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Ecochard R, Leiva R, Bouchard TP, Van Lamsweerde A, Pearson JT, Stanford JB, Gronfier C. The menstrual cycle is influenced by weekly and lunar rhythms. Fertil Steril 2024:S0015-0282(23)02076-9. [PMID: 38206269 DOI: 10.1016/j.fertnstert.2023.12.009] [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: 07/27/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVE To study whether the menstrual cycle has a circaseptan (7 days) rhythm and whether it is associated with the lunar cycle (also defined as the synodic month, it is the cycle of the phases of the Moon as seen from Earth, averaging 29.5 days in length). DESIGN Cross-sectional study. SUBJECTS A total of 35,940 European and North American women aged 18-40 years. EXPOSURE Data were collected in real-life conditions. INTERVENTION No intervention was performed. MAIN OUTCOME MEASURE The onset of menstruation was assessed in prospectively measured menstrual cycles (311,064 cycles) over 3 full years (2019-2021). Associations were calculated between the onset of menstruation and the day of the week, and between the onset of menstruation and the lunar phase. RESULTS In this large data set, a circaseptan (7-day) rhythmicity of menstruation was observed, with a peak (acrophase) of menstrual onset on Thursdays and Fridays. This circaseptan rhythm was observed in every age group, in every phase of the lunar cycle, and in all seasons. This feature was most pronounced for cycle durations between 27 and 29 days. In winter, the circaseptan rhythm was found in cycles of 27-29 days, but not in other cycle lengths. A circalunar rhythm was also statistically significant, but not as clearly defined as the circaseptan rhythm. The peak (acrophase) of the circalunar rhythm of menstrual onset varied according to the season. In addition, there was a small but statistically significant interaction between the circaseptan rhythm and the lunar cycle. CONCLUSION Although relatively small in amplitude, the weekly rhythm of menstruation was statistically significant. Menstruation occurs more often on Thursdays and Fridays than on other days of the week. This is particularly true for women whose cycles last between 27 and 29 days. Circalunar rhythmicity was also statistically significant. However, it is less pronounced than the weekly rhythm.
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Affiliation(s)
- René Ecochard
- Pôle de Santé Publique, Service de Biostatistique, Lyon, France; Laboratoire Biostatistique Santé, Université Claude Bernard Lyon I, Lyon, France
| | - Rene Leiva
- Bruyère Research Institute, CT Lamont Primary Health Care Research Centre, Ottawa, Ontario, Canada; Department of Family Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Thomas P Bouchard
- Department of Family Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | | | - Joseph B Stanford
- Office of Cooperative Reproductive Health, Division of Public Health Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah
| | - Claude Gronfier
- Centre de Recherche en Neurosciences de Lyon (CRNL), Neurocampus, Université de Lyon, Lyon, France.
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Park GWV, Cho SI. Monday peak is unique to suicide? Comparison of weekly distribution by causes of death using national representative cohort database. Suicide Life Threat Behav 2023; 53:613-627. [PMID: 37166224 DOI: 10.1111/sltb.12968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/16/2023] [Accepted: 04/15/2023] [Indexed: 05/12/2023]
Abstract
INTRODUCTION The excess suicide mortality on Monday was reported in numerous studies. However, it is uncertain that the uneven weekly distribution of deaths is observed among suicide, or common among various causes of death. METHODS Weekly distributions of suicide and other causes of death from 2012 to 2017 in South Korea were compared. Logistic regression models were fitted to investigate the association between causes of death and day-of-the-week effects. We also fitted conditional logistic regression models after age and gender matching. RESULTS A total of 1,622,213 deaths, including 80,492 suicide decedents, were analyzed. A total of 16.0% of suicide deaths occurred on Monday, whereas 12.4% on Saturday and 13.0% on Sunday. Suicide decedents were more likely to die on Monday than other causes of deaths after controlling sociodemographic factors in unmatched data. However, there was no evidence of excess suicide deaths on Mondays than other days in contrast to matched death controls. CONCLUSION While the increase in mortality on Mondays was not unique to suicide, our findings have suicide prevention implications. Mental health practitioners should consider providing additional mental health resources on earlier working days. Workplace mental health programs to reduce psychological burdens of employees could help to prevent suicide during working days.
