scholarly journals Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review

10.2196/13770 ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. e13770
Author(s):  
Eric C Chan ◽  
Yuting Sun ◽  
Katherine J Aitchison ◽  
Sudhakar Sivapalan
Keyword(s):  
Systematic Review ◽  
Bipolar Disorder ◽  
Rating Scale ◽  
Mobile App ◽  
Self Report ◽  
Healthy Controls ◽  
Young Mania ◽  
Good Adherence ◽  
Wide Range ◽  
Meta Analyses

Background Bipolar disorder is a chronic, progressive illness characterized by recurrent episodes of mania and depression. Self-report scales have historically played a significant role in the monitoring of bipolar symptoms. However, these tools rely on episodic memory, which can be unreliable and do not allow the clinician to monitor brief episodic symptoms or the course of symptoms over shorter periods of time. Mobile app–based questionnaires have been suggested as a tool to improve monitoring of patients with bipolar disorder. Objective This paper aims to determine the feasibility and validity of mobile app–based self-report questionnaires. Methods We performed a systematic review of the literature according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The PubMed, PsycInfo, Web of Science, Ovid MEDLINE, and EMBASE databases were searched for papers published in English that assessed adherence to and the validity of mobile app–based self-report questionnaires. Relevant studies published from database creation to May 22, 2020, were identified, and results examining the validity of and rates of adherence to app-based self-report questionnaires are reported. Results A total of 13 records were identified for inclusion in this review. Of these studies, 4 assessed the concurrent validity of mobile app–based self-report tools, with the majority of findings indicating significant associations between data collected using these tools and the Young Mania Rating Scale, Hamilton Depression Rating Scale-17, or Montgomery-Åsberg Depression Rating Scale (P<.001 to P=.24). Three studies comparing the variability or range of symptoms between patients with bipolar disorder and healthy controls suggested that these data are capable of differentiating between known groups. Two studies demonstrated statistically significant associations between data collected via mobile app–based self-report tools and instruments assessing other clinically important factors. Adherence rates varied across the studies examined. However, good adherence rates (>70%) were observed in all but 1 study using a once-daily assessment. There was a wide range of adherence rates observed in studies using twice-daily assessments (42%-95%). Conclusions These findings suggest that mobile app–based self-report tools are valid in the assessment of symptoms of mania and depression in euthymic patients with bipolar disorder. Data collected using these tools appear to differ between patients with bipolar disorder and healthy controls and are significantly associated with other clinically important measures. It is unclear at this time whether these tools can be used to detect acute episodes of mania or depression in patients with bipolar disorder. Adherence data indicate that patients with bipolar disorder show good adherence to self-report assessments administered daily for the duration of the study periods evaluated.

scholarly journals Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review (Preprint)

2019 ◽  
Author(s):  
Eric C Chan ◽  
Yuting Sun ◽  
Katherine J Aitchison ◽  
Sudhakar Sivapalan
Keyword(s):  
Systematic Review ◽  
Bipolar Disorder ◽  
Rating Scale ◽  
Mobile App ◽  
Self Report ◽  
Healthy Controls ◽  
Young Mania ◽  
Good Adherence ◽  
Wide Range ◽  
Meta Analyses

