a transient ischaemic attack service. BMJ Open Qual 2022; 11:bmjoq-2021-001433. [PMID: 35110330 PMCID: PMC8811557 DOI: 10.1136/bmjoq-2021-001433] [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: 02/22/2021] [Accepted: 12/20/2021] [Indexed: 11/06/2022] Open
Abstract
Background The vast majority of the transient ischaemic attacks (TIA) services in UK reported significant delays in the initiation of the routine cardiac monitoring that may result in a significant number of missed atrial fibrillation (AF) paroxysms and increased long-term risk of recurrent stroke. Automated continuous ECG monitoring (ACEM) system has shown promising results in terms of AF detection but it is unclear if ACEM improves AF detection in a rapid outpatient TIA service. Objectives We assessed ACEM in patients with TIA with the aim to significantly reduce the delay to initiate the cardiac monitoring and to enhance the yield of AF detection in these patients. We also aimed to determine the impact of a more rapid initiation of ACEM on the 6-month risk of recurrent stroke/TIA. Methods This is an observational, prospective before (phase 1: 1 July to 31 December 2018) versus after (phase 2: 1 January to 30 June 2019) study of the effect of ACEM, compared with routine initiation of 24h-Holter ECG, in patients with TIA assessed in our service. Results The phase 1 (n=136) and phase 2 (n=105) cohorts did not differ with regards to age, risk factors, duration of cardiac monitoring. The rate of newly detected AF was significantly higher in phase 2 compared with phase 1 (9.52% vs 2.21%, p<0.001). The 6-month risk of recurrent stroke/TIA was significantly lower in phase 2 compared with phase 1 (7.4% vs 1%, p=0.018). Conclusions Early initiation of ACEM improves AF detection after TIA in a rapid TIA service and is associated with a reduced risk of recurrent TIA/stroke.
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Affiliation(s)
- Lucio D'Anna
- Department of Brain Sciences, Imperial College London, London, UK .,Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, UK
| | - Oishi Sikdar
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, UK
| | - Suyin Lim
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, UK
| | - Dheeraj Kalladka
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, UK
| | - Soma Banerjee
- Department of Brain Sciences, Imperial College London, London, UK.,Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, UK
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Shahjouei S, Li J, Koza E, Abedi V, Sadr AV, Chen Q, Mowla A, Griffin P, Ranta A, Zand R. Risk of Subsequent Stroke Among Patients Receiving Outpatient vs Inpatient Care for Transient Ischemic Attack: A Systematic Review and Meta-analysis. JAMA Netw Open 2022; 5:e2136644. [PMID: 34985520 PMCID: PMC8733831 DOI: 10.1001/jamanetworkopen.2021.36644] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
IMPORTANCE Transient ischemic attack (TIA) often indicates a high risk of subsequent cerebral ischemic events. Timely preventive measures improve the outcome. OBJECTIVE To estimate and compare the risk of subsequent ischemic stroke among patients with TIA or minor ischemic stroke (mIS) by care setting. DATA SOURCES MEDLINE, Web of Science, Scopus, Embase, International Clinical Trials Registry Platform, ClinicalTrials.gov, Trip Medical Database, CINAHL, and all Evidence-Based Medicine review series were searched from the inception of each database until October 1, 2020. STUDY SELECTION Studies evaluating the occurrence of ischemic stroke after TIA or mIS were included. Cohorts without data on evaluation time for reporting subsequent stroke, with retrospective diagnosis of the index event after stroke occurrence, and with a report of outcomes that were not limited to patients with TIA or mIS were excluded. Two authors independently screened the titles and abstracts and provided the list of candidate studies for full-text review; discrepancies and disagreements in all steps of the review were addressed by input from a third reviewer. DATA EXTRACTION AND SYNTHESIS The study was prepared and reported following the Preferred Reporting Items for Systematic Reviews and Meta-analyses, Meta-analysis of Observational Studies in Epidemiology, Methodological Expectations of Cochrane Intervention Reviews, and Enhancing the Quality and Transparency of Health Research guidelines. The Risk of Bias in Nonrandomized Studies-of Exposures (ROBINS-E) tool was used for critical appraisal of cohorts, and funnel plots, Begg-Mazumdar rank correlation, Kendall τ2, and the Egger bias test were used for evaluating the publication bias. All meta-analyses were conducted under random-effects models. MAIN OUTCOMES AND MEASURES Risk of subsequent ischemic stroke among patients with TIA or mIS who received care at rapid-access TIA or neurology clinics, inpatient units, emergency departments (EDs), and unspecified or multiple settings within 4 evaluation intervals (ie, 2, 7, 30, and 90 days). RESULTS The analysis included 226 683 patients from 71 articles recruited between 1981 and 2018; 5636 patients received care at TIA clinics (mean [SD] age, 65.7 [3.9] years; 2291 of 4513 [50.8%] men), 130 139 as inpatients (mean [SD] age, 78.3 [4.0] years; 49 458 of 128 745 [38.4%] men), 3605 at EDs (mean [SD] age, 68.9 [3.9] years; 1596 of 3046 [52.4%] men), and 87 303 patients received care in an unspecified setting (mean [SD] age, 70.8 [3.8] years, 43 495 of 87 303 [49.8%] men). Among the patients who were treated at a TIA clinic, the risk of subsequent stroke following a TIA or mIS was 0.3% (95% CI, 0.0%-1.2%) within 2 days, 1.0% (95% CI, 0.3%-2.0%) within 7 days, 1.3% (95% CI, 0.4%-2.6%) within 30 days, and 2.1% (95% CI, 1.4%-2.8%) within 90 days. Among the patients who were treated as inpatients, the risk of subsequent stroke was to 0.5% (95% CI, 0.1%-1.1%) within 2 days, 1.2% (95% CI, 0.4%-2.2%) within 7 days, 1.6% (95% CI, 0.6%-3.1%) within 30 days, and 2.8% (95% CI, 2.1%-3.5%) within 90 days. The risk of stroke among patients treated at TIA clinics was not significantly different from those hospitalized. Compared with the inpatient cohort, TIA clinic patients were younger and had had lower ABCD2 (age, blood pressure, clinical features, duration of TIA, diabetes) scores (inpatients with ABCD2 score >3, 1101 of 1806 [61.0%]; TIA clinic patients with ABCD2 score >3, 1933 of 3703 [52.2%]). CONCLUSIONS AND RELEVANCE In this systematic review and meta-analysis, the risk of subsequent stroke among patients who were evaluated in a TIA clinic was not higher than those hospitalized. Patients who received treatment in EDs without further follow-up had a higher risk of subsequent stroke. These findings suggest that TIA clinics can be an effective component of the TIA care component pathway.
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Affiliation(s)
- Shima Shahjouei
- Neurology Department, Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania
| | - Jiang Li
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, Pennsylvania
| | - Eric Koza
- Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, Pennsylvania
- Biocomplexity Institute, Virginia Tech, Blacksburg, Virginia
| | - Alireza Vafaei Sadr
- Department de Physique Theorique and Center for Astroparticle Physics, University Geneva, Geneva, Switzerland
| | - Qiushi Chen
- Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park
| | - Ashkan Mowla
- Division of Stroke and Endovascular Neurosurgery, Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles
| | - Paul Griffin
- Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park
| | - Annemarei Ranta
- Department of Neurology, Wellington Hospital, Wellington, New Zealand
- Department of Medicine, University of Otago, Wellington, New Zealand
| | - Ramin Zand
- Neurology Department, Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania
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Mkoma GF, Johnsen SP, Iversen HK, Andersen G, Norredam M. Incidence of stroke, transient ischaemic attack and determinants of poststroke mortality among immigrants in Denmark, 2004‒2018: a population-based cohort study. BMJ Open 2021; 11:e049347. [PMID: 34675015 PMCID: PMC8532551 DOI: 10.1136/bmjopen-2021-049347] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE Using recent registry data, we aimed to quantify the incidence of stroke and transient ischaemic attack (TIA) and to examine factors influencing the risk of poststroke mortality among immigrants compared with Danish-born individuals. DESIGN Population-based cohort study between 2004 and 2018. We estimated age-standardised incidence rate ratios (IRR) of stroke, stroke types and TIA for each ethnic group using Danish-born individuals as the reference by direct method of standardisation. We calculated the risk of poststroke mortality using Cox proportional hazard regression. SETTING The study was conducted using Danish nationwide registers. PARTICIPANTS All cases of first-ever stroke and TIA by country of origin (n=132 936) were included. RESULTS Overall, Western immigrants (IRR=2.25; 95% CI 2.20 to 2.31) and non-Western immigrants (IRR=1.37; 95% CI 1.30 to 1.44) had a higher risk of stroke than Danish-born individuals. The risk of TIA was higher in Western immigrants (IRR=2.08; 95% CI 1.93 to 2.23) followed by non-Western immigrants (IRR=1.45; 95% CI 1.27 to 1.63) than in Danish-born individuals. All-cause 1-year mortality hazard was higher but not significantly different in non-Western men (adjusted HR=1.38; 95% CI 0.92 to 2.08) compared with Danish-born men and additional adjustment for comorbidities reduced the HR to 0.85 (0.51 to 1.40) among ischaemic stroke cases. Among intracerebral haemorrhage cases, the adjusted mortality hazard was decreased in Western men (from HR of 1.76; 95% CI 1.09 to 2.85 to HR of 1.30; 95% CI 0.80 to 2.11) compared with Danish-born men after adjustment for stroke severity. Immigrants with ≤15 years of residence had a lower poststroke mortality hazard than Danish-born individuals after additional adjustment for sociodemographic factors (HR=0.36; 95% CI 0.14 to 0.91). CONCLUSIONS The age-standardised risk of stroke and TIA was significantly higher among the majority of immigrants than Danish-born individuals. Interventions that reduce the burden of comorbidities, improve acute stroke care and target sociodemographic factors may address the higher risk of poststroke mortality among immigrants.