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Affiliation(s)
- Gun Woo Victor Park
- Division of Public Health, Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Sung-Il Cho
- Division of Public Health, Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea
- Institute for Health and Environment, Seoul National University, Seoul, South Korea
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Gregg NM, Pal Attia T, Nasseri M, Joseph B, Karoly P, Cui J, Stirling RE, Viana PF, Richner TJ, Nurse ES, Schulze-Bonhage A, Cook MJ, Worrell GA, Richardson MP, Freestone DR, Brinkmann BH. Seizure occurrence is linked to multiday cycles in diverse physiological signals. Epilepsia 2023; 64:1627-1639. [PMID: 37060170 PMCID: PMC10733995 DOI: 10.1111/epi.17607] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/03/2023] [Accepted: 04/03/2023] [Indexed: 04/16/2023]
Abstract
OBJECTIVE The factors that influence seizure timing are poorly understood, and seizure unpredictability remains a major cause of disability. Work in chronobiology has shown that cyclical physiological phenomena are ubiquitous, with daily and multiday cycles evident in immune, endocrine, metabolic, neurological, and cardiovascular function. Additionally, work with chronic brain recordings has identified that seizure risk is linked to daily and multiday cycles in brain activity. Here, we provide the first characterization of the relationships between the cyclical modulation of a diverse set of physiological signals, brain activity, and seizure timing. METHODS In this cohort study, 14 subjects underwent chronic ambulatory monitoring with a multimodal wrist-worn sensor (recording heart rate, accelerometry, electrodermal activity, and temperature) and an implanted responsive neurostimulation system (recording interictal epileptiform abnormalities and electrographic seizures). Wavelet and filter-Hilbert spectral analyses characterized circadian and multiday cycles in brain and wearable recordings. Circular statistics assessed electrographic seizure timing and cycles in physiology. RESULTS Ten subjects met inclusion criteria. The mean recording duration was 232 days. Seven subjects had reliable electroencephalographic seizure detections (mean = 76 seizures). Multiday cycles were present in all wearable device signals across all subjects. Seizure timing was phase locked to multiday cycles in five (temperature), four (heart rate, phasic electrodermal activity), and three (accelerometry, heart rate variability, tonic electrodermal activity) subjects. Notably, after regression of behavioral covariates from heart rate, six of seven subjects had seizure phase locking to the residual heart rate signal. SIGNIFICANCE Seizure timing is associated with daily and multiday cycles in multiple physiological processes. Chronic multimodal wearable device recordings can situate rare paroxysmal events, like seizures, within a broader chronobiology context of the individual. Wearable devices may advance the understanding of factors that influence seizure risk and enable personalized time-varying approaches to epilepsy care.
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Affiliation(s)
- Nicholas M Gregg
- Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Minnesota, Rochester, USA
| | - Tal Pal Attia
- Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Minnesota, Rochester, USA
| | - Mona Nasseri
- School of Engineering, University of North Florida, Florida, Jacksonville, USA
| | - Boney Joseph
- Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Minnesota, Rochester, USA
| | - Philippa Karoly
- Graeme Clark Institute for Biomedical Engineering, University of Melbourne, Victoria, Parkville, Australia
| | - Jie Cui
- Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Minnesota, Rochester, USA
| | - Rachel E Stirling
- Seer Medical, Victoria, Melbourne, Australia
- Department of Biomedical Engineering, University of Melbourne, Victoria, Melbourne, Australia
| | - Pedro F Viana
- School of Neuroscience, King's College London, London, UK
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Thomas J Richner
- Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Minnesota, Rochester, USA
| | - Ewan S Nurse
- Seer Medical, Victoria, Melbourne, Australia
- Department of Medicine, St. Vincent's Hospital Melbourne, University of Melbourne, Victoria, Fitzroy, Australia
| | | | - Mark J Cook
- Department of Medicine, St. Vincent's Hospital Melbourne, University of Melbourne, Victoria, Fitzroy, Australia
| | - Gregory A Worrell
- Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Minnesota, Rochester, USA
| | | | | | - Benjamin H Brinkmann
- Department of Neurology, Bioelectronics Neurophysiology and Engineering Laboratory, Mayo Clinic, Minnesota, Rochester, USA
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Shilovsky GA. Variability of Mortality: Additional Information on Mortality and Morbidity Curves under Normal and Pathological Conditions [Commentary on the Article by A. G. Malygin "Programmed Risks of Death in Male Patients with Diabetes" Published in Biochemistry (Moscow), vol. 86, pp. 1553-1562 (2021)]. BIOCHEMISTRY. BIOKHIMIIA 2022; 87:294-299. [PMID: 35526855 PMCID: PMC8916788 DOI: 10.1134/s0006297922030087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/23/2022] [Accepted: 02/23/2022] [Indexed: 11/23/2022]
Abstract
Analysis of demographic data indicates uneven distribution of mortality within a year, month, and even week time period. This is of great practical importance for the operation of medical institutions, including intensive care units, and makes it possible to calculate economic and labor requirements of medical institutions. All the above is especially relevant during the era of the COVID-19 pandemic. Malygin showed the presence of one to two fluctuations per week in the mortality of male patients with type 2 diabetes. The height of the peaks of such fluctuations is determined, as expected, by the regular parameter indicating their position on the axis of lifespan and random parameter reflecting adverse effects of external environmental factors on the body, as well as the extent of the periodically occurring sharp decrease in the nonspecific resistance. This article discusses results of recent research in the field of small (semi-weekly, weekly, monthly, and seasonal) fluctuations of mortality. Based on a large array of accumulated data, it can be concluded that the decrease in seasonal variability of mortality accompanies an increase in the life expectancy. Studying characteristics of mortality fluctuations makes it possible to move from investigating the impact of biorhythms (Master Clock) on the development of acute and chronic phenoptotic processes directly to studying the patterns of mortality rhythms themselves (rhythms of phenoptosis).
