Cardiac Arrest (CA)AR-CPRNCT07778823
Augmented Reality-Cardiopulmonary Resuscitation Support for Pediatric Resuscitation
A study testing AR-CPR in people with Cardiac Arrest (CA) and Pediatric Cardiac Arrest (Simulated), run by Johns Hopkins University at 8 sites in 2 countries.
Trial summary
This study evaluates whether an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) can support health care providers in delivering high-quality chest compressions during pediatric cardiac arrest. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Cardiac Arrest (CA), Pediatric Cardiac Arrest (Simulated), Cardiopulmonary Resuscitation (CPR)
- What is being tested?
- AR-CPR
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 252 participants
- Where
- 8 sitesin 2 countries
- Study dates
- 29 Jun 2025to 30 Jun 2028
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Actively credentialed pediatric emergency department or pediatric intensive care unit nurse or clinical technician at a participating study site
- Current American Heart Association (AHA) Pediatric Advanced Life Support (PALS) certification
Who cannot join
- Inability to physically perform chest compressions
- Need for prescription corrective lenses without having those corrective lenses available at the time of study participation
Trial locations and contacts
8 sites in 2 countries. Contact the study team or a site near you to ask about taking part.
8 sites in 2 countries
United States7 sites, 7 recruiting
- Recruiting
Johns Hopkins Children's Center
Baltimore, Maryland, 21287
Keith Kleinman, MD, 410-955-5000, kkleinm3@jh.edu
- Recruiting
University of Texas Southwestern Medical center/ Children's Health of Dallas
Dallas, Texas, 75235
Neethu Chandran, MD, 214-456-7000, Neethu.Chandran@UTSouthwestern.edu
- Recruiting
Texas Childrens
Houston, Texas, 77030
Julie McCaw, MD, 832-824-1000, jxmccaw@texaschildrens.org
- Recruiting
Columbia University Vagelos College of Physicians and Surgeons
New York, New York, 10032
David Kessler, MD, 212-305-2862, dk2592@cumc.columbia.edu
- Recruiting
Childrens Hospital of Philadelphia
Philadelphia, Pennsylvania, 19104
Brian Lee, MD, 215-590-1000, leeb6@chop.edu
- Recruiting
Brown/Hasbro Children's Hospital
Providence, Rhode Island, 02903
Frank Overly, MD, 401-444-4000, frank.overly@brownphysicians.org
- Recruiting
All Childrens Hopsital
St. Petersburg, Florida, 33701
Alyssa Rake, MD, 727-898-7451, arake1@jh.edu
Canada1 site, 1 recruiting
- Recruiting
The hospital for sick children
Toronto, Ontario
Jabeen Fayyaz, MD, 416-813-1500, jabeen.fayyaz@gmail.com
About this study
Official title: AR-CPR: Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System
This study evaluates whether an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) can support health care providers in delivering high-quality chest compressions during pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display.
In this randomized, multicenter, international, simulation-based non-inferiority study, health care providers perform chest compressions during an 18-minute simulated pediatric cardiac arrest. Participants are assigned to receive either real-time feedback from AR-CPR or coaching from a trained human CPR coach. The primary objective is to determine whether the percentage of chest compressions meeting guideline targets for both rate and depth with AR-CPR is non-inferior to that achieved with human CPR coaching.
Read the detailed description
This prospective, multicenter, international, randomized, unblinded, non-inferiority study evaluates an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) compared with traditional human-delivered quality CPR coaching during simulated pediatric cardiac arrest. The study uses a standardized 18-minute pediatric cardiopulmonary arrest simulation conducted across eight participating institutions in the United States and Canada.
Participants are actively credentialed pediatric emergency department or intensive care unit nurses and clinical technicians with current Pediatric Advanced Life Support (PALS) certification and prior experience or training functioning as quality CPR coaches. Participants are organized into teams of one to three members and perform chest compressions on a standardized high-fidelity pediatric manikin during a simulated non-shockable cardiac arrest involving an intubated 7-year-old child. The simulation is limited to chest compression performance to isolate the effect of the feedback modality on CPR quality.
