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Next seminars

30 avril 2019 Nathalie Pelletier-Fleury (DR Inserm, Centre de recherche en Epidémiologie et Santé des Populations, UMR 1018) La surmédicalisation dans la maladie d'Alzheimer.

23 mai 2019 Florian Naudet Obtenir l'AMM pour les nuls. Chapitre 1, les méta-analyses

Last publications

09 avril 2019 Rouquette A, Hardouin JB, Vanhaesebrouck A, Sébille V, Coste J (2019) Differential Item Functioning (DIF) in composite health measurement scale: recommendations for characterizing DIF with meaningful consequences within the Rasch model framework.. PLOS One, 14(4): e0215073.

15 mars 2019 Quénéhervé L, David G, Bourreille , Hardouin JB, Rahmi G, Neunlist M, Brégeon J, Coron E (2019) Quantitative assessment of mucosal architecture using computer-based analysis of confocal laser endomicroscopy in inflammatory bowel diseases. Gastrointestinal Endoscopy, 89(3): 626-636.

07 mars 2019 Prudhomme T, Dajean-Trutaud S, Rousselet M, Feuillet F, Carpentier-Cheraud M, Bonnot O, Hyon I, Grall-Bronnec M, Lopez-Cazaux S, Victorri-Vigneau C (2019) The MEOPAeDent trial protocol—an observational study of the Equimolar Mixture of Oxygen and Nitrous Oxide (EMONO) effects in paediatric dentistry. BMC Oral Health, 19: 42.

01 mars 2019 Leducq S, Giraudeau B, Tavernier E, Maruani A (2019) Topical use of mammalian target of rapamycin inhibitors in dermatology: A systematic review with meta-analysis. J Am Acad Dermatol, 80(3): 735-42.

01 mars 2019 Fournier MC, Foucher Y, Blanche P, Legendre C, Girerd S, Ladrière M, Morelon E, Buron F, Rostaing L, Kamar N, Mourad G, Garrigue V, Couvrat-Desvergnes G, Giral M, Dantan E (2019) Dynamic predictions of long-term kidney graft failure: an information tool promoting patient-centred care.. Nephrology Dialysis Transplantation: .

Updated

15 avril 2019

Typology of care trajectories of addicts in the EVALADD cohort: growth mixture modeling coupled with latent class analysis

Stagiaire

Montourcy Marion - Stagiaire M2 - M2 MPCE
Formation d'origine : M2 Modélisation en Pharmacologie Clinique et Epidémiologie (MPCE)

Résumé

Purpose: The goal of our work was to establish trajectories on patients with behavioral addictions and who beginning care in order to identify typical trajectories and to specify determining factors in the clinical evolution.

Methods: We analyzed 3 follow-ups (initial visit, 6 months and 12 months). Thus 302 patients completed these 3 follow-ups. Trajectories were realized to regroup patients according to their evolution for each score. From these trajectories and by adding comorbidities, latent classes were created to identify typologies of patients. A description of the classes was made based on socio-demographic data and more specific scores related to behavioral addictions and psychopathology.

Results: Five classes were created with one class distinguished more particularly on its addiction severity and complexity (“complex addicts”). Other 4 classes show less difference and 4 profiles emerged: “impulsive addicts”, “complex addicts”,” cooperative addicts”, “immature addicts” and “resilient addicts”.

Conclusion: Our analyzes did not show a gathering of addictions about patient profiles between classes but rather a classification based on patient’s profiles.

Keywords: behavioral addiction – growth mixture model – latent class analyses – typology

Personnes impliquées

Co-encadrant: Hardouin Jean-Benoit

Co-encadrant: Challet Gaelle

Financement

IFAC

Projet(s) associé(s)

EVALJEU : Suivi d’une cohorte de joueurs pathologiques débutant des soins dans le service d’Addictologie du CHU de Nantes. Etude clinique, monocentrique, prospective, non contrôlée

Période

Début : Avril 2015

Fin : Septembre 2015