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Ferrone SR, Sanmartin MX, Ohara J, Jimenez JC, Feizullayeva C, Lodato Z, Shahsavarani S, Lacher G, Demissie S, Vialet JM, White TG, Wang JJ, Katz JM, Sanelli PC. Acute ischemic stroke outcomes in patients with COVID-19: a systematic review and meta-analysis. J Neurointerv Surg 2024; 16:333-341. [PMID: 37460215 DOI: 10.1136/jnis-2023-020489] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 06/17/2023] [Indexed: 03/16/2024]
Abstract
BACKGROUND Although patients with COVID-19 have a higher risk of acute ischemic stroke (AIS), the impact on stroke outcomes remains uncertain. AIMS To determine the clinical outcomes of patients with AIS and COVID-19 (AIS-COVID+). METHODS We performed a systematic review and meta-analysis following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Our protocol was registered with the International Prospective Register of Systematic Reviews (CRD42020211977). Systematic searches were last performed on June 3, 2021 in EMBASE, PubMed, Web-of-Science, Scopus, and CINAHL Databases. INCLUSION CRITERIA (1) studies reporting outcomes on AIS-COVID+; (2) original articles published in 2020 or later; (3) study participants aged ≥18 years. EXCLUSION CRITERIA (1) case reports with <5 patients, abstracts, review articles; (2) studies analyzing novel interventions. Risk of bias was assessed using the Mixed Methods Appraisal Tool. Random-effects models estimated the pooled OR and 95% confidence intervals (95% CI) for mortality, modified Rankin Scale (mRS) score, length of stay (LOS), and discharge disposition. RESULTS Of the 43 selected studies, 46.5% (20/43) reported patients with AIS without COVID-19 (AIS-COVID-) for comparison. Random-effects model included 7294 AIS-COVID+ and 158 401 AIS-COVID-. Compared with AIS-COVID-, AIS-COVID+ patients had higher in-hospital mortality (OR=3.87 (95% CI 2.75 to 5.45), P<0.001), less mRS scores 0-2 (OR=0.53 (95% CI 0.46 to 0.62), P<0.001), longer LOS (mean difference=4.21 days (95% CI 1.96 to 6.47), P<0.001), and less home discharge (OR=0.31 (95% CI 0.21 to 0.47), P<0.001). CONCLUSIONS Patients with AIS-COVID had worse outcomes, with almost fourfold increased mortality, half the odds of mRS scores 0-2, and one-third the odds of home discharge. These findings confirm the significant impact of COVID-19 on early stroke outcomes.
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Affiliation(s)
- Sophia R Ferrone
- Institute for Health System Science, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Maria X Sanmartin
- Institute for Health System Science, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA
- Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Joseph Ohara
- Department of Radiology, Northwell Health, Manhasset, NY, USA
| | - Jean C Jimenez
- Department of Radiology, Northwell Health, Manhasset, NY, USA
| | | | - Zachary Lodato
- Institute for Health System Science, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Shaya Shahsavarani
- Institute for Health System Science, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Gregory Lacher
- Institute for Health System Science, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Seleshi Demissie
- Department of Biostatistics, Northwell Health Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | | | - Tim G White
- Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Jason J Wang
- Institute for Health System Science, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA
- Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Jeffrey M Katz
- Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Pina C Sanelli
- Institute for Health System Science, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, USA
- Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
- Department of Radiology, Northwell Health, Manhasset, NY, USA
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Liu L, Zhou C, Jiang H, Wei H, Zhou Y, Zhou C, Ji X. Epidemiology, pathogenesis, and management of Coronavirus disease 2019-associated stroke. Front Med 2023; 17:1047-1067. [PMID: 38165535 DOI: 10.1007/s11684-023-1041-7] [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: 05/05/2023] [Accepted: 10/15/2023] [Indexed: 01/03/2024]
Abstract
The Coronavirus disease 2019 (COVID-19) epidemic has triggered a huge impact on healthcare, socioeconomics, and other aspects of the world over the past three years. An increasing number of studies have identified a complex relationship between COVID-19 and stroke, although active measures are being implemented to prevent disease transmission. Severe COVID-19 may be associated with an increased risk of stroke and increase the rates of disability and mortality, posing a serious challenge to acute stroke diagnosis, treatment, and care. This review aims to provide an update on the influence of COVID-19 itself or vaccines on stroke, including arterial stroke (ischemic stroke and hemorrhagic stroke) and venous stroke (cerebral venous thrombosis). Additionally, the neurovascular mechanisms involved in SARS-CoV-2 infection and the clinical characteristics of stroke in the COVID-19 setting are presented. Evidence on vaccinations, potential therapeutic approaches, and effective strategies for stroke management has been highlighted.
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Affiliation(s)
- Lu Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100032, China
- Neurology and Intracranial Hypertension and Cerebral Venous Disease Center, National Health Commission of China, Xuanwu Hospital, Capital Medical University, Beijing, 100032, China
| | - Chenxia Zhou
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100032, China
- Neurology and Intracranial Hypertension and Cerebral Venous Disease Center, National Health Commission of China, Xuanwu Hospital, Capital Medical University, Beijing, 100032, China
| | - Huimin Jiang
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, 100069, China
| | - Huimin Wei
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Yifan Zhou
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, 100069, China
| | - Chen Zhou
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, 100069, China.
- Department of Neurology, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
| | - Xunming Ji
- Neurology and Intracranial Hypertension and Cerebral Venous Disease Center, National Health Commission of China, Xuanwu Hospital, Capital Medical University, Beijing, 100032, China.
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, 100069, China.
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100032, China.
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Mpouzika M, Rossis C, Tsiaousis G, Karanikola M, Chatzi M, Parissopoulos S, Papathanassoglou E. The Potential Role of Gender in the Incidence, Management, and Outcomes of Stroke in Patients Suffering From COVID-19: A Brief Review. Cureus 2023; 15:e50302. [PMID: 38205481 PMCID: PMC10777168 DOI: 10.7759/cureus.50302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/10/2023] [Indexed: 01/12/2024] Open
Abstract
Gender-disaggregated data are continuously needed in all aspects of the coronavirus disease 2019 (COVID-19) pandemic, including cerebrovascular disease in patients infected with SARS-CoV-2. This brief review was conducted to summarize available evidence and highlight potential sex differences regarding the incidence, applied therapies, and outcomes of stroke in patients with COVID-19. Local and global registries of such patients were included, where comparisons with historical (pre-pandemic era) and contemporary (stroke patients negative for SARS-CoV-2) cohorts formed the basis of the analysis. According to the herein reported evidence, the frequency of stroke under COVID-19 does not seem to vary according to gender, although a tendency toward male predominance cannot be excluded. In terms of management and outcomes, more advanced therapies are used in men. Follow-up data on gender differences are needed, as the pandemic is evolving (no lockdowns; new strains; vaccinated or naturally immune populations).
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Affiliation(s)
- Meropi Mpouzika
- Department of Nursing, Cyprus University of Technology, Limassol, CYP
| | - Christos Rossis
- Department of Accident & Emergency, Nicosia General Hospital Cyprus, Nicosia, CYP
| | | | - Maria Karanikola
- Department of Nursing, Cyprus University of Technology, Limassol, CYP
| | - Maria Chatzi
- Infectious Diseases Unit, University Hospital of Larissa, Larissa, GRC
| | | | - Elizabeth Papathanassoglou
- Department of Critical Care, Faculty of Nursing, University of Alberta, Edmonton, CAN
- Neurosciences, Rehabilitation & Vision Strategic Clinical Network, Alberta Health Services, Edmonton, CAN
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4
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Lima WDS, Soares MHP, Paschoal EHA, Paschoal JKSF, Paschoal FM, Bor-Seng-Shu E. Intracranial hemorrhages in patients with COVID-19: a systematic review of the literature, regarding six cases in an Amazonian population. ARQUIVOS DE NEURO-PSIQUIATRIA 2023; 81:989-999. [PMID: 38035584 PMCID: PMC10689113 DOI: 10.1055/s-0043-1772834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 05/01/2023] [Indexed: 12/02/2023]
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) has emerged as a public health emergency worldwide, predominantly affecting the respiratory tract. However, evidence supports the involvement of extrapulmonary sites, including reports of intracranial hemorrhages. OBJECTIVE To describe six original cases and review the literature on intracranial hemorrhages in patients diagnosed with COVID-19 by molecular methods. METHODS A systematic literature review was performed on MEDLINE, PubMed, and NCBI electronic databases to identify eligible studies. Of the total 1,624 articles retrieved, only 53 articles met the inclusion criteria. RESULTS The overall incidence of intracranial hemorrhage in patients hospitalized for COVID-19 was 0.26%. In this patient group, the mean age was 60 years, and the majority were male (68%) with initial respiratory symptoms (73%) and some comorbidity. Before the diagnosis of hemorrhage, 43% of patients were using anticoagulants, 47.3% at therapeutic doses. The intraparenchymal (50%) was the most affected compartment, followed by the subarachnoid (34%), intraventricular (11%), and subdural (7%). There was a predominance of lobar over non-lobar topographies. Multifocal or multicompartmental hemorrhages were described in 25% of cases. Overall mortality in the cohort studies was 44%, while around 55% of patients were discharged from hospital. CONCLUSION Despite the unusual association, the combination of these two diseases is associated with high rates of mortality and morbidity, as well as more severe clinicoradiological presentations. Further studies are needed to provide robust evidence on the exact pathophysiology behind the occurrence of intracranial hemorrhages after COVID-19 infection.
