Literature DB >> 33461861

How to monitor the brain in COVID-19 patients?

Lorenzo Peluso1, Andrea Minini2, Fabio Silvio Taccone2.   

Abstract

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Year:  2021        PMID: 33461861      PMCID: PMC7834356          DOI: 10.1016/j.iccn.2020.103011

Source DB:  PubMed          Journal:  Intensive Crit Care Nurs        ISSN: 0964-3397            Impact factor:   3.072


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Background

Since the onset of the COVID-19 pandemic, it has become evident that, although the respiratory disease is the principal manifestation of this viral infection, COVID-19 presents features of a multisystem syndrome (Remmelink et al., 2020); in this setting, neurologic complications have arisen as an increasingly recognized cause of morbidity and mortality (Mao et al., 2020). These complications include acute cerebrovascular disease (i.e. either ischemic or haemorrhagic strokes), encephalopathy, seizures and/or delirium (Ellul et al., 2020). Besides the complex pathophysiology behind the “neurotropism” of SARS-CoV-2, tissue hypoxia due to respiratory and/or cardiovascular failure, neuroinflammation as a response to systemic organ damage and inflammatory response or a disseminated prothrombotic status with micro-thrombosis are also involved (Remmelink et al., 2020, Pezzini and Padovani, 2020). Therefore, monitor cerebral function in COVID-19 patients appears to be necessary.

Initial assessment

Nurses can grossly assess the neurological status at the bedside using different scales (i.e. Glasgow Coma Scale, GCS; Confusion Assessment Method-Intensive Care Unit, CAM-ICU); moreover, searching for focal motor or sensitive deficit as well as for brainstem impairment (i.e. abnormal pupils or eye movements, absence of cough, irregular breathing) should be routinely performed, although it remains a challenging issue due to the high prevalence of sedated and paralyzed patients. In patients presenting these abnormalities or in those with prolonged altered consciousness despite withdrawal of sedative agents, neuro-imaging should be discussed at the medical round. If cerebral computed tomography (CT) scan detects acute cerebrovascular events (i.e. acute ischemic stroke, intracranial haemorrhage), the use of contrast medium injection for a CT-Angiography (i.e. to detect acute vascular occlusion or cerebral venous thrombosis) or for a CT-Perfusion (i.e. to assess salvageable brain areas in case of acute ischemic stroke) can also be considered; potential contra-indications for these imaging techniques (i.e. contrast allergy or renal failure) should be carefully considered. Magnetic resonance imaging (MRI) is more sensitive to detect brain abnormalities compatible with encephalitis, necrotizing encephalopathy, microbleeds or hypoxic injury in COVID-19 patients (Kremer et al., 2020); however, the patients should not be agitated (i.e. to obtain good quality images) and should tolerate supine position (i.e. it would be difficult to perform MRI in a patient dependent from prone positioning). Finally, contraindications (i.e. metallic materials or ECMO) should be previously excluded. As imaging techniques are not bedside monitoring and require transport of at-risk patients, different non-invasive monitoring techniques can help to refine patients’ evaluation and decide for the optimal timing of CT/MRI.

How nurses can adequately use neuromonitoring at the bedside?

Altered cerebral perfusion can occur during critical illness, also in COVID-19 patients (Sonkaya et al., 2020). The use of cerebral ultrasound could provide an estimation of intracranial pressure (eICP) and cerebral perfusion pressure (eCPP), using a 2-MHz probe to assess mean middle cerebral artery flow velocities (mFV), the corresponding value of mean arterial pressure (MAP) and the following formula: eCPP = MAP × diastolic FV/mFV + 14. In a recent study, high eICP was observed in COVID-19 patients developing neurological complications when compared to others (Battaglini et al., 2020). Although cerebral ultrasound is generally performed by doctors, the training is suitable for anyone, including nurses and technologists, requires few sessions to measure mFV and no prior experience is needed. Together with cerebral ultrasound, non-invasive assessment of brain oxygenation using near-infrared spectroscopy (NIRS) may provide measurement of the prefrontal cortex oxygen saturation (rSO2). In new generation devices, rSO2 < 60% would suggest tissue hypoperfusion; however, contamination from extra-cerebral blood oxygenation is possible and no studies on cerebral oximetry in COVID-19 patients have been reported so far. Continuous electroencephalography (cEEG) is a non-invasive tool that measures cortical electrical activity, which is generally evaluated by a neurophysiologist. As COVID-19 patients may develop seizures (Antony and Haneef, 2020), the use of quantitative EEG (qEEG), which displays a time-compressed simplified visual display of raw EEG data, could be used by trained nurses to accurately detect recurrent seizure, with a sensitivity and specificity > 85% when compared to experienced neurophysiologists (Kang et al., 2019). Moreover, qEEG can provide information on the frequency and amplitude of EEG background; alterations in some of the EEG-derived parameters (i.e. low spectral edge frequency – SEF; low bispectral index = BIS; low Patient State Index – PSI; high burst-suppression rate - BSR) may therefore avoid over-sedation at the bedside or, in the cases of persistent altered values after interruption of sedation, suggest the presence of diffuse hypoxic injury, COVID-19 related encephalitis or a metabolic encephalopathy in these patients (Sangare et al., 2020, Skorin et al., 2020). Automated pupillometry is a bedside technique able to precisely quantify the pupillary size and pupillary light reflex (PLR). Change in pupillary activity showed a good accuracy to predict delirium in ventilated critically ill patients and to detect unreactive EEG background (Favre et al., 2020, Hasan et al., 2019). As such, automated pupillometry could be also used to titrate the administration of anaesthetics or analgesics, as excessive drug regimens would provide reduced PLR or size, respectively, or identify patients at risk of delirium (i.e. PLR < 25%). Finally, high levels of serum biomarkers for brain injury, such as neuron specific enolase (NSE) and protein S-100β, have reported in COVID-19 patients (DeKosky et al., 2020); their daily measurement could be discussed then at the medical round by the nursing team in patients with suspected brain injury if not prescribed by the attending doctors.

