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Fandler-Höfler S, Ambler G, Banerjee G, Nash PS, Obergottsberger L, Wünsch G, Kiss C, Fabisch L, Kneihsl M, Zhang W, Ozkan H, Locatelli M, Du Y, Panteleienko L, Mendel R, Thiankhaw K, Simister RJ, Jäger HR, Enzinger C, Gattringer T, Werring DJ. Temporal and Spatial Clustering of Intracerebral Hemorrhage in Cerebral Amyloid Angiopathy. Neurology 2024; 103:e209770. [PMID: 39151104 PMCID: PMC11361829 DOI: 10.1212/wnl.0000000000209770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 07/09/2024] [Indexed: 08/18/2024] Open
Abstract
OBJECTIVES Cerebral amyloid angiopathy (CAA)-associated lobar intracerebral hemorrhage (ICH) has a high risk of recurrence, but the underlying mechanisms remain uncertain. We, therefore, aimed to characterize patterns of recurrent ICH. METHODS We investigated early recurrent ICH (≥1 recurrent ICH event within 90 days of the index event) and ICH clusters (≥2 ICH events within 90 days at any time point) in 2 large cohorts of consecutive patients with first-ever ICH and available MRI. RESULTS In 682 included patients (median age 68 years, 40.3% female, median follow-up time 4.1 years), 18 (2.6%) had an early recurrent ICH, which was associated with higher age and CAA. In patients with probable CAA, the risk of early recurrent ICH was increased 5-fold within the first 3 months compared with during months 4-12 (hazard ratio 5.41, 95% CI 2.18-13.4) while no significant difference was observed in patients without CAA. In patients with an ICH cluster, we observed spatial clustering (recurrent ICH within close proximity of index ICH in 63.0%) and a tendency for multiple sequential hemorrhages (≥3 ICH foci within 3 months in 44.4%). DISCUSSION Our data provide evidence of both temporal and spatial clustering of ICH in CAA, suggesting a transient and localized active bleeding-prone process.
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Affiliation(s)
- Simon Fandler-Höfler
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Gareth Ambler
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Gargi Banerjee
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Philip S Nash
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Lena Obergottsberger
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Gerit Wünsch
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Christian Kiss
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Linda Fabisch
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Markus Kneihsl
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Wenpeng Zhang
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Hatice Ozkan
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Martina Locatelli
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Yang Du
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Larysa Panteleienko
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Rom Mendel
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Kitti Thiankhaw
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Robert J Simister
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Hans Rolf Jäger
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Christian Enzinger
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Thomas Gattringer
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - David J Werring
- From the Department of Neurology (S.F.-H., L.O., C.K., L.F., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., G.B., P.S.N., W.Z., H.O., M.L., Y.D., L.P., R.M., K.T., R.J.S., D.J.W.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London; MRC Prion Unit at UCL (G.B.), Institute of Prion Diseases, London, United Kingdom; Institute for Medical Informatics, Statistics and Documentation (G.W.), and Division of Neuroradiology, Vascular and Interventional Radiology (M.K.), Department of Radiology, Medical University of Graz, Austria; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
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Hou Y, Sang Y, Ma M, Yang K, Yang F, Wei G. Relationship between changes in neurological deficit severity and adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage: a retrospective cohort study. Int J Neurosci 2024:1-6. [PMID: 38651276 DOI: 10.1080/00207454.2024.2346795] [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: 03/28/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024]
Abstract
OBJECTIVE To explore the relationship between changes in neurological deficit severity and the occurrence of adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage. METHODS Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of NIHSS scores for adverse cardiac events. RESULTS There were significant differences between the two groups. Multivariate logistic regression analysis showed that advanced age, high NIHSS score, large intracerebral hemorrhage volume, and high CK level were independent risk factors for adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage (p < 0.05). The NIHSS scores of both groups gradually increased after admission, peaking at 48 h after admission. In Group A, this elevation persisted until 72 h after admission, while in Group B, there was a significant decrease at 72 h after admission (p < 0.05). From admission to 7 days after admission, the NIHSS scores in Group A were higher than those in Group B (p < 0.05). The area under the curve (AUC) of the NIHSS scores at 48 h after admission was 0.776, with sensitivity and specificity of 80.9% and 84.5%, respectively, which were higher than those of other indicators (p < 0.05). CONCLUSION The occurrence of adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage is influenced by multiple factors, and as the NIHSS score increases, the risk of such events gradually increases. Clinicians should pay attention to monitoring NIHSS scores after admission, as they have value in predicting adverse cardiac events in elderly patients with hypertensive intracerebral hemorrhage.
