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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| ICU | patients postoperatively admitted to ICU |
| |
| no ICU | patients who didn't required ICU admission postoperatively |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ICU admission | Other |
|
| Measure | Description | Time Frame |
|---|---|---|
| Post-operative intensive care surveillance scoring system | 1 hour after the end of surgery |
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Inclusion Criteria:
Exclusion Criteria:
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surgical population
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Humanitas Research Hospital - Dept. Anesthesia and Intensive Care Unit | Rozzano | Milano | 20089 | Italy |
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