24 results on '"Holtzmann, Jérôme"'
Search Results
2. Indirect effect of impulsivity on suicide risk through self-esteem and depressive symptoms in a population with treatment-resistant depression: A FACE-DR study
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Salles, Juliette, Stephan, Florian, Molière, Fanny, Bennabi, Djamila, Haffen, Emmanuel, Bouvard, Alexandra, Walter, Michel, Allauze, Etienne, Llorca, Pierre Michel, Genty, Jean Baptiste, Leboyer, Marion, Holtzmann, Jérôme, Nguon, Anne Sophie, D'Amato, Thierry, Rey, Romain, Horn, Mathilde, Vaiva, Guillaume, Fond, Guillaume, Richieri, Raphaelle, Hennion, Vincent, Etain, Bruno, El-Hage, Wissam, Camus, Vincent, Courtet, Philippe, Aouizerate, Bruno, and Yrondi, Antoine
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- 2024
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3. Long-term benzodiazepine prescription in treatment-resistant depression: A national FACE-TRD prospective study
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Fond, Guillaume, Faugere, Mélanie, Boyer, Laurent, Peri, Pauline, Stephan, Florian, Moliere, Fanny, Anguill, Loic, Bennabi, Djamila, Haffen, Emmanuel, Bouvard, Alexandra, Walter, Michel, Samalin, Ludovic, Llorca, Pierre Michel, Genty, Jean Baptiste, Leboyer, Marion, Holtzmann, Jérôme, Nguon, Anne Sophie, Rey, Romain, Horn, Mathilde, Vaiva, Guillaume, Hennion, Vincent, Etain, Bruno, El-Hage, Wissam, Camus, Vincent, Courtet, Philippe, Aouizerate, Bruno, Yrondi, Antoine, Lancon, Christophe, and Richieri, Raphaelle
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- 2023
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4. Diurnal symptoms of sleepiness and dysfunction predict future suicidal ideation in a French cohort of outpatients (FACE-DR) with treatment resistant depression: A 1-year prospective study about sleep markers
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Maruani, Julia, Molière, Fanny, Godin, Ophelia, Yrondi, Antoine, Bennabi, Djamila, Richieri, Raphaelle, El-Hage, Wissan, Allauze, Etienne, Anguill, Loic, Bouvard, Alexandra, Camus, Vincent, Dorey, Jean-Michel, Etain, Bruno, Fond, Guillaume, Genty, Jean-Baptiste, Haffen, Emmanuel, Holtzmann, Jérôme, Horn, Mathilde, Kazour, François, Nguon, Anne-Sophie, Petrucci, Jean, Rey, Romain, Stephan, Florian, Vaiva, Guillaume, Walter, Michel, Lejoyeux, Michel, Leboyer, Marion, Llorca, Pierre-Michel, Courtet, Philippe, Aouizerate, Bruno, and Geoffroy, Pierre A.
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- 2023
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5. Recommendations of the treatment-resistant depression expert center network for promoting tobacco smoking cessation based on the results from the real-world FACE-TRD national cohort
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Korchia, Théo, Faugere, Mélanie, Suc, Nicolas, Garosi, Alexandra, Andrieu-Haller, Christelle, Breyton, Martin, Godin, Ophélia, Aouizerate, Bruno, Arbus, Christophe, Bennabi, Djamila, Bellivier, Frank, Bougerol, Thierry, Camus, Vincent, Courtet, Philippe, Doumy, Olivier, El-Hage, Wissam, Genty, Jean-Baptiste, Haffen, Emmanuel, Holtzmann, Jérome, Horn, Mathilde, Leboyer, Marion, Llorca, Pierre-Michel, Maruani, Julia, Moirand, Rémi, Moliere, Fanny, Petrucci, Jean, Rey, Romain, Samalin, Ludovic, Stephan, Florian, Vaiva, Guillaume, Walter, Michel, Yrondi, Antoine, Boyer, Laurent, Lancon, Christophe, Richieri, Raphaelle, and Fond, Guillaume
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- 2022
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6. Childhood Trauma increases suicidal behaviour in a treatment-resistant depression population: a FACE-DR report
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Aouizerate, B., Bennabi, D., Leboyer, M., Haffen, E., Llorca, P.M., Barteau, V., Bensalem, S., Laouamri, H., Souryis, Karmene, Mallet, L., Yon, L., Petrucci, J., Genty, J.B., Yrondi, A., Pierre, D., Schmitt, L., Sarrail, M., Bennabi, Djamila, Ryff, I., Beuchet, E., Tio, G., Cappe, C., Clerc, E., Garnier, M., Honciuc, R.M., Allauze, E., Blanc, O., Bellivier, F., Allaili, N., Nieto, I., Meheust, J., Sunthavy, Y., Maruani, J., Bougerol, T., Polosan, M., Courvoisier, P., Holtzmann, J., Fredembach, B., Foubert-Andreani, S., Camus, V., El Hage, W., D’Amato, T., Haesebaert, F., Dubien, C., Lefebvre, M., Meznad, A., Brunelin, J., Moirand, R., Doumy, O., Lancon, C., Richieri, R., Peri, P., Faugere, M., Faget-Agius, C., Courtet, P., Boulenger, J.P., Moliere, F., Stephan, F., Walter, M., Mesmeur, C., Vaiva, G., Horn, M., Yrondi, Antoine, Vaiva, Guillaume, Walter, Michel, D Amato, Thierry, Bellivier, Frank, Bougerol, Thierry, Camus, Vincent, Doumy, Olivier, Genty, Jean-Baptiste, Haffen, Emmanuel, Holtzmann, Jérôme, Horn, Mathilde, Lançon, Christophe, Leboyer, Marion, Llorca, Pierre-Michel, Maruani, Julia, Moirand, Rémi, Molière, Fanny, Petrucci, Jean, Richieri, Raphaelle, Samalin, Ludovic, Schmitt, Laurent, Stephan, Florian, Courtet, Philippe, El-Hage, Wissam, and Aouizerate, Bruno
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- 2021
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7. Short- and long-term efficacy of electroconvulsive stimulation in animal models of depression: The essential role of neuronal survival
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Jonckheere, Julie, Deloulme, Jean-Christophe, Dall’Igna, Gaëlle, Chauliac, Nicolas, Pelluet, Albane, Nguon, Anne-Sophie, Lentini, Celia, Brocard, Jacques, Denarier, Eric, Brugière, Sabine, Couté, Yohann, Heinrich, Christophe, Porcher, Christophe, Holtzmann, Jérôme, Andrieux, Annie, Suaud-Chagny, Marie-Françoise, and Gory-Fauré, Sylvie
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- 2018
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8. Evolution of Cognitive Impairments in Treatment-Resistant Depression: Results from the Longitudinal French Centers of Expertise for Treatment-Resistant Depression (FACE-DR) Cohort.
