Risk factors for infections caused by carbapenem-resistant Enterobacterales: an international matched case-control-control study (EURECA).
Antimicrobial resistance
Carbapenem-resistant Enterobacterales
KPC
Metallo-beta-lactamases
OXA
Risk factors
Journal
EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727
Informations de publication
Date de publication:
Mar 2023
Mar 2023
Historique:
received:
02
01
2023
revised:
31
01
2023
accepted:
31
01
2023
entrez:
10
3
2023
pubmed:
11
3
2023
medline:
11
3
2023
Statut:
epublish
Résumé
Data on risk factors for carbapenem-resistant Enterobacterales (CRE) with wider applicability are needed to inform preventive measures and efficient design of randomised trials. An international matched case-control-control study was performed in 50 hospitals with high CRE incidence from March 2016 to November 2018 to investigate different aspects of infections caused by CRE (NCT02709408). Cases were patients with complicated urinary tract infection (cUTI), complicated intraabdominal (cIAI), pneumonia or bacteraemia from other sources (BSI-OS) due to CRE; control groups were patients with infection caused by carbapenem-susceptible Enterobacterales (CSE), and by non-infected patients, respectively. Matching criteria included type of infection for CSE group, ward and duration of hospital admission. Conditional logistic regression was used to identify risk factors. Overall, 235 CRE case patients, 235 CSE controls and 705 non-infected controls were included. The CRE infections were cUTI (133, 56.7%), pneumonia (44, 18.7%), cIAI and BSI-OS (29, 12.3% each). Carbapenemase genes were found in 228 isolates: OXA-48/like, 112 (47.6%), KPC, 84 (35.7%), and metallo-β-lactamases, 44 (18.7%); 13 produced two. The risk factors for CRE infection in both type of controls were (adjusted OR for CSE controls; 95% CI; p value) previous colonisation/infection by CRE (6.94; 2.74-15.53; <0.001), urinary catheter (1.78; 1.03-3.07; 0.038) and exposure to broad spectrum antibiotics, as categorical (2.20; 1.25-3.88; 0.006) and time-dependent (1.04 per day; 1.00-1.07; 0.014); chronic renal failure (2.81; 1.40-5.64; 0.004) and admission from home (0.44; 0.23-0.85; 0.014) were significant only for CSE controls. Subgroup analyses provided similar results. The main risk factors for CRE infections in hospitals with high incidence included previous colonization, urinary catheter and exposure to broad spectrum antibiotics. The study was funded by the Innovative Medicines Initiative Joint Undertaking (https://www.imi.europa.eu/) under Grant Agreement No. 115620 (COMBACTE-CARE).
Sections du résumé
Background
UNASSIGNED
Data on risk factors for carbapenem-resistant Enterobacterales (CRE) with wider applicability are needed to inform preventive measures and efficient design of randomised trials.
Methods
UNASSIGNED
An international matched case-control-control study was performed in 50 hospitals with high CRE incidence from March 2016 to November 2018 to investigate different aspects of infections caused by CRE (NCT02709408). Cases were patients with complicated urinary tract infection (cUTI), complicated intraabdominal (cIAI), pneumonia or bacteraemia from other sources (BSI-OS) due to CRE; control groups were patients with infection caused by carbapenem-susceptible Enterobacterales (CSE), and by non-infected patients, respectively. Matching criteria included type of infection for CSE group, ward and duration of hospital admission. Conditional logistic regression was used to identify risk factors.
