Testing of Identification Markers for Stroke
TIME
1 other identifier
observational
383
1 country
3
Brief Summary
Stroke is the third leading cause of death and the first cause of physical disability and dementia worldwide. Ischemic stroke caused by large vessel occlusion (LVO) is responsible for the vast majority of deaths and disabilities. A very effective and safe treatment, called mechanical thrombectomy (MT) is available for LVO patients. Nevertheless, no blood biomarkers able to identify LVO patients rapidly and to direct them to CT angiography and thrombectomy currently exist. The TIME study is an observational prospective cohort study. All Patients referred to the emergency department or stroke unit with a suspected stroke as identified by paramedics, nurses or clinicians will be enrolled in the study. A panel of blood biomarkers will be analysed retrospectively via standard laboratory assays. The main outcome of the TIME study will be the evaluation of the clinical diagnostic performance of a panel of blood biomarkers, in conjunction with clinical data, for the identification of large vessel occlusion ischemic stroke subtype. This study will allow the identification and evaluation of a final panel of biomarkers and will prompt the development of a test for LVO stroke diagnosis.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started May 2021
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 20, 2020
CompletedFirst Posted
Study publicly available on registry
March 3, 2020
CompletedStudy Start
First participant enrolled
May 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2023
CompletedApril 3, 2023
March 1, 2023
1.3 years
February 20, 2020
March 29, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy measures for LVO detection vs non-LVO stroke activations
Accuracy of pre-defined algorithm thresholds for LVO identification from the population of all suspected strokes (Ischemics non-LVO, Hemorrhagic, Mimics, TIAs)
1 year
Secondary Outcomes (1)
Optimisation of the cut-off points of the diagnostic algorithm for LVO detection
1 year
Study Arms (1)
BRH
Cohort recruited at Brandon Regional Hospital by Bay Area Consulting Telemedicine
Interventions
Measurement of blood biomarkers and integration within Pockit diagnostics' algorithm for LVO detection
Eligibility Criteria
Patients admitted to the ambulance and ED with suspected stroke will be recruited in the study. Patient population is expected to be composed of \~50% ischemic strokes (of which \~30-40% could have LVOs), \~40% stroke mimics, and \~10% haemorrhagic strokes.
You may qualify if:
- Referred to the ambulance or emergency department for suspected stroke.
- Time from stroke onset \< 18 hours
You may not qualify if:
- Received thrombolytic therapy (e.g. tPA, Alteplase) before collection of blood;
- (Anticipated) inability to provide a blood sample;
- Time from stroke onset \> 18 hours.
- At time of consent participating in a Clinical Trial Investigational Medicinal Product (CTIMP)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- POCKiT diagnostics Ltdlead
- University of Alabama at Birminghamcollaborator
- University of Mississippi Medical Centercollaborator
- Bay Area Consulting Telemedicinecollaborator
Study Sites (3)
University of Alabama in Birmingham Comprehensive Stroke Center
Birmingham, Alabama, 35294, United States
BAC Telemed - Brandon Regional Hospital
Brandon, Florida, 33511, United States
University of Mississippi Medical Center
Jackson, Mississippi, 39216, United States
Related Publications (4)
Malhotra K, Gornbein J, Saver JL. Ischemic Strokes Due to Large-Vessel Occlusions Contribute Disproportionately to Stroke-Related Dependence and Death: A Review. Front Neurol. 2017 Nov 30;8:651. doi: 10.3389/fneur.2017.00651. eCollection 2017.
PMID: 29250029BACKGROUNDNogueira RG, Jadhav AP, Haussen DC, Bonafe A, Budzik RF, Bhuva P, Yavagal DR, Ribo M, Cognard C, Hanel RA, Sila CA, Hassan AE, Millan M, Levy EI, Mitchell P, Chen M, English JD, Shah QA, Silver FL, Pereira VM, Mehta BP, Baxter BW, Abraham MG, Cardona P, Veznedaroglu E, Hellinger FR, Feng L, Kirmani JF, Lopes DK, Jankowitz BT, Frankel MR, Costalat V, Vora NA, Yoo AJ, Malik AM, Furlan AJ, Rubiera M, Aghaebrahim A, Olivot JM, Tekle WG, Shields R, Graves T, Lewis RJ, Smith WS, Liebeskind DS, Saver JL, Jovin TG; DAWN Trial Investigators. Thrombectomy 6 to 24 Hours after Stroke with a Mismatch between Deficit and Infarct. N Engl J Med. 2018 Jan 4;378(1):11-21. doi: 10.1056/NEJMoa1706442. Epub 2017 Nov 11.
PMID: 29129157BACKGROUNDGropen TI, Boehme A, Martin-Schild S, Albright K, Samai A, Pishanidar S, Janjua N, Brandler ES, Levine SR. Derivation and Validation of the Emergency Medical Stroke Assessment and Comparison of Large Vessel Occlusion Scales. J Stroke Cerebrovasc Dis. 2018 Mar;27(3):806-815. doi: 10.1016/j.jstrokecerebrovasdis.2017.10.018. Epub 2017 Nov 22.
PMID: 29174289BACKGROUNDDurrani Y, Gerstl JVE, Murphy D, Harris A, Saali I, Gropen T, Shekhar S, Kappel AD, Patel NJ, Du R, Guardia REA, Vicenty-Padilla JC, Dmytriw AA, Pereira VM, Izzy S, Khan A, Aziz-Sultan MA, Liebeskind DS, Davies JM, Siddiqui AH, Gaude E, Bernstock JD. Prospective Validation of Glial Fibrillary Acidic Protein, d-Dimer, and Clinical Scales for Acute Large-Vessel Occlusion Ischemic Stroke Detection. Stroke Vasc Interv Neurol. 2024 May 17;4(4):e001304. doi: 10.1161/SVIN.123.001304. eCollection 2024 Jul.
PMID: 41585381DERIVED
Biospecimen
Plasma and whole blood
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Shashank Shekar, MD
University of Mississippi Medical Center
- PRINCIPAL INVESTIGATOR
Toby Gropen, MD
University of Alabama in Birmingham Comprehensive Stroke Center
- PRINCIPAL INVESTIGATOR
Allauddin Khan, MD
BAC Telemed (Brandon Regional Hospital)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 20, 2020
First Posted
March 3, 2020
Study Start
May 1, 2021
Primary Completion
August 31, 2022
Study Completion
January 31, 2023
Last Updated
April 3, 2023
Record last verified: 2023-03