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Vancappel, Alexis, Dansou, Yecodji, Godin, Ophelia, Haffen, Emmanuel, Yrondi, Antoine, Stephan, Florian, Richieri, Raphaelle Marie, Molière, Fanny, Holtzmann, Jérôme, Horn, Mathilde, Allauze, Etienne, Genty, Jean Baptiste, Bouvard, Alex, Dorey, Jean-Michel, Hennion, Vincent, Camus, Vincent, Fond, Guillaume, Peran, Barbara, Walter, Michel, and Anguill, Loic
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COGNITION disorders ,COGNITIVE remediation ,MEMORY span ,EXPERTISE ,NEUROPSYCHOLOGICAL tests ,MENTAL arithmetic - Abstract
Previous studies set out profound cognitive impairments in subjects with treatment-resistant depression (TRD). However, little is known about the course of such alterations depending on levels of improvement in those patients followed longitudinally. The main objective of this study was to describe the course of cognitive impairments in responder versus non-responder TRD patients at one-year follow-up. The second aim was to evaluate the predictive aspect of cognitive impairments to treatment resistance in patients suffering from TRD. We included 131 patients from a longitudinal cohort (FACE-DR) of the French Network of Expert TRD Centers. They undertook comprehensive sociodemographic, clinical, global functioning, and neuropsychological testing (TMT, Baddeley task, verbal fluencies, WAIS-4 subtests, D2 and RLRI-16) at baseline (V0) and one-year follow-up (V1). Most patients (n = 83; 63.36%) did not respond (47 women, 49.47 ± 12.64 years old), while one-third of patients responded (n = 48, 30 women, 54.06 ± 12.03 years old). We compared the cognitive performances of participants to average theoretical performances in the general population. In addition, we compared the cognitive performances of patients between V1 and V0 and responder versus non-responder patients at V1. We observed cognitive impairments during the episode and after a therapeutic response. Overall, each of them tended to show an increase in their cognitive scores. Improvement was more prominent in responders at V1 compared to their non-responder counterparts. They experienced a more marked improvement in code, digit span, arithmetic, similarities, and D2 tasks. Patients suffering from TRD have significant cognitive impairments that persist but alleviate after therapeutic response. Cognitive remediation should be proposed after therapeutic response to improve efficiency and increase the daily functioning. [ABSTRACT FROM AUTHOR]
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- 2023
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9. Effect of sleep disturbance symptoms on treatment outcome in blended CBT for depression: A secondary analysis of the E-COMPARED study
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Jensen, Esben Skov, Ladegaard, Nicolai, Mellentin, Angelina Isabella, Ebert, David Daniel, Titzler, Ingrid, Araya, Ricardo, Cerga Pahoja, Arlinda, Hazo, Jean-Baptiste, Holtzmann, Jérôme, Cieslak, Roman, Smoktunowicz, Ewelina, Baños, Rosa, Herrero, Rocio, García-Palacios, Azucena, Botella, Cristina, Berger, Thomas, Krieger, Tobias, Holmberg, Trine Theresa, Topooco, Naira, Andersson, Gerhard, van Straten, Annemieke, Kemmern, Lise, Kleiboer, Annet, Riper, Heleen, and Mathiasen, Kim
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610 Medicine & health - Abstract
Background: Sleep disturbance symptoms are common in major depressive disorder (MDD) and have been found to hamper the treatment effect of conventional face-to-face psychological treatments such as cognitive behavioral therapy. To increase the dissemination of evidence-based treatment, blended cognitive behavioral therapy (bCBT) consisting of web-based and face-to-face treatment is on the rise for patients with MDD. To date, no study has examined whether sleep disturbance symptoms have an impact on bCBT treatment outcomes and whether it affects bCBT and treatment-as-usual (TAU) equally. Objective: The objectives of this study are to investigate whether baseline sleep disturbance symptoms have an impact on treatment outcomes independent of treatment modality and whether sleep disturbance symptoms impact bCBT and TAU in routine care equally. Methods: The study was based on data from the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment Versus Treatment-as-Usual) study, a 2-arm, multisite, parallel randomized controlled, noninferiority trial. A total of 943 outpatients with MDD were randomized to either bCBT (476/943, 50.5%) or TAU consisting of routine clinical MDD treatment (467/943, 49.5%). The primary outcome of this study was the change in depression symptom severity at the 12-month follow-up. The secondary outcomes were the change in depression symptom severity at the 3- and 6-month follow-up and MDD diagnoses at the 12-month follow-up, assessed using the Patient Health Questionnaire-9 and Mini-International Neuropsychiatric Interview, respectively. Mixed effects models were used to examine the association of sleep disturbance symptoms with treatment outcome and treatment modality over time. Results: Of the 943 patients recruited for the study, 558 (59.2%) completed the 12-month follow-up assessment. In the total sample, baseline sleep disturbance symptoms did not significantly affect change in depressive symptom severity at the 12-month follow-up (β=.16, 95% CI –0.04 to 0.36). However, baseline sleep disturbance symptoms were negatively associated with treatment outcome for bCBT (β=.49, 95% CI 0.22-0.76) but not for TAU (β=–.23, 95% CI −0.50 to 0.05) at the 12-month follow-up, even when adjusting for baseline depression symptom severity. The same result was seen for the effect of sleep disturbance symptoms on the presence of depression measured with Mini-International Neuropsychiatric Interview at the 12-month follow-up. However, for both treatment formats, baseline sleep disturbance symptoms were not associated with depression symptom severity at either the 3- (β=.06, 95% CI −0.11 to 0.23) or 6-month (β=.09, 95% CI −0.10 to 0.28) follow-up. Conclusions: Baseline sleep disturbance symptoms may have a negative impact on long-term treatment outcomes in bCBT for MDD. This effect was not observed for TAU. These findings suggest that special attention to sleep disturbance symptoms might be warranted when MDD is treated with bCBT. Future studies should investigate the effect of implementing modules specifically targeting sleep disturbance symptoms in bCBT for MDD to improve long-term prognosis.
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- 2022
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10. A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood.
