Prognostic indicators and outcomes of hospitalised COVID-19 patients with neurological disease: An individual patient data meta-analysis
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2022Metadata
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Bhagteshwar, Singh
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Prognostic indicators and outcomes of hospitalised COVID-19 patients with neurological disease: An individual patient data meta-analysis
Author
- Bhagteshwar, Singh;
- Lant, Suzannah;
- Cividini, Sofía;
- Cattrall, Jonathan W. S;
- Goodwin, Lynsey C.;
- Benjamin, Laura;
- Michael, Benedict D.;
- Khawaja, Ayaz;
- Brasil Matos, Aline de Moura;
- Alkeridy, Walid;
- Pilotto, Andrea;
- Lahiri, Durjoy;
- Rawlinson, Rebecca;
- Mhlanga, Sithembinkosi;
- Lopez, Evelyn C.;
- Sargent, Brendan F.;
- Somasundaran, Anushri;
- Tamborska, Arina;
- Webb, Glynn;
- Younas, Komal;
- Al Sami, Yaqub;
- Babu, Heavenna;
- Bank, Tristan;
- Cavallieri, Francesco;
- Cohen, Matthew;
- Davies, Emma;
- Dhar, Shalley;
- Modol Fajardo, Anna;
- Farooq, Hamzah;
- Harte, Jeffrey;
- Samuel, Hey;
- Joseph, Albert;
- Karthikappallil, Dileep;
- Kassahun, Daniel;
- Lipunga, Gareth;
- Mason, Rachel;
- Minton, Thomas;
- Mond, Gabrielle;
- Poxon, Joseph;
- Rabas, Sophie;
- Soothill, Germander;
- Zedde, Marialuisa;
- Yenkoyan, Konstantin;
- Brew, Bruce;
- Contini, Erika;
- Cysique, Lucette;
- Xin, Zhang;
- Maggi, Pietro;
- Van Pesch, Vincent;
- Lechien, Jérome;
- Saussez, Sven;
- Heyse, Alex;
- Brito Ferreira, María Luisa;
- Soare, Cristiane N.;
- Isabel, Elicer;
- Ñancupil Reyes, Waleng;
- Yin, Rong;
- Azab, Mohammed A.;
- Abbd - Allah, Foad;
- Elkady, Ahmed;
- Escalard, Simon;
- Corvol, Jean-Christophe;
- Delorme, Cécile;
- Tattevin, Pierre;
- Bigaut, Kévin;
- Lorenz, Norbet;
- Hornuss, Daniel;
- Hosp, Jonás;
- Rieg, Siegbert;
- Wagner, Dirk;
- Knier, Benjamín;
- Lingor, Paul;
- Winkler, Andrea Sylvia;
- Sharifi Razavi, Athena;
- Moein, Shima T.;
- SeyedAlinaghi, SeyedAhmad;
- Morassi, Mauro;
- Padovani, Alessandro;
- Giunta, Marcello;
- Libri, Ilenia;
- Beretta, Simone;
- Ravaglia, Sabrina;
- Foschi, Matteo;
- Calabresi, Paolo;
- Servidei, Serenella;
- Mercur, Nicola Biagio;
- Liguori, Claudio;
- Pierantozzi, Mariangela;
- Sarmati, Loredana;
- Boso, Federica;
- Garazzino, Silvia;
- Mariotto, Sara;
- Patrick, Kimani N.;
- Costache, Oana;
- Pincherle, Alexander;
- Klok, Frederikus A.;
- Meza, Roger;
- Cabreira, Verónica;
- Valdoleiros, Sofía R.;
- Oliveira, Vanessa;
- Kaimovsky, Igor;
- Guekht, Alla;
- Koh, Jasmine;
- Fernández Díaz, Eva;
- Barrios López, José María;
- Beltrán Corbellini, Álvaro;
- Martínez Poles, Javier;
- Diezma Martín, Alba María;
- Morales Casado, María Isabel;
- García García, Sergio;
- Breville, Gautier;
- Coen, Matteo;
- Uginet, Marjolaine;
- Bernard Valnet, Rafael;
- Du Pasquier, Renaud;
- Kaya, Yildiz;
- Abdelnour, Loay H.;
- Rice, Claire;
- Morrison, Hamish;
- Defres, Sylviane;
- Huda, Saif;
- Enright, Noelle;
- Hassell, Jane;
- D’Anna, Lucio;
- Benger, Matthew;
- Sztriha, Laszlo;
- Raith, Eamon;
- Chinthapalli, Krishna;
- Nortley, Ross;
- Paterson, Ross;
- Chandratheva, Arvind;
- Werring, David J.;
- Dervisevic, Samir;
- Harkness, Kirsty;
- Pinto, Ashwin;
- Jillella, Dinesh;
- Beach, Scott;
- Gunasekaran, Kulothungan;
- Ferreira Da Silva, Iván Rocha;
- Nalleballe, Krishna;
- Santoro, Jonathan;
- Scullen, Tyler;
- Kahn, Lora;
- Kim, Carla Y.;
- Thakur, Kiran T.;
- Jain, Rajan;
- Umapathi, Thirugnanam;
- Nicholson, Timothy R.;
- Sejvar, James J.;
- Hodel, Eva María;
- Smith, Catrin Tudur;
- Tom, Salomón;
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.
Patrocinador
The study was funded by the UK Medical
Research Council’s Global Effort on COVID-19
Programme (MR/V033441/1) (https://mrc.ukri.org/
); UK National Institute for Health Research
(NIHR)- funded Global Health Research Group on
Acute Brain Infections (17/63/110) (https://www.
nihr.ac.uk/); and the NIHR Health Protection
Indexation
Artículo de publícación WoS
Quote Item
PLOS ONE, Volume 17 Issue 6 e0263595 2022
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States
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