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Affiliation(s)
- William de Sousa Lima
- Universidade Federal do Pará, Faculdade de Medicina, Departamento de Neurologia do Hospital Universitário João de Barros Barreto, Belém PA, Brazil.
| | - Marcelo Henrique Pereira Soares
- Universidade Federal do Pará, Faculdade de Medicina, Departamento de Neurologia do Hospital Universitário João de Barros Barreto, Belém PA, Brazil.
| | - Eric Homero Albuquerque Paschoal
- Universidade Federal do Pará, Faculdade de Medicina, Departamento de Neurologia do Hospital Universitário João de Barros Barreto, Belém PA, Brazil.
| | | | - Fernando Mendes Paschoal
- Universidade Federal do Pará, Faculdade de Medicina, Departamento de Neurologia do Hospital Universitário João de Barros Barreto, Belém PA, Brazil.
| | - Edson Bor-Seng-Shu
- Universidade de São Paulo, Faculdade de Medicina, Departamento de Neurologia do Hospital das Clínicas, São Paulo SP, Brazil.
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de Groot BO, Biserni C, Fuermaier ABM, Enriquez-Geppert S. Untreated if unrecognized: A cognitive profile of sustained subjective executive dysfunctions in COVID-19. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-11. [PMID: 37334922 DOI: 10.1080/23279095.2023.2223329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
& STATEMENT OF IMPACTSARS-COV-2 infection can result in acute and long-lasting cognitive complaints, causing ongoing impairments in daily life which poses a challenge to society. Consequently, the evaluation and characterization of cognitive complaints, specifically in the domain of executive functions (EFs) affecting daily life, is imperative in formulating an effective neuropsychological response.In total 442 participants aged 18-65+ years from the Netherlands, Germany, Mexico, and Spain were included in an online questionnaire. Among others, the questionnaire consisted of demographics, the Behavior Rating Inventory of Executive Functioning for Adults (BRIEF-A), measures of subjective disease progression severity and experienced subjective impairment in daily activities. To assess whether daily life activities are affected by EF impairments, the main BRIEF-A composite score (GEC) was analyzed. To determine whether disease-related COVID-19 factors predict EFs complaints in daily life, a stepwise regression analysis was performed with i) experienced disease severity, ii) time since disease, and iii) health risk factor as predictors.The study revealed noteworthy differences in the occurrence of EFs problems in daily life between both groups, as indicated by the GEC, which exhibited a medium effect size even 6 months post-COVID-19 diagnosis even in mild disease progression. The scores of the BRIEF-A subscales follow a domain-specific profile, and includes clinically relevant impairments in: Working memory, Plan/Organize, Task Monitor, Shift, which are affected by the experienced severity of the disease. This cognitive profile has important implications for targeted cognitive training in rehabilitation and has the potential for an applicability to other viruses as well.
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Affiliation(s)
- Bob O de Groot
- Department of Clinical and Developmental Neuropsychology, University of Groningen, The Netherlands
| | - Chiara Biserni
- Department of Clinical and Developmental Neuropsychology, University of Groningen, The Netherlands
| | - Anselm B M Fuermaier
- Department of Clinical and Developmental Neuropsychology, University of Groningen, The Netherlands
| | - Stefanie Enriquez-Geppert
- Department of Clinical and Developmental Neuropsychology, University of Groningen, The Netherlands
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, The Netherlands
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Fleischer M, Szepanowski F, Tovar M, Herchert K, Dinse H, Schweda A, Mausberg AK, Holle-Lee D, Köhrmann M, Stögbauer J, Jokisch D, Jokisch M, Deuschl C, Skoda EM, Teufel M, Stettner M, Kleinschnitz C. Post-COVID-19 Syndrome is Rarely Associated with Damage of the Nervous System: Findings from a Prospective Observational Cohort Study in 171 Patients. Neurol Ther 2022; 11:1637-1657. [PMID: 36028604 PMCID: PMC9417089 DOI: 10.1007/s40120-022-00395-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/03/2022] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can affect multiple organs. Reports of persistent or newly emergent symptoms, including those related to the nervous system, have increased over the course of the pandemic, leading to the introduction of post-COVID-19 syndrome. However, this novel syndrome is still ill-defined and structured objectification of complaints is scarce. Therefore, we performed a prospective observational cohort study to better define and validate subjective neurological disturbances in patients with post-COVID-19 syndrome. METHODS A total of 171 patients fulfilling the post-COVID-19 WHO Delphi consensus criteria underwent a comprehensive neurological diagnostic work-up including neurovascular, electrophysiological, and blood analysis. In addition, magnetic resonance imaging (MRI) and lumbar puncture were conducted in subgroups of patients. Furthermore, patients underwent neuropsychological, psychosomatic, and fatigue assessment. RESULTS Patients were predominantly female, middle-aged, and had incurred mostly mild-to-moderate acute COVID-19. The most frequent post-COVID-19 complaints included fatigue, difficulties in concentration, and memory deficits. In most patients (85.8%), in-depth neurological assessment yielded no pathological findings. In 97.7% of the cases, either no diagnosis other than post COVID-19 syndrome, or no diagnosis likely related to preceding acute COVID-19 could be established. Sensory or motor complaints were more often associated with a neurological diagnosis other than post-COVID-19 syndrome. Previous psychiatric conditions were identified as a risk factor for developing post-COVID-19 syndrome. We found high somatization scores in our patient group that correlated with cognitive deficits and the extent of fatigue. CONCLUSIONS Albeit frequently reported by patients, objectifiable affection of the nervous system is rare in post-COVID-19 syndrome. Instead, elevated levels of somatization point towards a pathogenesis potentially involving psychosomatic factors. However, thorough neurological assessment is important in this patient group in order to not miss neurological diseases other than post-COVID-19.
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Affiliation(s)
- Michael Fleischer
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Fabian Szepanowski
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Muriel Tovar
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Klaas Herchert
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Hannah Dinse
- Clinic for Psychosomatic Medicine, and Psychotherapy, LVR University Hospital Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Adam Schweda
- Clinic for Psychosomatic Medicine, and Psychotherapy, LVR University Hospital Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Anne K. Mausberg
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Dagny Holle-Lee
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Martin Köhrmann
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Julia Stögbauer
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Daniel Jokisch
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Martha Jokisch
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Cornelius Deuschl
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Medicine Essen, University Duisburg-Essen, Essen, Germany
| | - Eva-Maria Skoda
- Clinic for Psychosomatic Medicine, and Psychotherapy, LVR University Hospital Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Martin Teufel
- Clinic for Psychosomatic Medicine, and Psychotherapy, LVR University Hospital Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Mark Stettner
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Christoph Kleinschnitz
- Department of Neurology, University Medicine Essen, University Duisburg-Essen, Essen, Germany ,Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
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Ferritin, blood urea nitrogen, and high chest CT score determines ICU admission in COVID-19 positive UAE patients: A single center retrospective study. PLoS One 2022; 17:e0269185. [PMID: 35852999 PMCID: PMC9295942 DOI: 10.1371/journal.pone.0269185] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 05/17/2022] [Indexed: 11/29/2022] Open
Abstract
Coronavirus Disease (COVID-19) was declared a pandemic by WHO in March 2020. Since then, additional novel coronavirus variants have emerged challenging the current healthcare system worldwide. There is an increased need for hospital care, especially intensive care unit (ICU), for the patients severely affected by the disease. Most of the studies analyzed COVID-19 infected patients in the hospitals and established the positive correlation between clinical parameters such as high levels of D-dimer, C-reactive protein, and ferritin to the severity of infection. However, little is known about the course of the ICU admission. The retrospective study carried out at University Hospital Sharjah, UAE presented here reports an integrated analysis of the biochemical and radiological factors among the newly admitted COVID-19 patients to decide on their ICU admission. The descriptive statistical analysis revealed that patients with clinical presentations such as acute respiratory distress syndrome (ARDS) (p<0.0001) at the time of admission needed intensive care. The ROC plot indicated that radiological factors including high chest CT scores (>CO-RADS 4) in combination with biochemical parameters such as higher levels of blood urea nitrogen (>6.7 mg/dL;66% sensitivity and 75.8% specificity) and ferritin (>290 μg/mL, 71.4% sensitivity and 77.8% specificity) may predict ICU admission with 94.2% accuracy among COVID-19 patients. Collectively, these findings would benefit the hospitals to predict the ICU admission amongst COVID-19 infected patients.
