Cardiac ArrestPREDOHCANCT06030986
Prediction of Outcome in Out-of-Hospital Cardiac Arrest
An observational study of Cardiac Arrest, run by Kepler University Hospital at 1 site in Austria.
Trial summary
In the course of prehospital respiratory and circulatory arrest, approximately 1000 persons are resuscitated by cardiopulmonary resuscitation in Upper Austria every year. Despite constant further development of methods, equipment and continuous training of the rescue and emergency medical teams working on site, the… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Cardiac Arrest
- What is being tested?
- ILCOR Utstein OHCA Core Outcome
- How many people
- 10,000 participants
- Where
- 1 siteAustria
- Study dates
- 1 Dec 2025to 31 Dec 2026
- Phase
- Observational
- 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
- No healthy volunteers
- Adult, Older adult
Study population: As described in the inclusion criteria.
Who may be able to join
- Patients 18 years or older AND
- between 2015-01-01 and 2023-10-31 AND
- have been treated by emergency medical teams of the Austrian Red Cross, District Branch of Upper Austria AND
- have suffered out-of-hospital cardiac arrest AND
- have been treated by emergency physicians while out of hospital AND
- have been transported to the Kepler University Hospital, Linz, Austria
Who cannot join
- none
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Austria1 site
Kepler University Hospital
Linz, Upper Austria, 4020
Jens Meier, MD, +435768083 ext. 2158, jens.meier@kepleruniklinikum.at
Thomas Tschoellitsch, MD, +435768083 ext. 78132, thomas.tschoellitsch@jku.at
About this study
In the course of prehospital respiratory and circulatory arrest, approximately 1000 persons are resuscitated by cardiopulmonary resuscitation in Upper Austria every year. Despite constant further development of methods, equipment and continuous training of the rescue and emergency medical teams working on site, the majority of patients who have to be resuscitated prehospital still die. However, even patients whose circulatory function can be restored during prehospital resuscitation (Return of Spontaneous Circulation, ROSC) require intensive medical care for days to weeks and often find it very difficult to return to a normal, independent life.
The success of resuscitation measures depends on the quality of the resuscitation performed as well as on patient-specific factors. Evaluation scales such as the Cerebral Performance Category score (CPC) allow a posteriori assessment of resuscitation success. Nowadays, it is very difficult to estimate the outcome of resuscitation a priori. In many cases, it is not at all clear at the beginning of the treatment pathway whether the individual patient is expected to have an unfavorable prognosis in the context of respiratory arrest or whether a restitutio ad integrum is possible.
Read more
Thus, the decision to continue or discontinue resuscitation can only be made on the basis of an individual physician's assessment. In addition to the primary concern of stopping resuscitation too early, there is also the risk that medical resources are used beyond the normal level after resuscitation without expecting a successful outcome. Estimating and categorizing the subsequent outcome is difficult and emotionally stressful for the treating team in the acute situation. Some factors that influence outcome are now known: As cerebral hypoperfusion increases, the probability of survival decreases sharply with each passing minute. In this context, potentially reversible causes have been identified in different works, allowing causal therapy to improve neurological outcome. In addition to the most important therapy bridging hypoperfusion, chest compression, with the aim of ensuring minimal perfusion of the brain, immediate defibrillation should be mentioned in particular, which now allows medical laypersons to use defibrillators as part of the Public Access Defibrillation Network.
Despite all efforts, however, it is not yet possible to make reliable statements about the probable outcome of persons with respiratory and circulatory arrest with a high degree of certainty in a large number of cases at an early stage.
Artificial intelligence refers to the ability of machines to perform cognitive tasks, such as recognizing objects in images and classifying them. For a long time, many processes were too complex to explore through sufficient computing power, storage capacity, and understanding. More recently, however, technological advances have brought machine learning (ML) and the constructs behind it, including those based on so-called neural networks (known since about 1950), back to the fore. Not only the development of theoretical models, but after extensive testing also devices applicable in daily routine operation are available.
Modern machine learning methods are enabling a variety of new approaches to assessing operations, including modeling complex systems and finding relationships between models.
