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1. A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohn’s Disease: A Population-based Study

Author

Sarter, Hélène, Savoye, Guillaume, Marot, Guillemette, Ley, Delphine, Turck, Dominique, Hugot, Jean-Pierre, Vasseur, Francis, Duhamel, Alain, Wils, Pauline, Princen, Fred, Colombel, Jean-Frédéric, Gower-Rousseau, Corinne, Fumery, Mathurin, Al Hameedi, R, Al Khatib, M, Al Turk, S, Agoute, E, Andre, J, Antonietti, M, Aouakli, A, Armand, A, Armengol-Debeir, L, Aroichane, I, Assi, F, Aubet, J, Auxenfants, E, Avram, A, Ayafi-Ramelot, F, Azzouzi, K, Bankovski, D, Barbry, B, Bardoux, N, Baron, P, Baudet, A, Bayart, P, Bazin, B, Bebahani, A, Becqwort, J, Bellati, S, Benet, V, Benali, H, Benard, C, Benguigui, C, Ben Soussan, E, Bental, A, Berkelmans, I, Bernet, J, Bernou, K, Bernou-Dron, C, Bertot, P, Bertiaux-Vandaële, N, Bertrand, V, Billoud, E, Biron, N, Bismuth, B, Bleuet, M, Blondel, F, Blondin, V, Bobula, M, Bohon, P, Bondjemah, V, Boniface, E, Bonkovski, D, Bonnière, P, Bonvarlet, E, Bonvarlet, P, Boruchowicz, A, Bostvironnois, R, Boualit, M, Bouazza, A, Bouche, B, Boudaillez, C, Bourgeaux, C, Bourgeois, M, Bourguet, A, Bourienne, A, Boutaleb, H, Bouthors, A, Branche, J, Bray, G, Brazier, F, Breban, P, Bridenne, M, Brihier, H, Bril, L, Brung-Lefebvre, V, Bulois, P, Burgiere, P, Butel, J, Canva, J, Canva-Delcambre, V, Capron, J, Cardot, F, Carette, S, Carpentier, P, Cartier, E, Cassar, J, Cassagnou, M, Castex, J, Catala, P, Cattan, S, Catteau, S, Caujolle, B, Cayron, G, Chandelier, C, Chantre, M, Charles, J, Charneau, T, Chavance-Thelu, M, Cheny, A, Chirita, D, Choteau, A, Claerbout, J, Clergue, P, Coevoet, H, Cohen, G, Collet, R, Colin, M, Colombel, J, Coopman, S, Cordiez, L, Corvisart, J, Cortot, A, Couttenier, F, Crinquette, J, Crombe, V, Dadamessi, I, Daoudi, H, Dapvril, V, Davion, T, Dautreme, S, Debas, J, Decoster, S, Degrave, N, Dehont, F, Delatre, C, Delcenserie, R, Delesalle, D, Delette, O, Delgrange, T, Delhoustal, L, Delmotte, J, Demmane, S, Deregnaucourt, G, Descombes, P, Desechalliers, J, Desmet, P, Desreumaux, P, Desseaux, G, Desurmont, P, Devienne, A, Devouge, E, Devred, M, Devroux, A, Dewailly, A, Dharancy, S, Di Fiore, A, Djedir, D, Djedir, R, Doleh, W, Dreher-Duwat, M, Dubois, R, Duburque, C, Ducatillon, P, Duclay, J, Ducrocq, B, Ducrot, F, Ducrotte, P, Dufilho, A, Duhamel, C, Dujardin, D, Dumant-Forest, C, Dupas, J, Dupont, F, Duranton, Y, Duriez, A, Duveau, N, El Achkar, K, El Farisi, M, Elie, C, Elie-Legrand, M, Elkhaki, A, Eoche, M, Essmaeel, E, Evrard, D, Evrard, J, Fatome, A, Filoche, B, Finet, L, Flahaut, M, Flamme, C, Foissey, D, Fournier, P, Foutrein-Comes, M, Foutrein, P, Fremond, D, Frere, T, Gallais, P, Gamblin, C, Ganga, S, Gerard, R, Geslin, G, Gheyssens, Y, Ghossini, N, Ghrib, S, Gilbert, T, Gillet, B, Godart, D, Godard, P, Godchaux, J, Godchaux, R, Goegebeur, G, Goria, O, Gottrand, F, Gower, P, Grandmaison, B, Groux, M, Guedon, C, Guerbeau, L, Gueroult-Dero, M, Guillard, J, Guillem, L, Guillemot, F, Guimberd, D, Haddouche, B, Hakim, S, Hanon, D, Hautefeuille, V, Heckestweiller, P, Hecquet, G, Hedde, J, Hellal, H, Henneresse, P, Heyman, B, Heraud, M, Herve, S, Hochain, P, Houssin-Bailly, L, Houcke, P, Huguenin, B, Iobagiu, S, Istanboli, S, Ivanovic, A, Iwanicki-Caron, I, Janicki, E, Jarry, M, Jeu, J, Joly, J, Jonas, C, Jouvenet, A, Katherin, F, Kerleveo, A, Khachfe, A, Kiriakos, A, Kiriakos, J, Klein, O, Kohut, M, Kornhauser, R, Koutsomanis, D, Laberenne, J, Lacotte, E, Laffineur, G, Lagarde, M, Lalanne, A, Lalieu, A, Lannoy, P, Lapchin, J, Laprand, M, Laude, D, Leblanc, R, Lecieux, P, Lecleire, S, Leclerc, N, Le Couteulx, C, Ledent, J, Lefebvre, J, Lefiliatre, P, Le Goffic, C, Legrand, C, Le Grix, A, Lelong, P, Leluyer, B, Lemaitre, C, Lenaerts, C, Lepeut, G, Lepileur, L, Leplat, A, Lepoutre-Dujardin, E, Leroi, H, Leroy, M, Le