BACKGROUND Bipolar disorder is a chronic, progressive illness characterized by recurrent episodes of mania and depression. Self-report scales have historically played a significant role in the monitoring of bipolar symptoms. However, these tools rely on episodic memory, which can be unreliable and do not allow the clinician to monitor brief episodic symptoms or the course of symptoms over shorter periods of time. Mobile app–based questionnaires have been suggested as a tool to improve monitoring of patients with bipolar disorder. OBJECTIVE This paper aims to determine the feasibility and validity of mobile app–based self-report questionnaires. METHODS We performed a systematic review of the literature according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The PubMed, PsycInfo, Web of Science, Ovid MEDLINE, and EMBASE databases were searched for papers published in English that assessed adherence to and the validity of mobile app–based self-report questionnaires. Relevant studies published from database creation to May 22, 2020, were identified, and results examining the validity of and rates of adherence to app-based self-report questionnaires are reported. RESULTS A total of 13 records were identified for inclusion in this review. Of these studies, 4 assessed the concurrent validity of mobile app–based self-report tools, with the majority of findings indicating significant associations between data collected using these tools and the Young Mania Rating Scale, Hamilton Depression Rating Scale-17, or Montgomery-Åsberg Depression Rating Scale (<i>P</i>&lt;.001 to <i>P</i>=.24). Three studies comparing the variability or range of symptoms between patients with bipolar disorder and healthy controls suggested that these data are capable of differentiating between known groups. Two studies demonstrated statistically significant associations between data collected via mobile app–based self-report tools and instruments assessing other clinically important factors. Adherence rates varied across the studies examined. However, good adherence rates (&gt;70%) were observed in all but 1 study using a once-daily assessment. There was a wide range of adherence rates observed in studies using twice-daily assessments (42%-95%). CONCLUSIONS These findings suggest that mobile app–based self-report tools are valid in the assessment of symptoms of mania and depression in euthymic patients with bipolar disorder. Data collected using these tools appear to differ between patients with bipolar disorder and healthy controls and are significantly associated with other clinically important measures. It is unclear at this time whether these tools can be used to detect acute episodes of mania or depression in patients with bipolar disorder. Adherence data indicate that patients with bipolar disorder show good adherence to self-report assessments administered daily for the duration of the study periods evaluated.

Motor activity patterns can distinguish between interepisode bipolar disorder patients and healthy controls

CNS Spectrums ◽  
2020 ◽  
pp. 1-11
Author(s):  
Jakub Schneider ◽  
Eduard Bakštein ◽  
Marian Kolenič ◽  
Pavel Vostatek ◽  
Christoph U. Correll ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Motor Activity ◽  
Employment Status ◽  
Rating Scale ◽  
Activity Patterns ◽  
Healthy Controls ◽  
Respective Group ◽  
Young Mania ◽  
Mean Values ◽  
Time Variations

Abstract Background Bipolar disorder (BD) is linked to circadian rhythm disruptions resulting in aberrant motor activity patterns. We aimed to explore whether motor activity alone, as assessed by longitudinal actigraphy, can be used to classify accurately BD patients and healthy controls (HCs) into their respective groups. Methods Ninety-day actigraphy records from 25 interepisode BD patients (ie, Montgomery–Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) < 15) and 25 sex- and age-matched HCs were used in order to identify latent actigraphic biomarkers capable of discriminating between BD patients and HCs. Mean values and time variations of a set of standard actigraphy features were analyzed and further validated using the random forest classifier. Results Using all actigraphy features, this method correctly assigned 88% (sensitivity = 85%, specificity = 91%) of BD patients and HCs to their respective group. The classification success may be confounded by differences in employment between BD patients and HCs. When motor activity features resistant to the employment status were used (the strongest feature being time variation of intradaily variability, Cohen’s d = 1.33), 79% of the subjects (sensitivity = 76%, specificity = 81%) were correctly classified. Conclusion A machine-learning actigraphy-based model was capable of distinguishing between interepisode BD patients and HCs solely on the basis of motor activity. The classification remained valid even when features influenced by employment status were omitted. The findings suggest that temporal variability of actigraphic parameters may provide discriminative power for differentiating between BD patients and HCs while being less affected by employment status.

scholarly journals Neurotrophins, cytokines, oxidative stress mediators and mood state in bipolar disorder: systematic review and meta-analyses

2018 ◽  
Vol 213 (3) ◽  
pp. 514-525 ◽  
Author(s):  
Tobias Rowland ◽  
Benjamin I. Perry ◽  
Rachel Upthegrove ◽  
Nicholas Barnes ◽  
Jayanta Chatterjee ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Systematic Review ◽  
Bipolar Disorder ◽  
Inflammatory Markers ◽  
Healthy Controls ◽  
Oxidative Stress Markers ◽  
Stress Markers ◽  
Tnf Α ◽  
Meta Analyses ◽  
And Oxidative Stress