Participants are randomized at the team level to one of two study arms. In the control arm, an experienced, trained CPR coach provides real-time, goal-directed feedback based on chest compression rate, depth, and recoil. In the intervention arm, participants use AR-CPR, a head-mounted augmented reality system that provides real-time visual feedback on these same CPR performance measures. AR-CPR displays numerical and visual feedback within the participant's field of view and provides escalating goal-directed guidance when CPR performance falls outside established targets.
CPR performance data are collected using the same AR-CPR sensor system in both study arms to provide standardized objective measurement. The study evaluates whether CPR performance with AR-CPR is non-inferior to performance achieved with a trained human CPR coach. The primary measure of CPR performance is the percentage of compressions simultaneously meeting American Heart Association guideline targets for compression rate and depth. Additional assessments characterize other measures of CPR quality and participants' cognitive workload and experience with the augmented reality system.
- Conditions
- Cardiac Arrest (CA), Pediatric Cardiac Arrest (Simulated), Cardiopulmonary Resuscitation (CPR)
- Being tested
- AR-CPR
- Keywords
- augmented reality, cardiopulmonary resuscitation, pediatric cardiac arrest, cpr quality, chest compressions, cpr coaching, real-time feedback, pediatric advanced life support, simulation
- Medical subject headings
- Heart Arrest
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AR-CPRDevice
AR-CPR is a real-time augmented reality CPR feedback system designed to guide chest compression performance during pediatric cardiac arrest. The system uses a compression sensor containing an inertial measurement unit (IMU) and force-sensitive resistor (FSR) connected to a microcontroller. Sensor data are relayed to a Raspberry Pi 5 microcomputer running custom AR-CPR Coach software, which calculates chest compression rate, depth, and recoil. These metrics are transmitted wirelessly to a Vuzix M400 head-mounted display. The augmented reality interface provides numerical values and visual cues within the user's field of view. When performance is outside established targets, the system provides qualitative feedback and, for persistent deviations, escalates to explicit goal-directed instructions.
| Study group | Role | What they receive |
|---|---|---|
| Quality CPR Coaching | No intervention | Participants receive real-time CPR performance feedback from a trained human CPR coach during an 18-minute simulated pediatric cardiac arrest. The CPR coach uses real-time compression rate, depth, and recoil data to provide goal-directed prompts based on Pediatric Advanced Life Support (PALS) targets, positive reinforcement for high-quality CPR, and guidance for compressor changes. |
| AR-CPR | Experimental | Participants use the AR-CPR system during an 18-minute simulated pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display. The system displays numerical values and visual cues and provides goal-directed instructions when CPR performance falls outside established targets. Receives: Device: AR-CPR |
What is being measured
The primary outcome is the main question the study is designed to answer.
Percentage of Overall Excellent CPR
Percentage of chest compressions meeting the study-defined composite criterion for overall excellent CPR. This is a single composite outcome measure in which each chest compression is classified as meeting the outcome only when both compression rate and compression depth simultaneously meet American Heart Association Pediatric Advanced Life Support (AHA PALS) guideline targets. A compression must have both a rate of 100-120 compressions per minute and a depth of 5-6 cm to meet the composite outcome. If either the rate or depth is outside its target range, the compression does not meet the outcome. Rate and depth are therefore not evaluated as separate measurements for this primary outcome; they are simultaneous criteria used to determine whether each compression meets the single composite measure.
Measured: Up to 18 minutes
Secondary outcomes (6)
Percentage of Compressions Meeting Guideline Rate Target
Percentage of chest compressions delivered at the AHA PALS guideline-recommended rate of 100-120 compressions per minute. Measured during the 18-minute simulated pediatric cardiac arrest.
Measured: Up to 18 minutes
Percentage of Compressions Meeting Guideline Rate Depth
Percentage of chest compressions delivered at the AHA PALS guideline-recommended depth of 5-6 cm. Measured during the 18-minute simulated pediatric cardiac arrest.
Measured: Up to 18 minutes
Percentage of Compressions With Adequate Recoil
Percentage of chest compressions meeting the study-defined criterion for adequate chest recoil. During the 18-minute simulated pediatric cardiac arrest.
Measured: Up to 18 minutes
Percentage of Perfect CPR
Percentage of chest compressions simultaneously meeting study criteria for compression rate, depth, and recoil. Measured during the 18-minute simulated pediatric cardiac arrest.
