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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03281590
Other study ID # 17-281
Secondary ID
Status Completed
Phase
First received
Last updated
Start date September 6, 2017
Est. completion date June 10, 2022

Study information

Verified date October 2021
Source University of New Mexico
Contact n/a
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

This is a single institutional registry database for the patients with stroke and cerebrovascular diseases. Stroke is the fifth leading cause of death in the United States. Despite extensive research, most of the patients die or suffer from varying degree of post-stroke disabilities due to neurologic deficits. This registry aims to understand the disease and examine the disease dynamics in the local community.


Description:

Stroke is the fifth cause of all-cause mortality in US http://www.cdc.gov/stroke/facts.htm Early identification and treatment not only prevent mortality but also morbidity. Recent advancement in the imaging and diagnostic technique and novel therapeutic modalities has dramatically helped to downgrade stroke from the list of top mortality index in the last 3 years. However, studies determining factors which help predict stroke outcome are still underway and much work needs to be done in this direction. Many factors currently are used to predict stroke outcome with varying results, for e.g. NIHSS is a good predictor of stroke outcome at 3 months; however, the investigators need better predictors, outcome scales or outcome measures which are easy, reliable and has better specificity and sensitivity. Acute Brain injury, Transient Ischemic Attack is a special category of a neurological condition wherein there is an impending devastating outcome if workup is not completed in a timely fashion. There is an urgent need to do investigations with high-risk patients to prevent stroke and further mortality and morbidity. The abcd2 score can help us to risk stratify the TIA and to predict the chances of stroke in this specific cohort. However, investigators need better identifiers than already present, to improve the patient changes in secondary prophylaxis of stroke prevention http://www.stroke.org/sites/default/files/resources/tia-abcd2-tool.pdf?docID There is also some correlation of clinical and biochemical predictors in subarachnoid, cerebral venous thrombosis including Hunt and Hess, SAH score, WFNS-SAH grading among others with variable predictive quality. (Rosen et al; Neurocritical Care; April 2005, Volume 2, Issue 2, pp 110-118: Subarachnoid hemorrhage grading scales).


Recruitment information / eligibility

Status Completed
Enrollment 4594
Est. completion date June 10, 2022
Est. primary completion date June 10, 2022
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 1 Year and older
Eligibility Inclusion Criteria: 1. All patients with a diagnosis of Acute Brain injury, Transient Ischemic Attack, Acute and Chronic Ischemic and Hemorrhagic Stroke, Subarachnoid hemorrhage, and cerebral venous thrombosis seen in UNMH. 2. Age >1 years of age. Exclusion Criteria: 1. Patients who don't have the diagnosis of Acute Brain injury, Transient Ischemic Attack, Acute and Chronic Ischemic and Hemorrhagic Stroke, Subarachnoid hemorrhage, and cerebral venous thrombosis. 2. Patients who have Epidural Hematoma, Subdural hematoma.

Study Design


Locations

Country Name City State
United States Department of Neurology, University of New Mexico Albuquerque New Mexico

Sponsors (1)

Lead Sponsor Collaborator
University of New Mexico

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary Improvement or worsening in stroke signs/symptoms. Prospective and retrospective analysis of patients with the acute brain injury, transient ischemic attack, acute and chronic ischemic and hemorrhagic stroke, subarachnoid hemorrhage, and cerebral venous thrombosis from pre-hospitalization, hospitalization (in-patient) and post hospitalization (clinic) data to determine factors which can predict stroke outcome. 1 year
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