1
|
Arba F, Rinaldi C, Jensen M, Endres M, Fiebach JB, Lemmens R, Muir KW, Nighoghossian N, Pedraza S, Simonsen CZ, Thijs V, Gerloff C, Wardlaw JM, Thomalla G. Validation of a simple clinical tool for screening of acute lacunar stroke-A substudy of the WAKE-UP trial. Int J Stroke 2024:17474930241253987. [PMID: 38676549 DOI: 10.1177/17474930241253987] [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: 04/29/2024]
Abstract
INTRODUCTION Lacunar stroke represents around a quarter of all ischemic strokes; however, their identification with computed tomography in the hyperacute setting is challenging. We aimed to validate a clinical score to identify lacunar stroke in the acute setting, independently, with data from the WAKE-UP trial using magnetic resonance imaging. METHODS We analyzed data from the WAKE-UP trial and extracted Oxfordshire Community Stroke Project (OCSP) classification. Lacunar score was defined by National Institutes of Health Stroke Scale (NIHSS) < 7 and OCSP lacunar syndrome. Assessment of lacunar infarct by two independent investigators was blinded to clinical data. We calculated sensitivity, specificity, negative and positive predictive value (NPV and PPV, respectively) of lacunar score. RESULTS We included 503 patients in the analysis, mean (±SD) age 65.2 (±11.6) years, 325 (65%) males, median (IQR) NIHSS = 6 (4-9); 108 (22%) lacunar infarcts were identified on magnetic resonance (MR), patients fulfilling lacunar score criteria were 120 (24%), of which 47 (44%) had a lacunar infarct. Lacunar score was negative in 322 (82%) of patients without lacunar infarct. Patients with lacunar score had lower NIHSS (4 vs 7, p < 0.001), higher systolic (157 vs 151 mmHg, p = 0.001) and diastolic (86 vs 83 mmHg, p = 0.013) blood pressure and smaller infarct volume (2.4 vs 9.5 mL, p < 0.001). Performance of lacunar score was as follows: sensitivity 0.44; specificity 0.82; PPV 0.39; NPV 0.84; and accuracy 0.73. Assuming a prevalence of lacunar stroke of 13%, PPV lowered to 0.30 but NPV was 0.90. Lacunar score performed better for supratentorial lacunar infarcts. CONCLUSION Lacunar score had a very good specificity and NPV for screening of lacunar stroke. Implementation of this simple tool into clinical practice may help hyperacute management and guide patient selection in clinical trials. DATA ACCESS STATEMENT Data supporting the results of this paper are available upon reasonable request to the corresponding author.
Collapse
Affiliation(s)
- Francesco Arba
- Stroke Unit, Careggi University Hospital, Florence, Italy
| | - Chiara Rinaldi
- NEUROFARBA Department, University of Florence, Florence, Italy
| | - Märit Jensen
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Endres
- Klinik und Hochschulambulanz für Neurologie, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Centrum für Schlaganfallforschung Berlin (CSB), Charité-Universitätsmedizin Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Partner Site Berlin, Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
- German Center for Mental Health (DZPG), Partner Site Berlin, Berlin, Germany
| | - Jochen B Fiebach
- Centrum für Schlaganfallforschung Berlin (CSB), Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Robin Lemmens
- VIB Center for Brain & Disease Research, Department of Neurosciences, Experimental Neurology, KU Leuven-University of Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Keith W Muir
- Institute of Neuroscience & Psychology, University of Glasgow, Glasgow, UK
| | - Norbert Nighoghossian
- Department of Stroke Medicine, Université Claude Bernard Lyon, Lyon, France
- Hospices Civils de Lyon, Lyon, France
| | - Salvador Pedraza
- Department of Radiology, Institut de Diagnòstic per la Imatge (IDI), Hospital Universitari Dr. Josep Trueta, Institut d'Investigació Biomèdica de Girona (IDIBGI), Girona, Spain
| | - Claus Z Simonsen
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Vincent Thijs
- Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia
| | - Christian Gerloff
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences and UK Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Götz Thomalla
- Klinik und Poliklinik für Neurologie, Kopf- und Neurozentrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| |
Collapse
|
2
|
