Analysis of neuropsychological and laboratory parameters in patients with cerebrovascular disease and SARS-CoV-2 compared to those without SARS-CoV-2
Notice bibliographique
Résumé
Background. Severe acute respiratory syndrome сoronavіrus 2 (SARS-CoV-2, formerly known as 2019-nCoV) is the cause of coronavirus disease 2019 (COVID-19), and was first reported in Wuhan, China. However, it is also contagious to humans and spreads rapidly around the world through close contact between infected people or through a relatively simple transmission mechanism (airborne transmission). COVID-19 is known to affect almost all systems of the human body. Initial reports suggest that hypertension may be a risk factor for susceptibility to SARS-CoV-2 infection, a more severe course of COVID-19, and increased mortality associated with COVID-19. It is estimated that 1–3 % of COVID-19 patients experience transient ischemic attacks with a frequency similar to other coronavirus infections (SARS-CoV-1 and MERS-CoV). The cause of ischemic stroke associated with COVID-19 is unknown, but previous studies have suggested that an inflammatory cytokine storm may cause hypercoagulation and endothelial damage. We see that COVID-19 is closely related to neurological complications because there are potential factors that can cause them. Materials and methods. Cerebrovascular diseases were analyzed in 111 patients infected with SARS-CoV-2 (n = 71) and those without a history of SARS-CoV-2 (n = 40). The subject of the study was neuropsychological and laboratory indicators. The following methods were used: psychometric — Beck Anxiety Inventory, Hamilton Depression Rating Scale, Fatigue Assessment Scale; neuropsychological — Mini-Mental State Examination, Montreal Cognitive Assessment, Frontal Assessment Battery; clinical — neurological status; polymerase chain reaction to detect COVID-19 RNA; statistical methods. Results. In patients who suffered transient ischemic attack and ischemic stroke with a minimal neurological deficit and COVID-19, there were elevations in the erythrocyte sedimentation rate, leukocytes, segmented neutrophils, while an increase in C-reactive protein was noted in all participants with cerebrovascular disease and COVID-19, with more significant levels among those with ischemic stroke. All subgroups with COVID-19 showed an increase in D-dimer and fibrinogen with higher content in patients after ischemic stroke. Also in this subgroup, the procalcitonin index exceeded the norm, which indicates the severity of the course of COVID-19 with the addition of co-infection. Data of neuropsychological tests in patients with ischemic stroke with a minimal neurological deficit with SARS-CoV-2 revealed a decrease in the Montreal Cognitive Assessment score, indicating mild cognitive changes in these patients. The level of anxiety in patients with hypertension with frequent crises and ischemic stroke with a minimal neurological deficit was above the reference values, with a slight predominance in patients who did not have COVID-19. It follows that both laboratory and neuropsychological parameters differed in three subgroups depending on cerebrovascular disease, as well as the presence and absence of SARS-CoV-2, which makes it possible to develop more appropriate diagnostic methods in order to predict the course and outcome of COVID-19.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».