Findings
UNASSIGNED
Overall, 235 CRE case patients, 235 CSE controls and 705 non-infected controls were included. The CRE infections were cUTI (133, 56.7%), pneumonia (44, 18.7%), cIAI and BSI-OS (29, 12.3% each). Carbapenemase genes were found in 228 isolates: OXA-48/like, 112 (47.6%), KPC, 84 (35.7%), and metallo-β-lactamases, 44 (18.7%); 13 produced two. The risk factors for CRE infection in both type of controls were (adjusted OR for CSE controls; 95% CI; p value) previous colonisation/infection by CRE (6.94; 2.74-15.53; <0.001), urinary catheter (1.78; 1.03-3.07; 0.038) and exposure to broad spectrum antibiotics, as categorical (2.20; 1.25-3.88; 0.006) and time-dependent (1.04 per day; 1.00-1.07; 0.014); chronic renal failure (2.81; 1.40-5.64; 0.004) and admission from home (0.44; 0.23-0.85; 0.014) were significant only for CSE controls. Subgroup analyses provided similar results.
Interpretation
UNASSIGNED
The main risk factors for CRE infections in hospitals with high incidence included previous colonization, urinary catheter and exposure to broad spectrum antibiotics.
Funding
UNASSIGNED
The study was funded by the Innovative Medicines Initiative Joint Undertaking (https://www.imi.europa.eu/) under Grant Agreement No. 115620 (COMBACTE-CARE).
Identifiants
pubmed: 36895801
doi: 10.1016/j.eclinm.2023.101871
pii: S2589-5370(23)00048-2
pmc: PMC9989660
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101871Investigateurs
Almudena de la Serna
(A)
Sophie Monteau
(S)
Virginia Palomo
(V)
Elena Soriano
(E)
David Gutierrez
(D)
Elisa Moreno
(E)
Zaira Palacios
(Z)
Isabel Morales
(I)
Natalia Maldonado
(N)
Antonio Plata Ciezar
(AP)
Juan Diego Ruiz Mesa
(JD)
Beatriz Sobrino Diaz
(BS)
Ignacio Marquez Gomez
(IM)
Ines Perez Camacho
(IP)
Azahara Frutos-Adame
(A)
Julia Guzman-Puche
(J)
Irene Gracia-Ahufinger
(I)
Elena Perez-Nadales
(E)
Julian Torre-Gimenez
(J)
Athina Pyrpasopoulou
(A)
Elias Iosifidis
(E)
Elsa Chorafa
(E)
Ivana Radovanovic
(I)
Sladjana Petrovic
(S)
Slavica Cvetkovi
(S)
Srdjan-Sanja Melentijevic
(SS)
Can Bicmen
(C)
Gunes Senol
(G)
Fe Tubau
(F)
Jordi Camara
(J)
Victor Daniel Gumucio
(VD)
Dimitris Bassoulis
(D)
John Deliolanis
(J)
Vassiliki Ch Pitiriga
(VC)
Nikolaos Triarides
(N)
Efstathia Argiti
(E)
Nikolaos J Legakis
(NJ)
Kyriakidou Margarita
(K)
Desirée Gijón-Cordero
(D)
Patricia Ruiz-Garbajosa
(P)
Alessandro Bartoloni
(A)
Gian Maria Rossolini
(GM)
Simin-Aysel Florescu
(SA)
Maria Nica
(M)
Serban Benea
(S)
Daniela Talapan
(D)
Deana Medić
(D)
Sanja Maričić Prijić
(SM)
Mireia Cantero Caballero
(MC)
Lina M Parra Ramírez
(LM)
Volkan Korten
(V)
Hüseyin Bilgin
(H)
George N Dalekos
(GN)
Aggelos Stefos
(A)
Nikolaos Spyridis
(N)
Athanasios Michos
(A)
Francesco Giuseppe De Rosa
(FG)
Rossana Cavallo
(R)
Nicola Petrosillo
(N)
Antonio Dicaro
(A)
Maria Paola Landini
(MP)
Marta Luisa Ciofi Degli Atti
(ML)
Mileva Masanovic
(M)
Dusan Matkovic
(D)
Sotirios Tsiodras
(S)
Francesco Blasi
(F)
Marta Di Pasquale
(M)
Claudio Viscoli
(C)
Andrei Vata
(A)
Olivia Dorneanu
(O)
Perlat Kapisyzi
(P)
Adriana Vince
(A)
Evdoxia Tsigou
(E)
Efstratios Maltezos
(E)
Apostolos Komnos
(A)
Charalampos Gogos
(C)
Fabio Franzetti
(F)
Massimo Antonelli
(M)
Mihaela Lupse
(M)
Dan Corneci
(D)
Dana Tomescu
(D)
Anca Georgescu
(A)
Ljiljana Bukarica
(L)
Goran Mitrović
(G)
Nataša Lukić Krstić
(NL)
Arsim Kurti
(A)
Beatriz Díaz-Pollán
(B)
Julia Origüen Sabater
(JO)
Patricia Muñoz
(P)
Alpay Azap
(A)
Banu Sancak
(B)
Arife Sahin
(A)
Halis Akalin
(H)
Informations de copyright
© 2023 The Author(s).
