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Archivio istituzionale della ricerca dell'Università degli Studi di Palermo
Purpose: To describe the epidemiology of intra-abdominal infection in an international cohort of ICU patients according to a new system that classifies cases according to setting of infection acquisition (community-acquired, early onset hospital-acquired, and late-onset hospital-acquired), anatomical disruption (absent or present with localized or diffuse peritonitis), and severity of disease expression (infection, sepsis, and septic shock). Methods: We performed a multicenter (n = 309), observational, epidemiological study including adult ICU patients diagnosed with intra-abdominal infection. Risk factors for mortality were assessed by logistic regression analysis. Results: The cohort included 2621 patients. Setting of infection acquisition was community-acquired in 31.6%, early onset hospital-acquired in 25%, and late-onset hospital-acquired in 43.4% of patients. Overall prevalence of antimicrobial resistance was 26.3% and difficult-to-treat resistant Gram-negative bacteria 4.3%, with great variation according to geographic region. No difference in prevalence of antimicrobial resistance was observed according to setting of infection acquisition. Overall mortality was 29.1%. Independent risk factors for mortality included late-onset hospital-acquired infection, diffuse peritonitis, sepsis, septic shock, older age, malnutrition, liver failure, congestive heart failure, antimicrobial resistance (either methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, extended-spectrum beta-lactamase-producing Gram-negative bacteria, or carbapenem-resistant Gram-negative bacteria) and source control failure evidenced by either the need for surgical revision or persistent inflammation. Conclusion: This multinational, heterogeneous cohort of ICU patients with intra-abdominal infection revealed that setting of infection acquisition, anatomical disruption, and severity of disease expression are disease-specific phenotypic characteristics associated with outcome, irrespective of the type of infection. Antimicrobial resistance is equally common in community-acquired as in hospital-acquired infection.
Blot S., Antonelli M., Arvaniti K., Blot K., Creagh-Brown B., de Lange D., et al. (2019). Epidemiology of intra-abdominal infection and sepsis in critically ill patients: “AbSeS”, a multinational observational cohort study and ESICM Trials Group Project. INTENSIVE CARE MEDICINE, 45(12), 1703-1717 [10.1007/s00134-019-05819-3].
Epidemiology of intra-abdominal infection and sepsis in critically ill patients: “AbSeS”, a multinational observational cohort study and ESICM Trials Group Project
Blot S.