de Andrade JBC, Mohr JP, Lima FO, Barros LCM, de Meira GAR, Silva Junior EAB, Robles AC, Silva GS. Predictors of congruency between clinical and radiographic Oxfordshire Community Stroke Project Classification subtypes. J Clin Neurosci 2023; 115:47-52. [PMID: 37487447 DOI: 10.1016/j.jocn.2023.07.015] [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: 02/08/2023] [Revised: 07/13/2023] [Accepted: 07/18/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND The Oxfordshire Community Stroke Project (OCSP) classification has been widely used to assess ischemic stroke patients based on clinical characteristics alone. However, the correlation between the clinical presentation evaluated using OCSP and imaging findings is yet to be determined. Our study aimed to describe the baseline characteristics of the OCSP subtypes of patients admitted with ischemic stroke and evaluate the predictors of the relationship between clinical and neuroimaging findings. METHODS Patients with a confirmed diagnosis of ischemic stroke admitted to a comprehensive stroke center in Brazil between February 2015 and October 2017 were eligible for the study. All participants underwent computed tomography (CT) at admission and follow-up neuroimaging within seven days, per the institutional protocol. Trained staff classified patients according to the OCSP at hospital admission. The radiographic OCSP classification was retrospectively assessed based on the last follow-up neuroimaging by investigators unaware of the clinical classification. RESULTS The overall agreement rates ranged from 65.5% to 88.7%. Lower NIHSS scores, absent hyperdense MCA sign, higher ASPECTS, and absent brainstem symptoms were related to a higher risk of misclassification. Treatment with intravenous tPA was associated with reclassification in patients with total anterior circulation syndrome. For predicting radiographic posterior circulation involvement, vertigo (OR 2.9, 95% CI 1.7-5.1, p < 0.001) and brainstem symptoms (OR 35, 95% CI 20.5-60.2, p < 0.001) were directly associated with correct classification, but motor and higher cerebral function were not correlated. CONCLUSION The clinical OCSP classification presented good congruency rates with the neuroimaging findings. However, patients with lacunar syndromes are often misclassified when radiological criteria are considered.
Collapse
Affiliation(s)
- Joao Brainer Clares de Andrade
- Universidade Federal de Sao Paulo, Rua Napoleao de Barros, 715, Sao Paulo, SP, Brazil; Columbia University, Doris and Stanley Tananbaum Stroke Center, Neurological Institute of New York, 710 W 168th St., 6th Floor, NI 614, 10032 New York City, NY, USA; Centro Universitario Sao Camilo, Av Nazare, 1501, São Paulo, São Paulo, Brazil.
| | - Jay P Mohr
- Columbia University, Doris and Stanley Tananbaum Stroke Center, Neurological Institute of New York, 710 W 168th St., 6th Floor, NI 614, 10032 New York City, NY, USA.
| | | | | | | | | | | | - Gisele Sampaio Silva
- Universidade Federal de Sao Paulo, Rua Napoleao de Barros, 715, Sao Paulo, SP, Brazil
| |
Collapse
|
3
|
van der Ende NA, Kremers FC, van der Steen W, Venema E, Kappelhof M, Majoie CB, Postma AA, Boiten J, van den Wijngaard IR, van der Lugt A, Dippel DW, Roozenbeek B. Symptomatic Intracranial Hemorrhage After Endovascular Stroke Treatment: External Validation of Prediction Models. Stroke 2023; 54:476-487. [PMID: 36689584 PMCID: PMC9855739 DOI: 10.1161/strokeaha.122.040065] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/09/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Symptomatic intracranial hemorrhage (sICH) is a severe complication of reperfusion therapy for ischemic stroke. Multiple models have been developed to predict sICH or intracranial hemorrhage (ICH) after reperfusion therapy. We provide an overview of published models and validate their ability to predict sICH in patients treated with endovascular treatment in daily clinical practice. METHODS We conducted a systematic search to identify models either developed or validated to predict sICH or ICH after reperfusion therapy (intravenous thrombolysis and/or endovascular treatment) for ischemic stroke. Models were externally validated in the MR CLEAN Registry (n=3180; Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands). The primary outcome was sICH according to the Heidelberg Bleeding Classification. Model performance was evaluated with discrimination (c-statistic, ideally 1; a c-statistic below 0.7 is considered poor in discrimination) and calibration (slope, ideally 1, and intercept, ideally 0). RESULTS We included 39 studies describing 40 models. The most frequently used predictors were baseline National Institutes of Health Stroke Scale (NIHSS; n=35), age (n=22), and glucose level (n=22). In the MR CLEAN Registry, sICH occurred in 188/3180 (5.9%) patients. Discrimination ranged from 0.51 (SPAN-100 [Stroke Prognostication Using Age and National Institutes of Health Stroke Scale]) to 0.61 (SITS-SICH [Safe Implementation of Treatments in Stroke Symptomatic Intracerebral Hemorrhage] and STARTING-SICH [STARTING Symptomatic Intracerebral Hemorrhage]). Best calibrated models were IST-3 (intercept, -0.15 [95% CI, -0.01 to -0.31]; slope, 0.80 [95% CI, 0.50-1.09]), SITS-SICH (intercept, 0.15 [95% CI, -0.01 to 0.30]; slope, 0.62 [95% CI, 0.38-0.87]), and STARTING-SICH (intercept, -0.03 [95% CI, -0.19 to 0.12]; slope, 0.56 [95% CI, 0.35-0.76]). CONCLUSIONS The investigated models to predict sICH or ICH discriminate poorly between patients with a low and high risk of sICH after endovascular treatment in daily clinical practice and are, therefore, not clinically useful for this patient population.