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Affiliation(s)
- George Frederick Mkoma
- Danish Research Centre for Migration, Ethnicity and Health, Department of Public Health, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Søren Paaske Johnsen
- Danish Centre for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Helle Klingenberg Iversen
- Stroke Centre Rigshospitalet, Department of Neurology, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Grethe Andersen
- Danish Stroke Centre, Department of Neurology, Aarhus University Hospital, Aarhus University, Aarhus, Denmark
| | - Marie Norredam
- Danish Research Centre for Migration, Ethnicity and Health, Department of Public Health, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
- Department of Infectious Diseases, Hvidovre Hospital, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
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Shahjouei S, Sadighi A, Chaudhary D, Li J, Abedi V, Holland N, Phipps M, Zand R. A 5-Decade Analysis of Incidence Trends of Ischemic Stroke After Transient Ischemic Attack: A Systematic Review and Meta-analysis. JAMA Neurol 2021; 78:77-87. [PMID: 33044505 DOI: 10.1001/jamaneurol.2020.3627] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Importance Management of transient ischemic attack (TIA) has gained significant attention during the past 25 years after several landmark studies indicated the high incidence of a subsequent stroke. Objective To calculate the pooled event rate of subsequent ischemic stroke within 2, 7, 30, and 90 days of a TIA and compare this incidence among the population with TIA recruited before 1999 (group A), from 1999 to 2007 (group B), and after 2007 (group C). Data Sources All published studies of TIA outcomes were obtained by searching PubMed from 1996, to the last update on January 31, 2020, irrespective of the study design, document type, or language. Study Selection Of 11 516 identified citations, 175 articles were relevant to this review. Both the classic time-based definition of TIA and the new tissue-based definition were accepted. Studies with a combined record of patients with TIA and ischemic stroke, without clinical evaluation for the index TIA, with diagnosis of index TIA event after ischemic stroke occurrence, with low suspicion for TIA, or duplicate reports of the same database were excluded. Data Extraction and Synthesis The study was conducted and reported according to the PRISMA, MOOSE, and EQUATOR guidelines. Critical appraisal and methodological quality assessment used the Quality in Prognosis Studies tool. Publication bias was visualized by funnel plots and measured by the Begg-Mazumdar rank correlation Kendall τ2 statistic and Egger bias test. Data were pooled using double arcsine transformations, DerSimonian-Laird estimator, and random-effects models. Main Outcomes and Measures The proportion of the early ischemic stroke after TIA within 4 evaluation intervals (2, 7, 30, and 90 days) was considered as effect size. Results Systematic review yielded 68 unique studies with 223 866 unique patients from 1971 to 2019. The meta-analysis included 206 455 patients (58% women) during a span of 4 decades. The overall subsequent ischemic stroke incidence rates were estimated as 2.4% (95% CI, 1.8%-3.2%) within 2 days, 3.8% (95% CI, 2.5%-5.4%) within 7 days, 4.1% (95% CI, 2.4%-6.3%) within 30 days, and 4.7% (95% CI, 3.3%-6.4%) within 90 days. There was a recurrence risk of 3.4% among group A in comparison with 2.1% in group B or 2.1% in group C within 2 days; 5.5% in group A vs 2.9% in group B or 3.2% in group C within 7 days; 6.3% in group A vs 2.9% in group B or 3.4% in group C within 30 days, and 7.4% in group A vs 3.9% in group B or 3.9% in group C within 90 days. Conclusions and Relevance These findings suggest that TIA continues to be associated with a high risk of early stroke; however, the rate of post-TIA stroke might have decreased slightly during the past 2 decades.
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Affiliation(s)
- Shima Shahjouei
- Department of Neurology, Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania
| | - Alireza Sadighi
- Department of Neurology, Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania
| | - Durgesh Chaudhary
- Department of Neurology, Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania
| | - Jiang Li
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, Pennsylvania
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, Pennsylvania.,Biocomplexity Institute, Virginia Tech, Blacksburg, Virginia
| | - Neil Holland
- Department of Neurology, Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania
| | - Michael Phipps
- Department of Neurology, University of Maryland, Baltimore
| | - Ramin Zand
- Department of Neurology, Geisinger Neuroscience Institute, Geisinger Health System, Danville, Pennsylvania
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11
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D'Anna L, Sheikh A, Bathula R, Elmamoun S, Oppong A, Singh R, Redwood R, Janssen J, Banerjee S, Vasileiadis E. Decreasing referrals to transient ischaemic attack clinics during the COVID-19 outbreak: results from a multicentre cross-sectional survey. BMJ Open 2020; 10:e041514. [PMID: 33099501 PMCID: PMC7590351 DOI: 10.1136/bmjopen-2020-041514] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE The COVID-19 pandemic is having major implications for stroke care with a documented significant fall in hospital acute stroke admissions. We investigated whether COVID-19 has resulted in a decreased number of referrals to the transient ischaemic attack (TIA) clinics across the North West London region. SETTING AND DESIGN All the TIA clinical leads of the North West London region received an invitation by email to participate in an online survey in May 2020. The survey questionnaire aimed to assess the number of patients with suspected TIA consecutively referred to each of the TIA clinics of the North West London region between 1 March and 30 April 2020, the COVID-19 period, and between 1 March and 30 April 2019. RESULTS We had a response rate of 100%. During the COVID-19 period, the TIA clinics of the North West London region received 440 referrals compared with 616 referrals received between 1 March and 30 April 2019 with a fall in the number of the referrals by 28.6%. In April 2020 compared with April 2019, the number of the referrals declined by 40.1%. CONCLUSIONS This multicentre analysis documented a significant reduction in the number of patients referred with suspected TIA to the specialised rapid access outpatient clinics in the North West London region during the COVID-19 pandemic. Future studies are needed to confirm our findings and to better characterise the incidence of cerebrovascular disease during the COVID-19 pandemic.
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Affiliation(s)
- Lucio D'Anna
- Division of Brain Sciences, Imperial College London, London, UK
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, United Kingdom
| | - Ambreen Sheikh
- Stroke Department, West Middlesex University Hospital, Isleworth, UK
| | - Raj Bathula
- Stroke Department, Northwick Park Hospital, Harrow, UK
| | - Salwa Elmamoun
- Stroke Department, Chelsea and Westminster Healthcare NHS Trust, London, UK
| | - Adelaide Oppong
- Stroke Department, Chelsea and Westminster Healthcare NHS Trust, London, UK
| | - Ravneeta Singh
- Stroke Department, Chelsea and Westminster Healthcare NHS Trust, London, UK
| | - Rebecca Redwood
- Stroke Department, Chelsea and Westminster Healthcare NHS Trust, London, UK
| | - John Janssen
- Stroke Department, Chelsea and Westminster Healthcare NHS Trust, London, UK
| | - Soma Banerjee
- Division of Brain Sciences, Imperial College London, London, UK
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London NHS Healthcare Trust, London, United Kingdom
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12
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Foschi M, Pavolucci L, Rondelli F, Spinardi L, Favaretto E, Filippini M, Degli Esposti D, Strocchi E, Faggioli G, Cortelli P, Guarino M. Prospective observational cohort study of early recurrent TIA: Features, frequency, and outcome. Neurology 2020; 95:e1733-e1744. [PMID: 32727840 DOI: 10.1212/wnl.0000000000010317] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 04/06/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES To evaluate the frequency, clinical and etiologic features, and short- and long-term outcomes of early recurrent TIA. METHODS This prospective observational cohort study enrolled all consecutive patients with TIA referred to our emergency department and diagnosed by a vascular neurologist. Expedited assessment and best secondary prevention were performed within 24 hours. Primary endpoints were stroke and a composite outcome including stroke, acute coronary syndrome, and vascular death at 3, 12, and, for a subset of patients, 60 months; secondary outcomes were TIA relapse, cerebral hemorrhage, new-onset atrial fibrillation, and death resulting from other causes. Concordance between index TIA and subsequent stroke etiologies was also evaluated. RESULTS A total of 1,035 patients (822 with a single TIA, 213 with recurrent TIA = 21%) were enrolled from August 2010 to December 2017. Capsular warning syndrome and large artery atherosclerosis showed the strongest relationship with early recurrent TIA. The risk of stroke was significantly higher in the early recurrent TIA subgroup at each follow-up, and most stroke episodes occurred within 48 hours of index TIA. TIAs with lesion, dysarthria, and leukoaraiosis were the 3- and 12-month independent predictors of stroke incidence after early recurrent TIA subgroup. Index TIA and subsequent stroke etiologies showed substantial concordance. An ABCD3 score >6 predicted a higher risk of stroke recurrence over the entire follow-up. CONCLUSIONS Our study evaluated long-term outcome after early recurrent TIA. Our observations support the importance of promptly detecting and treating patients with early recurrent TIAs to reduce the high early and long-term risk of poor clinical outcomes.
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Affiliation(s)
- Matteo Foschi
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Lucia Pavolucci
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Francesca Rondelli
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Luca Spinardi
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Elisabetta Favaretto
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Massimo Filippini
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Daniela Degli Esposti
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Enrico Strocchi
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Gianluca Faggioli
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Pietro Cortelli
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy
| | - Maria Guarino
- From the Neurology Unit (M.F., L.P., F.R., M.G.), Neuroradiology Unit (L.S.), Angiology and Blood Coagulation Unit (E.F., M.F.), Internal Medicine Unit (D.D.E., E.S.), and Vascular Surgery Unit (G.F.), S. Orsola-Malpighi University Hospital; and IRCCS Istituto delle Scienze Neurologiche di Bologna (F.R., P.C., M.G.), Italy.
