COVID-19: ICU delirium management during SARS-CoV-2 pandemic

Strategies to Optimize ICU Liberation (A to F) Bundle Performance in Critically Ill Adults With Coronavirus Disease 2019

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Objectives:

The severe acute respiratory syndrome coronavirus 2 pandemic has stretched ICU resources in an unprecedented fashion and outstripped personal protective equipment supplies. The combination of a novel disease, resource limitations, and risks to medical personnel health have created new barriers to implementing the ICU Liberation (“A” for Assessment, Prevention, and Manage pain; “B” for Both Spontaneous Awakening Trials and Spontaneous Breathing Trials; “C” for Choice of Analgesia and Sedation; “D” for Delirium Assess, Prevent, and Manage; “E” for Early Mobility and Exercise; and “F” for Family Engagement and Empowerment [ABCDEF]) Bundle, a proven ICU care approach that reduces delirium, shortens mechanical ventilation duration, prevents post-ICU syndrome, and reduces healthcare costs. This narrative review acknowledges barriers and offers strategies to optimize Bundle performance in coronavirus disease 2019 patients requiring mechanical ventilation.

Data Sources, Study Selection, and Data Extraction:

The most relevant literature, media reports, and author experiences were assessed for inclusion in this narrative review including PubMed, national newspapers, and critical care/pharmacology textbooks.

Data Synthesis:

Uncertainty regarding coronavirus disease 2019 clinical course, shifts in attitude, and changes in routine behavior have hindered Bundle use. A domino effect results from: 1) changes to critical care hierarchy, priorities, and ICU team composition; 2) significant personal protective equipment shortages cause; 3) reduced/restricted physical bedside presence favoring; 4) increased depth of sedation and use of neuromuscular blockade; 5) which exacerbate drug shortages; and 6) which require prolonged use of limited ventilator resources. Other identified barriers include manageable knowledge deficits among non-ICU clinicians unfamiliar with the Bundle or among PICU specialists deploying pediatric-based Bundle approaches who are unfamiliar with adult medicine. Both groups have been enlisted to augment the adult ICU work force to meet demand. Strategies were identified to facilitate Bundle performance to liberate patients from the ICU.

Conclusions:

We acknowledge current challenges that interfere with comprehensive management of critically ill patients during the coronavirus disease 2019 pandemic. Rapid response to new circumstances precisely requires established safety mechanisms and protocols like the ABCDEF Bundle to increase ICU and ventilator capacity and help survivors maximize recovery from coronavirus disease 2019 as early as possible.

Neurological features of COVID-19 and their treatment: a review

Severe acute respiratory syndrome-correlated new coronavirus (SARS-Cov-2) infection may result in neurological signs and symptoms through different mechanisms. Although direct infection of the central nervous system is uncertain or very rare and the para-infectious complications (e.g. inflammatory neuropathies) are rare, delirium and septic encephalopathy are common in severely ill patients. Smell dysfunction and headache are very common in mild cases, especially in younger people and females. Muscle pain is common in both mild and severe cases, and in the most compromised patients, it is accompanied by increased creatine kinase levels and by a likely true myopathic damage. Ischemic stroke has been reported as a possible complication of the hypercoagulability associated with severe SARS-Cov-2 infection, but further studies are needed. Most of the neurological manifestations may occur early in the illness. Therefore, during the pandemic period, neurologists need to be involved, alert, and prepared. Neurological practice will not be the same until a vaccine is available.

Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients

OBJECTIVES

Approximately 20-30% of patients with COVID-19 require hospitalization, and 5-12% may require critical care in an intensive care unit (ICU). A rapid surge in cases of severe COVID-19 will lead to a corresponding surge in demand for ICU care. Because of constraints on resources, frontline healthcare workers may be unable to provide the frequent monitoring and assessment required for all patients at high risk of clinical deterioration. We developed a machine learning-based risk prioritization tool that predicts ICU transfer within 24 h, seeking to facilitate efficient use of care providers' efforts and help hospitals plan their flow of operations.

METHODS

A retrospective cohort was comprised of non-ICU COVID-19 admissions at a large acute care health system between 26 February and 18 April 2020. Time series data, including vital signs, nursing assessments, laboratory data, and electrocardiograms, were used as input variables for training a random forest (RF) model. The cohort was randomly split (70:30) into training and test sets. The RF model was trained using 10-fold cross-validation on the training set, and its predictive performance on the test set was then evaluated.