Measured: Up to 18 minutes
Mean Chest Compression Rate
Average chest compression rate, measured in compressions per minute, across the full simulated cardiac arrest event. Measured during the 18-minute simulated pediatric cardiac arrest.
Measured: Up to 18 minutes
Mean Chest Compression Depth
Average chest compression depth, measured in centimeters, across the full simulated cardiac arrest event. Measured during the 18-minute simulated pediatric cardiac arrest.
Measured: Up to 18 minutes
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted21 Aug 2026
- Study start29 Jun 2025
- Primary completion31 Mar 2028 (estimated)
- Study completion30 Jun 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Cardiac Arrest (CA)Studies of the same condition, open and under way.
- More trials run by Johns Hopkins UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 252 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Johns Hopkins University
- Sponsor type
- University, hospital or other
- Collaborators
- The Hospital for Sick Children, Columbia University, Brown University, Children's Hospital of Philadelphia, Johns Hopkins All Children's Hospital, Children's Medical Center Dallas, Baylor College of Medicine, Agency for Healthcare Research and Quality (AHRQ)
- Responsible party
- Sponsor
- Investigators
- Jutin Jeffers, MD, Principal investigator, Johns Hopkins University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07778823
- Sponsor's protocol ID
- IRB00399856
- Other IDs
- 4R33HS029372
- Acronym
- AR-CPR
- Status last verified
- Aug 2026
- First submitted
- 17 Aug 2026
- Last updated
- 26 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- No: Individual participant data will not be publicly shared because the study involves a relatively small, specialized population of healthcare providers recruited from a limited number of participating institutions, which may increase the risk of participant identification. Aggregate and de-identified study results will be reported in scientific publications and presentations.
Publications
Kleinman K, Dean JL, Yu E, Schreurs BA, Jeffers JM. AR-CPR 2.0: Validation of the Accuracy and Precision of a Wearable Coaching System for Improving Chest Compression Performance. J Med Device. 2025 Feb 1;20(1):011007. doi: 10.1115/1.4070016. Epub 2025 Nov 27.
PubMed 41480194Kleinman K, Hairston T, Smith B, Billings E, Tackett S, Chopra E, Risko N, Swedien D, Schreurs BA, Dean JL, Scott B, Canares T, Jeffers JM. Pediatric Chest Compression Improvement Via Augmented Reality Cardiopulmonary Resuscitation Feedback in Community General Emergency Departments: A Mixed-Methods Simulation-Based Pilot Study. J Emerg Med. 2023 Jun;64(6):696-708. doi: 10.1016/j.jemermed.2023.03.058. Epub 2023 Mar 22.
PubMed 37438023Jeffers JM, Schreurs BA, Dean JL, Scott B, Canares T, Tackett S, Smith B, Billings E, Billioux V, Sampathkumar HD, Kleinman K. Paediatric chest compression performance improves via novel augmented-reality cardiopulmonary resuscitation feedback system: A mixed-methods pilot study in a simulation-based setting. Resusc Plus. 2022 Jul 9;11:100273. doi: 10.1016/j.resplu.2022.100273. eCollection 2022 Sep.
PubMed 35844631
Study at a glance
From the registry record, last updated by the sponsor on 26 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- AR-CPR: Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System
- ClinicalTrials.gov ID
- NCT07778823
- Acronym / sponsor ID
- AR-CPR / IRB00399856
- Conditions
- Cardiac Arrest (CA), Pediatric Cardiac Arrest (Simulated), Cardiopulmonary Resuscitation (CPR)
- Keywords
- augmented reality, cardiopulmonary resuscitation, pediatric cardiac arrest, cpr quality, chest compressions, cpr coaching, real-time feedback, pediatric advanced life support
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 252 participants (estimated)
- Lead sponsor
- Johns Hopkins UniversityUniversity, hospital or other
- Collaborators
- The Hospital for Sick Children, Columbia University, Brown University, Children's Hospital of Philadelphia, Johns Hopkins All Children's Hospital, Children's Medical Center Dallas, Baylor College of Medicine, Agency for Healthcare Research and Quality (AHRQ)
- Study start
- 29 Jun 2025 (actual)
- Primary completion
- 31 Mar 2028 (estimated)
- Study completion
- 30 Jun 2028 (estimated)
- First posted
- 21 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study evaluates whether an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) can support health care providers in delivering high-quality chest compressions during pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display.
