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

Massimo Sartelli; Fikri M. Abu-Zidan; Francesco M. Labricciosa; Yoram Kluger; Federico Coccolini; Luca Ansaloni; Ari Leppäniemi; Andrew W. Kirkpatrick; Matti Tolonen; Cristian Tranà; Jean Marc Regimbeau; Timothy Hardcastle; Renol M. Koshy; Ashraf Abbas; Ulaş Aday; A. R.K. Adesunkanmi; Adesina Ajibade; Lali Akhmeteli; Emrah Akln; Nezih Akkapulu; Alhenouf Alotaibi; Fatih Altintoprak; Dimitrios Anyfantakis; Boyko Atanasov; Goran Augustin; Constança 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 Gérard; Wagih Ghnnam; Teresa Giménez 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 Simões; Andrea Lanaia; Konstantinos Lasithiotakis; Pedro Leão; Miguel León Arellano; Holger Listle; Andrey Litvin; Aintzane Lizarazu Pérez; Eudaldo Lopez-Tomassetti Fernandez; Eftychios Lostoridis; Davide Luppi; Gustavo M. Machain V; Piotr Major; Dimitrios Manatakis; Marianne Marchini Reitz; Athanasios Marinis; Daniele Marrelli; Aleix Martínez-Pérez; Sanjay Marwah; Michael McFarlane; Mirza Mesic; Cristian Mesina; Nickos Michalopoulos; Evangelos Misiakos; Felipe Gonçalves Moreira; Ouadii Mouaqit; Ali Muhtaroglu; Noel Naidoo; Ionut Negoi; Zane Nikitina; Ioannis Nikolopoulos; Gabriela Elisa Nita; Savino Occhionorelli; Iyiade Olaoye; Carlos A. Ordoñez; Zeynep Ozkan; Ajay Pal; Gian M. Palini; Kyriaki Papageorgiou; Dimitris Papagoras; Francesco Pata; Michał Pȩdziwiatr; 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 Semião; Taanya Sharda; Vishal Shelat; Giovanni Sinibaldi; Dmitrijs Skicko; Matej Skrovina; Dimitrios Stamatiou; Marco Stella; Marcin Strzałka; Ruslan Sydorchuk; Ricardo A. Teixeira Gonsaga; Joel Noutakdie Tochie; Gia Tomadze; Lara Ugoletti; Jan Ulrych; Toomas Ümarik; Mustafa Y. Uzunoglu; Alin Vasilescu; Osborne Vaz; Andras Vereczkei; Nutu Vlad; Maciej Walȩdziak; Ali I. Yahya; Omer Yalkin; Tonguç U. Yilmaz; Ali Ekrem Ünal; Kuo Ching Yuan; Sanoop K. Zachariah; Justas Žilinskas; Maurizio Zizzo; Vittoria Pattonieri; Gian Luca Baiocchi; Fausto Catena

