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Godin O, Leboyer M, Mazroui Y, Aouizerate B, Azorin JM, Raoul B, Bellivier F, Polosan M, Courtet P, Dubertret C, Henry C, Kahn JP, Loftus J, Olié E, Passerieux C, Costagliola D, Etain B, Llorca P, Barteau V, Bensalem S, Laaidi M, Laouamri H, Souryis K, Hotier S, Pelletier A, Drancourt N, Sanchez J, Saliou E, Hebbache C, Petrucci J, Willaume L, Bourdin E, Carminati M, Etain B, Marlinge E, Meheust J, Antoniol B, Desage A, Gard S, Jutant A, Mbailara K, Minois I, Zanouy L, Abettan C, Bardin L, Cazals A, Deffinis B, Ducasse D, Gachet M, Henrion A, Martinerie E, Molière F, Noisette B, Tarquini G, Belzeaux R, Correard N, Consoloni JL, Groppi F, Lescalier L, Montant J, Rebattu M, Viglianese N, Cohen R, Milazzo M, Wajsbrot-Elgrabli O, Bougerol T, Fredembach B, Garçon S, Grignon P, Perrin A, Galliot A, Grévin I, Cannavo A, Kayser N, Roux P, Aubin V, Cussac I, Dupont M, Medecin I, Mazer N, Portalier C. Trajectories of functioning in bipolar disorders: A longitudinal study in the FondaMental Advanced Centers of Expertise in Bipolar Disorders cohort. Aust N Z J Psychiatry 2020; 54:985-996. [PMID: 32779531 DOI: 10.1177/0004867420945796] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVE We aimed at identifying distinct trajectories of functioning and at describing their respective clinical characteristics in a cohort of individuals with bipolar disorders. METHODS We included a sample of 2351 individuals with bipolar disorders who have been followed-up to 3 years as part as the FondaMental Advanced Centers of Expertise in Bipolar Disorders cohort. Global functioning was measured using the Functioning Assessment Short Test. We used latent class mixed models to identify distinct longitudinal trajectories of functioning over 3 years. Multivariable logistic regression models were used to identify the baseline factors that were associated with the membership to each trajectory of functioning. RESULTS Three distinct trajectories of functioning were identified: (1) a majority of individuals (72%) had a stable trajectory of mild functional impairment, (2) 20% of individuals had a stable trajectory of severe functional impairment and (3) 8% of individuals had a trajectory of moderate functional impairment that improved over time. The membership to a trajectory of stable severe versus stable mild functional impairment was associated with unemployment, a higher number of previous hospitalizations, childhood maltreatment, a higher level of residual depressive symptoms, higher sleep disturbances, a higher body mass index and a higher number of psychotropic medications being prescribed at baseline. The model that included these seven factors led to an area under the curve of 0.85. CONCLUSION This study enabled to stratify individuals with bipolar disorders according to three distinct trajectories of functioning. The results regarding the potential determinants of the trajectory of severe functional impairment needs to be replicated in independent samples. Nevertheless, these potential determinants may represent possible therapeutic targets to improve the prognosis of those patients at risk of persistent poor functioning.
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Affiliation(s)
- Ophelia Godin
- Fondation FondaMental, Créteil, France.,Université Paris Est Créteil, Inserm U955, IMRB, Laboratoire Neuro-Psychiatrie Translationnelle, Créteil, France.,AP-HP, HU Henri Mondor, Departement Medico-Universitaire de Psychiatrie et d'Addictologie (DMU ADAPT), Federation Hospitalo-Universitaire de Médecine de Precision (FHU IMPACT), Paris, France
| | - Marion Leboyer
- Fondation FondaMental, Créteil, France.,Université Paris Est Créteil, Inserm U955, IMRB, Laboratoire Neuro-Psychiatrie Translationnelle, Créteil, France.,AP-HP, HU Henri Mondor, Departement Medico-Universitaire de Psychiatrie et d'Addictologie (DMU ADAPT), Federation Hospitalo-Universitaire de Médecine de Precision (FHU IMPACT), Paris, France
| | - Yassin Mazroui
- Laboratoire de Probabilités, Statistiques et Modélisation (LPSM), Sorbonne Université, Paris, France
| | - Bruno Aouizerate
- Fondation FondaMental, Créteil, France.,Centre Expert Troubles Bipolaires, Service de Psychiatrie Adulte, Hôpital Charles-Perrens, Bordeaux, France
| | - Jean-Michel Azorin
- Fondation FondaMental, Créteil, France.,Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France.,CNRS Aix-Marseille Université, Marseille, France
| | - Belzeaux Raoul
- Fondation FondaMental, Créteil, France.,Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France.,CNRS Aix-Marseille Université, Marseille, France
| | - Frank Bellivier