BackgroundA reliable biomarker signature for bipolar disorder sensitive to illness phase would be of considerable clinical benefit. Among circulating blood-derived markers there has been a significant amount of research into inflammatory markers, neurotrophins and oxidative stress markers.AimsTo synthesise and interpret existing evidence of inflammatory markers, neurotrophins and oxidative stress markers in bipolar disorder focusing on the mood phase of illness.MethodFollowing PRISMA (Preferred Reporting Items for Systematic reviews and Meta-analyses) guidelines, a systematic review was conducted for studies investigating peripheral biomarkers in bipolar disorder compared with healthy controls. We searched Medline, Embase, PsycINFO, SciELO and Web of Science, and separated studies by bipolar mood phase (mania, depression and euthymia). Extracted data on each biomarker in separate mood phases were synthesised using random-effects model meta-analyses.ResultsIn total, 53 studies were included, comprising 2467 cases and 2360 controls. Fourteen biomarkers were identified from meta-analyses of three or more studies. No biomarker differentiated mood phase in bipolar disorder individually. Biomarker meta-analyses suggest a combination of high-sensitivity C-reactive protein/interleukin-6, brain derived neurotrophic factor/tumour necrosis factor (TNF)-α and soluble TNF-α receptor 1 can differentiate specific mood phase in bipolar disorder. Several other biomarkers of interest were identified.ConclusionsCombining biomarker results could differentiate individuals with bipolar disorder from healthy controls and indicate a specific mood-phase signature. Future research should seek to test these combinations of biomarkers in longitudinal studies.Declaration of interestNone.

Comparisons of Narrative Psychotherapy to Conventional CBT for the Psychotherapy of Psychosis and Bipolar Disorder

2017 ◽  
Vol 41 (S1) ◽  
pp. s779-s779
Author(s):  
L. Mehl-Madrona ◽  
B. Mainguy
Keyword(s):  
Bipolar Disorder ◽  
Narrative Therapy ◽  
Rating Scales ◽  
Psychotic Disorders ◽  
Rating Scale ◽  
Therapy Group ◽  
Well Being ◽  
Outcome Data ◽  
Symptom Scale ◽  
Young Mania

IntroductionThere is ongoing debate about about both the value of psychotherapy in psychotic disorders and the best type of psychotherapy to use if necessary.MethodsWe conducted narrative psychotherapy with 18 adults, all diagnosed as having bipolar disorder with psychotic features and/or schizo-affective disorder. Outcome data consisted of the Positive and Negative Symptom Scale, the Clinical Global Impressions Scale, the Young Mania Rating Scale, the Hamilton Anxiety and Depression Scales, the My Medical Outcome Profile, Version 2(MYMOP2), and the Outcome Rating Scales of Duncan and Miller. We compare the outcomes of our patients to those of a matched comparison group receiving conventional psycho-education and cognitive behavioural therapy. Patients were seen for a minimum of 16 weeks over an average of 22 weeks. Average age was 31.5 years with a standard deviation of 8.1 years.ResultsThe narrative therapy group showed statistically significant reductions in all outcome measures compared to the conventional treatment group. They continued treatment significantly longer and had fewer re-hospitalizations. They were less distressed by voices.ConclusionsA narrative psychotherapy approach using dialogical theory and therapy ideas is a reasonable approach for the psychotherapy of psychosis. Review of psychotherapy notes showed that narrative approaches allowed the therapist to align with the patient as collaborator in considering the story presented and was therefore less productive of defensiveness and self-criticism than conventional approaches. The therapy included techniques for negotiating changes in illness narratives, identity narratives, and treatment narratives that were more conducive of well-being and recovery.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Recovery and its correlates among patients with bipolar disorder: A study from a tertiary care centre in North India

2016 ◽  
Vol 62 (8) ◽  
pp. 726-736 ◽  
Author(s):  
Sandeep Grover ◽  
Nandita Hazari ◽  
Jitender Aneja ◽  
Subho Chakrabarti ◽  
Sunil Sharma ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Mental Illness ◽  
Depressive Symptoms ◽  
Rating Scale ◽  
Tertiary Care ◽  
North India ◽  
Personal Recovery ◽  
Tertiary Care Centre ◽  
Young Mania ◽  
Level Of Functioning