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Affiliation(s)
- Ying Hou
- Department of Electrocardiography, Affiliated People's Hospital of Shandong First Medical University, Jinan, Shandong, China
| | - Yunfeng Sang
- Emergency Department, Affiliated People's Hospital of Shandong First Medical University, Jinan, Shandong Province, China
| | - Min Ma
- Emergency Department, Affiliated People's Hospital of Shandong First Medical University, Jinan, Shandong Province, China
| | - Kun Yang
- Emergency Department, Affiliated People's Hospital of Shandong First Medical University, Jinan, Shandong Province, China
| | - Fengyong Yang
- Department of Critical Care Medicine, Affiliated People's Hospital of Shandong First Medical University, China
| | - Guangchen Wei
- Department of Critical Care Medicine, Affiliated People's Hospital of Shandong First Medical University, China
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Lee BC, Tsai HH, Chen ZW, Chang CC, Huang JZ, Chang YY, Tsai CH, Chou CH, Liao CW, Pan CT, Wu VC, Hung CS, Tsai LK, Lin YH. Aldosteronism is associated with more severe cerebral small vessel disease in hypertensive intracerebral hemorrhage. Hypertens Res 2024; 47:608-617. [PMID: 37993592 DOI: 10.1038/s41440-023-01458-w] [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: 01/24/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 11/24/2023]
Abstract
Primary aldosteronism is associated with various types of cardiovascular and cerebrovascular damage independently of hypertension. Although chronic hypertension and related cerebral arteriosclerosis are the main risk factors for intracerebral hemorrhage, the effects of aldosteronism remain poorly understood. We enrolled 90 survivors of hypertensive intracerebral hemorrhage, 21 of them with aldosteronism and 69 with essential hypertension as controls in this study. Clinical parameters and neuroimaging markers of cerebral small vessel disease were recorded, and its correlations with aldosteronism were investigated. Our results showed that the aldosteronism group (55.2 ± 9.7 years, male 47.6%) had similar hypertension severity but exhibited a higher cerebral microbleed count (interquartile range) (8.5 [2.0‒25.8] vs 3 [1.0‒6.0], P = 0.005) and higher severity of dilated perivascular space in the basal ganglia (severe perivascular space [number >20], 52.4% vs. 24.6%, P = 0.029; large perivascular space [>3 mm], 52.4% vs. 20.3%, P = 0.010), compared to those with essential hypertension (53.8 ± 11.7 years, male 73.9%). In multivariate models, aldosteronism remained an independent predictor of a higher (>10) microbleed count (odds ratio = 8.60, P = 0.004), severe perivascular space (odds ratio = 4.00, P = 0.038); the aldosterone-to-renin ratio was associated with dilated perivascular space (P = 0.043) and large perivascular space (P = 0.008). In conclusions, survivors of intracerebral hemorrhage with aldosteronism showed a tendency towards more severe hypertensive arteriopathy than the essential hypertension counterparts independently of blood pressure; aldosteronism may contribute to dilated perivascular space around the deep perforating arteries. Aldosteronism is associated with more severe cerebral small vessel disease in hypertensive intracerebral hemorrhage.