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van Genugten, Claire R., Schuurmans, Josien, Hoogendoorn, Adriaan W., Araya, Ricardo, Andersson, Gerhard, Baños, Rosa M., Berger, Thomas, Botella, Cristina, Cerga Pashoja, Arlinda, Cieslak, Roman, Ebert, David D., García-Palacios, Azucena, Hazo, Jean-Baptiste, Herrero, Rocío, Holtzmann, Jérôme, Kemmeren, Lise, Kleiboer, Annet, Krieger, Tobias, Rogala, Anna, and Titzler, Ingrid
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ECOLOGICAL momentary assessments (Clinical psychology) ,MENTAL depression ,MENTAL health services ,MOOD (Psychology) ,SMARTPHONES ,COGNITIVE therapy - Abstract
Background: Although major depressive disorder (MDD) is characterized by a pervasive negative mood, research indicates that the mood of depressed patients is rarely entirely stagnant. It is often dynamic, distinguished by highs and lows, and it is highly responsive to external and internal regulatory processes. Mood dynamics can be defined as a combination of mood variability (the magnitude of the mood changes) and emotional inertia (the speed of mood shifts). The purpose of this study is to explore various distinctive profiles in real-time monitored mood dynamics among MDD patients in routine mental healthcare. Methods: Ecological momentary assessment (EMA) data were collected as part of the cross-European E-COMPARED trial, in which approximately half of the patients were randomly assigned to receive the blended Cognitive Behavioral Therapy (bCBT). In this study a subsample of the bCBT group was included (n = 287). As part of bCBT, patients were prompted to rate their current mood (on a 1–10 scale) using a smartphone-based EMA application. During the first week of treatment, the patients were prompted to rate their mood on three separate occasions during the day. Latent profile analyses were subsequently applied to identify distinct profiles based on average mood, mood variability, and emotional inertia across the monitoring period. Results: Overall, four profiles were identified, which we labeled as: (1) "very negative and least variable mood" (n = 14) (2) "negative and moderate variable mood" (n = 204), (3) "positive and moderate variable mood" (n = 41), and (4) "negative and highest variable mood" (n = 28). The degree of emotional inertia was virtually identical across the profiles. Conclusions: The real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia. [ABSTRACT FROM AUTHOR]
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- 2022
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11. Prevalence of Metabolic Syndrome and Associated Factors in a Cohort of Individuals With Treatment-Resistant Depression
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Godin, Ophelia, Bennabi, Djamila, Yrondi, Antoine, Richieri, Raphaëlle, D’amato, Thierry, Bellivier, Franck, Bougerol, Thierry, Horn, Mathilde, Camus, Vincent, Courtet, Philippe, Doumy, Olivier, Genty, Jean Baptiste, El-Hage, Wissam, Haesebaert, Frédéric, Holtzmann, Jérôme, Lançon, Christophe, Leboyer, Marion, Llorca, Pierre Michel, Maruani, Julia, Moliere, Fanny, Samalin, Ludovic, Schmitt, Laurent, Stéphan, Florian, Vaiva, Guillaume, Walter, Michel, Aouizerate, Bruno, Haffen, Emmanuel, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Fondation FondaMental [Créteil], Université Bourgogne Franche-Comté [COMUE] (UBFC), Laboratoire de Neurosciences Intégratives et Cliniques - UFC (UR 481) (NEURO), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital de la Conception [CHU - APHM] (LA CONCEPTION), Centre Hospitalier le Vinatier [Bron], Neurobiologie et Psychiatrie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Grenoble Institut des Neurosciences (GIN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire [Grenoble] (CHU), Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 (SCALab), Université de Lille-Centre National de la Recherche Scientifique (CNRS), CHU Trousseau [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuro-Psycho Pharmacologie des Systèmes Dopimanégiques sous-corticaux (NPsy-Sydo), CHU Clermont-Ferrand-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Université Paris Descartes - Faculté de Médecine (UPD5 Médecine), Université Paris Descartes - Paris 5 (UPD5), CHU Toulouse [Toulouse], Hopital de Bohars - CHRU Brest (CHU - BREST ), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Hôpital Charles Perrens, Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Neurosciences Intégratives et Cliniques - UFC (EA 481) (NEURO), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193 (SCALab), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-IFR10, Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), and Centre hospitalier Charles Perrens [Bordeaux]
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[SCCO]Cognitive science ,Prevalence of metabolic syndrome (MetS) ,[SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health ,Treatment-resistant depression (TRD) - Abstract
International audience; BACKGROUND:The aim of this study was to estimate the prevalence of metabolic syndrome (MetS) and its components in a cohort of French patients with treatment-resistant depression (TRD) and to determine correlations with sociodemographic, clinical, and treatment-related factors.METHODS:From 2012 to 2018, 205 patients who met DSM-IV criteria for major depressive episode with moderate-to-severe symptoms (Montgomery-Asberg Depression Rating Scale score ≥ 20), and at least Stage II resistance according to Thase and Rush criteria were enrolled in the FondaMental Advanced Centers of Expertise in Resistant Depression (FACE-DR) cohort. Data on sociodemographic and clinical characteristics, lifestyle information, and treatment and comorbidities were collected, and a blood sample was drawn. MetS was defined according to the criteria of the International Diabetes Federation.RESULTS:Overall, 38% of individuals with TRD met criteria for MetS. The frequency of MetS was significantly higher in men than in women only for patients aged 40 years or older (46.3% vs 35.2%, P = .0427). Moreover, whereas the management for diabetes was good, less than one-third of the patients with high blood pressure or dyslipidemia were treated for these conditions. Multivariate analysis showed that individuals with abnormal plasma c-reactive protein levels had a 3-fold increased risk (95% CI, 1.5-5.2) of having MetS, independent of other potential confounders.CONCLUSION:The prevalence of MetS is higher in patients with TRD than in those with other psychiatric disorders and characterized by a considerable undertreatment of some components of MetS in this population. Diagnosis and treatment of the components of MetS should be systematically performed to prevent the occurrence of cardiovascular diseases in patients with TRD. These findings highlight the need for integrated care, with more interaction and coordination between psychiatrists and primary care providers.
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- 2019
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12. Relationship between childhood physical abuse and clinical severity of treatment-resistant depression in a geriatric population.
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Yrondi, Antoine, Arbus, Christophe, Bennabi, Djamila, D'Amato, Thierry, Bellivier, Frank, Bougerol, Thierry, Camus, Vincent, Courtet, Philippe, Doumy, Olivier, Genty, Jean-Baptiste, Holtzmann, Jérôme, Horn, Mathilde, Lancon, Christophe, Leboyer, Marion, Llorca, Pierre-Michel, Maruani, Julia, Moirand, Rémi, Molière, Fanny, Petrucci, Jean, and Richieri, Raphaelle
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PHYSICAL abuse ,MENTAL depression ,CHILD abuse ,SELF-esteem - Abstract
Introduction: We assessed the correlation between childhood maltreatment (CM) and severity of depression in an elderly unipolar Treatment-Resistant Depression (TRD) sample. Methods: Patients were enrolled from a longitudinal cohort (FACE-DR) of the French Network of Expert TRD Centres. Results: Our sample included 96 patients (33% of the overall cohort) aged 60 years or above, with a mean age of 67.2 (SD = 5.7). The majority of the patients were female (62.5%). The Montgomery and Asberg Depression Rating Scale (MADRS) and Quick Inventory Depression Scale-Self Report (QIDS-SR) mean scores were high, 28.2 (SD = 7.49) [MADRS score range: 0–60; moderate severity≥20, high severity≥35] and 16.5 (SD = 4.94) [IDS-SR score range: 0–27; moderate severity≥11, high severity≥16], respectively. Mean self-esteem scores were 22.47 (SD = 6.26) [range 0–30]. In an age- and sex-adjusted model, we found a positive correlation between childhood trauma (CTQ scores) and depressive symptom severity [MADRS (β = 0.274; p = 0.07) and QIDS-SR (β = 0.302; p = 0.005) scores]. We detected a statistically significant correlation between physical abuse and depressive symptom severity [MADRS (β = 0.304; p = 0.03) and QIDS-SR (β = 0.362; p = 0.005) scores]. We did not observe any significant correlation between other types of trauma and depressive symptom severity. We showed that self-esteem (Rosenberg scale) mediated the effect of physical abuse (PA) on the intensity of depressive symptoms [MADRS: b = 0.318, 95% BCa C.I. [0.07, 0.62]; QIDS-SR: b = 0.177, 95% BCa C.I. [0.04, 0.37]]. Preacher & Kelly's Kappa Squared values of 19.1% (k
2 = 0.191) and 16% (k2 = 0.16), respectively for the two scales, indicate a moderate effect. Conclusion: To our knowledge, this is the first study conducted in a geriatric TRD population documenting an association between childhood trauma (mainly relating to PA) and the intensity of depressive symptoms. [ABSTRACT FROM AUTHOR]- Published
- 2021
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13. Significant Need for a French Network of Expert Centers Enabling a Better Characterization and Management of Treatment-Resistant Depression (Fondation FondaMental)
