Impact Of The Ileal Microbiota On Surgical ...
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Article dans une revue scientifique: Article original
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Title :
Impact Of The Ileal Microbiota On Surgical Site Infections In Crohn's Disease: A Nationwide Prospective Cohort.
Author(s) :
Julien, Clément [Auteur]
Aix-Marseille Université - École de médecine [AMU SMPM MED]
Anakok, Emré [Auteur]
Centre de Recherche Saint-Antoine [CRSA]
Laboratoire de Probabilités, Statistique et Modélisation [LPSM (UMR_8001)]
Treton, Xavier [Auteur]
Hôpital Beaujon [AP-HP]
Nachury, Maria [Auteur]
Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286
Nancey, Stéphane [Auteur]
Centre International de Recherche en Infectiologie [CIRI]
Buisson, Anthony [Auteur]
CHU Clermont-Ferrand
Fumery, Mathurin [Auteur]
CHU Amiens-Picardie
Filippi, Jerôme [Auteur]
Hôpital Archet 2 [Nice] [CHU]
Maggiori, Léon [Auteur]
Hopital Saint-Louis [AP-HP] [AP-HP]
Panis, Yves [Auteur]
Hôpital Beaujon [AP-HP]
Zerbib, Philippe [Auteur]
Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286
François, Yves [Auteur]
Centre Hospitalier Lyon Sud [CHU - HCL] [CHLS]
Dubois, Anne [Auteur]
CHU Clermont-Ferrand
Sabbagh, Charles [Auteur]
Rahili, Amine [Auteur]
Hôpital l'Archet
Seksik, Philippe [Auteur]
Centre de Recherche Saint-Antoine [CRSA]
Allez, Matthieu [Auteur]
Hopital Saint-Louis [AP-HP] [AP-HP]
Lefevre, Jeremie H. [Auteur]
Paris Center for Microbiome Medicine [FHU PaCeMM]
Le Corff, Sylvain [Auteur]
Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux [SAMOVAR]
Bonnet, Anne [Auteur]
Laboratoire de Probabilités, Statistique et Modélisation [LPSM (UMR_8001)]
Beyer-Berjot, Laura [Auteur]
Laboratoire de Biomécanique Appliquée [LBA UMR T24]
Sokol, Harry [Auteur]
Centre de Recherche Saint-Antoine [CRSA]
Paris Center for Microbiome Medicine [FHU PaCeMM]
MICrobiologie de l'ALImentation au Service de la Santé [MICALIS]
Aix-Marseille Université - École de médecine [AMU SMPM MED]
Anakok, Emré [Auteur]
Centre de Recherche Saint-Antoine [CRSA]
Laboratoire de Probabilités, Statistique et Modélisation [LPSM (UMR_8001)]
Treton, Xavier [Auteur]
Hôpital Beaujon [AP-HP]
Nachury, Maria [Auteur]
Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286
Nancey, Stéphane [Auteur]
Centre International de Recherche en Infectiologie [CIRI]
Buisson, Anthony [Auteur]
CHU Clermont-Ferrand
Fumery, Mathurin [Auteur]
CHU Amiens-Picardie
Filippi, Jerôme [Auteur]
Hôpital Archet 2 [Nice] [CHU]
Maggiori, Léon [Auteur]
Hopital Saint-Louis [AP-HP] [AP-HP]
Panis, Yves [Auteur]
Hôpital Beaujon [AP-HP]
Zerbib, Philippe [Auteur]
Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286
François, Yves [Auteur]
Centre Hospitalier Lyon Sud [CHU - HCL] [CHLS]
Dubois, Anne [Auteur]
CHU Clermont-Ferrand
Sabbagh, Charles [Auteur]
Rahili, Amine [Auteur]
Hôpital l'Archet
Seksik, Philippe [Auteur]
Centre de Recherche Saint-Antoine [CRSA]
Allez, Matthieu [Auteur]
Hopital Saint-Louis [AP-HP] [AP-HP]
Lefevre, Jeremie H. [Auteur]
Paris Center for Microbiome Medicine [FHU PaCeMM]
Le Corff, Sylvain [Auteur]
Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux [SAMOVAR]
Bonnet, Anne [Auteur]
Laboratoire de Probabilités, Statistique et Modélisation [LPSM (UMR_8001)]
Beyer-Berjot, Laura [Auteur]
Laboratoire de Biomécanique Appliquée [LBA UMR T24]
Sokol, Harry [Auteur]
Centre de Recherche Saint-Antoine [CRSA]
Paris Center for Microbiome Medicine [FHU PaCeMM]
MICrobiologie de l'ALImentation au Service de la Santé [MICALIS]
Journal title :
Journal of Crohn's and Colitis
Abbreviated title :
J Crohns Colitis
Volume number :
16
Pages :
1211–1221
Publication date :
2022-03-03
ISSN :
1876-4479
English keyword(s) :
Gut microbiota
Crohn's disease
prediction
Crohn's disease
prediction
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Background and Aims
Surgery is performed in 50–70% of Crohn’s disease [CD] patients, and its main risk is surgical site infection [SSI]. The microbiota has been extensively assessed in CD but not as a potential risk ...