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Affiliation(s)
- Bo-Ching Lee
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, ROC
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan, ROC
- Department of Medical Imaging, National Taiwan University Hospital Yun-lin Branch, Douliu, Taiwan, ROC
| | - Hsin-Hsi Tsai
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan, ROC
| | - Zheng-Wei Chen
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan, ROC
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, ROC
- Department of Internal Medicine, National Taiwan University Hospital Yun-lin Branch, Douliu, Taiwan, ROC
| | - Chin-Chen Chang
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, ROC
| | - Jia-Zheng Huang
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, ROC
| | - Yi-Yao Chang
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan, ROC
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, ROC
- Cardiology Division of Cardiovascular Medical Center, Far Eastern Memorial Hospital, New Taipei City, Taiwan, ROC
| | - Cheng-Hsuan Tsai
- Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine, Taipei, Taiwan, ROC
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, ROC
| | - Chia-Hung Chou
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan, ROC
| | - Che-Wei Liao
- Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, HsinChu, Taiwan, ROC
- National Taiwan University Cancer Center, Taipei, Taiwan, ROC
| | - Chien-Ting Pan
- Department of Internal Medicine, National Taiwan University Hospital Yun-lin Branch, Douliu, Taiwan, ROC
| | - Vin-Cent Wu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, ROC
| | - Chi-Sheng Hung
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, ROC
- Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan, ROC
| | - Li-Kai Tsai
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan, ROC.
| | - Yen-Hung Lin
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan, ROC.
- Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan, ROC.
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Jia X, Bo M, Zhao H, Xu J, Pan L, Lu Z. Risk factors for recurrent cerebral amyloid angiopathy-related intracerebral hemorrhage. Front Neurol 2023; 14:1265693. [PMID: 38020625 PMCID: PMC10661374 DOI: 10.3389/fneur.2023.1265693] [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: 07/23/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background Cerebral amyloid angiopathy (CAA) is the most common cause of lobar intracerebral hemorrhage (ICH) in the elderly, and its multifocal and recurrent nature leads to high rates of disability and mortality. Therefore, this study aimed to summarize the evidence regarding the recurrence rate and risk factors for CAA-related ICH (CAA-ICH). Methods We performed a systematic literature search of all English studies published in PubMed, Embase, Web of Science, Cochrane Library, Scopus, and CINAHL from inception to June 10, 2023. Studies reporting CAA-ICH recurrence rates and risk factors for CAA-ICH recurrence were included. We calculated pooled odds ratios (ORs) with their corresponding 95% confidence intervals (CIs) using a random/fixed-effects model based on the I2 assessment of heterogeneity between studies. Publication bias was assessed using Egger's test. Results Thirty studies were included in the final analysis. Meta-analysis showed that the recurrence rate of CAA-ICH was 23% (95% CI: 18-28%, I2 = 96.7%). The risk factors significantly associated with CAA-ICH recurrence were: previous ICH (OR = 2.03; 95% CI: 1.50-2.75; I2 = 36.8%; N = 8), baseline ICH volume (OR = 1.01; 95% CI: 1-1.02; I2 = 0%; N = 4), subarachnoid hemorrhage (cSAH) (OR = 3.05; 95% CI: 1.86-4.99; I2 = 0%; N = 3), the presence of cortical superficial siderosis (cSS) (OR = 2.04; 95% CI: 1.46-2.83; I2 = 0%; N = 5), disseminated cSS (OR = 3.21; 95% CI: 2.25-4.58; I2 = 16.0%; N = 6), and centrum semiovale-perivascular spaces (CSO-PVS) severity (OR = 1.67; 95% CI: 1.14-2.45; I2 = 0%; N = 4). Conclusion CAA-ICH has a high recurrence rate. cSAH, cSS (especially if disseminated), and CSO-PVS were significant markers for recurrent CAA-ICH. The onset of ICH in patients with CAA is usually repeated several times, and recurrence is partly related to the index ICH volume. Identifying clinical and neuroimaging predictors of CAA-ICH recurrence is of great significance for evaluating outcomes and improving the prognosis of patients with CAA-ICH. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=400240, identifier [CRD42023400240].