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Yrondi, Antoine, Bennabi, Djamila, Haffen, Emmanuel, Garnier, Marion, Bellivier, Frank, Bourgerol, Thierry, Camus, Vincent, D'Amato, Thierry, Doumy, Olivier, Haesebaert, Frédéric, Holtzmann, Jérôme, Lançon, Christophe, Vignaud, Philippe, Moliere, Fanny, Nieto, Isabel, Richieri, Raphaelle, Domenech, Philippe, Rabu, Corentin, Mallet, Luc, Yon, Liova, Schmitt, Laurent, Stephan, Florian, Vaiva, Guillaume, Walter, Michel, Llorca, Pierre-Michel, Courtet, Philippe, Leboyer, Marion, El-Hage, Wissam, Aouizerate, Bruno, Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Fondation FondaMental [Créteil], Imagerie et cerveau, Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), Pôle de psychiatrie, Assistance Publique - Hôpitaux de Marseille (APHM)-Hôpital Sainte-Marguerite [CHU - APHM] (Hôpitaux Sud )-CHU Marseille, Département de neurosciences (CHU Henri Mondor), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor, Oxalya, Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Service Psychiatrie et psychologie médicale [CHU Purpan], CHU Toulouse [Toulouse], Laboratoire de Neurosciences de Brest (LNB), Université de Brest (UBO), Sciences Cognitives et Sciences Affectives (SCALab) - UMR 9193 (SCALab), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Ethique, Professionalisme et Santé (JE 2535-EPS), Université de Brest (UBO)-Institut des Sciences de l'Homme et de la Société - ISHS, Neuro-Psycho Pharmacologie des Systèmes Dopimanégiques sous-corticaux - Clermont Auvergne (NPsy-Sydo), CHU Clermont-Ferrand-Université Clermont Auvergne (UCA), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Science et Technologie du Lait et de l'Oeuf (STLO), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Laboratoire de Neurosciences Intégratives et Cliniques - UFC (UR 481) (NEURO), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), CHU Clermont-Ferrand, Centre Hospitalier Universitaire [Grenoble] (CHU), UNIROUEN - UFR Santé (UNIROUEN UFR Santé), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Centre Hospitalier le Vinatier [Bron], Hôpital Charles Perrens, Département Universitaire de Psychiatrie - [Hôpital Sainte Marguerite - APHM] (Hôpitaux Sud), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Hôpital Sainte-Marguerite [CHU - APHM] (Hôpitaux Sud ), Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital de la Conception [CHU - APHM] (LA CONCEPTION), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor, Université Lumière - Lyon 2 (UL2), Laboratoire de Neurosciences Fonctionnelles et Pathologies (LNFP), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Hopital de Bohars - CHRU Brest (CHU - BREST ), Neuro-Psycho Pharmacologie des Systèmes Dopimanégiques sous-corticaux (NPsy-Sydo), CHU Clermont-Ferrand-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Hôpital Henri Mondor, Clinique Psychiatrique Universitaire [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093] (CAPS), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de psychiatrie [CHRU de Besançon], Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), CHU Grenoble, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'études et de recherche sur les services de santé et la qualité de vie (CEReSS), Aix Marseille Université (AMU), Institut des Sciences Cognitives (ISC), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), CHRU Brest - Psychiatrie Adulte (CHU - Brest- Psychiatrie), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-CHU Clermont-Ferrand, Fondation Fondamental, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre hospitalier Charles Perrens [Bordeaux], Santé Publique et maladies Chroniques : Qualité de vie Concepts, Usages et Limites, Déterminants (SPMC), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Neurologie et thérapeutique expérimentale, Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR70-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Sciences Cognitives et Sciences Affectives - UMR 9193 (SCALab), Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), El-Hage, Wissam, Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093] ( CAPS ), Université de Bourgogne ( UB ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut Mondor de Recherche Biomédicale ( IMRB ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), UNIROUEN - UFR Santé, Université de Rouen Normandie ( UNIROUEN ), Normandie Université ( NU ) -Normandie Université ( NU ), Pôle de Psychiatrie 'Solaris', Service Pr. Naudin, Centre Hospitalier Universitaire de Sainte-Marguerite, Département de neurosciences ( CHU Henri Mondor ), Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Henri Mondor, Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière ( CRICM ), Centre National de la Recherche Scientifique ( CNRS ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ), Université Lumière - Lyon 2 ( UL2 ), Laboratoire de Neurosciences de Brest ( LNB ), Université de Brest ( UBO ), Laboratoire de Neurosciences Fonctionnelles et Pathologies ( LNFP ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Ethique, Professionalisme et Santé ( JE 2535-EPS ), Université de Brest ( UBO ) -Institut des Sciences de l'Homme et de la Société - ISHS, Neuro-Psycho Pharmacologie des Systèmes Dopimanégiques sous-corticaux - Clermont Auvergne ( NPsy-Sydo ), CHU Clermont-Ferrand-Université Clermont Auvergne ( UCA ), Pathologies du système nerveux : recherche épidémiologique et clinique, Université Montpellier 1 ( UM1 ) -IFR76-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, CHRU Tours, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-IFR10, UMR U 1253, Laboratoire de Neurosciences Intégratives et Cliniques - UFC (EA 481) (NEURO), Hôpital Sainte-Marguerite [CHU - APHM] (Hôpitaux Sud )-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Tours (UT), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Centre Hospitalier Régional Universitaire [Besançon] (CHRU Besançon), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [APHP], UMR 7362, Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA)-Université de Strasbourg (UNISTRA), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Douhairie, Marie-Laurence, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR70-Université Pierre et Marie Curie - Paris 6 (UPMC), and Guedj, Eric
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lcsh:RC435-571 ,assessment ,[SDV]Life Sciences [q-bio] ,[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology ,[SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health ,[SDV.NEU.PC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior ,[ SDV.NEU.PC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior ,[ SDV.NEU.SC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences ,depressive disorder ,lcsh:Psychiatry ,Clinical Study Protocol ,ComputingMilieux_MISCELLANEOUS ,Psychiatry ,[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior ,[SCCO.NEUR]Cognitive science/Neuroscience ,[SCCO.NEUR] Cognitive science/Neuroscience ,[SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology ,[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences ,innovative strategies ,[SDV] Life Sciences [q-bio] ,[ SDV.NEU.NB ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology ,[SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health ,[ SCCO.NEUR ] Cognitive science/Neuroscience ,treatment-resistant depression ,network ,[SDV.NEU.SC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences ,[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology - Abstract
Background Major depression is characterized by (i) a high lifetime prevalence of 16–17% in the general population; (ii) a high frequency of treatment resistance in around 20–30% of cases; (iii) a recurrent or chronic course; (iv) a negative impact on the general functioning and quality of life; and (v) a high level of comorbidity with various psychiatric and non-psychiatric disorders, high occurrence of completed suicide, significant burden along with the personal, societal, and economic costs. In this context, there is an important need for the development of a network of expert centers for treatment-resistant depression (TRD), as performed under the leadership of the Fondation FondaMental. Methods The principal mission of this national network is to establish a genuine prevention, screening, and diagnosis policy for TRD to offer a systematic, comprehensive, longitudinal, and multidimensional evaluation of cases. A shared electronic medical file is used referring to a common exhaustive and standardized set of assessment tools exploring psychiatric, non-psychiatric, metabolic, biological, and cognitive dimensions of TRD. This is paralleled by a medico-economic evaluation to examine the global economic burden of the disease and related health-care resource utilization. In addition, an integrated biobank has been built by the collection of serum and DNA samples for the measurement of several biomarkers that could further be associated with the treatment resistance in the recruited depressed patients. A French observational long-term follow-up cohort study is currently in progress enabling the extensive assessment of resistant depressed patients. In those unresponsive cases, each expert center proposes relevant therapeutic options that are classically aligned to the international guidelines referring to recognized scientific societies. Discussion This approach is expected to improve the overall clinical assessments and to provide evidence-based information to those clinicians most closely involved in the management of TRD thereby facilitating treatment decisions and choice in everyday clinical practice. This could contribute to significantly improve the poor prognosis, the relapsing course, daily functioning and heavy burden of TRD. Moreover, the newly created French network of expert centers for TRD will be particularly helpful for a better characterization of sociodemographic, clinical, neuropsychological, and biological markers of treatment resistance required for the further development of personalized therapeutic strategies in TRD.