Roy, P, Lesage, B, Lesage, J, Lesage, X, Lescanne-Darchis, I, Lescut, J, Lescut, D, Leurent, B, Levy, P, Lhermie, M, Libier, L, Lion, A, Lisambert, B, Loge, I, Loire, F, Loreau, J, Louf, S, Louvet, A, Lubret, L, Luciani, M, Lucidarme, D, Lugand, J, Macaigne, O, Maetz, D, Maillard, D, Mancheron, H, Manolache, O, Marks-Brunel, A, Marre, C, Marti, R, Martin, F, Martin, G, Marzloff, E, Mathurin, P, Mauillon, J, Maunoury, V, Maupas, J, Medam Djomo, M, Mechior, C, Melki, Z, Mesnard, B, Metayer, P, Methari, L, Meurisse, B, Meurisse, F, Michaud, L, Mirmaran, X, Modaine, P, Monthe, A, Morel, L, Mortier, P, Moulin, E, Mouterde, O, Mozziconaci, N, Mudry, J, Nachury, M, Ngo, M, N’guyen Khac, Eric, Notteghem, B, Ollevier, V, Ostyn, A, Ouraghi, A, Oussadou, B, Ouvry, D, Paillot, B, Painchart, C, Panien-Claudot, N, Paoletti, C, Papazian, A, Parent, B, Pariente, B, Paris, J, Patrier, P, Paupard, T, Pauwels, B, Pauwels, M, Penninck, E, Petit, R, Piat, M, Piotte, S, Plane, C, Plouvier, B, Pollet, E, Pommelet, P, Pop, D, Pordes, C, Pouchain, G, Prades, P, Prevost, A, Prevost, J, Quartier, G, Quesnel, B, Queuniet, A, Quinton, J, Rabache, A, Rabelle, P, Raclot, G, Ratajczyk, S, Rault, D, Razemon, V, Reix, N, Renaut-Vantroys, T, Revillion, M, Riachi, G, Richez, C, Robinson, P, Rodriguez, J, Roger, J, Roux, J, Rudelli, A, Saber, A, Savoye, G, Schlossberg, P, Sefrioui, D, Segrestin, M, Seguy, D, Seminur, C, Serin, M, Seryer, A, Sevenet, F, Shekh, N, Silvie, J, Simon, V, Spyckerelle, C, Talbodec, N, Tavernier, N, Tchandeu, H, Techy, A, Thelu, J, Thevenin, A, Thiebault, H, Thomas, J, Thorel, J, Thuillier, C, Tielman, G, Tode, M, Toisin, J, Tonnel, J, Touchais, J, Toumelin, P, Touze, Y, Tranvouez, J, Triplet, C, Triki, N, Turck, D, Uhlen, S, Vaillant, E, Valmage, C, Vanco, D, Vandaele-Bertiaux, N, Vandamme, H, Vanderbecq, E, Vander Eecken, E, Vandermolen, P, Vandevenne, P, Vandeville, L, Vandewalle, A, Vandewalle, C, Vaneslander, P, Vanhoove, J, Vanrenterghem, A, Vanveuren, C, Varlet, P, Vasies, I, Verbiese, G, Verlynde, J, Vernier-Massouille, G, Vermelle, P, Verne, C, Vezilier-Cocq, P, Vigneron, B, Vincendet, M, Viot, J, Voiment, Y, Wacrenier, A, Waeghemaecker, L, Wallez, J, Wantiez, M, Wartel, F, Weber, J, Willocquet, J, Wizla, N, Wolschies, E, Zaharia, O, Zaoui, S, Zalar, A, Zaouri, B, Zellweger, A, Ziade, C, Beaugerie, L, Allez, M, Ruemmele, F, Lamer, A, Roy, M, CHU Lille, Institute for Translational Research in Inflammation - U 1286 (INFINITE (Ex-Liric)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Nutrition, Inflammation et axe Microbiote-Intestin-Cerveau (ADEN), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Normandie Université (NU), Service d'Hépato-Gastroentérologie [CHU Rouen], Hôpital Charles Nicolle [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Service des Maladies de l'Appareil Digestif et de la Nutrition [CHRU Lille], Hôpital Claude Huriez [Lille], CHU Lille-CHU Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre Hospitalier Universitaire de Reims (CHU Reims), Périnatalité et Risques Toxiques - UMR INERIS_I 1 (PERITOX), Institut National de l'Environnement Industriel et des Risques (INERIS)-Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, CHU Amiens-Picardie, Registre EPIMAD, Normandie Université (NU)-Normandie Université (NU)-CHU Amiens-Picardie-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Department of Colloid Chemistry [Potsdam], Max Planck Institute of Colloids and Interfaces, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Groupe de Recherche sur l'alcool et les pharmacodépendances - UMR INSERM_S 1247 (GRAP), and Université de Picardie Jules Verne (UPJV)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Crohn’s disease, inflammatory bowel disease, complication, genetics, prediction, prognosis, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