RESULTS

The cohort consisted of 1987 unique patients diagnosed with COVID-19 and admitted to non-ICU units of the hospital. The median time to ICU transfer was 2.45 days from the time of admission. Compared to actual admissions, the tool had 72.8% (95% CI: 63.2-81.1%) sensitivity, 76.3% (95% CI: 74.7-77.9%) specificity, 76.2% (95% CI: 74.6-77.7%) accuracy, and 79.9% (95% CI: 75.2-84.6%) area under the receiver operating characteristics curve.

CONCLUSIONS

A ML-based prediction model can be used as a screening tool to identify patients at risk of imminent ICU transfer within 24 h. This tool could improve the management of hospital resources and patient-throughput planning, thus delivering more effective care to patients hospitalized with COVID-19.

Developing a guidance resource for managing delirium in patients with COVID-19

As the COVID-19 pandemic escalates worldwide, it is apparent that many patients with more severe illness will also experience delirium. These patients pose a particular challenge in the application of optimal care due to issues with infectious risk, respiratory compromise and potential interactions between medications that can be used to manage delirium with antiviral and other treatments used for COVID-19. We describe a guidance resource adapted from existing guidelines for delirium management that has been tailored to the specific challenge of managing delirium in patients with COVID-19 infection. Issues around the assessment and treatment of these patients are examined and distilled into a simple (one-paged guidance resource that can assist clinicians in managing suspected delirium.

Psychopharmacology of COVID-19

Background

With the rapid, global spread of severe acute respiratory syndrome coronavirus 2, hospitals have become inundated with patients suffering from coronavirus disease 2019. Consultation-liaison psychiatrists are actively involved in managing these patients and should familiarize themselves with how the virus and its proposed treatments can affect psychotropic management. The only Food and Drug Administration-approved drug to treat COVID-19 is remdesivir, and other off-label medications used include chloroquine and hydroxychloroquine, tocilizumab, lopinavir/ritonavir, favipiravir, convalescent plasma therapy, azithromycin, vitamin C, corticosteroids, interferon, and colchicine.

Objective

To provide an overview of the major safety considerations relevant to clinicians who prescribe psychotropics to patients with COVID-19, both related to the illness and its proposed treatments.

Methods

In this targeted review, we performed structured literature searches in PubMed to identify articles describing the impacts of COVID-19 on different organ systems, the neuropsychiatric adverse effects of treatments, and any potential drug interactions with psychotropics. The articles most relevant to this one were included.

Results

COVID-19 impacts multiple organ systems, including gastrointestinal, renal, cardiovascular, pulmonary, immunological, and hematological systems. This may lead to pharmacokinetic changes that impact psychotropic medications and increase sensitivity to psychotropic-related adverse effects. In addition, several proposed treatments for COVID-19 have neuropsychiatric effects and potential interactions with commonly used psychotropics.

Conclusions

Clinicians should be aware of the need to adjust existing psychotropics or avoid using certain medications in some patients with COVID-19. They should also be familiar with neuropsychiatric effects of medications being used to treat this disease. Further research is needed to identify strategies to manage psychiatric issues in this population.

Psychopharmacology of COVID-19

Background

With the rapid, global spread of severe acute respiratory syndrome coronavirus 2, hospitals have become inundated with patients suffering from coronavirus disease 2019. Consultation-liaison psychiatrists are actively involved in managing these patients and should familiarize themselves with how the virus and its proposed treatments can affect psychotropic management. The only Food and Drug Administration–approved drug to treat COVID-19 is remdesivir, and other off-label medications used include chloroquine and hydroxychloroquine, tocilizumab, lopinavir/ritonavir, favipiravir, convalescent plasma therapy, azithromycin, vitamin C, corticosteroids, interferon, and colchicine.

Objective

To provide an overview of the major safety considerations relevant to clinicians who prescribe psychotropics to patients with COVID-19, both related to the illness and its proposed treatments.

Methods

In this targeted review, we performed structured literature searches in PubMed to identify articles describing the impacts of COVID-19 on different organ systems, the neuropsychiatric adverse effects of treatments, and any potential drug interactions with psychotropics. The articles most relevant to this one were included.

Results

COVID-19 impacts multiple organ systems, including gastrointestinal, renal, cardiovascular, pulmonary, immunological, and hematological systems. This may lead to pharmacokinetic changes that impact psychotropic medications and increase sensitivity to psychotropic-related adverse effects. In addition, several proposed treatments for COVID-19 have neuropsychiatric effects and potential interactions with commonly used psychotropics.

Conclusions

Clinicians should be aware of the need to adjust existing psychotropics or avoid using certain medications in some patients with COVID-19. They should also be familiar with neuropsychiatric effects of medications being used to treat this disease. Further research is needed to identify strategies to manage psychiatric issues in this population.

COVID-19: What do we need to know about ICU delirium during the SARS-CoV-2 pandemic?