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Affiliation(s)
- Gregory A Shilovsky
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia.
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia
- Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, 127051, Russia
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Karoly PJ, Stirling RE, Freestone DR, Nurse ES, Maturana MI, Halliday AJ, Neal A, Gregg NM, Brinkmann BH, Richardson MP, La Gerche A, Grayden DB, D'Souza W, Cook MJ. Multiday cycles of heart rate are associated with seizure likelihood: An observational cohort study. EBioMedicine 2021; 72:103619. [PMID: 34649079 PMCID: PMC8517288 DOI: 10.1016/j.ebiom.2021.103619] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/23/2021] [Accepted: 09/23/2021] [Indexed: 11/30/2022] Open
Abstract
Background Circadian and multiday rhythms are found across many biological systems, including cardiology, endocrinology, neurology, and immunology. In people with epilepsy, epileptic brain activity and seizure occurrence have been found to follow circadian, weekly, and monthly rhythms. Understanding the relationship between these cycles of brain excitability and other physiological systems can provide new insight into the causes of multiday cycles. The brain-heart link has previously been considered in epilepsy research, with potential implications for seizure forecasting, therapy, and mortality (i.e., sudden unexpected death in epilepsy). Methods We report the results from a non-interventional, observational cohort study, Tracking Seizure Cycles. This study sought to examine multiday cycles of heart rate and seizures in adults with diagnosed uncontrolled epilepsy (N=31) and healthy adult controls (N=15) using wearable smartwatches and mobile seizure diaries over at least four months (M=12.0, SD=5.9; control M=10.6, SD=6.4). Cycles in heart rate were detected using a continuous wavelet transform. Relationships between heart rate cycles and seizure occurrence were measured from the distributions of seizure likelihood with respect to underlying cycle phase. Findings Heart rate cycles were found in all 46 participants (people with epilepsy and healthy controls), with circadian (N=46), about-weekly (N=25) and about-monthly (N=13) rhythms being the most prevalent. Of the participants with epilepsy, 19 people had at least 20 reported seizures, and 10 of these had seizures significantly phase locked to their multiday heart rate cycles. Interpretation Heart rate cycles showed similarities to multiday epileptic rhythms and may be comodulated with seizure likelihood. The relationship between heart rate and seizures is relevant for epilepsy therapy, including seizure forecasting, and may also have implications for cardiovascular disease. More broadly, understanding the link between multiday cycles in the heart and brain can shed new light on endogenous physiological rhythms in humans. Funding This research received funding from the Australian Government National Health and Medical Research Council (investigator grant 1178220), the Australian Government BioMedTech Horizons program, and the Epilepsy Foundation of America's ‘My Seizure Gauge’ grant.
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Affiliation(s)
- Philippa J Karoly
- Graeme Clark Institute for Biomedical Engineering, The University of Melbourne, Australia; Seer Medical, Australia.
