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Liu L, Yi X, Li J, Luo H, Yu M, Wang Z, Zhou J. The incidence of stroke and contribution of risk factors for stroke in high-risk stroke population in southwestern China. Clin Neurol Neurosurg 2024; 243:108391. [PMID: 38879899 DOI: 10.1016/j.clineuro.2024.108391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 04/18/2024] [Accepted: 06/11/2024] [Indexed: 06/18/2024]
Abstract
OBJECTIVE To estimate the incidence of stroke and determine the role that risk factors play in the high-risk stroke populace in southwest China. METHODS This research employed a prospective cohort design that focused on the community. Eight communities in southwest China were selected randomly for this study. The residents aged 40 years and older who volunteered to participate were surveyed through face-to-face interviews. Those with a history of stroke or at least three of the eight stroke-related risk factors were categorized as the high-risk stroke population. A total of 2698 high-risk individuals were included in the study after a 4.7-year follow-up period. The incidence of stroke and the association between risk variables and stroke occurrence were estimated. RESULTS During 4.7-year follow-up, the incidence of total stroke, ischemic stroke, and hemorrhagic stroke in high-risk stroke population were 5.0 %, 4.4 % and 0.9 % respectively. It should be noted that some participants experienced both cerebral infarction and cerebral hemorrhage during the follow-up period. The multivariate analytic model revealed that a personal history of stroke (OR=3.397, 95 % CI 2.365-4.878, p<.001) was substantially linked with an elevated risk of overall stroke. This correlation remained consistent for both ischemic and hemorrhagic stroke. CONCLUSIONS This study revealed a high prevalence and incidence of stroke among a high-risk group in southwestern China. Furthermore, it demonstrated that individuals with a personal history of stroke are at an elevated risk of future stroke, suggesting the need for additional precautions in this population.
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Affiliation(s)
- Lin Liu
- Department of Neurology, Deyang People's Hospital, Deyang, China.
| | - Xingyang Yi
- Department of Neurology, Deyang People's Hospital, Deyang, China
| | - Jie Li
- Department of Neurology, Deyang People's Hospital, Deyang, China
| | - Hua Luo
- Department of Neurology, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Ming Yu
- Department of Neurology, the Suining Central Hospital, Suining, China
| | - Zhihao Wang
- Department of Neurology, Deyang People's Hospital, Deyang, China
| | - Ju Zhou
- Department of Neurology, Deyang People's Hospital, Deyang, China
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2
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Zhang J, Li J, Ding Y. Diagnostic value of cervical vascular ultrasound in large arterial lesions of the neck in patients with transient ischemic attack. Int J Neurosci 2024:1-7. [PMID: 38708961 DOI: 10.1080/00207454.2024.2352041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 04/30/2024] [Indexed: 05/07/2024]
Abstract
OBJECTIVE To assess the diagnostic value of cervical vascular ultrasound in identifying large arterial lesions in patients with transient ischemic attack (TIA). METHODS The current study matched 84 TIA patients (disease group) with 66 healthy controls (control group). The baseline patient profiles and biochemical indices of the patients were analyzed. All patients received color Doppler ultrasonography, and outcome measures of its diagnostic efficiency included plaque status, plaque properties, and the degree of carotid stenosis. The patients in the disease group were assigned to group A (TIA of the internal carotid artery system, n = 40) and group B (TIA of the vertebrobasilar artery system, n = 44), and the plaque distribution of the patients was analyzed. RESULTS TIA patients had higher rates of diabetes, hypertension, hyperlipidemia, obesity, and smoking compared to controls (p < 0.05). Their serum TC, LDL-C, and FBG levels were significantly elevated, while HDL-C levels were decreased (p < 0.05). TIA patients had more plaques, especially soft plaques, than controls (p < 0.05). They also showed higher rates of moderate to severe carotid stenosis (p < 0.05). TIA involving the internal carotid artery system was associated with a higher risk of plaques at the entrance of the subclavian artery compared to TIA involving the vertebrobasilar artery system (p < 0.05). CONCLUSION The diagnostic value of cervical vascular ultrasound in patients with TIA is remarkable, and it provides a reliable monitoring approach as well as an essential screening modality for TIA. The rational use of this technique will markedly benefit the diagnosis, treatment, and prevention of TIA.
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Affiliation(s)
- Jianjun Zhang
- Functional Section Department, The Third People's Hospital of Hefei, Hefei, China
| | - Jiaju Li
- Functional Section Department, The Third People's Hospital of Hefei, Hefei, China
| | - Ying Ding
- Functional Section Department, The Third People's Hospital of Hefei, Hefei, China
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Colangelo G, Ribo M, Montiel E, Dominguez D, Olivé-Gadea M, Muchada M, Garcia-Tornel Á, Requena M, Pagola J, Juega J, Rodriguez-Luna D, Rodriguez-Villatoro N, Rizzo F, Taborda B, Molina CA, Rubiera M. PRERISK: A Personalized, Artificial Intelligence-Based and Statistically-Based Stroke Recurrence Predictor for Recurrent Stroke. Stroke 2024; 55:1200-1209. [PMID: 38545798 DOI: 10.1161/strokeaha.123.043691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 01/31/2024] [Indexed: 04/24/2024]
Abstract
BACKGROUND Predicting stroke recurrence for individual patients is difficult, but individualized prediction may improve stroke survivors' engagement in self-care. We developed PRERISK: a statistical and machine learning classifier to predict individual risk of stroke recurrence. METHODS We analyzed clinical and socioeconomic data from a prospectively collected public health care-based data set of 41 975 patients admitted with stroke diagnosis in 88 public health centers over 6 years (2014-2020) in Catalonia-Spain. A new stroke diagnosis at least 24 hours after the index event was considered as a recurrent stroke, which was considered as our outcome of interest. We trained several supervised machine learning models to provide individualized risk over time and compared them with a Cox regression model. Models were trained to predict early, late, and long-term recurrence risk, within 90, 91 to 365, and >365 days, respectively. C statistics and area under the receiver operating characteristic curve were used to assess the accuracy of the models. RESULTS Overall, 16.21% (5932 of 36 114) of patients had stroke recurrence during a median follow-up of 2.69 years. The most powerful predictors of stroke recurrence were time from previous stroke, Barthel Index, atrial fibrillation, dyslipidemia, age, diabetes, and sex, which were used to create a simplified model with similar performance, together with modifiable vascular risk factors (glycemia, body mass index, high blood pressure, cholesterol, tobacco dependence, and alcohol abuse). The areas under the receiver operating characteristic curve were 0.76 (95% CI, 0.74-0.77), 0.60 (95% CI, 0.58-0.61), and 0.71 (95% CI, 0.69-0.72) for early, late, and long-term recurrence risk, respectively. The areas under the receiver operating characteristic curve of the Cox risk class probability were 0.73 (95% CI, 0.72-0.75), 0.59 (95% CI, 0.57-0.61), and 0.67 (95% CI, 0.66-0.70); machine learning approaches (random forest and AdaBoost) showed statistically significant improvement (P<0.05) over the Cox model for the 3 recurrence time periods. Stroke recurrence curves can be simulated for each patient under different degrees of control of modifiable factors. CONCLUSIONS PRERISK is a novel approach that provides a personalized and fairly accurate risk prediction of stroke recurrence over time. The model has the potential to incorporate dynamic control of risk factors.
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Affiliation(s)
- Giorgio Colangelo
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Nora Health, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., E.M.)
| | - Marc Ribo
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Estefanía Montiel
- Nora Health, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., E.M.)
| | - Didier Dominguez
- Programa d'Analítica de Dades per a la Recerca i la Innovació en Salut, Agència de Qualitat i Avaluació Sanitàries de Catalunya, Departament de Salut, Generalitat de Catalunya, Carrer de Roc Boronat, Barcelona, Spain (D.D.)
| | - Marta Olivé-Gadea
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Marian Muchada
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Álvaro Garcia-Tornel
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Manuel Requena
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Jorge Pagola
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Jesús Juega
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - David Rodriguez-Luna
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Noelia Rodriguez-Villatoro
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Federica Rizzo
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Belén Taborda
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Carlos A Molina
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
| | - Marta Rubiera
- Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
- Hospital Universitari Vall d'Hebron, Stroke Unit, Neurology Department, Passeig de la Vall d'Hebron, Barcelona, Spain (M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera)
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4
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van Niftrik CHB, Sebök M, Germans MR, Halter M, Pokorny T, Stumpo V, Bellomo J, Piccirelli M, Pangalu A, Katan M, Wegener S, Tymianski M, Kulcsár Z, Luft AR, Fisher JA, Mikulis DJ, Regli L, Fierstra J. Increased Risk of Recurrent Stroke in Symptomatic Large Vessel Disease With Impaired BOLD Cerebrovascular Reactivity. Stroke 2024; 55:613-621. [PMID: 38328926 DOI: 10.1161/strokeaha.123.044259] [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: 06/19/2023] [Accepted: 12/11/2023] [Indexed: 02/09/2024]
Abstract
BACKGROUND Impaired cerebrovascular reactivity (CVR) has been correlated with recurrent ischemic stroke. However, for clinical purposes, most CVR techniques are rather complex, time-consuming, and lack validation for quantitative measurements. The recent adaptation of a standardized hypercapnic stimulus in combination with a blood-oxygenation-level-dependent (BOLD) magnetic resonance imaging signal as a surrogate for cerebral blood flow offers a potential universally comparable CVR assessment. We investigated the association between impaired BOLD-CVR and risk for recurrent ischemic events. METHODS We conducted a retrospective analysis of patients with symptomatic cerebrovascular large vessel disease who had undergone a prospective hypercapnic-challenged BOLD-CVR protocol at a single tertiary stroke referral center between June 2014 and April 2020. These patients were followed up for recurrent acute ischemic events for up to 3 years. BOLD-CVR (%BOLD signal change per mm Hg CO2) was calculated on a voxel-by-voxel basis. Impaired BOLD-CVR of the affected (ipsilateral to the vascular pathology) hemisphere was defined as an average BOLD-CVR, falling 2 SD below the mean BOLD-CVR of the right hemisphere in a healthy age-matched reference cohort (n=20). Using a multivariate Cox proportional hazards model, the association between impaired BOLD-CVR and ischemic stroke recurrence was assessed and Kaplan-Meier survival curves to visualize the acute ischemic stroke event rate. RESULTS Of 130 eligible patients, 28 experienced recurrent strokes (median, 85 days, interquartile range, 5-166 days). Risk factors associated with an increased recurrent stroke rate included impaired BOLD-CVR, a history of atrial fibrillation, and heart insufficiency. After adjusting for sex, age group, and atrial fibrillation, impaired BOLD-CVR exhibited a hazard ratio of 10.73 (95% CI, 4.14-27.81; P<0.001) for recurrent ischemic stroke. CONCLUSIONS Among patients with symptomatic cerebrovascular large vessel disease, those exhibiting impaired BOLD-CVR in the affected hemisphere had a 10.7-fold higher risk of recurrent ischemic stroke events compared with individuals with nonimpaired BOLD-CVR.