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Affiliation(s)
- Xinglei Jia
- VIP Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Menghan Bo
- VIP Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hong Zhao
- Teaching Affairs Department, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jia Xu
- VIP Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Luqian Pan
- Department of Geriatrics, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhengyu Lu
- VIP Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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5
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Fandler-Höfler S, Obergottsberger L, Ambler G, Eppinger S, Wünsch G, Kneihsl M, Seiffge D, Banerjee G, Wilson D, Nash P, Jäger HR, Enzinger C, Werring DJ, Gattringer T. Association of the Presence and Pattern of MRI Markers of Cerebral Small Vessel Disease With Recurrent Intracerebral Hemorrhage. Neurology 2023; 101:e794-e804. [PMID: 37349111 PMCID: PMC10449438 DOI: 10.1212/wnl.0000000000207510] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/24/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Assessing the risk of recurrent intracerebral hemorrhage (ICH) is of high clinical importance. MRI-based cerebral small vessel disease (SVD) markers may help establish ICH etiologic subtypes (including cryptogenic ICH) relevant for recurrence risk. METHODS We investigated the risk of recurrent ICH in a large cohort of consecutive ICH survivors with available MRI at baseline. Patients with macrovascular, structural, or other identified secondary causes (other than SVD) were excluded. Based on MRI findings, ICH etiology was defined as probable cerebral amyloid angiopathy (CAA) according to the Boston 2.0 criteria, arteriolosclerosis (nonlobar ICH and additional markers of arteriolosclerosis, absent lobar hemorrhagic lesions), mixed SVD (mixed deep and lobar hemorrhagic changes), or cryptogenic ICH (no MRI markers of SVD). Recurrent ICH was determined using electronic health records and confirmed by neuroimaging. Data from an independent multicenter cohort (CROMIS-2 ICH) were used to confirm core findings. RESULTS Of 443 patients with ICH (mean age 67 ± 13 years, 41% female), ICH etiology was mixed SVD in 36.7%, arteriolosclerosis in 23.6%, CAA in 23.0%, and cryptogenic ICH in 16.7%. During a median follow-up period of 5.7 years (interquartile range 2.9-10.0, 2,682 patient-years), recurrent ICH was found in 59 individual patients (13.3%). The highest recurrence rate per 100 person-years was detected in patients with CAA (8.5, 95% CI 6.1-11.7), followed by that in those with mixed SVD (1.8, 95% CI 1.1-2.9) and arteriolosclerosis (0.6, 95% CI 0.3-1.5). No recurrent ICH occurred in patients with cryptogenic ICH during 510 person-years follow-up (97.5% CI 0-0.7); this finding was confirmed in an independent cohort (CROMIS-2 ICH, n = 216), in which also there was no recurrence in patients with cryptogenic ICH. In patients with CAA, cortical superficial siderosis was the imaging feature strongest related to ICH recurrence (hazard ratio 5.7, 95% CI 2.4-13.6). DISCUSSION MRI-based etiologic subtypes are helpful in determining the recurrence risk of ICH; while the highest recurrence risk was found in CAA, recurrence risk was low for arteriolosclerosis and negligible for cryptogenic ICH.
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Affiliation(s)
- Simon Fandler-Höfler
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Lena Obergottsberger
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Gareth Ambler
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Sebastian Eppinger
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Gerit Wünsch
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Markus Kneihsl
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - David Seiffge
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Gargi Banerjee
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Duncan Wilson
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Philip Nash
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Hans Rudolf Jäger
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Christian Enzinger
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - David J Werring
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom
| | - Thomas Gattringer
- From the Department of Neurology (S.F.-H., L.O., S.E., M.K., C.E., T.G.), Medical University of Graz, Austria; Stroke Research Centre (S.F.-H., D.S., G.B., D. Wilson, P.N., D. Werring), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology; Department of Statistical Science (G.A.), University College London, United Kingdom; Division of Neuroradiology, Vascular and Interventional Radiology (S.E., M.K., T.G.), Department of Radiology; Institute for Medical Informatics, Statistics and Documentation (G.W.), Medical University of Graz, Austria; Department of Neurology (D.S.), University Hospital Bern, Inselspital, University of Bern, Switzerland; and Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, United Kingdom.