| | - Rachel E Stirling
- Department of Biomedical Engineering, The University of Melbourne, Australia
| | | | - Ewan S Nurse
- Seer Medical, Australia; Departments of Medicine and Neurology, The University of Melbourne, St Vincent's Hospital, Melbourne, Australia
| | - Matias I Maturana
- Seer Medical, Australia; Departments of Medicine and Neurology, The University of Melbourne, St Vincent's Hospital, Melbourne, Australia
| | - Amy J Halliday
- Departments of Medicine and Neurology, The University of Melbourne, St Vincent's Hospital, Melbourne, Australia
| | - Andrew Neal
- Departments of Medicine and Neurology, The University of Melbourne, St Vincent's Hospital, Melbourne, Australia
| | - Nicholas M Gregg
- Bioelectronics Neurophysiology and Engineering Lab, Department of Neurology, Mayo Clinic, Rochester, MN
| | - Benjamin H Brinkmann
- Bioelectronics Neurophysiology and Engineering Lab, Department of Neurology, Mayo Clinic, Rochester, MN
| | | | - Andre La Gerche
- Sports Cardiology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia
| | - David B Grayden
- Department of Biomedical Engineering, The University of Melbourne, Australia
| | - Wendyl D'Souza
- Departments of Medicine and Neurology, The University of Melbourne, St Vincent's Hospital, Melbourne, Australia
| | - Mark J Cook
- Graeme Clark Institute for Biomedical Engineering, The University of Melbourne, Australia; Departments of Medicine and Neurology, The University of Melbourne, St Vincent's Hospital, Melbourne, Australia
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Karoly PJ, Freestone DR, Eden D, Stirling RE, Li L, Vianna PF, Maturana MI, D'Souza WJ, Cook MJ, Richardson MP, Brinkmann BH, Nurse ES. Epileptic Seizure Cycles: Six Common Clinical Misconceptions. Front Neurol 2021; 12:720328. [PMID: 34421812 PMCID: PMC8371239 DOI: 10.3389/fneur.2021.720328] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 07/08/2021] [Indexed: 11/19/2022] Open
Affiliation(s)
- Philippa J. Karoly
- Seer Medical, Melbourne, VIC, Australia
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia
| | | | | | - Rachel E. Stirling
- Seer Medical, Melbourne, VIC, Australia
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia
| | - Lyra Li
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia
| | - Pedro F. Vianna
- School of Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Matias I. Maturana
- Seer Medical, Melbourne, VIC, Australia
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, Australia
| | - Wendyl J. D'Souza
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, Australia
| | - Mark J. Cook
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, Australia
| | - Mark P. Richardson
- School of Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Benjamin H. Brinkmann
- Bioelectronics Neurophysiology and Engineering Lab, Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Ewan S. Nurse
- Seer Medical, Melbourne, VIC, Australia
- Department of Medicine, St Vincent's Hospital Melbourne, The University of Melbourne, Melbourne, VIC, Australia
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Daytime variation does not impact outcome of cardiac surgery: Results from a diverse, multi-institutional cardiac surgery network. J Thorac Cardiovasc Surg 2021; 162:56-67.e44. [DOI: 10.1016/j.jtcvs.2019.11.131] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 11/25/2019] [Accepted: 11/26/2019] [Indexed: 12/13/2022]
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8
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Brooks C, Shaafi Kabiri N, Bhangu J, Cai X, Pickering E, Erb MK, Auerbach S, Bonato P, Moore TL, Mortazavi F, Thomas K. The impact of chronotype on circadian rest-activity rhythm and sleep characteristics across the week. Chronobiol Int 2021; 38:1575-1590. [PMID: 34134581 DOI: 10.1080/07420528.2021.1937197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Circadian rhythms are maintained by a complex "system of systems" that continuously coordinates biological processes with each other and the environment. Although humans predominantly entrain to solar time, individual persons vary in their precise behavioral timing due to endogenous and exogenous factors. Endogenous differences in the timing of individual circadian rhythms relative to a common environmental cue are known as chronotypes, ranging from earlier than average (Morningness) to later than average (Eveningness). Furthermore, individual behavior is often constrained by social constructs such as the 7-day week, and the "sociogenic" impact our social calendar has on our behavioral rhythms is likely modified by chronotype. Our aim in this study was to identify and characterize differences in sleep and rest-activity rhythms (RAR) between weekends and weekdays and between-chronotypes. Male volunteers (n = 24, mean age = 23.46 y) were actigraphically monitored for 4 weeks to derive objective behavioral measures of sleep and RARs. Chronotype was assessed through self-report on the Morningness-Eveningness Questionnaire. Sleep characteristics were derived using Actiware; daily rest-activity rhythms were modeled using a basic 3-parameter cosinor function. We observed that both Eveningness and Morningness Chronotypes were more active and slept later on the weekends than on weekdays. Significant between-chronotype differences in sleep timing and duration were observed within individual days of the week, especially during transitions between weekends and the workweek. Moreover, chronotypes significantly varied in their weekly rhythms: e.g. Morningness Chronotypes generally shifted their sleep duration, timing and quality across work/rest transitions quicker than Eveningness Chronotypes. Although our results should be interpreted with caution due to the limitations of our cosinor model and a homogenous cohort, they reinforce a growing body of evidence that day of the week, chronotype and their interactions must be accounted for in observational studies of human behavior, especially when circadian rhythms are of interest.