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- 2017
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14. Evaluation Of A Blended Cbt Platform For Depression Through Mixed Methods : A Clinical Trial And Qualitative Evaluation From Psychotherapists
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Picot-Ngo, Clément, Hazo, Jean-Baptiste, Michel, Morgane, Daval, Laure, Prigent, Amélie, Holtzmann, Jérôme, Titzler, Ingrid, and Ebert, David
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As part of the E-COMPARED project, we conducted an experiment on the Moodbusteru00ae platform which provides web-based cognitivo-behavioural therapy (CBT) modules for major depressive disorder. These modules are blended with face-to-face CBT sessions.Our first aim was to assess the clinical and cost-effectiveness of such blended CBT compared to traditional CBT.The second objective was to analyse professional feedbacks about Moodbusteru00ae and the principle of blended therapy of the therapists involved in the project.A two-arm randomized controlled trial was carried out in 10 specialized major depression centres. Adult patients who meet DSM-IV criteria for MDD were included either in the blended CBT arm, mixing 8 face-to-face sessions with Moodbusteru00ae modules, or in the control group, consisting in 18 sessions of face-to-face CBT. The depressive symptoms, quality of life and healthcare consumption information have been taken at baseline, post-treatment and 12 months.10 therapists involved in both arms of the protocol were interviewed afterward with a semi-structured interview grid. Their answers were thematically categorised and analysed by two researchers.Quantitative analyses showed either inferiority or non-inferiority of blended CBT vs traditional one in terms of cost and clinical effectiveness, depending of the outcome and time of measurement. Qualitative results provide the advantages, limiting factors and perspectives of improvement of the blended therapy.As designed in Moodbusteru00ae and in this trial, blended CBT seems not as efficient as face-to-face therapy but feedback from therapists and, in the future, users are prone to improve their results.
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- 2017
15. Childhood maltreatment and clinical severity of treatment-resistant depression in a French cohort of outpatients (FACE-DR): One-year follow-up.
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Yrondi, Antoine, Aouizerate, Bruno, Bennabi, Djamila, Richieri, Raphaëlle, D'Amato, Thierry, Bellivier, Frank, Bougerol, Thierry, Horn, Mathilde, Camus, Vincent, Courtet, Philippe, Doumy, Olivier, Genty, Jean B., Holtzmann, Jérôme, Lancon, Christophe, Leboyer, Marion, Llorca, Pierre M., Maruani, Julia, Moirand, Remi, Molière, Fanny, and Samalin, Ludovic
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MENTAL depression ,PHYSICAL abuse ,SEX crimes ,PSYCHOLOGICAL child abuse ,ABUSE of older people - Abstract
Background: Childhood maltreatment is associated with major depressive disorder (MDD). It not only increases the risk of lifetime MDD, but it also aggravates its course. Among depressed patients, 20-30% of them experience treatment-resistance depression (TRD). We aimed to assess the association between childhood maltreatment, severity of depression in a unipolar TRD sample, and patient outcomes after one-year of follow-up.Methods: Patients were recruited for a prospective cohort from the French network of TRD expert centers. Depressive symptom severity was assessed with the Montgomery-Åsberg Depression Rating Scale (MADRS) and the Quick Inventory of Depressive Symptomatology self-report (QIDS-SR). Childhood maltreatment was evaluated with the Childhood Trauma Questionnaire (CTQ).Results: In total, 256 patients filled in the CTQ at baseline between 2012 and 2019. At baseline, the MADRS score was associated with CTQ score (β = .185; p = .004). QIDS was also associated with CTQ scores (β = .27; p < .001). Regarding the different subtypes of childhood maltreatment, MADRS was associated with physical (β = .21; p = .005) and sexual abuse (β = .22; p = .002), while QIDS with physical abuse (β = .304; p < .001) and physical neglect (β = .254; p < .001). However, we did not find any significant association focusing on the other types of traumas. During a 1-year follow-up focusing on remission, CTQ scores (baseline) were less important in remittent patients [n = 38; CTQ score = 39.26 (9.68)] than in nonremittent ones [n = 92; CTQ score = 46.02 (17.53)] (p = .027). There was no significant difference among remitters and nonremitters based on trauma subtypes. At baseline, CTQ scores had a significant influence on remission at 1 year (χ2 (1) = 5.57; p < .05). We lost this influence adding MADRS scores at baseline in the model (p = .063).Conclusion: We highlighted a significant association between the severity of depressive disorders and childhood maltreatment in the TRD population. Information about a history of childhood maltreatment helps in identifying individuals who could be less likely to go into remission after treatment. [ABSTRACT FROM AUTHOR]- Published
- 2020
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16. Effect of Sleep Disturbance Symptoms on Treatment Outcome in Blended Cognitive Behavioral Therapy for Depression (E-COMPARED Study): Secondary Analysis.
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Jensen, Esben Skov, Ladegaard, Nicolai, Mellentin, Angelina Isabella, Ebert, David Daniel, Titzler, Ingrid, Araya, Ricardo, Pashoja, Arlinda Cerga, Hazo, Jean-Baptiste, Holtzmann, Jérôme, Cieslak, Roman, Smoktunowicz, Ewelina, Baños, Rosa, Herrero, Rocio, García-Palacios, Azucena, Botella, Cristina, Berger, Thomas, Krieger, Tobias, Holmberg, Trine Theresa, Topooco, Naira, and Andersson, Gerhard
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Background: Sleep disturbance symptoms are common in major depressive disorder (MDD) and have been found to hamper the treatment effect of conventional face-to-face psychological treatments such as cognitive behavioral therapy. To increase the dissemination of evidence-based treatment, blended cognitive behavioral therapy (bCBT) consisting of web-based and face-to-face treatment is on the rise for patients with MDD. To date, no study has examined whether sleep disturbance symptoms have an impact on bCBT treatment outcomes and whether it affects bCBT and treatment-as-usual (TAU) equally.Objective: The objectives of this study are to investigate whether baseline sleep disturbance symptoms have an impact on treatment outcomes independent of treatment modality and whether sleep disturbance symptoms impact bCBT and TAU in routine care equally.Methods: The study was based on data from the E-COMPARED (European Comparative Effectiveness Research on Blended Depression Treatment Versus Treatment-as-Usual) study, a 2-arm, multisite, parallel randomized controlled, noninferiority trial. A total of 943 outpatients with MDD were randomized to either bCBT (476/943, 50.5%) or TAU consisting of routine clinical MDD treatment (467/943, 49.5%). The primary outcome of this study was the change in depression symptom severity at the 12-month follow-up. The secondary outcomes were the change in depression symptom severity at the 3- and 6-month follow-up and MDD diagnoses at the 12-month follow-up, assessed using the Patient Health Questionnaire-9 and Mini-International Neuropsychiatric Interview, respectively. Mixed effects models were used to examine the association of sleep disturbance symptoms with treatment outcome and treatment modality over time.Results: Of the 943 patients recruited for the study, 558 (59.2%) completed the 12-month follow-up assessment. In the total sample, baseline sleep disturbance symptoms did not significantly affect change in depressive symptom severity at the 12-month follow-up (β=.16, 95% CI -0.04 to 0.36). However, baseline sleep disturbance symptoms were negatively associated with treatment outcome for bCBT (β=.49, 95% CI 0.22-0.76) but not for TAU (β=-.23, 95% CI -0.50 to 0.05) at the 12-month follow-up, even when adjusting for baseline depression symptom severity. The same result was seen for the effect of sleep disturbance symptoms on the presence of depression measured with Mini-International Neuropsychiatric Interview at the 12-month follow-up. However, for both treatment formats, baseline sleep disturbance symptoms were not associated with depression symptom severity at either the 3- (β=.06, 95% CI -0.11 to 0.23) or 6-month (β=.09, 95% CI -0.10 to 0.28) follow-up.Conclusions: Baseline sleep disturbance symptoms may have a negative impact on long-term treatment outcomes in bCBT for MDD. This effect was not observed for TAU. These findings suggest that special attention to sleep disturbance symptoms might be warranted when MDD is treated with bCBT. Future studies should investigate the effect of implementing modules specifically targeting sleep disturbance symptoms in bCBT for MDD to improve long-term prognosis. [ABSTRACT FROM AUTHOR]- Published
- 2022
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17. Treatment-Resistant Depression in a Real-World Setting: First Interim Analysis of Characteristics, Healthcare Resource Use, and Utility Values of the FondaMental Cohort.
