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1.
CNS Neurol Disord Drug Targets ; 20(5): 390-391, 2021.
Article in English | MEDLINE | ID: covidwho-1526729

ABSTRACT

A letter to the editor to discuss several uses of brain magnetic resonance imaging (MRI) in the investigation of neurological manifestations of covid-19. Described several situations in which the MRI is needed. Brain MRI is an important diagnostic method in the covid-19 scenario, to investigate possible neurological complications of the disease.


Subject(s)
COVID-19/complications , COVID-19/diagnostic imaging , Magnetic Resonance Imaging/methods , Nervous System Diseases/diagnostic imaging , Nervous System Diseases/etiology , Cerebrovascular Disorders/diagnostic imaging , Cerebrovascular Disorders/etiology , Headache/diagnostic imaging , Headache/etiology , Humans
2.
CNS Neurol Disord Drug Targets ; 20(5): 390-391, 2021.
Article in English | MEDLINE | ID: covidwho-1042027

ABSTRACT

A letter to the editor to discuss several uses of brain magnetic resonance imaging (MRI) in the investigation of neurological manifestations of covid-19. Described several situations in which the MRI is needed. Brain MRI is an important diagnostic method in the covid-19 scenario, to investigate possible neurological complications of the disease.


Subject(s)
COVID-19/complications , COVID-19/diagnostic imaging , Magnetic Resonance Imaging/methods , Nervous System Diseases/diagnostic imaging , Nervous System Diseases/etiology , Cerebrovascular Disorders/diagnostic imaging , Cerebrovascular Disorders/etiology , Headache/diagnostic imaging , Headache/etiology , Humans
3.
J Stroke Cerebrovasc Dis ; 29(12): 105321, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-872317

ABSTRACT

BACKGROUND: The emergence of the COVID-19 pandemic has significantly impacted global healthcare systems and this may affect stroke care and outcomes. This study examines the changes in stroke epidemiology and care during the COVID-19 pandemic in Zanjan Province, Iran. METHODS: This study is part of the CASCADE international initiative. From February 18, 2019, to July 18, 2020, we followed ischemic and hemorrhagic stroke hospitalization rates and outcomes in Valiasr Hospital, Zanjan, Iran. We used a Bayesian hierarchical model and an interrupted time series analysis (ITS) to identify changes in stroke hospitalization rate, baseline stroke severity [measured by the National Institutes of Health Stroke Scale (NIHSS)], disability [measured by the modified Rankin Scale (mRS)], presentation time (last seen normal to hospital presentation), thrombolytic therapy rate, median door-to-needle time, length of hospital stay, and in-hospital mortality. We compared in-hospital mortality between study periods using Cox-regression model. RESULTS: During the study period, 1,026 stroke patients were hospitalized. Stroke hospitalization rates per 100,000 population decreased from 68.09 before the pandemic to 44.50 during the pandemic, with a significant decline in both Bayesian [Beta: -1.034; Standard Error (SE): 0.22, 95% CrI: -1.48, -0.59] and ITS analysis (estimate: -1.03, SE = 0.24, p < 0.0001). Furthermore, we observed lower admission rates for patients with mild (NIHSS < 5) ischemic stroke (p < 0.0001). Although, the presentation time and door-to-needle time did not change during the pandemic, a lower proportion of patients received thrombolysis (-10.1%; p = 0.004). We did not see significant changes in admission rate to the stroke unit and in-hospital mortality rate; however, disability at discharge increased (p < 0.0001). CONCLUSION: In Zanjan, Iran, the COVID-19 pandemic has significantly impacted stroke outcomes and altered the delivery of stroke care. Observed lower admission rates for milder stroke may possibly be due to fear of exposure related to COVID-19. The decrease in patients treated with thrombolysis and the increased disability at discharge may indicate changes in the delivery of stroke care and increased pressure on existing stroke acute and subacute services. The results of this research will contribute to a similar analysis of the larger CASCADE dataset in order to confirm findings at a global scale and improve measures to ensure the best quality of care for stroke patients during the COVID-19 pandemic.


Subject(s)
Brain Ischemia/therapy , COVID-19 , Hospitalization/trends , Intracranial Hemorrhages/therapy , Outcome and Process Assessment, Health Care/trends , Stroke/therapy , Thrombolytic Therapy/trends , Time-to-Treatment/trends , Aged , Aged, 80 and over , Bayes Theorem , Brain Ischemia/diagnosis , Brain Ischemia/mortality , COVID-19/epidemiology , Female , Hospital Mortality/trends , Humans , Interrupted Time Series Analysis , Intracranial Hemorrhages/diagnosis , Intracranial Hemorrhages/mortality , Iran/epidemiology , Length of Stay/trends , Male , Middle Aged , Recovery of Function , Stroke/diagnosis , Stroke/mortality , Time Factors , Treatment Outcome
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