Prediction of neurological prognosis by automated quantitative pupillometry in post resuscitation patients
Not Applicable
- Conditions
- Post Cardiac Arrest Syndrome
- Registration Number
- JPRN-UMIN000015658
- Lead Sponsor
- Keio University School of Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up complete
- Sex
- All
- Target Recruitment
- 50
Inclusion Criteria
Not provided
Exclusion Criteria
1.Trauma, aortic dissection, or terminal stage of cancer 2.Do Not Attempt Resuscitate (DNAR) 3.A pregnant woman 4.A cerebral function state before cardiac arrest is poor 5.Use of PCPS 6.Patients not applicable for the study
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The survival rate and consciousness recovery rate by the Glasgow-Pittsburg Outcome Categories on the 30th and 90th hospital day
- Secondary Outcome Measures
Name Time Method