Prediction models for carbapenem-resistant Enterobacterales carriage at liver transplantation: A multicenter retrospective study

dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorFREIRE, Maristela Pinheiro
dc.contributor.authorRINALDI, Matteo
dc.contributor.authorTERRABUIO, Debora Raquel Benedita
dc.contributor.authorFURTADO, Mariane
dc.contributor.authorPASQUINI, Zeno
dc.contributor.authorBARTOLETTI, Michele
dc.contributor.authorOLIVEIRA, Tiago Almeida de
dc.contributor.authorNUNES, Nathalia Neves
dc.contributor.authorLEMOS, Gabriela Takeshigue
dc.contributor.authorMACCARO, Angelo
dc.contributor.authorSINISCALCHI, Antonio
dc.contributor.authorLAICI, Cristiana
dc.contributor.authorCESCON, Matteo
dc.contributor.authorDT'ALBUQUERQUE, Luiz Augusto Carneiro
dc.contributor.authorMORELLI, Maria Cristina
dc.contributor.authorSONG, Alice T. W.
dc.contributor.authorABDALA, Edson
dc.contributor.authorVIALE, Pierluigi
dc.contributor.authorCHIAVEGATTO FILHO, Alexandre Dias Porto
dc.contributor.authorGIANNELLA, Maddalena
dc.date.accessioned2023-02-23T14:54:09Z
dc.date.available2023-02-23T14:54:09Z
dc.date.issued2022
dc.description.abstractBackground: Carbapenem-resistant Enterobacterales (CRE) colonisation at liver transplantation (LT) increases the risk of CRE infection after LT, which impacts on recipients' survival. Colonization status usually becomes evident only near LT. Thus, predictive models can be useful to guide antibiotic prophylaxis in endemic centres. Aims: This study aimed to identify risk factors for CRE colonisation at LT in order to build a predictive model. Methods: Retrospective multicentre study including consecutive adult patients who underwent LT, from 2010 to 2019, at two large teaching hospitals. We excluded patients who had CRE infections within 90 days before LT. CRE screening was performed in all patients on the day of LT. Exposure variables were considered within 90 days before LT and included cirrhosis complications, underlying disease, time on the waiting list, MELD and CLIF-SOFA scores, antibiotic use, intensive care unit and hospital stay, and infections. A machine learning model was trained to detect the probability of a patient being colonized with CRE at LT. Results: A total of 1544 patients were analyzed, 116 (7.5%) patients were colonized by CRE at LT. The median time from CRE isolation to LT was 5 days. Use of antibiotics, hepato-renal syndrome, worst CLIF sofa score, and use of beta-lactam/beta-lactamase inhibitor increased the probability of a patient having pre-LT CRE. The proposed algorithm had a sensitivity of 66% and a specificity of 83% with a negative predictive value of 97%. Conclusions: We created a model able to predict CRE colonization at LT based on easyto-obtain features that could guide antibiotic prophylaxiseng
dc.description.indexMEDLINE
dc.description.indexPubMed
dc.description.indexWoS
dc.description.indexScopus
dc.identifier.citationTRANSPLANT INFECTIOUS DISEASE, v.24, n.6, article ID e13920, 11p, 2022
dc.identifier.doi10.1111/tid.13920
dc.identifier.eissn1399-3062
dc.identifier.issn1398-2273
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/51500
dc.language.isoeng
dc.publisherWILEYeng
dc.relation.ispartofTransplant Infectious Disease
dc.rightsrestrictedAccesseng
dc.rights.holderCopyright WILEYeng
dc.subjectcarbapenem-resistanceeng
dc.subjectCLIF-SOFA scoreeng
dc.subjectmachine learningeng
dc.subjectperitonitis prophylaxiseng
dc.subjectprediction modeleng
dc.subject.otherprophylaxiseng
