- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04541849
Database for Predicting Clinical Outcomes of Critically Ill Patients
May 17, 2024 updated by: National Taiwan University Hospital
Predicting Clinical Outcomes of Critically Ill Patients in Intensive Care Units With De-identification Database
Australian and New Zealand Intensive Care Society (ANZICS) has built a Center of Outcome and Resource Evaluation (CORE) adult patients database (APD) of adult critically ill patients.
ANZICS CORE APD has built an international collaboration of ICU database.
National Taiwan University Hospital has joined this international collaboration and built the data according to the APD data dictionary with same value domain attributes and data element attributes.
We retrospectively collected the data of patients discharged from the March 1, 2019 to June 30, 2022.
Data of this database are permitted to study clinical problems and predict the clinical outcomes of these critically ill patients using statistical methods and machine learning techniques.
Study Overview
Detailed Description
Data of this database are permitted to study the following clinical issues: including delirium, sepsis, acute kidney injury, acute respiratory distress syndrome, disseminated intravascular coagulation, multiple organ injuries, nutrition, survival status, number of days on ventilators, need for renal replacement therapy, length of stays in intensive care unit, length of stay in hospital, and other relevant clinical outcomes.
It is also planned to analyze the clinical prognosis of special disease subgroups and establish a prediction model according to the type of patient's disease.
Study Type
Observational
Enrollment (Estimated)
20000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Yu-Chang Yeh, MD, PhD
- Phone Number: +886-9-10513711
- Email: tonyyeh@ntuh.gov.tw
Study Locations
-
-
-
Taipei, Taiwan, 100
- Recruiting
- National Taiwan University Hospital
-
Contact:
- Yu-Chang Yeh, MD, PhD
- Phone Number: +886-910513711
- Email: tonyyeh@ntuh.gov.tw
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Critically ill patients admitted to intensive care units
Description
Inclusion Criteria:
- Critically ill patients admitted to intensive care units
Exclusion Criteria:
- patients aged less than 18 years
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Retrospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Critically ill patients
|
Critical care in the intensive care units
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
30-day mortality
Time Frame: 30 days
|
mortality status at 30 days after admission to intensive care unit
|
30 days
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Length of stay in intensive care unit
Time Frame: Time of discharge from intensive care unit, a median of 2-7 days
|
number of days in intensive care unite
|
Time of discharge from intensive care unit, a median of 2-7 days
|
|
Delirium
Time Frame: 48 hours
|
Events of delirium within 48 hours after ICU admission
|
48 hours
|
|
Acute kidney Injury
Time Frame: 48 hours
|
Events of acute kidney injury within 48 hours Time Frame: |
48 hours
|
|
Length of stay in intensive care unit
Time Frame: Time of discharge from hospital, more than 1 day
|
Number of days in intensive care unite
|
Time of discharge from hospital, more than 1 day
|
|
Disseminated intravascular coagulation
Time Frame: 48 hours
|
Events of disseminated intravascular coagulation within 48 hours after ICU admission
|
48 hours
|
|
Acute respiratory distress syndrome
Time Frame: 48 hours
|
Events of acute respiratory distress syndrome within 48 hours after ICU admission
|
48 hours
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
September 10, 2020
Primary Completion (Estimated)
December 1, 2025
Study Completion (Estimated)
December 1, 2025
Study Registration Dates
First Submitted
August 30, 2020
First Submitted That Met QC Criteria
September 7, 2020
First Posted (Actual)
September 9, 2020
Study Record Updates
Last Update Posted (Actual)
May 17, 2024
Last Update Submitted That Met QC Criteria
May 17, 2024
Last Verified
May 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 202004016RINB
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
There is not a plan to make individual participant data available according to the regulation of research ethic committee of National Taiwan University Hospital.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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