Clinical Characteristics and Outcomes of Critically Ill Neurological Patients with COVID-19 Infection in Neuro-intensive Care Unit: A Retrospective Study.

COVID-19 Mortality Neurocritical care Neurological functional outcome Predictors of outcome

Journal

Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine
ISSN: 0972-5229
Titre abrégé: Indian J Crit Care Med
Pays: India
ID NLM: 101208863

Informations de publication

Date de publication:
Oct 2021
Historique:
entrez: 17 12 2021
pubmed: 18 12 2021
medline: 18 12 2021
Statut: ppublish

Résumé

There are insufficient data about clinical outcomes in critically ill neurological patients with concomitant coronavirus disease (COVID-19). This study describes the clinical characteristics, predictors of mortality, and clinical outcomes in COVID-19-positive neurological patients managed in a dedicated COVID-19 neurointensive care unit (CNICU). This single-center, retrospective cohort study was conducted in critically ill neurological and neurosurgical patients with concomitant COVID-19 infection admitted to the CNICU at the National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, from July to November 2020. Patients' demographic, clinical, laboratory, imaging, treatment, and outcome data were retrieved from the manual and electronic medical records. Predictors of mortality and neurological outcome were identified using logistic regression. During the study period, 50 COVID-19-positive neurological patients were admitted to the CNICU. Six patients were excluded from the analysis as they were managed in the CNICU for <24 hours. A poor outcome, defined as death or motor Glasgow Coma Scale <5 at hospital discharge, was observed in 34 of 44 patients (77.27%) with inhospital mortality in 26 of 44 patients (59%). Worst modified sequential organ failure assessment (MSOFA) score, lactate dehydrogenase maximum levels (LDH Mortality is high in neurological patients with concomitant COVID-19 infection. Elevated inflammatory markers of COVID-19 suggest the role of systemic inflammation on clinical outcomes. Predictors of mortality and poor outcome were higher MSOFA score and elevated LDH levels. Additionally, lymphopenia was associated with mortality. Surve RM, Mishra RK, Malla SR, Kamath S, Chakrabarti DR, Kulanthaivelu K, et al. Clinical Characteristics and Outcomes of Critically Ill Neurological Patients with COVID-19 Infection in Neuro-intensive Care Unit: A Retrospective Study. Indian J Crit Care Med 2021;25(10):1126-1132.

Sections du résumé

BACKGROUND BACKGROUND
There are insufficient data about clinical outcomes in critically ill neurological patients with concomitant coronavirus disease (COVID-19). This study describes the clinical characteristics, predictors of mortality, and clinical outcomes in COVID-19-positive neurological patients managed in a dedicated COVID-19 neurointensive care unit (CNICU).
METHODS METHODS
This single-center, retrospective cohort study was conducted in critically ill neurological and neurosurgical patients with concomitant COVID-19 infection admitted to the CNICU at the National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, from July to November 2020. Patients' demographic, clinical, laboratory, imaging, treatment, and outcome data were retrieved from the manual and electronic medical records. Predictors of mortality and neurological outcome were identified using logistic regression.
RESULTS RESULTS
During the study period, 50 COVID-19-positive neurological patients were admitted to the CNICU. Six patients were excluded from the analysis as they were managed in the CNICU for <24 hours. A poor outcome, defined as death or motor Glasgow Coma Scale <5 at hospital discharge, was observed in 34 of 44 patients (77.27%) with inhospital mortality in 26 of 44 patients (59%). Worst modified sequential organ failure assessment (MSOFA) score, lactate dehydrogenase maximum levels (LDH
CONCLUSIONS CONCLUSIONS
Mortality is high in neurological patients with concomitant COVID-19 infection. Elevated inflammatory markers of COVID-19 suggest the role of systemic inflammation on clinical outcomes. Predictors of mortality and poor outcome were higher MSOFA score and elevated LDH levels. Additionally, lymphopenia was associated with mortality.
HOW TO CITE THIS ARTICLE UNASSIGNED
Surve RM, Mishra RK, Malla SR, Kamath S, Chakrabarti DR, Kulanthaivelu K, et al. Clinical Characteristics and Outcomes of Critically Ill Neurological Patients with COVID-19 Infection in Neuro-intensive Care Unit: A Retrospective Study. Indian J Crit Care Med 2021;25(10):1126-1132.

Identifiants

pubmed: 34916744
doi: 10.5005/jp-journals-10071-23989
pmc: PMC8645809
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1126-1132

Informations de copyright

Copyright © 2021; Jaypee Brothers Medical Publishers (P) Ltd.

Déclaration de conflit d'intérêts

Source of support: Nil Conflict of interest: None

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Auteurs

Rohini M Surve (RM)

Department of Neuroanesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Rajeeb K Mishra (RK)

Department of Neuroanesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Soumya R Malla (SR)

Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Sriganesh Kamath (S)

Department of Neuroanesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Dhritiman R Chakrabarti (DR)

Department of Neuroanesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Karthik Kulanthaivelu (K)

Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Mahendranath Musunuru (M)

Department of Neuroanesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Classifications MeSH