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6
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Wang J, Wang LJ, Wang LM, Liu ZH, Ren HL, Chen XM, Wang JM, Cai HM, Wei LP, Tian HH. A novel aged mouse model of recurrent intracerebral hemorrhage in the bilateral striatum. Neural Regen Res 2023; 18:344-349. [PMID: 35900428 PMCID: PMC9396476 DOI: 10.4103/1673-5374.346459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
The current animal models of stroke primarily model a single intracerebral hemorrhage (ICH) attack, and there is a lack of a reliable model of recurrent ICH. In this study, we established 16-month-old C57BL/6 male mouse models of ICH by injecting collagenase VII-S into the left striatum. Twenty-one days later, we injected collagenase VII-S into the right striatum to simulate recurrent ICH. Our results showed that mice subjected to bilateral striatal hemorrhage had poorer neurological function at the early stage of hemorrhage, delayed recovery in locomotor function, motor coordination, and movement speed, and more obvious emotional and cognitive dysfunction than mice subjected to unilateral striatal hemorrhage. These findings indicate that mouse models of bilateral striatal hemorrhage can well simulate clinically common recurrent ICH. These models should be used as a novel tool for investigating the pathogenesis and treatment targets of recurrent ICH.
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7
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Huhndorf M, Röcken C, Flüh C, Weiler C, Kuhlenbäumer G, Tegeler N, Schacht H, Neumann A, Margraf NG, Jensen-Kondering U. Frequency of deep-seated cerebral microbleeds in patients with lobar hemorrhages and histopathological evidence for cerebral amyloid angiopathy. Front Neurol 2023; 14:1146737. [PMID: 37122304 PMCID: PMC10130449 DOI: 10.3389/fneur.2023.1146737] [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: 01/17/2023] [Accepted: 03/08/2023] [Indexed: 05/02/2023] Open
Abstract
Background Cerebral amyloid angiopathy (CAA) is a common disease and the most common cause of lobar hemorrhages in the elderly. Usually, deep-seated microhemorrhages preclude the diagnosis of CAA. In this study, we sought to estimate the frequency of deep-seated microbleeds on MRI in patients with lobar hemorrhages and histopathological evidence for cerebral amyloid angiopathy. In addition, we describe a cohort of patients with cortical and deep-seated microbleeds on MRI and a histopathological specimen available from lobar hematoma evacuation. Methods Retrospective database search for histopathological specimens from lobar hematoma evacuation and review of imaging findings (CT and MRI) and patient charts was performed. Results Between 1 January 2012 and 31 December 2020, 88 specimens from 88 patients were available. A total of 56 specimens were excluded (no brain tissue in the specimen n = 4, other diagnosis n = 8, no MRI n = 43, and no BOLD-based sequence n = 1). Of the remaining 32 patients, 25 patients (78%) did not harbor deep-seated lesions on MRI, of which 17 patients had histopathological features of CAA. A total of seven patients harbored deep-seated CMB. Of these seven patients, three (3/20, 15%) had histopathological features of CAA. Conclusion Approximately 15% of patients with histopathologically diagnosed CAA harbor deep-seated microbleeds. This finding may add to the discussion on how to identify patients with CAA and deep-seated CMB.
