The Value of PSP in Predicting Outcome in ICU Surgical Peritonitis Patients

University of Magdeburg137 enrolled

Overview

The purpose of this study is to determine the diagnostic accuracy of Pancreatic Stone Protein (PSP) in predicting patient outcomes with suspected peritonitis in the Intensive Care Unit after abdominal surgery and compare PPS with other blood parameters, including C-Reactive Protein (CRP), White Cell Count (WCC), Interleucin-6 (IL-6) and Procalcitonin (PCT).

Peritonitis is a severe complication after abdominal surgery. Patients admitted at the Intensive Care Unit (ICU) following surgery bear the risk of localized infection, sepsis or septic shock. Prevention or early detection of such events is important to intervene with an appropriate therapeutic action and avoid risking a potentially life-threatening situation. White blood cell counts (WCC) and C-Reactive Protein (CRP), Interleucin-6 (IL-6) and Procalcitonin (PCT) have all been promising parameters, however, they are useful only in selective cases and have a limited diagnostic accuracy.

Study Type

OBSERVATIONAL

Enrollment

137

Conditions

Peritonitis Sepsis Multiple Organ Failure Death

Interventions

All abdominal surgical proceduresPROCEDURE

Laparotomy, Laparoscopy

IntubationPROCEDURE

Ventilatory support

ImagingRADIATION

Abdominal ultrasound Computer Tomography Magnetic Resonance Imaging

Eligibility

Sex: ALLMin age: 18 YearsMax age: 90 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Abdominal surgery. * Admission to the Intensive Care Unit (ICU). * Blood sampling within 3 hours from admission to the ICU * Patient over 18 years of age Exclusion Criteria: * Patients already treated for peritonitis. * Patients referred from other hospitals with suspicion of peritonitis * Patient age less than 18 years of age.

Locations (1)

University of Magdeburg

Magdeburg, Germany

Outcomes

Primary Outcomes

Localization of Peritonitis

Localised vs. diffused. A clinical finding intra-operatively and/or radiologically (i.e. CT or MRI)

Time frame: up to 2 months

Data from ClinicalTrials.gov

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