;Antonelli M.;Arvaniti K.;Blot K.;Creagh-Brown B.;de Lange D.;De Waele J.;Deschepper M.;Dikmen Y.;Dimopoulos G.;Eckmann C.;Francois G.;Girardis M.;Koulenti D.;Labeau S.;Lipman J.;Lipovestky F.;Maseda E.;Montravers P.;Mikstacki A.;Paiva J. -A.;Pereyra C.;Rello J.;Timsit J. -F.;Vogelaers D.;Lamrous A.;Rezende-Neto J.;Cardenas Y.;Vymazal T.;Fjeldsoee-Nielsen H.;Kott M.;Kostoula A.;Javeri Y.;Einav S.;Makikado L. D. U.;Tomescu D.;Gritsan A.;Jovanovic B.;Venkatesan K.;Mirkovic T.;Creagh-Brown B.;Lamrous A.;Emmerich M.;Canale M.;Dietz L. S.;Ilutovich S.;Minope J. T. S.;Silva R. B.;Montenegro M. A.;Martin P.;Saul P.;Chediack V.;Sutton G.;Couce R.;Balasini C.;Gonzalez S.;Lascar F. M.;Descotte E. J.;Gumiela N. S.;Pino C. A.;Cesio C.;Valgolio E.;Cunto E.;Dominguez C.;Nelson N. F.;Abegao E. M.;Pozo N. C.;Bianchi L.;Correger E.;Pastorino M. L.;Miyazaki E. A.;Pozo N. C.;Grubissich N.;Garcia M.;Bonetto N.;Quevedo N. E.;Gomez C. D.;Queti F.;Estevarena L. G.;Fernandez R.;Santolaya I.;Pozo N. C.;Grangeat S. H.;Doglia J.;Zakalik G.;Pellegrini C.;Lloria M. M.;Chacon M. E.;Fumale M.;Leguizamon M.;Hidalgo I. B.;Tiranti R. J.;Capponi P.;Tita A.;Cardonnet L.;Bettini L.;Ramos A.;Lovesio L.;Miranda E. M.;Farfan A. B.;Tolosa C.;Segura L.;Bellocchio A.;Alvarez B.;Manzur A.;Lujan R.;Fernandez N.;Scarone N.;Zazu A.;Groh C.;Fletcher J.;Smith J.;Azad R.;Chavan N.;Wong H.;Kol M.;Campbell L.;Starr T.;Roberts B.;Wibrow B.;Warhurst T.;Chinthamuneedi M.;Ferney B. B.;Simon M.;De Backer D.;Wittebole X.;De Bels D.;Collin V.;Dams K.;Jorens P.;Dubois J.;Gunst J.;Haentjens L.;De Schryver N.;Dugernier T.;Rezende-Neto J.;Rizoli S.;Santillan P.;Han Y.;Biskup E.;Qu C.;Li X.;Yu T.;Weihua L.;Molano-Franco D.;Rojas J.;Oviedo J. M. P.;Pinilla D.;Cardenas Y.;Celis E.;Arias M.;Vukovic A.;Vudrag M.;Belavic M.;Zunic J.;Kuharic J.;Kricka I. B.;Filipovic-Grcic I.;Tomasevic B.;Obraz M.;Bodulica B.;Dohnal M.;Malaska J.;Kratochvil M.;Satinsky I.;Schwarz P.;Kos Z.;Blahut L.;Maca J.;Protus M.;Kieslichova E.;Nielsen L. G.;Krogh B. M.;Rivadeneira F.;Morales F.;Mora J.;Orozco A. S.;MorochoTutillo D. R.;Vargas N. R.;Yepez E. S.;Villamagua B.;Alsisi A.;Fahmy A.;Dupont H.;Lasocki S.;Paugam-Burtz C.;Foucrier A.;Nica A.;Barjon G.;Mallat J.;Marcotte G.;Leone M.;Duclos G.;Burtin P.;Atchade E.;Mahjoub Y.;Misset B.;Timsit J. -F.;Dupuis C.;Veber B.;Debarre M.;Collange O.;Pottecher J.;Hecketsweiler S.;Fromentin M.;Tesniere A.;Koch C.;Sander M.;Kott M.;Elke G.;Wrigge H.;Simon P.;Chalkiadaki A.;Tzanidakis C.;Pneumatikos I.;Sertaridou E.;Mastora Z.;Pantazopoulos I.;Papanikolaou M.;Papavasilopoulou T.;Floros J.;Kolonia V.;Diakaki C.;Rallis M.;Paridou A.;Kalogeromitros A.;Romanou V.;Nikolaou C.;Kounougeri K.;Tsigou E.;Psallida V.;Karampela N.;Mandragos K.;Kontoudaki E.;Pentheroudaki A.;Farazi-Chongouki C.;Karakosta A.;Chouris I.;Radu V.;Malliotakis P.;Kokkini S.;Charalambous E.;Kyritsi A.;Koulouras V.;Papathanakos G.;Nagky E.;Lampiri C.;Tsimpoukas F.;Sarakatsanos I.;Georgakopoulos P.;Ravani I.;Prekates A.;Sakellaridis K.;Christopoulos C.;Vrettou E.;Stokkos K.;Pentari A.;Marmanidou K.;Kydona C.;Tsoumaropoulos G.;Bitzani M.;Kontou P.;Voudouris A.;Elli-Nikki Flioni;Antypa E.;Chasou E.;Anisoglou S.;Papageorgiou E.;Paraforou T.;Tsioka A.;Karathanou A.;Vakalos A.;Shah B.;Thakkar C.;Jain N.;Gurjar M.;Baronia A.;Sathe P.;Kulkarni S.;Paul C.;Paul