Publication date: 2023

DOI: 10.1007/s11055-023-01445-1

Objectives. To study predictors of adverse outcomes in ischemic stroke associated with COVID-19. Materials and methods. A retrospective analysis of 173 cases of ischemic stroke and COVID-19 was carried out. Mean age was 68.64 ± 11.39 years (95% CI 66.93–70.35; M = 92, m = 34). In terms of gender, there was a predominance of women (64.16%). Lethal outcomes occurred in 62 (35.84%) patients. Risk factors for lethal outcome were studied by binary logistic regression. Results. Univariate analysis showed that the risk of fatal stroke was associated with the patient being in a generally severe condition and a number of other factors, which included the severity of COVID-19, acute coronary syndrome, multiple organ failure, the need for a ventilator, a history of kidney disease, pneumonia, a high NIHSS score, oxygen partial pressure, respiratory rate, the number of hospitalizations, the full blood count (erythrocytes, hemoglobin, hematocrit, leukocytes, neutrophils), the coagulogram, glucose levels, liver and kidney markers (bilirubin, aspartate aminotransferase, alanine aminotransferase, creatinine, urea), and creatine phosphokinase, lactate dehydrogenase, and C-reactive protein levels. Use of a model based on multivariate analysis allowed the probability of lethal outcome to be predicted. A regression function was obtained, which included the C-reactive protein and urea concentrations and NIHSS score. Patients with values of ≥35% were at elevated risk of death, while those with values of <35% were likely to have favorable outcomes. The model was statistically significant (p < 0.001). The sensitivity and specificity of the model were 88.9 and 97.9%, respectively. Conclusions. The predictors of the likelihood of fatal outcomes of stroke identified here can serve as guidelines for physicians in selecting patient management strategies at different stages of care. © 2023, Springer Nature Switzerland AG.

Издатель: Springer

Тип: Article