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Meta-Analysis
. 2022 Jun 2;17(6):e0263595.
doi: 10.1371/journal.pone.0263595. eCollection 2022.

Prognostic indicators and outcomes of hospitalised COVID-19 patients with neurological disease: An individual patient data meta-analysis

Bhagteshwar Singh  1   2   3 Suzannah Lant  1 Sofia Cividini  4 Jonathan W S Cattrall  1 Lynsey C Goodwin  1   2 Laura Benjamin  5 Benedict D Michael  1   6 Ayaz Khawaja  7 Aline de Moura Brasil Matos  8 Walid Alkeridy  9 Andrea Pilotto  10 Durjoy Lahiri  11 Rebecca Rawlinson  1 Sithembinkosi Mhlanga  1 Evelyn C Lopez  1 Brendan F Sargent  1 Anushri Somasundaran  1 Arina Tamborska  1 Glynn Webb  1 Komal Younas  1 Yaqub Al Sami  12 Heavenna Babu  13 Tristan Banks  14 Francesco Cavallieri  15 Matthew Cohen  16 Emma Davies  17 Shalley Dhar  13 Anna Fajardo Modol  1 Hamzah Farooq  17 Jeffrey Harte  18 Samuel Hey  19 Albert Joseph  12 Dileep Karthikappallil  16 Daniel Kassahun  20 Gareth Lipunga  21 Rachel Mason  22 Thomas Minton  23 Gabrielle Mond  24 Joseph Poxon  25 Sophie Rabas  26 Germander Soothill  27 Marialuisa Zedde  15 Konstantin Yenkoyan  28 Bruce Brew  29 Erika Contini  29 Lucette Cysique  29 Xin Zhang  29 Pietro Maggi  30 Vincent van Pesch  30 Jérome Lechien  31 Sven Saussez  31 Alex Heyse  32 Maria Lúcia Brito Ferreira  33 Cristiane N Soares  34 Isabel Elicer  35 Laura Eugenín-von Bernhardi  35 Waleng Ñancupil Reyes  36 Rong Yin  37 Mohammed A Azab  38 Foad Abd-Allah  39 Ahmed Elkady  40 Simon Escalard  41 Jean-Christophe Corvol  42 Cécile Delorme  42 Pierre Tattevin  43 Kévin Bigaut  44 Norbert Lorenz  45 Daniel Hornuss  46 Jonas Hosp  46 Siegbert Rieg  46 Dirk Wagner  46 Benjamin Knier  47 Paul Lingor  47 Andrea Sylvia Winkler  47 Athena Sharifi-Razavi  48 Shima T Moein  49 SeyedAhmad SeyedAlinaghi  50 Saeidreza JamaliMoghadamSiahkali  50 Mauro Morassi  51 Alessandro Padovani  52 Marcello Giunta  52 Ilenia Libri  52 Simone Beretta  53 Sabrina Ravaglia  54 Matteo Foschi  55 Paolo Calabresi  56 Guido Primiano  56 Serenella Servidei  56 Nicola Biagio Mercuri  57 Claudio Liguori  57 Mariangela Pierantozzi  57 Loredana Sarmati  57 Federica Boso  58 Silvia Garazzino  59 Sara Mariotto  60 Kimani N Patrick  61 Oana Costache  62 Alexander Pincherle  62 Frederikus A Klok  63 Roger Meza  64 Verónica Cabreira  65 Sofia R Valdoleiros  66 Vanessa Oliveira  66 Igor Kaimovsky  67 Alla Guekht  68 Jasmine Koh  69 Eva Fernández Díaz  70 José María Barrios-López  71 Cristina Guijarro-Castro  72 Álvaro Beltrán-Corbellini  73 Javier Martínez-Poles  73 Alba María Diezma-Martín  74 Maria Isabel Morales-Casado  74 Sergio García García  75 Gautier Breville  76 Matteo Coen  76 Marjolaine Uginet  76 Raphaël Bernard-Valnet  77 Renaud Du Pasquier  77 Yildiz Kaya  78 Loay H Abdelnour  79 Claire Rice  80 Hamish Morrison  81 Sylviane Defres  2 Saif Huda  6 Noelle Enright  82 Jane Hassell  82 Lucio D'Anna  83 Matthew Benger  26 Laszlo Sztriha  26 Eamon Raith  84 Krishna Chinthapalli  85 Ross Nortley  85 Ross Paterson  85 Arvind Chandratheva  86 David J Werring  86 Samir Dervisevic  87 Kirsty Harkness  88 Ashwin Pinto  89 Dinesh Jillella  90 Scott Beach  91 Kulothungan Gunasekaran  92 Ivan Rocha Ferreira Da Silva  93 Krishna Nalleballe  94 Jonathan Santoro  95 Tyler Scullen  96 Lora Kahn  96 Carla Y Kim  97 Kiran T Thakur  97 Rajan Jain  98 Thirugnanam Umapathi  99 Timothy R Nicholson  100 James J Sejvar  101 Eva Maria Hodel  1 Brain Infections Global COVID-Neuro Network Study GroupCatrin Tudur Smith  4 Tom Solomon  1   2   6
Affiliations
Meta-Analysis

Prognostic indicators and outcomes of hospitalised COVID-19 patients with neurological disease: An individual patient data meta-analysis

Bhagteshwar Singh et al. PLoS One. .