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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: 4976] [Impact Index Per Article: 1244.0] [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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Seizures Do Not Affect Disability and Mortality Outcomes of Stroke: A Population-Based Study. J Clin Med 2019; 8:jcm8112006. [PMID: 31744217 PMCID: PMC6912525 DOI: 10.3390/jcm8112006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 11/11/2019] [Accepted: 11/14/2019] [Indexed: 12/13/2022] Open
Abstract
Although seizures are frequently seen after cerebrovascular accidents, their effects on long-term outcome in stroke patients are still unknown. Therefore, the aim of this study was to investigate the relationship between post-stroke seizures and the risk of long-term disability and mortality in stroke patients. This study is part of a larger population-based study. All patients were prospectively followed up by a face-to-face interview or a structured telephone interview. We enrolled 635 patients with first-ever stroke and without a history of seizures. Prevalence of ischemic stroke (IS) was 85.2%, while the remaining 14.8% of patients were affected by intracerebral hemorrhage (ICH). During the study period, 51 subjects (8%) developed post-stroke seizures. Patients with post-stroke seizures were younger, had a higher prevalence of ICH, had a more severe stroke at admission, were more likely to have an IS involving the total anterior circulation, and were more likely to have a lobar ICH than patients without seizures. Moreover, subjects with seizures had more frequently hemorrhagic transformation after IS and cortical strokes. At 24 months, the risk of disability in patients with seizures was almost twice than in those without seizures. However, the negative effect of seizures disappeared in multivariate analysis. Kaplan-Meier survival curves at 12 years were not significantly different between patients with and without post-stroke seizures. Using the Cox multivariate analysis, age, NIHSS at admission, and pre-stroke mRS were independently associated with all-cause long-term mortality. In our sample, seizures did not impair long-term outcome in patients affected by cerebrovascular accidents. The not significant, slight difference in favor of a better survival for patients with seizures may be attributed to the slight age difference between the two groups.
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15
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Chaudhary D, Abedi V, Li J, Schirmer CM, Griessenauer CJ, Zand R. Clinical Risk Score for Predicting Recurrence Following a Cerebral Ischemic Event. Front Neurol 2019; 10:1106. [PMID: 31781015 PMCID: PMC6861423 DOI: 10.3389/fneur.2019.01106] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 10/02/2019] [Indexed: 12/30/2022] Open
Abstract
Introduction: Recurrent stroke has a higher rate of death and disability. A number of risk scores have been developed to predict short-term and long-term risk of stroke following an initial episode of stroke or transient ischemic attack (TIA) with limited clinical utilities. In this paper, we review different risk score models and discuss their validity and clinical utilities. Methods: The PubMed bibliographic database was searched for original research articles on the various risk scores for risk of stroke following an initial episode of stroke or TIA. The validation of the models was evaluated by examining the internal and external validation process as well as statistical methodology, the study power, as well as the accuracy and metrics such as sensitivity and specificity. Results: Different risk score models have been derived from different study populations. Validation studies for these risk scores have produced conflicting results. Currently, ABCD2 score with diffusion weighted imaging (DWI) and Recurrence Risk Estimator at 90 days (RRE-90) are the two acceptable models for short-term risk prediction whereas Essen Stroke Risk Score (ESRS) and Stroke Prognosis Instrument-II (SPI-II) can be useful for prediction of long-term risk. Conclusion: The clinical risk scores that currently exist for predicting short-term and long-term risk of recurrent cerebral ischemia are limited in their performance and clinical utilities. There is a need for a better predictive tool which can overcome the limitations of current predictive models. Application of machine learning methods in combination with electronic health records may provide platform for development of new-generation predictive tools.
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Affiliation(s)
- Durgesh Chaudhary
- Neuroscience Institute, Geisinger Health System, Danville, PA, United States
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, PA, United States.,Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States
| | - Jiang Li
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, PA, United States
| | - Clemens M Schirmer
- Neuroscience Institute, Geisinger Health System, Danville, PA, United States.,Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Christoph J Griessenauer
- Neuroscience Institute, Geisinger Health System, Danville, PA, United States.,Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria
| | - Ramin Zand
- Neuroscience Institute, Geisinger Health System, Danville, PA, United States
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16
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Yu F, Liu X, Yang Q, Fu Y, Fan D. In-hospital recurrence in a Chinese large cohort with acute ischemic stroke. Sci Rep 2019; 9:14945. [PMID: 31628361 PMCID: PMC6802201 DOI: 10.1038/s41598-019-51277-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 09/24/2019] [Indexed: 12/24/2022] Open
Abstract
Acute ischemic stroke (AIS) has a high risk of recurrence, particularly in the early stage. The purpose of this study was to assess the frequency and risk factors of in-hospital recurrence in patients with AIS in China. A retrospective analysis was performed of all of the patients with new-onset AIS who were hospitalized in the past three years. Recurrence was defined as a new stroke event, with an interval between the primary and recurrent events greater than 24 hours; other potential causes of neurological deterioration were excluded. The risk factors for recurrence were analyzed using univariate and logistic regression analyses. A total of 1,021 patients were included in this study with a median length of stay of 14 days (interquartile range,11-18). In-hospital recurrence occurred in 58 cases (5.68%), primarily during the first five days of hospitalization. In-hospital recurrence significantly prolonged the hospital stay (P < 0.001), and the in-hospital mortality was also significantly increased (P = 0.006). The independent risk factors for in-hospital recurrence included large artery atherosclerosis, urinary or respiratory infection and abnormal blood glucose, whereas recurrence was less likely to occur in the patients with aphasia. Our study showed that the patients with AIS had a high rate of in-hospital recurrence, and the recurrence mainly occurred in the first five days of the hospital stay. In-hospital recurrence resulted in a prolonged hospital stay and a higher in-hospital mortality rate.
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Affiliation(s)
- Fan Yu
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Department of Neurology, Yulin No.2 Hospital, Yulin, Shaanxi Province, China
| | - Xiaolu Liu
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Qiong Yang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Yu Fu
- Department of Neurology, Peking University Third Hospital, Beijing, China.
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China.
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China.
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17
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Feigin V, Norrving B, Sudlow CLM, Sacco RL. Updated Criteria for Population-Based Stroke and Transient Ischemic Attack Incidence Studies for the 21st Century. Stroke 2019; 49:2248-2255. [PMID: 30355005 DOI: 10.1161/strokeaha.118.022161] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Valery Feigin
- From the National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, New Zealand (V.F.)
| | - Bo Norrving
- Department of Clinical Sciences, Department of Neurology, Skane University Hospital, Lund University, Sweden (B.N.)
| | - Cathie L M Sudlow
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, UK Biobank, United Kingdom (C.L.M.S.)
| | - Ralph L Sacco
- Department of Neurology, McKnight Brain Institute, Clinical & Translational Science Institute, Miller School of Medicine, University of Miami, FL (R.L.S.)
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18
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Janes F, Cifù A, Pessa ME, Domenis R, Gigli GL, Sanvilli N, Nilo A, Garbo R, Curcio F, Giacomello R, Fabris M, Valente M. ADMA as a possible marker of endothelial damage. A study in young asymptomatic patients with cerebral small vessel disease. Sci Rep 2019; 9:14207. [PMID: 31578412 PMCID: PMC6775279 DOI: 10.1038/s41598-019-50778-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 09/04/2019] [Indexed: 01/10/2023] Open
Abstract
Sporadic small vessel disease (SVD) has high prevalence in aging population and stroke patients, but also in younger asymptomatic subjects. In this last group it can represents a prelude to stroke and cognitive impairment. Still nowadays, its pathogenesis is unclear. 35 consecutive patients with SVD at brain MRI and 35 age- and sex-matched controls, between January 2016 and February 2018, underwent an extended screening for thrombophilia, autoimmunity and evaluated levels of blood markers of inflammation and endothelial activation. Asymmetric DiMethyl Arginine (ADMA) levels proved higher in patients (70.44 ± 36.25 ng/ml vs. 46.58 ± 30.67 ng/ml; p = 0.004), also after controlling for confounding factors. ADMA levels showed positive correlation with Fazekas score (r = 0.304; p = 0.01). ROC curve analysis showed a moderate accuracy in discriminating patients and controls (AUC = 0.70; CI 0.57–0.82; p = 0.004): a cut-off of 46 ng/ml is associated with 80% sensitivity, but limited (54%) specificity. Higher ADMA levels characterize selected subjects with sporadic SVD, asymptomatic for vascular diseases and without latent inflammatory conditions or coagulopathy. This reinforces the hypothesis of the key role of endothelial dysfunction in SVD. Further studies should explore the cause-effect relationship between ADMA pathway and SVD.
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Affiliation(s)
- Francesco Janes
- Department of Neuroscience, S. Maria della Misericordia University Hospital, Udine, Italy.
| | - Adriana Cifù
- Department of Laboratory Medicine, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Maria Elena Pessa
- Department of Neuroscience, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Rossana Domenis
- Department of Laboratory Medicine, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Gian Luigi Gigli
- Department of Neuroscience, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Nova Sanvilli
- Department of Medical Area (DAME), University of Udine, Udine, Italy
| | - Annacarmen Nilo
- Department of Neuroscience, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Riccardo Garbo
- Department of Neuroscience, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Francesco Curcio
- Department of Laboratory Medicine, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Roberta Giacomello
- Department of Laboratory Medicine, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Martina Fabris
- Department of Laboratory Medicine, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Mariarosaria Valente
- Department of Neuroscience, S. Maria della Misericordia University Hospital, Udine, Italy
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Feigin VL. Anthology of stroke epidemiology in the 20th and 21st centuries: Assessing the past, the present, and envisioning the future. Int J Stroke 2019; 14:223-237. [DOI: 10.1177/1747493019832996] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
This narrative overview of stroke epidemiology shows dramatic changes in stroke incidence, prevalence, mortality, disability, and the understanding of risk factors and primary stroke prevention strategies over the last few decades. Likely future directions of stroke epidemiology and prevention are outlined.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences, AUT University, Auckland, New Zealand
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Felgueiras R, Magalhães R, Silva MR, Silva MC, Correia M. Transient ischemic attack: Incidence and early risk of stroke in northern Portugal from 1998–2000 to 2009–2011. Int J Stroke 2019; 15:278-288. [DOI: 10.1177/1747493019830322] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objective A decline in TIA incidence would be expected mirroring stroke trends, but patient's awareness of symptoms/signs, improved diagnostic procedures and changes in severity of vascular disease may raise TIA incidence. We aimed to estimate changes in TIA incidence and 30-day stroke risk in Portugal. Methods Data from two prospective community-based registers of first-ever TIA in 104,700 (1998–2000) and 118,232 (2009–2011) persons were collected using comprehensive case ascertainment methods. Incidence and stroke risk from TIA onset were compared using different inception cohorts. ABCD2 was used to stratified stroke risk. Results Overall, 141 patients were included in 1998–2000 and 174 in 2009–2011. Crude annual incidence rate increased from 67 to 74/100,000 (IRR=1.12; 95% CI, 0.90–1.40), particularly in men under 65 years (IRR=1.79; 95% CI, 1.06–3.04). Male/female IRR increased from 1.20 (0.86–1.68) in 1998–2000 to 1.77 (1.31–2.39) in 2009–2011, after adjustment for age. Better control of vascular risk factors (VRFs) accounted for lower ABCD2 scores in 2009–2011. The 30-day stroke risk was similar in study periods (18.4% vs. 16.7%, p > 0.7), decreasing from 16.1% to 8.2% ( p < 0.042) excluding patients reporting TIA after stroke occurrence and from 12.2% to 4.0% ( p < 0.011) further excluding patients who had stroke in ambulance/hospital. ABCD2 discriminated stroke risk only in 1998–2000; stroke severity decreased while posterior circulation stroke was more common in 2009–2011. Conclusion Despite a stable TIA incidence across periods, the risk increased in men compared to women. Better control of VRF accounted for lower ABCD2 scores and secondary prevention reduced stroke risk. Men under 65 years emerge as a preferential target for primary and secondary prevention.
