The economic burden of bipolar I disorder in the United States in 2015

Cloutier, Martin; Greene, Mallik; Guérin, Annie; Touya, Maëlys; Wu, Eric Q.

doi:10.1016/j.jad.2017.09.011

Cited by 172 publications

(112 citation statements)

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“…Major depressive disorder (MDD) and bipolar disorder are among the most serious psychiatric 31 disorders with high prevalence and illness-related disability Eaton et al 2012; 32 Cloutier et al, 2018). Despite growing evidence for the spectrum concept of mood disorders (Angst et 33 al., 2018), and even with the advanced neuroimaging methods developed in recent years, the underlying 34 pathophysiological mechanisms of depression remain poorly understood.…”

Section: Introduction 30mentioning

confidence: 99%

EEG resting-state large-scale brain network dynamics are related to depressive symptoms

Damborská

Tomescu

Honzírková

et al. 2019

Preprint

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12 Background: The few previous studies on resting-state EEG microstates in depressive patients suggest 13 altered temporal characteristics of microstates compared to those of healthy subjects. We tested 14 whether resting-state microstate temporal characteristics could capture large-scale brain network 15 dynamic activity relevant to depressive symptomatology. 16 Methods: To evaluate a possible relationship between the resting-state large-scale brain network 17 dynamics and depressive symptoms, we performed EEG microstate analysis in patients with moderate 18 to severe depression within bipolar affective disorder, depressive episode, and periodic depressive 19 disorder, and in healthy controls. 20Results: Microstate analysis revealed six classes of microstates (A-F) in global clustering across all 21subjects. There were no between-group differences in the temporal characteristics of microstates. In 22 the patient group, higher symptomatology on the Montgomery-Åsberg Depression Rating Scale, a 23 questionnaire validated as measuring severity of depressive episodes in patients with mood disorders, 24 correlated with higher occurrence of microstate A (Spearman's rank correlation, r = 0.70, p < 0.01). 25Conclusion: Our results suggest that the observed interindividual differences in resting-state EEG 26 microstate parameters could reflect altered large-scale brain network dynamics relevant to depressive 27 symptomatology during depressive episodes. These findings suggest the utility of the microstate 28 analysis approach in an objective depression assessment. 29

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Section: Introduction 30mentioning

confidence: 99%

EEG resting-state large-scale brain network dynamics are related to depressive symptoms

Damborská

Tomescu

Honzírková

et al. 2019

Preprint

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“…Bipolar disorder (BD) is ranked sixth in the top 10 causes of disability worldwide in the 15‐to‐44‐year age group . In the USA, the total costs of BD were estimated at $202.1 billion, the largest contributors being caregiving (36%), direct health‐care costs (21%), and unemployment (20%) …”

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confidence: 99%

“…5 In the USA, the total costs of BD were estimated at $202.1 billion, the largest contributors being caregiving (36%), direct health-care costs (21%), and unemployment (20%). 6 About half of the patients diagnosed with bipolar or schizophrenia (SCZ) spectrum disorders discontinue psychotropic medications during long-term pharmacological treatment. 7 This aspect not only contributes to the high economic burden of both diseases, [1][2][3][4][5][6] but also has negative effects on clinical and social outcomes of both classes of disorders.…”

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confidence: 99%

“…6 About half of the patients diagnosed with bipolar or schizophrenia (SCZ) spectrum disorders discontinue psychotropic medications during long-term pharmacological treatment. 7 This aspect not only contributes to the high economic burden of both diseases, [1][2][3][4][5][6] but also has negative effects on clinical and social outcomes of both classes of disorders. 8 In fact, nonadherence or partial adherence to medications almost inevitably leads to increased risks of symptomatological relapse, (re)hospitalization, and even to job loss and homelessness.…”

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confidence: 99%

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Discontinuation rates during long‐term, second‐generation antipsychotic long‐acting injection treatment: A systematic review

