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      Long-term neurological symptoms after acute COVID-19 illness requiring hospitalization in adult patients: insights from the ISARIC-COVID-19 follow-up study

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          Abstract

          Dear Editor, Coronavirus disease-2019 (COVID-19) has devastated healthcare systems and public health globally [1]. Many patients develop a wide spectrum of persisting or new symptoms 3 months after the acute COVID-19 illness (long-COVID-19), and these symptoms can persist for at least 2 months [2, 3]. There is significant variability in the definitions with the lack of standardization and hence the reported frequency of long-COVID-19 also varies. Furthermore, there is sparser data with a significant heterogeneity on neurological long-COVID-19 symptoms [4]. Neurological manifestations represent a possible presentation of long-COVID-19 [5–7]. Data on the type of symptoms and prevalence of neurological long-COVID-19 are still in evolution [1, 5]. Hence, a clear understanding of neurological long-COVID-19 would aid healthcare systems in implementing health resources to measure and manage this global healthcare burden. Herein, in this study we aimed to characterize the type and prevalence of neurological symptoms related to neurological long-COVID-19 from a large international multicenter cohort of adults after discharge from hospital for acute COVID-19. This is an international, multicenter, prospective, observational cohort using the ISARIC WHO COVID-19 Clinical Characterization Protocol, approved by the WHO Ethics Committee (RPC571 and RPC572). Local Ethics approval was obtained from participating centers according to local regulatory rules as appropriate. Inclusion criteria were: patients ≥ 18 years-old; patients previously admitted to hospital with COVID-19; follow-up data available at least 1-month post- discharge from hospital or health center; person (or family member/next of kin for patients who lack capacity) consent to participate. The case report form (CRF) was completed as a patient self-assessment through an online link, telephone interview, or in-clinic. Data were collected as first presentation of symptoms and persistent presentation. First presentation described participants who did not have neurological symptoms at hospitalization. Persistent presentation is persistence of symptoms among those who had neurological symptoms evaluated at initial hospitalization. Survey follow-up was defined as three monthly intervals from post-discharge follow-up, up to 12 months. Six main neurological symptoms were collected during hospitalization and follow-up. Additional neurological symptoms were collected at follow-up only. Specifics of survey schematic overview of the follow-up data time frame are reported in Supplementary Material (SM) Item S1. Follow-up asking for new or persistent neurological symptoms has been performed by phone call or in-person interview at each time point: 1–3 months, 4–6 months, 7–9 months, and 10–12 months. Main neurological symptoms included confusion, anosmia, ageusia, fatigue/malaise, muscle aches/joint pain, and seizures. Additional neurological symptoms included dizziness, erectile dysfunction, fainting/ blackouts, headache, loss of sensation, muscle weakness, paresthesia, problems seeing, problems speaking or communicating, problems swallowing or chewing, problems with balance, tinnitus, and tremors. Observed prevalence of neurological symptoms were estimated based on survey follow-up time, age at disease onset and sex. Unadjusted symptom prevalence by survey follow-up period was summarized as percentages with 95% confidence intervals (CIs), assuming a Gamma distribution. Symptom prevalence estimates were stratified by initial versus repeat follow-up assessment. Period prevalence by follow-up was also calculated. Symptom prevalence by age and sex was examined by logistic regression. Regression models with neurological symptoms as an outcome included fixed effects for sex and age, and their interaction, nested within the survey follow-up period. Age was modelled