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Affiliation(s)
- Rui Felgueiras
- Serviço de Neurologia, Hospital Santo António–Centro Hospitalar do Porto, Porto, Portugal
| | - Rui Magalhães
- Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal
| | - Mário R Silva
- Serviço de Neurologia, Hospital São Pedro–Centro Hospitalar de Trás-os-Montes e Alto Douro, Real, Portugal
| | - Maria C Silva
- Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal
| | - Manuel Correia
- Serviço de Neurologia, Hospital Santo António–Centro Hospitalar do Porto, Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal
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Khorvash F, Hemasian H, Shahabi S, Shahzamani A, Sheikhbahaei E, Chitsaz A. Predicting Long-Term Cardiovascular Events after Transient Ischemic Attacks: Carotid Artery Intima-Media Thickness or ABCD2 Score or Both? Int J Prev Med 2018; 9:102. [PMID: 30598740 PMCID: PMC6259433 DOI: 10.4103/ijpvm.ijpvm_415_17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Accepted: 02/14/2018] [Indexed: 11/04/2022] Open
Abstract
Background Patients who experienced transient ischemic attack (TIA) are at high-risk for cardiovascular events. This study aims to evaluate diagnostic value of carotid artery intima-media thickness (CIMT) and ABCD2 score for predicting cardiovascular events in long-term follow-up after TIA. We prospectively included sixty patients with TIA who admitted to hospital from March 2016 to August 2016. Methods Duplex ultrasonography of internal carotid arteries was performed. ABCD2 scores were evaluated for each patient. At a median follow-up of 20 months, patients were asked about new cardiovascular events. We used IBM SPSS software version 22.0 with Chi-squared, t-test, ANOVA, receiver operating characteristic, and area under the curve (AUC) analysis for our work. Results Sensitivity and negative predictive value of the combined score (ABCD2+CIMT) was the highest (96.3% and 90.9%, respectively), and the specificity and positive predictive value of the CIMT were the highest (57.5% and 63.1%, respectively) to predict cardiovascular events in long-term. Conclusion Compared to ABCD2 score, CIMT proved to be more accurate to predict cardiovascular events in long-term follow-ups (AUC = 0.736 vs. AUC = 0.640). However, adding CIMT value to ABCD2 score was even better (AUC = 0.750). Therefore, CIMT measurement in the ABCD2 score after TIA enables prediction of long-term cardiovascular events.
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Affiliation(s)
- Fariborz Khorvash
- Department of Neurology, School of Medicine, Alzahra University Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Helia Hemasian
- Department of Neurology, School of Medicine, Alzahra University Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shahab Shahabi
- Department of Neurology, School of Medicine, Alzahra University Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Arvin Shahzamani
- Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Erfan Sheikhbahaei
- Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ahmad Chitsaz
- Department of Neurology, School of Medicine, Alzahra University Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
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Furuta Y, Hata J, Mukai N, Hirakawa Y, Ago T, Kitazono T, Kiyohara Y, Ninomiya T. Secular trends in the incidence, risk factors, and prognosis of transient ischemic attack in Japan: The Hisayama Study. Atherosclerosis 2018; 273:84-90. [PMID: 29702429 DOI: 10.1016/j.atherosclerosis.2018.04.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 03/28/2018] [Accepted: 04/11/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND AND AIMS We aimed to investigate secular trends in the incidence, risk factors, and prognosis of transient ischemic attack (TIA) in a general Japanese population. METHODS Two cohorts consisting of stroke-free Japanese individuals aged ≥40 years in 1961 (n = 1621) and 1988 (n = 2646) were followed up for 24 years. The associations of potential risk factors with the development of TIA were estimated by a Cox proportional hazards model. The influence of TIA on the risk of total stroke over the subsequent 10 years was compared between the sub-cohorts of subjects with TIA and age- and sex-matched control subjects from each cohort. RESULTS During follow-up, 28 subjects in the 1961 cohort and 34 in the 1988 cohort experienced TIA. The age-standardized incidence of TIA was significantly lower in the 1988 cohort than the 1961 cohort (0.66 vs. 1.01 per 1000 person-years, p = 0.02). While elevated systolic blood pressure was significantly associated with the risk of TIA in both cohorts, glucose intolerance and higher serum cholesterol levels were associated with TIA risk only in the 1988 cohort. The subjects experiencing TIA had approximately 7-8-fold higher risks for the 10-year incidence of total and ischemic strokes compared with the corresponding control subjects without TIA both in the 1961 and 1988 sub-cohorts, and the relative risks were not significantly different between sub-cohorts. CONCLUSIONS Our results suggest that the incidence of TIA decreased during the past half century, probably due to the spread of antihypertensive treatments in the general Japanese population.
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Affiliation(s)
- Yoshihiko Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
| | - Naoko Mukai
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Tetsuro Ago
- Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, 1822-1 Kubara, Hisayama-machi, Kasuya-gun, Fukuoka 811-2501, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
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Benjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jiménez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Mackey JS, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O'Flaherty M, Palaniappan LP, Pandey A, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UKA, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P. Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association. Circulation 2018; 137:e67-e492. [PMID: 29386200 DOI: 10.1161/cir.0000000000000558] [Citation(s) in RCA: 4566] [Impact Index Per Article: 761.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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24
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Barton P, Sheppard JP, Penaloza-Ramos CM, Jowett S, Ford GA, Lasserson D, Mant J, Mellor RM, Quinn T, Rothwell PM, Sandler D, Sims D, McManus RJ. When has service provision for transient ischaemic attack improved enough? A discrete event simulation economic modelling study. BMJ Open 2017; 7:e018189. [PMID: 29175888 PMCID: PMC5719325 DOI: 10.1136/bmjopen-2017-018189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVES The aim of this study was to examine the impact of transient ischaemic attack (TIA) service modification in two hospitals on costs and clinical outcomes. DESIGN Discrete event simulation model using data from routine electronic health records from 2011. PARTICIPANTS Patients with suspected TIA were followed from symptom onset to presentation, referral to specialist clinics, treatment and subsequent stroke. INTERVENTIONS Included existing versus previous (less same day clinics) and hypothetical service reconfiguration (7-day service with less availability of clinics per day). OUTCOME MEASURES The primary outcome of the model was the prevalence of major stroke after TIA. Secondary outcomes included service costs (including those of treating subsequent stroke) and time to treatment and attainment of national targets for service provision (proportion of high-risk patients (according to ABCD2 score) seen within 24 hours). RESULTS The estimated costs of previous service provision for 490 patients (aged 74±12 years, 48.9% female and 23.6% high risk) per year at each site were £340 000 and £368 000, respectively. This resulted in 31% of high-risk patients seen within 24 hours of referral (47/150) with a median time from referral to clinic attendance/treatment of 1.15 days (IQR 0.93-2.88). The costs associated with the existing and hypothetical services decreased by £5000 at one site and increased £21 000 at the other site. Target attainment was improved to 79% (118/150). However, the median time to clinic attendance was only reduced to 0.85 days (IQR 0.17-0.99) and thus no appreciable impact on the modelled incidence of major stroke was observed (10.7 per year, 99% CI 10.5 to 10.9 (previous service) vs 10.6 per year, 99% CI 10.4 to 10.8 (existing service)). CONCLUSIONS Reconfiguration of services for TIA is effective at increasing target attainment, but in services which are already working efficiently (treating patients within 1-2 days), it has little estimated impact on clinical outcomes and increased investment may not be worthwhile.
