SepsisNCT05383963
Evaluation of Parameters Collected From Routine Data for the Diagnosis of Sepsis and Septic Shock and Their Influence on Time to Diagnosis and Patient Outcome
An observational study of Sepsis and Septic Shock, run by Charite University, Berlin, Germany at 1 site in Germany.
Trial summary
Retrospective observational study to develop a Machine Learning Algorithm to evaluate parameters collected from routine data for the diagnosis of sepsis and septic shock and their influence on time to diagnosis and patient outcome. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Sepsis, Septic Shock
- How many people
- 10,000 participants
- Where
- 1 siteGermany
- Study dates
- 15 Jul 2022to Dec 2027
- 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: Intensive care unit patients (female, male, miscellaneous) from the age of 18 years with an intensive care stay of > 24 hours in an intensive care unit since 01. 01. 2007 from the Department of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK)
Who may be able to join
- age >= 18 years
- ICU stay of > 24 hours
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.
Germany1 site, 1 recruiting
- Recruiting
Department of Anesthesiology and Operative Intensive Care Medicine CCM/CVK, Charité - Universitätsmedizin Berlin
Berlin, 13353
Claudia Spies, MD, Prof., +49 30 450 55 11 02, claudia.spies@charite.de
Claudia Spies, MD, Prof.
About this study
Official title: Evaluation of Parameters Collected From Routine Data for the Diagnosis of Sepsis and Septic Shock and Their Influence on Time to Diagnosis and Patient Outcome (QUICK-SEPSIS)
Retrospective observational study to develop a Machine Learning Algorithm to evaluate parameters collected from routine data for the diagnosis of sepsis and septic shock and their influence on time to diagnosis and patient outcome.
Read the detailed description
Retrospective routine data from the medical records of the department of anesthesiology and operative intensive care from 01. 01. 2007 to 31. 12. 2021 are analyzed in digital form.
The first step is the development of a machine learning algorithm (MLA). This MLA will be validated and analyzed for his predictive value with regard to early diagnosis of sepsis/septic shock depending on the conceptual value of detection variables (Sepsis-3 vs. SIRS). Further analysis will focus on improvement of accuracy for the MLA and the effect of these detection variables on quality of treatment processes and also on economic consequences like cost and revenue.
Timeline:
- Conception and development of the ML Algorithm (6 months)
- Identification and diagnostic validation of sepsis patients (6 months)
- Secondary analyses (36 months)
- Conditions
- Sepsis, Septic Shock
- Medical subject headings
- Sepsis, Shock, Septic
What is being measured
The primary outcome is the main question the study is designed to answer.
Sepsis/septic shock
Development of a machine learning algorithm (MLA) for the prediction of sepsis/septic shock from hospital routine data.
Measured: 01.01.2007 -31.12.2021
Secondary outcomes (5)
Predictive accuracy
Evaluation of the predictive accuracy (= predictive value) of the respective sepsis diagnostic algorithm (i.e. comparison of the concepts SIRS and Sepsis-3)
Measured: 01.01.2007 -31.12.2021
Diagnostic accuracy
Identification of additional variables for diagnostic accuracy (laboratory values, clinical parameters and vital-sign monitor parameters and other relevant health data
Measured: 01.01.2007 -31.12.2021
Performance indicators
Evaluation of performance indicators of clinical routine processes (Intensive care quality indicators)
Measured: 01.01.2007 -31.12.2021
Case costs
Case costs related to hospitalization
Measured: 01.01.2007 -31.12.2021
Revenues
Revenues related to hospitalization
Measured: 01.01.2007 -31.12.2021
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 May 2022
- Study start15 Jul 2022
- Primary completionSep 2026 (estimated)
- Study completionDec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for SepsisStudies of the same condition, open and under way.
- More trials run by Charite University, Berlin, GermanyThe 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
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 10,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Charite University, Berlin, Germany
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Claudia Spies, Charite University, Berlin, Germany
- Investigators
- Claudia Spies, MD, Prof., Study director, Charite University, Berlin, Germany
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05383963
- Sponsor's protocol ID
- QUICK-SEPSIS
- Status last verified
- Nov 2025
- First submitted
- 17 May 2022
- Last updated
- 1 Dec 2025
- Results posted
- No
- Data monitoring committee
- No
- 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 1 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of Parameters Collected From Routine Data for the Diagnosis of Sepsis and Septic Shock and Their Influence on Time to Diagnosis and Patient Outcome (QUICK-SEPSIS)
- ClinicalTrials.gov ID
- NCT05383963
- Acronym / sponsor ID
- QUICK-SEPSIS
- Conditions
- Sepsis, Septic Shock
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 10,000 participants (estimated)
- Lead sponsor
- Charite University, Berlin, GermanyUniversity, hospital or other
- Study start
- 15 Jul 2022 (actual)
- Primary completion
- Sep 2026 (estimated)
- Study completion
- Dec 2027 (estimated)
- First posted
- 20 May 2022 (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.
Retrospective observational study to develop a Machine Learning Algorithm to evaluate parameters collected from routine data for the diagnosis of sepsis and septic shock and their influence on time to diagnosis and patient outcome.
Detailed description
Retrospective routine data from the medical records of the department of anesthesiology and operative intensive care from 01. 01. 2007 to 31. 12. 2021 are analyzed in digital form.
The first step is the development of a machine learning algorithm (MLA). This MLA will be validated and analyzed for his predictive value with regard to early diagnosis of sepsis/septic shock depending on the conceptual value of detection variables (Sepsis-3 vs. SIRS). Further analysis will focus on improvement of accuracy for the MLA and the effect of these detection variables on quality of treatment processes and also on economic consequences like cost and revenue.
Timeline:
- Conception and development of the ML Algorithm (6 months)
- Identification and diagnostic validation of sepsis patients (6 months)
- Secondary analyses (36 months)
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Intensive care unit patients (female, male, miscellaneous) from the age of 18 years with an intensive care stay of > 24 hours in an intensive care unit since 01. 01. 2007 from the Department of Anesthesiology and Operative Intensive Care Medicine (CCM/CVK)
Key inclusion criteria (2 listed)
- age >= 18 years
- ICU stay of > 24 hours
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.
Primary outcome
Sepsis/septic shock
Time frame: 01.01.2007 -31.12.2021
Development of a machine learning algorithm (MLA) for the prediction of sepsis/septic shock from hospital routine data.
5 secondary outcomes
Predictive accuracy
Time frame: 01.01.2007 -31.12.2021
Diagnostic accuracy
Time frame: 01.01.2007 -31.12.2021
Performance indicators
Time frame: 01.01.2007 -31.12.2021
Case costs
Time frame: 01.01.2007 -31.12.2021
Revenues
Time frame: 01.01.2007 -31.12.2021
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 1 Dec 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.
Claudia Spies, MD, Prof. study director
Charite University, Berlin, Germany
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 Sepsis and Septic Shock, run by Charite University, Berlin, Germany at 1 site in Germany.
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 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: looking for participants now, as of the sponsor's last update on 1 Dec 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 Germany. 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 Claudia Spies, MD, Prof. (+49 30 450 55 11 02, claudia.spies@charite.de), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Sepsis/septic shock (time frame: 01.01.2007 -31.12.2021). 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 1 Dec 2025.