doi:10.1186/s13017-019-0253-2

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

Massimo Sartelli, Fikri M. Abu-Zidan, Francesco M. Labricciosa, Yoram Kluger, Federico Coccolini, Luca Ansaloni, Ari Leppäniemi, Andrew W. Kirkpatrick, Matti Tolonen, Cristian Tranà, Jean Marc Regimbeau, Timothy Hardcastle, Renol M. Koshy, Ashraf Abbas, Ulaş Aday, A. R.K. Adesunkanmi, Adesina Ajibade, Lali Akhmeteli, Emrah Akln, Nezih AkkapuluAlhenouf Alotaibi, Fatih Altintoprak, Dimitrios Anyfantakis, Boyko Atanasov, Goran Augustin, Constança 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 Gérard, Wagih Ghnnam, Teresa Giménez 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 Simões, Andrea Lanaia, Konstantinos Lasithiotakis, Pedro Leão, Miguel León Arellano, Holger Listle, Andrey Litvin, Aintzane Lizarazu Pérez, Eudaldo Lopez-Tomassetti Fernandez, Eftychios Lostoridis, Davide Luppi, Gustavo M. Machain V, Piotr Major, Dimitrios Manatakis, Marianne Marchini Reitz, Athanasios Marinis, Daniele Marrelli, Aleix Martínez-Pérez, Sanjay Marwah, Michael McFarlane, Mirza Mesic, Cristian Mesina, Nickos Michalopoulos, Evangelos Misiakos, Felipe Gonçalves Moreira, Ouadii Mouaqit, Ali Muhtaroglu, Noel Naidoo, Ionut Negoi, Zane Nikitina, Ioannis Nikolopoulos, Gabriela Elisa Nita, Savino Occhionorelli, Iyiade Olaoye, Carlos A. Ordoñez, Zeynep Ozkan, Ajay Pal, Gian M. Palini, Kyriaki Papageorgiou, Dimitris Papagoras, Francesco Pata, Michał Pȩdziwiatr, 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 Semião, Taanya Sharda, Vishal Shelat, Giovanni Sinibaldi, Dmitrijs Skicko, Matej Skrovina, Dimitrios Stamatiou, Marco Stella, Marcin Strzałka, Ruslan Sydorchuk, Ricardo A. Teixeira Gonsaga, Joel Noutakdie Tochie, Gia Tomadze, Lara Ugoletti, Jan Ulrych, Toomas Ümarik, Mustafa Y. Uzunoglu, Alin Vasilescu, Osborne Vaz, Andras Vereczkei, Nutu Vlad, Maciej Walȩdziak, Ali I. Yahya, Omer Yalkin, Tonguç U. Yilmaz, Ali Ekrem Ünal, Kuo Ching Yuan, Sanoop K. Zachariah, Justas Žilinskas, Maurizio Zizzo, Vittoria Pattonieri, Gian Luca Baiocchi, Fausto Catena

Taipei Medical University Hospital

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

Background: 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. Methods: 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. Results: 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 < 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. Conclusions: 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.

Original language	English
Article number	34
Journal	World Journal of Emergency Surgery
Volume	14
Issue number	1
DOIs	https://doi.org/10.1186/s13017-019-0253-2
Publication status	Published - Jul 15 2019

Keywords

Acute peritonitis
Early warning score
Emergency surgery
Source control
Abdomen/abnormalities
Prognosis
Hospital Mortality
Humans
Middle Aged
Risk Factors
Logistic Models
Male
Chi-Square Distribution
Sepsis/diagnosis
Injury Severity Score
Adult
Female
Aged

ASJC Scopus subject areas

Surgery
Emergency Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1186/s13017-019-0253-2

Cite this

Sartelli, M., Abu-Zidan, F. M., Labricciosa, F. M., Kluger, Y., Coccolini, F., Ansaloni, L., Leppäniemi, A., Kirkpatrick, A. W., Tolonen, M., Tranà, C., Regimbeau, J. M., Hardcastle, T., Koshy, R. M., Abbas, A., Aday, U., Adesunkanmi, A. R. K., Ajibade, A., Akhmeteli, L., Akln, E., ... Catena, F. (2019). Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: A WSES observational study. World Journal of Emergency Surgery, 14(1), [34]. https://doi.org/10.1186/s13017-019-0253-2