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Affiliation(s)
- Pelham Barton
- Health Economics Unit, University of Birmingham, Birmingham, UK
| | - James P Sheppard
- Nuffield Department of Primary Care Health Sciences, NIHR School for Primary Care Research, University of Oxford, Oxford, UK
| | | | - Sue Jowett
- Health Economics Unit, University of Birmingham, Birmingham, UK
| | - Gary A Ford
- Oxford Academic Health Science Network, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Daniel Lasserson
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jonathan Mant
- Primary Care Unit, University of Cambridge, Cambridge, UK
| | - Ruth M Mellor
- Department of Public Health, NHS Lanarkshire, Bothwell, UK
| | - Tom Quinn
- Centre for Health and Social Care Research, Faculty of Health, Social Care and Education, St George's University of London, Kingston University, London, UK
| | - Peter M Rothwell
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - David Sandler
- Geriatric Medicine, Heart of England NHS Foundation Trust, Birmingham, UK
| | - Don Sims
- Stroke Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Richard J McManus
- Nuffield Department of Primary Care Health Sciences, NIHR School for Primary Care Research, University of Oxford, Oxford, UK
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25
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Béjot Y, Brenière C, Graber M, Garnier L, Durier J, Blanc-Labarre C, Delpont B, Giroud M. Contemporary Epidemiology of Transient Ischemic Attack in Dijon, France (2013–2015). Neuroepidemiology 2017; 49:135-141. [DOI: 10.1159/000484638] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 10/26/2017] [Indexed: 11/19/2022] Open
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Damush TM, Miech EJ, Sico JJ, Phipps MS, Arling G, Ferguson J, Austin C, Myers L, Baye F, Luckhurst C, Keating AB, Moran E, Bravata DM. Barriers and facilitators to provide quality TIA care in the Veterans Healthcare Administration. Neurology 2017; 89:2422-2430. [PMID: 29117959 PMCID: PMC5729798 DOI: 10.1212/wnl.0000000000004739] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 09/19/2017] [Indexed: 11/15/2022] Open
Abstract
Objective: To identify key barriers and facilitators to the delivery of guideline-based care of patients with TIA in the national Veterans Health Administration (VHA). Methods: We conducted a cross-sectional, observational study of 70 audiotaped interviews of multidisciplinary clinical staff involved in TIA care at 14 VHA hospitals. We de-identified and analyzed all transcribed interviews. We identified emergent themes and patterns of barriers to providing TIA care and of facilitators applied to overcome these barriers. Results: Identified barriers to providing timely acute and follow-up TIA care included difficulties accessing brain imaging, a constantly rotating pool of housestaff, lack of care coordination, resource constraints, and inadequate staff education. Key informants revealed that both stroke nurse coordinators and system-level factors facilitated the provision of TIA care. Few facilities had specific TIA protocols. However, stroke nurse coordinators often expanded upon their role to include TIA. They facilitated TIA care by (1) coordinating patient care across services, communicating across service lines, and educating clinical staff about facility policies and evidence-based practices; (2) tracking individual patients from emergency departments to inpatient settings and to discharge for timely follow-up care; (3) providing and referring TIA patients to risk factor management programs; and (4) performing regular audit and feedback of quality performance data. System-level facilitators included clinical service leadership engagement and use of electronic tools for continuous care across services. Conclusions: The local organization within a health care facility may be targeted to cultivate internal facilitators and a systemic infrastructure to provide evidence-based TIA care.
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Affiliation(s)
- Teresa M Damush
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT.
| | - Edward J Miech
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Jason J Sico
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Michael S Phipps
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Greg Arling
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Jared Ferguson
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Charles Austin
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Laura Myers
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Fitsum Baye
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Cherie Luckhurst
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Ava B Keating
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Eileen Moran
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
| | - Dawn M Bravata
- From the VA PRIS-M QUERI Center (T.M.D., E.J.M., J.F., C.A., L.M., D.M.B.), VA HSR&D Center for Health Information & Communication Center (CIN 13-416) (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Roudebush VAMC (T.M.D., E.J.M., J.F., C.A., L.M., C.L., D.M.B.), Indiana University School of Medicine (T.M.D., E.J.M., C.A., F.B., D.M.B.), Regenstrief Institute, Inc. (T.M.D., E.J.M., A.B.K., D.M.B.), Indianapolis, IN; VA Connecticut Healthcare System (J.J.S.), West Haven, CT; Yale University School of Medicine (J.J.S., M.S.P., J.F.), New Haven; University of Maryland School of Medicine (M.S.P.), Baltimore; School of Nursing (G.A.), Purdue University, West Lafayette, IN; and VA Office of Productivity, Efficiency, and Staffing (E.M.), West Haven, CT
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Jiang B, Sun H, Ru X, Sun D, Chen Z, Liu H, Li Y, Zhang M, Wang L, Wang L, Wu S, Wang W. Prevalence, Incidence, Prognosis, Early Stroke Risk, and Stroke-Related Prognostic Factors of Definite or Probable Transient Ischemic Attacks in China, 2013. Front Neurol 2017; 8:309. [PMID: 28713329 PMCID: PMC5491639 DOI: 10.3389/fneur.2017.00309] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 06/14/2017] [Indexed: 11/13/2022] Open
Abstract
The epidemiological characteristics of transient ischemic attacks (TIAs) in China are unclear. In 2013, we conducted a nationally representative, door-to-door epidemiological survey on TIA in China using a complex, multistage, probability sampling design. Results showed that the weighted prevalence of TIA in China was 103.3 [95% confidence interval (CI): 83.9–127.2] per 100,000 in the population, 92.4 (75.0–113.8) per 100,000 among men, and 114.7 (87.2–151.0) per 100,000 among women. The weighted incidence of TIA was 23.9 (17.8–32.0) per 100,000 in the population, 21.3 (14.3–31.5) per 100,000 among men, and 26.6 (17.0–41.7) per 100,000 among women. No difference in average prognosis was found between TIA and stroke in the population. Weighted risk of stroke among TIA patients was 9.7% (6.5–14.3%), 11.1% (7.5–16.1%), and 12.3% (8.4–17.7%) at 2, 30, and 90 days, respectively. The risk of stroke was higher among male patients with a history of TIA than among female patients with a history of TIA (OR: 2.469; 95% CI: 1.172–5.201; P = 0.018), and higher among TIA patients with hypertension than among TIA patients without hypertension (OR: 2.671; 1.547–4.613; P < 0.001). It can be concluded that there are an estimated 1.35 million TIA patients nationwide, with 0.31 million new cases of TIA annually in China. TIA patients were not better managed prior to a stroke event. Early risk of stroke among TIA patients is high. Sex and hypertension may be stroke-associated prognostic factors among TIA patients. TIA clinics and surveillance should be integrated into the national health-care system.
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Affiliation(s)
- Bin Jiang
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Haixin Sun
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaojuan Ru
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Dongling Sun
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhenghong Chen
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Hongmei Liu
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.,National Office for Cerebrovascular Diseases (CVD) Prevention and Control in China, Beijing, China
| | - Yichong Li
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mei Zhang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Linhong Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shengping Wu
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Wenzhi Wang
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.,National Office for Cerebrovascular Diseases (CVD) Prevention and Control in China, Beijing, China
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Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C, Isasi CR, Jiménez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Mackey RH, Matsushita K, Mozaffarian D, Mussolino ME, Nasir K, Neumar RW, Palaniappan L, Pandey DK, Thiagarajan RR, Reeves MJ, Ritchey M, Rodriguez CJ, Roth GA, Rosamond WD, Sasson C, Towfighi A, Tsao CW, Turner MB, Virani SS, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation 2017; 135:e146-e603. [PMID: 28122885 PMCID: PMC5408160 DOI: 10.1161/cir.0000000000000485] [Citation(s) in RCA: 6152] [Impact Index Per Article: 878.9] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Degan D, Ornello R, Tiseo C, De Santis F, Pistoia F, Carolei A, Sacco S. Epidemiology of Transient Ischemic Attacks Using Time- or Tissue-Based Definitions. Stroke 2017; 48:530-536. [DOI: 10.1161/strokeaha.116.015417] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 11/17/2016] [Accepted: 12/07/2016] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Transient ischemic attack (TIA) epidemiology may have changed in recent years as a consequence of improved identification and treatment of vascular risk factors. Our aim was to provide updated information about TIA epidemiology in Italy.
Methods—
Cases of first-ever TIA were ascertained from January 1, 2011, until December 31, 2012, in a population-based prospective registry. All residents in the L’Aquila district with an incident TIA were included and followed up to 2 years after the event. Outcome events were recurrent TIA, nonfatal and fatal stroke, nonfatal and fatal myocardial infarction, and all-cause mortality.
Results—
A total of 210 patients with a TIA according to the traditional time-based definition were included (51.4% women); 151 patients (71.9%) with transient symptoms and negative brain neuroimaging were broadly considered as tissue-based TIA, 29 patients (13.8%) had transient symptoms and evidence of a congruous acute ischemic lesion, and 30 patients (14.3%) had an acute neurovascular syndrome. The crude annual incidence rate for traditional time-based TIA was 35.2 per 100 000 (95% confidence interval, 30.6–40.3) and 28.6 per 100 000 (95% confidence interval, 24.1–33.5) when standardized to the 2011 European population. The incidence peaked in subjects aged ≥85 years, in both sexes. At 2 years, outcome events occurred in 50 patients (23.8%) including 15 patients (7.1%) with nonfatal or fatal strokes.
Conclusions—
Our population-based study found a low annual TIA incidence rate and a fair TIA prognosis confirming the effectiveness of preventive strategies for cardiovascular diseases. We also proved the nonfitting applicability of the tissue-based definition in our district.
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Affiliation(s)
- Diana Degan
- From the Institute of Neurology, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy
| | - Raffaele Ornello
- From the Institute of Neurology, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy
| | - Cindy Tiseo
- From the Institute of Neurology, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy
| | - Federica De Santis
- From the Institute of Neurology, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy
| | - Francesca Pistoia
- From the Institute of Neurology, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy
| | - Antonio Carolei
- From the Institute of Neurology, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy
| | - Simona Sacco
- From the Institute of Neurology, Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, Italy
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Magnetic resonance imaging detection of multiple ischemic injury produced in an adult rat model of minor stroke followed by mild transient cerebral ischemia. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2016; 30:175-188. [PMID: 27815649 PMCID: PMC5364243 DOI: 10.1007/s10334-016-0597-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 10/13/2016] [Accepted: 10/14/2016] [Indexed: 10/26/2022]
Abstract
OBJECTIVES To determine whether cumulative brain damage produced adjacent to a minor stroke that is followed by a mild transient ischemia is detectable with MRI and histology, and whether acute or chronic recovery between insults influences this damage. MATERIALS AND METHODS A minor photothrombotic (PT) stroke was followed acutely (1-2 days) or chronically (7 days) by a mild transient middle cerebral artery occlusion (tMCAO). MRI was performed after each insult, followed by final histology. RESULTS The initial PT produced small hyperintense T2 and DW infarct lesions and peri-lesion regions of scattered necrosis and modestly increased T2. Following tMCAO, in a slice and a region adjacent to the PT, a region of T2 augmentation was observed when recovery between insults was acute but not chronic. Within the PT slice, a modest region of exacerbated T2 change proximate to the PT was also observed in the chronic group. Corresponding histological changes within regions of augmented T2 included increased vacuolation and cell death. CONCLUSION Within regions adjacent to an experimental minor stroke, a recurrence of a mild transient cerebral ischemia augmented T2 above increases produced by tMCAO alone, reflecting increased damage in this region. Exacerbation appeared broader with acute versus chronic recovery between insults.