Gentile

2019

Psychiatry Clin Neurosci

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Aim The aim of this review was to analyze the discontinuation rates during long‐term treatment with second‐generation antipsychotic long‐acting injection (SGA‐LAI) in adults with either schizophrenia spectrum or bipolar disorders. Methods A systematic search (PubMed, Scopus, and the Cochrane Library) of studies published in English (1 January 2001–12 October 2018) identified 1214 abstracts, which were analyzed independently by the author and two colleagues. Studies were retrieved and reviewed if they reported primary data on the discontinuation rate before the study end during treatment lasting ≥36 weeks. Data were extracted from 51 articles meeting the inclusion criteria. Results In all head‐to‐head comparisons, and studies on patients with schizophrenia spectrum or bipolar disorders, the discontinuation rate before the study end in patients treated with SGA‐LAI was, at best, similar to that recorded in patients treated with first‐generation antipsychotics in either oral or LAI formulations or with oral SGA. In particular, in most of the SGA‐LAI long‐term studies, the rate of premature dropout was higher than 50%. Conclusion Reviewed data suggest that SGA‐LAI show no clear superiority over less expensive drugs (including first‐generation antipsychotic LAI and oral antipsychotic formulations) in reducing the risk of premature antipsychotic discontinuation. Thus, alternative strategies should be considered to improve medication persistence and lower discontinuation rates in patients with severe psychiatric disorders. Planning tailored, individualized, and integrated approaches (including frequent clinical evaluations, and behavioral or other flexible techniques adaptable to different settings and patients) may be an effective intervention for improving patient adherence in long‐term pharmacological treatment regimens.

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“…Bipolar disorder (BD) is a common and severe psychiatric disorder, with an important personal and 37 societal burden (Cloutier et al, 2018;Eaton et al, 2012). The worldwide prevalence of BD is 38 considered to range between 1% and 3% (Merikangas et al, 2011;Ferrari et al, 2016).…”

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Altered EEG resting-state large-scale brain network dynamics in euthymic bipolar disorder patients

Damborská

Piguet

Aubry

et al. 2019

Preprint

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19Background: Neuroimaging studies provided evidence for disrupted resting-state functional brain 20 network activity in bipolar disorder (BD). Electroencephalographic (EEG) studies found altered 21 temporal characteristics of functional EEG microstates during depressive episode within different 22 affective disorders. Here we investigated whether euthymic patients with BD show deviant resting-23 state large-scale brain network dynamics as reflected by altered temporal characteristics of EEG 24 microstates. 25Methods: We used high-density EEG to explore between-group differences in duration, coverage and 26 occurrence of the resting-state functional EEG microstates in 17 euthymic adults with BD in on-27 medication state and 17 age-and gender-matched healthy controls. Two types of anxiety, state and 28 trait, were assessed separately with scores ranging from 20 to 80. 29Results: Microstate analysis revealed five microstates (A-E) in global clustering across all subjects. In 30 patients compared to controls, we found increased occurrence and coverage of microstate A that did 31 not significantly correlate with anxiety scores. 32Conclusion: Our results provide neurophysiological evidence for altered large-scale brain network 33 dynamics in BD patients and suggest the increased presence of A microstate to be an 34 electrophysiological trait characteristic of BD. 35

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The economic burden of bipolar I disorder in the United States in 2015

Abstract: Besides direct healthcare costs, BDI was associated with substantial direct non-healthcare and indirect costs. More effective treatments and practices are needed to optimize therapeutic strategies and contain direct and indirect costs.

Cited by 172 publications

References 31 publications

EEG resting-state large-scale brain network dynamics are related to depressive symptoms

EEG resting-state large-scale brain network dynamics are related to depressive symptoms

Discontinuation rates during long‐term, second‐generation antipsychotic long‐acting injection treatment: A systematic review

Altered EEG resting-state large-scale brain network dynamics in euthymic bipolar disorder patients

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