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Yrondi, Antoine, Bennabi, Djamila, Haffen, Emmanuel, Quelard, Delphine, Samalin, Ludovic, Maruani, Julia, Allauze, Etienne, Pierre, Damien, Bougerol, Thierry, Camus, Vincent, D'Amato, Thierry, Doumy, Olivier, Holtzmann, Jérôme, Lançon, Christophe, Moliere, Fanny, Moirand, Rémi, Nieto, Isabel, Richieri, Raphaëlle Marie, Horn, Mathilde, and Schmitt, Laurent
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MENTAL depression ,MEDICAL care ,MENTAL illness - Abstract
Background: Major depressive disorder (MDD) is among the most common psychiatric disorders. One-third of patients are usually unresponsive to several lines of treatment. This study aimed to describe the FondaMental French cohort of patients with treatment-resistant depression (TRD) and to estimate utility and healthcare resource use outcomes. Methods: Patients with TRD were evaluated prospectively over four years (baseline, 6, 12, 18, 24, 36 and 48 months) in a real-world clinical setting. Interim analyses focused on the first two consecutive years. Four MDD-related states (major depressive episode (MDE), response, remission, recovery) were defined based on the MADRS (Montgomery–Åsberg depression rating scale) and other clinical events. Health status was assessed with the EuroQol 5 Dimensions 5 Level (EQ-5D-5L) questionnaire. Utility values were estimated as preference measures that the patients assigned to their overall health status. Results: This study was based on 252 patients with TRD. The mean utility value by health state was 0.41, 0.63, 0.80, and 0.90, for MDE, response, remission, and recovery, respectively. At baseline, 59% of patients had an MADRS score of at least 28. Their baseline average utility value was lower compared to the other patients (0.43 versus 0.58, p < 0.001). This significant difference persisted at the following visits. The rate of patients in MDEs having at least one hospitalisation for depression or other reasons than depression was generally higher than that in the other health states. Conclusion: This study documented patterns in healthcare resource consumption, quality of life, and other characteristics in patients with TRD, both globally and by health state and depression severity. [ABSTRACT FROM AUTHOR]
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- 2020
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18. Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary Care.
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Friedl, Nadine, Krieger, Tobias, Chevreul, Karine, Hazo, Jean Baptiste, Holtzmann, Jérôme, Hoogendoorn, Mark, Kleiboer, Annet, Mathiasen, Kim, Urech, Antoine, Riper, Heleen, and Berger, Thomas
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RANDOMIZED controlled trials ,TREATMENT effectiveness ,SENSE of coherence - Abstract
A variety of effective psychotherapies for depression are available, but patients who suffer from depression vary in their treatment response. Combining face-to-face therapies with internet-based elements in the sense of blended treatment is a new approach to treatment for depression. The goal of this study was to answer the following research questions: (1) What are the most important predictors determining optimal treatment allocation to treatment as usual or blended treatment? and (2) Would model-determined treatment allocation using this predictive information and the personalized advantage index (PAI)-approach result in better treatment outcomes? Bayesian model averaging (BMA) was applied to the data of a randomized controlled trial (RCT) comparing the efficacy of treatment as usual and blended treatment in depressive outpatients. Pre-treatment symptomatology and treatment expectancy predicted outcomes irrespective of treatment condition, whereas different prescriptive predictors were found. A PAI of 2.33 PHQ-9 points was found, meaning that patients who would have received the treatment that is optimal for them would have had a post-treatment PHQ-9 score that is two points lower than if they had received the treatment that is suboptimal for them. For 29% of the sample, the PAI was five or greater, which means that a substantial difference between the two treatments was predicted. The use of the PAI approach for clinical practice must be further confirmed in prospective research; the current study supports the identification of specific interventions favorable for specific patients. [ABSTRACT FROM AUTHOR]
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- 2020
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19. Childhood Trauma increases suicidal behaviour in a treatment-resistant depression population: a FACE-DR report.
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Yrondi, Antoine, Vaiva, Guillaume, Walter, Michel, D Amato, Thierry, Bellivier, Frank, Bennabi, Djamila, Bougerol, Thierry, Camus, Vincent, Doumy, Olivier, Genty, Jean-Baptiste, Haffen, Emmanuel, Holtzmann, Jérôme, Horn, Mathilde, Lançon, Christophe, Leboyer, Marion, Llorca, Pierre-Michel, Maruani, Julia, Moirand, Rémi, Molière, Fanny, and Petrucci, Jean
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SUICIDAL ideation , *PERSONALITY , *MENTAL depression , *SUICIDE statistics , *SUICIDE risk factors , *SUICIDE - Abstract
In addition to heredity, exposure to early-life adversity is an important predisposing risk factor of suicidal behaviour. Although the association between Childhood Trauma (CT) and suicide risk is well documented, interactions between CT and suicidal behaviour in Treatment-Resistant Depression (TRD) populations have received little coverage. This study aimed to evaluate i) association between CT and suicidal behaviour in a TRD population, and ii) the role of personality traits and impulsiveness as potential factors of mediation in these associations. Patients were recruited from a cohort of the French network of TRD expert centers. Depressive symptom severity, CT, suicidal behaviour, personality traits, and impulsiveness were assessed with the Montgomery-Åsberg Depression Rating Scale (MADRS), the Childhood Trauma Questionnaire (CTQ), the Columbia Suicide Severity Rating Scale (CSSRS), the Structured Clinical Interview for DSM-IV, the Big Five Inventory, and the Barratt Impulsivness Scale (BIS) respectively. Among the 256 patients with a baseline CTQ, in relation to suicide risk for the current depressive episode, we found an association with the total CTQ scores mediated by the intensity of the current episode in a model adjusted for age and sex (total effect: β = 0.171; p = 0.011, direct effect: β = 0.135; p = 0.043; indirect effect: β = 0.036; p = 0.048). Focusing on CT subtypes, we detected an association between suicide risk and physical neglect in a model adjusted for age and sex (β = 0.301; p = 0.002), without any mediation by the intensity of the current episode. There was no mediation effect from personality traits nor impulsiveness. With regards to CSSRS to assess suicidal ideation, we did not find any association with the total CTQ score and CT subtype scores. We report a strong association between suicidal behaviour and CT (in particular childhood physical neglect) in a TRD population. [ABSTRACT FROM AUTHOR]
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- 2021
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20. Esketamine-induced post-traumatic stress disorder flashbacks during treatment-resistant depression indication: is it just a side effect?
