Postoperative Intensive Care Surveillance
NCT02894788 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2498
Last updated 2016-09-09
Summary
Several score systems were created to stratify perioperative risk and predict mortality. The study rises from the needing of a rapid and simple system to identify the patient worthy of Postoperative Intensive Surveillance. In the first phase Authors retrospectively investigated on patients underwent to elective surgery searching for determining factors (DFs) for postoperative ICU admission. Later, Researchers prospectively studied how DFs could predict the admission in ICU of consecutive patients scheduled for elective surgery during a three-months period and created an index, named PoIS (Post-operative Intensive Surveillance), based on the results of this analysis. Authors used surgical invasiveness (SI), Diabetes Mellitus (DM), Myocardiopathy (MCP), Cerebrovascular Disease (CVD), Body Mass Index (BMI), age, serum creatinine level (sCr), Tiffenau Index (TI) and male sex for the development of the original model. Authors classified SI from G1 (lowest) to G5 (highest).
The results show that the power of prediction of postoperative morbidity of PoIS and POSSUM resulted coincident and better than the American Society of Anesthesiology scoring system.
Conditions
- Post-operative Adhesion(s)
Interventions
- OTHER
-
ICU admission
Sponsors & Collaborators
-
Istituto Clinico Humanitas
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2015-03-31
- Primary Completion
- 2015-08-31
- Completion
- 2015-09-30
Countries
- Italy
Study Locations
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