In March 2020, the World Health Organisation announced the COVID-19 pandemic caused by the SARS-CoV-2 virus. As well as respiratory failure, the SARS-CoV-2 may cause central nervous system (CNS) involvement, including delirium occurring in critically ill patients (ICU delirium). Due attention must be paid to this subject in the face of the COVID-19 pandemic. Delirium, the detection of which takes less than two minutes, is frequently underestimated during daily routine ICU care, but it may be a prodromal symptom of infection or hypoxia associated with severe respiratory failure. During the COVID-19 pandemic, systematic delirium monitoring using validated tests (CAM-ICU or ICDSC) may be sacrificed. This is likely to be due to the fact that the main emphasis is placed on organisational issues, i.e. the lack of ventilators, setting priorities for limited mechanical ventilation options, and a shortage of personal protective equipment. Early identification of patients with delirium is critical in patients with COVID-19 because the occurrence of delirium may be an early symptom of worsening respiratory failure or of infectious spread to the CNS mediated by potential neuroinvasive mechanisms of the coronavirus. The purpose of this review is to identify problems related to the development of delirium during the COVID-19 epidemic, which are presented in three areas: i) factors contributing to delirium in COVID-19, ii) potential pathophysiological factors of delirium in COVID-19, and iii) long-term consequences of delirium in COVID-19. This article discusses how healthcare workers can reduce the burden of delirium by identifying potential risk factors and difficulties during challenges associated with SARS-CoV-2 infection.

Impaired mental health status following intensive care unit admission in a patient with COVID-19

Background

Severe respiratory failure patients with coronavirus disease (COVID-19) sometimes do not receive post-intensive care syndrome prevention bundles. No detailed report has been published on the practical observations of mental impairments in these patients.

Case presentation

A 33-year-old man was admitted with COVID-19 pneumonia. On day 6, he was admitted to the intensive care unit (ICU). Considering the risk of nosocomial infection, as per the hospital policy, early rehabilitation could not be initiated for COVID-19 patients at that time and family visits were not allowed. Thereafter, his respiratory condition gradually improved; he was discharged on day 19. When the ICU nurse called to assess his medical condition, the patient complained of insomnia after ICU discharge. Therefore, we called him for an outpatient visit 28 days after discharge and scored his mental health status.

Conclusion

Careful follow-up is required to treat mental impairment in patients with COVID-19.

Delirium: Clinical Presentation and Outcomes in Older COVID-19 Patients

The aim of the study is to describe the clinical characteristics and outcomes of a series of older patients consecutively admitted into a non-ICU ward due to SARS-CoV-2 infection (14, males 11), developing delirium. Hypokinetic delirium with lethargy and confusion was observed in 43% of cases (6/14 patients). A total of eight patients exhibited hyperkinetic delirium and 50% of these patients (4/8) died. The overall mortality rate was 71% (10/14 patients). Among the four survivors we observed two different clinical patterns: two patients exhibited dementia and no ARDS (acute respiratory distress syndrome), while the remaining two patients exhibited ARDS and no dementia. The observed different clinical patterns of delirium (hypokinetic delirium; hyperkinetic delirium with or without dementia; hyperkinetic delirium with or without ARDS) identified patients with different prognosis: we believe these observations may have an impact on the management of older subjects with delirium due to COVID-19.

Neurobiology of COVID-19

Anosmia, stroke, paralysis, cranial nerve deficits, encephalopathy, delirium, meningitis, and seizures are some of the neurological complications in patients with coronavirus disease-19 (COVID-19) which is caused by acute respiratory syndrome coronavirus 2 (SARS-Cov2). There remains a challenge to determine the extent to which neurological abnormalities in COVID-19 are caused by SARS-Cov2 itself, the exaggerated cytokine response it triggers, and/or the resulting hypercoagulapathy and formation of blood clots in blood vessels throughout the body and the brain. In this article, we review the reports that address neurological manifestations in patients with COVID-19 who may present with acute neurological symptoms (e.g., stroke), even without typical respiratory symptoms such as fever, cough, or shortness of breath. Next, we discuss the different neurobiological processes and mechanisms that may underlie the link between SARS-Cov2 and COVID-19 in the brain, cranial nerves, peripheral nerves, and muscles. Finally, we propose a basic "NeuroCovid" classification scheme that integrates these concepts and highlights some of the short-term challenges for the practice of neurology today and the long-term sequalae of COVID-19 such as depression, OCD, insomnia, cognitive decline, accelerated aging, Parkinson's disease, or Alzheimer's disease in the future. In doing so, we intend to provide a basis from which to build on future hypotheses and investigations regarding SARS-Cov2 and the nervous system.