Déclaration de conflit d'intérêts
George L. Daikos reports personal fees from Pfizer, personal fees from MSD, outside the submitted work. Lionel K. Tan is an employee of and holds stocks and shares in GlaxoSmithKline. Pierluigi Viale reports grants from Shionogi and Gilead; personal fees from Shionogi, MSD, Allianz, Nordic, InfectoPharm, MundiPharm and Angelini, outside the submitted work. Jose María Reguera reports non-financial support from Pfizer. Lucía Valiente de Santis reports non-financial support from Pfizer. Julián Torre-Cisneros reports personal fees from MSD, Pfizer, Menarini, and Shionogi; and non-financial support from Pfizer, Shionogi and Gilead, outside the submitted work. Ángela Cano reports personal fees from Shionogi. Emmanuel Roilides reports personal fees from Amplyx, Astellas, Gilead, MSD, Pfizer, Scynexis, GSK and Shionogi, outside the submitted work. Marc J. Bonten reports grants paid to his institution from Janssen Vaccines, Novartis, CureVac and Merck; participation in Advisory Boards with payment to his institution from Spherecydes, Pfizer, Merck and Astra-Zeneca, and participation in Data Safety Monitoring Boards with payment to his institution from Sanofi. All other authors have no conflicts to declare.
Références
Microb Drug Resist. 2018 Mar;24(2):190-198
pubmed: 28749714
Clin Infect Dis. 2002 Jun 15;34(12):1558-63
pubmed: 12032889
Occup Environ Med. 1999 Jan;56(1):67-9
pubmed: 10341749
Infect Control Hosp Epidemiol. 2009 Mar;30(3):273-6
pubmed: 19193018
Lancet. 2007 Oct 20;370(9596):1453-7
pubmed: 18064739
J Glob Antimicrob Resist. 2020 Jun;21:306-313
pubmed: 31525540
Clin Infect Dis. 2001 Apr 1;32(7):1055-61
pubmed: 11264034
Lancet Infect Dis. 2018 Mar;18(3):318-327
pubmed: 29276051
Clin Microbiol Infect. 2015 Jul;21(7):649.e1-10
pubmed: 25882363
J Infect. 2016 Feb;72(2):152-60
pubmed: 26546855
BMJ Open. 2017 Apr 3;7(4):e015365
pubmed: 28373258
Clin Microbiol Infect. 2017 Jan;23(1):48.e9-48.e16
pubmed: 27642178
Antimicrob Resist Infect Control. 2020 Jan 31;9(1):23
pubmed: 32005246
J Glob Antimicrob Resist. 2022 Jun;29:476-482
pubmed: 34788693
PLoS One. 2015 Oct 20;10(10):e0140754
pubmed: 26485570
Lancet Infect Dis. 2020 Jun;20(6):731-741
pubmed: 32151332
Clin Microbiol Infect. 2014 Dec;20(12):1357-62
pubmed: 24980276
Clin Infect Dis. 2018 Apr 3;66(8):1204-1210
pubmed: 29126110
Lancet Infect Dis. 2022 Mar;22(3):401-412
pubmed: 34767753
J Antimicrob Chemother. 2015 Jul;70(7):2133-43
pubmed: 25900159