Utility of Apical Lung Assessment on Computed Tomography Angiography as a COVID-19 Screen in Acute Stroke.


Journal

Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266

Informations de publication

Date de publication:
12 2020
Historique:
pubmed: 30 10 2020
medline: 15 12 2020
entrez: 29 10 2020
Statut: ppublish

Résumé

Evaluation of the lung apices using computed tomography angiography of the head and neck during acute ischemic stroke (AIS) can provide the first objective opportunity to screen for coronavirus disease 2019 (COVID-19). We performed an analysis assessing the utility of apical lung exam on computed tomography angiography for COVID-19-specific lung findings in 57 patients presenting with AIS. We measured the diagnostic accuracy of apical lung assessment alone and in combination with patient-reported symptoms and incorporate both to propose a COVID-19 era AIS algorithm. Apical lung assessment when used in isolation, yielded a sensitivity of 0.67, specificity of 0.93, positive predictive value of 0.19, negative predictive value of 0.99, and accuracy of 0.92 for the diagnosis of COVID-19, in patients presenting to the hospital for AIS. When combined with self-reported clinical symptoms of cough or shortness of breath, sensitivity of apical lung assessment improved to 0.83. Apical lung assessment on computed tomography angiography is an accurate screening tool for COVID-19 and can serve as part of a combined screening approach in AIS.

Sections du résumé

BACKGROUND AND PURPOSE
Evaluation of the lung apices using computed tomography angiography of the head and neck during acute ischemic stroke (AIS) can provide the first objective opportunity to screen for coronavirus disease 2019 (COVID-19).
METHODS
We performed an analysis assessing the utility of apical lung exam on computed tomography angiography for COVID-19-specific lung findings in 57 patients presenting with AIS. We measured the diagnostic accuracy of apical lung assessment alone and in combination with patient-reported symptoms and incorporate both to propose a COVID-19 era AIS algorithm.
RESULTS
Apical lung assessment when used in isolation, yielded a sensitivity of 0.67, specificity of 0.93, positive predictive value of 0.19, negative predictive value of 0.99, and accuracy of 0.92 for the diagnosis of COVID-19, in patients presenting to the hospital for AIS. When combined with self-reported clinical symptoms of cough or shortness of breath, sensitivity of apical lung assessment improved to 0.83.
CONCLUSIONS
Apical lung assessment on computed tomography angiography is an accurate screening tool for COVID-19 and can serve as part of a combined screening approach in AIS.

Identifiants

pubmed: 33115325
doi: 10.1161/STROKEAHA.120.030959
pmc: PMC7678646
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3765-3769

Références

Stroke. 2020 Jun;51(6):1896-1901
pubmed: 32347790
Radiology. 2020 Sep;296(3):E173-E179
pubmed: 32391741
BMJ. 2020 May 12;369:m1808
pubmed: 32398230
Radiology. 2020 Jun;295(3):200463
pubmed: 32077789
Radiology. 2020 Aug;296(2):E97-E104
pubmed: 32339082
AJNR Am J Neuroradiol. 2020 Jul;41(7):1136-1141
pubmed: 32439650
Radiology. 2020 Sep;296(3):E145-E155
pubmed: 32301646
J Neurointerv Surg. 2020 Jul;12(7):669-672
pubmed: 32430481
JAMA. 2020 May 12;323(18):1843-1844
pubmed: 32159775
Stroke. 2020 Jul;51(7):2263-2267
pubmed: 32401680

Auteurs

Charles Esenwa (C)

Department of Neurology (C.E., J.-A.L., T.N., D.L.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

Ji-Ae Lee (JA)

Department of Neurology (C.E., J.-A.L., T.N., D.L.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

Taha Nisar (T)

Department of Neurology (C.E., J.-A.L., T.N., D.L.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

Anna Shmukler (A)

Department of Radiology (A.S., I.G., R.Z., K.H., L.B.H.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

Inessa Goldman (I)

Department of Radiology (A.S., I.G., R.Z., K.H., L.B.H.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

Richard Zampolin (R)

Department of Radiology (A.S., I.G., R.Z., K.H., L.B.H.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

Kevin Hsu (K)

Department of Radiology (A.S., I.G., R.Z., K.H., L.B.H.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

Daniel Labovitz (D)

Department of Neurology (C.E., J.-A.L., T.N., D.L.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

David Altschul (D)

Department of Neurosurgery (D.A.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

Linda B Haramati (LB)

Department of Radiology (A.S., I.G., R.Z., K.H., L.B.H.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.
Department of Medicine (L.B.H.), Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY.

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