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Wada S, Yoshimura S, Toyoda K, Nakai M, Sasahara Y, Miwa K, Koge J, Ishigami A, Shiozawa M, Ogasawara K, Kitazono T, Nogawa S, Iwanaga Y, Miyamoto Y, Minematsu K, Koga M. Characteristics and outcomes of unknown onset stroke: The Japan Stroke Data Bank. J Neurol Sci 2023; 453:120798. [PMID: 37729754 DOI: 10.1016/j.jns.2023.120798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 08/14/2023] [Accepted: 09/06/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND Clinical outcomes of unknown onset stroke (UOS) are influenced by the enlargement of the therapeutic time window for reperfusion therapy. This study aimed to investigate and describe the characteristics and clinical outcomes of patients with UOS. METHODS Patients with acute ischemic stroke (AIS) who were admitted within 24 h of their last known well time, from January 2017 to December 2020, were included. Data were obtained from a long-lasting nationwide hospital-based multicenter prospective registry: the Japan Stroke Data Bank. The co-primary outcomes were the National Institutes of Stroke Scale (NIHSS) scores on admission and unfavorable outcomes at discharge, corresponding to modified Rankin Scale (mRS) scores of 3-6. RESULTS Overall, 26,976 patients with AIS were investigated. Patients with UOS (N = 5783, 78 ± 12 years of age) were older than patients with known onset stroke (KOS) (N = 21,193, 75 ± 13 years of age). Age, female sex, higher premorbid mRS scores, atrial fibrillation, and congestive heart failure were associated with UOS in multivariate analysis. UOS was associated with higher NIHSS scores (median = 8 [interquartile range [IQR]: 3-19] vs. 4 [1-10], adjusted incidence rate ratio = 1.37 [95% CI: 1.35-1.38]) and unfavorable outcomes (52.1 vs. 33.6%, adjusted odds ratio = 1.27 [1.14-1.40]). Intergroup differences in unfavorable outcomes were attenuated among females (1.12 [0.95-1.32] vs. males 1.38 [1.21-1.56], P = 0.040) and in the subgroup that received reperfusion therapy (1.10 [0.92-1.33] vs. those who did not receive therapy 1.23 [1.08-1.39], P = 0.012). CONCLUSIONS UOS was associated with unfavorable outcomes but to a lesser degree among females and patients receiving reperfusion therapy.
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Affiliation(s)
- Shinichi Wada
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Sohei Yoshimura
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan.
| | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Michikazu Nakai
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yusuke Sasahara
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kaori Miwa
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Junpei Koge
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Akiko Ishigami
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Masayuki Shiozawa
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kuniaki Ogasawara
- Department of Neurosurgery, Iwate Medical University Hospital, Yahaba, Iwate, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shigeru Nogawa
- Department of Neurology, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan
| | - Yoshitaka Iwanaga
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yoshihiro Miyamoto
- Department of Medical and Health Information Management, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | | | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
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Søyland MH, Tveiten A, Eltoft A, Øygarden H, Varmdal T, Indredavik B, Mathiesen EB. Wake-up stroke and unknown-onset stroke; occurrence and characteristics from the nationwide Norwegian Stroke Register. Eur Stroke J 2022; 7:143-150. [PMID: 35647309 PMCID: PMC9134780 DOI: 10.1177/23969873221089800] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 03/09/2022] [Indexed: 09/17/2023] Open
Abstract
Introduction Population-based knowledge of the characteristics of wake-up stroke and unknown-onset stroke is limited. We compared occurrence and characteristics of ischaemic and haemorrhagic wake-up stroke, unknown-onset stroke and known-onset stroke in a nationwide register-based study. Patients and methods We included patients registered in the Norwegian Stroke Register from 2012 through 2019. Age, sex, risk factors, clinical characteristics, acute stroke treatment and discharge destination were compared according to stroke type and time of onset. Results Of the 60,320 patients included, 11,451 (19%) had wake-up stroke, 11,098 (18.4%) had unknown time of onset and 37,771 (62.6%) had known symptom onset. The proportion of haemorrhagic stroke was lower among wake-up stroke patients (1107/11,451, 9.7%, 95% CI: 9.1-10.2) than for known-onset stroke (5230/37,771, 13.8%, 95% CI: 13.5-14.2) and for unknown-onset stroke (1850/11,098, 16.7%, 95% CI: 16.0-17.4). Mild stroke (NIHSS <5) was more frequent in ischaemic wake-up stroke (5364/8308, 64.6%, 95% CI: 63.5-65.5) than in known-onset (16,417/26,746, 61.4%, 95% CI: 60.8-62.0) and unknown-onset stroke (3242/5853, 55.4%, 95% CI: 54.1-56.7), while baseline characteristics were otherwise similar to known-onset stroke. Unknown-onset stroke patients were more often female, lived alone and had more severe strokes compared to wake-up stroke and known-onset stroke patients. Unknown-onset stroke patients were more often in need of community-based health care on discharge and had a higher in-hospital mortality. Discussion and conclusions Ischaemic wake-up strokes shared baseline characteristics with known-onset strokes, but tended to be milder. Ischaemic unknown-onset stroke patients differed significantly from wake-up stroke, emphasising the importance of considering them as separate entities.
