Pathophysiology of COVID-19-Associated Neurotoxicity

Cascella, Marco; Blasio, E De

doi:10.1007/978-3-030-86705-8_1

Cited by 131 publications

(176 citation statements)

References 129 publications

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“…It has been noted that a low value of lymphocytes is an important indicator for the severity of a patient where lymphocytes are responsible for preserving immune homeostasis and the response of inflammatory cells; this may expose the patient to death [1,14,25,61]. The opposite is true for neutrophils, where a high value of this test reflects the severity of the illness; this is consistent with the findings of the machine-learning models in [1,34].…”

Section: E a R L Y B I R Dsupporting

confidence: 78%

Applying Hunger Game Search (Hgs) for Selecting Significant Blood Indicators for Early Prediction of Icu Covid-19 Severity

Sayed

El-Korany

Sayed

2023

csci

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Millions of people around the world have been affected and some have died during the global pandemic Corona (COVID-19). This pandemic has created a global threat to people's lives and medical systems. The constraints of hospital resources and the pressures on healthcare workers during this period are among the reasons for wrong decisions and medical deterioration. Anticipating severe patients is an urgent matter of resource consumption by prioritizing patients at high risk to save their lives. This paper introduces an early prognostic model to predict the severity of patients and detect the most significant features based on clinical blood data. The proposed model predicts ICU severity within the first 2 hours of hospital admission, seeks to assist clinicians in decision-making and facilitates efficient use of hospital resources. The Hunger Game Search (HGS) meta-heuristic algorithm and the SVM are hybridized for building the proposed prediction model. Furthermore, they have been used for selecting the most informative features from the blood test data. Experiments have shown that using HGS for selecting the features with the SVM classifier achieved excellent results compared with the other four meta-heuristic algorithms. The model using the features selected by the HGS algorithm accomplished the topmost results, 98.6% and 96.5% for the best and mean accuracy, respectively, compared with using all features and features selected by other popular optimization algorithms.

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Section: E a R L Y B I R Dsupporting

confidence: 78%

Applying Hunger Game Search (Hgs) for Selecting Significant Blood Indicators for Early Prediction of Icu Covid-19 Severity

Sayed

El-Korany

Sayed

2023

csci

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“…The human to human transfer is confirmed based on world wide data but the intermediate host is still unknown [1]. The first case report in Huanan Seafood Wholesale market of Wuhan suggested that initially SARS-CoV-2 showed animal-to-human transmission but subsequent cases confirmed about human-to-human transmission [2].…”

Section: Introductionmentioning

confidence: 93%

“…Virions are released afterwards [15]. Accumulative evidences suggest that the incubation time could be generally within 3e7 days and extend up to 2 weeks [2]. The characteristic clinical symptoms for the COVID-19 affected patients are high fever, dry cough, dyspnoea, lethal pneumonia whereas some patients show some additional neurological signs such as headache, disturbed consciousness and also acute cerebrovascular disease-related symptoms and neuromuscular symptoms [3,16].…”

Section: Initial Attachment Entry and Clinical Features Of Sars-cov2mentioning

confidence: 99%

Neuroinvasive potential of a primary respiratory pathogen SARS- CoV2: Summarizing the evidences

Lahiri

Mondal

Deb

et al. 2020

Diabetes & Metabolic Syndrome: Clinical Research & Revi

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“…Critical illness that culminates during the course of COVID-19 infection (acute respiratory distress syndrome, pneumonia, septic shock, multiorgan failure, opportunistic secondary infections, etc.) bears a striking semblance to the conditions that similarly admit non-COVID-19 patients to the ICU ( 14 ). Knowing these historical outcomes in critically ill patients, it is important to consider that even when this current pandemic does end, long-term patient sequelae will continue to be seen and need to be treated for years to come.…”

Section: Critical Illness and Known Long-term Outcomes From Previous ...mentioning

confidence: 99%

COVID-19 and Long-Term Outcomes: Lessons from Other Critical Care Illnesses and Potential Mechanisms

Arbov

Tayara

Wu³

et al. 2022

Am J Respir Cell Mol Biol

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus that is currently causing a pandemic and has been termed coronavirus disease (COVID-19). The elderly or those with preexisting conditions like diabetes, hypertension, coronary heart disease, chronic obstructive pulmonary disease, cerebrovascular disease, or kidney dysfunction are more likely to develop severe cases when infected. Patients with COVID-19 admitted to the ICU have higher mortality than non-ICU patients. Critical illness has consistently posed a challenge not only in terms of mortality but also in regard to long-term outcomes of survivors. Patients who survive acute critical illness including, but not limited to, pulmonary and systemic insults associated with acute respiratory distress syndrome, pneumonia, systemic inflammation, and mechanical ventilation, will likely suffer from post-ICU syndrome, a phenomenon of cognitive, psychiatric, and/or physical disability after treatment in the ICU. Post-ICU morbidity and mortality continue to be a cause for concern when considering large-scale studies showing 12-month mortality risks of 11.8–21%. Previous studies have demonstrated that multiple mechanisms, including cytokine release, mitochondrial dysfunction, and even amyloids, may lead to end-organ dysfunction in patients. We hypothesize that COVID-19 infection will lead to post-ICU syndrome via potentially similar mechanisms as other chronic critical illnesses and cause long-term morbidity and mortality in patients. We consider a variety of mechanisms and questions that not only consider the short-term impact of the COVID-19 pandemic but its long-term effects that may not yet be imagined.

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Pathophysiology of COVID-19-Associated Neurotoxicity

Cited by 131 publications

References 129 publications

Applying Hunger Game Search (Hgs) for Selecting Significant Blood Indicators for Early Prediction of Icu Covid-19 Severity

Applying Hunger Game Search (Hgs) for Selecting Significant Blood Indicators for Early Prediction of Icu Covid-19 Severity

Neuroinvasive potential of a primary respiratory pathogen SARS- CoV2: Summarizing the evidences

COVID-19 and Long-Term Outcomes: Lessons from Other Critical Care Illnesses and Potential Mechanisms

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