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Espanol A, Lerebours F, Calviere L, Bonneville F, Ducros A, Larrue V, Gollion C. Silent brain infarct in migraine: Systematic review and meta-analysis. Rev Neurol (Paris) 2024; 180:486-493. [PMID: 37743182 DOI: 10.1016/j.neurol.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 09/26/2023]
Abstract
BACKGROUND While migraine, particularly migraine with aura, is a recognized risk factor for ischemic stroke, the association of migraine with silent brain infarction is a matter of debate, as studies on this topic have yielded conflicting results. METHODS A systematic review of the literature was conducted of studies reporting migraine and silent brain infarction, assessed by magnetic resonance imaging, between January 1980 and April 2022, by consulting Medline and Embase databases. Studies with a control group were included in a meta-analysis of population-based studies. An exploratory meta-analysis of both population-based and clinical-based studies was further performed to test the association between migraine with aura and silent brain infarction. RESULTS A total of 2,408 articles were identified, among which 24 were included in the systematic review and 10 in the meta-analysis. The meta-analysis of population-based studies showed no association of migraine with silent brain infarction (odds ratio (OR)=1.32 [95% CI 0.92;1.90], P=0.13) and migraine with aura with silent brain infarction (OR=1.56 [0.74;3.30], P=0.24). However, in the exploratory meta-analysis of population-based and clinical-based studies, migraine with aura was significantly associated with silent brain infarction (OR=1.91 [1.02;3.59], P=0.04) and to silent cerebellar infarcts (OR=2.57 [1.01;6.56], P=0.05). CONCLUSION In this updated systematic review and meta-analysis of population-based studies, migraine and migraine with aura were not associated with silent brain infarction.
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Affiliation(s)
- A Espanol
- Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - F Lerebours
- Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - L Calviere
- Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - F Bonneville
- Inserm, ToNIC, Toulouse NeuroImaging Center, University of Toulouse III, Toulouse, France; Department of Neuroradiology, University Hospital of Toulouse, Toulouse, France
| | - A Ducros
- Department of Neurology, University Hospital of Montpellier, Montpellier, France
| | - V Larrue
- Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - C Gollion
- Department of Neurology, University Hospital of Toulouse, Toulouse, France; Inserm, ToNIC, Toulouse NeuroImaging Center, University of Toulouse III, Toulouse, France.
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van Gennip ACE, Satizabal CL, Tracy RP, Sigurdsson S, Gudnason V, Launer LJ, van Sloten TT. Associations of plasma NfL, GFAP, and t-tau with cerebral small vessel disease and incident dementia: longitudinal data of the AGES-Reykjavik Study. GeroScience 2024; 46:505-516. [PMID: 37530894 PMCID: PMC10828267 DOI: 10.1007/s11357-023-00888-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023] Open
Abstract
We investigated the associations of plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and total tau (t-tau) with markers of cerebral small vessel disease (SVD) and with incident dementia. We also investigated whether associations of NfL, GFAP, and t-tau with incident dementia were explained by SVD. Data are from a random subsample (n = 1069) of the population-based AGES-Reykjavik Study who underwent brain MRI and in whom plasma NfL, GFAP, and t-tau were measured at baseline (76.1 ± 5.4 years/55.9% women/baseline 2002-2006/follow-up until 2015). A composite SVD burden score was calculated using white matter hyperintensity volume (WMHV), subcortical infarcts, cerebral microbleeds, and large perivascular spaces. Dementia was assessed in a 3-step process and adjudicated by specialists. Higher NfL was associated with a higher SVD burden score. Dementia occurred in 225 (21.0%) individuals. The SVD burden score significantly explained part of the association between NfL and incident dementia. WMHV mostly strongly contributed to the explained effect. GFAP was not associated with the SVD burden score, but was associated with WMHV, and WMHV significantly explained part of the association between GFAP and incident dementia. T-tau was associated with WMHV, but not with incident dementia. In conclusion, the marker most strongly related to SVD is plasma NfL, for which the association with WMHV appeared to explain part of its association with incident dementia. This study suggests that plasma NfL may reflect the contribution of co-morbid vascular disease to dementia. However, the magnitude of the explained effect was relatively small, and further research is required to investigate the clinical implications of this finding.
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Affiliation(s)
- April C E van Gennip
- Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- School for Cardiovascular Diseases (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA
| | - Russell P Tracy
- Laboratory for Clinical Biochemistry Research, The Robert Larner M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | | | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute On Aging, National Institutes of Health, Baltimore, MD, USA
| | - Thomas T van Sloten
- Department of Vascular Medicine, Utrecht University Medical Center, Utrecht, The Netherlands.