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Lau VI, Dhanoa S, Cheema H, Lewis K, Geeraert P, Lu D, Merrick B, Vander Leek A, Sebastianski M, Kula B, Chaudhuri D, Agarwal A, Niven DJ, Fiest KM, Stelfox HT, Zuege DJ, Rewa OG, Bagshaw SM. Non-COVID outcomes associated with the coronavirus disease-2019 (COVID-19) pandemic effects study (COPES): A systematic review and meta-analysis. PLoS One 2022; 17:e0269871. [PMID: 35749400 PMCID: PMC9231780 DOI: 10.1371/journal.pone.0269871] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 05/29/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND As the Coronavirus Disease-2019 (COVID-19) pandemic continues, healthcare providers struggle to manage both COVID-19 and non-COVID patients while still providing high-quality care. We conducted a systematic review/meta-analysis to describe the effects of the COVID-19 pandemic on patients with non-COVID illness and on healthcare systems compared to non-pandemic epochs. METHODS We searched Ovid MEDLINE/EMBASE/Cochrane Database of Systematic Reviews/CENTRAL/CINAHL (inception to December 31, 2020). All study types with COVID-pandemic time period (after December 31, 2019) with comparative non-pandemic time periods (prior to December 31, 2019). Data regarding study characteristics/case-mix/interventions/comparators/ outcomes (primary: mortality; secondary: morbidity/hospitalizations/disruptions-to-care. Paired reviewers conducted screening and abstraction, with conflicts resolved by discussion. Effect sizes for specific therapies were pooled using random-effects models. Risk of bias was assessed by Newcastle-Ottawa Scale, with evidence rating using GRADE methodology. RESULTS Of 11,581 citations, 167 studies met eligibility. Our meta-analysis showed an increased mortality of 16% during the COVID pandemic for non-COVID illness compared with 11% mortality during the pre-pandemic period (RR 1.38, 95% CI: 1.28-1.50; absolute risk difference: 5% [95% CI: 4-6%], p<0.00001, very low certainty evidence). Twenty-eight studies (17%) reported significant changes in morbidity (where 93% reported increases), while 30 studies (18%) reported no significant change (very low certainty). Thirty-nine studies (23%) reported significant changes in hospitalizations (97% reporting decreases), while 111 studies (66%) reported no significant change (very low certainty). Sixty-two studies (37%) reported significant disruptions in standards-to-care (73% reporting increases), while 62 studies (37%) reported no significant change (very low certainty). CONCLUSIONS There was a significant increase in mortality during the COVID pandemic compared to pre-pandemic times for non-COVID illnesses. When significant changes were reported, there was increased morbidity, decreased hospitalizations and increased disruptions in standards-of-care. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42020201256 (Sept 2, 2020).
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Affiliation(s)
- Vincent Issac Lau
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
| | - Sumeet Dhanoa
- Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
| | - Harleen Cheema
- Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
| | - Kimberley Lewis
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
- Division of Critical Care Medicine, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Patrick Geeraert
- Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
| | - David Lu
- Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
| | - Benjamin Merrick
- Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
| | - Aaron Vander Leek
- Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
| | - Meghan Sebastianski
- Alberta Strategy for Patient-Orientated Research Knowledge Translation Platform, University of Alberta, Edmonton, Alberta, Canada
| | - Brittany Kula
- Division of Infectious Disease, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
| | - Dipayan Chaudhuri
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
- Division of Critical Care Medicine, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Arnav Agarwal
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, General Internal Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Daniel J Niven
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, and Alberta Health Services, Calgary, Alberta, Canada
- Critical Care Strategic Clinical Network, Alberta Health Services, Calgary, Alberta, Canada
| | - Kirsten M Fiest
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, and Alberta Health Services, Calgary, Alberta, Canada
- Critical Care Strategic Clinical Network, Alberta Health Services, Calgary, Alberta, Canada
| | - Henry T Stelfox
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, and Alberta Health Services, Calgary, Alberta, Canada
- Critical Care Strategic Clinical Network, Alberta Health Services, Calgary, Alberta, Canada
- O'Brien Institute of Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Danny J Zuege
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, and Alberta Health Services, Calgary, Alberta, Canada
- Critical Care Strategic Clinical Network, Alberta Health Services, Calgary, Alberta, Canada
| | - Oleksa G Rewa
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
- Critical Care Strategic Clinical Network, Alberta Health Services, Calgary, Alberta, Canada
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, and Alberta Health Services, Edmonton, Alberta, Canada
- Critical Care Strategic Clinical Network, Alberta Health Services, Calgary, Alberta, Canada
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
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9
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Nawabi NLA, Duey AH, Kilgallon JL, Jessurun C, Doucette J, Mekary RA, Aziz-Sultan MA. Effects of the COVID-19 pandemic on stroke response times: a systematic review and meta-analysis. J Neurointerv Surg 2022; 14:642-649. [PMID: 35387860 DOI: 10.1136/neurintsurg-2021-018230] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 03/24/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVES COVID-19 presents a risk for delays to stroke treatment. We examined how COVID-19 affected stroke response times. METHODS A literature search was conducted to identify articles covering stroke during COVID-19 that included time metrics data pre- and post-pandemic. For each outcome, pooled relative change from baseline and 95% CI were calculated using random-effects models. Heterogeneity was explored through subgroup analyses comparing comprehensive stroke centers (CSCs) to non-CSCs. RESULTS 38 included studies reported on 6109 patients during COVID-19 and 14 637 patients during the pre-COVID period. Pooled increases of 20.9% (95% CI 5.8% to 36.1%) in last-known-well (LKW) to arrival times, 1.2% (-2.9% to 5.3%) in door-to-imaging (DTI), 0.8% (-2.9% to 4.5%) in door-to-needle (DTN), 2.8% (-5.0% to 10.6%) in door-to-groin (DTG), and 19.7% (11.1% to 28.2%) in door-to-reperfusion (DTR) times were observed during COVID-19. At CSCs, LKW increased by 24.0% (-0.3% to 48.2%), DTI increased by 1.6% (-3.0% to 6.1%), DTN increased by 3.6% (1.2% to 6.0%), DTG increased by 4.6% (-5.9% to 15.1%), and DTR increased by 21.2% (12.3% to 30.1%). At non-CSCs, LKW increased by 12.4% (-1.0% to 25.7%), DTI increased by 0.2% (-2.0% to 2.4%), DTN decreased by -4.6% (-11.9% to 2.7%), DTG decreased by -0.6% (-8.3% to 7.1%), and DTR increased by 0.5% (-31.0% to 32.0%). The increases during COVID-19 in LKW (p=0.01) and DTR (p=0.00) were statistically significant, as was the difference in DTN delays between CSCs and non-CSCs (p=0.04). CONCLUSIONS Factors during COVID-19 resulted in significantly delayed LKW and DTR, and mild delays in DTI, DTN, and DTG. CSCs experience more pronounced delays than non-CSCs.