by polynomial terms up to order of 3. Analyses were completed in R using the lmerTest package. Overall, 11,357 adults (median age = 56 (IQR = 45 to 67) years; 42% female) with acute COVID-19 hospitalization from January 2020 to December 2022 were analyzed (SM Item S2). Frequencies are stratified by the availability of neurological signs and symptoms evaluated at disease onset/hospital admission as shown in SM Item S3. Baseline characteristics are presented in SM Item S4. Fatigue/malaise was the most frequent neurological manifestation reported at acute hospitalization with 54.9% (95%CI 53.6–56.2%), followed by muscle aches/joint pain 35.8% (95%CI 34.5–37.0%), ageusia 20.7% (95%CI 19.6–21.8%), anosmia 18.3% (95%CI 17.2–19.3%), confusion 7.9% (95%CI 7.1–8.7%), and seizures 0.9% (95%CI 0.5–1.2%). More than half (55.3%) of participants had one or more neurological symptoms during their hospitalization. At follow-up, first presentation of symptoms was found in 40.6% (95%CI = 38.0–43.4%) at 1–3 months, 39.1% (95%CI = 36.5–41.9%) at 4–6 months, 23.1% (95%CI = 19.0–27.8%) at 7–9 months, and 4.4% (95%CI = 2.4–7.4%) at 10–12 months had 1 or more neurological symptoms. Persistent presentation of symptoms was found in 53.3% (95%CI = 50.6–56.1%) at 1–3 months, 58.4% (95%CI = 56.0–60.9%) at 4–6 months, 55.4% (95%CI = 52.1–58.8%) at 7–9 months, and 40.4% (95%CI = 37.3–42.8%) at 10–12 months had 1 or more neurological symptoms. At 1–3 months, estimates of first presentation of symptoms were: fatigue/malaise 51.8% (95%CI = 48.0–55.9%), muscle aches/joint pain 18.6% (95%CI = 16.9–20.4%), ageusia 5.2% (95%CI = 4.1–6.4%), anosmia 4.1% (95%CI = 3.1–5.2%), and confusion 10.9% (95%CI = 9.6–12.4%). Estimates of persistent presentation of symptoms were: fatigue/malaise 41.9% (95%CI = 39.4–44.5%), muscle aches/joint pain 27.6% (95%CI = 25.6–29.7%), ageusia 7.9% (95%CI = 6.8–9.2%), anosmia 7.7% (95%CI = 6.6–8.9%), and confusion 19.4% (95%CI = 17.2–21.7%). At 4–6 months, estimates for first presentation of symptoms were: fatigue/malaise 50.8% (95%CI = 46.9–54.9%), muscle aches/joint pain 19.4% (95%CI = 17.6–21.3%), ageusia 3.5% (95%CI = 2.6–4.7%), anosmia 4.4% (95%CI = 3.3–5.6%), and confusion 11.5% (95%CI = 10.1–13.1%). Estimates of persistent presentation of symptoms were: fatigue/malaise 44.3% (95%CI = 42.2–46.5%), muscle aches/ joint pain 34.2% (95%CI = 32.3–36.1%), ageusia 6.7% (95%CI = 5.9–7.6%), anosmia 6.9% (95%CI = 6.1–7.8%), and confusion 29.4% (95%CI = 27.3–31.6%). At 7–9 months, estimates of first presentation of symptoms were: fatigue/malaise 26.1% (95%CI = 20.5–32.8%), muscle aches/joint pain 20.5% (95%CI = 16.9–24.7%), ageusia 3.9% (95%CI = 2.1–6.6%), anosmia 4.1% (95%CI = 2.3–6.9%), and confusion 9.4% (95%CI = 7.0–12.5%). Estimates of persistent presentation of symptoms were: fatigue/malaise 43.6% (95%CI = 40.6–46.7%), muscle aches/joint pain 30.1% (95%CI = 27.6–32.7%), ageusia 6.2% (95%CI = 5.1–7.5%), anosmia 7.1% (95%CI = 5.9–8.4%), and confusion 26.6% (95%CI = 23.9–29.5%). At 10–12 months, estimates of the first presentation of symptoms were: fatigue/malaise 3.1% (95%CI = 1.4–5.8%), muscle aches/joint pain 2.5% (95%CI = 1.1–4.9%), ageusia and anosmia 0.0%, and confusion in 2.2% (95%CI = 0.9–4.5%). Estimates of persistent presentation of symptoms were: fatigue/malaise 29.9% (95%CI = 27.6–32.4%), muscle aches/joint pain 23.1% (95%CI = 21.0–25.2%), ageusia 3.3% (95%CI = 2.6–4.2%), anosmia 3.9% (95%CI = 3.1–4.9%), and confusion 16.9% (95%CI = 15.2–18.8%). Table 1 shows estimates of first and persistent presentation of symptoms. SM Item S5 shows period prevalence of neurological symptoms post-hospital discharge. Additional symptoms assessed by survey only, not evaluated at acute hospitalization, are shown in SM Item S6. Missing data points were excluded from the analysis of each symptom. Trajectories of prevalence of neurological symptoms post-hospital discharge between males and females are shown in Fig. 1. SM Item S7 shows trajectories of prevalence of neurological symptoms post-acute onset of COVID-19 between males and females. Table 1 Observed prevalence and persistence of neurological symptoms