In this randomized, multicenter, international, simulation-based non-inferiority study, health care providers perform chest compressions during an 18-minute simulated pediatric cardiac arrest. Participants are assigned to receive either real-time feedback from AR-CPR or coaching from a trained human CPR coach. The primary objective is to determine whether the percentage of chest compressions meeting guideline targets for both rate and depth with AR-CPR is non-inferior to that achieved with human CPR coaching.
Detailed description
This prospective, multicenter, international, randomized, unblinded, non-inferiority study evaluates an augmented reality cardiopulmonary resuscitation feedback system (AR-CPR) compared with traditional human-delivered quality CPR coaching during simulated pediatric cardiac arrest. The study uses a standardized 18-minute pediatric cardiopulmonary arrest simulation conducted across eight participating institutions in the United States and Canada.
Participants are actively credentialed pediatric emergency department or intensive care unit nurses and clinical technicians with current Pediatric Advanced Life Support (PALS) certification and prior experience or training functioning as quality CPR coaches. Participants are organized into teams of one to three members and perform chest compressions on a standardized high-fidelity pediatric manikin during a simulated non-shockable cardiac arrest involving an intubated 7-year-old child. The simulation is limited to chest compression performance to isolate the effect of the feedback modality on CPR quality.
Participants are randomized at the team level to one of two study arms. In the control arm, an experienced, trained CPR coach provides real-time, goal-directed feedback based on chest compression rate, depth, and recoil. In the intervention arm, participants use AR-CPR, a head-mounted augmented reality system that provides real-time visual feedback on these same CPR performance measures. AR-CPR displays numerical and visual feedback within the participant's field of view and provides escalating goal-directed guidance when CPR performance falls outside established targets.
CPR performance data are collected using the same AR-CPR sensor system in both study arms to provide standardized objective measurement. The study evaluates whether CPR performance with AR-CPR is non-inferior to performance achieved with a trained human CPR coach. The primary measure of CPR performance is the percentage of compressions simultaneously meeting American Heart Association guideline targets for compression rate and depth. Additional assessments characterize other measures of CPR quality and participants' cognitive workload and experience with the augmented reality system.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Quality CPR Coaching | No intervention | –Participants receive real-time CPR performance feedback from a trained human CPR coach during an 18-minute simulated pediatric cardiac arrest. The CPR coach uses real-time compression rate, depth, and recoil data to provide goal-directed prompts based on Pediatric Advanced Life Support (PALS) targets, positive reinforcement for high-quality CPR, and guidance for compressor changes. |
| AR-CPR | Experimental | Device: AR-CPRParticipants use the AR-CPR system during an 18-minute simulated pediatric cardiac arrest. AR-CPR provides real-time visual feedback on chest compression rate, depth, and recoil through a head-mounted augmented reality display. The system displays numerical values and visual cues and provides goal-directed instructions when CPR performance falls outside established targets. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- Actively credentialed pediatric emergency department or pediatric intensive care unit nurse or clinical technician at a participating study site
- Current American Heart Association (AHA) Pediatric Advanced Life Support (PALS) certification
Key exclusion criteria (2 listed)
- Inability to physically perform chest compressions
- Need for prescription corrective lenses without having those corrective lenses available at the time of study participation
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AR-CPRAR-CPR is a real-time augmented reality CPR feedback system designed to guide chest compression performance during pediatric cardiac arrest. The system uses a compression sensor containing an inertial measurement unit (IMU) and force-sensitive resistor (FSR) connected to a microcontroller. Sensor data are relayed to a Raspberry Pi 5 microcomputer running custom AR-CPR Coach software, which calculates chest compression rate, depth, and recoil. These metrics are transmitted wirelessly to a Vuzix M400 head-mounted display. The augmented reality interface provides numerical values and visual cues within the user's field of view. When performance is outside established targets, the system provides qualitative feedback and, for persistent deviations, escalates to explicit goal-directed instructions. | Device | AR-CPR |
Primary outcome
Percentage of Overall Excellent CPR
Time frame: Up to 18 minutes
Percentage of chest compressions meeting the study-defined composite criterion for overall excellent CPR. This is a single composite outcome measure in which each chest compression is classified as meeting the outcome only when both compression rate and compression depth simultaneously meet American Heart Association Pediatric Advanced Life Support (AHA PALS) guideline targets. A compression must have both a rate of 100-120 compressions per minute and a depth of 5-6 cm to meet the composite outcome. If either the rate or depth is outside its target range, the compression does not meet the outcome. Rate and depth are therefore not evaluated as separate measurements for this primary outcome; they are simultaneous criteria used to determine whether each compression meets the single composite measure.
