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Database for Predicting Clinical Outcomes of Critically Ill Patients

Predicting Clinical Outcomes of Critically Ill Patients in Intensive Care Units With De-identification Database

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04541849
Enrollment
20000
Registered
2020-09-09
Start date
2020-09-10
Completion date
2025-12-31
Last updated
2024-05-17

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

Conditions

Critical Illness

Brief summary

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.

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.

Interventions

OTHERCritical Care

Critical care in the intensive care units

Sponsors

National Taiwan University Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Critically ill patients admitted to intensive care units

Exclusion criteria

* patients aged less than 18 years

Design outcomes

Primary

MeasureTime frameDescription
30-day mortality30 daysmortality status at 30 days after admission to intensive care unit

Secondary

MeasureTime frameDescription
Length of stay in intensive care unitTime of discharge from intensive care unit, a median of 2-7 daysnumber of days in intensive care unite
Delirium48 hoursEvents of delirium within 48 hours after ICU admission
Acute kidney Injury48 hoursEvents of acute kidney injury within 48 hours Time Frame:
Disseminated intravascular coagulation48 hoursEvents of disseminated intravascular coagulation within 48 hours after ICU admission
Acute respiratory distress syndrome48 hoursEvents of acute respiratory distress syndrome within 48 hours after ICU admission

Countries

Taiwan

Contacts

Primary ContactYu-Chang Yeh, MD, PhD
tonyyeh@ntuh.gov.tw+886-9-10513711

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026