Circadian rhythm and aneurysmal subarachnoid hemorrhage: Is there an alarm clock for the rupture timing?

Background and purpose Data on the temporal distribution of the bleeding time of intracranial aneurysms are limited to a few small studies. With this study, the aim was to analyze time patterns of the occurrence of aneurysmal subarachnoid hemorrhage (SAH), particularly focusing on the impact of pati...

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Veröffentlicht in:European journal of neurology 2023-07, Vol.30 (7), p.2070-2078
Hauptverfasser: Gümüs, Meltem, Said, Maryam, Chihi, Mehdi, Dinger, Thiemo F., Rodemerk, Jan, Frank, Benedikt, Oppong, Marvin Darkwah, Dammann, Philipp, Wrede, Karsten H., Forsting, Michael, Sure, Ulrich, Jabbarli, Ramazan
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container_end_page 2078
container_issue 7
container_start_page 2070
container_title European journal of neurology
container_volume 30
creator Gümüs, Meltem
Said, Maryam
Chihi, Mehdi
Dinger, Thiemo F.
Rodemerk, Jan
Frank, Benedikt
Oppong, Marvin Darkwah
Dammann, Philipp
Wrede, Karsten H.
Forsting, Michael
Sure, Ulrich
Jabbarli, Ramazan
description Background and purpose Data on the temporal distribution of the bleeding time of intracranial aneurysms are limited to a few small studies. With this study, the aim was to analyze time patterns of the occurrence of aneurysmal subarachnoid hemorrhage (SAH), particularly focusing on the impact of patients' socio‐demographic and clinical characteristics on the ictus timing. Methods The study is based on an institutional SAH cohort with 782 consecutive cases treated between January 2003 and June 2016. Data were collected on the ictus time, patients' socio‐demographic and clinical characteristics, as well as the initial severity and outcome. Univariate and multivariate analyses were performed on the bleeding timeline. Results There were two peaks in the circadian rhythm of SAH, one in the morning (7–9 a.m.) and the other in the evening (7–9 p.m.). The strongest alterations in the bleeding time patterns were observed for weekdays, patients' age, sex and ethnicity. Individuals with chronic alcohol and painkiller consumption showed a higher bleeding peak between 1 and 3 p.m. Finally, the bleeding time showed no impact on the severity, clinically relevant complications and the outcome of SAH patients. Conclusions This study is one of the very few detailed analyses of the impact of specific socio‐demographic, ethnic, behavioral and clinical characteristics on the rupture timing of aneurysms. Our results point to the possible relevance of the circadian rhythm for the rupture event, and therefore might be useful in the elaboration of preventive measures against aneurysm rupture.
doi_str_mv 10.1111/ene.15804
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With this study, the aim was to analyze time patterns of the occurrence of aneurysmal subarachnoid hemorrhage (SAH), particularly focusing on the impact of patients' socio‐demographic and clinical characteristics on the ictus timing. Methods The study is based on an institutional SAH cohort with 782 consecutive cases treated between January 2003 and June 2016. Data were collected on the ictus time, patients' socio‐demographic and clinical characteristics, as well as the initial severity and outcome. Univariate and multivariate analyses were performed on the bleeding timeline. Results There were two peaks in the circadian rhythm of SAH, one in the morning (7–9 a.m.) and the other in the evening (7–9 p.m.). The strongest alterations in the bleeding time patterns were observed for weekdays, patients' age, sex and ethnicity. Individuals with chronic alcohol and painkiller consumption showed a higher bleeding peak between 1 and 3 p.m. Finally, the bleeding time showed no impact on the severity, clinically relevant complications and the outcome of SAH patients. Conclusions This study is one of the very few detailed analyses of the impact of specific socio‐demographic, ethnic, behavioral and clinical characteristics on the rupture timing of aneurysms. Our results point to the possible relevance of the circadian rhythm for the rupture event, and therefore might be useful in the elaboration of preventive measures against aneurysm rupture.</description><identifier>ISSN: 1351-5101</identifier><identifier>EISSN: 1468-1331</identifier><identifier>DOI: 10.1111/ene.15804</identifier><identifier>PMID: 36975760</identifier><language>eng</language><publisher>England: John Wiley &amp; Sons, Inc</publisher><subject>Analgesics ; Aneurysm ; Aneurysms ; Bleeding ; bleeding time ; Circadian rhythm ; Circadian rhythms ; Complications ; Demographics ; Demography ; Hemorrhage ; Impact analysis ; intracranial aneurysms ; Minority &amp; ethnic groups ; Rupture ; Stroke ; Subarachnoid hemorrhage ; Temporal distribution</subject><ispartof>European journal of neurology, 2023-07, Vol.30 (7), p.2070-2078</ispartof><rights>2023 The Authors. published by John Wiley &amp; Sons Ltd on behalf of European Academy of Neurology.</rights><rights>2023 The Authors. European Journal of Neurology published by John Wiley &amp; Sons Ltd on behalf of European Academy of Neurology.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). 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With this study, the aim was to analyze time patterns of the occurrence of aneurysmal subarachnoid hemorrhage (SAH), particularly focusing on the impact of patients' socio‐demographic and clinical characteristics on the ictus timing. Methods The study is based on an institutional SAH cohort with 782 consecutive cases treated between January 2003 and June 2016. Data were collected on the ictus time, patients' socio‐demographic and clinical characteristics, as well as the initial severity and outcome. Univariate and multivariate analyses were performed on the bleeding timeline. Results There were two peaks in the circadian rhythm of SAH, one in the morning (7–9 a.m.) and the other in the evening (7–9 p.m.). The strongest alterations in the bleeding time patterns were observed for weekdays, patients' age, sex and ethnicity. Individuals with chronic alcohol and painkiller consumption showed a higher bleeding peak between 1 and 3 p.m. Finally, the bleeding time showed no impact on the severity, clinically relevant complications and the outcome of SAH patients. Conclusions This study is one of the very few detailed analyses of the impact of specific socio‐demographic, ethnic, behavioral and clinical characteristics on the rupture timing of aneurysms. 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With this study, the aim was to analyze time patterns of the occurrence of aneurysmal subarachnoid hemorrhage (SAH), particularly focusing on the impact of patients' socio‐demographic and clinical characteristics on the ictus timing. Methods The study is based on an institutional SAH cohort with 782 consecutive cases treated between January 2003 and June 2016. Data were collected on the ictus time, patients' socio‐demographic and clinical characteristics, as well as the initial severity and outcome. Univariate and multivariate analyses were performed on the bleeding timeline. Results There were two peaks in the circadian rhythm of SAH, one in the morning (7–9 a.m.) and the other in the evening (7–9 p.m.). The strongest alterations in the bleeding time patterns were observed for weekdays, patients' age, sex and ethnicity. Individuals with chronic alcohol and painkiller consumption showed a higher bleeding peak between 1 and 3 p.m. Finally, the bleeding time showed no impact on the severity, clinically relevant complications and the outcome of SAH patients. Conclusions This study is one of the very few detailed analyses of the impact of specific socio‐demographic, ethnic, behavioral and clinical characteristics on the rupture timing of aneurysms. 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source Wiley Online Library Journals Frontfile Complete
subjects Analgesics
Aneurysm
Aneurysms
Bleeding
bleeding time
Circadian rhythm
Circadian rhythms
Complications
Demographics
Demography
Hemorrhage
Impact analysis
intracranial aneurysms
Minority & ethnic groups
Rupture
Stroke
Subarachnoid hemorrhage
Temporal distribution
title Circadian rhythm and aneurysmal subarachnoid hemorrhage: Is there an alarm clock for the rupture timing?
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