over survey follow-up post hospital discharge Symptom* Hospitalization 1 – 3 months 4 – 6 months 7 – 9 months 10 – 12 months First presentation of symptom First presentation of symptom Repeat presentation of symptom First presentation of symptom Repeat presentation of symptom First presentation of symptom Repeat presentation of symptom First presentation of symptom Repeat presentation of symptom Confusion 7.9% (7.1% to 8.7%) 331/4190 10.9% (9.6% to 12.4%) 242/2217 19.4% (17.2% to 21.7%) 289/1493 11.5% (10.1% to 13.1%) 242/2103 29.4% (27.3% to 31.6%) 761/2589 9.4% (7.0% to 12.5%) 49/520 26.6% (23.9% to 29.5%) 351/1319 2.2% (0.9% to 4.5%) 7/323 16.9% (15.2% to 18.8%) 342/2022 Fatigue/malaise 54.9% (53.6% to 56.2%) 3172/5781 51.8% (48.0% to 55.9%) 687/1325 41.9% (39.4% to 44.5%) 1040/2483 50.8% (46.9% to 54.9%) 629/1239 44.3% (42.2% to 46.5%) 1641/3702 26.1% (20.5% to 32.8%) 74/283 43.6% (40.6% to 46.7%) 794/1822 3.1% (1.4% to 5.8%) 9/295 29.9% (27.6% to 32.4%) 618/2067 Anosmia 18.3% (17.2% to 19.3%) 964/5280 4.1% (3.1% to 5.2%) 64/1574 7.7% (6.6% to 8.9%) 173/2252 4.4% (3.3% to 5.6%) 61/1397 6.9% (6.1% to 7.8%) 245/3544 4.1% (2.3% to 6.9%) 14/339 7.1% (5.9% to 8.4%) 124/1756 0.0% (–) 0/305 3.9% (3.1% to 4.9%) 81/2058 Ageusia 20.7% (19.6% to 21.8%) 1092/5271 5.2% (4.1% to 6.4%) 81/1568 7.9% (6.8% to 9.2%) 178/2252 3.5% (2.6% to 4.7%) 50/1409 6.7% (5.9% to 7.6%) 237/3531 3.9% (2.1% to 6.6%) 13/336 6.2% (5.1% to 7.5%) 109/1756 0.0% (–) 0/305 3.3% (2.6% to 4.2%) 68/2053 Muscle aches/joint pain 35.8% (34.5% to 37.0%) 2060/5761 18.6% (16.9% to 20.4%) 439/2366 27.6% (25.6% to 29.7%) 697/2525 19.4% (17.6% to 21.3%) 426/2197 34.2% (32.3% to 36.1%) 1272/3720 20.5% (16.9% to 24.7%) 110/536 30.1% (27.6% to 32.7%) 544/1809 2.5% (1.1% to 4.9%) 8/322 23.1% (21.0% to 25.2%) 476/2063 1 or more neurological symptoms 67.5% (66.4% to 68.7%) 4231/6264 40.6% (38.0% to 43.4%) 897/2207 53.3% (50.6% to 56.1%) 1483/2783 39.1% (36.5% to 41.9%) 809/2067 58.4% (56.0% to 60.9%) 2284/3910 23.1% (19.0% to 27.8%) 112/485 55.4% (52.1% to 58.8%) 1045/1887 4.4% (2.4% to 7.4%) 14/318 40.0% (37.3% to 42.8%) 830/2075 Follow-up defined in months post hospital discharge. Data are reported as observed prevalence and 95% confidence intervals, assuming a Gamma distribution. (–): confidence interval not defined due to no cases reported. First assessment of symptoms was defined as the first time a patient completed a follow-up survey. Follow-up assessment of symptoms was defined as a patient who already completed their first survey and are being surveyed again. Estimates are stratified by first versus repeat symptom assessment to examine symptom persistence following hospital discharge. Observed prevalence at acute hospitalization is also presented Fig. 1 Observed prevalence by age and sex, months following hospital discharge. Observed prevalence of common neurological symptoms by age at hospitalization*, sex, and survey follow-up time. Follow-up time is defined in months since hospital discharge. Seizures excluded due to insufficient cases reported. Estimates presented are from a logistic regression model fitted to each symptom as the dependent variable, with fixed effects for sex (categorical), age (continuous) and their interaction. Age was modelled using polynomial terms up to order 3 The main findings of this international, multicenter, observational follow-up study are that (1) all symptoms declined over follow-up time, except confusion and insomnia; (2) among symptoms not evaluated during acute hospitalization, estimates of muscle weakness, headache, problems with balance, paresthesia, problems speaking/ communicating, dizziness, problems seeing, tremor, tinnitus, fainting, and problems swallowing/chewing gradually declined from 1–3 months to 10–12 months follow-up, whereas estimates of loss of sensation, erectile dysfunction, and problems sleeping gradually increased over time. To the best of our knowledge, this is one of the largest cohorts (11,357 subjects) reporting post-COVID-19 neurological symptoms investigating. It is noteworthy that the median age of our cohort was 56 years (IQR = 45 to 67), suggesting that most of