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Affiliation(s)
- Christiaan H B van Niftrik
- Department of Neurosurgery (C.H.B.v.N., M.S., M.R.G., M.H., V.S., J.B., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Martina Sebök
- Department of Neurosurgery (C.H.B.v.N., M.S., M.R.G., M.H., V.S., J.B., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Menno R Germans
- Department of Neurosurgery (C.H.B.v.N., M.S., M.R.G., M.H., V.S., J.B., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Matthias Halter
- Department of Neurosurgery (C.H.B.v.N., M.S., M.R.G., M.H., V.S., J.B., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Thomas Pokorny
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Department of Neurology (T.P., M.K., S.W., A.R.L.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Vittorio Stumpo
- Department of Neurosurgery (C.H.B.v.N., M.S., M.R.G., M.H., V.S., J.B., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Jacopo Bellomo
- Department of Neurosurgery (C.H.B.v.N., M.S., M.R.G., M.H., V.S., J.B., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Marco Piccirelli
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Department of Neurology (M.P., A.P., Z.K.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Athina Pangalu
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Department of Neurology (M.P., A.P., Z.K.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Mira Katan
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Department of Neurology (T.P., M.K., S.W., A.R.L.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Susanne Wegener
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Department of Neurology (T.P., M.K., S.W., A.R.L.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Michael Tymianski
- Division of Neurosurgery, Toronto Western Hospital (M.T., J.F.), University of Toronto, ON, Canada
| | - Zsolt Kulcsár
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Department of Neurology (M.P., A.P., Z.K.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Andreas R Luft
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Department of Neurology (T.P., M.K., S.W., A.R.L.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Joseph A Fisher
- Institute of Medical Science (J.A.F.), University of Toronto, ON, Canada
- Department of Anesthesia and Pain Management (J.A.F.), University Health Network, Toronto, ON, Canada
| | - David J Mikulis
- Joint Department of Medical Imaging and Functional Neuroimaging Laboratory (D.J.M.), University Health Network, Toronto, ON, Canada
| | - Luca Regli
- Department of Neurosurgery (C.H.B.v.N., M.S., M.R.G., M.H., V.S., J.B., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
| | - Jorn Fierstra
- Department of Neurosurgery (C.H.B.v.N., M.S., M.R.G., M.H., V.S., J.B., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Clinical Neuroscience Center (C.H.B.v.N., M.S., M.R.G., M.H., T.P., V.S., J.B., M.P., A.P., M.K., S.W., Z.K., A.R.L., L.R., J.F.), University Hospital of Zürich, University of Zürich, Switzerland
- Division of Neurosurgery, Toronto Western Hospital (M.T., J.F.), University of Toronto, ON, Canada
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5
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Axford D, Sohel F, Abedi V, Zhu Y, Zand R, Barkoudah E, Krupica T, Iheasirim K, Sharma UM, Dugani SB, Takahashi PY, Bhagra S, Murad MH, Saposnik G, Yousufuddin M. Development and internal validation of machine learning-based models and external validation of existing risk scores for outcome prediction in patients with ischaemic stroke. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2024; 5:109-122. [PMID: 38505491 PMCID: PMC10944684 DOI: 10.1093/ehjdh/ztad073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/14/2023] [Accepted: 10/30/2023] [Indexed: 03/21/2024]
Abstract
Aims We developed new machine learning (ML) models and externally validated existing statistical models [ischaemic stroke predictive risk score (iScore) and totalled health risks in vascular events (THRIVE) scores] for predicting the composite of recurrent stroke or all-cause mortality at 90 days and at 3 years after hospitalization for first acute ischaemic stroke (AIS). Methods and results In adults hospitalized with AIS from January 2005 to November 2016, with follow-up until November 2019, we developed three ML models [random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBOOST)] and externally validated the iScore and THRIVE scores for predicting the composite outcomes after AIS hospitalization, using data from 721 patients and 90 potential predictor variables. At 90 days and 3 years, 11 and 34% of patients, respectively, reached the composite outcome. For the 90-day prediction, the area under the receiver operating characteristic curve (AUC) was 0.779 for RF, 0.771 for SVM, 0.772 for XGBOOST, 0.720 for iScore, and 0.664 for THRIVE. For 3-year prediction, the AUC was 0.743 for RF, 0.777 for SVM, 0.773 for XGBOOST, 0.710 for iScore, and 0.675 for THRIVE. Conclusion The study provided three ML-based predictive models that achieved good discrimination and clinical usefulness in outcome prediction after AIS and broadened the application of the iScore and THRIVE scoring system for long-term outcome prediction. Our findings warrant comparative analyses of ML and existing statistical method-based risk prediction tools for outcome prediction after AIS in new data sets.
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Affiliation(s)
- Daniel Axford
- Department of Information Technology, Mathematics and Statistics, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, Australia
| | - Ferdous Sohel
- Department of Information Technology, Mathematics and Statistics, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, Australia
| | - Vida Abedi
- Department of Public Health Science, Penn State College of Medicine, Hershey, PA, USA
| | - Ye Zhu
- Robert D. and Patricia E. Kern Centre for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA
| | - Ramin Zand
- Neuroscience Institute, Geisinger Health System, 100 North Academy Ave, Danville, PA 17822, USA
- Neuroscience Institute, The Pennsylvania State University, Hershey, PA 17033, USA
| | - Ebrahim Barkoudah
- Internal Medicine/Hospital Medicine, Brigham and Women’s Hospital, Harvard University, Boston, MA, USA
| | - Troy Krupica
- Internal Medicine/Hospital Medicine, West Virginial University, Morgantown, WV, USA
| | - Kingsley Iheasirim
- Internal Medicine/Hospital Internal Medicine, Mayo Clinic Health System, Mankato, MN, USA
| | - Umesh M Sharma
- Hospital Internal Medicine, Mayo Clinic, Phoenix, AZ, USA
| | - Sagar B Dugani
- Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Sumit Bhagra
- Endocrinology, Diabetes and Metabolism, Mayo Clinic Health System, Austin, MN, USA
| | - Mohammad H Murad
- Division of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, MN, USA
| | - Gustavo Saposnik
- Stroke Outcomes and Decision Neuroscience Research Unit, Division of Neurology, Department of Medicine and Li Ka Shing Knowledge Institute, St.Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Mohammed Yousufuddin
- Hospital Internal Medicine, Mayo Clinic Health System, 1000 1st Drive NW, Austin, MN 55912, USA
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6
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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7
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Lun R, Cerasuolo JO, Carrier M, Gross PL, Kapral MK, Shamy M, Dowlatshahi D, Sutradhar R, Siegal DM. Previous Ischemic Stroke Significantly Alters Stroke Risk in Newly Diagnosed Cancer Patients. Stroke 2023; 54:3064-3073. [PMID: 37850360 DOI: 10.1161/strokeaha.123.042993] [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: 02/20/2023] [Accepted: 09/20/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Previous ischemic stroke (IS) is a risk factor for subsequent IS in the general population; it is unclear if this relationship remains true in patients with cancer. Our objective was to examine the association between previous IS and risk for future IS in individuals newly diagnosed with cancer. METHODS We conducted a retrospective population-based matched cohort study of newly diagnosed adult cancer patients (excluding nonmelanoma skin cancers and primary central nervous system tumors) in Ontario, Canada from 2010 to 2020; those with prior IS were matched (1:4) by age, sex, year of cancer diagnosis, cancer stage, and cancer site to those without a history of stroke. Cumulative incidence function curves were created to estimate the incidence of IS. Subdistribution adjusted hazard ratios (aHRs) and 95% CIs were calculated, where death was treated as a competing event. Multivariable analysis was adjusted for imbalanced baseline characteristics. RESULTS We examined 65 525 individuals with cancer, including 13 070 with a history of IS. The median follow-up duration was 743 days (interquartile range, 177-1729 days). The incidence of IS following cancer diagnosis was 261.3/10 000 person-years in the cohort with prior IS and 75.3/10 000 person-years in those without prior IS. Individuals with prior IS had an increased risk for IS after cancer diagnosis compared with those without a history (aHR, 2.68 [95% CI, 2.41-2.98]); they also had more prevalent cardiovascular risk factors. The highest risk for stroke compared with those without a history of IS was observed in the gynecologic cancer (aHR, 3.84 [95% CI, 2.15-6.85]) and lung cancer (aHR, 3.18 [95% CI, 2.52-4.02]) subgroups. The risk of IS was inversely correlated with lag time of previous stroke; those with IS 1 year before their cancer diagnosis had the highest risk (aHR, 3.68 [95% CI, 3.22-4.22]). CONCLUSIONS Among individuals with newly diagnosed cancer, those with IS history were almost 3× more likely to experience a stroke after cancer diagnosis, especially if the prediagnosis stroke occurred within 1 year preceding cancer diagnosis.
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Affiliation(s)
- Ronda Lun
- Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, ON, Canada (R.L., M.S., D.D.)
- Division of Vascular Neurology, Stanford Healthcare, Palo Alto CA (R.L.)
- University of Ottawa, School of Epidemiology, Ontario, Canada (R.L.)
| | - Joshua O Cerasuolo
- ICES McMaster, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada (J.O.C.)
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada (J.O.C.)
| | - Marc Carrier
- Division of Hematology, Department of Medicine, University of Ottawa, ON, Canada (M.C., D.M.S.)
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, ON, Canada (M.C., D.M.S.)
| | - Peter L Gross
- Division of Hematology and Thromboembolism, Department of Medicine, McMaster University, Hamilton, Ontario, Canada (P.L.G.)
| | | | - Michel Shamy
- Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, ON, Canada (R.L., M.S., D.D.)
| | - Dar Dowlatshahi
- Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, ON, Canada (R.L., M.S., D.D.)
| | | | - Deborah M Siegal
- Division of Hematology, Department of Medicine, University of Ottawa, ON, Canada (M.C., D.M.S.)
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, ON, Canada (M.C., D.M.S.)
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8
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Kijpaisalratana N, Ament Z, Patki A, Bhave VM, Jones AC, Garcia Guarniz AL, Couch CA, Cushman M, Long DL, Irvin MR, Kimberly WT. Acetylglutamine Differentially Associated with First-Time Versus Recurrent Stroke. Transl Stroke Res 2023:10.1007/s12975-023-01181-1. [PMID: 37531033 PMCID: PMC10834852 DOI: 10.1007/s12975-023-01181-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/10/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023]
Abstract
Approximately one-quarter of strokes occur in individuals with prior stroke. Despite the advancement in secondary stroke prevention, the long-term risk of recurrent stroke has remained unchanged. The objective of this study was to identify metabolite risk markers that are associated with recurrent stroke. We performed targeted metabolomic profiling of 162 metabolites by liquid chromatography-tandem mass spectrometry in baseline plasma in a stroke case-cohort study nested within the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, an observational cohort study of 30,239 individuals aged 45 and older enrolled in 2003-2007. Weighted Cox proportional hazard models were used to identify metabolites that had a differential effect on first-time versus recurrent stroke using an interaction term between metabolite and prior stroke at baseline (yes or no). The study included 1391 incident stroke cases identified during 7.1 ± 4.5 years of follow-up and 1050 participants in the random cohort sample. Among 162 metabolites, 13 candidates had a metabolite-by-prior stroke interaction at a p-value <0.05, with one metabolite, acetylglutamine, surpassing the Bonferroni adjusted p-value threshold (p for interaction = 5.78 × 10-5). In an adjusted model that included traditional stroke risk factors, acetylglutamine was associated with recurrent stroke (HR = 2.27 per SD increment, 95% CI = 1.60-3.20, p = 3.52 × 10-6) but not with first-time stroke (HR = 0.96 per SD increment, 95% CI = 0.87-1.06, p = 0.44). Acetylglutamine was associated with recurrent stroke but not first-time stroke, independent of traditional stroke risk factors. Future studies are warranted to elucidate the pathogenesis of acetylglutamine and recurrent stroke risk.
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Affiliation(s)
- Naruchorn Kijpaisalratana
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Zsuzsanna Ament
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Amit Patki
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Alana C Jones
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Catharine A Couch
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mary Cushman
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA
| | - D Leann Long
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - M Ryan Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - W Taylor Kimberly
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Harvard Medical School, Boston, MA, USA.
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9
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Jud S, Klövekorn R, van Niftrik CHB, Herzog L, Sebök M, Schweizer J, Luft AR, Fierstra J, Wegener S. High posterior cerebral artery flow predicts ischemia recurrence in patients with internal carotid artery occlusion. Front Neurol 2023; 14:1193640. [PMID: 37545725 PMCID: PMC10397388 DOI: 10.3389/fneur.2023.1193640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 06/28/2023] [Indexed: 08/08/2023] Open
Abstract
Recurrent stroke is a dreaded complication of symptomatic internal carotid artery occlusion (ICAO). Transcranial Duplex (TCD)-derived increased flow velocity in the ipsilateral posterior cerebral artery (PCA)-P2 segment indicates activated leptomeningeal collateral recruitment and hemodynamic impairment. Leptomeningeal collaterals are pial vascular connections between the anterior and posterior vascular territories. These secondary collateral routes are activated when primary collaterals via the Circle of Willis are insufficient. Our goal was to test the TCD parameter PCA-P2 flow for prediction of ipsilateral ischemia recurrence. We retrospectively analyzed clinical and ultrasound parameters in patients with ICAO. Together with clinical variables, we tested systolic PCA-P2 flow velocity as predictor of a recurrent ischemic event using logistic regression models. Of 111 patients, 13 showed a recurrent ischemic event within the same vascular territory. Increased flow in the ipsilateral PCA-P2 on transcranial ultrasound (median and interquartile range [IQR]: 60 cm/s [IQR 26] vs. 86 cm/s [IQR 41], p = <0.001), as well as previous transient ischemic attack (TIA) and low NIHSS were associated with ischemia recurrence. Combined into one model, accuracy of these parameters to predict recurrent ischemia was 89.2%. Our data suggest that in patients with symptomatic ICAO, flow increases in the ipsilateral PCA-P2 suggest intensified compensatory efforts when other collaterals are insufficient. Together with the clinical variables, this non-invasive and easily assessable duplex parameter detects ICAO patients at particular risk of recurrent ischemia.
