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Postoperative Intensive Care Surveillance

Completed
Conditions
Post-operative Adhesion(s)
Interventions
Other: ICU admission
Registration Number
NCT02894788
Lead Sponsor
Istituto Clinico Humanitas
Brief 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.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
2498
Inclusion Criteria
  • elective surgery
Exclusion Criteria
  • multiple surgery
  • age less than 18

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
ICUICU admissionpatients postoperatively admitted to ICU
Primary Outcome Measures
NameTimeMethod
Post-operative intensive care surveillance scoring system1 hour after the end of surgery
Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Humanitas Research Hospital - Dept. Anesthesia and Intensive Care Unit

🇮🇹

Rozzano, Milano, Italy

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