Collapse
Affiliation(s)
- Nadinda A.M. van der Ende
- Departments of Neurology (N.A.M.v.d.E, F.C.C.K., W.v.d.S, E.V., D.W.J.D., B.R.), Erasmus MC University Medical Center, the Netherlands
- Radiology and Nuclear Medicine (N.A.M.v.d.Ee, W.v.d.S., B.R.), Erasmus MC University Medical Center, the Netherlands
| | - Femke C.C. Kremers
- Departments of Neurology (N.A.M.v.d.E, F.C.C.K., W.v.d.S, E.V., D.W.J.D., B.R.), Erasmus MC University Medical Center, the Netherlands
| | - Wouter van der Steen
- Departments of Neurology (N.A.M.v.d.E, F.C.C.K., W.v.d.S, E.V., D.W.J.D., B.R.), Erasmus MC University Medical Center, the Netherlands
- Radiology and Nuclear Medicine (N.A.M.v.d.Ee, W.v.d.S., B.R.), Erasmus MC University Medical Center, the Netherlands
| | - Esmee Venema
- Departments of Neurology (N.A.M.v.d.E, F.C.C.K., W.v.d.S, E.V., D.W.J.D., B.R.), Erasmus MC University Medical Center, the Netherlands
- Emergency Medicine (E.V.), Erasmus MC University Medical Center, the Netherlands
| | - Manon Kappelhof
- Department of Radiology and Nuclear Medicine (M.K.), Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Charles B.L.M. Majoie
- Departments of Neurology (N.A.M.v.d.E, F.C.C.K., W.v.d.S, E.V., D.W.J.D., B.R.), Erasmus MC University Medical Center, the Netherlands
- Radiology and Nuclear Medicine (N.A.M.v.d.Ee, W.v.d.S., B.R.), Erasmus MC University Medical Center, the Netherlands
- Emergency Medicine (E.V.), Erasmus MC University Medical Center, the Netherlands
- Department of Radiology and Nuclear Medicine (M.K.), Amsterdam UMC, University of Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, School for Mental Health and Sciences, Maastricht University Medical Center, the Netherlands (A.A.P.)
- Departments of Neurology (J.B., I.R.v.d.W.), Haaglanden Medical Center, the Netherlands
- Radiology and Nuclear Medicine (I.R.v.d.W.), Haaglanden Medical Center, the Netherlands
| | - Alida A. Postma
- Department of Radiology and Nuclear Medicine, School for Mental Health and Sciences, Maastricht University Medical Center, the Netherlands (A.A.P.)
| | - Jelis Boiten
- Departments of Neurology (J.B., I.R.v.d.W.), Haaglanden Medical Center, the Netherlands
| | - Ido R. van den Wijngaard
- Departments of Neurology (J.B., I.R.v.d.W.), Haaglanden Medical Center, the Netherlands
- Radiology and Nuclear Medicine (I.R.v.d.W.), Haaglanden Medical Center, the Netherlands
| | - Aad van der Lugt
- Departments of Neurology (N.A.M.v.d.E, F.C.C.K., W.v.d.S, E.V., D.W.J.D., B.R.), Erasmus MC University Medical Center, the Netherlands
- Radiology and Nuclear Medicine (N.A.M.v.d.Ee, W.v.d.S., B.R.), Erasmus MC University Medical Center, the Netherlands
- Emergency Medicine (E.V.), Erasmus MC University Medical Center, the Netherlands
- Department of Radiology and Nuclear Medicine (M.K.), Amsterdam UMC, University of Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, School for Mental Health and Sciences, Maastricht University Medical Center, the Netherlands (A.A.P.)