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Affiliation(s)
- Simon Jud
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
| | - Robert Klövekorn
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
| | - Christiaan Hendrik Bas van Niftrik
- Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
| | - Lisa Herzog
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute of Epidemiology, Biostatistics and Prevention, University of Zurich, Zurich, Switzerland
| | - Martina Sebök
- Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
| | - Juliane Schweizer
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Stadtspital Waid and Triemli, Zurich, Switzerland
| | - Andreas R. Luft
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- cereneo Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Jorn Fierstra
- Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
| | - Susanne Wegener
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University Hospital Zurich, Zurich, Switzerland
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10
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Liu J, Wu Y, Jia W, Han M, Chen Y, Li J, Wu B, Yin S, Zhang X, Chen J, Yu P, Luo H, Tu J, Zhou F, Cheng X, Yi Y. Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics. Front Neurosci 2023; 17:1110579. [PMID: 37214402 PMCID: PMC10192708 DOI: 10.3389/fnins.2023.1110579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/06/2023] [Indexed: 05/24/2023] Open
Abstract
Purpose This study aimed to investigate the value of a machine learning-based magnetic resonance imaging (MRI) radiomics model in predicting the risk of recurrence within 1 year following an acute ischemic stroke (AIS). Methods The MRI and clinical data of 612 patients diagnosed with AIS at the Second Affiliated Hospital of Nanchang University from March 1, 2019, to March 5, 2021, were obtained. The patients were divided into recurrence and non-recurrence groups according to whether they had a recurrent stroke within 1 year after discharge. Randomized splitting was used to divide the data into training and validation sets using a ratio of 7:3. Two radiologists used the 3D-slicer software to label the lesions on brain diffusion-weighted (DWI) MRI sequences. Radiomics features were extracted from the annotated images using the pyradiomics software package, and the features were filtered using the Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. Four machine learning algorithms, logistic regression (LR), Support Vector Classification (SVC), LightGBM, and Random forest (RF), were used to construct a recurrence prediction model. For each algorithm, three models were constructed based on the MRI radiomics features, clinical features, and combined MRI radiomics and clinical features. The sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve (AUC) were used to compare the predictive efficacy of the models. Results Twenty features were selected from 1,037 radiomics features extracted from DWI images. The LightGBM model based on data with three different features achieved the best prediction accuracy from all 4 models in the validation set. The LightGBM model based solely on radiomics features achieved a sensitivity, specificity, and AUC of 0.65, 0.671, and 0.647, respectively, and the model based on clinical data achieved a sensitivity, specificity, and AUC of 0.7, 0.799, 0.735, respectively. The sensitivity, specificity, and AUC of the LightGBM model base on both radiomics and clinical features achieved the best performance with a sensitivity, specificity, and AUC of 0.85, 0.805, 0.789, respectively. Conclusion The ischemic stroke recurrence prediction model based on LightGBM achieved the best prediction of recurrence within 1 year following an AIS. The combination of MRI radiomics features and clinical data improved the prediction performance of the model.
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Affiliation(s)
- Jianmo Liu
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yifan Wu
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Weijie Jia
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Mengqi Han
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Yongsen Chen
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Jingyi Li
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Bin Wu
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Shujuan Yin
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Xiaolin Zhang
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Jibiao Chen
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Pengfei Yu
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Haowen Luo
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jianglong Tu
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fan Zhou
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xuexin Cheng
- Biological Resource Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yingping Yi
- Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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11
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Lucci C, Rissanen I, de Jong PA, Kappelle LJ, Hendrikse J, Geerlings MI. Ischemic stroke recurrence and mortality in different imaging phenotypes of ischemic cerebrovascular disease: The SMART-MR Study. Eur Stroke J 2023; 8:522-531. [DOI: 10.1177/23969873231162122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023] Open
Abstract
Background: Diagnosis of cerebrovascular disease is based on both clinical and radiological findings, however, they do not always correlate. Aims: To investigate ischemic stroke recurrence and mortality in patients with different imaging phenotypes of ischemic cerebrovascular disease. Methods: Within the SMART-MR study, a prospective patient cohort with arterial disease, cerebrovascular diseases of participants at baseline were classified as no cerebrovascular disease (reference group, n = 828), symptomatic cerebrovascular disease ( n = 204), covert vascular lesions ( n = 156), or imaging negative ischemia ( n = 90) based upon clinical and MRI findings. Ischemic strokes and deaths were collected at 6 month-intervals up to 17 years of follow-up. With Cox regression, relationships between phenotype and ischemic stroke recurrence, cardiovascular mortality, and non-vascular mortality were studied adjusted for age, sex, and cardiovascular risk factors. Results: Compared to reference group risk for recurrent ischemic stroke was increased not only in the symptomatic cerebrovascular disease (HR 3.9, 95% CI 2.3–6.6), but also in the covert vascular lesion (HR 2.5, 95% CI 1.3–4.8) and the imaging negative ischemia groups (HR 2.4, 95% CI 1.1–5.5). Risk for cardiovascular mortality was increased in the symptomatic cerebrovascular disease (HR 2.2, 95% CI 1.5–3.2) and covert vascular lesions groups (HR 2.3, 95% CI 1.5–3.4), while the risk was less strong but also increased in the imaging negative ischemia group (HR 1.7, 95% CI 0.9–3.0). Conclusions: People with all imaging phenotypes of cerebrovascular disease have increased risk of recurrent ischemic stroke and mortality compared to other arterial diseases. Strict preventive measures should be performed even when imaging findings or clinical symptoms are absent. Data access statement: For use of anonymized data, a reasonable request has to be made in writing to the UCC-SMART study group and the third party has to sign a confidentiality agreement.
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Affiliation(s)
- Carlo Lucci
- Department of Radiology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Ina Rissanen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Pim A de Jong
- Department of Radiology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - L Jaap Kappelle
- Department of Neurology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Mirjam I Geerlings
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
- Department of General Practice, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Aging & Later Life, and Personalized Medicine, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, The Netherlands
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12
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Chiangkhong A, Suwanwong C, Wongrostrai Y. Lifestyle, clinical, and occupational risk factors of recurrent stroke among the working-age group: A systematic review and meta-analysis. Heliyon 2023; 9:e13949. [PMID: 36915512 PMCID: PMC10006477 DOI: 10.1016/j.heliyon.2023.e13949] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 02/15/2023] [Accepted: 02/15/2023] [Indexed: 02/24/2023] Open
Abstract
Background Stroke recurrence is increasing in the working-age population. This study aimed to summarize and evaluate the risk factors for recurrent stroke among the working-age population. Methods Relevant studies were extracted from several databases following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Fixed- or random-effects estimates of the pooled odds ratio (OR) and 95% confidence interval (CI) of risk factors for recurrent stroke were generated based on heterogeneity. Subgroup and publication bias analyses were also performed. Results Seventeen studies were included in the meta-analysis. Pooled effects results revealed that the risk of recurrent stroke in the working-age group was as follows: Diabetes (OR = 1.85, 95% CI: 1.47, 2.32), hypertension (OR = 1.27, 95% CI: 1.12, 1.44), smoking (OR = 1.52, 95% CI: 1.27, 1.81), history of cardiac disease (OR = 2.86, 95% CI: 2.22, 3.67), history of stroke (OR = 2.45, 95% CI: 1.81, 3.31), and National Institutes of Health stroke severity score (OR = 1.09, 95% CI: 1.03, 1.15). Conclusion These findings suggest that several factors, such as diabetes, hypertension, smoking, history of cardiac disease and stroke, and severity of a stroke, are potential risk factors for recurrent stroke in the working-age group. Therefore, strategies to reduce those risk factors should be adopted and attention paid to prevent recurrent stroke among working-age populations.
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Affiliation(s)
- Araya Chiangkhong
- Kuakarun Faculty of Nursing, Navamindradhiraj University, Bangkok, Thailand
| | - Charin Suwanwong
- Behavioral Science Research Institute, Srinakharinwirot University, Bangkok, Thailand
| | - Yupha Wongrostrai
- Kuakarun Faculty of Nursing, Navamindradhiraj University, Bangkok, Thailand
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13
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Go AS, Al-Khatib SM, Desvigne-Nickens P, Bansal N, Bushnell CD, Fang MC, Freeman JV, Gage BF, Hanke T, Hylek EM, Lopes RD, Noseworthy PA, Reddy VY, Singer DE, Thomas KL, Hills MT, Turakhia MP, Zieman SJ, Cooper LS, Benjamin EJ. Research Opportunities in Stroke Prevention for Atrial Fibrillation: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop. Stroke 2023; 54:e75-e85. [PMID: 36848427 PMCID: PMC9995163 DOI: 10.1161/strokeaha.121.038273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 01/10/2023] [Indexed: 03/01/2023]
Abstract
Atrial fibrillation (AF) is one of the strongest risk factors for ischemic stroke, which is a leading cause of disability and death. Given the aging population, increasing prevalence of AF risk factors, and improved survival in those with cardiovascular disease, the number of individuals affected by AF will continue increasing over time. While multiple proven stroke prevention therapies exist, important questions remain about the optimal approach to stroke prevention at the population and individual patient levels. Our report summarizes the National Heart, Lung, and Blood Institute virtual workshop focused on identifying key research opportunities related to stroke prevention in AF. The workshop reviewed major knowledge gaps and identified targeted research opportunities to advance stroke prevention in AF in the following areas: (1) improving risk stratification tools for stroke and intracranial hemorrhage; (2) addressing challenges with oral anticoagulants; and (3) delineating the optimal roles of percutaneous left atrial appendage occlusion and surgical left atrial appendage closure/excision. This report aims to promote innovative, impactful research that will lead to more personalized, effective use of stroke prevention strategies in people with AF.
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Affiliation(s)
- Alan S. Go
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
- Departments of Epidemiology, Biostatistics and Medicine, University of California, San Francisco, San Francisco, CA
| | - Sana M. Al-Khatib
- Division of Cardiology and Duke Clinical Research Institute, Duke University, Durham, NC
| | - Patrice Desvigne-Nickens
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Nisha Bansal
- Division of Nephrology, University of Washington, Seattle, WA
| | | | - Margaret C. Fang
- Division of Hospital Medicine, University of California, San Francisco, San Francisco, CA
| | - James V. Freeman
- Department of Medicine, Yale University, New Haven, CT
- Center for Outcomes Research and Evaluation, Yale New Haven Health Services Corporation, New Haven, CT
| | - Brian F. Gage
- Department of Medicine, Washington University, St. Louis, MO
| | - Thorsten Hanke
- Department of Cardiac Surgery, Asklepios Klinikum Harburg-Hamburg, Germany
| | | | - Renato D. Lopes
- Division of Cardiology and Duke Clinical Research Institute, Duke University, Durham, NC
| | | | - Vivek Y. Reddy
- Department of Medicine, Icahn School of Medicine, New York, NY
| | - Daniel E. Singer
- Division of General Internal Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston, MA
| | - Kevin L. Thomas
- Division of Cardiology and Duke Clinical Research Institute, Duke University, Durham, NC
| | | | - Mintu P. Turakhia
- Veterans Affairs Palo Alto Health Care System, Palo Alto CA
- Center for Digital Health, Stanford University, Stanford, CA
| | - Susan J. Zieman
- Division of Geriatrics and Clinical Gerontology, National Institute on Aging, National Institutes of Health, Bethesda, MD
| | - Lawton S. Cooper
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Emelia J. Benjamin
- Cardiovascular Medicine, Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
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14
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Kauw F, Velthuis BK, Takx RAP, Guglielmo M, Cramer MJ, van Ommen F, Bos A, Bennink E, Kappelle LJ, de Jong HWAM, Dankbaar JW. Detection of Cardioembolic Sources With Nongated Cardiac Computed Tomography Angiography in Acute Stroke: Results From the ENCLOSE Study. Stroke 2023; 54:821-830. [PMID: 36779342 PMCID: PMC9951793 DOI: 10.1161/strokeaha.122.041018] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
BACKGROUND Identifying cardioembolic sources in patients with acute ischemic stroke is important for the choice of secondary prevention strategies. We prospectively investigated the yield of admission (spectral) nongated cardiac computed tomography angiography (CTA) to detect cardioembolic sources in stroke. METHODS Participants of the ENCLOSE study (Improved Prediction of Recurrent Stroke and Detection of Small Volume Stroke) with transient ischemic attack or acute ischemic stroke with assessable nongated head-to-heart CTA at the University Medical Center Utrecht were included between June 2017 and March 2022. The presence of cardiac thrombus on cardiac CTA was based on a Likert scale and dichotomized into certainly or probably absent versus possibly, probably, or certainly present. The diagnostic certainty of cardiac thrombus was evaluated again on spectral computed tomography reconstructions. The likelihood of a cardioembolic source was determined post hoc by an expert panel in patients with cardiac thrombus on CTA. Parametric and nonparametric tests were used to compare the outcome groups. RESULTS Forty four (12%) of 370 included patients had a cardiac thrombus on admission CTA: 35 (9%) in the left atrial appendage and 14 (4%) in the left ventricle. Patients with cardiac thrombus had more severe strokes (median National Institutes of Health Stroke Scale score, 10 versus 4; P=0.006), had higher clot burden (median clot burden score, 9 versus 10; P=0.004), and underwent endovascular treatment more often (43% versus 20%; P<0.001) than patients without cardiac thrombus. Left atrial appendage thrombus was present in 28% and 6% of the patients with and without atrial fibrillation, respectively (P<0.001). The diagnostic certainty for left atrial appendage thrombus was higher for spectral iodine maps compared with the conventional CTA (P<0.001). The presence of cardiac thrombus on CTA increased the likelihood of a cardioembolic source according to the expert panel (P<0.001). CONCLUSIONS Extending the stroke CTA to cover the heart increases the chance of detecting cardiac thrombi and helps to identify cardioembolic sources in the acute stage of ischemic stroke with more certainty. Spectral iodine maps provide additional value for detecting left atrial appendage thrombus. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT04019483.
