Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/67380

TítuloPhysiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: a WSES observational study
Autor(es)Sartelli, Massimo
Abu-Zidan, Fikri M.
Labricciosa, Francesco M.
Kluger, Yoram
Coccolini, Federico
Ansaloni, Luca
Leppäniemi, Ari
Kirkpatrick, Andrew W.
Tolonen, Matti
Tranà, Cristian
Regimbeau, Jean-Marc
Hardcastle, Timothy
Koshy, Renol M.
Abbas, Ashraf
Aday, Ulaş
Adesunkanmi, A. R. K.
Ajibade, Adesina
Akhmeteli, Lali
Akın, Emrah
Akkapulu, Nezih
Alotaibi, Alhenouf
Altintoprak, Fatih
Anyfantakis, Dimitrios
Atanasov, Boyko
Augustin, Goran
Azevedo, Constança
Bala, Miklosh
Balalis, Dimitrios
Baraket, Oussama
Baral, Suman
Barkai, Or
Beltran, Marcelo
Bini, Roberto
Bouliaris, Konstantinos
Caballero, Ana B.
Calu, Valentin
Catani, Marco
Ceresoli, Marco
Charalampakis, Vasileios
Jusoh, Asri Che
Chiarugi, Massimo
Cillara, Nicola
Cuesta, Raquel Cobos
Cobuccio, Luigi
Cocorullo, Gianfranco
Colak, Elif
Conti, Luigi
Cui, Yunfeng
De Simone, Belinda
Delibegovic, Samir
Demetrashvili, Zaza
Demetriades, Demetrios
Dimova, Ana
Dogjani, Agron
Enani, Mushira
Farina, Federica
Ferrara, Francesco
Foghetti, Domitilla
Fontana, Tommaso
Fraga, Gustavo P.
Gachabayov, Mahir
Gérard, Grelpois
Ghnnam, Wagih
Maurel, Teresa Giménez
Gkiokas, Georgios
Gomes, Carlos A.
Guner, Ali
Gupta, Sanjay
Hecker, Andreas
Hirano, Elcio S.
Hodonou, Adrien
Hutan, Martin
Ilaschuk, Igor
Ioannidis, Orestis
Isik, Arda
Ivakhov, Georgy
Jain, Sumita
Jokubauskas, Mantas
Karamarkovic, Aleksandar
Kaushik, Robin
Kenig, Jakub
Khokha, Vladimir
Khokha, Denis
Kim, Jae Il
Kong, Victor
Korkolis, Dimitris
Kruger, Vitor F.
Kshirsagar, Ashok
Simões, Romeo Lages
Lanaia, Andrea
Lasithiotakis, Konstantinos
Teixeira, Pedro Alexandre Leão Araújo Gonçalves
Arellano, Miguel León
Listle, Holger
Litvin, Andrey
Lizarazu Pérez, Aintzane
Lopez-Tomassetti Fernandez, Eudaldo
Lostoridis, Eftychios
Luppi, Davide
Machain V, Gustavo M.
Major, Piotr
Manatakis, Dimitrios
Reitz, Marianne Marchini
Marinis, Athanasios
Marrelli, Daniele
Martínez-Pérez, Aleix
Marwah, Sanjay
McFarlane, Michael
Mesic, Mirza
Mesina, Cristian
Michalopoulos, Nickos
Misiakos, Evangelos
Moreira, Felipe Gonçalves
Mouaqit, Ouadii
Muhtaroglu, Ali
Naidoo, Noel
Negoi, Ionut
Nikitina, Zane
Nikolopoulos, Ioannis
Nita, Gabriela-Elisa
Occhionorelli, Savino
Olaoye, Iyiade
Ordoñez, Carlos A.
Ozkan, Zeynep
Pal, Ajay
Palini, Gian M.
Papageorgiou, Kyriaki
Papagoras, Dimitris
Pata, Francesco
Pędziwiatr, Michał
Pereira, Jorge
Pereira Junior, Gerson A.
Perrone, Gennaro
Pintar, Tadeja
Pisarska, Magdalena
Plehutsa, Oleksandr
Podda, Mauro
Poillucci, Gaetano
Quiodettis, Martha
Rahim, Tuba
Rios-Cruz, Daniel
Rodrigues, Gabriel
Rozov, Dmytry
Sakakushev, Boris
Sall, Ibrahima
Sazhin, Alexander
Semião, Miguel
Sharda, Taanya
Shelat, Vishal
Sinibaldi, Giovanni
Skicko, Dmitrijs
Skrovina, Matej
Stamatiou, Dimitrios
Stella, Marco
Strzałka, Marcin
Sydorchuk, Ruslan
Teixeira Gonsaga, Ricardo A.
Tochie, Joel Noutakdie
Tomadze, Gia
Ugoletti, Lara
Ulrych, Jan
Ümarik, Toomas
Uzunoglu, Mustafa Y.
Vasilescu, Alin
Vaz, Osborne
Vereczkei, Andras
Vlad, Nutu
Walędziak, Maciej
Yahya, Ali I.
Yalkin, Omer
Yilmaz, Tonguç U.
Ünal, Ali Ekrem
Yuan, Kuo-Ching
Zachariah, Sanoop K.
Žilinskas, Justas
Zizzo, Maurizio
Pattonieri, Vittoria
Baiocchi, Gian Luca
Catena, Fausto
Palavras-chaveAbdomen
Adult
Aged
Chi-Square Distribution
Female
Hospital Mortality
Humans
Injury Severity Score
Logistic Models
Male
Middle Aged
Risk Factors
Sepsis
Prognosis
Acute peritonitis
Source control
Early warning score
Emergency surgery
DataJul-2019
EditoraBioMed Central (BMC)
RevistaWorld Journal of Emergency Surgery
CitaçãoSartelli, M.,et. al. (2019). Physiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: a WSES observational study. World journal of emergency surgery, 14(1), 34
Resumo(s)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. 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.
TipoArtigo
URIhttps://hdl.handle.net/1822/67380
DOI10.1186/s13017-019-0253-2
ISSN1749-7922
e-ISSN1749-7922
Versão da editorahttps://wjes.biomedcentral.com/articles/10.1186/s13017-019-0253-2
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:ICVS - Artigos em revistas internacionais / Papers in international journals

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