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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Critically ill patients |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Critical Care | Other | Critical care in the intensive care units |
|
| Measure | Description | Time Frame |
|---|---|---|
| 30-day mortality | mortality status at 30 days after admission to intensive care unit | 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| Length of stay in intensive care unit | number of days in intensive care unite | Time of discharge from intensive care unit, a median of 2-7 days |
| Delirium | Events of delirium within 48 hours after ICU admission |
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Inclusion Criteria:
Exclusion Criteria:
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Critically ill patients admitted to intensive care units
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yu-Chang Yeh, MD, PhD | Contact | +886-9-10513711 | tonyyeh@ntuh.gov.tw |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Taiwan University Hospital | Recruiting | Taipei | 100 | Taiwan |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39696315 | Derived | Yeh YC, Kuo YT, Kuo KC, Cheng YW, Liu DS, Lai F, Kuo LC, Lee TJ, Chan WS, Chiu CT, Tsai MT, Chao A, Chou NK, Yu CJ, Ku SC. Early prediction of mortality upon intensive care unit admission. BMC Med Inform Decis Mak. 2024 Dec 18;24(1):394. doi: 10.1186/s12911-024-02807-6. |
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There is not a plan to make individual participant data available according to the regulation of research ethic committee of National Taiwan University Hospital.
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| ID | Term |
|---|---|
| D016638 | Critical Illness |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| ID | Term |
|---|---|
| D003422 | Critical Care |
| ID | Term |
|---|---|
| D005791 | Patient Care |
| D013812 | Therapeutics |
| D006296 | Health Services |
| D005159 | Health Care Facilities Workforce and Services |
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| 48 hours |
| Acute kidney Injury | Events of acute kidney injury within 48 hours Time Frame: | 48 hours |
| Length of stay in intensive care unit | Number of days in intensive care unite | Time of discharge from hospital, more than 1 day |
| Disseminated intravascular coagulation | Events of disseminated intravascular coagulation within 48 hours after ICU admission | 48 hours |
| Acute respiratory distress syndrome | Events of acute respiratory distress syndrome within 48 hours after ICU admission | 48 hours |