them were actively working before acute COVID-19. This has been previously highlighted in another cohort, with many patients having difficulty returning to work and previous activities, with significant socio-economic consequences as documented previously how long-COVID-19 impacted employment and working full-time [6]. Long-term and cognitive symptoms have been previously reported in COVID-19 subjects [5]. Previous large investigations reported that around 10% of subjects diagnosed with acute COVID-19 still had symptoms after 1-year of follow-up [7]. In our cohort, fatigue/malaise, followed by muscle aches/joint pain were the most frequent neurological symptoms reported at the time of acute illness, with a trend toward decreasing frequency at each follow-up, suggesting gradual recovery of functional activities and progressive rehabilitation [8]. Interestingly, we noted a different recovery between symptoms of the central and peripheral nervous systems. Anosmia and ageusia (peripheral) disappeared completely, whereas confusion and insomnia (central) persisted. The occurrence of anosmia and ageusia is supposed to be caused by a local inflammatory response to SARS-CoV-2 infection targeting peripheral neurons. On the other hand, several systemic factors have been identified as possible responsible for central nervous system symptoms, some of them difficult to recover, including hypoxia, cerebrovascular illness, immune response, medical resources and treatments, social isolation, psychological repercussions of the pandemic, and the worry of spreading the sickness [9]. Many COVID-19 survivors were bed bound with persistent disconnection from their environment during their acute illness/hospital admission. Contributors of this status included prolonged use of sedatives and delirium during hospitalization. This may explain why we observed a trend toward increased estimates of erectile dysfunction, loss of sensation, and problems sleeping. Other common explanations for persistent neurological symptoms include residual tissue damage, viral persistence, and chronic inflammation [10], but also increasing age in patients with an underlying disease [11]. The major strength of this study is the description of the prognosis of the disease with inclusion of many subjects across 16 countries, highly representative of the general population, up to 12 months following hospital discharge [6]. Nevertheless, it is worth noting that only 22 patients were from the Americas, thus consideration of our findings in this population should be careful. Inconsistent data capture (sampling bias) and lack of rigorous definitions are a limitation. Indeed, a protocol for 12-months follow-up was not systematically implemented in all participating centers, and the data captured is rather driven by current clinical practice in each site. However, we use a large cohort with pragmatic data capturing across multiple countries that represents real-world reported observations. Lack of comparison group is a further limitation of this study. Moreover, a cluster analysis early on in our study was deemed infeasible based on the complex patterns of missing data observed (e.g., non-response to selected symptoms at initial hospitalization and/or survey follow-up; loss to follow-up). Finally, our results are based on the analysis of individual symptom prevalence. A more in-depth approach to analysis would be to instead consider patterns in co-occurring symptoms over time, for example, by cluster analysis. Given complexities in the data arising from differences in individual follow-up time and loss to follow-up, this option could not be explored. The application of clustering algorithms should be considered by future studies pending data availability. Long-COVID-19 symptoms are common and persist over time. Registry activities and rehabilitation protocols should be implemented to define the burden of long-COVID-19 globally with standardized definitions and data capture instruments and ensure adequacy of resource distribution. Availability of data and material: The data that underpin this analysis are highly detailed clinical data on