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Outcome Prediction clinical trials

Phase 1: Researchers test a new drug or treatment in a small group of people for the first time to evaluate its safety, determine a safe dosage range, and identify side effects.
Phase 2: The drug or treatment is given to a larger group of people to see if it is effective and to further evaluate its safety.
Phase 3: The drug or treatment is given to large groups of people to confirm its effectiveness, monitor side effects, compare it to commonly used treatments, and collect information that will allow the drug or treatment to be used safely.
Phase 4: Studies are done after the drug or treatment has been marketed to gather information on the drug's effect in various populations and any side effects associated with long-term use.

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NCT ID: NCT01162408 Not yet recruiting - Mortality Clinical Trials

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

Start date: July 2010
Phase: N/A
Study type: Observational

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.