Post-operative Adhesion(s) Clinical Trial
POSTOPERATIVE INTENSIVE CARE SURVEILLANCE. A Tool to Optimize ICU-beds Management?
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.
Observational Model: Case Control, Time Perspective: Retrospective
|Source||Istituto Clinico Humanitas|
|Start date||March 2015|
|Completion date||September 2015|