- Conditions
- Cardiac Arrest
- Being tested
- ILCOR Utstein OHCA Core Outcome
- Medical subject headings
- Heart Arrest
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ILCOR Utstein OHCA Core OutcomeDiagnostic test
ILCOR Utstein OHCA Core Outcome
| Study group | Role | What they receive |
|---|---|---|
| ILCOR Utstein OHCA Core Outcome Positive | Respectively for all core outcomes defined. Receives: Diagnostic Test: ILCOR Utstein OHCA Core Outcome | |
| ILCOR Utstein OHCA Core Outcome Negative | Respectively for all core outcomes defined. Receives: Diagnostic Test: ILCOR Utstein OHCA Core Outcome |
What is being measured
The primary outcome is the main question the study is designed to answer.
AUC-ROC for Prediction of ILCOR Utstein OHCA Core Outcome
AUC-ROC for Prediction of ILCOR Utstein OHCA Core Outcome
Measured: 2015-01-01 - 2023-10-31
AUC-PRC for Prediction of ILCOR Utstein OHCA Core Outcome
AUC-PRC for Prediction of ILCOR Utstein OHCA Core Outcome
Measured: 2015-01-01 - 2023-10-31
F1-Score for Prediction of ILCOR Utstein OHCA Core Outcome
F1-Score for Prediction of ILCOR Utstein OHCA Core Outcome
Measured: 2015-01-01 - 2023-10-31
Confusion Matrix for Prediction of ILCOR Utstein OHCA Core Outcome
Confusion Matrix for Prediction of ILCOR Utstein OHCA Core Outcome
Measured: 2015-01-01 to 2023-10-31
Secondary outcomes (4)
AUC-ROC for Prediction of Diagnosis at Hospital Discharge
AUC-ROC for Prediction of Diagnosis at Hospital Discharge
Measured: 2015-01-01 - 2023-10-31
AUC-PRC for Prediction of Diagnosis at Hospital Discharge
AUC-PRC for Prediction of Diagnosis at Hospital Discharge
Measured: 2015-01-01 - 2023-10-31
F1-Score for Prediction of Diagnosis at Hospital Discharge
F1-Score for Prediction of Diagnosis at Hospital Discharge
Measured: 2015-01-01 - 2023-10-31
Confusion Matrix for Prediction of Diagnosis at Hospital Discharge
Confusion Matrix for Prediction of Diagnosis at Hospital Discharge
Measured: 2015-01-01 - 2023-10-31
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Sep 2023
- Study start1 Dec 2025 (estimated)
- Primary completion30 Jun 2026 (estimated)
- Study completion31 Dec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Cardiac ArrestStudies of the same condition, open and under way.
- 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
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 10,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Kepler University Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06030986
- Sponsor's protocol ID
- PREDOHCA
- Acronym
- PREDOHCA
- Status last verified
- Oct 2024
- First submitted
- 3 Sep 2023
- Last updated
- 3 Jul 2025
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 3 Jul 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Prediction of Outcome in Out-of-Hospital Cardiac Arrest
- ClinicalTrials.gov ID
- NCT06030986
- Acronym / sponsor ID
- PREDOHCA / PREDOHCA
- Conditions
- Cardiac Arrest
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 10,000 participants (estimated)
- Lead sponsor
- Kepler University HospitalUniversity, hospital or other
- Study start
- 1 Dec 2025 (estimated)
- Primary completion
- 30 Jun 2026 (estimated)
- Study completion
- 31 Dec 2026 (estimated)
- First posted
- 11 Sep 2023 (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.
In the course of prehospital respiratory and circulatory arrest, approximately 1000 persons are resuscitated by cardiopulmonary resuscitation in Upper Austria every year. Despite constant further development of methods, equipment and continuous training of the rescue and emergency medical teams working on site, the majority of patients who have to be resuscitated prehospital still die. However, even patients whose circulatory function can be restored during prehospital resuscitation (Return of Spontaneous Circulation, ROSC) require intensive medical care for days to weeks and often find it very difficult to return to a normal, independent life.
The success of resuscitation measures depends on the quality of the resuscitation performed as well as on patient-specific factors. Evaluation scales such as the Cerebral Performance Category score (CPC) allow a posteriori assessment of resuscitation success. Nowadays, it is very difficult to estimate the outcome of resuscitation a priori. In many cases, it is not at all clear at the beginning of the treatment pathway whether the individual patient is expected to have an unfavorable prognosis in the context of respiratory arrest or whether a restitutio ad integrum is possible.