International audience; Background The identification of patients at high risk of a disabling disease course would be invaluable in guiding initial therapy in Crohn’s disease (CD). Our objective was to evaluate a combination of clinical, serological, and genetic factors to predict complicated disease course in pediatric-onset CD. Methods Data for pediatric-onset CD patients, diagnosed before 17 years of age between 1988 and 2004 and followed more than 5 years, were extracted from the population-based EPIMAD registry. The main outcome was defined by the occurrence of complicated behavior (stricturing or penetrating) and/or intestinal resection within the 5 years following diagnosis. Lasso logistic regression models were used to build a predictive model based on clinical data at diagnosis, serological data (ASCA, pANCA, anti-OmpC, anti-Cbir1, anti-Fla2, anti-Flax), and 369 candidate single nucleotide polymorphisms. Results In total, 156 children with an inflammatory (B1) disease at diagnosis were included. Among them, 35% (n = 54) progressed to a complicated behavior or an intestinal resection within the 5 years following diagnosis. The best predictive model (PREDICT-EPIMAD) included the location at diagnosis, pANCA, and 6 single nucleotide polymorphisms. This model showed good discrimination and good calibration, with an area under the curve of 0.80 after correction for optimism bias (sensitivity, 79%, specificity, 74%, positive predictive value, 61%, negative predictive value, 87%). Decision curve analysis confirmed the clinical utility of the model. Conclusions A combination of clinical, serotypic, and genotypic variables can predict disease progression in this population-based pediatric-onset CD cohort. Independent validation is needed before it can be used in clinical practice.

Published
2023
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2. Impact of Extra-Intestinal Manifestations at Diagnosis on Disease Outcome in Pediatric- and Elderly-Onset Crohn′s Disease: A French Population-Based Study