- Departments of Neurology (J.B., I.R.v.d.W.), Haaglanden Medical Center, the Netherlands
- Radiology and Nuclear Medicine (I.R.v.d.W.), Haaglanden Medical Center, the Netherlands
| | - Diederik W.J. Dippel
- Departments of Neurology (N.A.M.v.d.E, F.C.C.K., W.v.d.S, E.V., D.W.J.D., B.R.), Erasmus MC University Medical Center, the Netherlands
| | - Bob Roozenbeek
- Departments of Neurology (N.A.M.v.d.E, F.C.C.K., W.v.d.S, E.V., D.W.J.D., B.R.), Erasmus MC University Medical Center, the Netherlands
- Radiology and Nuclear Medicine (N.A.M.v.d.Ee, W.v.d.S., B.R.), Erasmus MC University Medical Center, the Netherlands
| |
Collapse
|
4
|
de Andrade JBC, Mohr JP, Timbó FB, Nepomuceno CR, Moreira JVDS, Timbó IDCG, Lima FO, Silva GS, Bamford J. Oxfordshire Community Stroke Project Classification: A proposed automated algorithm. Eur Stroke J 2021; 6:160-167. [PMID: 34414291 DOI: 10.1177/23969873211012136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 03/31/2021] [Indexed: 12/19/2022] Open
Abstract
Introduction The Oxfordshire Community Stroke Project (OCSP) proposed a clinical classification for Stroke patients. This classification has proved helpful to predict the risk of neurological complications. However, the OCSP was initially based on findings on the neurological assesment, which can pose difficulties for classifying patients. We aimed to describe the development and the validation step of a computer-based algorithm based on the OCSP classification. Materials and methods A flow-chart was created which was reviewed by five board-certified vascular neurologists from which a computer-based algorithm (COMPACT) was developed. Neurology residents from 12 centers were invited to participate in a randomized trial to assess the effect of using COMPACT. They answered a 20-item questionnaire for classifying the vignettes according to the OCSP classification. Each correct answer has been attributed to 1-point for calculating the final score. Results Six-two participants agreed to participate and answered the questionnaire. Thirty-two were randomly allocated to use our algorithm, and thirty were allocated to adopt a list of symptoms alone. The group who adopted our algorithm had a median score of correct answers of 16.5[14.5, 17]/20 versus 15[13, 16]/20 points, p = 0.014. The use of our algorithm was associated with the overall rate of correct scores (p = 0.03). Discussion Our algorithm seemed a useful tool for any postgraduate year Neurology resident. A computer-based algorithm may save time and improve the accuracy to classify these patients. Conclusion An easy-to-use computer-based algorithm improved the accuracy of the OCSP classification, with the possible benefit of further improvement of the prediction of neurological complications and prognostication.