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Affiliation(s)
- Frans Kauw
- Department of Radiology (F.K., B.K.V., R.A.P.T., F.v.O., A.B., E.B., H.W.A.M.d.J., J.W.D.), University Medical Center Utrecht, Utrecht University, the Netherlands.,Brain Center, Department of Neurology and Neurosurgery (F.K., L.J.K.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Birgitta K Velthuis
- Department of Radiology (F.K., B.K.V., R.A.P.T., F.v.O., A.B., E.B., H.W.A.M.d.J., J.W.D.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Richard A P Takx
- Department of Radiology (F.K., B.K.V., R.A.P.T., F.v.O., A.B., E.B., H.W.A.M.d.J., J.W.D.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Marco Guglielmo
- Department of Cardiology (M.G., M.J.C.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Maarten J Cramer
- Department of Cardiology (M.G., M.J.C.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Fasco van Ommen
- Department of Radiology (F.K., B.K.V., R.A.P.T., F.v.O., A.B., E.B., H.W.A.M.d.J., J.W.D.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Anneloes Bos
- Department of Radiology (F.K., B.K.V., R.A.P.T., F.v.O., A.B., E.B., H.W.A.M.d.J., J.W.D.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Edwin Bennink
- Department of Radiology (F.K., B.K.V., R.A.P.T., F.v.O., A.B., E.B., H.W.A.M.d.J., J.W.D.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - L Jaap Kappelle
- Brain Center, Department of Neurology and Neurosurgery (F.K., L.J.K.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Hugo W A M de Jong
- Department of Radiology (F.K., B.K.V., R.A.P.T., F.v.O., A.B., E.B., H.W.A.M.d.J., J.W.D.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Jan W Dankbaar
- Department of Radiology (F.K., B.K.V., R.A.P.T., F.v.O., A.B., E.B., H.W.A.M.d.J., J.W.D.), University Medical Center Utrecht, Utrecht University, the Netherlands
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15
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Phillips CM, Stamatovic SM, Keep RF, Andjelkovic AV. Epigenetics and stroke: role of DNA methylation and effect of aging on blood-brain barrier recovery. Fluids Barriers CNS 2023; 20:14. [PMID: 36855111 PMCID: PMC9972738 DOI: 10.1186/s12987-023-00414-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 02/10/2023] [Indexed: 03/02/2023] Open
Abstract
Incomplete recovery of blood-brain barrier (BBB) function contributes to stroke outcomes. How the BBB recovers after stroke remains largely unknown. Emerging evidence suggests that epigenetic factors play a significant role in regulating post-stroke BBB recovery. This study aimed to evaluate the epigenetic and transcriptional profile of cerebral microvessels after thromboembolic (TE) stroke to define potential causes of limited BBB recovery. RNA-sequencing and reduced representation bisulfite sequencing (RRBS) analyses were performed using microvessels isolated from young (6 months) and old (18 months) mice seven days poststroke compared to age-matched sham controls. DNA methylation profiling of poststroke brain microvessels revealed 11,287 differentially methylated regions (DMR) in old and 9818 DMR in young mice, corresponding to annotated genes. These DMR were enriched in genes encoding cell structural proteins (e.g., cell junction, and cell polarity, actin cytoskeleton, extracellular matrix), transporters and channels (e.g., potassium transmembrane transporter, organic anion and inorganic cation transporters, calcium ion transport), and proteins involved in endothelial cell processes (e.g., angiogenesis/vasculogenesis, cell signaling and transcription regulation). Integrated analysis of methylation and RNA sequencing identified changes in cell junctions (occludin), actin remodeling (ezrin) as well as signaling pathways like Rho GTPase (RhoA and Cdc42ep4). Aging as a hub of aberrant methylation affected BBB recovery processes by profound alterations (hypermethylation and repression) in structural protein expression (e.g., claudin-5) as well as activation of a set of genes involved in endothelial to mesenchymal transformation (e.g., Sox9, Snai1), repression of angiogenesis and epigenetic regulation. These findings revealed that DNA methylation plays an important role in regulating BBB repair after stroke, through regulating processes associated with BBB restoration and prevalently with processes enhancing BBB injury.
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Affiliation(s)
- Chelsea M Phillips
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, USA
| | - Svetlana M Stamatovic
- Department of Pathology, Medical School, University of Michigan, 7520A MSRB I, 1150 W Medical Center Dr, Ann Arbor, MI, 48109-5602, USA
| | - Richard F Keep
- Department of Neurosurgery, Medical School, University of Michigan, 7520A MSRB I, 1150 W Medical Center Dr, Ann Arbor, MI, 48109-5602, USA.,Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Anuska V Andjelkovic
- Department of Pathology, Medical School, University of Michigan, 7520A MSRB I, 1150 W Medical Center Dr, Ann Arbor, MI, 48109-5602, USA. .,Department of Neurosurgery, Medical School, University of Michigan, 7520A MSRB I, 1150 W Medical Center Dr, Ann Arbor, MI, 48109-5602, USA.
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16
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1076] [Impact Index Per Article: 1076.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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17
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Phillips C, Stamatovic S, Keep R, Andjelkovic A. Epigenetics and stroke: role of DNA methylation and effect of aging on blood-brain barrier recovery. RESEARCH SQUARE 2023:rs.3.rs-2444060. [PMID: 36711725 PMCID: PMC9882686 DOI: 10.21203/rs.3.rs-2444060/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Incomplete recovery of blood-brain barrier (BBB) function contributes to stroke outcomes. How the BBB recovers after stroke remains largely unknown. Emerging evidence suggests that epigenetic factors play a significant role in regulating post-stroke BBB recovery. This study aimed to evaluate the epigenetic and transcriptional profile of cerebral microvessels after thromboembolic (TE) stroke to define potential causes of limited BBB recovery. RNA-sequencing and reduced representation bisulfite sequencing (RRBS) analyses were performed using microvessels isolated from young (6 months) and old (18 months) mice seven days poststroke compared to age-matched sham controls. DNA methylation profiling of poststroke brain microvessels revealed 11287 differentially methylated regions (DMR) in old and 9818 DMR in young mice, corresponding to annotated genes. These DMR were enriched in genes encoding cell structural proteins (e.g., cell junction, and cell polarity, actin cytoskeleton, extracellular matrix), transporters and channels (e.g., potassium transmembrane transporter, organic anion and inorganic cation transporters, calcium ion transport), and proteins involved in endothelial cell processes (e.g., angiogenesis/vasculogenesis, cell signaling and transcription regulation). Integrated analysis of methylation and RNA sequencing identified changes in cell junctions (occludin), actin remodeling (ezrin) as well as signaling pathways like Rho GTPase (RhoA and Cdc42ep4). Aging as a hub of aberrant methylation affected BBB recovery processes by profound alterations (hypermethylation and repression) in structural protein expression (e.g., claudin-5) as well as activation of a set of genes involved in endothelial to mesenchymal transformation (e.g., Sox17 , Snail1 ), repression of angiogenesis and epigenetic regulation. These findings revealed that DNA methylation plays an important role in regulating BBB repair after stroke, through regulating processes associated with BBB restoration and prevalently with processes enhancing BBB injury.
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18
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Yang Y, Huang X, Wang Y, Leng L, Xu J, Feng L, Jiang S, Wang J, Yang Y, Pan G, Jiang B, Wang Y, Chen L. The impact of triglyceride-glucose index on ischemic stroke: a systematic review and meta-analysis. Cardiovasc Diabetol 2023; 22:2. [PMID: 36609319 PMCID: PMC9825038 DOI: 10.1186/s12933-022-01732-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/28/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Strokes significantly impair quality of life and incur high economic and societal burdens. The triglyceride and glucose (TyG) index is a biochemical marker of insulin resistance (IR) and may have important value in the prediction of strokes, especially ischemic stroke (IS). Our study aims to investigate the relationship between TyG index and IS and ascertain whether TyG index is independently associated with IS adverse outcomes. METHODS The Cochrane, Embase, Medline, Web of Science, PubMed, and other relevant English databases and related websites were systematically searched for articles on ''TyG index'' and "stroke" published from inception to April 4, 2022. We reviewed the available literature on the TyG index and its relation to predicting IS occurrence in the general population and adverse clinical outcomes. We calculated odds ratios (OR) of TyG index and its predictability of IS occurrence and adverse outcomes. Statistical analyses were performed using the Meta Package in STATA, version 12.0. RESULTS A total of 18 studies and 592,635 patients were included in our analysis. The pooled effect values of all stroke types showed that higher TyG index was associated with increased the risk of IS in the general population (OR 1.37; 95% CI 1.22-1.54) in a total sample of 554,334 cases with a high level of heterogeneity (P = 0.000, I2 = 74.10%). In addition, compared to IS patients with a lower TyG index, IS patients with a higher TyG index was associated with higher risk of stroke recurrence (OR: 1.50; 95% CI 1.19-1.89) and increased risk of mortality (OR 1.40 95% CI 1.14-1.71). No correlation was found in the effect value combinations of poor functional outcomes (OR 1.12; 95% CI 0.88-1.43) and neurological worsening (OR: 1.76; 95% CI 0.79-3.95) in a total sample of 38,301 cases with a high level of heterogeneity (P = 0.000; I2 = 77.20%). CONCLUSIONS TyG index has potential value in optimizing risk stratification for IS in the general population. Furthermore, there is a significant association between high TyG index and many adverse outcomes of stroke, especially stroke recurrence and high mortality. Future studies should focus on multi-center and multi-regional designs in order to further explore the relationship between IS and TyG index.
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Affiliation(s)
- Ying Yang
- grid.415440.0Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Neurology, Chengdu Fifth People’s Hospital, (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China ,grid.411587.e0000 0001 0381 4112School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Xiangting Huang
- grid.440809.10000 0001 0317 5955Department of Medicine, Jinggangshan University, Ji’an, Jiangxi China ,grid.13291.380000 0001 0807 1581The Centre of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yuge Wang
- grid.440809.10000 0001 0317 5955Department of Medicine, Jinggangshan University, Ji’an, Jiangxi China
| | - Lin Leng
- grid.459428.6Department of Nephrology, Fifth People’s Hospital of Chengdu, Chengdu, China
| | - Jiapei Xu
- grid.415440.0Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Neurology, Chengdu Fifth People’s Hospital, (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Lei Feng
- grid.415440.0Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Neurology, Chengdu Fifth People’s Hospital, (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Shixie Jiang
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA
| | - Jiang Wang
- grid.440809.10000 0001 0317 5955Department of Medicine, Jinggangshan University, Ji’an, Jiangxi China
| | - Yanrong Yang
- grid.415440.0Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Neurology, Chengdu Fifth People’s Hospital, (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Gaofeng Pan
- grid.415440.0Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Neurology, Chengdu Fifth People’s Hospital, (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Bing Jiang
- grid.415440.0Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Neurology, Chengdu Fifth People’s Hospital, (The Second Clinical Medical College, Affiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China
| | - Yan Wang
- Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Neurology, Chengdu Fifth People's Hospital, (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
| | - Lan Chen
- Department of Neurology, Affiliated Hospital of Jinggangshan University, JingGangshan University, Ji'an, Jiangxi province, 343000, China, .
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Zhang S, Xiong SH, Guan YG, Zhao XX, Qin YW, Guo ZF, Bai Y. An updated meta-analysis of device related thrombus following left atrial appendage closure in patients with atrial fibrillation. Front Cardiovasc Med 2022; 9:1088782. [PMID: 36620640 PMCID: PMC9816128 DOI: 10.3389/fcvm.2022.1088782] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
Aims Device related thrombus (DRT) is a known complication of left atrial appendage closure (LAAC). However, the relation between DRT and elevated risk of ischemic events remains controversial. This study is sought to reassessed the incidence of DRT following LAAC and the relation between DRT and elevated risk of ischemic stroke and systemic embolism (SE) with latest clinical trials included. Methods The PubMed, Embase, and Cochrane Library databases were systematically searched from their inception until April 2022 for studies that reported the incidence of DRT and compared the incidence of both stroke and SE between DRT patients and non-DRT patients. Results In 59 eligible studies, the incidence of DRT was 366/12,845 (2.8%, ranging from 0 to 11%, I 2 = 64%). The incidence of DRT was not statistically different between single-seal device (SS) and dual-seal device (DS) in subgroup analysis [171/6,190 (2.8%) vs. 78/3,023 (3.6%); p = 0.93]. The pooled incidence of stroke (26 studies, 7,827 patients) in patients with and without DRT was 11.5% in DRT patients and 2.9% among non-DRT patients (OR: 5.08; 95% CI = 3.47-7.44). In the sensitivity analysis, DRT was associated with higher rate of stroke (12.1 vs. 3.2%; OR: 4.14; 95% CI = 2.69-6.38) and SE (16.0 vs. 3.8%; OR: 4.48; 95% CI = 3.04-6.62). Conclusion The incidence of DRT was low and similar between SS and DS devices. DRT was associated with increased rates of ischemic events. The occurrence rate of ischemic events associated DRT was comparable between two occlusion mechanism devices. Systematic review registration [https://www.crd.york.ac.uk/], identifier [CRD42022326179].