Sartelli, M, Abu-Zidan, FM, Labricciosa, FM, Kluger, Y, Coccolini, F, Ansaloni, L, Leppäniemi, A, Kirkpatrick, AW, Tolonen, M, Tranà, C, Regimbeau, JM, Hardcastle, T, Koshy, RM, Abbas, A, Aday, U, Adesunkanmi, ARK, Ajibade, A, Akhmeteli, L, Akln, E, Akkapulu, N, Alotaibi, A, Altintoprak, F, Anyfantakis, D, Atanasov, B, Augustin, G, Azevedo, C, Bala, M, Balalis, D, Baraket, O, Baral, S, Barkai, O, Beltran, M, Bini, R, Bouliaris, K, Caballero, AB, Calu, V, Catani, M, Ceresoli, M, Charalampakis, V, Jusoh, AC, Chiarugi, M, Cillara, N, Cuesta, RC, Cobuccio, L, Cocorullo, G, Colak, E, Conti, L, Cui, Y, De Simone, B, Delibegovic, S, Demetrashvili, Z, Demetriades, D, Dimova, A, Dogjani, A, Enani, M, Farina, F, Ferrara, F, Foghetti, D, Fontana, T, Fraga, GP, Gachabayov, M, Gérard, G, Ghnnam, W, Maurel, TG, Gkiokas, G, Gomes, CA, Guner, A, Gupta, S, Hecker, A, Hirano, ES, Hodonou, A, Hutan, M, Ilaschuk, I, Ioannidis, O, Isik, A, Ivakhov, G, Jain, S, Jokubauskas, M, Karamarkovic, A, Kaushik, R, Kenig, J, Khokha, V, Khokha, D, Kim, JI, Kong, V, Korkolis, D, Kruger, VF, Kshirsagar, A, Simões, RL, Lanaia, A, Lasithiotakis, K, Leão, P, Arellano, ML, Listle, H, Litvin, A, Lizarazu Pérez, A, Lopez-Tomassetti Fernandez, E, Lostoridis, E, Luppi, D, Machain V, GM, Major, P, Manatakis, D, Reitz, MM, Marinis, A, Marrelli, D, Martínez-Pérez, A, Marwah, S, McFarlane, M, Mesic, M, Mesina, C, Michalopoulos, N, Misiakos, E, Moreira, FG, Mouaqit, O, Muhtaroglu, A, Naidoo, N, Negoi, I, Nikitina, Z, Nikolopoulos, I, Nita, GE, Occhionorelli, S, Olaoye, I, Ordoñez, CA, Ozkan, Z, Pal, A, Palini, GM, Papageorgiou, K, Papagoras, D, Pata, F, Pȩdziwiatr, M, Pereira, J, Pereira Junior, GA, Perrone, G, Pintar, T, Pisarska, M, Plehutsa, O, Podda, M, Poillucci, G, Quiodettis, M, Rahim, T, Rios-Cruz, D, Rodrigues, G, Rozov, D, Sakakushev, B, Sall, I, Sazhin, A, Semião, M, Sharda, T, Shelat, V, Sinibaldi, G, Skicko, D, Skrovina, M, Stamatiou, D, Stella, M, Strzałka, M, Sydorchuk, R, Teixeira Gonsaga, RA, Tochie, JN, Tomadze, G, Ugoletti, L, Ulrych, J, Ümarik, T, Uzunoglu, MY, Vasilescu, A, Vaz, O, Vereczkei, A, Vlad, N, Walȩdziak, M, Yahya, AI, Yalkin, O, Yilmaz, TU, Ünal, AE, Yuan, KC, Zachariah, SK, Žilinskas, J, Zizzo, M, Pattonieri, V, Baiocchi, GL & Catena, F 2019, 'Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: A WSES observational study', World Journal of Emergency Surgery, vol. 14, no. 1, 34. https://doi.org/10.1186/s13017-019-0253-2

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title = "Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: A WSES observational study",

abstract = "Background: 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. Methods: 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. Results: 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 < 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. Conclusions: 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.",

keywords = "Acute peritonitis, Early warning score, Emergency surgery, Source control, Abdomen/abnormalities, Prognosis, Hospital Mortality, Humans, Middle Aged, Risk Factors, Logistic Models, Male, Chi-Square Distribution, Sepsis/diagnosis, Injury Severity Score, Adult, Female, Aged",