individuals hospitalized with COVID-19. Due to the sensitive nature of these data and the associated privacy concerns, they are available via a governed data access mechanism following review of a data access committee. Data can be requested via the IDDO COVID-19 Data Sharing Platform (http://www.iddo.org/covid-19). The Data Access Application, Terms of Access and details of the Data Access Committee are available on the website. Briefly, the requirements for access are a request from a qualified researcher working with a legal entity who have a health and/or research remit; a scientifically valid reason for data access which adheres to appropriate ethical principles. The full terms are at https://www.iddo.org/document/covid-19-data-access-guidelines. A small subset of sites who contributed data to this analysis have not agreed to pooled data sharing as above. In the case of requiring access to these data, please contact the corresponding author in the first instance who will look to facilitate access. Supplementary Information Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 1077 KB)

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          More than 50 long-term effects of COVID-19: a systematic review and meta-analysis

          COVID-19 can involve persistence, sequelae, and other medical complications that last weeks to months after initial recovery. This systematic review and meta-analysis aims to identify studies assessing the long-term effects of COVID-19. LitCOVID and Embase were searched to identify articles with original data published before the 1st of January 2021, with a minimum of 100 patients. For effects reported in two or more studies, meta-analyses using a random-effects model were performed using the MetaXL software to estimate the pooled prevalence with 95% CI. PRISMA guidelines were followed. A total of 18,251 publications were identified, of which 15 met the inclusion criteria. The prevalence of 55 long-term effects was estimated, 21 meta-analyses were performed, and 47,910 patients were included (age 17–87 years). The included studies defined long-COVID as ranging from 14 to 110 days post-viral infection. It was estimated that 80% of the infected patients with SARS-CoV-2 developed one or more long-term symptoms. The five most common symptoms were fatigue (58%), headache (44%), attention disorder (27%), hair loss (25%), and dyspnea (24%). Multi-disciplinary teams are crucial to developing preventive measures, rehabilitation techniques, and clinical management strategies with whole-patient perspectives designed to address long COVID-19 care.
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            Global Prevalence of Post COVID-19 Condition or Long COVID: A Meta-Analysis and Systematic Review

            Abstract Introduction This study aims to examine the worldwide prevalence of post COVID-19 condition, through a systematic review and meta-analysis. Methods PubMed, Embase, and iSearch were searched on July 5, 2021 with verification extending to March 13, 2022. Using a random effects framework with DerSimonian-Laird estimator, we meta-analyzed post COVID-19 condition prevalence at 28+ days from infection. Results 50 studies were included, and 41 were meta-analyzed. Global estimated pooled prevalence of post COVID-19 condition was 0.43 (95% CI: 0.39,0.46). Hospitalized and non-hospitalized patients have estimates of 0.54 (95% CI: 0.44,0.63) and 0.34 (95% CI: 0.25,0.46), respectively. Regional prevalence estimates were Asia— 0.51 (95% CI: 0.37,0.65), Europe— 0.44 (95% CI: 0.32,0.56), and North America— 0.31 (95% CI: 0.21,0.43). Global prevalence for 30, 60, 90, and 120 days after infection were estimated to be 0.37 (95% CI: 0.26,0.49), 0.25 (95% CI: 0.15,0.38), 0.32 (95% CI: 0.14,0.57) and 0.49 (95% CI: 0.40,0.59), respectively. Fatigue was the most common symptom reported with a prevalence of 0.23 (95% CI: 0.17,0.30), followed by memory problems (0.14 [95% CI: 0.10,0.19]). Discussion This study finds post COVID-19 condition prevalence is substantial; the health effects of COVID-19 appear to be prolonged and can exert stress on the healthcare system.