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Affiliation(s)
- Noah L A Nawabi
- Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA .,Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Akiro H Duey
- Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA
| | - John L Kilgallon
- Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.,Department of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Charissa Jessurun
- Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.,Department of Neurosurgery, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands
| | - Joanne Doucette
- Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.,Department of Library and Learning Resources, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA
| | - Rania A Mekary
- Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.,Department of Pharmaceutical Business and Administrative Sciences, Massachusetts College of Pharmacy and Health Sciences, Boston, Massachusetts, USA
| | - Mohammad Ali Aziz-Sultan
- Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.,Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
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10
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A un año de la pandemia en Argentina, características clínicas de pacientes con accidente cerebral agudo en una cohorte hospitalaria y sus implicancias. NEUROLOGÍA ARGENTINA 2022. [PMCID: PMC8612657 DOI: 10.1016/j.neuarg.2021.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Introducción Materiales y métodos Resultados Conclusión
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11
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Zhong M, Xiong H, Zhang K, Fu S. The Impact of COVID-19 on the Acute Stroke Care Pathway: Looking Beyond the Short Term. Int J Gen Med 2022; 15:3069-3075. [PMID: 35320989 PMCID: PMC8937308 DOI: 10.2147/ijgm.s349356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/04/2022] [Indexed: 11/23/2022] Open
Abstract
Background Methods Results Conclusion
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Affiliation(s)
- Mengqiu Zhong
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Hanlin Xiong
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
| | - Kebiao Zhang
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
- Correspondence: Kebiao Zhang; Shimin Fu, Email ;
| | - Shimin Fu
- Department of Emergency, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China
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12
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Pezzini A, Grassi M, Silvestrelli G, Locatelli M, Rifino N, Beretta S, Gamba M, Raimondi E, Giussani G, Carimati F, Sangalli D, Corato M, Gerevini S, Masciocchi S, Cortinovis M, La Gioia S, Barbieri F, Mazzoleni V, Pezzini D, Bonacina S, Pilotto A, Benussi A, Magoni M, Premi E, Prelle AC, Agostoni EC, Palluzzi F, De Giuli V, Magherini A, Roccatagliata DV, Vinciguerra L, Puglisi V, Fusi L, Diamanti S, Santangelo F, Xhani R, Pozzi F, Grampa G, Versino M, Salmaggi A, Marcheselli S, Cavallini A, Giossi A, Censori B, Ferrarese C, Ciccone A, Sessa M, Padovani A. SARS-CoV-2 infection and acute ischemic stroke in Lombardy, Italy. J Neurol 2022; 269:1-11. [PMID: 34031747 PMCID: PMC8142879 DOI: 10.1007/s00415-021-10620-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 05/05/2021] [Accepted: 05/18/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To characterize patients with acute ischemic stroke related to SARS-CoV-2 infection and assess the classification performance of clinical and laboratory parameters in predicting in-hospital outcome of these patients. METHODS In the setting of the STROKOVID study including patients with acute ischemic stroke consecutively admitted to the ten hub hospitals in Lombardy, Italy, between March 8 and April 30, 2020, we compared clinical features of patients with confirmed infection and non-infected patients by logistic regression models and survival analysis. Then, we trained and tested a random forest (RF) binary classifier for the prediction of in-hospital death among patients with COVID-19. RESULTS Among 1013 patients, 160 (15.8%) had SARS-CoV-2 infection. Male sex (OR 1.53; 95% CI 1.06-2.27) and atrial fibrillation (OR 1.60; 95% CI 1.05-2.43) were independently associated with COVID-19 status. Patients with COVID-19 had increased stroke severity at admission [median NIHSS score, 9 (25th to75th percentile, 13) vs 6 (25th to75th percentile, 9)] and increased risk of in-hospital death (38.1% deaths vs 7.2%; HR 3.30; 95% CI 2.17-5.02). The RF model based on six clinical and laboratory parameters exhibited high cross-validated classification accuracy (0.86) and precision (0.87), good recall (0.72) and F1-score (0.79) in predicting in-hospital death. CONCLUSIONS Ischemic strokes in COVID-19 patients have distinctive risk factor profile and etiology, increased clinical severity and higher in-hospital mortality rate compared to non-COVID-19 patients. A simple model based on clinical and routine laboratory parameters may be useful in identifying ischemic stroke patients with SARS-CoV-2 infection who are unlikely to survive the acute phase.
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Affiliation(s)
- Alessandro Pezzini
- Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123, Brescia, Italy.
| | - Mario Grassi
- grid.8982.b0000 0004 1762 5736Department of Brain and Behavioural Sciences, Statistics and Genomic Unit, University of Pavia, Pavia, Italy
| | - Giorgio Silvestrelli
- grid.413174.40000 0004 0493 6690Department of Neurology and Stroke Unit, Carlo Poma Hospital, ASST Mantova, Mantova, Italy
| | - Martina Locatelli
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy ,grid.419450.dNeurology Unit, Istituti Ospitalieri, ASST Cremona, Cremona, Italy
| | - Nicola Rifino
- grid.415025.70000 0004 1756 8604Department of Neurology, Ospedale San Gerardo, ASST Monza, Monza, Italy ,grid.7563.70000 0001 2174 1754Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Simone Beretta
- grid.415025.70000 0004 1756 8604Department of Neurology, Ospedale San Gerardo, ASST Monza, Monza, Italy ,grid.7563.70000 0001 2174 1754Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Massimo Gamba
- grid.412725.7Vascular Neurology-Stroke Unit, Spedali Civili Hospital, ASST Spedali Civili, Brescia, Italy
| | - Elisa Raimondi
- Neurology Unit, Ospedale Nuovo, ASST Ovest Milanese, Legnano, Italy
| | - Giuditta Giussani
- Neurology Unit and Stroke Unit, Department of Neurosciences and Niguarda Neuro Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Federico Carimati
- grid.412972.bNeurology Unit, Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, Varese, Italy
| | - Davide Sangalli
- grid.413175.50000 0004 0493 6789Neurology Unit, Ospedale “A. Manzoni”, ASST Lecco, Lecco, Italy
| | - Manuel Corato
- grid.417728.f0000 0004 1756 8807Emergency Neurology and Stroke Unit, IRCCS Humanitas Clinical and Research Center, Rozzano, Milan, Italy
| | - Simonetta Gerevini
- grid.460094.f0000 0004 1757 8431Department of Neuroradiology, Papa Giovanni XXIII Hospital, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Stefano Masciocchi
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy
| | - Matteo Cortinovis
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy
| | - Sara La Gioia
- grid.460094.f0000 0004 1757 8431Department of Neurology, Papa Giovanni XXIII Hospital, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Francesca Barbieri
- grid.413174.40000 0004 0493 6690Department of Neurology and Stroke Unit, Carlo Poma Hospital, ASST Mantova, Mantova, Italy
| | - Valentina Mazzoleni
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy
| | - Debora Pezzini
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy
| | - Sonia Bonacina
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy
| | - Andrea Pilotto
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy
| | - Alberto Benussi
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy
| | - Mauro Magoni
- grid.412725.7Vascular Neurology-Stroke Unit, Spedali Civili Hospital, ASST Spedali Civili, Brescia, Italy
| | - Enrico Premi
- grid.412725.7Vascular Neurology-Stroke Unit, Spedali Civili Hospital, ASST Spedali Civili, Brescia, Italy
| | | | - Elio Clemente Agostoni
- Neurology Unit and Stroke Unit, Department of Neurosciences and Niguarda Neuro Center, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Fernando Palluzzi
- grid.8982.b0000 0004 1762 5736Department of Brain and Behavioural Sciences, Statistics and Genomic Unit, University of Pavia, Pavia, Italy
| | - Valeria De Giuli
- grid.419450.dNeurology Unit, Istituti Ospitalieri, ASST Cremona, Cremona, Italy
| | - Anna Magherini
- grid.413174.40000 0004 0493 6690Department of Neurology and Stroke Unit, Carlo Poma Hospital, ASST Mantova, Mantova, Italy
| | - Daria Valeria Roccatagliata
- grid.413174.40000 0004 0493 6690Department of Neurology and Stroke Unit, Carlo Poma Hospital, ASST Mantova, Mantova, Italy
| | - Luisa Vinciguerra
- grid.419450.dNeurology Unit, Istituti Ospitalieri, ASST Cremona, Cremona, Italy
| | - Valentina Puglisi
- grid.419450.dNeurology Unit, Istituti Ospitalieri, ASST Cremona, Cremona, Italy
| | - Laura Fusi
- grid.512106.1Neurology Unit, Ospedale “Sant’Anna”, ASST Lariana, Como, Italy
| | - Susanna Diamanti
- grid.415025.70000 0004 1756 8604Department of Neurology, Ospedale San Gerardo, ASST Monza, Monza, Italy ,grid.7563.70000 0001 2174 1754Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Francesco Santangelo
- grid.415025.70000 0004 1756 8604Department of Neurology, Ospedale San Gerardo, ASST Monza, Monza, Italy ,grid.7563.70000 0001 2174 1754Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Rubjona Xhani
- grid.512106.1Neurology Unit, Ospedale “Sant’Anna”, ASST Lariana, Como, Italy
| | - Federico Pozzi
- grid.512106.1Neurology Unit, Ospedale “Sant’Anna”, ASST Lariana, Como, Italy
| | - Giampiero Grampa
- grid.512106.1Neurology Unit, Ospedale “Sant’Anna”, ASST Lariana, Como, Italy
| | - Maurizio Versino
- grid.412972.bNeurology Unit, Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, Varese, Italy
| | - Andrea Salmaggi
- grid.413175.50000 0004 0493 6789Neurology Unit, Ospedale “A. Manzoni”, ASST Lecco, Lecco, Italy
| | - Simona Marcheselli
- grid.417728.f0000 0004 1756 8807Emergency Neurology and Stroke Unit, IRCCS Humanitas Clinical and Research Center, Rozzano, Milan, Italy
| | - Anna Cavallini
- Stroke Unit, IRCCS Fondazione “C. Mondino”, Pavia, Italy
| | - Alessia Giossi
- grid.419450.dNeurology Unit, Istituti Ospitalieri, ASST Cremona, Cremona, Italy
| | - Bruno Censori
- grid.419450.dNeurology Unit, Istituti Ospitalieri, ASST Cremona, Cremona, Italy
| | - Carlo Ferrarese
- grid.415025.70000 0004 1756 8604Department of Neurology, Ospedale San Gerardo, ASST Monza, Monza, Italy ,grid.7563.70000 0001 2174 1754Department of Medicine and Surgery and Milan Center for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Alfonso Ciccone
- grid.413174.40000 0004 0493 6690Department of Neurology and Stroke Unit, Carlo Poma Hospital, ASST Mantova, Mantova, Italy
| | - Maria Sessa
- grid.460094.f0000 0004 1757 8431Department of Neurology, Papa Giovanni XXIII Hospital, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Alessandro Padovani
- grid.7637.50000000417571846Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili, 1, 25123 Brescia, Italy
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13
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Ischemic stroke associated with COVID-19: a systematic review and meta-analysis. J Neurol 2022; 269:1731-1740. [PMID: 34652503 PMCID: PMC8517946 DOI: 10.1007/s00415-021-10837-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/01/2021] [Accepted: 10/05/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19), a contagious infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread across the world. Apart from respiratory complications, an increasing number of patients with ischemic stroke have been reporting. OBJECTIVE This systematic review and meta-analysis aims to explore the characteristics of ischemic stroke after SARS-CoV-2 infection, and provides valuable reference materials for subsequent clinical treatment. MATERIALS AND METHODS PubMed, Web of Science, and Ovid-Embase databases were searched up to 24th March 2021. We utilized the search strategy of medical subject headings combined with entry terms to search all related literatures. All studies identified with the electronic and manual searches were listed by citation, title, authors, and abstract. Only studies involving patients with COVID-19-related stroke were eligible. The references of included studies were also manually screened. RESULTS The meta-analysis was conducted following the PRISMA and MOOSE reporting guidelines. Bias risk was assessed using the Newcastle-Ottawa Scale (NOS). Ten articles, including 26,691 participants and 280 patients with ischemic stroke and COVID-19, were selected. The pooled prevalence of ischemic stroke in COVID-19 was 2% (95% CI 1-2%; p < 0.01). The pooled proportions of hypertension, hyperlipidemia and diabetes in COVID-19-related ischemic stroke was 66% (95% CI 51-81%; p < 0.01), 48% (95% CI 19-76%; p < 0.01) and 40% (95% CI 29-51%; p < 0.01), respectively. Notably, the pooled proportions of female was 36% (95% CI 21-50%; p < 0.01) in patients with COVID-19 and stroke. In addition, in TOAST classification, cryptogenic stroke subtype was associated with a high trend, and its pooled proportion was 35% (95% CI 12-59%; p < 0.01). CONCLUSION Ischemic stroke caused by COVID-19 has its own unique clinical features. Although common high-risk factors can also be observed, its importance may have changed. The major inflammatory storm of COVID-19 is more likely to occur in male patients. The increase in the proportion of cryptogenic stroke has also made stroke related to COVID-19 complicated.
