Sartelli, MassimoAbu-Zidan, Fikri MLabricciosa, Francesco MKluger, YoramCoccolini, FedericoAnsaloni, LucaLeppäniemi, AriKirkpatrick, Andrew WTolonen, MattiTranà, CristianRegimbeau, Jean-MarcHardcastle, TimothyKoshy, Renol MAbbas, AshrafAday, UlaşAdesunkanmi, A R KAjibade, AdesinaAkhmeteli, LaliAkın, EmrahAkkapulu, NezihAlotaibi, AlhenoufAltintoprak, FatihAnyfantakis, DimitriosAtanasov, BoykoAugustin, GoranAzevedo, ConstançaBala, MikloshBalalis, DimitriosBaraket, OussamaBaral, SumanBarkai, OrBeltran, MarceloBini, RobertoBouliaris, KonstantinosCaballero, Ana BCalu, ValentinCatani, MarcoCeresoli, MarcoCharalampakis, VasileiosJusoh, Asri CheChiarugi, MassimoCillara, NicolaCuesta, Raquel CobosCobuccio, LuigiCocorullo, GianfrancoColak, ElifConti, LuigiCui, YunfengDe Simone, BelindaDelibegovic, SamirDemetrashvili, ZazaDemetriades, DemetriosDimova, AnaDogjani, AgronEnani, MushiraFarina, FedericaFerrara, FrancescoFoghetti, DomitillaFontana, TommasoFraga, Gustavo PGachabayov, MahirGérard, GrelpoisGhnnam, WagihMaurel, Teresa GiménezGkiokas, GeorgiosGomes, Carlos AGuner, AliGupta, SanjayHecker, AndreasHirano, Elcio SHodonou, AdrienHutan, MartinIlaschuk, IgorIoannidis, OrestisIsik, ArdaIvakhov, GeorgyJain, SumitaJokubauskas, MantasKaramarkovic, AleksandarKaushik, RobinKenig, JakubKhokha, VladimirKhokha, DenisKim, Jae IlKong, VictorKorkolis, DimitrisKruger, Vitor FKshirsagar, AshokSimões, Romeo LagesLanaia, AndreaLasithiotakis, KonstantinosLeão, PedroArellano, Miguel LeónListle, HolgerLitvin, AndreyLizarazu Pérez, AintzaneLopez-Tomassetti Fernandez, EudaldoLostoridis, EftychiosLuppi, DavideMachain V, Gustavo MMajor, PiotrManatakis, DimitriosReitz, Marianne MarchiniMarinis, AthanasiosMarrelli, DanieleMartínez-Pérez, AleixMarwah, SanjayMcFarlane, MichaelMesic, MirzaMesina, CristianMichalopoulos, NickosMisiakos, EvangelosMoreira, Felipe GonçalvesMouaqit, OuadiiMuhtaroglu, AliNaidoo, NoelNegoi, IonutNikitina, ZaneNikolopoulos, IoannisNita, Gabriela-ElisaOcchionorelli, SavinoOlaoye, IyiadeOrdoñez, Carlos AOzkan, ZeynepPal, AjayPalini, Gian MPapageorgiou, KyriakiPapagoras, DimitrisPata, FrancescoPędziwiatr, MichałPereira, JorgePereira Junior, Gerson APerrone, GennaroPintar, TadejaPisarska, MagdalenaPlehutsa, OleksandrPodda, MauroPoillucci, GaetanoQuiodettis, MarthaRahim, TubaRios-Cruz, DanielRodrigues, GabrielRozov, DmytrySakakushev, BorisSall, IbrahimaSazhin, AlexanderSemião, MiguelSharda, TaanyaShelat, VishalSinibaldi, GiovanniSkicko, DmitrijsSkrovina, MatejStamatiou, DimitriosStella, MarcoStrzałka, MarcinSydorchuk, RuslanTeixeira Gonsaga, Ricardo ATochie, Joel NoutakdieTomadze, GiaUgoletti, LaraUlrych, JanÜmarik, ToomasUzunoglu, Mustafa YVasilescu, AlinVaz, OsborneVereczkei, AndrasVlad, NutuWalędziak, MaciejYahya, Ali IYalkin, OmerYilmaz, Tonguç UÜnal, Ali EkremYuan, Kuo-ChingZachariah, Sanoop KŽilinskas, JustasZizzo, MaurizioPattonieri, VittoriaBaiocchi, Gian LucaCatena, Fausto2023-01-252023-01-252019-07-15http://hdl.handle.net/10668/14302Timing 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.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Acute peritonitisEarly warning scoreEmergency surgerySource controlAbdomenAdultAgedChi-Square DistributionFemaleHospital MortalityHumansInjury Severity ScoreLogistic ModelsMaleMiddle AgedPrognosisRisk FactorsSepsisPhysiological parameters for Prognosis in Abdominal Sepsis (PIPAS) Study: a WSES observational study.research article31341511open access10.1186/s13017-019-0253-21749-7922PMC6631509https://doi.org/10.1186/s13017-019-0253-2https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631509/pdf