Conclusions

Due to the complexity of neurological complications in COVID-19 patients, the role of nurses in routine and repeated clinical examination is mandatory. Neuro-imaging techniques can provide relevant diagnostic information and should be discussed on a daily basis. As clinical examination can have a limited role in critically ill COVID-19 ventilated patients, a multimodal neuromonitoring approach would be recommended (Fig. 1 ). Trained nurses can interpret most of the findings from different monitoring tools and should integrate these observations to the ongoing therapies and the discussion at the medical round in order to assess their clinical relevance. Future studies should address the therapeutic and prognostic role of this monitoring strategy in COVID-19 patients, to support its potential routine use in this setting.
Fig. 1

A multimodal approach for neuromonitoring in COVID-19 patients. NIRS = near-infrared spectroscopy; EEG = electroencephalography.

A multimodal approach for neuromonitoring in COVID-19 patients. NIRS = near-infrared spectroscopy; EEG = electroencephalography.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
  14 in total

1.  Correlation Between Electroencephalography and Automated Pupillometry in Critically Ill Patients: A Pilot Study.

Authors:  Sania Hasan; Lorenzo Peluso; Lorenzo Ferlini; Benjamin Legros; Lorenzo Calabrò; Mauro Oddo; Jacques Creteur; Jean-Louis Vincent; Nicolas Gaspard; Fabio S Taccone
Journal:  J Neurosurg Anesthesiol       Date:  2021-04-01       Impact factor: 3.956

2.  EEG findings and clinical prognostic factors associated with mortality in a prospective cohort of inpatients with COVID-19.

Authors:  Ilona Skorin; Rogelio Carrillo; Carmen P Perez; Natalie Sanchez; Jorge Parra; Patricia Troncoso; Reinaldo Uribe-San-Martin
Journal:  Seizure       Date:  2020-10-13       Impact factor: 3.184

3.  Neurological Complications and Noninvasive Multimodal Neuromonitoring in Critically Ill Mechanically Ventilated COVID-19 Patients.

Authors:  Denise Battaglini; Gregorio Santori; Karthikka Chandraptham; Francesca Iannuzzi; Matilde Bastianello; Fabio Tarantino; Lorenzo Ball; Daniele Roberto Giacobbe; Antonio Vena; Matteo Bassetti; Matilde Inglese; Antonio Uccelli; Patricia Rieken Macedo Rocco; Nicolò Patroniti; Iole Brunetti; Paolo Pelosi; Chiara Robba
Journal:  Front Neurol       Date:  2020-11-27       Impact factor: 4.003

4.  Cerebral hemodynamic alterations in patients with Covid-19

Authors:  Ali Rıza Sonkaya; Bilgin Öztrk; Ömer Karadaş
Journal:  Turk J Med Sci       Date:  2021-04-30       Impact factor: 0.973

Review 5.  Neurological associations of COVID-19.

Authors:  Mark A Ellul; Laura Benjamin; Bhagteshwar Singh; Suzannah Lant; Benedict Daniel Michael; Ava Easton; Rachel Kneen; Sylviane Defres; Jim Sejvar; Tom Solomon
Journal:  Lancet Neurol       Date:  2020-07-02       Impact factor: 44.182

Review 6.  Lifting the mask on neurological manifestations of COVID-19.

Authors:  Alessandro Pezzini; Alessandro Padovani
Journal:  Nat Rev Neurol       Date:  2020-08-24       Impact factor: 42.937

7.  Neuromonitoring of delirium with quantitative pupillometry in sedated mechanically ventilated critically ill patients.

Authors:  Eva Favre; Adriano Bernini; Paola Morelli; Jerôme Pasquier; John-Paul Miroz; Samia Abed-Maillard; Nawfel Ben-Hamouda; Mauro Oddo
Journal:  Crit Care       Date:  2020-02-24       Impact factor: 9.097

Review 8.  Systematic review of EEG findings in 617 patients diagnosed with COVID-19.

Authors:  Arun Raj Antony; Zulfi Haneef
Journal:  Seizure       Date:  2020-10-19       Impact factor: 3.184

Review 9.  Blood Biomarkers for Detection of Brain Injury in COVID-19 Patients.

Authors:  Steven T DeKosky; Patrick M Kochanek; Alex B Valadka; Robert S B Clark; Sherry H-Y Chou; Alicia K Au; Christopher Horvat; Ruchira M Jha; Rebekah Mannix; Stephen R Wisniewski; Max Wintermark; Susan E Rowell; Robert D Welch; Lawrence Lewis; Stacey House; Rudolph E Tanzi; Darci R Smith; Amy Y Vittor; Nancy D Denslow; Michael D Davis; Olena Y Glushakova; Ronald L Hayes
Journal:  J Neurotrauma       Date:  2020-11-11       Impact factor: 5.269

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1.  Non-Invasive Multimodal Neuromonitoring in Non-Critically Ill Hospitalized Adult Patients With COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Denise Battaglini; Lavienraj Premraj; Samuel Huth; Jonathon Fanning; Glenn Whitman; Rakesh C Arora; Judith Bellapart; Diego Bastos Porto; Fabio Silvio Taccone; Jacky Y Suen; Gianluigi Li Bassi; John F Fraser; Rafael Badenes; Sung-Min Cho; Chiara Robba
Journal:  Front Neurol       Date:  2022-04-14       Impact factor: 4.086

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