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Affiliation(s)
- Chris Brooks
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Nina Shaafi Kabiri
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Jaspreet Bhangu
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Xuemei Cai
- Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | - Eve Pickering
- Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | | | - Sanford Auerbach
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Paolo Bonato
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
| | - Tara L Moore
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts, USA.,Center for Systems Neuroscience, Boston University, Boston, Massachusetts, USA
| | - Farzad Mortazavi
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Kevin Thomas
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts, USA
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Rigatelli G, Zuin M. Occurence of left main occlusion on Tuesday: Chronobiology of acute myocardial infarction due to left main disease. J Saudi Heart Assoc 2020; 32:12-16. [PMID: 33154886 PMCID: PMC7640604 DOI: 10.37616/2212-5043.1003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 10/23/2019] [Accepted: 10/24/2019] [Indexed: 11/20/2022] Open
Abstract
Objectives The existence of a “weekend effect” for onset of acute myocardial infarction (AMI) has been suggested in the past, but the relation with the culprit vessel has not been investigated. MI due to left main coronary artery lesion represents a particularly serious life-threatening condition. Our study was aimed to assess the chronobiology of admission to the emergency department for AMI considered to be induced by a left main culprit lesion. Methods We retrospectively reviewed patients who experienced an AMI due to a left main culprit lesion between January 1, 2008 and January 1, 2018 stratifying them according to the day of admission, on the basis of the symptom onset time; the 30-day cardiovascular mortality was also analyzed on the basis of the time of symptom onset. Results Out of 1789 patients with AMI, 130 (7.2%, 104 males and 26 females, mean age 74.5 ± 8.1 years) had left main disease as the culprit lesion. Tuesday was significantly over-represented as the admission day (p < 0.001 for Tuesday vs. other days; p = 0.009 for Tuesday vs. Sunday, respectively). The 30-day cardiovascular survival was not different between patients admitted on Tuesday and those admitted on remaining days (Log-rank, Mantel Cox, p = 0.43; Chi-square = 0.611). A significant difference was noted in patients with AMI on Sunday versus remaining days (Log-rank, Mantel-Cox, p = 0.005; Chi-square = 7.96). The diameter of the left main artery was larger in patients admitted on Tuesdays than on Sundays (p < 0.01). Conclusion The relation between AMI onset and the day of the week is confirmed by our study, which also suggests that in case of a left main lesion, some delay of the weekend effect might be expected.
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Affiliation(s)
- Gianluca Rigatelli
- Cardioavascular Diagnosis and Endoluminal Interventions, Rovigo General Hospital, Rovigo, Italy
| | - Marco Zuin
- Section of Internal and Cardiopulmonary Medicine, Faculty of Medicine, University of Ferrara, Ferrara, Italy
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Bernard C. Circadian/multidien Molecular Oscillations and Rhythmicity of Epilepsy (MORE). Epilepsia 2020; 62 Suppl 1:S49-S68. [PMID: 33063860 DOI: 10.1111/epi.16716] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 09/15/2020] [Accepted: 09/15/2020] [Indexed: 12/26/2022]
Abstract
The occurrence of seizures at specific times of the day has been consistently observed for centuries in individuals with epilepsy. Electrophysiological recordings provide evidence that seizures have a higher probability of occurring at a given time during the night and day cycle in individuals with epilepsy here referred to as the seizure rush hour. Which mechanisms underlie such circadian rhythmicity of seizures? Why don't they occur every day at the same time? Which mechanisms may underlie their occurrence outside the rush hour? In this commentary, I present a hypothesis: MORE - Molecular Oscillations and Rhythmicity of Epilepsy, a conceptual framework to study and understand the mechanisms underlying the circadian rhythmicity of seizures and their probabilistic nature. The core of the hypothesis is the existence of ~24-hour oscillations of gene and protein expression throughout the body in different cells and organs. The orchestrated molecular oscillations control the rhythmicity of numerous body events, such as feeding and sleep. The concept developed here is that molecular oscillations may favor seizure genesis at preferred times, generating the condition for a seizure rush hour. However, the condition is not sufficient, as other factors are necessary for a seizure to occur. Studying these molecular oscillations may help us understand seizure genesis mechanisms and find new therapeutic targets and predictive biomarkers. The MORE hypothesis can be generalized to comorbidities and the slower multidien (week/month period) rhythmicity of seizures, a phenomenon addressed in another article in this issue of Epilepsia.
