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The Study of Clinical Value of Acute Physiologic and Chronic Health Evaluation (APACHE) Scoring System in Medical Intensive Care Unit

The recruitment status of this study is unknown. The completion date has passed and the status has not been verified in more than two years.
Verified July 2010 by Sun Yat-sen University.
Recruitment status was:  Not yet recruiting
Sponsor:
ClinicalTrials.gov Identifier:
NCT01162408
First Posted: July 14, 2010
Last Update Posted: July 14, 2010
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Information provided by:
Sun Yat-sen University
  Purpose

Objective: To evaluate and compare the outcome predictive power of Acute Physiologic and Chronic Health Evaluation (APACHE) Ⅳ、Ⅲ、Ⅱ scoring systems for intensive ill patients in an independent medical intensive care unit (MICU), and explore the best time point when they can most accurately predict outcome.

Design: Retrospective analysis of medical records. Methods and Materials: Collect data of patients admitted between July 2010 and July 2013 to the medical intensive care unit of the First Affiliated Hospital of Sun Yat-sen University in Guangzhou, China. Patients with an ICU stay less than 4 hours and age less than 16 years were excluded. Calculate the APACHE Ⅳ、Ⅲ、Ⅱ scores and corresponding predictive mortality risks in the first 24 hours of ICU admission and the 3th, 5th, 7th, 14th, 21 th, 28th day or the day of transferred out of ICU or death. The predictive power of each model was assessed through the ratio of observed death rates and predictive death rates (Standardized mortality ratios, SMR), the calibration of observed and predictive death rates and the discriminative ability between survivors and non-survivors. Hosmer-Lemeshow test was employed for assessing the calibration and the discriminative ability was assessed by the area under the receiver operating curve. Compare the predictive power of the three models at different time points and explore the the best time point when they can most accurately predict outcome.


Condition
APACHE Scoring Systems Intensive Care Units Outcome Prediction Mortality

Study Type: Observational
Study Design: Observational Model: Cohort
Time Perspective: Prospective

Further study details as provided by Sun Yat-sen University:

Estimated Enrollment: 450
Study Start Date: July 2010
  Eligibility

Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years and older   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Probability Sample
Study Population
Patients admitted between July 2010 and July 2013 to the medical intensive care unit of the First Affiliated Hospital of Sun Yat-sen University in Guangzhou, China.
Criteria

Inclusion Criteria:

  • Patients with an ICU stay more than 4 hours and age older than 16 years.

Exclusion Criteria:

  • Patients with an ICU stay less than 4 hours and age less than 16 years.
  Contacts and Locations
No Contacts or Locations Provided
  More Information

Responsible Party: Zeng Mian, Director of Medical Intensive Care Unit,The First Affiliated Hospital of Sun Yat-sen University, The First Affiliated Hospital of Sun Yat-sen University
ClinicalTrials.gov Identifier: NCT01162408     History of Changes
Other Study ID Numbers: 123456
First Submitted: July 13, 2010
First Posted: July 14, 2010
Last Update Posted: July 14, 2010
Last Verified: July 2010

Keywords provided by Sun Yat-sen University:
ICU