Collapse
Affiliation(s)
- Joao Brainer Clares de Andrade
- Department of Neurology, Universidade Federal de Sao Paulo, Sao Paulo, Brazil.,Columbia University, Doris and Stanley Tananbaum Stroke Center, New York, NY, USA
| | - Jay P Mohr
- Columbia University, Doris and Stanley Tananbaum Stroke Center, New York, NY, USA
| | - Felipe Brito Timbó
- Department of Computational Science, Universidade Federal do Ceara, Fortaleza, Brazil
| | | | | | | | | | | | - John Bamford
- Department of Neurology, University of Leeds, Leeds, UK
| |
Collapse
|
5
|
Wu Q, Ge Y, Ma D, Pang X, Cao Y, Zhang X, Pan Y, Zhang T, Dou W. Analysis of Prognostic Risk Factors Determining Poor Functional Recovery After Comprehensive Rehabilitation Including Motor-Imagery Brain-Computer Interface Training in Stroke Patients: A Prospective Study. Front Neurol 2021; 12:661816. [PMID: 34177767 PMCID: PMC8222567 DOI: 10.3389/fneur.2021.661816] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 04/20/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: Upper limb (UL) motor function recovery, especially distal function, is one of the main goals of stroke rehabilitation as this function is important to perform activities of daily living (ADL). The efficacy of the motor-imagery brain-computer interface (MI-BCI) has been demonstrated in patients with stroke. Most patients with stroke receive comprehensive rehabilitation, including MI-BCI and routine training. However, most aspects of MI-BCI training for patients with subacute stroke are based on routine training. Risk factors for inadequate distal UL functional recovery in these patients remain unclear; therefore, it is more realistic to explore the prognostic factors of this comprehensive treatment based on clinical practice. The present study aims to investigate the independent risk factors that might lead to inadequate distal UL functional recovery in patients with stroke after comprehensive rehabilitation including MI-BCI (CRIMI-BCI). Methods: This prospective study recruited 82 patients with stroke who underwent CRIMI-BCI. Motor-imagery brain-computer interface training was performed for 60 min per day, 5 days per week for 4 weeks. The primary outcome was improvement of the wrist and hand dimensionality of Fugl-Meyer Assessment (δFMA-WH). According to the improvement score, the patients were classified into the efficient group (EG, δFMA-WH > 2) and the inefficient group (IG, δFMA-WH ≤ 2). Binary logistic regression was used to analyze clinical and demographic data, including aphasia, spasticity of the affected hand [assessed by Modified Ashworth Scale (MAS-H)], initial UL function, age, gender, time since stroke (TSS), lesion hemisphere, and lesion location. Results: Seventy-three patients completed the study. After training, all patients showed significant improvement in FMA-UL (Z = 7.381, p = 0.000**), FMA-SE (Z = 7.336, p = 0.000**), and FMA-WH (Z = 6.568, p = 0.000**). There were 35 patients (47.9%) in the IG group and 38 patients (52.1%) in the EG group. Multivariate analysis revealed that presence of aphasia [odds ratio (OR) 4.617, 95% confidence interval (CI) 1.435-14.860; p < 0.05], initial FMA-UL score ≤ 30 (OR 5.158, 95% CI 1.150-23.132; p < 0.05), and MAS-H ≥ level I+ (OR 3.810, 95% CI 1.231-11.790; p < 0.05) were the risk factors for inadequate distal UL functional recovery in patients with stroke after CRIMI-BCI. Conclusion: We concluded that CRIMI-BCI improved UL function in stroke patients with varying effectiveness. Inferior initial UL function, significant hand spasticity, and presence of aphasia were identified as independent risk factors for inadequate distal UL functional recovery in stroke patients after CRIMI-BCI.
Collapse
Affiliation(s)
- Qiong Wu
- School of Rehabilitation Medicine, China Rehabilitation Research Center, Capital Medical University, Beijing, China.,Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Yunxiang Ge
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China
| | - Di Ma
- Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Xue Pang
- Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Yingyu Cao
- School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing, China
| | - Xiaofei Zhang
- Department of Clinical Epidemiology and Biostatistics, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Yu Pan
- Department of Rehabilitation Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Tong Zhang
- School of Rehabilitation Medicine, China Rehabilitation Research Center, Capital Medical University, Beijing, China
| | - Weibei Dou
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China
| |
Collapse
|
6
|
Sung SF, Lin CY, Hu YH. EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques. IEEE J Biomed Health Inform 2020; 24:2922-2931. [DOI: 10.1109/jbhi.2020.2976931] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
7
|
Wang H, Pan Y, Meng X, Wang C, Liao X, Wang D, Zhao X, Liu L, Li H, Wang Y, Wang Y. Validation of the mSOAR and SOAR scores to predict early mortality in Chinese acute stroke patients. PLoS One 2017; 12:e0180444. [PMID: 28683108 PMCID: PMC5500336 DOI: 10.1371/journal.pone.0180444] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 06/15/2017] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND It is unclear in Chinese patients with acute stroke how the SOAR (stroke subtype, Oxfordshire Community Stroke Project classification, age, and prestrike modified Rankin) and mSOAR (modified-SOAR) scores performed in predicting discharge mortality and 3-month mortality. We aimed to validate the predictability of these scores in this cohort. METHODS Data from the China National Stroke Registry (CNSR) study was used to perform the mSOAR and SOAR scores for predicting the discharge and 3-month mortality in acute stroke patients. RESULTS A total of 11073 acute stroke patients were included in present study. The increased mSOAR and SOAR scores were closely related to higher death risk in acute stroke patients. For discharge mortality, the area under the receiver-operator curve (AUC) of the mSOAR and SOAR scores were 0.784 (95% CI 0.761-0.807) and 0.722 (95% CI: 0.698-0.746). For 3-month mortality, they were 0.787 (95% CI: 0.771-0.803) and 0.704 (95% CI: 0.687-0.721), respectively. The mSOAR and SOAR scores showed significant correlation between the predicted and observed probabilities of discharge mortality (mSOAR: r = 0.945, P = 0.001; SOAR: r = 0.994, P<0.001) and 3-month mortality (mSOAR: r = 0.984, P<0.001; SOAR: r = 0.999; P<0.001). CONCLUSIONS The mSOAR score predicted reliably the risk of death in Chinese acute stroke patients.
