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DOI 10.3390/jcm10061170

Медицинская библиотека · Journal of clinical medicine · 2021

Diagnostic Accuracy in Teleneurological Stroke Consultations.

Kühne Escolà Jordi, Nagel Simon, Verez Sola Christina, Doroszewski Eva, Jaschonek Hannah, Gutschalk Alexander, Gumbinger Christoph, Purrucker Jan C

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Аннотация

BACKGROUND

The accuracy of diagnosing acute cerebrovascular disease via a teleneurology service and the characteristics of misdiagnosed patients are insufficiently known.

METHODS

A random sample (n = 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.

RESULTS

Out of 1078 consultations, 52% (n = 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%).

CONCLUSIONS

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.

Для цитирования: Kühne Escolà Jordi, Nagel Simon, Verez Sola Christina, Doroszewski Eva, Jaschonek Hannah, Gutschalk Alexander, Gumbinger Christoph, Purrucker Jan C. Diagnostic Accuracy in Teleneurological Stroke Consultations.. Journal of clinical medicine. 2021. DOI: 10.3390/jcm10061170.
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