Mortality Clinical Trial
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.
n/a
Observational Model: Cohort, Time Perspective: Prospective
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