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M. Sartelli, F. Abu-Zidan, Francesco M Labricciosa, Y. Kluger, F. Coccolini, L. Ansaloni, A. Leppäniemi, A. Kirkpatrick, M. Tolonen, C. Tranà, J. Regimbeau, T. Hardcastle, R. Koshy, A. Abbas, U. Aday, A. Adesunkanmi, A. Ajibade, L. Akhmeteli, E. Akın, N. Akkapulu, Alhenouf Alotaibi, F. Altıntoprak, D. Anyfantakis, B. Atanasov, G. Augustin, C. Azevedo, M. Bala, D. Balalis, O. Baraket, S. Baral, Or Barkai, M. Beltrán, R. Bini, K. Bouliaris, A. Caballero, V. Calu, M. Catani, M. Ceresoli, V. Charalampakis, A. Jusoh, M. Chiarugi, N. Cillara, R. C. Cuesta, L. Cobuccio, G. Cocorullo, E. Colak, L. Conti, Yunfeng Cui, B. de Simone, S. Delibegović, Z. Demetrashvili, D. Demetriades, A. Dimova, A. Dogjani, M. Enani, Federica Farina, F. Ferrara, D. Foghetti, T. Fontana, G. Fraga, M. Gachabayov, G. Gérard, W. Ghnnam, T. G. Maurel, Georgios Gkiokas, C. Gomes, A. Guner, Sanjay Gupta, A. Hecker, E. S. Hirano, A. Hodonou, M. Huťan, Igor Ilaschuk, O. Ioannidis, A. Işık, G. Ivakhov, Sumita A. Jain, Mantas Jokubauskas, A. Karamarkovic, R. Kaushik, J. Kenig, V. Khokha, D. Khokha, J. I. Kim, V. Kong, D. Korkolis, V. Kruger, A. Kshirsagar, R. L. Simões, A. Lanaia, K. Lasithiotakis, P. Leão, M. Arellano, H. Listle, A. Litvin, Aintzane Lizarazu Perez, E. L. López-Tomassetti Fernández, E. Lostoridis, D. Luppi, G. Machain V, P. Major, D. Manatakis, M. Reitz, A. Marinis, D. Marrelli, A. Martínez-Pérez, S. Marwah, M. McFarlane, Mirza Mešić, C. Mesina, N. Michalopoulos, E. Misiakos, F. Moreira, O. Mouaqit, A. Muhtaroğlu, N. Naidoo, Ionut Negoi, Z. Nikitina, I. Nikolopoulos, G. Nita, S. Occhionorelli, I. Olaoye, C. Ordoñez, Z. Ozkan, A. Pal, G. Palini, K. Papageorgiou, D. Papagoras, F. Pata, M. Pędziwiatr, J. Pereira, G. A. Pereira Júnior, G. Perrone, T. Pintar, M. Pisarska, O. Plehutsa, M. Podda, G. Poillucci, M. Quiodettis, T. Rahim, D. Ríos-Cruz, Gabriel Rodrigues, D. Rozov, B. Sakakushev, Ibrahima Sall, A. Sazhin, M. Semiao, Taanya Sharda, V. Shelat, G. Sinibaldi, Dmitrijs Skicko, M. Škrovina, D. Stamatiou, M. Stella, M. Strzałka, R. Sydorchuk, R. A. Teixeira Gonsaga, J. Tochie, G. Tomadze, L. Ugoletti, J. Ulrych, Toomas Ümarik, M. Uzunoğlu, A. Vasilescu, O. Vaz, A. Vereczkei, N. Vlad, M. Walędziak, A. Yahya, O. Yalkin, T. Yılmaz, A. E. Ünal, K. Yuan, S. Zachariah, Justas Žilinskas, M. Zizzo, Vittoria Pattonieri, G. Baiocchi, F. Catena
45 15. 7. 2019.

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

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 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 < 100 mmHg, AVPU responsiveness scale (voice and unresponsive), blood oxygen saturation level (SpO2) < 90% in air, platelet count < 50,000 cells/mm3, and lactate > 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.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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