author = "Massimo Sartelli and Abu-Zidan, {Fikri M.} and Labricciosa, {Francesco M.} and Yoram Kluger and Federico Coccolini and Luca Ansaloni and Ari Lepp{\"a}niemi and Kirkpatrick, {Andrew W.} and Matti Tolonen and Cristian Tran{\`a} and Regimbeau, {Jean Marc} and Timothy Hardcastle and Koshy, {Renol M.} and Ashraf Abbas and Ula{\c s} Aday and Adesunkanmi, {A. R.K.} and Adesina Ajibade and Lali Akhmeteli and Emrah Akln and Nezih Akkapulu and Alhenouf Alotaibi and Fatih Altintoprak and Dimitrios Anyfantakis and Boyko Atanasov and Goran Augustin and Constan{\c c}a Azevedo and Miklosh Bala and Dimitrios Balalis and Oussama Baraket and Suman Baral and Or Barkai and Marcelo Beltran and Roberto Bini and Konstantinos Bouliaris and Caballero, {Ana B.} and Valentin Calu and Marco Catani and Marco Ceresoli and Vasileios Charalampakis and Jusoh, {Asri Che} and Massimo Chiarugi and Nicola Cillara and Cuesta, {Raquel Cobos} and Luigi Cobuccio and Gianfranco Cocorullo and Elif Colak and Luigi Conti and Yunfeng Cui and {De Simone}, Belinda and Samir Delibegovic and Zaza Demetrashvili and Demetrios Demetriades and Ana Dimova and Agron Dogjani and Mushira Enani and Federica Farina and Francesco Ferrara and Domitilla Foghetti and Tommaso Fontana and Fraga, {Gustavo P.} and Mahir Gachabayov and Grelpois G{\'e}rard and Wagih Ghnnam and Maurel, {Teresa Gim{\'e}nez} and Georgios Gkiokas and Gomes, {Carlos A.} and Ali Guner and Sanjay Gupta and Andreas Hecker and Hirano, {Elcio S.} and Adrien Hodonou and Martin Hutan and Igor Ilaschuk and Orestis Ioannidis and Arda Isik and Georgy Ivakhov and Sumita Jain and Mantas Jokubauskas and Aleksandar Karamarkovic and Robin Kaushik and Jakub Kenig and Vladimir Khokha and Denis Khokha and Kim, {Jae Il} and Victor Kong and Dimitris Korkolis and Kruger, {Vitor F.} and Ashok Kshirsagar and Sim{\~o}es, {Romeo Lages} and Andrea Lanaia and Konstantinos Lasithiotakis and Pedro Le{\~a}o and Arellano, {Miguel Le{\'o}n} and Holger Listle and Andrey Litvin and {Lizarazu P{\'e}rez}, Aintzane and {Lopez-Tomassetti Fernandez}, Eudaldo and Eftychios Lostoridis and Davide Luppi and {Machain V}, {Gustavo M.} and Piotr Major and Dimitrios Manatakis and Reitz, {Marianne Marchini} and Athanasios Marinis and Daniele Marrelli and Aleix Mart{\'i}nez-P{\'e}rez and Sanjay Marwah and Michael McFarlane and Mirza Mesic and Cristian Mesina and Nickos Michalopoulos and Evangelos Misiakos and Moreira, {Felipe Gon{\c c}alves} and Ouadii Mouaqit and Ali Muhtaroglu and Noel Naidoo and Ionut Negoi and Zane Nikitina and Ioannis Nikolopoulos and Nita, {Gabriela Elisa} and Savino Occhionorelli and Iyiade Olaoye and Ordo{\~n}ez, {Carlos A.} and Zeynep Ozkan and Ajay Pal and Palini, {Gian M.} and Kyriaki Papageorgiou and Dimitris Papagoras and Francesco Pata and Micha{\l} Pȩdziwiatr and Jorge Pereira and {Pereira Junior}, {Gerson A.} and Gennaro Perrone and Tadeja Pintar and Magdalena Pisarska and Oleksandr Plehutsa and Mauro Podda and Gaetano Poillucci and Martha Quiodettis and Tuba Rahim and Daniel Rios-Cruz and Gabriel Rodrigues and Dmytry Rozov and Boris Sakakushev and Ibrahima Sall and Alexander Sazhin and Miguel Semi{\~a}o and Taanya Sharda and Vishal Shelat and Giovanni Sinibaldi and Dmitrijs Skicko and Matej Skrovina and Dimitrios Stamatiou and Marco Stella and Marcin Strza{\l}ka and Ruslan Sydorchuk and {Teixeira Gonsaga}, {Ricardo A.} and Tochie, {Joel Noutakdie} and Gia Tomadze and Lara Ugoletti and Jan Ulrych and Toomas {\"U}marik and Uzunoglu, {Mustafa Y.} and Alin Vasilescu and Osborne Vaz and Andras Vereczkei and Nutu Vlad and Maciej Walȩdziak and Yahya, {Ali I.} and Omer Yalkin and Yilmaz, {Tongu{\c c} U.} and {\"U}nal, {Ali Ekrem} and Yuan, {Kuo Ching} and Zachariah, {Sanoop K.} and Justas {\v Z}ilinskas and Maurizio Zizzo and Vittoria Pattonieri and Baiocchi, {Gian Luca} and Fausto Catena",