Author

Duricova, Dana, Sarter, Hélène, Savoye, Guillaume, Leroyer, Ariane, Pariente, Benjamin, Armengol-Debeir, Laura, Bouguen, Guillaume, Ley, Delphine, Turck, Dominique, Templier, Carole, Buche, Sebastien, Peyrin-Biroulet, Laurent, Gower-Rousseau, Corinne, Fumery, Mathurin, Andre, J M, Antonietti, M, Aouakli, A, Armand, A, Aroichane, I, Assi, F, Aubet, J P, Auxenfants, E, Ayafi-Ramelot, F, Bankovski, D, Barbry, B, Bardoux, N, Baron, P, Baudet, A, Bazin, B, Bebahani, A, Becqwort, J P, Benet, V, Benali, H, Benguigui, C, Ben Soussan, E, Bental, A, Berkelmans, I, Bernet, J, Bernou, K, Bernou-Dron, C, Bertot, P, Bertiaux-Vandaële, N, Bertrand, V, Billoud, E, Biron, N, Bismuth, B, Bleuet, M, Blondel, F, Blondin, V, Bohon, P, Boniface, E, Bonnière, P, Bonvarlet, E, Bonvarlet, P, Boruchowicz, A, Bostvironnois, R, Boualit, M, Bouche, B, Boudaillez, C, Bourgeaux, C, Bourgeois, M, Bourguet, A, Bourienne, A, Branche, J, Bray, G, Brazier, F, Breban, P, Brihier, H, Brung-Lefebvre, V, Bulois, P, Burgiere, P, Butel, J, Canva, J Y, Canva-Delcambre, V, Capron, J P, Cardot, F, Carpentier, P, Cartier, E, Cassar, J F, Cassagnou, M, Castex, J F, Catala, P, Cattan, S, Catteau, S, Caujolle, B, Cayron, G, Chandelier, C, Chantre, M, Charles, J, Charneau, T, Chavance-Thelu, M, Chirita, D, Choteau, A, Claerbout, J F, Clergue, P Y, Coevoet, H, Cohen, G, Collet, R, Colombel, J F, Coopman, S, Corvisart, J, Cortot, A, Couttenier, F, Crinquette, J F, Crombe, V, Dadamessi, I, Dapvril, V, Davion, T, Dautreme, S, Debas, J, Degrave, N, Dehont, F, Delatre, C, Delcenserie, R, Delette, O, Delgrange, T, Delhoustal, L, Delmotte, J S, Demmane, S, Deregnaucourt, G, Descombes, P, Desechalliers, J P, Desmet, P, Desreumaux, P, Desseaux, G, Desurmont, P, Devienne, A, Devouge, E, Devred, M, Devroux, A, Dewailly, A, Dharancy, S, Di Fiore, A, Djeddi, D, Djedir, R, Dreher-Duwat, M L, Dubois, R, Dubuque, C, Ducatillon, P, Duclay, J, Ducrocq, B, Ducrot, F, Ducrotté, P, Dufilho, A, Duhamel, C, Dujardin, D, Dumant-Forest, C, Dupas, J L, Dupont, F, Duranton, Y, Duriez, A, El Achkar, K, El Farisi, M, Elie, C, Elie-Legrand, M C, Elkhaki, A, Eoche, M, Evrard, D, Evrard, J P, Fatome, A, Filoche, B, Finet, L, Flahaut, M, Flamme, C, Foissey, D, Fournier, P, Foutrein- Comes, M C, Foutrein, P, Fremond, D, Frere, T, Fumery, M, Gallet, P, Gamblin, C, Ganga-Zandzou, S, Gerard, R, Geslin, G, Gheyssens, Y, Ghossini, N, Ghrib, S, Gilbert, T, Gillet, B, Godard, D, Godard, P, Godchaux, J M, Godchaux, R, Goegebeur, G, Goria, O, Gottrand, F, Gower, P, Grandmaison, B, Groux, M, Guedon, C, Guillard, J F, Guillem, L, Guillemot, F, Guimber, D, Haddouche, B, Hakim, S, Hanon, D, Hautefeuille, V, Heckestweiller, P, Hecquet, G, Hedde, J