J.;Masjedi M.;Nikandish R.;Zand F.;Sabetian G.;Mahmoodpoor A.;Hashemian S. M.;Bala M.;Flocco R.;Torrente S.;Pota V.;Spadaro S.;Volta C.;Serafini G.;Boraso S.;Tiberio I.;Cortegiani A.;Misseri G.;Barbagallo M.;Nicolotti D.;Forfori F.;Corradi F.;De Pascale G.;Pelagalli L.;Brazzi L.;Vittone F. G.;Russo A.;Simion D.;Cotoia A.;Cinnella G.;Toppin P.;Johnson-Jackson R.;Hayashi Y.;Yamamoto R.;Yasuda H.;Kishihara Y.;Shiotsuka J.;Sanchez-Hurtado L. A.;Tejeda-Huezo B.;Gorordo L.;Namendys-Silva S. A.;Garcia-Guillen F. J.;Martinez M.;Romero-Meja E.;Colorado-Dominguez E.;van den Oever H.;Kalff K. M.;Vermeijden W.;Cornet A. D.;Beck O.;Cimic N.;Dormans T.;Bormans L.;Bakker J.;Van Duijn D.;Bosman G.;Vos P.;Haas L.;Henein A.;Miranda A. M.;Makikado L. D. U.;Malca G. E. G.;Arroyo-Sanchez A.;Misiewska-Kaczur A.;Akinyi F.;Czuczwar M.;Luczak K.;Sulkowski W.;Tamowicz B.;Swit B.;Baranowski B.;Smuszkiewicz P.;Trojanowska I.;Rzymski S.;Sawinski M.;Trosiak M.;Mikaszewska-Sokolewicz M.;Alves R.;Leal D.;Krystopchuk A.;Mendonca P. M. H.;Pereira R. A.;de Carvalho M. R. L. M.;Candeias C.;Molinos E.;Ferreira A.;Castro G.;Pereira J. -M.;Santos L.;Ferreira A.;Pascoalinho D.;Ribeiro R.;Domingos G.;Gomes P.;Nora D.;Costa R. P.;Santos A.;Alsheikhly A. S.;Tomescu D.;Popescu M.;Grigoras I.;Patrascanu E.;Zabolotskikh I.;Musaeva T.;Gritsan A.;Gaigolnik D.;Kulabukhov V.;Belskiy V.;Zubareva N.;Tribulev M.;Abdelsalam A.;Aldarsani A.;Al-Khalid M.;Almekhlafi G.;Mandourah Y.;Jovanovic B.;Doklestic K.;Velickovic J.;Velickovic D.;Jankovic R.;Vukovic A.;Skoric-Jokic S.;Radovanovic D.;Richards G.;Alli A.;del Carmen Cordoba Nielfa M.;Iniesta R. S.;Martinez A. B. -C.;Bernedo C. G.;Gil S. A. P.;Nuvials X.;Garcia J. G.;Pena J. M. G.;Jimenez R.;Herrera L.;Barrachina L. G.;Monzon I. C.;Redondo F. J.;Villazala R.;Zapata D. F. M.;Lopez I. M. V.;Moreno-Gonzalez G.;Lopez-Delgado J. C.;Marin J. S.;Sanchez-Zamora P.;Vidal M. V.;Gonzalez J. F.;Salinas I.;Hermosa C.;Martinez-Sagasti F.;Domingo-Marin S.;Victorino J. A.;Garcia-Alvarez R.;Calleja P. L. -A.;de la Torre-Prados M. -V.;Vidal-Cortes P.;del Rio-Carbajo L.;Izura J.;Minguez V.;Alvarez J. T.;Prous A. P.;Paz D.;Roche-Campo F.;Aguilar G.;Belda J.;Rico-Feijoo J.;Aldecoa C.;Zalba-Etayo B.;Lang M.;Dullenkopf A.;Trongtrakul K.;Chtsomkasem A.;Akbas T.;Unal M. N.;Ozcelik M.;Gumus A.;Ramazanoglu A.;Memis D.;Mehmet I.;Urkmez S.;Ozgultekin A.;Demirkiran O.;Aslan N. A.;Kizilaslan D.;Kahveci F.;Unlu N.;Ozkan Z.;Kaye C.;Jansen J.;O'Neill O.;Nutt C.;Jha R.;Hooker N.;Grecu I.;Petridou C.;Shyamsundar M.;McNamee L.;Trinder J.;Hagan S.;Kelly C.;Silversides J.;Groba C. B.;Boyd O.;Bhowmick K.;Humphreys S.;Summers C.;Polgarova P.;Margarson M.;Dickens J.;Pearson S.;Chinery E.;Hemmings N.;O'Kane S.;Austin P.;Cole S.;Plowright C.;Box R.;Wright C.;Young L.;Montague L.;Parker R.;Morton B.;Ostermann M.;Bilinska J.;Rose B. O.;Reece-Anthony R.;Ryan C.;Hamilton M.;Hopkins P.;Wendon J.;Brescia G.;Ijaz N.;Wood J.;George M.;Toth-Tarsoly P.;Yates B.;Armstrong M.;Scott C.;Boyd C.;Szakmany T.;Rees D.;Pulak P.;Coggon M.;Saha B.;Kent L.;Gibson B.;Camsooksai J.;Reschreiter H.;Morgan P.;Sangaralingham S.;Lowe A.;Vondras P.;Jamadarkhana S.;Cruz C.;Bhandary R.;Hersey P.;Furneval J.;Innes R.;Doble P.;Attwood B.;Parsons P.;Page V.;Zhao X.;Grecu I.;Dalton J.;Hegazy M.;Awad Y.;Naylor D.;Naylor A.;Lee S.;Brevard S.;Davis N.
