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Diagnostic Accuracy in Teleneurological Stroke Consultations
The accuracy of diagnosing acute cerebrovascular disease via a teleneurology service and the characteristics of misdiagnosed patients are insufficiently known. A random sample ( = 1500) of all teleneurological consultations conducted between July 2015 and December 2017 was screened. Teleneurological...
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Published in: | Journal of clinical medicine 2021-03, Vol.10 (6), p.1170 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The accuracy of diagnosing acute cerebrovascular disease via a teleneurology service and the characteristics of misdiagnosed patients are insufficiently known.
A random sample (
= 1500) of all teleneurological consultations conducted between July 2015 and December 2017 was screened. Teleneurological diagnosis and hospital discharge diagnosis were compared. Diagnoses were then grouped into two main categories: cerebrovascular disease (CVD) and noncerebrovascular disease. Test characteristics were calculated.
Out of 1078 consultations, 52% (
= 561) had a final diagnosis of CVD. Patients with CVD could be accurately identified via teleneurological consultation (sensitivity 95.2%, 95% CI 93.2-96.8), but we observed a tendency towards false-positive diagnosis (specificity 77.4%, 95% CI 73.6-80.8). Characteristics of patients with a false-negative CVD diagnosis were similar to those of patients with a true-positive diagnosis, but patients with a false-negative CVD diagnosis had ischemic heart disease less frequently. In retrospect, one patient would have been considered a candidate for intravenous thrombolysis (0.2%).
Teleneurological consultations are accurate for identifying patients with CVD, and there is a very low rate of missed candidates for thrombolysis. Apart from a lower prevalence of ischemic heart disease, characteristics of "stroke chameleons" were similar to those of correctly identified CVD patients. |
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ISSN: | 2077-0383 2077-0383 |
DOI: | 10.3390/jcm10061170 |