P, Hellal, H, Henneresse, P E, Heyman, B, Heraud, M, Herve, S, Hochain, P, Houssin-Bailly, L, Houcke, P, Huguenin, B, Iobagiu, S, Ivanovic, A, Iwanicki-Caron, I, Janicki, E, Jarry, M, Jeu, J, Joly, J P, Jonas, C, Katherin, F, Kerleveo, A, Khachfe, A, Kiriakos, A, Kiriakos, J, Klein, O, Kohut, M, Kornhauser, R, Koutsomanis, D, Laberenne, J E, Laffineur, G, Lagarde, M, Lannoy, P, Lapchin, J, Lapprand, M, Laude, D, Leblanc, R, Lecieux, P, Leclerc, N, Le Couteulx, C, Ledent, J, Lefebvre, J, Lefiliatre, P, Legrand, C, Le Grix, A, Lelong, P, Leluyer, B, Lenaerts, C, Lepileur, L, Leplat, A, Lepoutre-Dujardin, E, Leroi, H, Leroy, M Y, Lesage, J P, Lesage, X, Lesage, J, Lescanne-Darchis, I, Lescut, J, Lescut, D, Leurent, B, Levy, P, Lhermie, M, Lion, A, Lisambert, B, Loire, F, Louf, S, Louvet, A, Luciani, M, Lucidarme, D, Lugand, J, Macaigne, O, Maetz, D, Maillard, D, Mancheron, H, Manolache, O, Marks-Brunel, A B, Marti, R, Martin, F, Martin, G, Marzloff, E, Mathurin, P, Mauillon, J, Maunoury, V, Maupas, J L, Mesnard, B, Metayer, P, Methari, L, Meurisse, B, Meurisse, F, Michaud, L, Mirmaran, X, Modaine, P, Monthe, A, Morel, L, Mortier, P E, Moulin, E, Mouterde, O, Mudry, J, Nachury, M, N’Guyen Khac, E, Notteghem, B, Ollevier, V, Ostyn, A, Ouraghi, A, Ouvry, D, Paillot, B, Panien-Claudot, N, Paoletti, C, Papazian, A, Parent, B, Pariente, B, Paris, J C, Patrier, P, Paupart, L, Pauwels, B, Pauwels, M, Petit, R, Piat, M, Piotte, S, Plane, C, Plouvier, B, Pollet, E, Pommelet, P, Pop, D, Pordes, C, Pouchain, G, Prades, P, Prevost, A, Prevost, J C, Quesnel, B, Queuniet, A M, Quinton, J F, Rabache, A, Rabelle, P, Raclot, G, Ratajczyk, S, Rault, D, Razemon, V, Reix, N, Revillon, M, Richez, C, Robinson, P, Rodriguez, J, Roger, J, Roux, J M, Rudelli, A, Saber, A, Savoye, G, Schlosseberg, P, Segrestin, M, Seguy, D, Serin, M, Seryer, A, Sevenet, F, Shekh, N, Silvie, J, Simon, V, Spyckerelle, C, Talbodec, N, Techy, A, Thelu, J L, Thevenin, A, Thiebault, H, Thomas, J, Thorel, J M, Tielman, G, Tode, M, Toisin, J, Tonnel, J, Touchais, J Y, Touze, Y, Tranvouez, J L, Triplet, C, Turck, D, Uhlen, S, Vaillant, E, Valmage, C, Vanco, D, Vandamme, H, Vanderbecq, E, Vander Eecken, E, Vandermolen, P, Vandevenne, P, Vandeville, L, Vandewalle, A, Vandewalle, C, Vaneslander, P, Vanhoove, J P, Vanrenterghem, A, Varlet, P, Vasies, I, Verbiese, G, Vernier-Massouille, G, Vermelle, P, Verne, C, Vezilier-Cocq, P, Vigneron, B, Vincendet, M, Viot, J, Voiment, Y M, Wacrenier, A, Waeghemaecker, L, Wallez, J Y, Wantiez, M, Wartel, F, Weber, J, Willocquet, J L, Wizla, N, Wolschies, E, Zalar, A, Zaouri, B, Zellweger, A, and Ziade, C

