ClinicalTrials.Veeva

Menu

Postoperative Intensive Care Surveillance (PoIS)

I

Istituto Clinico Humanitas

Status

Completed

Conditions

Post-operative Adhesion(s)

Treatments

Other: ICU admission

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

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.

Enrollment

2,498 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • elective surgery

Exclusion criteria

  • multiple surgery
  • age less than 18

Trial design

2,498 participants in 2 patient groups

ICU
Description:
patients postoperatively admitted to ICU
Treatment:
Other: ICU admission
no ICU
Description:
patients who didn't required ICU admission postoperatively

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems