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Zh Nevrol Psikhiatr Im S S Korsakova ; 116(3 Pt 2): 23-27, 2016.
Artículo en Ruso | MEDLINE | ID: mdl-27296797

RESUMEN

AIM: Telestroke videoconference for conducting the National Institute of Health Stroke Scale (NIHSS) is recommended when direct bedside evaluation by a stroke specialist is not immediately available for hyperacute stroke assessment. However, some NIHSS-telestroke studies inherit systematic bias due to subjectivity of NIHSS administration. Authors aimed to evaluate NIHSS telestroke assessment, while implementing measures to minimize subjectivity bias. MATERIAL AND METHODS: Ninety acute stroke patients within 48 hours of onset were assessed by 6 stroke neurologists grouped in 15 pairs. Each pair of physicians assessed 6 patients. Patients were allocated through block randomization to a physician pair and order of bedside or remote assessment. Every patient was assessed once at the bedside and once remotely. Remote examination was performed by a neurologist through high-quality videoconferencing, assisted by a nurse at the patient's bedside. Kappa coefficients and the number of patients with a cumulative difference of ≤3 NIHSS points were calculated to compare bedside and remote measures. RESULTS: Cumulative difference of ≤3 NIHSS points was observed in 85.6% (95% CI 76.6%; 92.1%) cases. Therefore, every fifth remote examination may have been inaccurate. Quadratically weighted κ for total NIHSS score was 0.91 (95% CI 0.87; 0.95). Minimal agreements were for commands (κ=0.46), facial palsy (κ=0.43), and ataxia (κ=0.27). Remote assessments were longer than bedside: 8 minutes (IQR 7; 9) versus 6 (IQR 5; 8), p<0.001. CONCLUSION: NIHSS-telestroke assessment using high-quality videoconferencing in the acute stroke settings is closely matched with NIHSS-bedside assessment but it's credibility for clinical use needs further evaluation.


Asunto(s)
Accidente Cerebrovascular/diagnóstico , Telemedicina , Comunicación por Videoconferencia , Humanos , Sistemas de Atención de Punto , Reproducibilidad de los Resultados , Índice de Severidad de la Enfermedad
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