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Abstract
Despite major improvements in primary prevention and acute treatment over the last decades, stroke is still a devastating disease. At the beginning of the 21st century, the age-standardized incidence of stroke in Europe ranged from 95 to 290/100,000 per year, with one-month case-fatality rates ranging from 13 to 35%. Approximately 1.1 million inhabitants of Europe suffered a stroke each year, and ischemic stroke accounted for approximately 80% of cases. Although global stroke incidence is declining, rates observed in young adults are on the rise, thus suggesting a need for strategies to improve prevention. In addition, because of the ageing population, the absolute number of stroke is expected to dramatically increase in coming years: by 2025, 1.5 million European people will suffer a stroke each year. Beyond vital prognosis, stroke patients are also at increased risk of poor outcome within the first year of the event including re-hospitalisation (33%), recurrent event (7 to 13%), dementia (7 to 23%) mild cognitive disorder (35 to 47%), depression (30 to 50%), and fatigue (35% to 92%), all of them contributing to affect health related quality of life. Given these observations, an urgent development of acute care provision, as well as resources for post-stroke therapeutic strategies, is needed.
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Clinical Policy: Critical Issues in the Evaluation of Adult Patients With Suspected Transient Ischemic Attack in the Emergency Department. Ann Emerg Med 2016; 68:354-370.e29. [DOI: 10.1016/j.annemergmed.2016.06.048] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Barber PA, Krishnamurthi R, Parag V, Anderson NE, Ranta A, Kilfoyle D, Wong E, Green G, Arroll B, Bennett DA, Witt E, Rush E, Minsun Suh F, Theadom A, Rathnasabapathy Y, Te Ao B, Parmar P, Feigin VL. Incidence of Transient Ischemic Attack in Auckland, New Zealand, in 2011 to 2012. Stroke 2016; 47:2183-8. [PMID: 27470991 DOI: 10.1161/strokeaha.116.014010] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 07/01/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE There have been few recent population-based studies reporting the incidence (first ever) and attack rates (incident and recurrent) of transient ischemic attack (TIA). METHODS The fourth Auckland Regional Community Stroke study (ARCOS IV) used multiple overlapping case ascertainment methods to identify all hospitalized and nonhospitalized cases of TIA that occurred in people ≥16 years of age usually resident in Auckland (population ≥16 years of age is 1.12 million), during the 12 months from March 1, 2011. All first-ever and recurrent new TIAs (any new TIA 28 days after the index event) during the study period were recorded. RESULTS There were 785 people with TIA (402 [51.2%] women, mean [SD] age 71.5 [13.8] years); 614 (78%) of European origin, 84 (11%) Māori/Pacific, and 75 (10%) Asian/Other. The annual incidence of TIA was 40 (95% confidence interval, 36-43), and attack rate was 63 (95% confidence interval, 59-68), per 100 000 people, age standardized to the World Health Organization world population. Approximately two thirds of people were known to be hypertensive or were being treated with blood pressure-lowering agents, half were taking antiplatelet agents and just under half were taking lipid-lowering therapy before the index TIA. Two hundred ten (27%) people were known to have atrial fibrillation at the time of the TIA, of whom only 61 (29%) were taking anticoagulant therapy, suggesting a failure to identify or treat atrial fibrillation. CONCLUSIONS This study describes the burden of TIA in an era of aggressive primary and secondary vascular risk factor management. Education programs for medical practitioners and patients around the identification and management of atrial fibrillation are required.
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Affiliation(s)
- P Alan Barber
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.).
| | - Rita Krishnamurthi
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Varsha Parag
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Neil E Anderson
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Annemarei Ranta
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Dean Kilfoyle
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Edward Wong
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Geoff Green
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Bruce Arroll
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Derrick A Bennett
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Emma Witt
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Elaine Rush
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Flora Minsun Suh
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Alice Theadom
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Yogini Rathnasabapathy
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Braden Te Ao
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Priyakumari Parmar
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
| | - Valery L Feigin
- From the Centre for Brain Research (P.A.B.), National Institute for Health Innovation (V.P.), and Department of General Practice and Primary Health Care (B.A.), University of Auckland, New Zealand; National Institute for Stroke and Applied Neurosciences (R.K., E.W., A.T., B.T.A., P.P., V.L.F.) and School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences (E.R.), Auckland University of Technology, New Zealand; Department of Neurology, Auckland City Hospital, New Zealand (P.A.B., N.E.A., D.K., E.W.); Departments of Medicine, Waitemata (D.K., Y.R., V.L.F.) and Counties Manukau (E.W., G.G.), District Health Boards, Auckland, New Zealand; Department of Neurology, Wellington Hospital, New Zealand (A.R.) and Department of Medicine, University of Otago, Wellington, New Zealand (A.R.); School of Psychology, University of Queensland, Brisbane, Australia (F.M.S.); and Nuffield Department of Population Health, University of Oxford, United Kingdom (D.A.B.)
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Cosker K, Samson S, Fagot-Campagna A, Woimant F, Tuppin P. First hospitalization for transient ischemic attack in France: Characteristics, treatments and 3-year outcomes. Rev Neurol (Paris) 2016; 172:152-9. [DOI: 10.1016/j.neurol.2015.06.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 06/03/2015] [Accepted: 06/23/2015] [Indexed: 11/29/2022]
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Abstract
With 16.9 million people who suffered a first-ever stroke in 2010 worldwide, stroke is a very common vascular disease. Epidemiologic studies have played an essential role in assessing this burden and in detecting the risk factors for stroke. Primary prevention of these risk factors, primarily hypertension, smoking, diabetes, and atrial fibrillation, has reduced the incidence in high-income countries. However, stroke remains a major cause of death and disability, and therefore research should be continued. Subarachnoid hemorrhages are less prevalent than strokes but have an even higher risk of death. Similar to stroke, epidemiologic studies identified smoking and hypertension as its most important risk factors, together with excessive alcohol intake. Although rare, arterial dissections, CADASIL, arteriovenous malformations, venous sinus thrombosis, moyamoya disease, and vasculitis can lead to serious symptoms. The burden and risk factors of those rare diseases are more challenging to assess. Whenever possible, they should be recognized in a timely manner for their increased risk of stroke, but most often they are diagnosed only at the time of stroke. Some cerebrovascular abnormalities do not result in immediate symptoms. This subclinical cerebrovascular disease includes silent infarcts, white-matter lesions, and microbleeds, and is incidentally found by neuroimaging. These lesions are not innocent, as several epidemiologic studies have associated subclinical cerebrovascular disease with an increased risk of stroke, cognitive decline, dementia, and death.
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Affiliation(s)
- M L P Portegies
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
| | - P J Koudstaal
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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Béjot Y, Daubail B, Giroud M. Epidemiology of stroke and transient ischemic attacks: Current knowledge and perspectives. Rev Neurol (Paris) 2015; 172:59-68. [PMID: 26718592 DOI: 10.1016/j.neurol.2015.07.013] [Citation(s) in RCA: 157] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Revised: 07/09/2015] [Accepted: 07/22/2015] [Indexed: 11/26/2022]
Abstract
Because of the growing size and aging of the world's population, the global burden of stroke is increasing dramatically. Current epidemiological data indicate that 16.9 million people suffer a stroke each year, which represents a global incidence of 258/100,000/year, with marked differences between high- and low-income countries, and an age-adjusted incidence 1.5 times higher in men than in women. Although primary prevention has contributed to a decrease in stroke incidence in high-income countries, the so-called 'epidemiological transition' has led to an increase in incidence in middle-to-low-income countries as well. In addition, the incidence of ischemic stroke in young adults is on the rise, suggesting a need for specific preventative interventions in that age group. The number of stroke survivors almost doubled between 1990 and 2010, and has now reached 33 million people. According to epidemiological projections, this number will rise to 77 million by 2030. In France, the number of hospitalizations for an acute cerebrovascular event was about 138,000 in 2009, accounting for 3% of the total national health expenditure. Outcomes after stroke are frequently impaired by complications, including motor handicaps, dementia, depression, fatigue, and a high risk of early rehospitalization and institutionalization, with adverse consequences in terms of socioeconomic costs. In addition, there are 5.9 million stroke-related deaths worldwide every year. Finally, although many analytical epidemiological studies have considerably increased our knowledge of risk factors for stroke, the recent INTERSTROKE study provided evidence that 10 risk factors alone accounted for 88% of all strokes. Many of these risk factors are modifiable, which suggests that efforts should be made to promote interventions that aim to reduce the risk of stroke. A new 'mass approach' aiming to reduce the level of stroke risk factors in all people in a region, regardless of any given individual's level of risk, is currently still being developed. This interesting and innovative way to spread stroke awareness is based on the use of an internationally validated mobile-phone application that can calculate the risk of stroke for any given individual, and also contains a section to educate people on stroke warning symptoms and signs.