Show more >Background and Aims Surgery is performed in 50–70% of Crohn’s disease [CD] patients, and its main risk is surgical site infection [SSI]. The microbiota has been extensively assessed in CD but not as a potential risk factor for septic morbidity. The objective of this study was to assess the impact of the gut microbiota on SSI in CD. Methods We used the multicentric REMIND prospective cohort to identify all patients who experienced SSI after ileocolonic resection for CD, defined as any postoperative local septic complication within 90 days after surgery: wound abscess, intra-abdominal collection, anastomotic leakage or enterocutaneous fistula. The mucosa-associated microbiota of the ileal resection specimen was analysed by 16S gene sequencing in 149 patients. The variable selection and prediction were performed with random forests [R package VSURF] on clinical and microbiotal data. The criterion of performance that we considered was the area under the Receiver Operating Characteristic [ROC] curve [AUC]. Results SSI occurred in 24 patients [16.1%], including 15 patients [10.1%] with major morbidity. There were no significant differences between patients with or without SSI regarding alpha and beta diversity. The top selected variables for the prediction of SSI were all microbiota-related. The maximum AUC [0.796] was obtained with a model including 14 genera, but an AUC of 0.78 had already been obtained with a model including only six genera [Hungatella, Epulopiscium, Fusobacterium, Ruminococcaceae_ucg_009, Actinomyces and Ralstonia]. Conclusion The gut microbiota has the potential to predict SSI after ileocolonic resection for CD. It might play a role in this frequent postoperative complication.Show less >
Show more >Background and Aims Surgery is performed in 50–70% of Crohn’s disease [CD] patients, and its main risk is surgical site infection [SSI]. The microbiota has been extensively assessed in CD but not as a potential risk factor for septic morbidity. The objective of this study was to assess the impact of the gut microbiota on SSI in CD. Methods We used the multicentric REMIND prospective cohort to identify all patients who experienced SSI after ileocolonic resection for CD, defined as any postoperative local septic complication within 90 days after surgery: wound abscess, intra-abdominal collection, anastomotic leakage or enterocutaneous fistula. The mucosa-associated microbiota of the ileal resection specimen was analysed by 16S gene sequencing in 149 patients. The variable selection and prediction were performed with random forests [R package VSURF] on clinical and microbiotal data. The criterion of performance that we considered was the area under the Receiver Operating Characteristic [ROC] curve [AUC]. Results SSI occurred in 24 patients [16.1%], including 15 patients [10.1%] with major morbidity. There were no significant differences between patients with or without SSI regarding alpha and beta diversity. The top selected variables for the prediction of SSI were all microbiota-related. The maximum AUC [0.796] was obtained with a model including 14 genera, but an AUC of 0.78 had already been obtained with a model including only six genera [Hungatella, Epulopiscium, Fusobacterium, Ruminococcaceae_ucg_009, Actinomyces and Ralstonia]. Conclusion The gut microbiota has the potential to predict SSI after ileocolonic resection for CD. It might play a role in this frequent postoperative complication.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
Inserm
CHU Lille
Inserm
CHU Lille
Submission date :
2024-01-12T02:12:27Z
2024-03-29T08:13:27Z
2024-03-29T08:13:27Z