Published
2019
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18. Dramatic Increase in Incidence of Ulcerative Colitis and Crohn's Disease (1988–2011): A Population-Based Study of French Adolescents

Author

Ghione, Silvia, primary, Sarter, Hélène, additional, Fumery, Mathurin, additional, Armengol-Debeir, Laura, additional, Savoye, Guillaume, additional, Ley, Delphine, additional, Spyckerelle, Claire, additional, Pariente, Benjamin, additional, Peyrin-Biroulet, Laurent, additional, Turck, Dominique, additional, Gower-Rousseau, Corinne, additional, Andre, J M, additional, Antonietti, M, additional, Aouakli, A, additional, Armand, A, additional, Aroichane, I, additional, Assi, F, additional, Aubet, J P, additional, Auxenfants, E, additional, Ayafi-Ramelot, F, additional, Bankovski, D, additional, Barbry, B, additional, Bardoux, N, additional, Baron, P, additional, Baudet, A, additional, Bazin, B, additional, Bebahani, A, additional, Becqwort, J P, additional, Benet, V, additional, Benali, H, additional, Benguigui, C, additional, Soussan, Ben E, additional, Bental, A, additional, Berkelmans, I, additional, Bernet, J, additional, Bernou, K, additional, Bernou-Dron, C, additional, Bertot, P, additional, Bertiaux-Vandaële, N, additional, Bertrand, V, additional, Billoud, E, additional, Biron, N, additional, Bismuth, B, additional, Bleuet, M, additional, Blondel, F, additional, Blondin, V, additional, Bohon, P, additional, Boniface, E, additional, Bonnière, P, additional, Bonvarlet, E, additional, Bonvarlet, P, additional, Boruchowicz, A, additional, Bostvironnois, R, additional, Boualit, M, additional, Bouche, B, additional, Boudaillez, C, additional, Bourgeaux, C, additional, Bourgeois, M, additional, Bourguet, A, additional, Bourienne, A, additional, Branche, J, additional, Bray, G, additional, Brazier, F, additional, Breban, P, additional, Brihier, H, additional, Brung-Lefebvre, V, additional, Bulois, P, additional, Burgiere, P, additional, Butel, J, additional, Canva, J Y, additional, Canva-Delcambre, V, additional, Capron, J P, additional, Cardot, F, additional, Carpentier, P, additional, Cartier, E, additional, Cassar, J F, additional, Cassagnou, M, additional, Castex, J F, additional, Catala, P, additional, Cattan, S, additional, Catteau, S, additional, Caujolle, B, additional, Cayron, G, additional, Chandelier, C, additional, Chantre, M, additional, Charles, J, additional, Charneau, T, additional, Chavance-Thelu, M, additional, Chirita, D, additional, Choteau, A, additional, Claerbout, J F, additional, Clergue, P Y, additional, Coevoet, H, additional, Cohen, G, additional, Collet, R, additional, Colombel, J F, additional, Coopman, S, additional, Corvisart, J, additional, Cortot, A, additional, Couttenier, F, additional, Crinquette, J F, additional, Crombe, V, additional, Dadamessi, I, additional, Dapvril, V, additional, Davion, T, additional, Dautreme, S, additional, Debas, J, additional, Degrave, N, additional, Dehont, F, additional, Delatre, C, additional, Delcenserie, R, additional, Delette, O, additional, Delgrange, T, additional, Delhoustal, L, additional, Delmotte, J S, additional, Demmane, S, additional, Deregnaucourt, G, additional, Descombes, P, additional, Desechalliers, J P, additional, Desmet, P, additional, Desreumaux, P, additional, Desseaux, G, additional, Desurmont, P, additional, Devienne, A, additional, Devouge, E, additional, Devred, M, additional, Devroux, A, additional, Dewailly, A, additional, Dharancy, S, additional, Di Fiore, A, additional, Djeddi, D, additional, Djedir, R, additional, Dreher-Duwat, M L, additional, Dubois, R, additional, Dubuque, C, additional, Ducatillon, P, additional, Duclay, J, additional, Ducrocq, B, additional, Ducrot, F, additional, Ducrotte, P, additional, Dufilho, A, additional, Duhamel, C, additional, Dujardin, D, additional, Dumant-Forest, C, additional, Dupas, J L, additional, Dupont, F, additional, Duranton, Y, additional, Duriez, A, additional, El Achkar, K, additional, El Farisi, M, additional, Elie, C, additional, Elie-Legrand, M C, additional, Elkhaki, A, additional, Eoche, M, additional, Evrard, D, additional, Evrard, J P, additional, Fatome, A, additional, Filoche, B, additional, Finet, L, additional, Flahaut, M, additional, Flamme, C, additional, Foissey, D, additional, Fournier, P, additional, Foutrein-Comes, M C, additional, Foutrein, P, additional, Fremond, D, additional, Frere, T, additional, Fumery, M, additional, Gallet, P, additional, Gamblin, C, additional, Ganga-Zandzou, P S, additional, Gérard, R, additional, Geslin, G, additional, Gheyssens, Y, additional, Ghossini, N, additional, Ghrib, S, additional, Gilbert, T, additional, Gillet, B, additional, Godard, D, additional, Godard, P, additional, Godchaux, J M, additional, Godchaux, R, additional, Goegebeur, G, additional, Goria, O, additional, Gottrand, F, additional, Gower, P, additional, Grandmaison, B, additional, Groux, M, additional, Guedon, C, additional, Guillard, J F, additional, Guillem, L, additional, Guillemot, F, additional, Guimber, D, additional, Haddouche, B, additional, Hakim, S, additional, Hanon, D, additional, Hautefeuille, V, additional, Heckestweiller, P, additional, Hecquet, G, additional, Hedde, J P, additional, Hellal, H, additional, Henneresse, P E, additional, Heyman, B, additional, Heraud, M, additional, Herve, S, additional, Hochain, P, additional, Houssin-Bailly, L, additional, Houcke, P, additional, Huguenin, B, additional, Iobagiu, S, additional, Ivanovic, A, additional, Iwanicki-Caron, I, additional, Janicki, E, additional, Jarry, M, additional, Jeu, J, additional, Joly, J P, additional, Jonas, C, additional, Katherin, F, additional, Kerleveo, A, additional, Khachfe, A, additional, Kiriakos, A, additional, Kiriakos, J, additional, Klein, O, additional, Kohut, M, additional, Kornhauser, R, additional, Koutsomanis, D, additional, Laberenne, J E, additional, Laffineur, G, additional, Lagarde, M, additional, Lannoy, P, additional, Lapchin, J, additional, Lapprand, M, additional, Laude, D, additional, Leblanc, R, additional, Lecieux, P, additional, Leclerc, N, additional, Le Couteulx, C, additional, Ledent, J, additional, 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Published
2018
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20. Testing for course patterns in Crohn's disease using clustering analysis

