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Telemedicine for Optimized Collection of CLinical datA in Patients With Suspicion of Acute Stroke

Telemedicine for Optimized Collection of CLinical datA in Patients With Suspicion of Acute Stroke

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02310282
Acronym
TeleCLASS
Enrollment
50
Registered
2014-12-08
Start date
2014-11-30
Completion date
2017-01-31
Last updated
2016-10-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Stroke

Keywords

Telemedicine, Emergency medicine, Stroke, Stroke syndromes

Brief summary

Observational prospective single-center study on the discriminatory value of the Unassisted TeleStroke Scale for differentiation between patients with lacunar stroke and those with other acute stroke syndromes.

Detailed description

Assessment of stroke severity and differentiation between large-artery and small-artery stroke is pivotal for adequate treatment decision taking. Patients with small vessel stroke tend have a better prognosis than those with large artery disease. Further, patients with small artery infarction (lacunar stroke) have shown to respond well to treatment with intravenous recombinant tissue plasminogen activator (IV rt-PA), but are poor candidates for endovascular recanalization. Conversely, IV rt-PA may be less effective at restoring perfusion of large artery occlusion, a stroke subtype that may benefit from intra-arterial thrombolysis or embolectomy. Similarly, patients with large intracerebral hemorrhage or cerebellar hemorrhage may require neurosurgical interventions, such as intracranial pressure monitoring, ventricular drainage, surgical evacuation, or hemicraniectomy. The purpose of TeleCLASS is to evaluate the discriminatory value of the Unassisted TeleStroke Scale (UTSS) obtained through in-hospital telemedicine for differentiation between patients with lacunar stroke and those with other acute stroke syndromes (nonLACS).

Interventions

DEVICETelemedicine

In-hospital telemedicine

Sponsors

Universitair Ziekenhuis Brussel
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age \> 18 years * Suspicion of acute stroke with symptom onset \< 72 h before teleconsultation * NIHSS score \> 0 * Informed consent Exclusion criterion: * Patients for whom telestroke consultation would delay any diagnostic or therapeutic intervention

Design outcomes

Primary

MeasureTime frameDescription
Predictive validity of the UTSS for patient classification between lacunar syndromes and other stroke syndromes based on the Oxfordshire Community Stroke Project classification.within 3 daysReceiver operating curves, c-statistics, optimal thresholds, likelihood ratios and accuracy measures (sensitivity, specificity, positive predictive value, negative predictive value and overall accuracy) will be calculated to evaluate the predictive ability of the UTSS for discrimination between lacunar syndrome (LACS) and other stroke syndromes (nonLACS)

Secondary

MeasureTime frameDescription
Predictive validity of the UTSS for vessel status, classifying patients with acute ischemic stroke between those with large-artery occlusion and those without large-artery occlusion on imaging.within 3 daysReceiver operating curves, c-statistics, optimal thresholds, likelihood ratios and accuracy measures (sensitivity, specificity, positive predictive value, negative predictive value and overall accuracy) will be calculated to evaluate the predictive ability of the UTSS for discrimination between patients with large-artery occlusion and those without large-artery occlusion on imaging.
Predictive validity of the total UTSS score with cutoff value 6 for patient classification between lacunar syndromes and other stroke syndromes based on the Oxfordshire Community Stroke Project classification.within 3 daysLikelihood ratios and accuracy measures (sensitivity, specificity, positive predictive value, negative predictive value and overall accuracy) will be calculated to evaluate the predictive ability of the UTSS for discrimination between lacunar syndrome (LACS) and other stroke syndromes (nonLACS)

Countries

Belgium

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026