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14
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You Y, Niu Y, Sun F, Zhang J, Huang S, Ding P, Wang X. Impact of COVID-19 pandemic on haemorrhagic stroke admissions: a systematic review and meta-analysis. BMJ Open 2021; 11:e050559. [PMID: 34907050 PMCID: PMC8671851 DOI: 10.1136/bmjopen-2021-050559] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND AND PURPOSE COVID-19 pandemic, a global health crisis, is disrupting the present medical environment. This systematic review and meta-analysis aimed to evaluate the impact of the COVID-19 pandemic on stroke hospitalisations, especially haemorrhagic stroke. METHODS The EMBASE, PubMed, Web of Science, Elsevier, Medline, Cochrane Library and Google Scholar electronic databases were searched for all relevant studies. Two researchers independently screened the studies, extracted data and assessed the quality of the included studies. Odds ratio (OR), total events, OR and 95% CI were considered as the effect size. A fixed-effects model was used to pool the study-specific estimate. The present study was performed by using Review Manager (V.5.3.0) software. We assessed the risk of bias using the Newcastle-Ottawa Scale. RESULTS A total of 17 studies with 14 445 cases were included. Overall, the number of stroke admissions is lower in the pandemic period versus the control period (6252 vs 8193). The difference of haemorrhagic stroke is significant, with 1233 of 6252 cases in the pandemic group and 1621 of 8193 cases in the control group. Intracerebral haemorrhage is present in 461 of 1948 cases in the pandemic group and 618 of 2734 cases in the control group. As for subarachnoid haemorrhage, the difference between the two groups is significant, with 70 of 985 cases in the pandemic group and 202 of 1493 cases in the control group. CONCLUSIONS The number of stroke admissions is lower in the pandemic period compared with the control period. There is a higher rate of haemorrhagic stroke in the pandemic period. Subgroup analysis identifies a significant increase in the occurrence of intracerebral haemorrhage in the pandemic period. Due to limited data and the impact of a single article, the impact of COVID-19 pandemic on subarachnoid haemorrhage is unclear.
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Affiliation(s)
- Yijie You
- Department of Neurosurgery, Shanghai Jiaotong University School of Medicine, Xinhua Hospital Chongming Branch, Shanghai, China
| | - Yunlian Niu
- Department of Neurology, Shanghai Jiaotong University School of Medicine, Xinhua Hospital Chongming Branch, Shanghai, China
| | - Fengbing Sun
- Department of Neurosurgery, Shanghai Jiaotong University School of Medicine, Xinhua Hospital Chongming Branch, Shanghai, China
| | - Jian Zhang
- Department of Neurosurgery, Shanghai Jiaotong University School of Medicine, Xinhua Hospital Chongming Branch, Shanghai, China
| | - Sheng Huang
- Department of Neurosurgery, Shanghai Jiaotong University School of Medicine, Xinhua Hospital Chongming Branch, Shanghai, China
| | - Peiyuan Ding
- Department of Neurosurgery, Shanghai Jiaotong University School of Medicine, Xinhua Hospital Chongming Branch, Shanghai, China
| | - Xuhui Wang
- Department of Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
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15
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Katsanos AH, Palaiodimou L, Zand R, Yaghi S, Kamel H, Navi BB, Turc G, Benetou V, Sharma VK, Mavridis D, Shahjouei S, Catanese L, Shoamanesh A, Vadikolias K, Tsioufis K, Lagiou P, Sfikakis PP, Alexandrov AV, Tsiodras S, Tsivgoulis G. Changes in Stroke Hospital Care During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis. Stroke 2021; 52:3651-3660. [PMID: 34344166 PMCID: PMC8547579 DOI: 10.1161/strokeaha.121.034601] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND PURPOSE We systematically evaluated the impact of the coronavirus 2019 (COVID-19) pandemic on stroke care across the world. METHODS Observational studies comparing characteristics, acute treatment delivery, or hospitalization outcomes between patients with stroke admitted during the COVID-19 pandemic and those admitted before the pandemic were identified by Medline, Scopus, and Embase databases search. Random-effects meta-analyses were conducted for all outcomes. RESULTS We identified 46 studies including 129 491 patients. Patients admitted with stroke during the COVID-19 pandemic were found to be younger (mean difference, -1.19 [95% CI, -2.05 to -0.32]; I2=70%) and more frequently male (odds ratio, 1.11 [95% CI, 1.01-1.22]; I2=54%) compared with patients admitted with stroke in the prepandemic era. Patients admitted with stroke during the COVID-19 pandemic, also, had higher baseline National Institutes of Health Stroke Scale scores (mean difference, 0.55 [95% CI, 0.12-0.98]; I2=90%), higher probability for large vessel occlusion presence (odds ratio, 1.63 [95% CI, 1.07-2.48]; I2=49%) and higher risk for in-hospital mortality (odds ratio, 1.26 [95% CI, 1.05-1.52]; I2=55%). Patients with acute ischemic stroke admitted during the COVID-19 pandemic had higher probability of receiving endovascular thrombectomy treatment (odds ratio, 1.24 [95% CI, 1.05-1.47]; I2=40%). No difference in the rates of intravenous thrombolysis administration or difference in time metrics regarding onset to treatment time for intravenous thrombolysis and onset to groin puncture time for endovascular thrombectomy were detected. CONCLUSIONS The present systematic review and meta-analysis indicates an increased prevalence of younger patients, more severe strokes attributed to large vessel occlusion, and higher endovascular treatment rates during the COVID-19 pandemic. Patients admitted with stroke during the COVID-19 pandemic had higher in-hospital mortality. These findings need to be interpreted with caution in view of discrepant reports and heterogeneity being present across studies.