Background and Aim: The goal of treatment in mental illness has evolved from a symptom-based approach to a personal recovery–based approach. The aim of this study was to evaluate the predictors of personal recovery among patients with bipolar disorder. Methodology: A total of 185 patients with bipolar disorder, currently in remission, were evaluated on Recovery Assessment Scale (RAS), Internalized Stigma of Mental Illness Scale (ISMIS), Brief Religious coping scale (RCOPE), Duke University Religiosity Index (DUREL), Religiousness Measures Scale, Hamilton depression rating scale (HDRS), Young Mania rating scale (YMRS) and Global Assessment of Functioning (GAF) scale. Results: The mean age of the sample was 40.5 (standard deviation (SD), 11.26) years. Majority of the participants were male, married, working, Hindu by religion and belonged to extended/joint families of urban background. In the regression analysis, RAS scores were predicted significantly by discrimination experience, stereotype endorsement and alienation domains of ISMIS, level of functioning as assessed by GAF, residual depressive symptoms as assessed by HDRS and occupational status. The level of variance explained for total RAS score and various RAS domains ranged from 36.2% to 46.9%. Conclusion: This study suggests that personal recovery among patients with bipolar disorder is affected by stigma, level of functioning, residual depressive symptoms and employment status of patients with bipolar disorder.

scholarly journals Highly Predictive Transdiagnostic Features Shared across Schizophrenia, Bipolar Disorder, and ADHD Identified Using a Machine Learning Based Approach

2018 ◽  
Author(s):  
Yuelu Liu ◽  
Monika S. Mellem ◽  
Humberto Gonzalez ◽  
Matthew Kollada ◽  
Atul R. Mahableshwarkar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Bipolar Disorder ◽  
Psychiatric Disorders ◽  
Patient Group ◽  
Attention Deficit ◽  
The United States ◽  
Self Report ◽  
Healthy Controls ◽  
Cohen’S D ◽  
Cohen's D

AbstractThe Diagnostic and Statistical Manual of Mental Disorders (DSM) is the standard for diagnosing psychiatric disorders in the United States. However, evidence has suggested that symptoms in psychiatric disorders are not restricted to the boundaries between DSM categories, implying an underlying latent transdiagnostic structure of psychopathology. Here, we applied an importance-guided machine learning technique for model selection to item-level data from self-reported instruments contained within the Consortium for Neuropsychiatric Phenomics dataset. From 578 questionnaire items, we identified a set of features which consisted of 85 items that were shared across diagnoses of schizophrenia (SCZ), bipolar disorder (BD), and attention deficit/hyperactivity disorder (ADHD). A classifier trained on the transdiagnostic features reliably distinguished the patient group as a whole from healthy controls (classification AUC = 0.95) and only 10 items were needed to attain the performance level of AUC being 0.90. A sum score created from the items produced high separability between patients and healthy controls (Cohen’s d = 2.85), and it outperformed predefined sum scores and sub-scores within the instruments (Cohen’s d ranging between 0.13 and 1.21). The transdiagnostic features comprised both symptom domains (e.g. dysregulated mood, attention deficit, and anhedonia) and personality traits (e.g. neuroticism, impulsivity, and extraversion). Moreover, by comparing the features that were common across the three patient groups with those that were most predictive of a single patient category, we can describe the unique features for each patient group superimposed on the transdiagnostic feature structure. Overall, our results reveal a latent transdiagnostic symptom/behavioral phenotypic structure shared across SCZ, BD, and ADHD and present a new perspective to understand insights offered by self-report psychiatric instruments.

scholarly journals Mothers with and without bipolar disorder and their infants: group differences in mother-infant interaction patterns at three months postpartum

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Teija M. S. Anke ◽  
Kari Slinning ◽  
Vibeke Moe ◽  
Cathrine Brunborg ◽  
Torill S. Siqveland ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Group Differences ◽  
Maternal Behaviour ◽  
Interaction Patterns ◽  
Young Mania ◽  
Significant Group ◽  
Interaction Quality ◽  
Affective Symptoms