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3
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Sudre CH, Van Wijnen K, Dubost F, Adams H, Atkinson D, Barkhof F, Birhanu MA, Bron EE, Camarasa R, Chaturvedi N, Chen Y, Chen Z, Chen S, Dou Q, Evans T, Ezhov I, Gao H, Girones Sanguesa M, Gispert JD, Gomez Anson B, Hughes AD, Ikram MA, Ingala S, Jaeger HR, Kofler F, Kuijf HJ, Kutnar D, Lee M, Li B, Lorenzini L, Menze B, Molinuevo JL, Pan Y, Puybareau E, Rehwald R, Su R, Shi P, Smith L, Tillin T, Tochon G, Urien H, van der Velden BHM, van der Velpen IF, Wiestler B, Wolters FJ, Yilmaz P, de Groot M, Vernooij MW, de Bruijne M. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Med Image Anal 2024; 91:103029. [PMID: 37988921 DOI: 10.1016/j.media.2023.103029] [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: 07/01/2022] [Revised: 08/09/2023] [Accepted: 11/13/2023] [Indexed: 11/23/2023]
Abstract
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and interrater variability. Automated rating may benefit biomedical research, as well as clinical assessment, but diagnostic reliability of existing algorithms is unknown. Here, we present the results of the VAscular Lesions DetectiOn and Segmentation (Where is VALDO?) challenge that was run as a satellite event at the international conference on Medical Image Computing and Computer Aided Intervention (MICCAI) 2021. This challenge aimed to promote the development of methods for automated detection and segmentation of small and sparse imaging markers of cerebral small vessel disease, namely enlarged perivascular spaces (EPVS) (Task 1), cerebral microbleeds (Task 2) and lacunes of presumed vascular origin (Task 3) while leveraging weak and noisy labels. Overall, 12 teams participated in the challenge proposing solutions for one or more tasks (4 for Task 1-EPVS, 9 for Task 2-Microbleeds and 6 for Task 3-Lacunes). Multi-cohort data was used in both training and evaluation. Results showed a large variability in performance both across teams and across tasks, with promising results notably for Task 1-EPVS and Task 2-Microbleeds and not practically useful results yet for Task 3-Lacunes. It also highlighted the performance inconsistency across cases that may deter use at an individual level, while still proving useful at a population level.
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Affiliation(s)
- Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom; Centre for Medical Image Computing, University College London, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
| | - Kimberlin Van Wijnen
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Florian Dubost
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Hieab Adams
- Department of Clinical Genetics and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - David Atkinson
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Frederik Barkhof
- Centre for Medical Image Computing, University College London, London, United Kingdom; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Mahlet A Birhanu
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Esther E Bron
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Robin Camarasa
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | - Yuan Chen
- Department of Radiology, University of Massachusetts Medical School, Worcester, USA
| | - Zihao Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Shuai Chen
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Qi Dou
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, China
| | - Tavia Evans
- Department of Clinical Genetics and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Ivan Ezhov
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Haojun Gao
- Department of Radiology, Zhejiang University, Hangzhou, China
| | | | - Juan Domingo Gispert
- Barcelonaß Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Barcelona, Spain
| | | | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - H Rolf Jaeger
- Institute of Neurology, University College London, London, United Kingdom
| | - Florian Kofler
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Denis Kutnar
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Bo Li
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Bjoern Menze
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; Department of Quantitative Biomedicine, University of Zurich, Switzerland
| | - Jose Luis Molinuevo
- Barcelonaß Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; H. Lundbeck A/S, Copenhagen, Denmark
| | - Yiwei Pan
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | | | - Rafael Rehwald
- Institute of Neurology, University College London, London, United Kingdom
| | - Ruisheng Su
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Pengcheng Shi
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | | | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | | | - Hélène Urien
- ISEP-Institut Supérieur d'Électronique de Paris, Issy-les-Moulineaux, France
| | | | - Isabelle F van der Velpen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany
| | - Frank J Wolters
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Pinar Yilmaz
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marius de Groot
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; GlaxoSmithKline Research, Stevenage, United Kingdom
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marleen de Bruijne
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