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Affiliation(s)
- Aristeidis H Katsanos
- Division of Neurology, McMaster University/Population Health Research Institute, Hamilton, Canada (A.H.K., L.C., A.S.).,Second Department of Neurology, "Attikon" Hospital, School of Medicine, National and Kapodistrian University of Athens, Greece (A.H.K., L.P., G. Tsivgoulis.)
| | - Lina Palaiodimou
- Second Department of Neurology, "Attikon" Hospital, School of Medicine, National and Kapodistrian University of Athens, Greece (A.H.K., L.P., G. Tsivgoulis.)
| | - Ramin Zand
- Neurosience Institute, Geisinger Health System, Danville, Pennsylvania (R.Z., S.S.)
| | - Shadi Yaghi
- Department of Neurology, NYU Langone Health, NY (S.Y.)
| | - Hooman Kamel
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, NY (H.K., B.B.N.)
| | - Babak B Navi
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, NY (H.K., B.B.N.)
| | - Guillaume Turc
- Department of Neurology, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, France (G. Turc).,Université de Paris, France (G. Turc).,INSERM U1266, Paris, France (G. Turc).,FHU Neurovasc, Paris, France (G. Turc)
| | - Vassiliki Benetou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Greece (V.B., P.L.)
| | - Vijay K Sharma
- Division of Neurology, Department of Medicine, National University Hospital, Singapore and School of Medicine, National University of Singapore (V.K.S.)
| | - Dimitris Mavridis
- Department of Primary Education, University of Ioannina, Greece (D.M.).,Université Paris Descartes, Faculté de Médecine, France (D.M.)
| | - Shima Shahjouei
- Neurosience Institute, Geisinger Health System, Danville, Pennsylvania (R.Z., S.S.)
| | - Luciana Catanese
- Division of Neurology, McMaster University/Population Health Research Institute, Hamilton, Canada (A.H.K., L.C., A.S.)
| | - Ashkan Shoamanesh
- Division of Neurology, McMaster University/Population Health Research Institute, Hamilton, Canada (A.H.K., L.C., A.S.)
| | - Konstantinos Vadikolias
- Department of Neurology, School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece (K.V.)
| | - Konstantinos Tsioufis
- First Department of Cardiology, Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, Greece (K.T.)
| | - Pagona Lagiou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Greece (V.B., P.L.).,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (P.L.)
| | - Petros P Sfikakis
- Joint Rheumatology Program, First Department of Propaedeutic and Internal Medicine, Medical School, National and Kapodistrian University of Athens, Greece (P.P.S.)
| | - Andrei V Alexandrov
- Department of Neurology, University of Tennessee Health Science Center, Memphis (A.V.A., G. Tsivgoulis)
| | - Sotirios Tsiodras
- Fourth Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Greece (S.T.).,National Public Health Organization of Greece, Athens (S.T.)
| | - Georgios Tsivgoulis
- Second Department of Neurology, "Attikon" Hospital, School of Medicine, National and Kapodistrian University of Athens, Greece (A.H.K., L.P., G. Tsivgoulis.).,Department of Neurology, University of Tennessee Health Science Center, Memphis (A.V.A., G. Tsivgoulis)
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16
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Cao W, Zhang C, Wang H, Wu Q, Yuan Y, Chen J, Geng S, Zhang X. Ischemic Stroke: An Underestimated Complication of COVID-19. Aging Dis 2021; 12:691-704. [PMID: 34094634 PMCID: PMC8139195 DOI: 10.14336/ad.2021.0209] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 02/09/2021] [Indexed: 12/20/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) has spread rapidly as a pandemic around the world. In addition to severe acute respiratory syndrome, more and more studies have focused on the complication of COVID-19, especially ischemic stroke. Here, we propose several pathophysiological processes and possible mechanisms underlying ischemic stroke after COVID-19 for early prevention and better treatment of COVID-19-related stroke.
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Affiliation(s)
- Wen Cao
- Department of Neurology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Vascular Homeostasis and Hebei Collaborative Innovation Center for Cardio-cerebrovascular Disease, Shijiazhuang, Hebei, China
| | - Cong Zhang
- Department of Neurology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Vascular Homeostasis and Hebei Collaborative Innovation Center for Cardio-cerebrovascular Disease, Shijiazhuang, Hebei, China
| | - Huan Wang
- Department of Neurology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Vascular Homeostasis and Hebei Collaborative Innovation Center for Cardio-cerebrovascular Disease, Shijiazhuang, Hebei, China
| | - Qianqian Wu
- Department of Neurology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Vascular Homeostasis and Hebei Collaborative Innovation Center for Cardio-cerebrovascular Disease, Shijiazhuang, Hebei, China
| | - Yujia Yuan
- Department of Neurology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Vascular Homeostasis and Hebei Collaborative Innovation Center for Cardio-cerebrovascular Disease, Shijiazhuang, Hebei, China
| | - Junmin Chen
- Department of Neurology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Vascular Homeostasis and Hebei Collaborative Innovation Center for Cardio-cerebrovascular Disease, Shijiazhuang, Hebei, China
| | - Shuo Geng
- Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - Xiangjian Zhang
- Department of Neurology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Vascular Homeostasis and Hebei Collaborative Innovation Center for Cardio-cerebrovascular Disease, Shijiazhuang, Hebei, China
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17
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Al-Hosani F, Al-Mazrouei S, Al-Memari S, Al-Yafei Z, Paulo MS, Koornneef E. A Review of COVID-19 Mass Testing in the United Arab Emirates. Front Public Health 2021; 9:661134. [PMID: 34055725 PMCID: PMC8149747 DOI: 10.3389/fpubh.2021.661134] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 04/13/2021] [Indexed: 11/15/2022] Open
Abstract
Appropriate diagnostic testing to identify persons infected with SARS-COV-2 is a vital part of a health system's ability to control the global pandemic of COVID-19 disease. The primary purpose of this review is to provide an overview of the mass testing strategy implemented throughout the UAE and the overall impact it has made on containing and controlling the spread of the disease. This study describes the mass testing strategy and capacity of the UAE during the pandemic of the new coronavirus SARS-COV-2. The UAE has conducted 15 million polymerase chain reaction (PCR) tests to SARS-COV-2, as of 15 November 2020. The number of tests per day varied from 10,000 by the end of March to 120,000 tests per day in November 2020. The mass testing initiative across the entire UAE forms an integral part of a bigger strategy focusing on testing, tracing contacts and isolating positive cases.
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Affiliation(s)
| | | | | | - Zain Al-Yafei
- Abu Dhabi Health Services Company – SEHA, Abu Dhabi, United Arab Emirates
| | - Marília Silva Paulo
- College of Medicine & Health Sciences, Institute of Public Health, UAE University, Al Ain, United Arab Emirates
| | - Erik Koornneef
- College of Medicine & Health Sciences, Institute of Public Health, UAE University, Al Ain, United Arab Emirates
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18
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Zhang M, Zhou J, Dirlikov B, Cage T, Lee M, Singh H. Impact on neurosurgical management in Level 1 trauma centers during COVID-19 shelter-in-place restrictions: The Santa Clara County experience. J Clin Neurosci 2021; 88:128-134. [PMID: 33992171 DOI: 10.1016/j.jocn.2021.03.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/26/2021] [Accepted: 03/11/2021] [Indexed: 11/29/2022]
Abstract
Early COVID-19-targeted legislations reduced public activity and elective surgery such that local neurosurgical care greatly focused on emergent needs. This study examines neurosurgical trauma patients' dispositions through two neighboring trauma centers to inform resource allocation. We conducted a retrospective review of the trauma registries for two Level 1 Trauma Centers in Santa Clara County, one academic and one community center, between February 1st and April 15th, 2018-2020. Events before a quarantine, implemented on March 16th, 2020, and events from 2018 to 19 were used for reference. Encounters were characterized by injuries, services, procedures, and disposition. Categorical variables were analyzed by the χ2 test, proportions of variables by z-score test, and non-parametric variables by Fisher's exact test. A total of 1,336 traumas were identified, with 31% from the academic center and 69% from the community center. During the post-policy period, relative to matching periods in years prior, there was a decrease in number of TBI and spinal fractures (24% versus 41%, p < 0.001) and neurosurgical consults (27% versus 39%, p < 0.003), but not in number of neurosurgical admissions or procedures. There were no changes in frequency of neurosurgery consults among total traumas, patients triaged to critical care services, or patients discharged to temporary rehabilitation services. Neurosurgical services were similarly rendered between the academic and community hospitals. This study describes neurosurgical trauma management in a suburban healthcare network immediately following restrictive quarantine during a moderate COVID-19 outbreak. Our data shows that neurosurgery remains a resource-intensive subspeciality, even during restrictive periods when overall trauma volume is decreased.
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Affiliation(s)
- Michael Zhang
- Department of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94305, USA
| | - James Zhou
- California Northstate University College of Medicine, 9700 W Taron Drive, Elk Grove, CA 95757, USA; Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA
| | - Ben Dirlikov
- Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA
| | - Tene Cage
- Department of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94305, USA; Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA
| | - Marco Lee
- Department of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94305, USA; Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA
| | - Harminder Singh
- Department of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Palo Alto, CA 94305, USA; Department of Neurosurgery, Santa Clara Valley Medical Center, 751 S Bascom Ave, San Jose, CA 95128, USA.
