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Association between childhood maltreatment and the clinical course of bipolar disorders: A survival analysis of mood recurrences

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Objectives: Childhood maltreatment, also referred as childhood trauma, increases the severity of Bipolar Disorders (BD). Childhood maltreatment has been associated with more frequent mood recurrences, however mostly in retrospective studies. Since scarce, further prospective studies are required to identify whether childhood maltreatment may be associated with the time to recurrence in BD. Methods: Individuals with BD (N=2008) were assessed clinically and for childhood maltreatment at baseline, and followed-up for two years. The cumulative probability of mood recurrence over time was estimated with the Turnbull's extension of the Kaplan-Meier analysis for interval-censored data, including childhood maltreatment as a whole, and then maltreatment subtypes as predictors. Analyses were adjusted for potential confounding factors. Results: The median duration of follow-up was 22.3 month (IQR:12.0-24.8). Univariable analyses showed associations between childhood maltreatment, in particular all types of abuses (emotional, physical and sexual) or emotional neglect, and a shorter time to recurrence (all p values <0.001). When including potential confounders into the multivariable models, the time to mood recurrence was associated with multiple/severe childhood maltreatment (i.e. total score above the 75th percentile) (HR=1.32 95%CI(1.11-1.57), p=0.002), and more specifically with moderate/severe physical abuse (HR=1.44 95%CI(1.21-1.73), p<0.0001). Living alone, lifetime anxiety disorders, lifetime number of mood episodes, baseline depressive and (hypo)manic symptoms and baseline use of atypical antipsychotics were also associated with the time to recurrence. Conclusions: In addition to typical predictors of mood recurrences, an exposure to multiple/severe forms of childhood maltreatment, and more specifically to moderate to severe physical abuse, may increase the risk for a mood recurrence in BD. This leads to the recommendations of more scrutiny and denser follow-up of the individuals having been exposed to such early life stressors.
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Bipolar disorder (BD) is a chronic and burdensome psychiatric disease, characterized by variations in mood and energy. The literature has consistently demonstrated an association between BD and childhood maltreatment (CM), and genetic variants of circadian genes have been associated with an increased vulnerability to develop BD. In this context, environmental factors such as CM may also contribute to the susceptibility to BD through alterations in the functioning of the biological clock linked to modifications of expression of circadian genes. In this study, we explored the associations between childhood maltreatment, sleep quality, and the level of expression of a comprehensive set of circadian genes in lymphoblastoid cell lines from patients with BD. The sample consisted of 52 Caucasian euthymic patients with a diagnosis of BD type 1 or type 2. The exposure to CM was assessed with the Childhood Trauma Questionnaire (CTQ), and the sleep quality was assessed using the Pittsburgh Sleep Quality Index. We measured the expression of 18 circadian genes using quantitative RT-PCR: ARNTL2, BHLHE40, BHLHE41, CLOCK, CRY1, CRY2, CSNK1D, CSNK1E, DBP, GSK3B, NPAS2, NR1D1, PER1, PER2, PER3, PPARGC1A, RORA, and RORB. Gene expression networks were analyzed with the disjoint graphs method. Compared to the other investigated transcripts, PPARGC1A was the only one whose expression level was differentially affected in patients who have experienced CM and, more specifically, physical abuse. We observed no significant effects of the other CTQ subscores (emotional and sexual abuses, physical and emotional neglects), nor of the sleep quality on the network of circadian genes expression. Although requiring replication in larger cohorts, the result obtained here is consistent with the hypothesis of an influence of CM exposure on circadian systems and highlights the importance of PPARGC1A in these processes.
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Objective The association between childhood maltreatment (CM) and clinical response to mood stabilizers has been scarcely investigated in bipolar disorder (BD). Therefore, we assessed whether CM affects the response to lithium or anticonvulsant treatments in BD patients. Methods A retrospective assessment of clinical response to mood stabilizers was conducted in 97 euthymic patients with BD by means of the Alda scale. History of CM was investigated through the Childhood Trauma Questionnaire. Results Thirty‐seven patients (24 with a history of CM and 13 without CM) were on stable lithium treatment while sixty (35 with a history of CM and 25 without CM) were on stable anticonvulsant treatment. Clinical response to drug treatment did not differ between BD with CM and those without CM in the whole sample as well as in the anticonvulsant‐treated subgroup. In the lithium‐treated subgroup, a significant negative correlation emerged between childhood physical abuse and clinical response and patients with CM showed a significantly reduced Alda score. Conclusions In BD patients, CM did not influence the clinical response to anticonvulsant mood stabilizers whereas it was associated with a poorer response to lithium with childhood physical abuse playing a major role in this effect.
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Objective The aim of this systematic review and meta-analysis was to study the association between specific environmental risk factors (ERF) and later development of Bipolar disorder and Psychotic depression. Methods A systematic search of prospective studies was conducted in MEDLINE, EMBASE and PsycINFO databases, and supplemented by hand searching, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (registration number: CRD42018092253). Selected ERF included: pre-/peri-natal factors—paternal age at birth, maternal infection, obstetric complications, perinatal stress; early childhood factors—urbanicity at birth, childhood infection, childhood adversity; later life factors—substance misuse, ethnic minority and migration, urbanicity later in life, stressful life events, and traumatic head injury. Pooled effect sizes of the association between these ERF and affective psychoses were calculated from systematically selected studies. When studies examining each ERF were insufficient for meta-analysis, results were presented narratively. Results Forty-six studies were included for quantitative analyses among selected ERF for affective psychosis, with significant association found for paternal age >40 years (OR 1.17, 95%CI 1.12–1.23), early (OR 1.52, 95%CI 1.07–2.17) and late (OR 1.32, 95%CI 1.05–1.67) gestational age, childhood adversity (OR 1.33, 95%CI 1.18–1.50), substance misuse (OR 2.87, 95%CI 1.63–5.50), and being from an ethnic minority (OR 1.99, 95%CI 1.39–2.84). Conclusions These results suggest some shared environmental load between non-affective and affective psychosis, implying generalized risks for psychosis rather than for specific diagnostic categories. Nonetheless, published studies for some ERF in the affective psychoses are scarce, and further longitudinal studies are needed.
Article
OBJECTIVE To examine which characteristics predict the time to a first mood recurrence at three years in Bipolar Disorder type I (BD-I) and type II (BD-II). METHODS Individuals with BD were followed up to 3 years. Turbull’s extension of the Kaplan-Meier analysis for interval-censored data was used to estimate the cumulative probability of recurrence over time. Separate models were performed according to BD subtype to determine which baseline factors were predictive of recurrences and were adjusted for age, gender and educational level. RESULTS We included 630 individuals with BD-I and 505 with BD-II. The first recurrence of any polarity occurred earlier in BD-II (p=0.03). The first depressive recurrence occurred earlier in BD-II (p<0.0001), whereas the first (hypo)manic recurrence occurred earlier in BD-I (p=0.0003). In BD-I, the clinical variables that were associated to the time to a first mood recurrence were depressive symptoms, lifetime rapid cycling, global activation and the number of psychotropic medications at baseline. In BD-II, the time to a first recurrence was associated with a younger age at onset of BD and a higher number of lifetime mood episodes. The Areas Under the Curve for both models were moderate. CONCLUSION Predictors of recurrences showed few specificities to BD-I or BD-II. The ability to predict recurrences in BD based on socio-demographic and clinical variables remained too moderate for a transfer in daily practice. This study highlights the need for further studies that would include other types of predictors, such as molecular, cognitive or neuro-imaging ones, to achieve an accurate level of prediction of recurrences in BD.
Article
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