6 secondary outcomes
Percentage of Compressions Meeting Guideline Rate Target
Time frame: Up to 18 minutes
Percentage of Compressions Meeting Guideline Rate Depth
Time frame: Up to 18 minutes
Percentage of Compressions With Adequate Recoil
Time frame: Up to 18 minutes
Percentage of Perfect CPR
Time frame: Up to 18 minutes
Mean Chest Compression Rate
Time frame: Up to 18 minutes
Mean Chest Compression Depth
Time frame: Up to 18 minutes
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Aug 2026.
- Background: PubMed 41480194Kleinman K, Dean JL, Yu E, Schreurs BA, Jeffers JM. AR-CPR 2.0: Validation of the Accuracy and Precision of a Wearable Coaching System for Improving Chest Compression Performance. J Med Device. 2025 Feb 1;20(1):011007. doi: 10.1115/1.4070016. Epub 2025 Nov 27.
- Background: PubMed 37438023Kleinman K, Hairston T, Smith B, Billings E, Tackett S, Chopra E, Risko N, Swedien D, Schreurs BA, Dean JL, Scott B, Canares T, Jeffers JM. Pediatric Chest Compression Improvement Via Augmented Reality Cardiopulmonary Resuscitation Feedback in Community General Emergency Departments: A Mixed-Methods Simulation-Based Pilot Study. J Emerg Med. 2023 Jun;64(6):696-708. doi: 10.1016/j.jemermed.2023.03.058. Epub 2023 Mar 22.
- Background: PubMed 35844631Jeffers JM, Schreurs BA, Dean JL, Scott B, Canares T, Tackett S, Smith B, Billings E, Billioux V, Sampathkumar HD, Kleinman K. Paediatric chest compression performance improves via novel augmented-reality cardiopulmonary resuscitation feedback system: A mixed-methods pilot study in a simulation-based setting. Resusc Plus. 2022 Jul 9;11:100273. doi: 10.1016/j.resplu.2022.100273. eCollection 2022 Sep.
- Individual participant dataSharing planned: No. Individual participant data will not be publicly shared because the study involves a relatively small, specialized population of healthcare providers recruited from a limited number of participating institutions, which may increase the risk of participant identification. Aggregate and de-identified study results will be reported in scientific publications and presentations.
Related trials for Cardiac Arrest (CA)
Not yet recruitingObservational study
CAROTID DOPPLER AND CEREBRAL OXIMERY IN POST CARDIAC ARREST ICU PATIENTS
Cardiac Arrest (CA), Carotid Doppler
RecruitingObservational study
Evaluation of Acid-base Disorders and Ventilation Settings in Cardiogenic Shock and Post-cardiac Arrest Patients: Comparison With VentilO Algorithm
Cardiac Arrest (CA), Cardiogenic Shock
RecruitingObservational study
Smartphone Enabled Detection of Cognitive Motor Dissociation in the ICU
Traumatic Brain Injury (TBI) Patients, Intracerebral Hemorrhage
Not yet recruiting
The OXY-VENT Study
Cardiac Arrest (CA), Cardiopulmonary Resuscitation (CPR)
RecruitingObservational study
Physiology-directed Epinephrine Dosing in Pediatric Cardiac Arrest
Cardiac Arrest (CA)
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Jutin Jeffers, MD principal investigator
Johns Hopkins University
8 sites in 2 countries: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AR-CPR in people with Cardiac Arrest (CA) and Pediatric Cardiac Arrest (Simulated), run by Johns Hopkins University at 8 sites in 2 countries.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 26 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 8 sites in United States, Canada. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Keith Kleinman, MD (410-955-5000, kkleinm3@jh.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Percentage of Overall Excellent CPR (time frame: Up to 18 minutes). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07778823, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Aug 2026.