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Affiliation(s)
- Christophe Bernard
- Inserm, INS, Institut de Neurosciences des Systèmes, Aix Marseille Univ, Marseille, France
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11
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Reiter RJ, Rosales-Corral S, Sharma R. Circadian disruption, melatonin rhythm perturbations and their contributions to chaotic physiology. Adv Med Sci 2020; 65:394-402. [PMID: 32763813 DOI: 10.1016/j.advms.2020.07.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 06/15/2020] [Accepted: 07/08/2020] [Indexed: 02/07/2023]
Abstract
The aim of this report is to summarize the data documenting the vital nature of well-regulated cellular and organismal circadian rhythms, which are also reflected in a stable melatonin cycle, in supporting optimal health. Cellular fluctuations in physiology exist in most cells of multicellular organisms with their stability relying on the prevailing light:dark cycle, since it regulates, via specialized intrinsically-photoreceptive retinal ganglion cells (ipRGC) and the retinohypothalamic tract, the master circadian oscillator, i.e., the suprachiasmatic nuclei (SCN). The output message of the SCN, as determined by the light:dark cycle, is transferred to peripheral oscillators, so-called slave cellular oscillators, directly via the autonomic nervous system with its limited distribution. and indirectly via the pineal-derived circulating melatonin rhythm, which contacts every cell. Via its regulatory effects on the neuroendocrine system, particularly the hypothalamo-pituitary-adrenal axis, the SCN also has a major influence on the adrenal glucocorticoid rhythm which impacts neurological diseases and psychological behaviors. Moreover, the SCN regulates the circadian production and secretion of melatonin. When the central circadian oscillator is disturbed, such as by light at night, it passes misinformation to all organs in the body. When this occurs the physiology of cells becomes altered and normal cellular functions are compromised. This physiological upheaval is a precursor to pathologies. The deterioration of the SCN/pineal network is often a normal consequence of aging and its related diseases, but in today's societies where manufactured light is becoming progressively more common worldwide, the associated pathologies may also be occurring at an earlier age.
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Affiliation(s)
- Russel J Reiter
- Department of Cell Systems and Anatomy, UT Health, San Antonio, TX, USA.
| | - Sergio Rosales-Corral
- Centro de Investigacion Biomedica de Occidente, Instituto Mexicano del Seguro Social, Guadalajara, Mexico
| | - Ramaswamy Sharma
- Department of Cell Systems and Anatomy, UT Health, San Antonio, TX, USA
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Pavlíček T, Rehak P, Král P. Oscillatory Dynamics in Infectivity and Death Rates of COVID-19. mSystems 2020; 5:e00700-20. [PMID: 32817387 PMCID: PMC7438025 DOI: 10.1128/msystems.00700-20] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 08/05/2020] [Indexed: 01/20/2023] Open
Abstract
The analysis of systematically collected data for coronavirus disease 2019 (COVID-19) infectivity and death rates has revealed, in many countries around the world, a typical oscillatory pattern with a 7-day (circaseptan) period. Additionally, in some countries, 3.5-day (hemicircaseptan) and 14-day periodicities have also been observed. Interestingly, the 7-day infectivity and death rate oscillations are almost in phase, showing local maxima on Thursdays/Fridays and local minima on Sundays/Mondays. These observations are in stark contrast to a known pattern correlating the death rate with the reduced medical staff in hospitals on the weekends. While we cannot exclude the possibility that a significant portion of the observed oscillations is associated with the reporting of the individual cases, other reasons might contribute at least partly to these data. One possible hypothesis addressing these observations is that they reflect gradually increasing stress with the progressing week, which can trigger the higher death rates on Thursdays/Fridays. Moreover, assuming the weekends provide the likely time for new infections, the maximum number of new cases might fall, again, on Thursdays/Fridays. These observations deserve further study to provide a better understanding of COVID-19 dynamics.IMPORTANCE The infectivity and death rates for COVID-19 have been observed in many countries around the world as well as in the collective data of the whole world. These oscillations show distinct circaseptan periodicity, which could be associated with numerous biological reasons as well as with improper reporting of the data collected. Since very different results are observed in different countries and even continents, such as Sweden (very significant oscillations) or India (almost no oscillations), these data provide a very important message about different conditions under which the disease is spread or is reported, which, in turn, could serve as guidance tools in future epidemics. It is necessary that follow-up studies track the observed differences and fully reliably address their origins.
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Affiliation(s)
- Tomáš Pavlíček
- Institute of Evolution, University of Haifa, Mt. Carmel, Israel
| | - Pavel Rehak
- Department of Chemistry, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Petr Král
- Department of Chemistry, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Physics, Biopharmaceutical Sciences, and Chemical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
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Cihan E, Devinsky O, Hesdorffer DC, Brandsoy M, Li L, Fowler DR, Graham JK, Karlovich MW, Yang JE, Keller AE, Donner EJ, Friedman D. Temporal trends and autopsy findings of SUDEP based on medico-legal investigations in the United States. Neurology 2020; 95:e867-e877. [PMID: 32636323 DOI: 10.1212/wnl.0000000000009996] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 01/28/2020] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE To determine time trends and distinguishing autopsy findings of sudden unexpected death in epilepsy (SUDEP) in the United States. METHODS We identified decedents where epilepsy/seizure was listed as cause/contributor to death or comorbid condition on the death certificate among all decedents who underwent medico-legal investigation at 3 medical examiner (ME) offices across the country: New York City (2009-2016), San Diego County (2008-2016), and Maryland (2000-2016). After reviewing all available reports, deaths classified as definite/probable/near SUDEP or SUDEP plus were included for analysis. Mann-Kendall trend test was used to analyze temporal trends in SUDEP rate for 2009-2016. Definite SUDEPs were compared to sex- and age ±2 years-matched non-SUDEP deaths with a history of epilepsy regarding autopsy findings, circumstances, and comorbidities. RESULTS A total of 1,086 SUDEP cases were identified. There was a decreasing trend in ME-investigated SUDEP incidence between 2009 and 2016 (z = -2.2, S = -42, p = 0.028) among 3 regions. There was a 28% reduction in ME-investigated SUDEP incidence from 2009 to 2012 to 2013-2016 (confidence interval, 17%-38%, p < 0.0001). We found no correlation between SUDEP rates and the month of year or day of week. There was no difference between SUDEP and non-SUDEP deaths regarding neurodevelopmental abnormalities, pulmonary congestion/edema, and myocardial fibrosis. CONCLUSIONS There was a decreasing monotonic trend in ME-investigated SUDEP incidence over 8 years, with a 28% reduction in incidence from 2009-2012 to 2013-2016. Unlike SIDS and sudden cardiac death, we found no correlation between SUDEP and the season of year or day of week. No autopsy findings distinguished SUDEP from non-SUDEP deaths.