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19
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Reddy ST, Satani N, Beauchamp JES, Selvaraj S, Rajan SS, Rahbar MH, Tahanan A, Kim S, Holder T, Jiang X, Chen L, Kamal H, Indupuru HKR, Wu T, Savitz SI. A meta-analysis of the global impact of the COVID-19 pandemic on stroke care & the Houston Experience. Ann Clin Transl Neurol 2021; 8:929-937. [PMID: 33616305 PMCID: PMC8014129 DOI: 10.1002/acn3.51322] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 01/28/2021] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE To review the global impact of the COVID-19 pandemic on stroke care-metrics and report data from a health system in Houston. METHODS We performed a meta-analysis of the published literature reporting stroke admissions, intracerebral hemorrhage (ICH) cases, number of thrombolysis (tPA) and thrombectomy (MT) cases, and time metrics (door to needle, DTN; and door to groin time, DTG) during the pandemic compared to prepandemic period. Within our hospital system, between January-June 2019 and January-June 2020, we compared the proportion of stroke admissions and door to tPA and MT times. RESULTS A total of 32,640 stroke admissions from 29 studies were assessed. Compared to prepandemic period, the mean ratio of stroke admissions during the pandemic was 70.78% [95% CI, 65.02%, 76.54%], ICH cases was 83.10% [95% CI, 71.01%, 95.17%], tPA cases was 81.74% [95% CI, 72.33%, 91.16%], and MT cases was 88.63% [95% CI, 74.12%, 103.13%], whereas DTN time was 104.48% [95% CI, 95.52%, 113.44%] and DTG was 104.30% [95% CI, 81.99%, 126.61%]. In Houston, a total of 4808 cases were assessed. There was an initial drop of ~30% in cases at the pandemic onset. Compared to 2019, there was a significant reduction in mild strokes (NIHSS 1-5) [N (%), 891 (43) vs 635 (40), P = 0.02]. There were similar mean (SD) (mins) DTN [44 (17) vs 42 (17), P = 0.14] but significantly prolonged DTG times [94 (15) vs 85 (20), P = 0.005] in 2020. INTERPRETATION The COVID-19 pandemic led to a global reduction in stroke admissions and treatment interventions and prolonged treatment time metrics.
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Affiliation(s)
- Sujan T. Reddy
- Department of NeurologyMercy HospitalFort SmithArkansasUSA
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Nikunj Satani
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Jennifer E. S. Beauchamp
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
- Cizik School of Nursing at UTHealth Department of ResearchHoustonTexasUSA
| | - Sudhakar Selvaraj
- Louis Faillace, MD, Department of Psychiatry and Behavioral SciencesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Suja S. Rajan
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
- Department of Management, Policy and Community HealthSchool of Public HealthUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Mohammad H. Rahbar
- Biostatistics/Epidemiology/Research Design CoreCenter for Clinical and Translational SciencesUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Amirali Tahanan
- Biostatistics/Epidemiology/Research Design CoreCenter for Clinical and Translational SciencesUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Sori Kim
- Biostatistics/Epidemiology/Research Design CoreCenter for Clinical and Translational SciencesUniversity of Texas Health Science Center at HoustonTexasUSA
- Department of Biostatistics and Data ScienceSchool of Public HealthUniversity of Texas Health Science Center at HoustonTexasUSA
| | | | - Xiaoqian Jiang
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Luyao Chen
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Haris Kamal
- Department of NeurosurgeryWestchester Medical CenterNew YorkUSA
| | - Hari Kishan R. Indupuru
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Tzu‐Ching Wu
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
| | - Sean I. Savitz
- Institute for Stroke and Cerebrovascular DiseasesMcGovern Medical SchoolUniversity of Texas Health Science Center at HoustonTexasUSA
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20
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Venketasubramanian N, Anderson C, Ay H, Aybek S, Brinjikji W, de Freitas GR, Del Brutto OH, Fassbender K, Fujimura M, Goldstein LB, Haberl RL, Hankey GJ, Heiss WD, Lestro Henriques I, Kase CS, Kim JS, Koga M, Kokubo Y, Kuroda S, Lee K, Lee TH, Liebeskind DS, Lip GYH, Meairs S, Medvedev R, Mehndiratta MM, Mohr JP, Nagayama M, Pantoni L, Papanagiotou P, Parrilla G, Pastori D, Pendlebury ST, Pettigrew LC, Renjen PN, Rundek T, Schminke U, Shinohara Y, Tang WK, Toyoda K, Wartenberg KE, Wasay M, Hennerici MG. Stroke Care during the COVID-19 Pandemic: International Expert Panel Review. Cerebrovasc Dis 2021; 50:245-261. [PMID: 33756459 PMCID: PMC8089455 DOI: 10.1159/000514155] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/16/2020] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) has placed a tremendous strain on healthcare services. This study, prepared by a large international panel of stroke experts, assesses the rapidly growing research and personal experience with COVID-19 stroke and offers recommendations for stroke management in this challenging new setting: modifications needed for prehospital emergency rescue and hyperacute care; inpatient intensive or stroke units; posthospitalization rehabilitation; follow-up including at-risk family and community; and multispecialty departmental developments in the allied professions. SUMMARY The severe acute respiratory syndrome coronavirus 2 uses spike proteins binding to tissue angiotensin-converting enzyme (ACE)-2 receptors, most often through the respiratory system by virus inhalation and thence to other susceptible organ systems, leading to COVID-19. Clinicians facing the many etiologies for stroke have been sobered by the unusual incidence of combined etiologies and presentations, prominent among them are vasculitis, cardiomyopathy, hypercoagulable state, and endothelial dysfunction. International standards of acute stroke management remain in force, but COVID-19 adds the burdens of personal protections for the patient, rescue, and hospital staff and for some even into the postdischarge phase. For pending COVID-19 determination and also for those shown to be COVID-19 affected, strict infection control is needed at all times to reduce spread of infection and to protect healthcare staff, using the wealth of well-described methods. For COVID-19 patients with stroke, thrombolysis and thrombectomy should be continued, and the usual early management of hypertension applies, save that recent work suggests continuing ACE inhibitors and ARBs. Prothrombotic states, some acute and severe, encourage prophylactic LMWH unless bleeding risk is high. COVID-19-related cardiomyopathy adds risk of cardioembolic stroke, where heparin or warfarin may be preferable, with experience accumulating with DOACs. As ever, arteritis can prove a difficult diagnosis, especially if not obvious on the acute angiogram done for clot extraction. This field is under rapid development and may generate management recommendations which are as yet unsettled, even undiscovered. Beyond the acute management phase, COVID-19-related stroke also forces rehabilitation services to use protective precautions. As with all stroke patients, health workers should be aware of symptoms of depression, anxiety, insomnia, and/or distress developing in their patients and caregivers. Postdischarge outpatient care currently includes continued secondary prevention measures. Although hoping a COVID-19 stroke patient can be considered cured of the virus, those concerned for contact safety can take comfort in the increasing use of telemedicine, which is itself a growing source of patient-physician contacts. Many online resources are available to patients and physicians. Like prior challenges, stroke care teams will also overcome this one. Key Messages: Evidence-based stroke management should continue to be provided throughout the patient care journey, while strict infection control measures are enforced.