Author

Beaugerie, L., Le Quintrec, Y., Paris, J. C., Godchaux, J. M., Saint-Raymond, A., Schmitz, J., Ricour, C., Mohamed Mouloud Haddak, Diday, E., Université Pierre et Marie Curie - Paris 6 (UPMC), IFP Energies nouvelles (IFPEN), CEntre de REcherches en MAthématiques de la DEcision (CEREMADE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Perron, Nicolas, Université Paris Dauphine-PSL, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Adult, Male, Time Factors, Crohn Disease, [CHIM.ORGA]Chemical Sciences/Organic chemistry, Cluster Analysis, Humans, Female, France, Child, Prognosis, [CHIM.ORGA] Chemical Sciences/Organic chemistry, Retrospective Studies
Abstract

International audience; Using clustering analysis, we sought to identify groups of patients on the basis of the disease course among a population of 177 patients with Crohn's disease and followed for 3 years or more, starting from the first frank exacerbation of the disease. The first 36 values of a monthly clinical score represented the active variables of the clustering analysis. This method yielded 2 course groups, A and B, of 95 and 82 patients respectively. The unfavorable course in group A was characterized by the persistence of the clinically active disease at 3 years, whereas group B individuals achieved complete clinical remission within 2 years of onset on the average. Among the initially known clinical data which could explain the course, only the incidence of an occlusive syndrome was higher in group B, which showed a more favorable course. Although we applied clustering analysis to a patient sample over a period of only 3 years, our results do suggest the existence or 2 primary course groups within the population of patients with Crohn's disease. It would appear that the disease course cannot be predicted from the clinical parameters present at the time of onset, but rather becomes apparent during the course of the first 2 years.

Published
1989

21. Value of endoscopic ultrasonography and somatostatin receptor scintigraphy in the preoperative localization of insulinomas and gastrinomas. Experience of 54 cases,Valeurs de l'échoendoscopie et de la scintigraphie des récepteurs de la somatostatine dans la localisation pré-opératoire des insulinomes et gastrinomes. Expérience de 54 cas

Author

Mirallié, E., Pattou, F., Malvaux, P., Filoche, B., Godchaux, J. -M, Maunoury, V., Palazzo, L., Lefebvre, J., Damien Huglo, Paris, J. -C, Carnaille, B., and Proye, C.

22. Accidental Transorbital Penetrating Brainstem and Carotid Injury with CB Antenna: A Case Report.

Author

Hargrave K, Hoppe B, Wojak J, Sharkey P, Godchaux J Jr, and Diaz O

Subjects
Adult, Brain Stem injuries, Carotid Artery, Internal, Cerebral Angiography, Humans, Magnetic Resonance Imaging, Male, Tomography, X-Ray Computed, Aneurysm, False diagnostic imaging, Brain Stem diagnostic imaging, Carotid Artery Injuries diagnostic imaging, Carotid Artery, Internal, Dissection diagnostic imaging, Eye Injuries, Penetrating diagnostic imaging
Abstract

The authors present an unusual case of a transorbital penetrating injury of the internal carotid artery and brainstem. A young man accidentally ran into a 10-foot long citizens band (CB) antenna, and presented to the emergency department with nausea, dizziness and right periorbital ecchymosis. The nature and full extent of the injury were not appreciated at the time of initial examination and computed tomography scan. Magnetic resonance imaging subsequently demonstrated an unusual brainstem lesion. Neurology consultation was obtained. The neurologist and neuroradiologists reviewed the neurological and imaging findings together. This collaboration proved critical to understanding the true nature and extent of the injury and planning evaluation and treatment. Cerebral angiography revealed a traumatic internal carotid artery dissection and pseudoaneurysm, which was treated by placement of a covered stent. The clinical symptoms remained mild and 7-year follow up shows clinical and angiographic stability.

Published
2016

23. [Diagnostic work-up of mediastinal lymph nodes by trans-oesophageal endoscopic ultrasound and fine-needle aspiration].