note = "Publisher Copyright: {\textcopyright} 2019 The Author(s).",

year = "2019",

month = jul,

day = "15",

doi = "10.1186/s13017-019-0253-2",

language = "English",

volume = "14",

journal = "World Journal of Emergency Surgery",

issn = "1749-7922",

publisher = "BioMed Central",

number = "1",

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TY - JOUR

T1 - Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study

T2 - A WSES observational study

AU - Sartelli, Massimo

AU - Abu-Zidan, Fikri M.

AU - Labricciosa, Francesco M.

AU - Kluger, Yoram

AU - Coccolini, Federico

AU - Ansaloni, Luca

AU - Leppäniemi, Ari

AU - Kirkpatrick, Andrew W.

AU - Tolonen, Matti

AU - Tranà, Cristian

AU - Regimbeau, Jean Marc

AU - Hardcastle, Timothy

AU - Koshy, Renol M.

AU - Abbas, Ashraf

AU - Aday, Ulaş

AU - Adesunkanmi, A. R.K.

AU - Ajibade, Adesina

AU - Akhmeteli, Lali

AU - Akln, Emrah

AU - Akkapulu, Nezih

AU - Alotaibi, Alhenouf

AU - Altintoprak, Fatih

AU - Anyfantakis, Dimitrios

AU - Atanasov, Boyko

AU - Augustin, Goran

AU - Azevedo, Constança

AU - Bala, Miklosh

AU - Balalis, Dimitrios

AU - Baraket, Oussama

AU - Baral, Suman

AU - Barkai, Or

AU - Beltran, Marcelo

AU - Bini, Roberto

AU - Bouliaris, Konstantinos

AU - Caballero, Ana B.

AU - Calu, Valentin

AU - Catani, Marco

AU - Ceresoli, Marco

AU - Charalampakis, Vasileios

AU - Jusoh, Asri Che

AU - Chiarugi, Massimo

AU - Cillara, Nicola

AU - Cuesta, Raquel Cobos

AU - Cobuccio, Luigi

AU - Cocorullo, Gianfranco

AU - Colak, Elif

AU - Conti, Luigi

AU - Cui, Yunfeng

AU - De Simone, Belinda

AU - Delibegovic, Samir

AU - Demetrashvili, Zaza

AU - Demetriades, Demetrios

AU - Dimova, Ana

AU - Dogjani, Agron

AU - Enani, Mushira

AU - Farina, Federica

AU - Ferrara, Francesco

AU - Foghetti, Domitilla

AU - Fontana, Tommaso

AU - Fraga, Gustavo P.

AU - Gachabayov, Mahir

AU - Gérard, Grelpois

AU - Ghnnam, Wagih

AU - Maurel, Teresa Giménez

AU - Gkiokas, Georgios

AU - Gomes, Carlos A.

AU - Guner, Ali

AU - Gupta, Sanjay

AU - Hecker, Andreas

AU - Hirano, Elcio S.

AU - Hodonou, Adrien

AU - Hutan, Martin

AU - Ilaschuk, Igor

AU - Ioannidis, Orestis

AU - Isik, Arda

AU - Ivakhov, Georgy

AU - Jain, Sumita

AU - Jokubauskas, Mantas

AU - Karamarkovic, Aleksandar

AU - Kaushik, Robin

AU - Kenig, Jakub

AU - Khokha, Vladimir

AU - Khokha, Denis

AU - Kim, Jae Il

AU - Kong, Victor

AU - Korkolis, Dimitris

AU - Kruger, Vitor F.

AU - Kshirsagar, Ashok

AU - Simões, Romeo Lages

AU - Lanaia, Andrea

AU - Lasithiotakis, Konstantinos

AU - Leão, Pedro

AU - Arellano, Miguel León

AU - Listle, Holger

AU - Litvin, Andrey

AU - Lizarazu Pérez, Aintzane

AU - Lopez-Tomassetti Fernandez, Eudaldo

AU - Lostoridis, Eftychios

AU - Luppi, Davide

AU - Machain V, Gustavo M.

