tetano
Editor, Senior Moderator
Curr J Neurol
. 2023 Jul 6;22(3):170-178.
doi: 10.18502/cjn.v22i3.13797. Watershed infarction in COVID-19: The necessity of neuroimaging in patients with subtle neurological symptoms
Mohammad Amin Najafi[SUP] 1 2 [/SUP], Alireza Zandifar[SUP] 3 [/SUP], Mohsen Kheradmand[SUP] 1 2 [/SUP], Luis Octavio Tierradentro-Garcia[SUP] 3 [/SUP], Fariborz Khorvash[SUP] 1 2 [/SUP], Arastoo Vossough[SUP] 3 [/SUP], Mohammad Saadatnia[SUP] 1 2 [/SUP]
Affiliations
Background: Cerebrovascular diseases comprise a significant portion of neurological disorders related to coronavirus disease 2019 (COVID-19). We evaluated the clinical and imaging characteristics of a cohort of COVID-19 patients with stroke and also identified patients with watershed infarcts. Methods: In this cross-sectional study, seventy-three COVID-19 patients with ischemic stroke were included between October 2020 and January 2021. Patients were evaluated based on the following clinical and imaging features: severity of COVID-19 (critical/ non-critical), stroke type, presence/absence of clinical suspicion of stroke, medical risk factors, Fazekas scale, atherothrombosis, small vessel disease, cardiac pathology, other causes, and dissection (ASCOD) criteria classification, and presence or absence of watershed infarction. Clinical outcomes were assessed based on Modified Rankin Scale (MRS) and mortality. Results: Most cases of ischemic stroke were due to undetermined etiology (52.1%) and cardioembolism (32.9%). In terms of imaging pattern, 17 (23.0%) patients had watershed infarction. Watershed infarction was associated with the clinically non-suspicious category [odds ratio (OR) = 4.67, P = 0.007] and death after discharge (OR = 7.1, P = 0.003). Patients with watershed infarction had a higher odds of having high Fazekas score (OR = 5.17, P = 0.007) which was also shown by the logistic regression model (adjusted OR = 6.87, P = 0.030). Thirty-one (42%) patients were clinically non-suspected for ischemic stroke. Critical COVID-19 was more common among patients with watershed infarct and clinically non-suspicious patients (P = 0.020 and P = 0.005, respectively). Patients with chronic kidney disease (CKD) were more prone to having stroke with watershed pattern (P = 0.020). Conclusion: Watershed infarct is one of the most common patterns of ischemic stroke in patients with COVID-19, for which clinicians should maintain a high index of suspicion in patients with critical COVID-19 without obvious clinical symptoms of stroke.
Keywords: Brain; COVID-19; Cerebrovascular Disorders; Clinical Characteristics; Magnetic Resonance Imaging; Stroke; White Matter.
. 2023 Jul 6;22(3):170-178.
doi: 10.18502/cjn.v22i3.13797. Watershed infarction in COVID-19: The necessity of neuroimaging in patients with subtle neurological symptoms
Mohammad Amin Najafi[SUP] 1 2 [/SUP], Alireza Zandifar[SUP] 3 [/SUP], Mohsen Kheradmand[SUP] 1 2 [/SUP], Luis Octavio Tierradentro-Garcia[SUP] 3 [/SUP], Fariborz Khorvash[SUP] 1 2 [/SUP], Arastoo Vossough[SUP] 3 [/SUP], Mohammad Saadatnia[SUP] 1 2 [/SUP]
Affiliations
- PMID: 38011454
- PMCID: PMC10626137
- DOI: 10.18502/cjn.v22i3.13797
Background: Cerebrovascular diseases comprise a significant portion of neurological disorders related to coronavirus disease 2019 (COVID-19). We evaluated the clinical and imaging characteristics of a cohort of COVID-19 patients with stroke and also identified patients with watershed infarcts. Methods: In this cross-sectional study, seventy-three COVID-19 patients with ischemic stroke were included between October 2020 and January 2021. Patients were evaluated based on the following clinical and imaging features: severity of COVID-19 (critical/ non-critical), stroke type, presence/absence of clinical suspicion of stroke, medical risk factors, Fazekas scale, atherothrombosis, small vessel disease, cardiac pathology, other causes, and dissection (ASCOD) criteria classification, and presence or absence of watershed infarction. Clinical outcomes were assessed based on Modified Rankin Scale (MRS) and mortality. Results: Most cases of ischemic stroke were due to undetermined etiology (52.1%) and cardioembolism (32.9%). In terms of imaging pattern, 17 (23.0%) patients had watershed infarction. Watershed infarction was associated with the clinically non-suspicious category [odds ratio (OR) = 4.67, P = 0.007] and death after discharge (OR = 7.1, P = 0.003). Patients with watershed infarction had a higher odds of having high Fazekas score (OR = 5.17, P = 0.007) which was also shown by the logistic regression model (adjusted OR = 6.87, P = 0.030). Thirty-one (42%) patients were clinically non-suspected for ischemic stroke. Critical COVID-19 was more common among patients with watershed infarct and clinically non-suspicious patients (P = 0.020 and P = 0.005, respectively). Patients with chronic kidney disease (CKD) were more prone to having stroke with watershed pattern (P = 0.020). Conclusion: Watershed infarct is one of the most common patterns of ischemic stroke in patients with COVID-19, for which clinicians should maintain a high index of suspicion in patients with critical COVID-19 without obvious clinical symptoms of stroke.
Keywords: Brain; COVID-19; Cerebrovascular Disorders; Clinical Characteristics; Magnetic Resonance Imaging; Stroke; White Matter.