Abstract

Background: Neurological COVID-19 disease has been reported widely, but published studies often lack information on neurological outcomes and prognostic risk factors. We aimed to describe the spectrum of neurological disease in hospitalised COVID-19 patients; characterise clinical outcomes; and investigate factors associated with a poor outcome.

Methods: We conducted an individual patient data (IPD) meta-analysis of hospitalised patients with neurological COVID-19 disease, using standard case definitions. We invited authors of studies from the first pandemic wave, plus clinicians in the Global COVID-Neuro Network with unpublished data, to contribute. We analysed features associated with poor outcome (moderate to severe disability or death, 3 to 6 on the modified Rankin Scale) using multivariable models.

Results: We included 83 studies (31 unpublished) providing IPD for 1979 patients with COVID-19 and acute new-onset neurological disease. Encephalopathy (978 [49%] patients) and cerebrovascular events (506 [26%]) were the most common diagnoses. Respiratory and systemic symptoms preceded neurological features in 93% of patients; one third developed neurological disease after hospital admission. A poor outcome was more common in patients with cerebrovascular events (76% [95% CI 67-82]), than encephalopathy (54% [42-65]). Intensive care use was high (38% [35-41]) overall, and also greater in the cerebrovascular patients. In the cerebrovascular, but not encephalopathic patients, risk factors for poor outcome included breathlessness on admission and elevated D-dimer. Overall, 30-day mortality was 30% [27-32]. The hazard of death was comparatively lower for patients in the WHO European region.

Interpretation: Neurological COVID-19 disease poses a considerable burden in terms of disease outcomes and use of hospital resources from prolonged intensive care and inpatient admission; preliminary data suggest these may differ according to WHO regions and country income levels. The different risk factors for encephalopathy and stroke suggest different disease mechanisms which may be amenable to intervention, especially in those who develop neurological symptoms after hospital admission.

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Conflict of interest statement

TS is part of the Data Safety Monitoring Committee of a study to evaluate the safety and immunogenicity of a candidate Ebola Vaccine in children - the GSK3390107A (ChAd3 EBO-Z) vaccine; he is a panel member of Covid-19 Vaccine Benefit Risk Expert Working Group for the Medicines and Healthcare Regulatory Agency (UK); he is a member of COVID-19 Therapeutics Advisory Panel for the UK Department of Health & Social Care; he is the Chair/Co-Chair of the COVID-19 Rapid Response and Rolling Funding Initiatives, which supported the development of the Oxford-AstraZeneca Covid-19 vaccine. In addition, Dr. Solomon has a diagnostic test for bacterial meningitis, based on a blood test, filed for patent pending.

Figures

Fig 1
Fig 1. PRISMA flow diagram.
IPD = individual patient data.
Fig 2
Fig 2. Characteristics of patients in the individual patient data (IPD) database.
Fig 3
Fig 3. Locations of 1979 patients from 83 studies providing individual patient data (IPD).
WHO regions are depicted in different colours. Countries from which we received IPD are depicted in a darker shade. Country names and numbers of patients for which we had IPD are displayed in boxes, grouped according to region.
Fig 4
Fig 4. Time-to-event analyses for secondary outcomes for patients with COVID-19 and neurological disease in the IPD database1.
1. These figures show results of analyses for the whole IPD database (i.e., patients with any neurological disease diagnosis), and other than for A, the analyses use death as a competing risk. 2. A total of 1745 patients were included in this analysis. Of the 1979, 115 had no dates; 14 patients had no hospital admission date; 9 dead patients had no date of death; 88 alive patients had no discharge date; it was unknown if 8 patients were dead or alive. For time to death, individuals that were alive at discharge or last follow-up were censored. 3. This analysis uses date of hospital admission as day 0. A total of 1428 patients were included in this analysis: 404 patients had no dates; 17 had no hospital admission date; 123 (23 dead; 100 alive) patients had neither the date of admission to critical care or the date of commencement of invasive ventilation; 7 patients only had a hospital admission date, but it was unknown if they were dead or alive. For time to critical care admission, individuals who were alive at discharge or last follow-up and had not been admitted to intensive care were censored. Individuals who died without receiving critical care or invasive ventilation were treated as competing events in a competing risks analysis. 4. This analysis uses date of critical care admission as day 0. A total of 486 patients who were admitted critical care were included in this analysis: 1482 patients had no date of admission to critical care; 5 dead patients had no death date; 5 alive patients had no hospital discharge date; there were no dates for 1 patient. 5. For discharge from critical care, individuals that were alive and not yet discharged at last follow-up were censored. Individuals that died after admission to intensive care were treated as competing events in a competing risks analysis. 10. For length of hospital stay, individuals that were alive and not yet discharged at last follow-up were censored. Individuals that died were treated as competing events in a competing risks analysis.
Fig 5
Fig 5. Pooled proportions of all patients hospitalised with COVID-19 reported to have acute new-onset neurological disease.
Neurological disease = number of patients with neurological COVID-19 disease. All COVID-19 = number of patients with all COVID-19 disease hospitalised in the same centre over the same time period.

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