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Affiliation(s)
- Monika Huhndorf
- Department of Radiology and Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Christoph Röcken
- Department of Pathology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Charlotte Flüh
- Department of Neurosurgery, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Caroline Weiler
- Department of Neurology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Gregor Kuhlenbäumer
- Department of Neurology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Nora Tegeler
- Department of Neurosurgery, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Hannes Schacht
- Department of Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Lübeck, Germany
| | - Alexander Neumann
- Department of Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Lübeck, Germany
| | - Nils G. Margraf
- Department of Neurology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
| | - Ulf Jensen-Kondering
- Department of Radiology and Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Kiel, Germany
- Department of Neuroradiology, Universitätsklinikum Schleswig-Holstein (UKSH), Lübeck, Germany
- *Correspondence: Ulf Jensen-Kondering
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8
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Periole C, Blanc C, Calvière L, Fontaine L, Viguier A, Albucher JF, Chollet F, Bonneville F, Olivot JM, Raposo N. Prevalence and characterization of cerebral small vessel disease in young adults with intracerebral hemorrhage. Int J Stroke 2023; 18:102-108. [PMID: 35361018 DOI: 10.1177/17474930221093526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND AIMS Cerebral small vessel disease (CSVD) is the main cause of intracerebral hemorrhage (ICH) in older individuals but has not been systematically studied in younger people. We aimed to evaluate the prevalence and characteristics of CSVD in young adults with symptomatic ICH. METHODS We conducted a cohort study of consecutive adults aged 18-50 years with non-traumatic ICH. All patients were evaluated with brain and vascular imaging. Using validated imaging markers (cerebral microbleeds (CMBs), white matter hyperintensities and/or lacunes), patients were categorized as having CSVD-related ICH or non-CSVD-related ICH. Factors associated with CSVD were evaluated using multivariable analyses. CSVD subtypes were characterized using pre-specified criteria. RESULTS Of 146 young adults with ICH (mean age = 37.7), CSVD was present in 41 patients (28.1%; 95% confidence interval (CI) = 21.0-36.1). In multivariable analysis, older age, male sex, and hypertension were independently associated with the presence of CSVD. Deep perforator arteriopathy (48.8%) and mixed CSVD (31.7%) were the most common CSVD subtypes. CONCLUSION Our results suggest that CSVD is a frequent cause of ICH in young adults and provide new insights into the characterization of the disease. These findings may have important implications since the treatment and management differ from other causes of ICH.
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Affiliation(s)
- Charlotte Periole
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Clémence Blanc
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Lionel Calvière
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, INSERM, UPS, Toulouse, France
| | - Louis Fontaine
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Alain Viguier
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, INSERM, UPS, Toulouse, France
| | - Jean-François Albucher
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, INSERM, UPS, Toulouse, France
| | - François Chollet
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, INSERM, UPS, Toulouse, France
| | - Fabrice Bonneville
- Toulouse NeuroImaging Center, Université de Toulouse, INSERM, UPS, Toulouse, France.,Department of Neuroradiology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Jean-Marc Olivot
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, INSERM, UPS, Toulouse, France
| | - Nicolas Raposo
- Department of Neurology, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Toulouse NeuroImaging Center, Université de Toulouse, INSERM, UPS, Toulouse, France
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9
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Chen CH, Chu YT, Chen YF, Ko TY, Cheng YW, Lee MJ, Chen PL, Tang SC, Jeng JS. Comparison of clinical and neuroimaging features between NOTCH3 mutations and nongenetic spontaneous intracerebral haemorrhage. Eur J Neurol 2022; 29:3243-3254. [PMID: 35781912 DOI: 10.1111/ene.15485] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/25/2022] [Accepted: 06/29/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND The NOTCH3 mutation is a common cause of hereditary cerebral small vessel disease (CSVD) and may be a cause of spontaneous intracerebral haemorrhage (ICH). We aimed to investigate the clinical/imaging features for identifying the NOTCH3 mutations related ICH. METHODS The study was based on a cohort of 749 CSVD patients in Taiwan who received next-generation sequencing of CSVD genes including NOTCH3. Patients with history of ICH (n=206) were included for analysis. The CSVD neuroimaging markers were compared between the patients with NOTCH3 and without known genetic mutations. RESULTS After excluding the patients with other causes of ICH (structural lesions, systemic/medication-related, or amyloid angiopathy) and those without neuroimaging, 45 NOTCH3 mutation patients and 109 nongenetic ICH patients were included. The NOTCH3 mutation patients were more likely to have thalamic haemorrhage, a family history of stroke, and more severe CSVD neuroimaging markers. A five-point NOTCH3-ICH score was constructed and consisted of: history of stroke in siblings, thalamic haemorrhage, any deep nuclei lacunae, any hippocampal cerebral microbleed (CMB), and a thalamic CMB >5 (one point for each). A score ≥2 had a sensitivity of 88.9% and a specificity of 64.2% in identifying the NOTCH3 mutation. The NOTCH3 mutation patients had a higher risk of recurrent stroke (9.1 vs. 4.5 per 100 person-years; log-rank p = 0.03) during follow-up. CONCLUSION The patients with NOTCH3 mutation-related ICH had a higher burden of CMB in the hippocampus/thalamus and a higher recurrent stroke risk. The NOTCH3-ICH score may assist identifying genetic causes of ICH.