AU - Major, Piotr

AU - Manatakis, Dimitrios

AU - Reitz, Marianne Marchini

AU - Marinis, Athanasios

AU - Marrelli, Daniele

AU - Martínez-Pérez, Aleix

AU - Marwah, Sanjay

AU - McFarlane, Michael

AU - Mesic, Mirza

AU - Mesina, Cristian

AU - Michalopoulos, Nickos

AU - Misiakos, Evangelos

AU - Moreira, Felipe Gonçalves

AU - Mouaqit, Ouadii

AU - Muhtaroglu, Ali

AU - Naidoo, Noel

AU - Negoi, Ionut

AU - Nikitina, Zane

AU - Nikolopoulos, Ioannis

AU - Nita, Gabriela Elisa

AU - Occhionorelli, Savino

AU - Olaoye, Iyiade

AU - Ordoñez, Carlos A.

AU - Ozkan, Zeynep

AU - Pal, Ajay

AU - Palini, Gian M.

AU - Papageorgiou, Kyriaki

AU - Papagoras, Dimitris

AU - Pata, Francesco

AU - Pȩdziwiatr, Michał

AU - Pereira, Jorge

AU - Pereira Junior, Gerson A.

AU - Perrone, Gennaro

AU - Pintar, Tadeja

AU - Pisarska, Magdalena

AU - Plehutsa, Oleksandr

AU - Podda, Mauro

AU - Poillucci, Gaetano

AU - Quiodettis, Martha

AU - Rahim, Tuba

AU - Rios-Cruz, Daniel

AU - Rodrigues, Gabriel

AU - Rozov, Dmytry

AU - Sakakushev, Boris

AU - Sall, Ibrahima

AU - Sazhin, Alexander

AU - Semião, Miguel

AU - Sharda, Taanya

AU - Shelat, Vishal

AU - Sinibaldi, Giovanni

AU - Skicko, Dmitrijs

AU - Skrovina, Matej

AU - Stamatiou, Dimitrios

AU - Stella, Marco

AU - Strzałka, Marcin

AU - Sydorchuk, Ruslan

AU - Teixeira Gonsaga, Ricardo A.

AU - Tochie, Joel Noutakdie

AU - Tomadze, Gia

AU - Ugoletti, Lara

AU - Ulrych, Jan

AU - Ümarik, Toomas

AU - Uzunoglu, Mustafa Y.

AU - Vasilescu, Alin

AU - Vaz, Osborne

AU - Vereczkei, Andras

AU - Vlad, Nutu

AU - Walȩdziak, Maciej

AU - Yahya, Ali I.

AU - Yalkin, Omer

AU - Yilmaz, Tonguç U.

AU - Ünal, Ali Ekrem

AU - Yuan, Kuo Ching

AU - Zachariah, Sanoop K.

AU - Žilinskas, Justas

AU - Zizzo, Maurizio

AU - Pattonieri, Vittoria

AU - Baiocchi, Gian Luca

AU - Catena, Fausto

PY - 2019/7/15

Y1 - 2019/7/15

N2 - Background: 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. Methods: 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. Results: 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 < 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. Conclusions: 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.

AB - Background: 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. Methods: 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. Results: 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 < 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. Conclusions: 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.

KW - Acute peritonitis

KW - Early warning score

KW - Emergency surgery

KW - Source control

KW - Abdomen/abnormalities

KW - Prognosis

KW - Hospital Mortality

KW - Humans

KW - Middle Aged

KW - Risk Factors

KW - Logistic Models

KW - Male

KW - Chi-Square Distribution

KW - Sepsis/diagnosis

KW - Injury Severity Score

KW - Adult

KW - Female

KW - Aged

UR - http://www.scopus.com/inward/record.url?scp=85069147924&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85069147924&partnerID=8YFLogxK

U2 - 10.1186/s13017-019-0253-2

DO - 10.1186/s13017-019-0253-2

M3 - Article

C2 - 31341511

AN - SCOPUS:85069147924

SN - 1749-7922

VL - 14

JO - World Journal of Emergency Surgery

JF - World Journal of Emergency Surgery

IS - 1

M1 - 34

ER -

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

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