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Chen P, Wu Q, Xie X, Jing J, Gu H, Wang X, Meng X, Liu L, Wang Y, Wang Y. Systolic blood pressure and recurrent stroke in patients with different lesion patterns on diffusion weighted imaging. J Clin Hypertens (Greenwich) 2022; 24:1350-1357. [PMID: 35959564 PMCID: PMC9581100 DOI: 10.1111/jch.14543] [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: 04/25/2022] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 11/28/2022]
Abstract
Little is known about the relationship between baseline systolic blood pressure (SBP) and subsequent clinical events in patients with different lesion patterns on diffusion weighted imaging (DWI). We analyzed the Acute Non‐disabling Cerebrovascular Events (CHANCE) trial dataset. Patients were categorized into negative DW imaging (no detectable lesions), lacunar infarction (single lesion ≤15 mm) and non‐lacunar infarction (single lesion >15 mm or multiple lesions) based on lesion patterns on DWI. The primary outcome was recurrent stroke within 90 days. Cox proportional hazards models were used to assess the association between SBP levels and stroke outcomes in patients with different lesion patterns. A total of 1089 patients were analyzed. We found 258 cases (23.7%) with negative DW imaging, 392 (36.0%) with lacunar infarction and 439 (40.3%) with non‐lacunar infarction. Patients with non‐lacunar infarction had the highest incidence of stroke at 90‐day (P < .001). In non‐lacunar infarction group, compared with SBP < 160 mmHg, patients with SBP ≥ 160 mmHg had significantly higher risk of 90‐day recurrent stroke (20.3% vs. 10.7%; adjusted hazard ratio 1.81, 95% confidence interval 1.09–3.00). No significant association was found between SBP and clinical outcomes in patients with negative DWI and lacunar stroke groups. The result at 1 year was similar as at 90‐day. Therefore, non‐lacunar infarction, the most common lesion pattern in CHANCE study, had the highest risk of recurrent stroke and combined vascular events both in 90 days and 1 year. High baseline SBP was significantly associated with increased risk of short‐ and long‐term recurrent strokes in patients with non‐lacunar infarction.
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Affiliation(s)
- Pan Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Qiong Wu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.,Department of Neurology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Xuewei Xie
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Hongqiu Gu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Xianwei Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, 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.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
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21
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A score to predict the stroke recurrence of patients with embolic stroke of undetermined source. J Neurol 2022; 269:6428-6435. [PMID: 35925397 DOI: 10.1007/s00415-022-11277-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 10/16/2022]
Abstract
AIM We aimed to develop a score and validate it in a prospective cohort to identify the patients with ESUS at high risk for stroke recurrence. METHODS We assessed the stroke recurrence in ESUS patients of the Third China National Stroke Registry. We performed multivariable logistic regression analysis to identify predictors of stroke recurrence in the derivation cohort. Based on the coefficient of each covariate of the fitted multivariable model, we generated an integer-based point scoring system. We validated the score in the validation cohort assessing its discrimination and calibration. RESULTS 2415 patients were included: 1611 in the derivation and 804 in the validation sample. We developed a scoring system (0-15 points) by assigning 2 points for hypertension, 3 points for diabetes mellitus, 4 points for multiple stage infarction, 2 points for watershed involved infarction, 1 points for left atrial diameter index (per increasing 2.5 mm/m2) and 3 points for without statin at discharge. The rate of stroke recurrence was 5.9% per year (95% CI 4.2-7.6%) in patients with low risk(a score of 0-5), 9.4% (7.3-11.5%) in patients with intermediate risk (6-10), and 26.8% (16.5-37.1%) in patients with high risk (11-15). The AUC (area under curve of receiver operator characteristic curve) of the score in the derivation cohort and validation cohort was, respectively, 0.60 (0.55-0.65) and 0.63 (0.56-0.70). The score was well calibrated both in the derivation cohort (p = 0.36) and validation cohort (p = 0.26) with the Hosmer-Lemeshow test. CONCLUSION The developed score can improve risk stratification after ESUS in secondary care settings.
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22
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Cabral Frade H, Wilson SE, Beckwith A, Powers WJ. Comparison of Outcomes of Ischemic Stroke Initially Imaged With Cranial Computed Tomography Alone vs Computed Tomography Plus Magnetic Resonance Imaging. JAMA Netw Open 2022; 5:e2219416. [PMID: 35862046 PMCID: PMC9305377 DOI: 10.1001/jamanetworkopen.2022.19416] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
IMPORTANCE Patients with acute ischemic stroke often undergo magnetic resonance imaging (MRI) in addition to computed tomography (CT), but its association with clinical outcomes is uncertain. OBJECTIVE To assess whether clinical outcomes of patients with acute ischemic stroke with initial CT alone were noninferior to those with additional MRI. DESIGN, SETTING, AND PARTICIPANTS A retrospective observational propensity score-matched cohort study of clinical outcomes at discharge and 1 year for patients hospitalized with acute ischemic stroke was conducted at an academic medical center between January 2015 and December 2017. Data collection from an electronic medical record system performed from May 2020 through January 2022 was not completely blinded. Noninferiority margins were based on the designs of previous randomized clinical trials of ischemic stroke treatments. Statistical analysis was performed in January 2022. Participants were adults hospitalized with acute ischemic stroke with admission diagnosis based on CT. Exclusion criteria were primarily missing data. From 508 eligible patients, all 123 cases with additional MRI were propensity-score matched to 123 controls without. EXPOSURE MRI after initial diagnosis. MAIN OUTCOMES AND MEASURES Death or dependence at hospital discharge (modified Rankin Scale score of 3-6) and stroke or death occurring in survivors within 1 year after discharge. RESULTS Among 246 participants, the median age was 68 years (IQR, 58-78.8 years) and 131 (53.0%) were men. Death or dependence at discharge occurred more often in patients with additional MRI (59 of 123 [48.0%]) than in those with CT alone (52 of 123 [42.3%]; absolute difference, 5.7%; 95% CI, -6.7% to 18.1%), meeting the -7.50% criterion for noninferiority. Stroke or death within 1 year after discharge determined for 225 of 235 (96%) survivors occurred more often in patients with additional MRI (22 of 113 [19.5%]) than in those with CT alone (14 of 112 [12.5%]; relative risk, 1.14; 95% CI, 0.86-1.50), meeting the 0.725 relative risk criterion for noninferiority. CONCLUSIONS AND RELEVANCE This propensity score-matched cohort study of patients hospitalized with acute ischemic stroke found that a diagnostic imaging strategy of initial CT alone was noninferior to initial CT plus additional MRI with regard to clinical outcomes at discharge and at 1 year. Further research is needed to determine which patients hospitalized with acute ischemic stroke benefit from MRI.
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Affiliation(s)
- Heitor Cabral Frade
- Department of Neurology, the University of Texas Medical Branch at Galveston
| | - Susan E. Wilson
- Department of Neurology, University of North Carolina School of Medicine, Chapel Hill
| | - Anne Beckwith
- Department of Neurology, University of North Carolina School of Medicine, Chapel Hill
| | - William J. Powers
- Department of Neurology, University of North Carolina School of Medicine, Chapel Hill
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Teitcher M, Biller J. Understanding the Value of Diagnostic Imaging in Ischemic Stroke Outcomes. JAMA Netw Open 2022; 5:e2223077. [PMID: 35862050 DOI: 10.1001/jamanetworkopen.2022.23077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Michael Teitcher
- Department of Neurology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
| | - Jose Biller
- Department of Neurology, Loyola University Chicago Stritch School of Medicine, Maywood, Illinois
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Lv M, He W, Liang T, Yang J, Huang X, Liu S, Liang X, Long J, Su L. Exploring biomarkers for ischemic stroke through integrated microarray data analysis. Brain Res 2022; 1790:147982. [PMID: 35691413 DOI: 10.1016/j.brainres.2022.147982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 05/20/2022] [Accepted: 06/07/2022] [Indexed: 11/02/2022]
Abstract
Stroke is the third leading cause of disability-adjusted life years worldwide, and drugs available for its treatment are limited. This study aimed to explore high-confidence candidate genes associated with ischemic stroke (IS) through bioinformatics analysis and identify potential diagnostic biomarkers and gene-drug interactions. Weighted gene coexpression network analysis (WGCNA) and differentially expressed genes (DEGs) were integrated to identify overlapping genes. Then, high-confidence candidate genes were screened by least absolute shrinkage and selection operator (LASSO) regression. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic value of high-confidence candidate genes as biomarkers for IS. The NetworkAnalyst database was used to construct the TF-gene network and miRNA-TF regulatory network of the high-confidence candidate genes. The DGIdb database was used to identified gene-drug interactions. Through the comprehensive analysis of GSE58294 and GSE16561, 10 high-confidence candidate genes were identified by LASSO regression: ARG1, LY96, ABCA1, SLC22A4, CD163, TPM2, SLC25A42, ID3, FAM102A and CD79B. FAM102A had the highest diagnostic value, and the area under curve (AUC), sensitivity and specificity values were 0.974, 0.919 and 0.936, respectively. The HPA database demonstrated that 10 high-confidence candidate genes were expressed in the brain and blood in normal humans. Finally, DGIdb database analysis identified 8 gene-drug interactions. We identified IS-related diagnostic biomarkers and gene-drug interactions that potentially provide new insights into the diagnosis and treatment of IS.
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Affiliation(s)
- Miao Lv
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China
| | - Wanting He
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China
| | - Tian Liang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China
| | - Jialei Yang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China
| | - Xiaolan Huang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China
| | - Shengying Liu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China
| | - Xueying Liang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China
| | - Jianxiong Long
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China.
| | - Li Su
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China.
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25
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Lo CM, Hung PH. Computer-aided diagnosis of ischemic stroke using multi-dimensional image features in carotid color Doppler. Comput Biol Med 2022; 147:105779. [DOI: 10.1016/j.compbiomed.2022.105779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 05/24/2022] [Accepted: 06/19/2022] [Indexed: 11/17/2022]
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26
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Essen score in the prediction of cerebrovascular events compared with cardiovascular events after ischaemic stroke or transient ischaemic attack: a nationwide registry analysis. J Geriatr Cardiol 2022; 19:265-275. [PMID: 35572218 PMCID: PMC9068593 DOI: 10.11909/j.issn.1671-5411.2022.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The Essen risk score improves stratification of patients with acute ischemic stroke by early stroke recurrence. Recent study showed it could also predict myocardial infarction (MI). This study aimed to compare the Essen score's ability to predict cerebrovascular events with compared cardiovascular events. METHODS We included patients with acute ischaemic stroke or transient ischaemic attack within seven days from the Third China National Stroke Registry. One-year cumulative event rates of combined vascular events (a composite of MI, stroke recurrence or vascular death) and cardiac events (a composite of MI, heart failure or cardiac death) was estimated using the Kaplan-Meier method. The predictive value of the Essen score was assessed with C-statistics. In multivariate Cox regression analyses, we assessed whether Essen score, etiological subtype and imaging parameters were associated with outcomes. RESULTS Of 13,012 patients were included, the cumulative one-year event rates were 10.03% for combined vascular events and 0.77% for cardiac events, respectively. Compared with those with an Essen score < 3, patients with an Essen score ≥ 3 were more likely to have a subsequent combined vascular event [hazard ratio (HR) = 1.39, 95% CI: 1.24-1.55] and cardiac events (HR = 2.30, 95% CI: 1.53-3.44). The score tended to be more predictive of the risk of MI (C-statistic = 0.63, 95% CI: 0.55-0.71) and cardiac events (C-statistic = 0.62, 95% CI: 0.56-0.67) than stroke recurrence (C-statistic = 0.55, 95% CI: 0.54-0.57) and combined vascular events (C-statistic = 0.56, 95% CI: 0.54-0.57). In multivariable analysis after adjusted Essen score, patients with multiple acute infarctions or single acute infarctions and large artery atherosclerosis subtype were independently associated with an increased risk of combined vascular events. While the cardioembolism subtype was associated with an increased risk of cardiac events. CONCLUSIONS The Essen score is potentially more suitable for risk stratification of cardiovascular events than cerebrovascular events. Moreover, future predictive tools should take brain imaging findings and cause of stroke into consideration.