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Affiliation(s)
| | - Craig Anderson
- The George Institute for Global Health, Camperdown, Washington, Australia
| | - Hakan Ay
- Departments of Neurology and Radiology, Massachusetts General Hospital, Harvard School of Medicine, Boston, Massachusetts, USA
- Takeda Pharmaceutical Co. Limited, Cambridge, Massachusetts, USA
| | - Selma Aybek
- Department of Neurology, University Hospital Inselspital, Bern University, Bern, Switzerland
| | - Waleed Brinjikji
- Department of Radiology, Vascular Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Gabriel R de Freitas
- Instituto D'Or de Pesquisa e Ensino (IDOR), Rio de Janeiro, Brazil
- Department of Neurology, Universidade Federal Fluminense (UFF), Niterói, Brazil
| | - Oscar H Del Brutto
- School of Medicine, Universidad Espiritu Santo-Ecuador, Samborondón, Ecuador
| | - Klaus Fassbender
- Department of Neurology, Saarland University Medical Centre, Homburg, Germany
| | - Miki Fujimura
- Department of Neurosurgery, Kohnan Hospital, Sendai, Japan
- Division of Advanced Cerebrovascular Surgery, Tohoku University School of Medicine, Sendai, Japan
| | - Larry B Goldstein
- Department of Neurology, University of Kentucky, Lexington, Kentucky, USA
| | - Roman L Haberl
- Department of Neurology and Neurological Intensive Medicine, Munich Clinic gGmbH, Academic Teaching Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
| | - Graeme J Hankey
- Medical School, The University of Western Australia, Perth, Washington, Australia
| | | | - Isabel Lestro Henriques
- Department of Neurosciences, Neurology Service, Centro Hospitalar Universitário Lisboa Central, Lisboa, Portugal
| | - Carlos S Kase
- Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jong S Kim
- Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Satoshi Kuroda
- Department of Neurosurgery, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Kiwon Lee
- Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA
| | - Tsong-Hai Lee
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - David S Liebeskind
- Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Stephen Meairs
- Department of Neurology, Universitätsmedizin Mannheim, Mannheim, Germany
| | - Roman Medvedev
- Research Center of Neurology, Moscow, Russian Federation
| | | | - Jay P Mohr
- Tananbaum Stroke Center, New York, New York, USA
| | - Masao Nagayama
- Department of Neurology, International University of Health and Welfare(IUHW), Graduate School of Medicine, Tokyo, Japan
| | - Leonardo Pantoni
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Panagiotis Papanagiotou
- Department of Diagnostic and Interventional Neuroradiology, Klinikum Bremen-Mitte, Germany
- Aretaieion University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Guillermo Parrilla
- Department of Neurology, Interventional Neuroradiology, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Daniele Pastori
- Department of Clinical, Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy
| | - Sarah T Pendlebury
- Departments of Internal Medicine and Geratology, John Radcliffe Hospital, Oxford, United Kingdom
- Centre for Prevention of Stroke and Dementia, University of Oxford, Oxford, United Kingdom
| | | | | | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Ulf Schminke
- Department of Neurology, University Medicine, Greifswald, Germany
| | | | - Wai Kwong Tang
- Department of Psychiatry, Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan
| | | | - Mohammad Wasay
- Department of Medicine, Aga Khan University, Karachi, Pakistan
| | - Michael G Hennerici
- Department of Neurology, Medical Faculty, Mannheim University of Heidelberg, Mannheim, Germany
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21
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Beyrouti R, Best JG, Chandratheva A, Perry RJ, Werring DJ. Characteristics of intracerebral haemorrhage associated with COVID-19: a systematic review and pooled analysis of individual patient and aggregate data. J Neurol 2021; 268:3105-3115. [PMID: 33547527 PMCID: PMC7864476 DOI: 10.1007/s00415-021-10425-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/18/2021] [Accepted: 01/22/2021] [Indexed: 02/07/2023]
Abstract
Background and purpose There are very few studies of the characteristics and causes of ICH in COVID-19, yet such data are essential to guide clinicians in clinical management, including challenging anticoagulation decisions. We aimed to describe the characteristics of spontaneous symptomatic intracerebral haemorrhage (ICH) associated with COVID-19. Methods We systematically searched PubMed, Embase and the Cochrane Central Database for data from patients with SARS-CoV-2 detected prior to or within 7 days after symptomatic ICH. We did a pooled analysis of individual patient data, then combined data from this pooled analysis with aggregate-level data. Results We included data from 139 patients (98 with individual data and 41 with aggregate-level data). In our pooled individual data analysis, the median age (IQR) was 60 (53–67) years and 64% (95% CI 54–73.7%) were male; 79% (95% CI 70.0–86.9%) had critically severe COVID-19. The pooled prevalence of lobar ICH was 67% (95% CI 56.3–76.0%), and of multifocal ICH was 36% (95% CI 26.4–47.0%). 71% (95% CI 61.0–80.4%) of patients were treated with anticoagulation (58% (95% CI 48–67.8%) therapeutic). The median NIHSS was 28 (IQR 15–28); mortality was 54% (95% CI 43.7–64.2%). Our combined analysis of individual and aggregate data showed similar findings. The pooled incidence of ICH across 12 cohort studies of inpatients with COVID-19 (n = 63,390) was 0.38% (95% CI 0.22–0.58%). Conclusions Our data suggest that ICH associated with COVID-19 has different characteristics compared to ICH not associated with COVID-19, including frequent lobar location and multifocality, a high rate of anticoagulation, and high mortality. These observations suggest different underlying mechanisms of ICH in COVID-19 with potential implications for clinical treatment and trials. Supplementary Information The online version contains supplementary material available at 10.1007/s00415-021-10425-9.
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Affiliation(s)
- R Beyrouti
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK
| | - J G Best
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, First Floor, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK
| | - A Chandratheva
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.,Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, First Floor, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK
| | - R J Perry
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.,Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, First Floor, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK
| | - D J Werring
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK. .,Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, First Floor, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK.
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22
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Syahrul S, Maliga HA, Ilmawan M, Fahriani M, Mamada SS, Fajar JK, Frediansyah A, Syahrul FN, Imran I, Haris S, Rambe AS, Emran TB, Rabaan AA, Tiwari R, Dhama K, Nainu F, Mutiawati E, Harapan H. Hemorrhagic and ischemic stroke in patients with coronavirus disease 2019: incidence, risk factors, and pathogenesis - a systematic review and meta-analysis. F1000Res 2021; 10:34. [PMID: 33708378 PMCID: PMC7934095 DOI: 10.12688/f1000research.42308.1] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/08/2021] [Indexed: 12/17/2022] Open
Abstract
Background: In this study, we aimed to determine the global prevalence, chronological order of symptom appearance, and mortality rates with regard to hemorrhagic and ischemic stroke in patients with coronavirus disease 2019 (COVID-19) and to discuss possible pathogeneses of hemorrhagic and ischemic stroke in individuals with the disease. Methods: We searched the PubMed, Scopus, and Web of Science databases for relevant articles published up to November 8, 2020. Data regarding study characteristics, hemorrhagic stroke, ischemic stroke, and COVID-19 were retrieved in accordance with the PRISMA guidelines. The Newcastle-Ottawa scale was used to assess the quality of the eligible studies. The pooled prevalence and mortality rate of hemorrhagic and ischemic stroke were calculated. Results: The pooled estimate of prevalence of hemorrhagic stroke was 0.46% (95% CI 0.40%–0.53%;
I
2=89.81%) among 67,155 COVID-19 patients and that of ischemic stroke was 1.11% (95% CI 1.03%–1.22%;
I
2=94.07%) among 58,104 COVID-19 patients. Ischemic stroke was more predominant (incidence: 71.58%) than hemorrhagic stroke (incidence: 28.42%) in COVID-19 patients who experienced a stroke. In COVID-19 patients who experienced a stroke, hospital admission with respiratory symptoms was more commonly reported than that with neurological symptoms (20.83% for hemorrhagic stroke and 5.51% for ischemic stroke versus
6.94% for hemorrhagic stroke and 5.33% for ischemic stroke, respectively). The pooled mortality rate of COVID-19 patients who experienced a hemorrhagic and ischemic stroke was 44.72% (95% CI 36.73%–52.98%) and 36.23% (95% CI 30.63%–42.24%), respectively. Conclusions: Although the occurrence of hemorrhagic and ischemic stroke is low, the mortality rates of both stroke types in patients with COVID-19 are concerning, and therefore, despite several potential pathogeneses that have been proposed, studies aimed at definitively elucidating the mechanisms of hemorrhagic and ischemic stroke in individuals with COVID-19 are warranted. PROSPERO registration: CRD42020224470 (04/12/20)
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Affiliation(s)
- Syahrul Syahrul
- Department of Neurology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh, 23111, Indonesia.,Department of Neurology, Dr. Zainoel Abidin Hospital, Banda Aceh, Aceh, 23111, Indonesia
| | | | - Muhammad Ilmawan
- Faculty of Medicine, Universitas Brawijaya, Malang, East Java, 65117, Indonesia
| | - Marhami Fahriani
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh, 23111, Indonesia
| | - Sukamto S Mamada
- Faculty of Pharmacy, Hasanuddin University, Makassar, South Sulawesi, 90245, Indonesia
| | - Jonny Karunia Fajar
- Faculty of Medicine, Universitas Brawijaya, Malang, East Java, 65117, Indonesia.,Brawijaya Internal Medicine Research Center, Department of Internal Medicine, Faculty of Medicine, Universitas Brawijaya, Malang, East Java, 65145, Indonesia
| | - Andri Frediansyah
- Research Division for Natural Product Technology (BPTBA), Indonesian Institute of Sciences (LIPI), Wonosari, 55861, Indonesia
| | - Faza Nabila Syahrul
- Department of Neurology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh, 23111, Indonesia
| | - Imran Imran
- Department of Neurology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh, 23111, Indonesia.,Department of Neurology, Dr. Zainoel Abidin Hospital, Banda Aceh, Aceh, 23111, Indonesia
| | - Salim Haris
- Department of Neurology, Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia
| | - Aldy Safruddin Rambe
- Department of Neurology, Faculty of Medicine, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia
| | - Talha Bin Emran
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong-4381, Bangladesh
| | - Ali A Rabaan
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran, 31311, Saudi Arabia
| | - Ruchi Tiwari
- Department of Veterinary Microbiology and Immunology, College of Veterinary Sciences, UP Pandit Deen Dayal Upadhayay Pashu Chikitsa Vigyan Vishwavidyalay Evum Go-Anusandhan Sansthan (DUVASU), Mathura, Uttar Pradesh, 281 001, India
| | - Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh, 243122, India
| | - Firzan Nainu
- Faculty of Pharmacy, Hasanuddin University, Makassar, South Sulawesi, 90245, Indonesia
| | - Endang Mutiawati
- Department of Neurology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh, 23111, Indonesia.,Department of Neurology, Dr. Zainoel Abidin Hospital, Banda Aceh, Aceh, 23111, Indonesia
| | - Harapan Harapan
- Medical Research Unit, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh, 23111, Indonesia.,Department of Microbiology, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh, 23111, Indonesia.,Tropical Disease Centre, School of Medicine, Universitas Syiah Kuala, Banda Aceh, Aceh, 23111, Indonesia
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