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Affiliation(s)
- Esma Cihan
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Orrin Devinsky
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Dale C Hesdorffer
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Michael Brandsoy
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Ling Li
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - David R Fowler
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Jason K Graham
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Michael W Karlovich
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Jaclyn E Yang
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Anne E Keller
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Elizabeth J Donner
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada
| | - Daniel Friedman
- From the Department of Neurology (E.C., O.D., M.W.K., J.E.Y., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), New York; and Division of Neurology, Department of Paediatrics (A.E.K., E.J.D.), the Hospital for Sick Children, Toronto, Canada.
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Xia L, Huang L, Feng X, Xiao J, Wei X, Yu X. Chronobiological patterns of acute aortic dissection in central China. Heart 2020; 107:heartjnl-2020-317009. [PMID: 32660983 PMCID: PMC7873417 DOI: 10.1136/heartjnl-2020-317009] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/04/2020] [Accepted: 06/08/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Acute aortic dissection (AAD) is a life-threatening emergency with poor clinical outcomes. Understanding the chronological patterns of AAD onset would be helpful for identifying the triggers of AAD and preventing this catastrophic event. METHODS We collected data from 2048 patients diagnosed with AAD at Tongji Hospital (Wuhan, China) from 2011 to 2018. The χ2 test was used to determine whether a specific period had significantly different seasonal/weekly distributions from other periods. Fourier models were used to analyse the rhythmicity in monthly/circadian distribution. RESULTS The mean age was 53.4±10.9 years, and 1161 patients (56.7%) were under 55 years. One thousand six hundred fifty-seven patients (80.9%) were male, and 935 cases (45.7%) were type A dissections. The proportions of patients with comorbid hypertension/diabetes were 60.3% (1234 cases) and 1.8% (36 cases), respectively. A peak was identified in colder periods (winter/December) and a trough in warmer periods (summer/June). No significant variation was observed in weekly distribution. Fourier analysis showed a statistically significant circadian variation (p<0.001) with a nocturnal trough in 2:00-3:00, a morning peak in 9:00-10:00, and an afternoon peak in 16:00-17:00. Subgroup analyses identified circadian rhythmicity in all subgroups except for the female group and younger group (younger than 55 years). CONCLUSION Our results confirmed that the onset of AAD exhibits significant seasonal, monthly and circadian patterns. Patients with AAD with different Stanford-type dissections, sexes, ages and hypertension statuses could present different circadian variations. These findings may provide novel perspectives for identifying the triggers of AAD and better preventing this catastrophic event.