dc.subject.otherinfectionseng
dc.subject.wosImmunologyeng
dc.subject.wosInfectious Diseaseseng
dc.subject.wosTransplantationeng
dc.titlePrediction models for carbapenem-resistant Enterobacterales carriage at liver transplantation: A multicenter retrospective studyeng
dc.typearticleeng
dc.type.categoryoriginal articleeng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.affiliation.countryItália
hcfmusp.affiliation.countryisoit
hcfmusp.author.externalRINALDI, Matteo:Univ Bologna, Dept Med & Surg Sci, Infect Dis Unit, Policlin St Orsola Malpighi, Bologna, Italy
hcfmusp.author.externalFURTADO, Mariane:Univ Sao Paulo, Sch Publ Hlth, Sao Paulo, Brazil
hcfmusp.author.externalPASQUINI, Zeno:Univ Bologna, Dept Med & Surg Sci, Infect Dis Unit, Policlin St Orsola Malpighi, Bologna, Italy
hcfmusp.author.externalBARTOLETTI, Michele:Univ Bologna, Dept Med & Surg Sci, Infect Dis Unit, Policlin St Orsola Malpighi, Bologna, Italy
hcfmusp.author.externalOLIVEIRA, Tiago Almeida de:Univ Sao Paulo, Sch Publ Hlth, Sao Paulo, Brazil; Paraiba State Univ Paraiba, Stat Dept, Campina Grande, Paraiba, Brazil
hcfmusp.author.externalMACCARO, Angelo:Univ Bologna, Dept Med & Surg Sci, Infect Dis Unit, Policlin St Orsola Malpighi, Bologna, Italy
hcfmusp.author.externalSINISCALCHI, Antonio:Univ Bologna, St Orsola Malpighi Hosp, Dept Gen Surg & Transplantat, Bologna, Italy
hcfmusp.author.externalLAICI, Cristiana:Univ Bologna, St Orsola Malpighi Hosp, Dept Gen Surg & Transplantat, Bologna, Italy
hcfmusp.author.externalCESCON, Matteo:Univ Bologna, Dept Med & Surg Sci, Bologna, Emilia Romagna, Italy
hcfmusp.author.externalMORELLI, Maria Cristina:Univ Bologna, St Orsola Malpighi Hosp, Dept Gen Surg & Transplantat, Bologna, Italy
hcfmusp.author.externalSONG, Alice T. W.:Univ Bologna, Dept Med & Surg Sci, Bologna, Emilia Romagna, Italy
hcfmusp.author.externalVIALE, Pierluigi:Univ Bologna, Policlin St Orsola, Infect Dis Unit, IRCCS Azienda Osped, Bologna, Italy
hcfmusp.author.externalCHIAVEGATTO FILHO, Alexandre Dias Porto:Univ Sao Paulo, Sch Publ Hlth, Sao Paulo, Brazil
hcfmusp.author.externalGIANNELLA, Maddalena:Univ Bologna, Policlin St Orsola, Infect Dis Unit, IRCCS Azienda Osped, Bologna, Italy
hcfmusp.citation.scopus4
hcfmusp.contributor.author-fmusphcMARISTELA PINHEIRO FREIRE
hcfmusp.contributor.author-fmusphcDEBORA RAQUEL BENEDITA TERRABUIO
hcfmusp.contributor.author-fmusphcNATHALIA NEVES NUNES
hcfmusp.contributor.author-fmusphcGABRIELA TAKESHIGUE LEMOS
hcfmusp.contributor.author-fmusphcLUIZ AUGUSTO CARNEIRO D ALBUQUERQUE
hcfmusp.contributor.author-fmusphcEDSON ABDALA
hcfmusp.description.articlenumbere13920
hcfmusp.description.issue6
hcfmusp.description.volume24
hcfmusp.origemWOS
hcfmusp.origem.pubmed35942941
hcfmusp.origem.scopus2-s2.0-85135567941
hcfmusp.origem.wosWOS:000837627200001
hcfmusp.publisher.cityHOBOKENeng
hcfmusp.publisher.countryUSAeng
hcfmusp.relation.referenceAbboud CS, 2013, BRAZ J INFECT DIS, V17, P254, DOI 10.1016/j.bjid.2012.10.016eng
hcfmusp.relation.referenceAllaire M, 2020, CLIN RES HEPATOL GAS, V44, P264, DOI 10.1016/j.clinre.2019.10.003eng
hcfmusp.relation.reference[Anonymous], 2018, EUR COMM ANT SUSC TEeng
hcfmusp.relation.referenceBartoletti M, 2018, INFECT DIS CLIN N AM, V32, P551, DOI 10.1016/j.idc.2018.04.004eng
hcfmusp.relation.referenceBergstra James, 2015, Computational Science and Discovery, V8, DOI 10.1088/1749-4699/8/1/014008eng
hcfmusp.relation.referenceBreiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324eng