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Affiliation(s)
- Y Béjot
- Dijon Stroke Registry, EA4184, Department of Neurology, University Hospital and Medical School of Dijon, University of Burgundy, 21079 Dijon cedex, France.
| | - B Daubail
- Dijon Stroke Registry, EA4184, Department of Neurology, University Hospital and Medical School of Dijon, University of Burgundy, 21079 Dijon cedex, France
| | - M Giroud
- Dijon Stroke Registry, EA4184, Department of Neurology, University Hospital and Medical School of Dijon, University of Burgundy, 21079 Dijon cedex, France
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Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Després JP, Fullerton HJ, Howard VJ, Huffman MD, Isasi CR, Jiménez MC, Judd SE, Kissela BM, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Magid DJ, McGuire DK, Mohler ER, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Rosamond W, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Woo D, Yeh RW, Turner MB. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation 2015; 133:e38-360. [PMID: 26673558 DOI: 10.1161/cir.0000000000000350] [Citation(s) in RCA: 3744] [Impact Index Per Article: 416.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Serafini A, Gigli GL, Gregoraci G, Janes F, Cancelli I, Novello S, Valente M. Are Early Seizures Predictive of Epilepsy after a Stroke? Results of a Population-Based Study. Neuroepidemiology 2015; 45:50-8. [PMID: 26227564 DOI: 10.1159/000382078] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2014] [Accepted: 04/03/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND In addition to determining the cumulative incidence and risk factors for early seizures (ES), late seizures (LS) and post stroke epilepsy (PSE), we aimed at checking if ES represented a risk factor for epilepsy and if early treatment after ES prevented the occurrence of subsequent seizures. METHODS This study was part of a 2-year prospective community-based registry of all cerebrovascular events in the district of Udine (153,312 inhabitants), North-Eastern Italy, between April 1, 2007 and March 31, 2009. People with transient ischemic attacks (TIAs) were excluded from this study. RESULTS In all, 782 cases of stroke (79.28% ischemic, 14.83% hemorrhagic, 3.20% subarachnoid hemorrhage and 2.69% undetermined) were identified. The incidence of ES, LS and PSE was 5.10, 3.14 and 2.22%, respectively. Intracerebral hemorrhage, subarachnoid hemorrhage, stroke of undetermined origin and hyponatremia, represented risk factors for ES (p < 0.05). Among ischemic strokes, ES risk factors were hyponatremia (p = 0.024) and hemorrhagic transformation (p = 0.046). LS risk factors were younger age (p = 0.004) and cortical location of stroke (p = 0.004). Within ischemic strokes, LS risk factors were younger age (p = 0.020) and cortical location (p < 0.0001). Within intracerebral hemorrhages, the only risk factor for LS was the presence of a previous ES (p = 0.017). PSE risk factors were the same as for LS. CONCLUSIONS All acute conditions related to the occurrence of stroke are implicated in the pathogenesis of ES, which becomes a risk factor for LS only in the setting of intracerebral hemorrhages. Therefore, early antiepileptic treatment is needed only in this situation.
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Affiliation(s)
- Anna Serafini
- Neurology Unit, University-Hospital, University of Udine Medical School, Udine, Italy
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Wardlaw JM, Brazzelli M, Chappell FM, Miranda H, Shuler K, Sandercock PAG, Dennis MS. ABCD2 score and secondary stroke prevention: meta-analysis and effect per 1,000 patients triaged. Neurology 2015; 85:373-80. [PMID: 26136519 DOI: 10.1212/wnl.0000000000001780] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Accepted: 02/23/2015] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Patients with TIA have high risk of recurrent stroke and require rapid assessment and treatment. The ABCD2 clinical risk prediction score is recommended for patient triage by stroke risk, but its ability to stratify by known risk factors and effect on clinic workload are unknown. METHODS We performed a systematic review and meta-analysis of all studies published between January 2005 and September 2014 that reported proportions of true TIA/minor stroke or mimics, risk factors, and recurrent stroke rates, dichotomized to ABCD2 score </≥4. We calculated the effect per 1,000 patients triaged on stroke prevention services. RESULTS Twenty-nine studies, 13,766 TIA patients (range 69-1,679), were relevant: 48% calculated the ABCD2 score retrospectively; few reported on the ABCD2 score's ability to identify TIA mimics or use by nonspecialists. Meta-analysis showed that ABCD2 ≥4 was sensitive (86.7%, 95% confidence interval [CI] 81.4%-90.7%) but not specific (35.4%, 95% CI 33.3%-37.6%) for recurrent stroke within 7 days. Additionally, 20% of patients with ABCD2 <4 had >50% carotid stenosis or atrial fibrillation (AF); 35%-41% of TIA mimics, and 66% of true TIAs, had ABCD2 score ≥4. Among 1,000 patients attending stroke prevention services, including the 45% with mimics, 52% of patients would have an ABCD2 score ≥4. CONCLUSION The ABCD2 score does not reliably discriminate those at low and high risk of early recurrent stroke, identify patients with carotid stenosis or AF needing urgent intervention, or streamline clinic workload. Stroke prevention services need adequate capacity for prompt specialist clinical assessment of all suspected TIA patients for correct patient management.
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Affiliation(s)
- Joanna M Wardlaw
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., K.S., P.A.G.S., M.S.D.), University of Edinburgh; the Health Services Research Unit (M.B.), University of Aberdeen, UK; the Department of Neurology (H.M.), Santiago, Chile; and the Scottish Imaging Network (J.M.W., F.M.C., K.S., P.A.G.S.), A Platform for Scientific Excellence (SINAPSE), Inverness, Scotland.
| | - Miriam Brazzelli
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., K.S., P.A.G.S., M.S.D.), University of Edinburgh; the Health Services Research Unit (M.B.), University of Aberdeen, UK; the Department of Neurology (H.M.), Santiago, Chile; and the Scottish Imaging Network (J.M.W., F.M.C., K.S., P.A.G.S.), A Platform for Scientific Excellence (SINAPSE), Inverness, Scotland
| | - Francesca M Chappell
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., K.S., P.A.G.S., M.S.D.), University of Edinburgh; the Health Services Research Unit (M.B.), University of Aberdeen, UK; the Department of Neurology (H.M.), Santiago, Chile; and the Scottish Imaging Network (J.M.W., F.M.C., K.S., P.A.G.S.), A Platform for Scientific Excellence (SINAPSE), Inverness, Scotland
| | - Hector Miranda
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., K.S., P.A.G.S., M.S.D.), University of Edinburgh; the Health Services Research Unit (M.B.), University of Aberdeen, UK; the Department of Neurology (H.M.), Santiago, Chile; and the Scottish Imaging Network (J.M.W., F.M.C., K.S., P.A.G.S.), A Platform for Scientific Excellence (SINAPSE), Inverness, Scotland
| | - Kirsten Shuler
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., K.S., P.A.G.S., M.S.D.), University of Edinburgh; the Health Services Research Unit (M.B.), University of Aberdeen, UK; the Department of Neurology (H.M.), Santiago, Chile; and the Scottish Imaging Network (J.M.W., F.M.C., K.S., P.A.G.S.), A Platform for Scientific Excellence (SINAPSE), Inverness, Scotland
| | - Peter A G Sandercock
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., K.S., P.A.G.S., M.S.D.), University of Edinburgh; the Health Services Research Unit (M.B.), University of Aberdeen, UK; the Department of Neurology (H.M.), Santiago, Chile; and the Scottish Imaging Network (J.M.W., F.M.C., K.S., P.A.G.S.), A Platform for Scientific Excellence (SINAPSE), Inverness, Scotland
| | - Martin S Dennis
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., K.S., P.A.G.S., M.S.D.), University of Edinburgh; the Health Services Research Unit (M.B.), University of Aberdeen, UK; the Department of Neurology (H.M.), Santiago, Chile; and the Scottish Imaging Network (J.M.W., F.M.C., K.S., P.A.G.S.), A Platform for Scientific Excellence (SINAPSE), Inverness, Scotland
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Palomeras Soler E, Fossas Felip P, Cano Orgaz A, Sanz Cartagena P, Casado Ruiz V, Muriana Batista D. Evaluación rápida del ataque isquémico transitorio en un hospital sin guardias de neurología. Neurologia 2015; 30:325-30. [DOI: 10.1016/j.nrl.2013.12.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Revised: 10/24/2013] [Accepted: 12/29/2013] [Indexed: 01/08/2023] Open
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Palomeras Soler E, Fossas Felip P, Cano Orgaz A, Sanz Cartagena P, Casado Ruiz V, Muriana Batista D. Rapid assessment of transient ischaemic attack in a hospital with no on-call neurologist. NEUROLOGÍA (ENGLISH EDITION) 2015. [DOI: 10.1016/j.nrleng.2015.05.004] [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] Open
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D'Anna L, Gigli GL, Gregoraci G, Canal G, Giopato F, Janes F, Perelli A, Russo V, Zanchettin B, Valente M. Identification of Stroke Etiology May Contribute to Improve the Outcome in Dedicated Units. J Stroke Cerebrovasc Dis 2015; 24:802-10. [DOI: 10.1016/j.jstrokecerebrovasdis.2014.11.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2014] [Revised: 09/22/2014] [Accepted: 11/18/2014] [Indexed: 10/24/2022] Open
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Erdur H, Scheitz JF, Ebinger M, Rocco A, Grittner U, Meisel A, Rothwell PM, Endres M, Nolte CH. In-hospital stroke recurrence and stroke after transient ischemic attack: frequency and risk factors. Stroke 2015; 46:1031-7. [PMID: 25737318 DOI: 10.1161/strokeaha.114.006886] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE We aimed to assess the risk of recurrent ischemic events during hospitalization for stroke or transient ischemic attack (TIA) with optimal current management and to identify associated risk factors. METHODS We performed a retrospective analysis of all patients treated for acute ischemic stroke or TIA in 3 stroke units between 2010 and 2013. Recurrent stroke was defined as new persisting (≥24 hours) neurological deficit occurring >24 hours after the index event and not attributable to other causes of neurological deterioration. Cox proportional hazard regression identified risk factors associated with recurrent stroke. RESULTS The study included 5106 patients. During a median length of stay of 5 days (interquartile range, 4-8), stroke recurrence (or stroke after TIA) occurred in 40 patients (0.8%) and was independently associated with history of TIA, symptomatic carotid stenosis (≥70%), or other determined etiology. Patients with recurrent stroke and other determined etiology had cervical arterial dissection (n=2), primary angiitis of the central nervous system (n=1), giant cell arteritis (n=1), and lung cancer with nonbacterial thrombotic endocarditis (n=1). In patients with initial TIA or minor stroke (National Institutes of Health Stroke Scale ≤5) recurrence was associated additionally with pneumonia after the inciting ischemic event but before stroke recurrence. Patients with initial stroke and aphasia had a lower stroke recurrence rate and there were no recurrences in patients with lacunar stroke. Recurrence was associated with significantly higher in-hospital mortality (17.5% versus 3.1%; P<0.001). CONCLUSIONS In-hospital stroke recurrence was low with optimal current management. Patients with a history of TIA, severe symptomatic carotid stenosis, or uncommon causes of stroke were at higher risk. Pneumonia was associated with a higher risk of stroke recurrence in patients with initial TIA or minor stroke but not in the overall population studied. Aphasia may bias the detection rate by concealing new neurological symptoms.