2019-01-01
Abstract
Purpose: To describe the epidemiology of intra-abdominal infection in an international cohort of ICU patients according to a new system that classifies cases according to setting of infection acquisition (community-acquired, early onset hospital-acquired, and late-onset hospital-acquired), anatomical disruption (absent or present with localized or diffuse peritonitis), and severity of disease expression (infection, sepsis, and septic shock). Methods: We performed a multicenter (n = 309), observational, epidemiological study including adult ICU patients diagnosed with intra-abdominal infection. Risk factors for mortality were assessed by logistic regression analysis. Results: The cohort included 2621 patients. Setting of infection acquisition was community-acquired in 31.6%, early onset hospital-acquired in 25%, and late-onset hospital-acquired in 43.4% of patients. Overall prevalence of antimicrobial resistance was 26.3% and difficult-to-treat resistant Gram-negative bacteria 4.3%, with great variation according to geographic region. No difference in prevalence of antimicrobial resistance was observed according to setting of infection acquisition. Overall mortality was 29.1%. Independent risk factors for mortality included late-onset hospital-acquired infection, diffuse peritonitis, sepsis, septic shock, older age, malnutrition, liver failure, congestive heart failure, antimicrobial resistance (either methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, extended-spectrum beta-lactamase-producing Gram-negative bacteria, or carbapenem-resistant Gram-negative bacteria) and source control failure evidenced by either the need for surgical revision or persistent inflammation. Conclusion: This multinational, heterogeneous cohort of ICU patients with intra-abdominal infection revealed that setting of infection acquisition, anatomical disruption, and severity of disease expression are disease-specific phenotypic characteristics associated with outcome, irrespective of the type of infection. Antimicrobial resistance is equally common in community-acquired as in hospital-acquired infection.
Blot S., Antonelli M., Arvaniti K., Blot K., Creagh-Brown B., de Lange D., et al. (2019). Epidemiology of intra-abdominal infection and sepsis in critically ill patients: “AbSeS”, a multinational observational cohort study and ESICM Trials Group Project. INTENSIVE CARE MEDICINE, 45(12), 1703-1717 [10.1007/s00134-019-05819-3].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/388103
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Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2021-2023 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
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