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Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: a WSES observational study.
Massimo Sartelli1, Fikri M Abu-Zidan2, Francesco M Labricciosa3
1Department of Surgery, Macerata Hospital, Macerata, Italy.
World Journal of Emergency Surgery : WJES
|July 26, 2019
Summary
A new scoring system, the PIPAS Severity Score, helps predict in-hospital mortality in acute peritonitis patients. This tool aids clinicians in identifying high-risk individuals for timely intervention and improved outcomes.
Area of Science:
- Emergency Medicine
- Surgical Critical Care
- Clinical Prognostication
Background:
- Effective management of acute peritonitis hinges on timely peritoneal source control.
- Early prognostic evaluation is crucial for assessing severity and guiding treatment.
- Identifying predictors of in-hospital mortality is essential for patient care.
Purpose of the Study:
- To identify clinical and laboratory predictors of in-hospital mortality in acute peritonitis patients.
- To develop a globally applicable warning score system for acute peritonitis.
- To create a bedside tool for early risk assessment.
Main Methods:
- Worldwide multicentre observational study involving 153 surgical departments in 56 countries.
- Inclusion of 3137 patients with acute peritonitis between February 1 and May 31, 2018.
- Multivariable logistic regression to identify independent predictors of in-hospital mortality.
Main Results:
- Overall in-hospital mortality rate was 8.9% among 3137 patients.
- Key predictors identified include advanced age, malignancy, severe comorbidities, respiratory rate, systolic blood pressure, consciousness level, SpO2, platelet count, and lactate levels.
- The PIPAS Severity Score demonstrated a strong correlation with mortality rates, ranging from 2.9% to 86.7% based on score categories.
Conclusions:
- The PIPAS Severity Score is a simple, bedside tool for early risk stratification in acute peritonitis.
- This score can be utilized globally to identify patients at high risk of treatment failure and mortality.
- Implementation of the PIPAS score can guide clinical decision-making and resource allocation.
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