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European Stroke Journal ; 7(1 SUPPL):553-554, 2022.
Article in English | EMBASE | ID: covidwho-1928146

ABSTRACT

Background: Prior studies indicated a decrease in the incidences of subarachnoid hemorrhage (SAH) during the early stages of the COVID- 19 pandemic. We evaluated differences in the incidence, severity of SAH presentation, and ruptured aneurysm treatment modality during the 1st year of the COVID-19 pandemic compared to the preceding year. Methods: We conducted a cross-sectional study including 49 countries and 187 centers. We recorded volumes for: COVID-19 hospitalizations, SAH hospitalizations, Hunt-Hess Grade, coiling, clipping, and aneurysmal SAH (aSAH) in-hospital mortality. Diagnoses were identified by ICD-10 codes or stroke databases from January 2019 to May 2021. Results: Over the study period, there were 16,247 aSAH admissions, 344,491 COVID-19 admissions, 8,300 coiling and 4,240 aneurysmal clipping procedures. Declines were observed in aSAH admissions (-6.4% [95%CI -7,-5.8];p=0.0001) during the first year of the pandemic compared to the prior year, most pronounced in high-volume SAH and highvolume COVID-19 hospitals. There was a trend towards a decline in mild and moderate presentation of aSAH (mild: -5%[-5.9,-4.3], p=0.06;moderate: -8.3%[-10.2,-6.7], p=0.06) but no difference in higher SAH severity. The clipping rate remained unchanged (30.7% vs. 31.2%, p=0.58), whereas coiling increased (53.97%vs.56.5%, p=0.009). There was no difference in aSAH in-hospital mortality rate (19.1% vs 20.1%,p=0.12). Conclusion: During the first year of the pandemic, there was a decrease in aSAH admissions volume driven by a decrease in mild to moderate presentation of aSAH. There was an increase in the coiling rate, but no change in clipping rate, nor change in aSAH in-hospital mortality.

3.
AJNR Am J Neuroradiol ; 41(10): 1849-1855, 2020 10.
Article in English | MEDLINE | ID: covidwho-724309

ABSTRACT

BACKGROUND AND PURPOSE: Chest CT is a rapid, useful additional screening tool for coronavirus disease 2019 (COVID-19) in emergent procedures. We describe the feasibility and interim outcome of implementing a modified imaging algorithm for COVID-19 risk stratification across a regional network of primary stroke centers in the work-up of acute ischemic stroke referrals for time-critical mechanical thrombectomy. MATERIALS AND METHODS: We undertook a retrospective review of 49 patients referred to the regional neuroscience unit for consideration of mechanical thrombectomy between April 14, 2020, and May 21, 2020. During this time, all referring units followed a standard imaging protocol that included a chest CT in addition to a head CT and CT angiogram to identify Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) infective pulmonary changes. RESULTS: Overall, 2 patients had typical COVID-19 radiologic features and tested positive, while 7 patients had indeterminate imaging findings and tested negative. The others had normal or atypical changes and were not diagnosed with or suspected of having COVID-19. There was an overall sensitivity of 100%, specificity of 74.1%, negative predictive value of 100%, and positive predictive value of 22.2% when using chest CT to diagnose COVID-19 in comparison with the real-time reverse transcriptase-polymerase chain reaction test. The mean additional time and radiation dose incurred for the chest CT were 184 ± 65.5 seconds and 2.47 ± 1.03 mSv. Multiple cardiovascular and pulmonary incidental findings of clinical relevance were identified in our patient population. CONCLUSIONS: Chest CT provides a pragmatic, rapid additional tool for COVID-19 risk stratification among patients referred for mechanical thrombectomy. Its inclusion in a standardized regional stroke imaging protocol has enabled efficient use of hospital resources with minimal compromise or delay to the overall patient treatment schedule.


Subject(s)
Betacoronavirus , Brain Ischemia/diagnostic imaging , Coronavirus Infections/complications , Pneumonia, Viral/complications , Stroke/diagnostic imaging , Aged , Aged, 80 and over , Brain Ischemia/etiology , Brain Ischemia/surgery , COVID-19 , Female , Humans , Male , Middle Aged , Pandemics , Retrospective Studies , SARS-CoV-2 , Stroke/etiology , Stroke/surgery , Thrombectomy , Tomography, X-Ray Computed
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