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Affiliation(s)
- Chih-Hao Chen
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yung-Tsai Chu
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ya-Fang Chen
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Tzu-Yu Ko
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yu-Wen Cheng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.,Department of Neurology, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan
| | - Ming-Jen Lee
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.,Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Pei-Lung Chen
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan
| | - Sung-Chun Tang
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Jiann-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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Li L, Murthy SB. Cardiovascular Events After Intracerebral Hemorrhage. Stroke 2022; 53:2131-2141. [DOI: 10.1161/strokeaha.122.036884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cardiovascular events after primary intracerebral hemorrhage (ICH) have emerged as a leading cause of poor functional outcomes and mortality during the long-term recovery after an ICH. These events encompass arterial ischemic events such as ischemic stroke and myocardial infarction, arterial hemorrhagic events that include recurrent ICH, and venous thrombotic events such as venous thromboembolism. The purpose of this review is to summarize the cardiovascular complications after ICH, epidemiology and associated risk factors, and their impact on ICH outcomes. Additionally, we will highlight possible pathophysiological mechanisms to explain the short- and long-term increased risks of ischemic and hemorrhagic events after ICH. Finally, we will highlight potential secondary stroke and venous thrombotic prevention strategies often not considered after ICH, balanced against the risk of ICH recurrence.
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Affiliation(s)
- Linxin Li
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom (L.L.)
| | - Santosh B. Murthy
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, NY (S.B.M.)
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11
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Qiao Y, Sun Y, Guo J, Chen Y, Hou W, Zhang J, Peng D. Disrupted White Matter Integrity and Cognitive Functions in Amyloid-β Positive Alzheimer's Disease with Concomitant Lobar Cerebral Microbleeds. J Alzheimers Dis 2021; 85:369-380. [PMID: 34842192 DOI: 10.3233/jad-215251] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Lobar cerebral microbleeds (CMBs), which can impair white matter (WM), are often concomitant with definite Alzheimer's disease (AD). OBJECTIVE To explore the features of cognitive impairments and WM disruptions due to lobar CMBs in patients with AD. METHODS There were 310 participants who underwent Florbetapir F18 (AV45) amyloid PET and susceptibility-weighted imaging. Participants with cognitive impairment and amyloid-β positive (ADCI) were included into three groups: ADCI without CMBs, with strictly lobar CMBs (SL-CMBs), and with mixed CMBs (M-CMBs). Tract-based spatial statistics were performed to detect the group differences in WM integrity. RESULTS There were 82 patients and 29 healthy controls finally included. A decreasing tendency in memory and executive performance can be found among HCs > no CMBs (n = 16) >SL-CMBs (n = 41) >M-CMBs (n = 25) group. Compared to no CMBs, M-CMBs group had significantly decreased fractional anisotropy in left anterior thalamic radiation (ATR), forceps major, forceps minor and inferior longitudinal fasciculus, bilateral inferior fronto-occipital fasciculus (IFOF), and superior longitudinal fasciculus. M-CMBs group also had lower fractional anisotropy in left ATR, IFOF, uncinate fasciculus, and forceps minor compared with SL-CMBs. Furthermore, analysis of Pearson correlation indicated damages in discrepant WMs were positively associated with impairment of memory, executive function, and attention. CONCLUSION This study showed lobar CMBs had intensively aggravated cognitive impairments associated with extensive WM damages in definite AD. These findings highlight that lobar CMBs play an important role in AD progression and need to be taken into consideration for the early detection of AD.
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Affiliation(s)
- Yanan Qiao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Yu Sun
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Jing Guo
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Wenjie Hou
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Junying Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Dantao Peng
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
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