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Next seminars

28 février 2019 Marianne Bourdon et Cédric Faquet état des lieux des différentes méthodes d’analyse qualitative

29 mars 2019 à définir à définir

Last publications

15 février 2019 Goldstein C, Giraudeau B, Weijer C, Taljaard M (2019) In reply: When and how should we cluster and cross over: methodological and ethical issues (letters 1 and 2). Can J Anaesth, 66(2): 239-40.

01 février 2019 Cornillier H, Giraudeau B, Samimi M, Munck S, Hacard F, Jonville-Bera AP, Jegou M, d'Acremont G, Pham B, Chosidow O, Maruani A (2019) Effect of Diet in Chronic Spontaneous Urticaria: A Systematic Review. Acta Derm Venereol, 99(2): 127-32.

01 février 2019 Hanson C, Sautenet B, Craig J, Chapman J, Knoll G, Reddy B, Tong A (2019) Informative for Decision-making? The Spectrum and Consistency of Outcomes Following Living Kidney Donation Reported in Trials and Observational Studies. Transplantation, 103(2): 284-90.

31 janvier 2019 El Habnouni C, Cornillier H, Tauveron V, Guyétant S, Maruani A (2019) Rapidly Growing Tumour on the Forearm of an 83-year-old Woman: A Quiz. Acta Derm Venereol, 99(1): 121-2.

31 janvier 2019 Tallegas M, Fraitag S, Binet A, Orbach D, Jourdain A, Reynaud S, Pierron G, Machet M, Maruani A (2019) Novel KHDRBS1-NTRK3 rearrangement in a congenital pediatric CD34-positive skin tumor: a case report. Virchows Arch, 474(1): 111-5.

Updated

20 février 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