Author

Dujon C, Barbieux H, Maunoury V, Godchaux JM, Lafitte JJ, and Marquette CH

Subjects
Adult, Aged, Female, Humans, Lymph Nodes diagnostic imaging, Lymphatic Diseases diagnosis, Male, Middle Aged, Radiography, Thoracic, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed, Biopsy, Needle, Endosonography methods, Lymph Nodes pathology, Lymphatic Diseases pathology, Lymphatic Metastasis pathology, Mediastinoscopy, Mediastinum
Abstract

Introduction: Trans-oesophageal endoscopic ultrasound (EUS) guided fine-needle aspiration (FNA) is a diagnostic technique allowing direct sampling of posterior mediastinum lymph nodes under continuous visual control. Main indications of this technique include the diagnostic work-up of isolated enlarged mediastinal lymph nodes or mediastinal lymph nodes associated with intrapulmonary lesions of unknown histology., Methods: Retrospective study of a series of consecutive patients who underwent EUS with FNA for diagnostic work-up of mediastinal lymph nodes in two department of respiratory diseases in northern France., Results: Nineteen patients were studied. Twenty-nine lymph nodes in the 5, 7 and 8 (ATS classification) areas were sampled. Mean mediastinal lymph node size was 24.3 mm (4-50 mm). The diagnostic yield was 68.7%. The sensitivity and specificity for malignancy were 91.7% and 100% respectively. There were no complications., Conclusion: Our study suggests that EUS with FNA is a safe and reliable diagnostic tool that could be incorporated into the diagnostic work-up of mediastinal lymphadenopathy.

Published
2003

24. Noninvasive imaging of insulinomas and gastrinomas with endoscopic ultrasonography and somatostatin receptor scintigraphy.

Author

Proye C, Malvaux P, Pattou F, Filoche B, Godchaux JM, Maunoury V, Palazzo L, Huglo D, Lefebvre J, and Paris JC

Subjects
Adolescent, Adult, Aged, Child, Female, Humans, Intraoperative Period, Male, Middle Aged, Predictive Value of Tests, Preoperative Care, Radionuclide Imaging, Sensitivity and Specificity, Endosonography, Gastrinoma diagnostic imaging, Insulinoma diagnostic imaging, Pancreatic Neoplasms diagnostic imaging, Receptors, Somatostatin analysis
Abstract

Background: Classic morphological techniques are of limited value for imaging endocrine duodenopancreatic tumors, and invasive procedures such as intraarterial stimulation are often used. Two noninvasive procedures, endoscopic ultrasonography (EUS) and somatostatin receptor scintigraphy (SRS), were recently described with promising results., Methods: In this study we correlated the results of preoperative EUS (n = 34) and SRS (n = 30) with operative findings in patients with histologically proven insulinoma (n = 20) or gastrinoma (n = 21)., Results: The sensitivity and positive predictive value (PPV) of EUS were respectively 77% and 94% for pancreatic tumors (insulinomas and gastrinomas), 40% and 100% for duodenal gastrinomas, and 58% and 78% for metastatic lymph nodes. The sensitivity and PPV of SRS for insulinoma were 60% and 100%, respectively. In patients with gastrinoma, the sensitivity and PPV of SRS were respectively 25% and 100% for pancreatic gastrinomas, 72% and 100% for duodenal gastrinomas or periduodenal metastatic lymph nodes, and 67% and 80% for liver metastasis. In patients with multiple endocrine neoplasia, neither one of the two techniques detected all tumors. Overall sensitivity of combined EUS and SRS was 89% for insulinoma (n = 9) and 93% for gastrinoma (n = 14)., Conclusions: EUS and SRS for gastrinomas and insulinomas should be considered as the initial preoperative imaging procedures and may render invasive procedures unnecessary for most patients.

Published
1998
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25. Testing for course patterns in Crohn's disease using clustering analysis.

Author

Beaugerie L, Le Quintrec Y, Paris JC, Godchaux JM, Saint-Raymond A, Schmitz J, Ricour C, Haddak M, and Diday E

Subjects
Adult, Child, Cluster Analysis, Crohn Disease classification, Crohn Disease physiopathology, Female, France epidemiology, Humans, Male, Prognosis, Retrospective Studies, Time Factors, Crohn Disease epidemiology
Abstract

Using clustering analysis, we sought to identify groups of patients on the basis of the disease course among a population of 177 patients with Crohn's disease and followed for 3 years or more, starting from the first frank exacerbation of the disease. The first 36 values of a monthly clinical score represented the active variables of the clustering analysis. This method yielded 2 course groups, A and B, of 95 and 82 patients respectively. The unfavorable course in group A was characterized by the persistence of the clinically active disease at 3 years, whereas group B individuals achieved complete clinical remission within 2 years of onset on the average. Among the initially known clinical data which could explain the course, only the incidence of an occlusive syndrome was higher in group B, which showed a more favorable course. Although we applied clustering analysis to a patient sample over a period of only 3 years, our results do suggest the existence or 2 primary course groups within the population of patients with Crohn's disease. It would appear that the disease course cannot be predicted from the clinical parameters present at the time of onset, but rather becomes apparent during the course of the first 2 years.

Published
1989

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