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Stroke Prediction Through Internet Search Queries

NCT04755959 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 450

Last updated 2021-02-16

No results posted yet for this study

Summary

Cerebrovascular disease (stroke) is a leading cause of mortality and disability. Common risk assessment tools for stroke are based on the Framingham equation, which relies on traditional cardiovascular risk factors (e.g., hypertension, dyslipidemia, diabetes, smoking, atrial fibrillation). These risk assessment tools calculate the likelihood for a general vascular "event" such as stroke and myocardial infarction in the near decade, but do not assess the risk for an impending event although that would enable taking immediate preventive action (e.g. anticoagulants for atrial fibrillation; control of hypertension). Covert cerebrovascular disease is linked to subtle cognitive and motor deficits and increased risk for stroke. We hypothesize that it is possible to identify subjects with impending stroke based on their internet communication features 0-12 months prior to the actual occurrence of acute clinical stroke. Based on this we have previously developed an internet-based algorithm that accurately identifies people at risk of stroke through cognitive changes manifested in their search queries. The purpose of this study is to validate the model and train a new model by analyzing Google queries of patients hospitalized in the Tel-Aviv Sourasky Medical Center with stroke. Acute myocardial infarction and unaffected spouses will serve as controls.

Conditions

  • Stroke
  • Acute Myocardial Infarction

Sponsors & Collaborators

  • Tel Aviv University

    collaborator OTHER

  • Tel-Aviv Sourasky Medical Center

    lead OTHER_GOV

Principal Investigators

  • Naftali Stern, Professor · Tel-Aviv Sourasky Medical Center

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-02-28
Primary Completion
2023-06-30
Completion
2023-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04755959 on ClinicalTrials.gov