hcfmusp.relation.referenceCDC/NHSN, 2021, SURV DEF SPEC TYP INeng
hcfmusp.relation.referenceCenters for Disease Control and Prevention, 2021, MULT RES ORG CLOSTReng
hcfmusp.relation.referenceClinical and Laboratory Standards Institute (CLSI), 2019, PERFORMANCE STANDARDeng
hcfmusp.relation.referenceCollins GS, 2015, ANN INTERN MED, V162, P55, DOI [10.7326/M14-0697, 10.1016/j.jclinepi.2014.11.010, 10.1161/CIRCULATIONAHA.114.014508, 10.1186/s12916-014-0241-z, 10.7326/M14-0698, 10.1002/bjs.9736, 10.1016/j.eururo.2014.11.025, 10.1136/bmj.g7594, 10.1038/bjc.2014.639]eng
hcfmusp.relation.referenceDorogush AV., CATBOOST GRADIENT BOeng
hcfmusp.relation.referenceEuropean Assoc Study Liver, 2018, J HEPATOL, V69, P406, DOI 10.1016/j.jhep.2018.03.024eng
hcfmusp.relation.referenceFreire MP, 2021, DIAGN MICR INFEC DIS, V99, DOI 10.1016/j.diagmicrobio.2020.115220eng
hcfmusp.relation.referenceFreire MP, 2015, TRANSPLANTATION, V99, P521, DOI 10.1097/TP.0000000000000381eng
hcfmusp.relation.referenceFreire MP, 2017, TRANSPLANTATION, V101, P811, DOI [10.1097/tp.0000000000001620, 10.1097/TP.0000000000001620]eng
hcfmusp.relation.referenceGeurts P, 2006, MACH LEARN, V63, P3, DOI 10.1007/s10994-006-6226-1eng
hcfmusp.relation.referenceGiannella M, 2019, CLIN MICROBIOL INFEC, V25, P1525, DOI 10.1016/j.cmi.2019.04.014eng
hcfmusp.relation.referenceGiannella M, 2021, CLIN INFECT DIS, V73, pE955, DOI 10.1093/cid/ciab109eng
hcfmusp.relation.referenceHsu JY., 2020, LIVER INT, V61, P1291, DOI [10.1016/j.cgh.2012.08.017, DOI 10.1016/J.CGH.2012.08.017]eng
hcfmusp.relation.referenceKe GL, 2017, ADV NEUR IN, V30eng
hcfmusp.relation.referenceLogre E, 2021, TRANSPLANTATION, V105, P338, DOI 10.1097/TP.0000000000003231eng
hcfmusp.relation.referenceMacesic N, 2018, CLIN INFECT DIS, V67, P905, DOI 10.1093/cid/ciy199eng
hcfmusp.relation.referenceMcGuire RJ, 2021, ANTIMICROB AGENTS CH, V65, DOI 10.1128/AAC.00063-21eng
hcfmusp.relation.referenceMoreau R, 2013, GASTROENTEROLOGY, V144, P1426, DOI 10.1053/j.gastro.2013.02.042eng
hcfmusp.relation.referenceNutman A, 2020, CLIN INFECT DIS, V70, P1891, DOI 10.1093/cid/ciz524eng
hcfmusp.relation.referencePerez-Nadales E, 2020, AM J TRANSPLANT, V20, P1629, DOI 10.1111/ajt.15769eng
hcfmusp.relation.referencePouch SM, 2019, CLIN TRANSPLANT, V33, DOI 10.1111/ctr.13594eng
hcfmusp.relation.referenceTaimur S, 2021, CLIN TRANSPLANT, V35, DOI 10.1111/ctr.14239eng
hcfmusp.relation.referencevan Loon K, 2018, ANTIMICROB AGENTS CH, V62, DOI 10.1128/AAC.01730-17eng
hcfmusp.relation.referenceWiest R, 2014, J HEPATOL, V60, P197, DOI 10.1016/j.jhep.2013.07.044eng
hcfmusp.relation.referenceWILSON DL, 1972, IEEE T SYST MAN CYB, VSMC2, P408, DOI 10.1109/TSMC.1972.4309137eng
hcfmusp.scopus.lastupdate2024-05-10
relation.isAuthorOfPublicationa8ab8ff5-c94f-459b-a12a-5c0a1d2d3eda
relation.isAuthorOfPublication1602ec8c-a643-4a97-a7b0-4cbddd2f9434
relation.isAuthorOfPublication62d6962a-eab1-4140-bfef-7d5c621fcacb
relation.isAuthorOfPublicationeeb7d059-5f46-4b51-b64e-323549b4257a
relation.isAuthorOfPublication76abd4ae-f9a2-4e92-ab14-33225960d02a
relation.isAuthorOfPublication8f2a0908-530e-4109-9a31-d275670247f7
relation.isAuthorOfPublication.latestForDiscoverya8ab8ff5-c94f-459b-a12a-5c0a1d2d3eda
Arquivos
Pacote Original
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
art_FREIRE_Prediction_models_for_carbapenemresistant_Enterobacterales_carriage_at_liver_2022.PDF
Tamanho:
580.61 KB
Formato:
Adobe Portable Document Format
Descrição:
publishedVersion (English)