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2300] [Impact Index Per Article: 1150.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Epstein A, Schilter M, Vynckier J, Kaesmacher J, Mujanovic A, Scutelnic A, Beyeler M, Belachew NF, Grunder L, Arnold M, Seiffge DJ, Jung S, Fischer U, Meinel TR. Chronic Covert Brain Infarctions and White Matter Hyperintensities in Patients With Stroke, Transient Ischemic Attack, and Stroke Mimic. J Am Heart Assoc 2022; 11:e024191. [PMID: 35043677 PMCID: PMC9238476 DOI: 10.1161/jaha.121.024191] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background This study was conducted to compare frequencies of chronic brain infarctions (CBIs) and white matter hyperintensities (WMHs) as well as their associations with established early recurrence risk scores in patients with transient ischemic attack (TIA) and stroke mimics compared with ischemic stroke. Methods and Results Single‐center cohort study including consecutive patients with TIA, stroke mimics, and acute ischemic stroke, with available magnetic resonance imaging from January 2015 to December 2017. Blinded raters adjudicated WMH (age‐related white matter changes score) and CBI according to established definitions. A total of 2112 patients (median [Q1–Q3] age 71 [59–80] years, 43% women, National Institutes of Health Stroke Scale score of 2 [1–7], 80% ischemic stroke, 18% TIA, 2% stroke mimics) were included. While CBIs were present in only 10% of patients with stroke mimic, they were detected in 28% of TIAs and 38% of ischemic strokes (P<0.001). WMHs were less pronounced (0, 0–1) in patients with stroke mimic, but there was no difference between TIA (1, 1–2) and ischemic stroke (0, 1–2) patients. CBIs (adjusted odds ratio, 0.3; 95% CI, 0.1–0.9) were associated with a lower rate of stroke mimic as the final diagnosis, while WMHs were not (adjusted odds ratio per point, 1.3; 95% CI, 0.7–2.2). WMH (β per point, 0.4; 95% CI, 0.3–0.6) and presence of CBI (β, 0.6; 95% CI, 0.3–0.9) were associated with a higher cardiovascular risk profile according to the ABCD3‐I score. The accuracy of prediction was good for high‐risk TIA (cross‐validated area under the receiver operating characteristic curve, 0.89; 95% CI, 0.79–0.93) on the basis of brain imaging, age, and sex. Conclusions CBI and WMH differ between patients with stroke mimic and patients with TIA/ischemic stroke and are closely associated with established recurrence risk scores. Prospective studies need to clarify whether including brain frailty markers may contribute to the refinement of current management algorithms and risk stratifications.
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Affiliation(s)
- Alessandra Epstein
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Marina Schilter
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Jan Vynckier
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Johannes Kaesmacher
- University Institute for Diagnostic and Interventional Neuroradiology Inselspital Bern University Hospital, and University of Bern Switzerland.,University Institute for Diagnostic and Interventional Radiology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Adnan Mujanovic
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland.,University Institute for Diagnostic and Interventional Neuroradiology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Adrian Scutelnic
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Morin Beyeler
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Nebiyat Filate Belachew
- University Institute for Diagnostic and Interventional Neuroradiology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Lorenz Grunder
- University Institute for Diagnostic and Interventional Radiology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Marcel Arnold
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - David Julian Seiffge
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Simon Jung
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Urs Fischer
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
| | - Thomas Raphael Meinel
- Department of Neurology Inselspital Bern University Hospital, and University of Bern Switzerland
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Tan T, Zhou Y, Wan Y, Fan Z, Xu R, Gao X. Transition from metabolically healthy to unhealth status associated with risk of carotid artery plaque in Chinese adults. BMC Cardiovasc Disord 2021; 21:469. [PMID: 34583633 PMCID: PMC8477551 DOI: 10.1186/s12872-021-02279-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 09/20/2021] [Indexed: 01/27/2023] Open
Abstract
Objective We aimed to evaluate the association between the shift of metabolic status and future risk of carotid artery plaque (CAP) in community-based Chinese adults. Methods The current study included 9836 Chinese adults (4085 males and 5751 females, mean age 35.8 years) with metabolically healthy status at baseline (2013). Metabolically healthy status was defined as no self-reported history of metabolic diseases and cancer, and normal blood pressure, fasting blood glucose, glycated hemoglobin A1c level, and lipid profiles. Metabolically unhealthy status was defined if any of the following metabolic abnormalities were confirmed twice during follow up: high blood pressure, impaired glucose regulation, high triglycerides, high total cholesterol, high low-density lipoprotein cholesterols, or low high-density lipoprotein cholesterols. The transition was confirmed if participants’ metabolic status shifted from baseline healthy to unhealthy status during follow up (2014–2018). Results We have identified 133 incident cases of CAP during follow up. Compared to those who remained metabolically healthy, the transition to high blood pressure, high total cholesterol, and high low-density lipoprotein cholesterols, were associated with high risk of developing carotid artery plaque (Hazards ratios (HRs) ranged from 1.69 to 2.34; p < 0.05 for all). The transition to impaired glucose regulation, high total triglycerides, and low high-density lipoprotein cholesterols, were associated with high risk of carotid artery plaque only in participants with metabolically healthy overweight at baseline (HR ranged from 1.95 to 4.62; p < 0.05 for all). Conclusion The transition from baseline metabolically healthy status to unhealth status was associated with high risk of incident CAP. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-02279-w.
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Affiliation(s)
- Tao Tan
- Department of Clinical Nutrition, Ren Ji Hospital South Campus, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yiquan Zhou
- Department of Clinical Nutrition, Ren Ji Hospital South Campus, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yanping Wan
- Department of Clinical Nutrition, Ren Ji Hospital South Campus, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.,Shanghai Key Laboratory of Pediatrics Gastroenterology and Nutrition, Shanghai, China
| | - Zhuping Fan
- Department of Digestion, Ren Ji Hospital South Campus, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Renying Xu
- Department of Clinical Nutrition, Ren Ji Hospital South Campus, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China. .,Shanghai Key Laboratory of Pediatrics Gastroenterology and Nutrition, Shanghai, China.
| | - Xiang Gao
- Department of Nutrition Science, The Pennsylvania State University, State College, PA, USA
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30
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Bralic M, Sosic M, Kovacic S, Vuletic V. Reperfusion therapy in a patient with early recurrence of ischemic stroke. Neurol Sci 2021; 43:673-676. [PMID: 34480242 DOI: 10.1007/s10072-021-05587-3] [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: 06/17/2021] [Accepted: 08/26/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Acute ischemic stroke (AIS) has a high risk of recurrence, particularly in the early stage. Recurrent ischemic stroke (RIS) is associated with adverse neurological outcomes but the phenomenon of early RIS in the endovascular thrombectomy era has not been frequently discussed. We report a case addressing this issue. CASE PRESENTATION We present a patient who was successfully treated by mechanical thrombectomy (MT) for middle cerebral artery occlusion. Due to an early stroke recurrence, within 72 h after the first MT, he received systemic thrombolysis and repeated MT was performed with excellent clinical outcome. DISCUSSION We discuss the aspects of reperfusion therapy for patients experiencing early stroke recurrence. Consideration was given to stroke etiology and off-label use of thrombolytic therapy. Also, effectiveness of repeated MT for early re-occlusion of initially reanalyzed vessel was evaluated in order to allow more patients with RIS to benefit from reperfusion therapy.
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Affiliation(s)
- Marina Bralic
- Department of Neurology, Clinical Hospital Centre Rijeka, Kresimirova 42, 51 000, Rijeka, Croatia.
| | - Matija Sosic
- Department of Neurology, Clinical Hospital Centre Rijeka, Kresimirova 42, 51 000, Rijeka, Croatia
| | - Slavica Kovacic
- Department of Radiology, Clinical Hospital Centre Rijeka, Rijeka, Croatia
| | - Vladimira Vuletic
- Department of Neurology, Clinical Hospital Centre Rijeka, Kresimirova 42, 51 000, Rijeka, Croatia
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Goldberg EB, Meier EL, Sheppard SM, Breining BL, Hillis AE. Stroke Recurrence and Its Relationship With Language Abilities. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2021; 64:2022-2037. [PMID: 34043446 PMCID: PMC8740764 DOI: 10.1044/2021_jslhr-20-00347] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 11/23/2020] [Accepted: 02/20/2021] [Indexed: 06/12/2023]
Abstract
Purpose Many factors influence poststroke language recovery, yet little is known about the influence of previous stroke(s) on language after left hemisphere stroke. In this prospective longitudinal study, we investigated the role of prior stroke on language abilities following an acute left hemisphere ischemic stroke, while controlling for demographic and stroke-related factors, and examined if earlier stroke impacted language recovery at a chronic time point. Method Participants (n = 122) with acute left hemisphere ischemic stroke completed language evaluation and clinical neuroimaging. They were divided into two groups: single stroke (SS; n = 79) or recurrent stroke (RS; n = 43). A subset of participants (n = 31) completed chronic-stage re-evaluation. Factors studied included age, education, diabetes and hypertension diagnoses, lesion volume and broad location, group status, aphasia prevalence, and language scores. Results Groups did not differ in language performance across time points. The only significant group differences were that participants with RS were older, had smaller acute lesions, and were less educated. Stroke group membership (SS vs. RS) was not associated with language performance at either time point. In patients with prior stroke, large acute lesion volumes were associated with acute language performance, whereas both large acute and chronic volumes influenced recovery. Conclusions History of prior stroke in itself may not significantly influence language impairment after an additional acute left hemisphere stroke, unless it contributes substantially to the total volume of infarcted brain tissue. Chronic and acute lesion volumes should be accounted for in studies investigating poststroke language performance and recovery. Supplemental Material https://doi.org/10.23641/asha.14669715.
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Affiliation(s)
- Emily B. Goldberg
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Erin L. Meier
- Department of Communication Sciences and Disorders, Bouvé College of Health Sciences, Northeastern University, Boston, MA
| | - Shannon M. Sheppard
- Department of Communication Sciences and Disorders, Crean College of Health and Behavioral Sciences, Chapman University, Irvine, CA
| | - Bonnie L. Breining
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Argye E. Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD
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Tabbalat A, Dargham S, Al Suwaidi J, Aboulsoud S, Al Jerdi S, Abi Khalil C. Mortality and socio-economic outcomes among patients hospitalized for stroke and diabetes in the US: a recent analysis from the National Inpatient Sample. Sci Rep 2021; 11:8204. [PMID: 33859229 PMCID: PMC8050299 DOI: 10.1038/s41598-021-87320-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 03/26/2021] [Indexed: 01/09/2023] Open
Abstract
The prevalence and incidence of diabetes mellitus (DM) are increasing worldwide. We aim to assess mortality and socio-economic outcomes among patients hospitalized for stroke and diabetes in the US and evaluate their recent trends. We examined: in-hospital mortality, length of stay (LoS), and overall hospital charges in diabetic patients over 18 years old who were hospitalized with a stroke from 2005 to 2014, included in the National Inpatient Sample. In those patients, the mean (SD) age slightly decreased from 70 (13) years to 69 (13) years (p-trend < 0.001). Interestingly, although incident cases of stroke amongst DM patients increased from 17.4 to 20.0 /100,000 US adults (p-trend < 0.001), age-adjusted mortality for those with hemorrhagic strokes decreased from 24.3% to 19.6%, and also decreased from 3.23% to 2.48% for those with ischemic strokes (p-trend < 0.01 for both), but remained unchanged in TIAs patients. As expected, the average total charges per hospital stay almost doubled over the ten-year period, increasing from 15 970 to 31 018 USD/stay (adjusted for inflation). Nonetheless, median (IQR) LoS slightly decreased from 4 (2-6) to 3 (2-6) days (p-trend < 0.001). In total, our data show that, from 2005 to 2014, the incidence of stroke among the diabetes patient population are gradually increasing, in-hospital mortality is steadily decreasing, along with average LoS. Admission costs were up almost twofold during the same period.
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Affiliation(s)
- Aya Tabbalat
- Research Department, Weill Cornell Medicine-Qatar, PO box 24144, Doha, Qatar
| | - Soha Dargham
- Research Department, Weill Cornell Medicine-Qatar, PO box 24144, Doha, Qatar
| | - Jassim Al Suwaidi
- Research Department, Weill Cornell Medicine-Qatar, PO box 24144, Doha, Qatar.,Heart Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Samar Aboulsoud
- Department of Medicine, Kasr Alainy, Cairo University, Cairo, Egypt
| | - Salman Al Jerdi
- Research Department, Weill Cornell Medicine-Qatar, PO box 24144, Doha, Qatar
| | - Charbel Abi Khalil
- Research Department, Weill Cornell Medicine-Qatar, PO box 24144, Doha, Qatar. .,Heart Hospital, Hamad Medical Corporation, Doha, Qatar. .,Joan and Sanford I, Weill Department of Medicine, Weill Cornell Medicine, New York, USA.