Abstract Background Women with bipolar disorder (BD) have a high risk of illness relapse postpartum. The risk coincides with the period when mother-infant interactions are evolving. We compared mother-infant interactions in dyads where the mothers have BD with dyads where the mothers have no mental disorder. The association between concurrent affective symptoms of BD mothers and interaction quality was investigated. Methods Twenty-six women with BD and 30 comparison women with infants were included. The Parent-Child Early Relational Assessment (PCERA) was used to assess maternal behaviour, infant behaviour and dyadic coordination in interactions at 3 months postpartum. The Inventory of Depressive Symptomatology and Young Mania Rating Scale were used to assess affective symptoms of BD mothers at the time of interaction. Results There were significant group differences with medium to large effect sizes (0.73–1.32) on five of six subscales within the three interactional domains. Most interactional concerns were identified in dyadic coordination. No significant associations were found between maternal symptom load and interaction quality within the BD sample. Forty-six percent of the BD mothers experienced a mood episode within 0–3 months postpartum. Conclusions The present study identified challenges for mothers with BD and their infants in “finding” each other in interaction at 3 months postpartum. If sustained, this interaction pattern may have a long-term impact on children’s development. We suggest interventions specifically focusing on sensitising and supporting mothers to read infants’ cues on a micro-level. This may help them to respond contingently and improve dyadic coordination and synchronicity.

scholarly journals Comorbidity in adults with traumatic brain injury and all-cause mortality: a systematic review

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e029072 ◽  
Author(s):  
Chen Xiong ◽  
Sara Hanafy ◽  
Vincy Chan ◽  
Zheng Jing Hu ◽  
Mitchell Sutton ◽  
...  
Keyword(s):  
Systematic Review ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Self Report ◽  
Qualitative Description ◽  
Comorbid Condition ◽  
Comorbid Conditions ◽  
Eligibility Criteria ◽  
Wide Range ◽  
All Cause Mortality

ObjectivesComorbidity in traumatic brain injury (TBI) has been recognised to alter the clinical course of patients and influence short-term and long-term outcomes. We synthesised the evidence on the effects of different comorbid conditions on early and late mortality post-TBI in order to (1) examine the relationship between comorbid condition(s) and all-cause mortality in TBI and (2) determine the influence of sociodemographic and clinical characteristics of patients with a TBI at baseline on all-cause mortality.DesignSystematic review.Data sourcesMedline, Central, Embase, PsycINFO and bibliographies of identified articles were searched from May 1997 to January 2019.Eligibility criteria for selecting studiesIncluded studies met the following criteria: (1) focused on comorbidity as it related to our outcome of interest in adults (ie, ≥18 years of age) diagnosed with a TBI; (2) comorbidity was detected by any means excluding self-report; (3) reported the proportion of participants without comorbidity and (4) followed participants for any period of time.Data extraction and synthesisTwo independent reviewers extracted the data and assessed risk of bias using the Quality in Prognosis Studies tool. Data were synthesised through tabulation and qualitative description.ResultsA total of 27 cohort studies were included. Among the wide range of individual comorbid conditions studied, only low blood pressure was a consistent predictors of post-TBI mortality. Other consistent predictors were traditional sociodemographic risk factors. Higher comorbidity scale, scores and the number of comorbid conditions were not consistently associated with post-TBI mortality.ConclusionsGiven the high number of comorbid conditions that were examined by the single studies, research is required to further substantiate the evidence and address conflicting findings. Finally, an enhanced set of comorbidity measures that are suited for the TBI population will allow for better risk stratification to guide TBI management and treatment.PROSPERO registration numberCRD42017070033

Therapeutic effect and tolerability of quetiapine XR in patients with manic episode, bipolar disorder I

2011 ◽  
Vol 26 (S2) ◽  
pp. 220-220
Author(s):  
M. Ladea ◽  
L.S. Grosu ◽  
M.C. Sinca ◽  
M.C. Sarpe
Keyword(s):  
Bipolar Disorder ◽  
Aggressive Behavior ◽  
Rating Scale ◽  
Involuntary Movement ◽  
Good Control ◽  
Manic Episode ◽  
Extrapyramidal Symptoms ◽  
Young Mania ◽  
Acute Relapse ◽  
Quetiapine Xr

