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

Dimitrios Stamatiou Marco Stella Marcin Strzalka Ruslan Sydorchuk Ricardo A. Teixeira Gonsaga Joel Noutakdie Tochie Gia Tomadze Lara Ugoletti Jan Ulrych Toomas Umarik Mustafa Y. Uzunoglu Alin Vasilescu Osborne Vaz Andras Vereczkei Nutu Vlad Maciej Waledziak Ali I. Yahya Omer Yalkin Tonguc U. Yilmaz Ali Ekrem Unal Kuo-Ching Yuan Sanoop K. Zachariah Justas Zilinskas Maurizio Zizzo Vittoria Pattonieri Gian Luca Baiocchi Fausto Catena Massimo Sartelli Fikri M. Abu-Zidan Francesco M. Labricciosa Yoram Kluger Federico Coccolini Luca Ansaloni Ari Leppaniemi Andrew W. Kirkpatrick Matti Tolonen Cristian Trana Jean-Marc Regimbeau 1, 2 Timothy Hardcastle Renol M. Koshy Ashraf Abbas Ulas Aday A. R. K. Adesunkanmi Adesina Ajibade Lali Akhmeteli Emrah Akin Nezih Akkapulu Alhenouf Alotaibi Fatih Altintoprak Dimitrios Anyfantakis Boyko Atanasov Goran Augustin Constanca Azevedo Miklosh Bala Dimitrios Balalis Oussama Baraket Suman Baral Or Barkai Marcelo Beltran Roberto Bini Konstantinos Bouliaris Ana B. Caballero Valentin Calu Marco Catani Marco Ceresoli Vasileios Charalampakis Asri Che Jusoh Massimo Chiarugi Nicola Cillara Raquel Cobos Cuesta Luigi Cobuccio Gianfranco Cocorullo Elif Colak Luigi Conti Yunfeng Cui Belinda de Simone Samir Delibegovic Zaza Demetrashvili Demetrios Demetriades Ana Dimova Agron Dogjani Mushira Enani Federica Farina Francesco Ferrara Domitilla Foghetti Tommaso Fontana Gustavo P. Fraga Mahir Gachabayov Grelpois Gerard Wagih Ghnnam Teresa Gimenez Maurel Georgios Gkiokas Carlos A. Gomes Ali Guner Sanjay Gupta Andreas Hecker Elcio S. Hirano Adrien Hodonou Martin Hutan Igor Ilaschuk Orestis Ioannidis Arda Isik Georgy Ivakhov Sumita Jain Mantas Jokubauskas Aleksandar Karamarkovic Robin Kaushik Jakub Kenig Vladimir Khokha Denis Khokha Jae Il Kim Victor Kong Dimitris Korkolis Vitor F. Kruger Ashok Kshirsagar Romeo Lages Simoes Andrea Lanaia Konstantinos Lasithiotakis Pedro Leao Miguel Leon Arellano Holger Listle Andrey Litvin Aintzane Lizarazu Perez Eudaldo Lopez-Tomassetti Fernandez Eftychios Lostoridis Davide Luppi Gustavo M. Machain Piotr Major Dimitrios Manatakis Marianne Marchini Reitz Athanasios Marinis Daniele Marrelli Aleix Martinez-Perez Sanjay Marwah Michael Mcfarlane Mirza Mesic Cristian Mesina Nickos Michalopoulos Evangelos Misiakos Felipe Goncalves Moreira Ouadii Mouaqit Ali Muhtaroglu Noel Naidoo Ionut Negoi Zane Nikitina Ioannis Nikolopoulos Gabriela-Elisa Nita Savino Occhionorelli Iyiade Olaoye Carlos A. Ordonez Zeynep Ozkan Ajay Pal Gian M. Palini Kyriaki Papageorgiou Dimitris Papagoras Francesco Pata Michal Pedziwiatr Jorge Pereira Gerson A. Pereira Junior Gennaro Perrone Tadeja Pintar Magdalena Pisarska Oleksandr Plehutsa Mauro Podda Gaetano Poillucci Martha Quiodettis Tuba Rahim Daniel Rios-Cruz Gabriel Rodrigues Dmytry Rozov Boris Sakakushev Ibrahima Sall Alexander Sazhin Miguel Semiao Taanya Sharda Vishal Shelat Giovanni Sinibaldi Dmitrijs Skicko Matej Skrovina 
Abstract : BackgroundTiming 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.MethodsThis 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.ResultsA total of 3137 patients were included, with 1815 (57.9%) men and 1322 (42.1%) women, with a median age of 47years (interquartile range [IQR] 28-66). The overall in-hospital mortality rate was 8.9%, with a median length of stay of 6days (IQR 4-10). Using multivariable logistic regression, independent variables associated with in-hospital mortality were identified: age > 80years, malignancy, severe cardiovascular disease, severe chronic kidney disease, respiratory rate >= 22 breaths/min, systolic blood pressure < 100mmHg, AVPU responsiveness scale (voice and unresponsive), blood oxygen saturation level (SpO(2)) < 90% in air, platelet count < 50,000 cells/mm3, and lactate > 4mmol/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.ConclusionsThe 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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https://hal-u-picardie.archives-ouvertes.fr/hal-03595884
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Soumis le : jeudi 3 mars 2022 - 13:59:52
Dernière modification le : jeudi 1 septembre 2022 - 12:20:23

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Dimitrios Stamatiou, Marco Stella, Marcin Strzalka, Ruslan Sydorchuk, Ricardo A. Teixeira Gonsaga, et al.. Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: a WSES observational study. World Journal of Emergency Surgery, BioMed Central, 2019, 14, ⟨10.1186/s13017-019-0253-2⟩. ⟨hal-03595884⟩

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