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Smits HJG, Assili S, Kauw F, Philippens MEP, de Bree R, Dankbaar JW. Prognostic imaging variables for recurrent laryngeal and hypopharyngeal carcinoma treated with primary chemoradiotherapy: A systematic review and meta-analysis. Head Neck 2021; 43:2202-2215. [PMID: 33797818 PMCID: PMC8252607 DOI: 10.1002/hed.26698] [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: 12/22/2020] [Revised: 02/09/2021] [Accepted: 03/16/2021] [Indexed: 01/10/2023] Open
Abstract
Background In this systematic review, we aim to identify prognostic imaging variables of recurrent laryngeal or hypopharyngeal carcinoma after chemoradiotherapy. Methods A systematic search was performed in PubMed and EMBASE (1990–2020). The crude data and effect estimates were extracted for each imaging variable. The level of evidence of each variable was assessed and pooled risk ratios (RRs) were calculated. Results Twenty‐two articles were included in this review, 17 on computed tomography (CT) and 5 on magnetic resonance imaging (MRI) variables. We found strong evidence for the prognostic value of tumor volume at various cut‐off points (pooled RRs ranging from 2.09 to 3.03). Anterior commissure involvement (pooled RR 2.19), posterior commissure involvement (pooled RR 2.44), subglottic extension (pooled RR 2.25), and arytenoid cartilage extension (pooled RR 2.10) were also strong prognostic factors. Conclusion Pretreatment tumor volume and involvement of several subsites are prognostic factors for recurrent laryngeal or hypopharyngeal carcinoma after chemoradiotherapy.
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Affiliation(s)
- Hilde J G Smits
- Department of Radiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Sanam Assili
- Department of Radiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Frans Kauw
- Department of Radiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Marielle E P Philippens
- Department of Radiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Remco de Bree
- Department of Head and Neck Surgical Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Jan W Dankbaar
- Department of Radiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
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Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 2966] [Impact Index Per Article: 988.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Kauw F, van Ommen F, Bennink E, Cramer MJ, Kappelle LJ, Takx RA, Velthuis BK, Viergever MA, Wouter van Es H, Schonewille WJ, Coutinho JM, Majoie CB, Marquering HA, de Jong HW, Dankbaar JW. Early detection of small volume stroke and thromboembolic sources with computed tomography: Rationale and design of the ENCLOSE study. Eur Stroke J 2021; 5:432-440. [PMID: 33598562 PMCID: PMC7856586 DOI: 10.1177/2396987320966420] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 09/21/2020] [Indexed: 01/01/2023] Open
Abstract
Background Computed tomography is the most frequently used imaging modality in acute stroke imaging protocols. Detection of small volume infarcts in the brain and cardioembolic sources of stroke is difficult with current computed tomography protocols. Furthermore, the role of computed tomography findings to predict recurrent ischemic stroke is unclear. With ENCLOSE, we aim to improve (1) the detection of small volume infarcts with thin slice computed tomography perfusion (CTP) images and thromboembolic source with cardiac computed tomography techniques in the acute stage of ischemic stroke and (2) prediction of recurrent ischemic stroke with computed tomography-derived predictors. Methods/design: ENCLOSE is a prospective multicenter observational cohort study, which will be conducted in three Dutch stroke centers (ClinicalTrials.gov Identifier: NCT04019483). Patients (≥18 years) with suspected acute ischemic stroke who undergo computed tomography imaging within 9 h after symptom onset are eligible. Computed tomography imaging includes non-contrast CT, CTP, and computed tomography angiography (CTA) from base of the heart to the top of the brain. Dual-energy CT data will be acquired when possible, and thin-slice CTP reconstructions will be obtained in addition to standard 5 mm CTP data. CTP data will be processed with commercially available software and locally developed model-based methods. The post-processed thin-slice CTP images will be compared to the standard CTP images and to magnetic resonance diffusion-weighted imaging performed within 48 h after admission. Detection of cardioembolic sources of stroke will be evaluated on the CTA images. Recurrence will be evaluated 90 days and two years after the index event. The added value of imaging findings to prognostic models for recurrent ischemic stroke will be evaluated. Conclusion The aim of ENCLOSE is to improve early detection of small volume stroke and thromboembolic sources and to improve prediction of recurrence in patients with acute ischemic stroke.
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Affiliation(s)
- Frans Kauw
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Fasco van Ommen
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Edwin Bennink
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Maarten J Cramer
- Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, Utrecht, Utrecht University, The Netherlands
| | - L Jaap Kappelle
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Richard Ap Takx
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Max A Viergever
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - H Wouter van Es
- Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | | | | | - Henk A Marquering
- Department of Neurology, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - Hugo Wam de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jan W Dankbaar
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Shani SD, Varma RP, Sarma PS, Sylaja PN, Kutty VR. Life Style and Behavioural Factors are Associated with Stroke Recurrence Among Survivors of First Episode of Stroke: A Case Control Study. J Stroke Cerebrovasc Dis 2021; 30:105606. [PMID: 33548808 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105606] [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: 08/12/2020] [Revised: 12/04/2020] [Accepted: 01/03/2021] [Indexed: 10/22/2022] Open
Abstract
BACKGROUND Secondary stroke prevention treatment is associated with an 80% reduction in risk of recurrent stroke. But one out of every four strokes are recurrent. Adherence to pharmacological therapy and strict control of risk factors are essential for prevention of recurrent strokes. METHODS Pair matched incident case control study was done to find out the factors associated with stroke recurrence after first ever stroke. Incident cases of recurrent strokes and age and post stroke period matched controls were recruited prospectively. The estimated sample size for the study was 70 matched pairs. Data collected from medical records and by visiting their homes. Analysis was done using R statistical software. RESULTS Bivariate analysis showed cardio embolic stroke subtype, poor lipid control, unhealthy diet, physical inactivity, medication nonadherence, presence of depression, memory problems no discharge advice at index admission and low income were associated increased risk of recurrence. Higher mean NIHSS score and a greater number of days of hospitalisation during index stroke had less risk of recurrence. Conditional logistic regression analysis revealed non adherence to medication (OR 7.46, 1.67-33.28) and not receiving discharge advice at index admission (OR 10.79, 2.38-49.02) were associated with increased risk of recurrence whereas lacunar stroke (OR 0.08, 0.01-0.59) and a greater number of days of hospitalization during index stroke (OR 0.82, 0.67-0.99) were associated with less risk of recurrence. CONCLUSION Individualised patient education regarding stroke, recurrence risk, medication adherence, healthy lifestyle and risk factor control can reduce stroke recurrence risk.
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Affiliation(s)
- S D Shani
- Achutha Menon Centre for Health Sciences Studies (AMCHSS), Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram, Kerala, India
| | - R P Varma
- Achutha Menon Centre for Health Sciences Studies (AMCHSS), Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram, Kerala, India
| | - P S Sarma
- Achutha Menon Centre for Health Sciences Studies (AMCHSS), Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram, Kerala, India
| | - P N Sylaja
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram 695 011, Kerala, India.
| | - V Raman Kutty
- Ex- Professor, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Honorary Chairman, Health Action by People, Trivandrum 695011 INDIA
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Tan CH, Wu AG, Sia CH, Leow AS, Chan BP, Sharma VK, Yeo LL, Tan BY. Cilostazol for secondary stroke prevention: systematic review and meta-analysis. Stroke Vasc Neurol 2021; 6:410-423. [PMID: 33542092 PMCID: PMC8485237 DOI: 10.1136/svn-2020-000737] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 12/01/2020] [Indexed: 01/19/2023] Open
Abstract
Background Stroke is one of the leading causes of death worldwide. Cilostazol, an antiplatelet and phosphodiesterase 3 inhibitor, has not been clearly established for ischaemic stroke use. We aim to determine the efficacy and safety of cilostazol for secondary stroke prevention. Methods MEDLINE, EMBASE, Cochrane Library, Web of Science and ClinicalTrials.gov were searched from inception to 25 September 2020, for randomised trials comparing the efficacy and safety of cilostazol monotherapy or dual therapy with another antiplatelet regimen or placebo, in patients with ischaemic stroke. Version 2 of the Cochrane risk-of-bias tool for randomised trials (RoB 2) was used to assess study quality. This meta-analysis was reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Results Eighteen randomised trials comprising 11 429 participants were included in this meta-analysis. Most trials possessed low risk of bias and were of low heterogeneity. Cilostazol significantly reduced the rate of ischaemic stroke recurrence (risk ratio, RR=0.69, 95% CI 0.58 to 0.81), any stroke recurrence (RR=0.64, 95% CI 0.54 to 0.74) and major adverse cardiovascular events (RR=0.67, 95% CI 0.56 to 0.81). Cilostazol did not significantly decrease mortality (RR=0.90, 95% CI 0.64 to 1.25) or increase the rate of good functional outcome (Modified Rankin Scale score of 0–1; RR=1.07, 95% CI 0.95 to 1.19). Cilostazol demonstrated favourable safety profile, significantly reducing the risk of intracranial haemorrhage (RR=0.46, 95% CI 0.31 to 0.68) and major haemorrhagic events (RR=0.49, 95% CI 0.34 to 0.70). Conclusions Cilostazol demonstrated superior efficacy and safety profiles compared with traditional antiplatelet regimens such as aspirin and clopidogrel for secondary stroke prevention but does not appear to affect functional outcomes. Future randomised trials can be conducted outside East Asia, or compare cilostazol with a wider range of antiplatelet agents.
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Affiliation(s)
- Choon Han Tan
- Department of Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Andrew Gr Wu
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ching-Hui Sia
- Department of Cardiology, National University Heart Centre, Singapore
| | - Aloysius St Leow
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Bernard Pl Chan
- Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Vijay Kumar Sharma
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Leonard Ll Yeo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore .,Division of Neurology, Department of Medicine, National University Health System, Singapore
| | - Benjamin Yq Tan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Neurology, Department of Medicine, National University Health System, Singapore
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Kauw F, Greving JP, Takx RAP, de Jong HWAM, Schonewille WJ, Vos JA, Wermer MJH, van Walderveen MAA, Kappelle LJ, Velthuis BK, Dankbaar JW. Prediction of long-term recurrent ischemic stroke: the added value of non-contrast CT, CT perfusion, and CT angiography. Neuroradiology 2020; 63:483-490. [PMID: 32857214 PMCID: PMC7966192 DOI: 10.1007/s00234-020-02526-5] [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: 06/17/2020] [Accepted: 08/16/2020] [Indexed: 11/30/2022]
Abstract
Purpose The aim of this study was to evaluate whether the addition of brain CT imaging data to a model incorporating clinical risk factors improves prediction of ischemic stroke recurrence over 5 years of follow-up. Methods A total of 638 patients with ischemic stroke from three centers were selected from the Dutch acute stroke study (DUST). CT-derived candidate predictors included findings on non-contrast CT, CT perfusion, and CT angiography. Five-year follow-up data were extracted from medical records. We developed a multivariable Cox regression model containing clinical predictors and an extended model including CT-derived predictors by applying backward elimination. We calculated net reclassification improvement and integrated discrimination improvement indices. Discrimination was evaluated with the optimism-corrected c-statistic and calibration with a calibration plot. Results During 5 years of follow-up, 56 patients (9%) had a recurrence. The c-statistic of the clinical model, which contained male sex, history of hyperlipidemia, and history of stroke or transient ischemic attack, was 0.61. Compared with the clinical model, the extended model, which contained previous cerebral infarcts on non-contrast CT and Alberta Stroke Program Early CT score greater than 7 on mean transit time maps derived from CT perfusion, had higher discriminative performance (c-statistic 0.65, P = 0.01). Inclusion of these CT variables led to a significant improvement in reclassification measures, by using the net reclassification improvement and integrated discrimination improvement indices. Conclusion Data from CT imaging significantly improved the discriminatory performance and reclassification in predicting ischemic stroke recurrence beyond a model incorporating clinical risk factors only. Electronic supplementary material The online version of this article (10.1007/s00234-020-02526-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Frans Kauw
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands. .,Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Jacoba P Greving
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Richard A P Takx
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Hugo W A M de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | | | - Jan A Vos
- Department of Radiology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - L Jaap Kappelle
- Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Jan W Dankbaar
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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Increased One-Year Recurrent Ischemic Stroke after First-Ever Ischemic Stroke in Males with Benign Prostatic Hyperplasia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155360. [PMID: 32722374 PMCID: PMC7432020 DOI: 10.3390/ijerph17155360] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/14/2020] [Accepted: 07/22/2020] [Indexed: 12/21/2022]
Abstract
(1) Background: Patients with benign prostatic hyperplasia (BPH) were questioned about quality of life and sleep. Most BPH patients were treated with alpha-1 adrenergic receptor antagonists, which could improve cerebral blood flow for 1–2 months. Patients with ischemic stroke (IS) could experience cerebral autoregulation impairment for six months. The relationship between BPH and recurrent IS remains unclear. The aim of this study was to determine the risk of one-year recurrent IS conferred by BPH. (2) Methods: We used data from the Taiwanese National Health Insurance Database to identify newly diagnosed IS cases entered from 1 January 2008 to 31 December 2008. Patients were followed until the recurrent IS event or 365 days after the first hospitalization. The risk factors associated with one-year recurrent IS were assessed using Cox proportional hazards regression. (3) Results: Patients with BPH had a higher risk of recurrent IS (12.11% versus 8.15%) (adjusted hazard ratio (HR): 1.352; 95% confidence interval (CI): 1.028–1.78, p = 0.031). Other risk factors included hyperlipidemia (adjusted HR: 1.338; 95% CI: 1.022–1.751, p = 0.034), coronary artery disease (adjusted HR: 1.487; 95% CI: 1.128–1.961, p = 0.005), chronic obstructive pulmonary disease (adjusted HR: 1.499; 95% CI: 1.075–2.091, p = 0.017), and chronic kidney disease (adjusted HR: 1.523; 95% CI: 1.033–2.244, p = 0.033). (4) Conclusion: Patients with BPH who had these risk factors had an increased risk of one-year recurrent IS. The modification of risk factors may prevent recurrent IS.
