Multivariate profile and acute-phase correlates of cognitive deficits in a COVID-19 hospitalised cohort.
Chatfield, Doris A
MPhil, Anne Manktelow
Hellyer, Peter J
Giovane, Martina Del
Outtrim, Joanne G
Sawcer, Stephen J
Bullmore, Edward T
Cambridge NeuroCOVID Group, the NIHR COVID-19 BioResource, and Cambridge NIHR Clinical Research Facility
MetadataShow full item record
Hampshire, A., Chatfield, D. A., MPhil, A. M., Jolly, A., Trender, W., Hellyer, P. J., Giovane, M. D., et al. (2022). Multivariate profile and acute-phase correlates of cognitive deficits in a COVID-19 hospitalised cohort.. EClinicalMedicine, 47 https://doi.org/10.1016/j.eclinm.2022.101417
Background: Preliminary evidence has highlighted a possible association between severe COVID-19 and persistent cognitive deficits. Further research is required to confirm this association, determine whether cognitive deficits relate to clinical features from the acute phase or to mental health status at the point of assessment, and quantify rate of recovery. Methods: 46 individuals who received critical care for COVID-19 at Addenbrooke's hospital between 10th March 2020 and 31st July 2020 (16 mechanically ventilated) underwent detailed computerised cognitive assessment alongside scales measuring anxiety, depression and post-traumatic stress disorder under supervised conditions at a mean follow up of 6.0 (± 2.1) months following acute illness. Patient and matched control (N = 460) performances were transformed into standard deviation from expected scores, accounting for age and demographic factors using N = 66,008 normative datasets. Global accuracy and response time composites were calculated (G_SScore & G_RT). Linear modelling predicted composite score deficits from acute severity, mental-health status at assessment, and time from hospital admission. The pattern of deficits across tasks was qualitatively compared with normal age-related decline, and early-stage dementia. Findings: COVID-19 survivors were less accurate (G_SScore=-0.53SDs) and slower (G_RT=+0.89SDs) in their responses than expected compared to their matched controls. Acute illness, but not chronic mental health, significantly predicted cognitive deviation from expected scores (G_SScore (p=0.0037) and G_RT (p = 0.0366)). The most prominent task associations with COVID-19 were for higher cognition and processing speed, which was qualitatively distinct from the profiles of normal ageing and dementia and similar in magnitude to the effects of ageing between 50 and 70 years of age. A trend towards reduced deficits with time from illness (r∼=0.15) did not reach statistical significance. Interpretation: Cognitive deficits after severe COVID-19 relate most strongly to acute illness severity, persist long into the chronic phase, and recover slowly if at all, with a characteristic profile highlighting higher cognitive functions and processing speed. Funding: This work was funded by the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (BRC), NIHR Cambridge Clinical Research Facility (BRC-1215-20014), the Addenbrooke's Charities Trust and NIHR COVID-19 BioResource RG9402. AH is funded by the UK Dementia Research Institute Care Research and Technology Centre and Imperial College London Biomedical Research Centre. ETB and DKM are supported by NIHR Senior Investigator awards. JBR is supported by the Wellcome Trust (220258) and Medical Research Council (SUAG/051 G101400). VFJN is funded by an Academy of Medical Sciences/ The Health Foundation Clinician Scientist Fellowship. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.
Memory, Cognition, Attention, Planning, Cognitive Assessment, Reasoning, Covid-19
This work was funded by the NIHR Cambridge Biomedical Research Centre and by the Addenbrooke’s Charities Trust. AH is funded by the UK Dementia Research Institute Care Research and Technology Centre and Imperial College London Biomedical Research Centre. ETB and DKM are supported by NIHR Senior Investigator awards. VFJN is funded by an Academy of Medical Sciences/ The Health Foundation Clinician Scientist Fellowship.
National Institute for Health Research (NIHRDH-IS-BRC-1215-20014)
Cambridge University Hospitals NHS Foundation Trust (CUH) (146281)
Medical Research Council (MC_UU_00005/12)
Wellcome Trust (220258/Z/20/Z)
External DOI: https://doi.org/10.1016/j.eclinm.2022.101417
This record's URL: https://www.repository.cam.ac.uk/handle/1810/337812
Attribution-NonCommercial-NoDerivatives 4.0 International
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/