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Database for Predicting Clinical Outcomes of Critically Ill Patients

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National Taiwan University

Status

Enrolling

Conditions

Critical Illness

Treatments

Other: Critical Care

Study type

Observational

Funder types

Other

Identifiers

NCT04541849
202004016RINB

Details and patient eligibility

About

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.

Full 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.

Enrollment

20,000 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Critically ill patients admitted to intensive care units

Exclusion criteria

  • patients aged less than 18 years

Trial design

20,000 participants in 1 patient group

Critically ill patients
Treatment:
Other: Critical Care

Trial contacts and locations

1

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Central trial contact

Yu-Chang Yeh, MD, PhD

Data sourced from clinicaltrials.gov

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