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Garg PK, Bhatia HS, Allen TS, Grainger T, Pouncey AL, Dichek D, Virmani R, Golledge J, Allison MA, Powell JT. Assessment of Subclinical Atherosclerosis in Asymptomatic People In Vivo: Measurements Suitable for Biomarker and Mendelian Randomization Studies. Arterioscler Thromb Vasc Biol 2024; 44:24-47. [PMID: 38150519 PMCID: PMC10753091 DOI: 10.1161/atvbaha.123.320138] [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] [Indexed: 12/29/2023]
Abstract
BACKGROUND One strategy to reduce the burden of cardiovascular disease is the early detection and treatment of atherosclerosis. This has led to significant interest in studies of subclinical atherosclerosis, using different phenotypes, not all of which are accurate reflections of the presence of asymptomatic atherosclerotic plaques. The aim of part 2 of this series is to provide a review of the existing literature on purported measures of subclinical disease and recommendations concerning which tests may be appropriate in the prevention of incident cardiovascular disease. METHODS We conducted a critical review of measurements used to infer the presence of subclinical atherosclerosis in the major conduit arteries and focused on the predictive value of these tests for future cardiovascular events, independent of conventional cardiovascular risk factors, in asymptomatic people. The emphasis was on studies with >10 000 person-years of follow-up, with meta-analysis of results reporting adjusted hazard ratios (HRs) with 95% CIs. The arterial territories were limited to carotid, coronary, aorta, and lower limb arteries. RESULTS In the carotid arteries, the presence of plaque (8 studies) was independently associated with future stroke (pooled HR, 1.89 [1.04-3.44]) and cardiac events (7 studies), with a pooled HR, 1.77 (1.19-2.62). Increased coronary artery calcium (5 studies) was associated with the risk of coronary heart disease events, pooled HR, 1.54 (1.07-2.07) and increasing severity of calcification (by Agaston score) was associated with escalation of risk (13 studies). An ankle/brachial index (ABI) of <0.9, the pooled HR for cardiovascular death from 7 studies was 2.01 (1.43-2.81). There were insufficient studies of either, thoracic or aortic calcium, aortic diameter, or femoral plaque to synthesize the data based on consistent reporting of these measures. CONCLUSIONS The presence of carotid plaque, coronary artery calcium, or abnormal ankle pressures seems to be a valid indicator of the presence of subclinical atherosclerosis and may be considered for use in biomarker, Mendelian randomization and similar studies.
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Affiliation(s)
- Parveen K Garg
- Division of Cardiology, University of Southern California, Keck School of Medicine, Los Angeles (G.P.)
| | - Harpreet S Bhatia
- Division of Cardiovascular Medicine, University of California San Diego (B.H., A.T., A.M.A.)
| | - Tara S Allen
- Division of Cardiovascular Medicine, University of California San Diego (B.H., A.T., A.M.A.)
| | - Tabitha Grainger
- Department of Surgery & Cancer, Imperial College London (G.T., P.A.-L., P.J.T.)
| | - Anna L Pouncey
- Department of Surgery & Cancer, Imperial College London (G.T., P.A.-L., P.J.T.)
| | - David Dichek
- Division of Cardiology, Department of Medicine, University of Washington, Seattle (D.D.)
| | | | - Jonathan Golledge
- Queensland Research Centre for Peripheral Vascular Disease, James Cook University and Townsville University Hospital, Australia (G.J.)
| | - Matthew A Allison
- Division of Cardiovascular Medicine, University of California San Diego (B.H., A.T., A.M.A.)
| | - Janet T Powell
- Department of Surgery & Cancer, Imperial College London (G.T., P.A.-L., P.J.T.)
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Bao W, Hu X, Ge L, Tang S, Zhao X, Huang S, Liu C, Li F, Zhang C, Li C. Establishment and Validation of the Nomogram Model and the Probability of Silent Cerebral Infarction After Ablation Atrial Fibrillation. Cardiovasc Drugs Ther 2023:10.1007/s10557-023-07530-4. [PMID: 38103153 DOI: 10.1007/s10557-023-07530-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/20/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND The objective of this study is to establish and validate a nomogram model for predicting the probability of silent cerebral infarction following ablation of atrial fibrillation. METHODS AND RESULTS A retrospective observational study was conducted on the data of 238 patients with atrial fibrillation who underwent radiofrequency ablation in our hospital from October 2019 to December 2022. LASSO regression and multivariate logistics regression analysis were used to assess the independent risk factors for silent cerebral infarction after ablation. The AUC of the predictive model was 0.733 (95% CI, 0.649-0.816) and the internal validation (bootstrap = 1000) of the bootstrap method was 0.733 (95% CI 0.646-0.813). The Hosmer-Lemeshow test yields an insignificant p-value of X-squared = 10.212 and p-value = 0.2504, thus indicating an insignificant difference between predicted and observed values and good calibration results. The clinical impact curve (CIC) and clinical decision curve also prove that this graph is useful in the clinical setting. CONCLUSION We developed an easy-to-use nomogram model to predict the probability of silent cerebral infarction following radiofrequency ablation of atrial fibrillation. This model can provide a valid assessment of the probability of postoperative silent cerebral infarction in patients undergoing radiofrequency ablation of atrial fibrillation.