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Affiliation(s)
- Hebun Erdur
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.).
| | - Jan F Scheitz
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.)
| | - Martin Ebinger
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.)
| | - Andrea Rocco
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.)
| | - Ulrike Grittner
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.)
| | - Andreas Meisel
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.)
| | - Peter M Rothwell
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.)
| | - Matthias Endres
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.)
| | - Christian H Nolte
- From the Department of Neurology (H.E., J.F.S., M. Ebinger, A.R., A.M., M. Endres, C.H.N.), Center for Stroke Research (J.F.S., M. Ebinger, U.G., A.M., M. Endres, C.H.N.), NeuroCure, Cluster of Excellence (J.F.S., A.M., M. Endres), and Department for Biostatistics and Clinical Epidemiology (U.G.), Charité-Universitätsmedizin Berlin, Berlin, Germany; and Stroke Prevention Research Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom (P.M.R.)
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Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, de Ferranti S, Després JP, Fullerton HJ, Howard VJ, Huffman MD, Judd SE, Kissela BM, Lackland DT, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Matchar DB, McGuire DK, Mohler ER, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Willey JZ, Woo D, Yeh RW, Turner MB. Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation 2014; 131:e29-322. [PMID: 25520374 DOI: 10.1161/cir.0000000000000152] [Citation(s) in RCA: 4471] [Impact Index Per Article: 447.1] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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45
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Wardlaw J, Brazzelli M, Miranda H, Chappell F, McNamee P, Scotland G, Quayyum Z, Martin D, Shuler K, Sandercock P, Dennis M. An assessment of the cost-effectiveness of magnetic resonance, including diffusion-weighted imaging, in patients with transient ischaemic attack and minor stroke: a systematic review, meta-analysis and economic evaluation. Health Technol Assess 2014; 18:1-368, v-vi. [PMID: 24791949 DOI: 10.3310/hta18270] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Patients with transient ischaemic attack (TIA) or minor stroke need rapid treatment of risk factors to prevent recurrent stroke. ABCD2 score or magnetic resonance diffusion-weighted brain imaging (MR DWI) may help assessment and treatment. OBJECTIVES Is MR with DWI cost-effective in stroke prevention compared with computed tomography (CT) brain scanning in all patients, in specific subgroups or as 'one-stop' brain-carotid imaging? What is the current UK availability of services for stroke prevention? DATA SOURCES Published literature; stroke registries, audit and randomised clinical trials; national databases; survey of UK clinical and imaging services for stroke; expert opinion. REVIEW METHODS Systematic reviews and meta-analyses of published/unpublished data. Decision-analytic model of stroke prevention including on a 20-year time horizon including nine representative imaging scenarios. RESULTS The pooled recurrent stroke rate after TIA (53 studies, 30,558 patients) is 5.2% [95% confidence interval (CI) 3.9% to 5.9%] by 7 days, and 6.7% (5.2% to 8.7%) at 90 days. ABCD2 score does not identify patients with key stroke causes or identify mimics: 66% of specialist-diagnosed true TIAs and 35-41% of mimics had an ABCD2 score of ≥ 4; 20% of true TIAs with ABCD2 score of < 4 had key risk factors. MR DWI (45 studies, 9078 patients) showed an acute ischaemic lesion in 34.3% (95% CI 30.5% to 38.4%) of TIA, 69% of minor stroke patients, i.e. two-thirds of TIA patients are DWI negative. TIA mimics (16 studies, 14,542 patients) make up 40-45% of patients attending clinics. UK survey (45% response) showed most secondary prevention started prior to clinic, 85% of primary brain imaging was same-day CT; 51-54% of patients had MR, mostly additional to CT, on average 1 week later; 55% omitted blood-sensitive MR sequences. Compared with 'CT scan all patients' MR was more expensive and no more cost-effective, except for patients presenting at > 1 week after symptoms to diagnose haemorrhage; strategies that triaged patients with low ABCD2 scores for slow investigation or treated DWI-negative patients as non-TIA/minor stroke prevented fewer strokes and increased costs. 'One-stop' CT/MR angiographic-plus-brain imaging was not cost-effective. LIMITATIONS Data on sensitivity/specificity of MR in TIA/minor stroke, stroke costs, prognosis of TIA mimics and accuracy of ABCD2 score by non-specialists are sparse or absent; all analysis had substantial heterogeneity. CONCLUSIONS Magnetic resonance with DWI is not cost-effective for secondary stroke prevention. MR was most helpful in patients presenting at > 1 week after symptoms if blood-sensitive sequences were used. ABCD2 score is unlikely to facilitate patient triage by non-stroke specialists. Rapid specialist assessment, CT brain scanning and identification of serious underlying stroke causes is the most cost-effective stroke prevention strategy. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Joanna Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Miriam Brazzelli
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Hector Miranda
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Francesca Chappell
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Paul McNamee
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Graham Scotland
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Zahid Quayyum
- Health Economics Research Unit, University of Aberdeen, Aberdeen, UK
| | - Duncan Martin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Kirsten Shuler
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Peter Sandercock
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Martin Dennis
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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46
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Gulli G, Peron E, Ricci G, Formaglio E, Micheletti N, Tomelleri G, Moretto G. Yield of ultra-rapid carotid ultrasound and stroke specialist assessment in patients with TIA and minor stroke: an Italian TIA service audit. Neurol Sci 2014; 35:1969-75. [DOI: 10.1007/s10072-014-1875-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2014] [Accepted: 06/27/2014] [Indexed: 10/24/2022]
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Affiliation(s)
- Elaine T. Miller
- From the University of Cincinnati, College of Nursing, OH (E.T.M.); and Saint Luke’s Hospital of Kansas City, MO (D.S.)
| | - Debbie Summers
- From the University of Cincinnati, College of Nursing, OH (E.T.M.); and Saint Luke’s Hospital of Kansas City, MO (D.S.)
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48
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Kiyohara T, Kamouchi M, Kumai Y, Ninomiya T, Hata J, Yoshimura S, Ago T, Okada Y, Kitazono T, Ishitsuka T, Fujimoto S, Ibayashi S, Kusuda K, Arakawa S, Tamaki K, Sadoshima S, Irie K, Fujii K, Okada Y, Yasaka M, Nagao T, Ooboshi H, Omae T, Toyoda K, Nakane H, Sugimori H, Fukuda K, Matsuo R, Kuroda J, Fukushima Y. ABCD3 and ABCD3-I Scores Are Superior to ABCD2 Score in the Prediction of Short- and Long-Term Risks of Stroke After Transient Ischemic Attack. Stroke 2014; 45:418-25. [DOI: 10.1161/strokeaha.113.003077] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Takuya Kiyohara
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | - Masahiro Kamouchi
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | - Yasuhiro Kumai
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | - Toshiharu Ninomiya
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | - Jun Hata
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | - Sohei Yoshimura
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | - Tetsuro Ago
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | - Yasushi Okada
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | - Takanari Kitazono
- From the Departments of Medicine and Clinical Science (T. Kiyohara, Y.K., T.N., J.H., S.Y., T.A., T. Kitazono), Health Care Administration and Management (M.K.), and Environmental Medicine (T.N., J.H.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Nephrology, Hypertension, and Strokology, Kyushu University Hospital, Fukuoka, Japan (M.K., T.A., T. Kitazono); Department of Cerebrovascular Disease and Neurology, Hakujyuji Hospital, Fukuoka, Japan (Y.K.)
| | | | | | | | | | - Shuji Arakawa
- Japan Labour Health and Welfare Organization Kyushu Rosai Hospital
| | | | | | | | | | - Yasushi Okada
- National Hospital Organization Kyushu Medical Center
| | | | | | | | | | | | - Hiroshi Nakane
- National Hospital Organization Fukuoka-Higashi Medical Center
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Gupta HV, Farrell AM, Mittal MK. Transient ischemic attacks: predictability of future ischemic stroke or transient ischemic attack events. Ther Clin Risk Manag 2014; 10:27-35. [PMID: 24476667 PMCID: PMC3891764 DOI: 10.2147/tcrm.s54810] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
The short-term risk of an ischemic stroke after a transient ischemic attack (TIA) is estimated to be approximately 3%–10% at 2 days, 5% at 7 days, and 9%–17% at 90 days, depending on active or passive ascertainment of ischemic stroke. Various risk prediction scores are available to identify high-risk patients. We present here a pragmatic review of the literature discussing the main scoring systems. We also provide the sensitivity, specificity, positive predictive value, and negative predictive value for each scoring system. Our review shows that scoring systems including brain imaging and vascular imaging are better at risk prediction than scores that do not include this information.
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Affiliation(s)
- Harsh V Gupta
- Department of Neurology, The University of Arkansas Medical Sciences, Little Rock, AR
| | - Ann M Farrell
- Department of Knowledge and Evaluation Research, Mayo Clinic, Rochester, MN
| | - Manoj K Mittal
- Department of Neurology, The University of Kansas Medical Center, Kansas City, KS, USA
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50
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Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, Dai S, Ford ES, Fox CS, Franco S, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA, Howard VJ, Huffman MD, Judd SE, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth LD, Mackey RH, Magid DJ, Marcus GM, Marelli A, Matchar DB, McGuire DK, Mohler ER, Moy CS, Mussolino ME, Neumar RW, Nichol G, Pandey DK, Paynter NP, Reeves MJ, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Wong ND, Woo D, Turner MB. Heart disease and stroke statistics--2014 update: a report from the American Heart Association. Circulation 2014; 129:e28-e292. [PMID: 24352519 PMCID: PMC5408159 DOI: 10.1161/01.cir.0000441139.02102.80] [Citation(s) in RCA: 3534] [Impact Index Per Article: 353.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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