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Abreu P, Magalhães R, Baptista D, Azevedo E, Silva MC, Correia M. Readmissions and Mortality During the First Year After Stroke-Data From a Population-Based Incidence Study. Front Neurol 2020; 11:636. [PMID: 32793092 PMCID: PMC7393181 DOI: 10.3389/fneur.2020.00636] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 05/28/2020] [Indexed: 12/20/2022] Open
Abstract
Background: After a first-ever-in-a-lifetime stroke (FELS), hospital readmissions are common and associated with increased mortality and morbidity of stroke survivors, thus, raising the overall health burden of stroke. Population-based stroke studies on hospital readmissions are scarce despite it being an important healthcare service quality indicator. We evaluated unplanned readmissions or death during the first year after a FELS and their potential factors, based on a Portuguese community register. Methods: Data were retrieved from a population-based prospective register undertaken in Northern Portugal (ACIN2) in 2009–2011. Retrospective information about unplanned hospital readmissions and case fatality within 1 year after FELS index hospitalization (FELS-IH) was evaluated. Readmission/death-free survival 1 year after discharge was estimated using the Kaplan–Meyer method. Independent risk factors for readmission/death were identified using Cox proportional hazard models. Results: Unplanned readmission/death within 1 year occurred in 120 (31.6%) of the 389 hospitalized FELS survivors. In 31.2% and 33.5% of the cases, it occurred after ischemic stroke or intracerebral hemorrhage, respectively. Infections and cerebrovascular and cardiovascular diseases were the main causes of readmission. Of the readmissions, 65.3% and 52.5% were potentially avoidable or stroke related, respectively. The main cause of potentially avoidable readmissions was the continuation/recurrence of the event responsible for the initial admission or a closely related condition (71.2%). Male sex, age, previous and post-stroke functional status, and FELS-IH length of stay were independent factors of readmission/death within 1 year. Conclusions: Almost one-third of FELS survivors were readmitted/dead 1 year after their FELS-IH. This outcome persisted after the first months after stroke hospitalization in all stroke subtypes. More than half of readmissions were considered potentially avoidable or stroke related.
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Affiliation(s)
- Pedro Abreu
- Department of Neurology, Centro Hospitalar Universitário de São João, Porto, Portugal.,Department of Clinical Neurosciences and Mental Health, Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
| | - Rui Magalhães
- Instituto de Ciências Biomédicas Abel Salazar, Universidade Do Porto, Porto, Portugal
| | - Diana Baptista
- Department of Clinical Neurosciences and Mental Health, Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
| | - Elsa Azevedo
- Department of Neurology, Centro Hospitalar Universitário de São João, Porto, Portugal.,Department of Clinical Neurosciences and Mental Health, Faculdade de Medicina, Universidade Do Porto, Porto, Portugal
| | - Maria Carolina Silva
- Instituto de Ciências Biomédicas Abel Salazar, Universidade Do Porto, Porto, Portugal
| | - Manuel Correia
- Instituto de Ciências Biomédicas Abel Salazar, Universidade Do Porto, Porto, Portugal.,Department of Neurology, Hospital Santo António-Centro Hospitalar Universitário Do Porto, Porto, Portugal
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41
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Takashima N, Arima H, Kita Y, Fujii T, Tanaka-Mizuno S, Shitara S, Kitamura A, Miura K, Nozaki K. Two-Year Recurrence After First-Ever Stroke in a General Population of 1.4 Million Japanese Patients - The Shiga Stroke and Heart Attack Registry Study. Circ J 2020; 84:943-948. [PMID: 32350232 DOI: 10.1253/circj.cj-20-0024] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND Despite many effective strategies for the prevention of recurrent stroke, individuals who survive an initial stroke have been shown to be at high risk of recurrent stroke. The aim of this study was to investigate the current status of stroke recurrence after first-ever stroke using a population-based stroke registry in Japan.Methods and Results:As part of the Shiga Stroke and Heart Attack Registry, the Shiga Stroke Registry is an ongoing population-based stroke registry study that covers approximately 1.4 million residents of Shiga Prefecture, Japan. A total of 1,883 first-ever stroke survivors at 28 days was registered in 2011 and followed-up until the end of 2013. Recurrence was defined as any type of stroke after 28 days from the onset of an index event. Two-year cumulative recurrence rates were estimated using cumulative incidence function methods. Over a mean 2.1-year follow-up period, 120 patients experienced recurrent stroke and 389 patients died without recurrence. The 2-year cumulative recurrence rate was higher in patients with index ischemic stroke (6.8%) than in those with index hemorrhagic stroke (3.8%). CONCLUSIONS Two-year cumulative recurrence rate after first-ever stroke remained high, particularly among patients with ischemic stroke, in the present population-based registry study in a real-world setting in Japan. Further intensive secondary prevention strategies are required for these high-risk individuals.
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Affiliation(s)
- Naoyuki Takashima
- Department of Public Health, Shiga University of Medical Science.,Department of Public Health, Kindai University Faculty of Medicine
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University
| | - Yoshikuni Kita
- Department of Public Health, Shiga University of Medical Science.,Tsuruga Nursing University
| | - Takako Fujii
- Department of Neurosurgery, Shiga University of Medical Science.,Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University
| | | | - Satoshi Shitara
- Department of Neurosurgery, Shiga University of Medical Science
| | | | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science.,Center for Epidemiologic Research in Asia, Shiga University of Medical Science
| | - Kazuhiko Nozaki
- Department of Neurosurgery, Shiga University of Medical Science.,Center for Epidemiologic Research in Asia, Shiga University of Medical Science
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42
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Khan A, Akhtar N, Kamran S, Almuhannadi H, Ponirakis G, Petropoulos IN, Babu B, Jose NR, Ibrahim RG, Gad H, Bourke P, Saqqur M, Shuaib A, Malik RA. Corneal confocal microscopy identifies greater corneal nerve damage in patients with a recurrent compared to first ischemic stroke. PLoS One 2020; 15:e0231987. [PMID: 32320450 PMCID: PMC7176137 DOI: 10.1371/journal.pone.0231987] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 04/03/2020] [Indexed: 01/01/2023] Open
Abstract
Objectives Corneal nerve damage may be a surrogate marker for the risk of ischemic stroke. This study was undertaken to determine if there is greater corneal nerve damage in patients with recurrent ischemic stroke. Methods Corneal confocal microscopy (CCM) was used to quantify corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), corneal nerve fiber length (CNFL) and corneal nerve fiber tortuosity (CNFT) in 31 patients with recurrent ischemic stroke, 165 patients with a first acute ischemic stroke and 23 healthy control subjects. Results Triglycerides (P = 0.004, P = 0.017), systolic BP (P = 0.000, P = 0.000), diastolic BP (P = 0.000, P = 0.000) and HbA1c (P = 0.000, P = 0.000) were significantly higher in patients with first and recurrent stroke compared to controls. There was no difference in age, BMI, HbA1c, total cholesterol, triglycerides, LDL, HDL, systolic and diastolic BP between patients with a first and recurrent ischemic stroke. However, CNFD was significantly lower (24.98±7.31 vs 29.07±7.58 vs 37.91±7.13, P<0.05) and CNFT was significantly higher (0.085±0.042 vs 0.064±0.037 vs 0.039±0.022, P<0.05) in patients with recurrent stroke compared to first stroke and healthy controls. CNBD (42.21±24.65 vs 50.46±27.68 vs 87.24±45.85, P<0.001) and CNFL (15.66±5.70, P<0.001 vs 17.38±5.06, P = 0.003) were equally reduced in patients with first and recurrent stroke compared to controls (22.72±5.14). Conclusions Corneal confocal microscopy identified greater corneal nerve fibre loss in patients with recurrent stroke compared to patients with first stroke, despite comparable risk factors. Longitudinal studies are required to determine the prognostic utility of corneal nerve fiber loss in identifying patients at risk of recurrent ischemic stroke.
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Affiliation(s)
- Adnan Khan
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Naveed Akhtar
- Department of Neurology and Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar
| | - Saadat Kamran
- Department of Neurology and Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar
| | | | | | | | - Blessy Babu
- Department of Neurology and Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar
| | - Namitha R. Jose
- Department of Neurology and Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar
| | - Rumissa G. Ibrahim
- Department of Neurology and Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar
| | - Hoda Gad
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Paula Bourke
- Department of Neurology and Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar
| | - Maher Saqqur
- Department of Neurology and Institute of Neurosciences, Hamad Medical Corporation, Doha, Qatar
- Department of Neurology, Stroke Program, University of Alberta, Alberta, Canada
| | - Ashfaq Shuaib
- Department of Neurology, Stroke Program, University of Alberta, Alberta, Canada
| | - Rayaz A. Malik
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
- * E-mail:
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43
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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: 4698] [Impact Index Per Article: 1174.5] [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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44
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Lee JD, Hu YH, Lee M, Huang YC, Kuo YW, Lee TH. High Risk of One-year Stroke Recurrence in Patients with Younger Age and Prior History of Ischemic Stroke. Curr Neurovasc Res 2019; 16:250-257. [DOI: 10.2174/1567202616666190618164528] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 05/17/2019] [Accepted: 05/18/2019] [Indexed: 11/22/2022]
Abstract
Background and Purpose:
Recurrent ischemic strokes increase the risk of disability
and mortality. The role of conventional risk factors in recurrent strokes may change due to increased
awareness of prevention strategies. The aim of this study was to explore the potential risk
factors besides conventional ones which may help to affect the advances in future preventive concepts
associated with one-year stroke recurrence (OSR).
Methods:
We analyzed 6,632 adult patients with ischemic stroke. Differences in clinical characteristics
between patients with and without OSR were analyzed using multivariate logistic regression
and classification and regression tree (CART) analyses.
Results:
Among the study population, 525 patients (7.9%) had OSR. Multivariate logistic regression
analysis revealed that male sex (OR 1.243, 95% CI 1.025 – 1.506), age (OR 1.015, 95% CI
1.007 - 1.023), and a prior history of ischemic stroke (OR 1.331, 95% CI 1.096 – 1.615) were major
factors associated with OSR. CART analysis further identified age and a prior history of ischemic
stroke were important factors for OSR when classified the patients into three subgroups
(with risks of OSR of 8.8%, 3.8%, and 12.5% for patients aged > 57.5 years, ≤ 57.5 years/with no
prior history of ischemic stroke, and ≤ 57.5 years/with a prior history of ischemic stroke, respectively).
Conclusions:
Male sex, age, and a prior history of ischemic stroke could increase the risk of OSR
by multivariate logistic regression analysis, and CART analysis further demonstrated that patients
with a younger age (≤ 57.5 years) and a prior history of ischemic stroke had the highest risk of
OSR.
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Affiliation(s)
- Jiann-Der Lee
- Department of Neurology, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Ya-Han Hu
- Department of Information Management and Institute of Healthcare Information Management, National Chung Cheng University, Chiayi County, Taiwan
| | - Meng Lee
- Department of Neurology, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Yen-Chu Huang
- Department of Neurology, Chang Gung Memorial Hospital, Chang Gung University, College of Medicine, Taoyuan, Taiwan
| | - Ya-Wen Kuo
- Department of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Taoyuan, Taiwan
| | - Tsong-Hai Lee
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Chang Gung University, Taoyuan, Taiwan
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