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Affiliation(s)
- Wei Bao
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Xiaoqin Hu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Liqi Ge
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Shiyun Tang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Xinliang Zhao
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Shuo Huang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Chen Liu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Fei Li
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Chaoqun Zhang
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Chengzong Li
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
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Jeong S, Poudyal S, Klagges S, Kuhnt T, Papsdorf K, Hambsch P, Wach J, Güresir E, Nägler F, Rühle A, Nicolay NH, Seidel C. Diabetes Mellitus Is a Strong Independent Negative Prognostic Factor in Patients with Brain Metastases Treated with Radiotherapy. Cancers (Basel) 2023; 15:4845. [PMID: 37835539 PMCID: PMC10571851 DOI: 10.3390/cancers15194845] [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: 07/03/2023] [Revised: 09/07/2023] [Accepted: 09/29/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Brain metastases (BM) cause relevant morbidity and mortality in cancer patients. The presence of cerebrovascular diseases can alter the tumor microenvironment, cellular proliferation and treatment resistance. However, it is largely unknown if the presence of distinct cerebrovascular risk factors may alter the prognosis of patients with BM. METHODS Patients admitted for the radiotherapy of BM at a large tertiary cancer center were included. Patient and survival data, including cerebrovascular risk factors (diabetes mellitus (DM), smoking, arterial hypertension, peripheral arterial occlusive disease, hypercholesterolemia and smoking) were recorded. RESULTS 203 patients were included. Patients with DM (n = 39) had significantly shorter overall survival (OS) (HR 1.75 (1.20-2.56), p = 0.003, log-rank). Other vascular comorbidities were not associated with differences in OS. DM remained prognostically significant in the multivariate Cox regression including established prognostic factors (HR 1.92 (1.20-3.06), p = 0.006). Furthermore, subgroup analyses revealed a prognostic role of DM in patients with non-small cell lung cancer, both in univariate (HR 1.68 (0.97-2.93), p = 0.066) and multivariate analysis (HR 2.73 (1.33-5.63), p = 0.006), and a trend in melanoma patients. CONCLUSION DM is associated with reduced survival in patients with BM. Further research is necessary to better understand the molecular mechanisms and therapeutic implications of this important interaction.
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Affiliation(s)
- Seong Jeong
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
| | - Soniya Poudyal
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
| | | | - Thomas Kuhnt
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
| | - Kirsten Papsdorf
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
| | - Peter Hambsch
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
| | - Johannes Wach
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
- Department of Neurosurgery, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Erdem Güresir
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
- Department of Neurosurgery, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Franziska Nägler
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
| | - Alexander Rühle
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
| | - Nils H. Nicolay
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
| | - Clemens Seidel
- Department of Radiation Oncology, University of Leipzig Medical Center, 04103 Leipzig, Germany (S.P.); (T.K.)
- Comprehensive Cancer Center Central Germany, Partner Site Leipzig, 04103 Leipzig, Germany; (J.W.)