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Rothärmel M, Mekaoui L, Kazour F, Herrero M, Beetz-Lobono EM, Lengvenyte A, Holtzmann J, Raynaud P, Cuenca M, Bulteau S, de Maricourt P, Husson T, Olié E, Gohier B, Sauvaget A, Gaillard R, Richieri R, Szekely D, Samalin L, Guillin O, Moulier V, El-Hage W, Laurin A, and Berkovitch L
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Background: Posttraumatic stress disorder (PTSD) is a severe and frequent affection that is highly comorbid to major depressive disorder. Comorbid PTSD and depression are usually treatment-resistant, with a high risk of functional impairment and suicide. Esketamine nasal spray is a recent validated treatment for treatment-resistant depression (TRD), but its efficacy on comorbid TRD-PTSD remains insufficiently documented. In particular, flashbacks can occur during esketamine administration and their influence on clinical outcomes is unknown., Objectives: Our main objective was to describe esketamine-induced traumatic flashbacks and their impact on clinical trajectories within a sample of patients with comorbid TRD-PTSD., Methods: We retrospectively collected clinical data of patients receiving esketamine nasal spray for TRD with comorbid PTSD who experienced at least one flashback of their trauma during esketamine sessions across 11 psychiatric departments., Results: Between February 2020 and March 2023, 22 adult patients with TRD met inclusion criteria. In sixteen patients (72.7%) flashbacks disappeared as the sessions progressed. In six patients (27.3%), esketamine treatment was stopped because of persistent flashbacks. When esketamine was continued, clinical response was observed both for depression and PTSD (depression response rate: 45.5% and remission rate: 22.7%; PTSD response rate: 45.5% and remission: 18.2%)., Limitations: The retrospective design of the study and the absence of a comparator group are the main limitations of our study., Conclusions: Our results suggest that the occurrence of esketamine-induced traumatic flashbacks does not hinder clinical response. On the contrary, when managed appropriately and combined with targeted psychotherapy, it could even contribute to positive outcomes., Competing Interests: Conflict of interest Most of the authors of this article received honoraria or consulting fees from Janssen-Cilag (MR, LM, MH, JH, SB, MD, EO, BG, AS, RG, RR, DZ, LS, OG, AL, LB) with no financial or other relationship relevant to the subject of this article.
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- 2024
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21. Examining the Theoretical Framework of Behavioral Activation for Major Depressive Disorder: Smartphone-Based Ecological Momentary Assessment Study.
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van Genugten CR, Schuurmans J, Hoogendoorn AW, Araya R, Andersson G, Baños R, Botella C, Cerga Pashoja A, Cieslak R, Ebert DD, García-Palacios A, Hazo JB, Herrero R, Holtzmann J, Kemmeren L, Kleiboer A, Krieger T, Smoktunowicz E, Titzler I, Topooco N, Urech A, Smit JH, and Riper H
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Background: Behavioral activation (BA), either as a stand-alone treatment or as part of cognitive behavioral therapy, has been shown to be effective for treating depression. The theoretical underpinnings of BA derive from Lewinsohn et al's theory of depression. The central premise of BA is that having patients engage in more pleasant activities leads to them experiencing more pleasure and elevates their mood, which, in turn, leads to further (behavioral) activation. However, there is a dearth of empirical evidence about the theoretical framework of BA., Objective: This study aims to examine the assumed (temporal) associations of the 3 constructs in the theoretical framework of BA., Methods: Data were collected as part of the "European Comparative Effectiveness Research on Internet-based Depression Treatment versus treatment-as-usual" trial among patients who were randomly assigned to receive blended cognitive behavioral therapy (bCBT). As part of bCBT, patients completed weekly assessments of their level of engagement in pleasant activities, the pleasure they experienced as a result of these activities, and their mood over the course of the treatment using a smartphone-based ecological momentary assessment (EMA) application. Longitudinal cross-lagged and cross-sectional associations of 240 patients were examined using random intercept cross-lagged panel models., Results: The analyses did not reveal any statistically significant cross-lagged coefficients (all P>.05). Statistically significant cross-sectional positive associations between activities, pleasure, and mood levels were identified. Moreover, the levels of engagement in activities, pleasure, and mood slightly increased over the duration of the treatment. In addition, mood seemed to carry over, over time, while both levels of engagement in activities and pleasurable experiences did not., Conclusions: The results were partially in accordance with the theoretical framework of BA, insofar as the analyses revealed cross-sectional relationships between levels of engagement in activities, pleasurable experiences deriving from these activities, and enhanced mood. However, given that no statistically significant temporal relationships were revealed, no conclusions could be drawn about potential causality. A shorter measurement interval (eg, daily rather than weekly EMA reports) might be more attuned to detecting potential underlying temporal pathways. Future research should use an EMA methodology to further investigate temporal associations, based on theory and how treatments are presented to patients., Trial Registration: ClinicalTrials.gov, NCT02542891, https://clinicaltrials.gov/ct2/show/NCT02542891; German Clinical Trials Register, DRKS00006866, https://tinyurl.com/ybja3xz7; Netherlands Trials Register, NTR4962, https://www.trialregister.nl/trial/4838; ClinicalTrials.Gov, NCT02389660, https://clinicaltrials.gov/ct2/show/NCT02389660; ClinicalTrials.gov, NCT02361684, https://clinicaltrials.gov/ct2/show/NCT02361684; ClinicalTrials.gov, NCT02449447, https://clinicaltrials.gov/ct2/show/NCT02449447; ClinicalTrials.gov, NCT02410616, https://clinicaltrials.gov/ct2/show/NCT02410616; ISRCTN registry, ISRCTN12388725, https://www.isrctn.com/ISRCTN12388725., (©Claire Rosalie van Genugten, Josien Schuurmans, Adriaan W Hoogendoorn, Ricardo Araya, Gerhard Andersson, Rosa Baños, Cristina Botella, Arlinda Cerga Pashoja, Roman Cieslak, David Daniel Ebert, Azucena García-Palacios, Jean-Baptiste Hazo, Rocío Herrero, Jérôme Holtzmann, Lise Kemmeren, Annet Kleiboer, Tobias Krieger, Ewelina Smoktunowicz, Ingrid Titzler, Naira Topooco, Antoine Urech, Johannes H Smit, Heleen Riper. Originally published in JMIR Mental Health (https://mental.jmir.org), 06.12.2021.)
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- 2021
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22. Occurrence of Side Effects in Treatment-Resistant Depression: Role of Clinical, Socio-Demographic and Environmental Characteristics.