Thus, the decision to continue or discontinue resuscitation can only be made on the basis of an individual physician's assessment. In addition to the primary concern of stopping resuscitation too early, there is also the risk that medical resources are used beyond the normal level after resuscitation without expecting a successful outcome. Estimating and categorizing the subsequent outcome is difficult and emotionally stressful for the treating team in the acute situation. Some factors that influence outcome are now known: As cerebral hypoperfusion increases, the probability of survival decreases sharply with each passing minute. In this context, potentially reversible causes have been identified in different works, allowing causal therapy to improve neurological outcome. In addition to the most important therapy bridging hypoperfusion, chest compression, with the aim of ensuring minimal perfusion of the brain, immediate defibrillation should be mentioned in particular, which now allows medical laypersons to use defibrillators as part of the Public Access Defibrillation Network.
Despite all efforts, however, it is not yet possible to make reliable statements about the probable outcome of persons with respiratory and circulatory arrest with a high degree of certainty in a large number of cases at an early stage.
Artificial intelligence refers to the ability of machines to perform cognitive tasks, such as recognizing objects in images and classifying them. For a long time, many processes were too complex to explore through sufficient computing power, storage capacity, and understanding. More recently, however, technological advances have brought machine learning (ML) and the constructs behind it, including those based on so-called neural networks (known since about 1950), back to the fore. Not only the development of theoretical models, but after extensive testing also devices applicable in daily routine operation are available.
Modern machine learning methods are enabling a variety of new approaches to assessing operations, including modeling complex systems and finding relationships between models.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| ILCOR Utstein OHCA Core Outcome Positive | – | Diagnostic Test: ILCOR Utstein OHCA Core OutcomeRespectively for all core outcomes defined. |
| ILCOR Utstein OHCA Core Outcome Negative | – | Diagnostic Test: ILCOR Utstein OHCA Core OutcomeRespectively for all core outcomes defined. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- As described in the inclusion criteria.
Key inclusion criteria (6 listed)
- Patients 18 years or older AND
- between 2015-01-01 and 2023-10-31 AND
- have been treated by emergency medical teams of the Austrian Red Cross, District Branch of Upper Austria AND
- have suffered out-of-hospital cardiac arrest AND
- have been treated by emergency physicians while out of hospital AND
Key exclusion criteria (1 listed)
- none
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 |
|---|---|---|
| ILCOR Utstein OHCA Core OutcomeILCOR Utstein OHCA Core Outcome | Diagnostic test | ILCOR Utstein OHCA Core Outcome Negative, ILCOR Utstein OHCA Core Outcome Positive |
Primary outcome
AUC-ROC for Prediction of ILCOR Utstein OHCA Core Outcome
Time frame: 2015-01-01 - 2023-10-31
AUC-ROC for Prediction of ILCOR Utstein OHCA Core Outcome
AUC-PRC for Prediction of ILCOR Utstein OHCA Core Outcome
Time frame: 2015-01-01 - 2023-10-31
AUC-PRC for Prediction of ILCOR Utstein OHCA Core Outcome
F1-Score for Prediction of ILCOR Utstein OHCA Core Outcome
Time frame: 2015-01-01 - 2023-10-31
F1-Score for Prediction of ILCOR Utstein OHCA Core Outcome
Confusion Matrix for Prediction of ILCOR Utstein OHCA Core Outcome
Time frame: 2015-01-01 to 2023-10-31
Confusion Matrix for Prediction of ILCOR Utstein OHCA Core Outcome
4 secondary outcomes
AUC-ROC for Prediction of Diagnosis at Hospital Discharge
Time frame: 2015-01-01 - 2023-10-31
AUC-PRC for Prediction of Diagnosis at Hospital Discharge
Time frame: 2015-01-01 - 2023-10-31
F1-Score for Prediction of Diagnosis at Hospital Discharge
Time frame: 2015-01-01 - 2023-10-31
Confusion Matrix for Prediction of Diagnosis at Hospital Discharge
Time frame: 2015-01-01 - 2023-10-31
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 3 Jul 2025.
- Individual participant dataSharing planned: No
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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.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Cardiac Arrest, run by Kepler University Hospital at 1 site in Austria.
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 6 inclusion and 1 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: opening soon, as of the sponsor's last update on 3 Jul 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Austria. 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 Thomas Tschoellitsch, MD (+435768083 ext. 78132, thomas.tschoellitsch@jku.at), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
AUC-ROC for Prediction of ILCOR Utstein OHCA Core Outcome (time frame: 2015-01-01 - 2023-10-31). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 3 Jul 2025.