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7
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Altamura C, Viticchi G, Rizzo AC, Maggio P, Brunelli N, Marcosano M, Lazzaro VD, Fiacco F, Agostoni EC, Silvestrini M, Vernieri F. Stroke territory and atherosclerosis in ischemic stroke patients with a history of migraine with aura. Front Neurol 2023; 14:1142424. [PMID: 36923493 PMCID: PMC10008946 DOI: 10.3389/fneur.2023.1142424] [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: 01/11/2023] [Accepted: 02/02/2023] [Indexed: 03/01/2023] Open
Abstract
Introduction The mechanisms subtending the increased stroke risk in migraine with aura (MA) are not fully understood. Our study aims to evaluate if the clinical profile in stroke patients with MA differentiates from those without MA. Methods We retrieved the prospective registered electronic clinical dossiers of adult patients younger than 60 years with acute ischemic stroke admitted in four hospitals between January 2016 and June 2022. Patients were classified by the history of MA (MA+ and MA-). Results We identified 851 stroke patients (59 MA+, 6.9%). Compared to MA-, MA+ patients were characterized by younger age (44.0 ± 10.6 vs 50.1 ± 8.2 years), female sex (59.3% vs 29.0%), and affected by cryptogenic (OR 2.594 95% CI 1.483-4.537), and cerebellar stroke (OR 3.218 95% CI 1.657-6.250; p ≤ 0.001 for all comparisons). After adjusting for age and sex, MA+ patients presented less frequently hypertension (OR 0.349 95% CI 0.167-0.470; p=0.005) and dyslipidemia (OR 0.523 95% CI 0.280-0.974; p = 0.041). After adjusting also for risk factors, the MA+ group had less frequently symptomatic large vessel stenosis (OR 0.126 95% CI 0.017-0,924; p = 0.042) and clinical atherosclerosis (OR 0.103 95% CI 0.014-0.761; p = 0.026), while intima-media thickness did not differ (p = 0.395). Discussion Cryptogenic and cerebellar stroke and fewer vascular risk factors and clinical atherosclerosis seem to characterize stroke patients with MA.
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Affiliation(s)
- Claudia Altamura
- Department of Medicine and Surgery, Unit of Headache and Neurosonology, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
- *Correspondence: Claudia Altamura ✉
| | | | - Angelo Cascio Rizzo
- Neurology and Stroke Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Paola Maggio
- Neurology Unit, ASST Bergamo Est, Seriate, Italy
| | - Nicoletta Brunelli
- Department of Medicine and Surgery, Unit of Headache and Neurosonology, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
| | - Marilena Marcosano
- Department of Medicine and Surgery, Unit of Headache and Neurosonology, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
| | - Vincenzo Di Lazzaro
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
- Department of Medicine and Surgery, Unit of Neurology, Neurophysiology, Neurobiology, and Psychiatry, Università Campus Bio-Medico di Roma, Roma, Italy
| | | | | | | | - Fabrizio Vernieri
- Department of Medicine and Surgery, Unit of Headache and Neurosonology, Università Campus Bio-Medico di Roma, Roma, Italy
- Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
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Renke MB, Marcinkowska AB, Kujach S, Winklewski PJ. A Systematic Review of the Impact of Physical Exercise-Induced Increased Resting Cerebral Blood Flow on Cognitive Functions. Front Aging Neurosci 2022; 14:803332. [PMID: 35237146 PMCID: PMC8882971 DOI: 10.3389/fnagi.2022.803332] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 01/11/2022] [Indexed: 12/16/2022] Open
Abstract
Brain perfusion declines with aging. Physical exercise represents a low-cost accessible form of intervention to increase cerebral blood flow; however, it remains unclear if exercise-induced amelioration of brain perfusion has any impact on cognition. We aimed to provide a state-of-the art review on this subject. A comprehensive search of the PubMed (MEDLINE) database was performed. On the basis of the inclusion and exclusion criteria, 14 studies were included in the analysis. Eleven of the studies conducted well-controlled exercise programs that lasted 12–19 weeks for 10–40 participants and two studies were conducted in much larger groups of subjects for more than 5 years, but the exercise loads were indirectly measured, and three of them were focused on acute exercise. Literature review does not show a direct link between exercise-induced augmentation of brain perfusion and better cognitive functioning. However, in none of the reviewed studies was such an association the primary study endpoint. Carefully designed clinical studies with focus on cognitive and perfusion variables are needed to provide a response to the question whether exercise-induced cerebral perfusion augmentation is of clinical importance.
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Affiliation(s)
- Maria B. Renke
- Functional Near Infrared Spectroscopy Lab, Department of Human Physiology, Medical University of Gdańsk, Gdańsk, Poland
- Department of Electronics, Telecommunication and Informatics, Gdańsk University of Technology, Gdańsk, Poland
- *Correspondence: Maria B. Renke
| | - Anna B. Marcinkowska
- Applied Cognitive Neuroscience Lab, Department of Human Physiology, Medical University of Gdańsk, Gdańsk, Poland
- Second Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Sylwester Kujach
- Functional Near Infrared Spectroscopy Lab, Department of Human Physiology, Medical University of Gdańsk, Gdańsk, Poland
- Department of Physiology, Gdańsk University of Physical Education and Sport, Gdańsk, Poland
| | - Paweł J. Winklewski
- Second Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
- Department of Human Physiology, Medical University of Gdańsk, Gdańsk, Poland
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