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18 décembre 2018 à définir à définir

18 janvier 2019 à définir à définir

Last publications

01 décembre 2018 Victorri-Vigneau C, Verstuyft C, Laforgue E, Bouquié R, Hardouin JB, Leboucher J, Challet G, Grall-Bronnec M (2018) Impact du polymorphisme du CYP2B6 sur la pharmacocinétique et la réponse clinique de sujets recevant de la méthadone. Thérapie, 73(6): 563.

01 décembre 2018 Caillet P, Poirier M, Grall-Bronnec M, Marchal E, Pintas C, Wylomanski S, Winer N, Jolliet P, Victorri-Vigneau C (2018) Consommation de kaolin parmi les femmes migrantes en France métropolitaine : PICA ou dépendance ?. Thérapie, 73(6): 578.

23 novembre 2018 Kern L, Godart N, Tailhardat L, Peguet A, Grall-Bronnec M, Fautrelle L (2018) A latent profile analysis revealed different categories of patients in anorexia nervosa: proposal of guidelines in adapted physical activity . Movement & Sport Sciences - Science & Motricit: under press.

15 novembre 2018 Montourcy M, Hardouin JB, Caillon J, Leboucher J, Rousselet M, Grall-Bronnec M, Challet G (2018) Typology of patients with behavioral addictions or eating disorders during a one-year period of care: exploring similarities of trajectory using growth mixture modeling coupled with latent class analysis . PlosONE, 13(11): e0207398.

15 novembre 2018 Petitpain N, Argoullon L, Masmoudi K, Fedrizzi S, Cottin J, Latarche C, Mertes P, Gillet P, French Network of Regional Pharmacovigilance Centres (2018) Neuromuscular blocking agents induced anaphylaxis: Results and trends of a French pharmacovigilance survey from 2000 to 2012. Allergy, 73(11): 2224-33.

Updated

06 décembre 2018

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