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Affiliation(s)
- Liangtao Xia
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lu Huang
- Tongji Hospital, Tongji Medical College,Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xin Feng
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jiewen Xiao
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiang Wei
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, Hubei, China
- NHC Key Laboratory of Organ Transplantation, Wuhan, Hubei, China
- Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, Hubei, China
| | - Xinyu Yu
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Karoly PJ, Cook MJ, Maturana M, Nurse ES, Payne D, Brinkmann BH, Grayden DB, Dumanis SB, Richardson MP, Worrell GA, Schulze‐Bonhage A, Kuhlmann L, Freestone DR. Forecasting cycles of seizure likelihood. Epilepsia 2020; 61:776-786. [DOI: 10.1111/epi.16485] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 03/01/2020] [Accepted: 03/02/2020] [Indexed: 01/22/2023]
Affiliation(s)
- Philippa J. Karoly
- Graeme Clark Institute and St Vincent’s Hospital University of Melbourne Melbourne Victoria Australia
- Department of Biomedical Engineering University of Melbourne Melbourne Victoria Australia
| | - Mark J. Cook
- Graeme Clark Institute and St Vincent’s Hospital University of Melbourne Melbourne Victoria Australia
| | - Matias Maturana
- Graeme Clark Institute and St Vincent’s Hospital University of Melbourne Melbourne Victoria Australia
- Seer Medical Melbourne Victoria Australia
| | - Ewan S. Nurse
- Graeme Clark Institute and St Vincent’s Hospital University of Melbourne Melbourne Victoria Australia
- Seer Medical Melbourne Victoria Australia
| | - Daniel Payne
- Department of Biomedical Engineering University of Melbourne Melbourne Victoria Australia
| | | | - David B. Grayden
- Department of Biomedical Engineering University of Melbourne Melbourne Victoria Australia
| | | | | | | | - Andreas Schulze‐Bonhage
- Faculty of Medicine Epilepsy Center Medical Center University of Freiburg Freiburg Germany
- European Reference Network EpiCare Freiburg Germany
| | - Levin Kuhlmann
- Department of Data Science and AI Faculty of Information Technology Monash University Clayton Victoria Australia
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Circadian and circaseptan rhythms in human epilepsy: a retrospective cohort study. Lancet Neurol 2018; 17:977-985. [PMID: 30219655 DOI: 10.1016/s1474-4422(18)30274-6] [Citation(s) in RCA: 151] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 07/02/2018] [Accepted: 07/05/2018] [Indexed: 01/15/2023]
Abstract
BACKGROUND Epilepsy has long been suspected to be governed by cyclic rhythms, with seizure rates rising and falling periodically over weeks, months, or even years. The very long scales of seizure patterns seem to defy natural explanation and have sometimes been attributed to hormonal cycles or environmental factors. This study aimed to quantify the strength and prevalence of seizure cycles at multiple temporal scales across a large cohort of people with epilepsy. METHODS This retrospective cohort study used the two most comprehensive databases of human seizures (SeizureTracker [USA] and NeuroVista [Melbourne, VIC, Australia]) and analytic techniques from circular statistics to analyse patients with epilepsy for the presence and frequency of multitemporal cycles of seizure activity. NeuroVista patients were selected on the basis of having intractable focal epilepsy; data from patients with at least 30 clinical seizures were used. SeizureTracker participants are self selected and data do not adhere to any specific criteria; we used patients with a minimum of 100 seizures. The presence of seizure cycles over multiple time scales was measured using the mean resultant length (R value). The Rayleigh test and Hodges-Ajne test were used to test for circular uniformity. Monte-Carlo simulations were used to confirm the results of the Rayleigh test for seizure phase. FINDINGS We used data from 12 people from the NeuroVista study (data recorded from June 10, 2010, to Aug 22, 2012) and 1118 patients from the SeizureTracker database (data recorded from Jan 1, 2007, to Oct 19, 2015). At least 891 (80%) of 1118 patients in the SeizureTracker cohort and 11 (92%) of 12 patients in the NeuroVista cohort showed circadian (24 h) modulation of their seizure rates. In the NeuroVista cohort, patient 8 had a significant cycle at precisely 1 week. Two others (patients 1 and 7) also had approximately 1-week cycles. Patients 1 and 4 had 2-week cycles. In the SeizureTracker cohort, between 77 (7%) and 233 (21%) of the 1118 patients showed strong circaseptan (weekly) rhythms, with a clear 7-day period. Between 151 (14%) and 247 (22%) patients had significant seizure cycles that were longer than 3 weeks. Seizure cycles were equally prevalent in men and women, and peak seizure rates were evenly distributed across all days of the week. INTERPRETATION Our results suggest that seizure cycles are robust, patient specific, and more widespread than previously understood. They align with the accepted consensus that most epilepsies have some diurnal influence. Variations in seizure rate have important clinical implications. Detection and tracking of seizure cycles on a patient-specific basis should be standard in epilepsy management practices. FUNDING Australian National Health and Medical Research Council.
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Manfredini R, Fabbian F. Pulmonary embolism, mortality, 'weekend effect' and gender: what do we know? Future Cardiol 2017; 14:9-13. [PMID: 29168648 DOI: 10.2217/fca-2017-0077] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Roberto Manfredini
- Clinica Medica Unit, Department of Medical Sciences, Faculty of Medicine, Pharmacy & Prevention, University of Ferrara, Ferrara, Italy
| | - Fabio Fabbian
- Clinica Medica Unit, Department of Medical Sciences, Faculty of Medicine, Pharmacy & Prevention, University of Ferrara, Ferrara, Italy
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A Journey into the Science of Cardiovascular Chronobiology. Heart Fail Clin 2017; 13:xiii-xv. [PMID: 28865786 DOI: 10.1016/j.hfc.2017.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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