Skip to content

Prediction of neurological prognosis by automated quantitative pupillometry in post resuscitation patients

Prediction of neurological prognosis by automated quantitative pupillometry in post resuscitation patients - Pupil reaction in postresuscitation patient

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000015658
Enrollment
50
Registered
2014-12-01
Start date
2014-12-01
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Post Cardiac Arrest Syndrome

Interventions

None listed

Sponsors

Keio University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: The patients after resuscitation from an out-of-hospital cardiac arrest whose spontaneous circulation has returned in the emergency room or before arrival to the hospital

Exclusion criteria

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

Design outcomes

Primary

MeasureTime frame
The survival rate and consciousness recovery rate by the Glasgow-Pittsburg Outcome Categories on the 30th and 90th hospital day

Countries

Japan

Contacts

Public ContactTakayuki Shibusawa

Keio University School of Medicine Department of Emergency and Critical Care Medicine

takayukishibusawa@gmail.com03-3353-1211

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026