Collapse
Affiliation(s)
- Hui Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.,Monogenic Disease Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Chunjuan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Xiaoling Liao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - David Wang
- Illinois Neurological Institute Stroke Network, Sisters of the Third Order of St Francis Healthcare System, University of Illinois College of Medicine, Peoria, IL, United States of America
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.,Monogenic Disease Research Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
8
|
Gökcen E, Caltekin İ, Savrun A, Korkmaz H, Savrun ŞT, Yıldırım G. Alterations in optic nerve sheath diameter according to cerebrovascular disease sub-groups. Am J Emerg Med 2017; 35:1607-1611. [PMID: 28473274 DOI: 10.1016/j.ajem.2017.04.073] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 03/25/2017] [Accepted: 04/28/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND ONSD (optic nerve sheath diameter) is a method used for indirect measurement of the increased intracranial pressure. In previous studies, the relation between the increased intracranial pressure and ONSD was analyzed in the patients suffering from cerebrovascular diseases (CVD). In our study, the patients suffering from ischemic CVD were categorized into 4 subgroups according to Oxfordshire Community Stroke Project classification (OCSP); the relationship between each group and ONSD, and the influence on each eye were analyzed. METHODS The study included the patients over the age of 18 applying to the emergency department of Malatya State Hospital with the symptoms of stroke between the dates of 1/1/2015 and 1/9/2016. The patients diagnosed with stroke by means of clinical and neuroradiological imaging were examined in 4 subgroups according to Oxfordshire Community Stroke Project. The aim of the study is to predict the intracranial pressure (ICP) levels of the patients through ONSD measurement and CT images. RESULTS In the comparison of the right and left optic nerve sheath diameters of CVD group and control group, the obtained results were found to be statistically significant (p<0.001). When the CVD subgroups were compared with the control group in terms of right and left optic nerve sheath diameters, the highest right-left optic nerve sheath diameter was detected to be in TACI (Total Anterior Circulation Infarction) group (p<0.001). DISCUSSION/CONCLUSION In the early cases of CVD, mortality and morbidity can be decreased through the early diagnosis of the possible existence of ICP increase according to ONSD level.
Collapse
Affiliation(s)
- Emre Gökcen
- Emergency Department of Malatya State Hospital, Malatya, Turkey.
| | | | - Atakan Savrun
- Emergency Department of Dr. Nafiz Körez Sincan State Hospital, Sincan, Ankara, Turkey
| | - Hilal Korkmaz
- Physiology Department of Hacettepe University, Ankara, Turkey
| | - Şeyda Tuba Savrun
- Emergency Department of Ankara Atatürk Research and Training Hospital, Ankara, Turkey
| | - Gökhan Yıldırım
- Radiology Department of Malatya State Hospital, Malatya, Turkey
| |
Collapse
|
9
|
|
10
|
Hsieh CY, Lin HJ, Sung SF, Yang YHK, Lai ECC, Hsieh HC, Chen CH. Does Renal Dysfunction Modify the Effect of Intravenous Thrombolysis for Acute Ischemic Stroke within 4.5 Hours of Onset? A Multicenter Observational Study. J Stroke Cerebrovasc Dis 2015; 24:673-9. [DOI: 10.1016/j.jstrokecerebrovasdis.2014.11.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Accepted: 11/12/2014] [Indexed: 11/28/2022] Open
|