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Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: a WSES observational study.

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Date

2019-07-15

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Sartelli, Massimo
Abu-Zidan, Fikri M
Labricciosa, Francesco M
Kluger, Yoram
Coccolini, Federico
Ansaloni, Luca
Leppäniemi, Ari
Kirkpatrick, Andrew W
Tolonen, Matti
Tranà, Cristian

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Timing and adequacy of peritoneal source control are the most important pillars in the management of patients with acute peritonitis. Therefore, early prognostic evaluation of acute peritonitis is paramount to assess the severity and establish a prompt and appropriate treatment. The objectives of this study were to identify clinical and laboratory predictors for in-hospital mortality in patients with acute peritonitis and to develop a warning score system, based on easily recognizable and assessable variables, globally accepted. This worldwide multicentre observational study included 153 surgical departments across 56 countries over a 4-month study period between February 1, 2018, and May 31, 2018. A total of 3137 patients were included, with 1815 (57.9%) men and 1322 (42.1%) women, with a median age of 47 years (interquartile range [IQR] 28-66). The overall in-hospital mortality rate was 8.9%, with a median length of stay of 6 days (IQR 4-10). Using multivariable logistic regression, independent variables associated with in-hospital mortality were identified: age > 80 years, malignancy, severe cardiovascular disease, severe chronic kidney disease, respiratory rate ≥ 22 breaths/min, systolic blood pressure 80 years, malignancy, severe cardiovascular disease, severe chronic kidney disease, respiratory rate ≥ 22 breaths/min, systolic blood pressure 4 mmol/l. These variables were used to create the PIPAS Severity Score, a bedside early warning score for patients with acute peritonitis. The overall mortality was 2.9% for patients who had scores of 0-1, 22.7% for those who had scores of 2-3, 46.8% for those who had scores of 4-5, and 86.7% for those who have scores of 7-8. The simple PIPAS Severity Score can be used on a global level and can help clinicians to identify patients at high risk for treatment failure and mortality.

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Abdomen
Adult
Aged
Chi-Square Distribution
Female
Hospital Mortality
Humans
Injury Severity Score
Logistic Models
Male
Middle Aged
Prognosis
Risk Factors
Sepsis

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Keywords

Acute peritonitis, Early warning score, Emergency surgery, Source control

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