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Levy A, El-Hage W, Bennabi D, Allauze E, Bouvard A, Camus V, Courtet P, Dorey JM, Etain B, Fond G, Genty JB, Holtzmann J, Horn M, Leboyer M, Llorca PM, Meyrel M, Molière F, Nguon AS, Petrucci J, Rey R, Richieri R, Stephan F, Vaiva G, Walter M, Haffen E, Aouizerate B, and Yrondi A
- Abstract
Introduction: Treatment-resistant depression (TRD) is a disabling psychiatric condition characterized by the failure of two antidepressants (ADs). Since the occurrence of side effects (SEs) appears to be one of the main determinants of early discontinuation of pharmacological treatments contributing to a pseudo-resistance, the purpose of this study was to determine the parameters associated with the occurrence of SEs under ADs in a cohort of patients with TRD. Methods: An observational, cross-sectional, multicentre study was carried out using data from the French network of Expert Centers for TRD. For the 108 patients enrolled in the study, the statistical analyses focused on the overall occurrence and on the profile of the SEs (9 categories, 32 items). Results: SEs were influenced by age and sex and were positively associated with the intensity of anxious, depressive and suicidal symptoms, a history of childhood trauma (sexual abuse, emotional abuse and neglect), and negatively associated with self-esteem, and assessment of overall functioning. Conclusion: Using variables accessible in common practice, these results fall within the dynamic of a more tailored approach to medicine that could allow, through integrated pharmacological management, the continuation of antidepressant treatments, and therefore limit the risk of therapeutic failure., Competing Interests: AY received speaker's honoraria from AstraZeneca, Janssen, Lundbeck, Otsuka, Servier and carried out clinical studies in relation to the development of medicine Janssen and Lundbeck medicine unrelated to this work. J-BG received a speaker's honorarium from Servier. P-ML received grants, honoraria, and consulting fees from Allergan, Gedeon Richter, Janssen- Cilag, Lundbeck, Otsuka, Recordati, Sanofi-Aventis, and Teva. RRi received a speaker's honorarium from Janssen Cilag. FS received honoraria from Otsuka. EH acted in advisory capacities, carried out clinical studies in relation to the development of a medicine, received personal researches, studies, or travel allowance, gave presentations at meetings, and received remuneration for input from the following pharmaceutical organizations: AstraZeneca, BMS, Cellgene, Euthérapie-Servier, Janssen, Elli Lilly, Lundbeck, LivaNova, Otsuka, Pfizer, Sanofi. WE-H received speaker's honoraria from Chugai, Eisai, Lundbeck, Janssen-Cilag, Otsuka, and UCB unrelated to this work. BA received speaker's honoraria and/or a travel allowance from Lundbeck, Sanofi, Janssen-Cilag, and Eli Lilly. He has served on the advisory board of Janssen-Cilag. BE received honoraria for consulting activities for Sanofi. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Levy, El-Hage, Bennabi, Allauze, Bouvard, Camus, Courtet, Dorey, Etain, Fond, Genty, Holtzmann, Horn, Leboyer, Llorca, Meyrel, Molière, Nguon, Petrucci, Rey, Richieri, Stephan, Vaiva, Walter, Haffen, Aouizerate and Yrondi.)
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- 2021
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23. Association between anhedonia and suicidal events in patients with mood disorders: A 3-year prospective study.
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Ducasse D, Dubois J, Jaussent I, Azorin JM, Etain B, Gard S, Henry C, Bougerol T, Kahn JP, Aubin V, Bellivier F, Belzeaux R, Dubertret C, Dubreucq J, Llorca PM, Loftus J, Passerieux C, Polosan M, Samalin L, Leboyer M, Yrondi A, Bennabi D, Haffen E, Maruani J, Allauze E, Camus V, D'Amato T, Doumy O, Holtzmann J, Lançon C, Moliere F, Moirand R, Richieri RM, Horn M, Schmitt L, Stephan F, Genty JB, Vaiva G, Walter M, El-Hage W, Aouizerate B, Olié E, and Courtet P
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- Humans, Mood Disorders epidemiology, Prospective Studies, Risk Factors, Suicide, Attempted, Anhedonia, Suicidal Ideation
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Background: As almost all mental disorders are associated with increased suicidal-related behavior, anhedonia might be a trans-diagnostic dimension to target for suicide prevention., Methods: For this 3-year-long prospective study, 2,839 outpatients with mood disorders were recruited. They were divided in: (a) two groups according to the occurrence or not of suicidal ideation during the follow-up, and (b) two groups according to the occurrence or not of suicide attempts during the follow-up. Anhedonia was assessed using a composite score (the French version of the 14-item Snaith-Hamilton Pleasure Scale and item 13 of the Quick Inventory of Depressive Symptomatology scale) at inclusion and at 6, 12, 24, and 36 months after inclusion., Results: Patients with mood disorders and anhedonia at least at one follow-up visit had a 1.4-fold higher risk of suicidal ideation (adjusted odds ratio = 1.35; 95% confidence interval [1.07, 1.70]), even after adjustment for confounding factors of suicide risk (i.e., bipolar or unipolar disorder, sex, age, marital status, education level, antidepressant intake, personal history of suicide attempt, at least one childhood trauma, and mean of the maximum depression score during the follow-up). Conversely, association between anhedonia and suicide attempt did not remain significant after adjustment., Conclusions: The significant association between anhedonia and suicide ideation in patients with mood disorders stresses the need of targeting hedonia in mood disorders, and of research focusing on the position to pleasure in life through eudaimonia., (© 2020 Wiley Periodicals LLC.)
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- 2021
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24. Significant Need for a French Network of Expert Centers Enabling a Better Characterization and Management of Treatment-Resistant Depression (Fondation FondaMental).
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Yrondi A, Bennabi D, Haffen E, Garnier M, Bellivier F, Bourgerol T, Camus V, D'Amato T, Doumy O, Haesebaert F, Holtzmann J, Lançon C, Vignaud P, Moliere F, Nieto I, Richieri RM, Domenech P, Rabu C, Mallet L, Yon L, Schmitt L, Stephan F, Vaiva G, Walter M, Llorca PM, Courtet P, Leboyer M, El-Hage W, and Aouizerate B
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Background: Major depression is characterized by (i) a high lifetime prevalence of 16-17% in the general population; (ii) a high frequency of treatment resistance in around 20-30% of cases; (iii) a recurrent or chronic course; (iv) a negative impact on the general functioning and quality of life; and (v) a high level of comorbidity with various psychiatric and non-psychiatric disorders, high occurrence of completed suicide, significant burden along with the personal, societal, and economic costs. In this context, there is an important need for the development of a network of expert centers for treatment-resistant depression (TRD), as performed under the leadership of the Fondation FondaMental., Methods: The principal mission of this national network is to establish a genuine prevention, screening, and diagnosis policy for TRD to offer a systematic, comprehensive, longitudinal, and multidimensional evaluation of cases. A shared electronic medical file is used referring to a common exhaustive and standardized set of assessment tools exploring psychiatric, non-psychiatric, metabolic, biological, and cognitive dimensions of TRD. This is paralleled by a medico-economic evaluation to examine the global economic burden of the disease and related health-care resource utilization. In addition, an integrated biobank has been built by the collection of serum and DNA samples for the measurement of several biomarkers that could further be associated with the treatment resistance in the recruited depressed patients. A French observational long-term follow-up cohort study is currently in progress enabling the extensive assessment of resistant depressed patients. In those unresponsive cases, each expert center proposes relevant therapeutic options that are classically aligned to the international guidelines referring to recognized scientific societies., Discussion: This approach is expected to improve the overall clinical assessments and to provide evidence-based information to those clinicians most closely involved in the management of TRD thereby facilitating treatment decisions and choice in everyday clinical practice. This could contribute to significantly improve the poor prognosis, the relapsing course, daily functioning and heavy burden of TRD. Moreover, the newly created French network of expert centers for TRD will be particularly helpful for a better characterization of sociodemographic, clinical, neuropsychological, and biological markers of treatment resistance required for the further development of personalized therapeutic strategies in TRD.
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- 2017
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