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              Mid and long-term neurological and neuropsychiatric manifestations of post-COVID-19 syndrome: A meta-analysis

              Importance Neurological and neuropsychiatric symptoms that persist or develop three months after the onset of COVID-19 pose a significant threat to the global healthcare system. These symptoms are yet to be synthesized and quantified via meta-analysis. Objective To determine the prevalence of neurological and neuropsychiatric symptoms reported 12 weeks (3 months) or more after acute COVID-19 onset in adults. Data sources A systematic search of PubMed, EMBASE, Web of Science, Google Scholar and Scopus was conducted for studies published between January 1st, 2020 and August 1st, 2021. The systematic review was guided by Preferred Reporting Items for Systematic Review and Meta-Analyses. Study selection Studies were included if the length of follow-up satisfied the National Institute for Healthcare Excellence (NICE) definition of post-COVID-19 syndrome (symptoms that develop or persist ≥3 months after the onset of COVID-19). Additional criteria included the reporting of neurological or neuropsychiatric symptoms in individuals with COVID-19. Data extraction and synthesis Two authors independently extracted data on patient characteristics, hospital and/or ICU admission, acute-phase COVID-19 symptoms, length of follow-up, and neurological and neuropsychiatric symptoms. Main outcome(s) and measure(s) The primary outcome was the prevalence of neurological and neuropsychiatric symptoms reported ≥3 months post onset of COVID-19. We also compared post-COVID-19 syndrome in hospitalised vs. non-hospitalised patients, with vs. without ICU admission during the acute phase of infection, and with mid-term (3 to 6 months) and long-term (>6 months) follow-up. Results Of 1458 articles, 19 studies, encompassing a total of 11,324 patients, were analysed. Overall prevalence for neurological post-COVID-19 symptoms were: fatigue (37%, 95% CI: 24%–50%), brain fog (32%, 9%–55%), memory issues (27%, 18%–36%), attention disorder (22%, 10%–34%), myalgia (18%, 4%–32%), anosmia (12%, 7%–17%), dysgeusia (11%, 4%–17%) and headache (10%, 1%–21%). Neuropsychiatric conditions included sleep disturbances (31%, 18%–43%), anxiety (23%, 13%–33%) and depression (12%, 7%–21%). Neuropsychiatric symptoms substantially increased in prevalence between mid- and long-term follow-up. Compared to non-hospitalised patients, patients hospitalised for acute COVID-19 had reduced frequency of anosmia, anxiety, depression, dysgeusia, fatigue, headache, myalgia, and sleep disturbance at three (or more) months post-infection. Conversely, hospital admission was associated with higher frequency of memory issues (OR: 1.9, 95% CI: 1.4–2.3). Cohorts with >20% of patients admitted to the ICU during acute COVID-19 experienced higher prevalence of fatigue, anxiety, depression, and sleep disturbances than cohorts with <20% of ICU admission. Conclusions and relevance Fatigue, cognitive dysfunction (brain fog, memory issues, attention disorder) and sleep disturbances appear to be key features of post-COVID-19 syndrome. Psychiatric manifestations (sleep disturbances, anxiety, and depression) are common and increase significantly in prevalence over time. Randomised controlled trials are necessary to develop intervention strategy to reduce disease burden.
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                Contributors
                battaglini.denise@gmail.com
                Journal
                J Neurol
                J Neurol
                Journal of Neurology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-5354
                1432-1459
                6 December 2023
                6 December 2023
                2024
                : 271
                : 1
                : 79-86
                Affiliations
                [1 ]IRCCS Ospedale Policlinico San Martino, ( https://ror.org/04d7es448) Genova, Italy
                [2 ]Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health & Social Work, Queensland University of Technology, ( https://ror.org/03pnv4752) Brisbane, Australia
                [3 ]Griffith University School of Medicine, Gold Coast, ( https://ror.org/02sc3r913) Brisbane, Australia
                [4 ]Critical Care Research Group, The Prince Charles Hospital, ( https://ror.org/02cetwy62) Brisbane, Australia
                [5 ]GRID grid.4991.5, ISNI 0000 0004 1936 8948, International Severe Acute Respiratory and emerging Infections Consortium (ISARIC), Pandemic Sciences Institute, , University of Oxford, ; Oxford, UK
                [6 ]Department of Surgical sciences and Integrated Diagnostics, University of Genoa, ( https://ror.org/0107c5v14) Genova, Italy
                [7 ]Department of Anesthesia and Perioperative Medicine, University of Cape Town, ( https://ror.org/03p74gp79) Cape Town, South Africa
                [8 ]Division of Critical Care, Groote Schuur Hospital, ( https://ror.org/00c879s84) Cape Town, South Africa
                [9 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Neuroscience Critical Care Division, Departments of Neurology, Surgery, and Anaesthesiology and Critical Care Medicine, , Johns Hopkins University School of Medicine, ; Baltimore, Maryland USA
                Author information
                http://orcid.org/0000-0002-6895-6442
                Article
                12133
                10.1007/s00415-023-12133-y
                10769963
                38055020
                38d72dfd-7bab-4f29-a80a-56bc810059b9
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 September 2023
                : 20 November 2023
                : 22 November 2023
                Funding
                Funded by: ISARIC4C is funded by National Institute for Health Research (NIHR; award CO-CIN-01), the Medical Research Council (MRC; grant MC_PC_19059), and by the NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at University of Liverpo
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                Neurology
                Neurology

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