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Affiliation(s)
- Mary-Helen Søyland
- Department of Neurology, Hospital of
Southern Norway, Kristiansand, Norway
- Department of Clinical Medicine, UiT
The Arctic University of Norway, Tromsø, Norway
| | - Arnstein Tveiten
- Department of Neurology, Hospital of
Southern Norway, Kristiansand, Norway
| | - Agnethe Eltoft
- Department of Clinical Medicine, UiT
The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, University
Hospital of North Norway, Tromsø, Norway
| | - Halvor Øygarden
- Department of Neurology, Hospital of
Southern Norway, Kristiansand, Norway
- University of Agder, Kristiansand,
Norway
| | - Torunn Varmdal
- Norwegian University of Science and
Technology, Trondheim, Norway
| | - Bent Indredavik
- Norwegian University of Science and
Technology, Trondheim, Norway
- Department of Medicine, St. Olav’s
Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Ellisiv B Mathiesen
- Department of Clinical Medicine, UiT
The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, University
Hospital of North Norway, Tromsø, Norway
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Dillmann M, Bonnet L, Vuillier F, Moulin T, Biondi A, Charbonnier G. Factors That Influence Susceptibility Vessel Sign in Patients With Acute Stroke Referred for Mechanical Thrombectomy. Front Neurol 2022; 13:893060. [PMID: 35645960 PMCID: PMC9130602 DOI: 10.3389/fneur.2022.893060] [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] [Received: 03/09/2022] [Accepted: 04/14/2022] [Indexed: 11/23/2022] Open
Abstract
Background and Purpose The presence of a Susceptibility Vessel Sign (SVS) in the acute phase of proximal occlusion ischemic stroke indicates the presence of deoxyhemoglobin in the thrombus. Thrombi composition changes over time. The aim of this study was to investigate whether the absence of SVS is associated with a shorter symptom onset to imaging time. Methods We retrospectively analyzed all patients referred for mechanical thrombectomy at Besançon University Hospital between 1 January 2015 and 31 December 2020 for whom readable T2*-weighted imaging was available. We compared patient characteristics according to the presence or absence of an SVS. We also studied the subgroup for whom the exact symptom onset time was known. We performed a univariate statistical analysis, then a multivariate analysis on the variables that were statistically significant in the univariate analysis. Results Of the 389 patients included, 309 (79.4%) were SVS+. We found no significant relationship between SVS– and the time between symptom onset and imaging in the whole cohort. In the multivariate analysis, SVS– was associated with anticoagulant treatment (p < 0.01), and SVS+ with age (p = 0.023) and carotid terminus occlusion (p = 0.042). In the known symptom onset subgroup, SVS– was significantly associated with a shorter symptom onset -imaging time (p < 0.001), and this was confirmed in the multivariate analysis (p = 0.011; OR 0.911; 95% CI [0.844; 0.972]). Conclusion In the acute phase of proximal occlusion ischemic stroke, absence of SVS was associated with a shorter symptom onset–imaging time for patients with a known symptom onset time.
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Affiliation(s)
- Manon Dillmann
- Neurology Department, University Hospital Centre Besancon, Besançon, France
- *Correspondence: Manon Dillmann
| | - Louise Bonnet
- Neurology Department, University Hospital Centre Besancon, Besançon, France
| | - Fabrice Vuillier
- Neurology Department, University Hospital Centre Besancon, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR 481, Université de Franche-Comte UFR Sciences Médicales et Pharmaceutiques, Besançon, France
| | - Thierry Moulin
- Neurology Department, University Hospital Centre Besancon, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR 481, Université de Franche-Comte UFR Sciences Médicales et Pharmaceutiques, Besançon, France
| | - Alessandra Biondi
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR 481, Université de Franche-Comte UFR Sciences Médicales et Pharmaceutiques, Besançon, France
- Interventional Neuroradiology Department, University Hospital Centre Besancon, Besançon, France
| | - Guillaume Charbonnier
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR 481, Université de Franche-Comte UFR Sciences Médicales et Pharmaceutiques, Besançon, France
- Interventional Neuroradiology Department, University Hospital Centre Besancon, Besançon, France
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