IntroductionAgitation and aggressive behavior are common symptoms in patients with an acute relapse of bipolar mania.ObjectivesQuetiapine XR is an effective treatment in agitated patients with an acute relapse of bipolar disorder.AimsThe aim of this study was to assess the efficacy and tolerability of Quetiapine XR in patients with manic episode.MethodsThis naturalistic, observational study evaluated 45 patients diagnosed with manic episode, bipolar disorder I (DSM IV-TR) for a period of 4 weeks, during which the patients received Quetiapine XR, in doses between 800 mg and 1000 mg per day, using a rapid titration scheme.Efficacy of the treatment was measured using Young Mania Rating Scale (YMRS) and Clinical Global Impression Scale (CGI), performed at baseline, and then weekly. The Overt Aggression Scale-Modified (OAS-M) was used daily until day 4 and then once per week. Extrapyramidal symptoms were assessed with Barnes Akathisia Rating Scale and Abnormal Involuntary Movement Scale.ResultsImportant improvement of OAS-M total score was observed from the second day of treatment. After 4 weeks, more than a half of the patients presented a decrease of YMRS score with more than 50%. The CGI score also significantly improved. The treatment was well tolerated, mild to moderated adverse reactions being registered, without extrapyramidal symptoms.ConclusionsThese results confirm that Quetiapine XR is an effective and safe treatment for patients with an acute relapse of bipolar disorder I, the rapid titration scheme of the doses leading to a good control of aggressive behavior.

scholarly journals Does the efficacy of asenapine in bipolar disorder increase in the presence of comorbidity with a substance use disorder? A naturalistic study

2016 ◽  
Vol 7 (2) ◽  
pp. 67-77 ◽  
Author(s):  
Sergio De Filippis ◽  
Ilaria Cuomo ◽  
Georgios D. Kotzalidis ◽  
Daniela Pucci ◽  
Pietro Zingaretti ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Substance Use ◽  
Substance Use Disorder ◽  
Repeated Measures ◽  
Rating Scale ◽  
Type I ◽  
Open Label ◽  
Young Mania ◽  
Psychiatric Rating ◽  
Psychiatric Rating Scale

Background: Asenapine is a second-generation antipsychotic approved in Europe for treating moderate-to-severe manic episodes in adults affected by type I bipolar disorder (BD-I). We aimed to compare its efficacy in psychiatric inpatients with BD-I, with or without substance use disorder (SUD). Methods: We administered flexible asenapine doses ranging from 5–20 mg/day to 119 voluntarily hospitalized patients with Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM-IV-TR) BD-I diagnosis, with or without SUD. Patients were assessed with clinician-rated questionnaires [i.e. Brief Psychiatric Rating Scale (BPRS), Young Mania Rating Scale (YMRS), Hamilton Depression Rating Scale (HDRS), Hamilton Anxiety Rating Scale (HARS), and Global Assessment of Functioning (GAF)]. Assessments were carried out at baseline (T0, prior to treatment), and 3 (T1), 7 (T2), 15 (T3), and 30 days (T4) after starting treatment for all clinical scales and at T0 and T4 for the GAF. Results: Patients improved on all scales ( p < 0.001) across all timepoints, as shown both by paired-sample comparisons and by applying a repeated-measures, generalized linear model (GLM). Patients without comorbid SUD showed greater reductions in BPRS scores at T2 and T3, greater reduction in YMRS scores at T3, and lower HARS scores at all timepoints. HDRS scores did not differ between the two groups at any timepoint. However, the reduction in HARS scores in the comorbid group was stronger than in the BD-I only group, albeit not significantly. Side effects were few and mild-to-moderate. Conclusions: The open-label design and the relatively short observation period may expose to both type I and type II statistical errors (false positive and false negatives). Asenapine showed effectiveness and safety in hospitalized BD-I patients. Its effect was stronger in patients without comorbid SUD.

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