Database for Predicting Clinical Outcomes of Critically Ill Patients

NCT04541849 | Recruiting

• 1 other identifier: 202004016RINB
• Study Type: observational
• Target: 20,000
• Locations: 1 country
• Sites: 1

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.

Conditions

Critical Illness

Outcome Measures

Primary Outcomes (1)

• 30-day mortality

  mortality status at 30 days after admission to intensive care unit

  30 days

Secondary Outcomes (6)

• Length of stay in intensive care unit

  Time of discharge from intensive care unit, a median of 2-7 days

• Delirium

  48 hours

• Acute kidney Injury

  48 hours

• Length of stay in intensive care unit

  Time of discharge from hospital, more than 1 day

• Disseminated intravascular coagulation

  48 hours

Study Arms (1)

Critically ill patients

Other: Critical Care

Interventions

Critical Care OTHER

Critical care in the intensive care units

Critically ill patients

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Critically ill patients admitted to intensive care units

You may qualify if:

• Critically ill patients admitted to intensive care units

You may not qualify if:

• patients aged less than 18 years

Sponsors & Collaborators

• National Taiwan University Hospital: lead

Study Sites (1)

National Taiwan University Hospital

Taipei, 100, Taiwan

RECRUITING

MeSH Terms

Conditions

Critical Illness

Interventions

Critical Care

Condition Hierarchy (Ancestors)

Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Patient Care; Therapeutics; Health Services; Health Care Facilities Workforce and Services

Central Study Contacts

Yu-Chang Yeh, MD, PhD

CONTACT

+886-9-10513711; tonyyeh@ntuh.gov.tw

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 30, 2020
• First Posted: September 9, 2020
• Study Start: September 10, 2020
• Primary Completion: December 1, 2025
• Study Completion: December 1, 2025
• Last Updated: May 17, 2024

Record last verified: 2024-05

Data Sharing

• IPD Sharing: Will not share

Locations

TW (1)