- Fondation FondaMental, Créteil, France.,Assistance Publique des Hôpitaux de Paris (AP-HP), GHU Saint-Louis-Lariboisière-Fernand Widal, DMU Neurosciences, Département de Psychiatrie et de Médecine Addictologique, INSERM UMRS 1144, Université de Paris, Paris, France
| | - Mircea Polosan
- Fondation FondaMental, Créteil, France.,Université Grenoble Alpes, CHU de Grenoble et des Alpes, Grenoble Institut des Neurosciences (GIN) Inserm U1216, Grenoble, France
| | - Philippe Courtet
- Fondation FondaMental, Créteil, France.,Département Urgence et Post-urgence Psychiatrique, CHU Montpellier, INSERM U1061, Université de Montpellier, Montpellier, France
| | - Caroline Dubertret
- Fondation FondaMental, Créteil, France.,AP-HP, Groupe Hospitalo-Universitaire Nord, DMU ESPRIT, Service de Psychiatrie et Addictologie, Hopital Louis Mourier, Colombes, Inserm U1266, Faculté de Médecine, Université de Paris, Paris, France
| | - Chantal Henry
- Fondation FondaMental, Créteil, France.,Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, Paris, France
| | - Jean-Pierre Kahn
- Fondation FondaMental, Créteil, France.,Université de Lorraine, CHRU de Nancy et Pôle de Psychiatrie et Psychologie Clinique, Centre Psychothérapique de Nancy, Nancy, France
| | - Josephine Loftus
- Fondation FondaMental, Créteil, France.,Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco, France
| | - Emilie Olié
- Fondation FondaMental, Créteil, France.,Département Urgence et Post-urgence Psychiatrique, CHU Montpellier, INSERM U1061, Université de Montpellier, Montpellier, France
| | - Christine Passerieux
- Fondation FondaMental, Créteil, France.,Service Universitaire de Psychiatrie d'Adultes, Centre Hospitalier de Versailles, Le Chesnay, Université Paris-Saclay, UVSQ, Inserm, CESP, Team 'DevPsy', Villejuif, France
| | - Dominique Costagliola
- INSERM, Sorbonne Université, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP), Paris, France
| | - Bruno Etain
- Fondation FondaMental, Créteil, France.,Assistance Publique des Hôpitaux de Paris (AP-HP), GHU Saint-Louis-Lariboisière-Fernand Widal, DMU Neurosciences, Département de Psychiatrie et de Médecine Addictologique, INSERM UMRS 1144, Université de Paris, Paris, France
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Nguyen-Khac E, Chatelain D, Tramier B, Decrombecque C, Robert B, Joly JP, Brevet M, Grignon P, Lion S, Le Page L, Dupas JL. Assessment of asymptomatic liver fibrosis in alcoholic patients using fibroscan: prospective comparison with seven non-invasive laboratory tests. Aliment Pharmacol Ther 2008; 28:1188-98. [PMID: 18705692 DOI: 10.1111/j.1365-2036.2008.03831.x] [Citation(s) in RCA: 141] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Systematic screening for liver fibrosis in heavy-drinking patients is a challenge. Aims To assess Fibroscan for non-invasive diagnosis of asymptomatic liver fibrosis in alcohol abuse patients, to determine diagnostic liver stiffness cut-off values and to compare performance of Fibroscan with seven non-invasive laboratory tests. METHODS One hundred and three alcoholic patients were studied. Liver fibrosis was staged by METAVIR system. Fibroscan, Fibrotest, Fibrometer, Hepascore, APRI, PGA, PGAA and hyaluronic acid tests were performed. Liver stiffness cut-offs were determined using receiver-operating characteristic (ROC) curves. RESULTS Liver stiffness was correlated with fibrosis (r = 0.72, P < 0.014), with median at 5.7, 6.3, 8.4, 15 and 47.3 kPa for F0 (n = 8), F1 (n = 18), F2 (n = 24), F3 (n = 20) and F4 (n = 33) stage fibrosis respectively. For Fibroscan, areas under ROC curves (AUROCs) were 0.84 (95% CI: 0.73-0.95) (F > or = 1), 0.91 (0.85-0.98) (F > or = 2), 0.90 (0.82-0.97) (F > or = 3) and 0.92 (0.87-0.98) (F = 4), yielding diagnostic stiffness cut-offs of 5.9 (F > or = 1), 7.8 (F > or = 2), 11 (F > or = 3) and 19.5 (F4) kPa. Sensitivity, specificity, PPV and NPV were 80%, 90.5%, 93% and 70% for F > or = 2, and 85.7%, 84.2%, 68.6% and 87.9% for F = 4. Performance of Fibroscan was higher than seven laboratory tests, for which AUROCs ranged from 0.66 to 0.77 (F > or = 1), from 0.54 to 0.82 (F > or = 2), from 0.43 to 0.88 (F > or = 3) and from 0.56 to 0.89 (F = 4), with significant difference only vs. APRI (P < 0.001) and Hepascore (P = 0.04). Combining Fibroscan with each tests did not improve performance. CONCLUSIONS Fibroscan is effective to assess liver fibrosis in alcoholic patients. Instant screening of liver fibrosis in heavy drinkers is feasible without liver biopsy.
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Affiliation(s)
- E Nguyen-Khac
- Department of Hepato-Gastroenterology, Amiens University Hospital, Place Victor Pauchet, F-80054 Amiens, France.
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