Dynamic time warp analysis of individual symptom trajectories in individuals with bipolar disorder.

BACKGROUND: Manic and depressive mood states in bipolar disorder (BD) may emerge from the non-linear relations between constantly changing mood symptoms exhibited as a complex dynamic system. Dynamic Time Warp (DTW) is an algorithm that may capture symptom interactions from panel data with sparse observations over time. METHODS: The Young Mania Rating Scale and Quick Inventory of Depressive Symptomatology were repeatedly assessed in 141 individuals with BD, with on average 5.5 assessments per subject every 3-6 months. Dynamic Time Warp calculated the distance between each of the 27 × 27 pairs of standardized symptom scores. The changing profile of standardized symptom scores of BD participants was analyzed in individual subjects, yielding symptom dimensions in aggregated group-level analyses. Using an asymmetric time-window, symptom changes that preceded other symptom changes (i.e., Granger causality) yielded a directed network. RESULTS: The mean age of the BD participants was 40.1 (SD 13.5) years old, and 60% were female participants. Idiographic symptom networks were highly variable between subjects. Yet, nomothetic analyses showed five symptom dimensions: core (hypo)mania (6 items), dysphoric mania (5 items), lethargy (7 items), somatic/suicidality (6 items), and sleep (3 items). Symptoms of the "Lethargy" dimension showed the highest out-strength, and its changes preceded those of "somatic/suicidality," while changes in "core (hypo)mania" preceded those of "dysphoric mania." CONCLUSION: Dynamic Time Warp may help to capture meaningful BD symptom interactions from panel data with sparse observations. It may increase insight into the temporal dynamics of symptoms, as those with high out-strength (rather than high in-strength) could be promising targets for intervention.

[Bipolar disorder and alcohol use disorder: practical recommendations for treatment, based on a literature review]. / Bipolaire stoornissen en alcoholafhankelijkheid; praktische aanbevelingen voor behandeling op basis van een systematische literatuurstudie.

BACKGROUND: A fairly large proportion (25-50%) of patients with bipolar disorder (bd) also suffer from comorbid alcohol use disorder (aud). However, little is known how this type of morbidity should be treated. It is also unclear whether the current guidelines on bd have been influenced by aud.
AIM: To provide an overview of recent literature concerning the diagnosis and treatment of comorbid bd and aud.
METHOD: We systematically reviewed studies that have addressed three treatment options for this group of patients: pharmaco-therapy, psychological interventions and self-management techniques.
RESULTS: If health professionals decide to treat bd using a pharmaco-therapeutic intervention, they must proceed with caution because the patient may also be suffering from aud. From the very limited number of published articles on this subject, we conclude that the best solution to the problem is to add valproate to the lithium-based treatment. There is also limited evidence that other effective treatments may include the use of integrated psychological interventions, cognitive behavioural therapy and self-management techniques, but these possibilities need further investigation.
CONCLUSION: Treatment of patients suffering from both bd and aud should always focus on both disorders, either simultaneously or separately. If this approach is successful it is vitally important that care is better organised and that there is cooperation between institutions involved in treating addiction disorders and departments that specialise in the care of bd. These improvements are likely to lead to further developments and to more research into new forms of integrated treatment.

High educational performance is a distinctive feature of bipolar disorder: a study on cognition in bipolar disorder, schizophrenia patients, relatives and controls.

BACKGROUND: Schizophrenia is associated with lower intelligence and poor educational performance relative to the general population. This is, to a lesser degree, also found in first-degree relatives of schizophrenia patients. It is unclear whether bipolar disorder I (BD-I) patients and their relatives have similar lower intellectual and educational performance as that observed in schizophrenia. METHOD: This cross-sectional study investigated intelligence and educational performance in two outpatient samples [494 BD-I patients, 952 schizophrenia spectrum (SCZ) patients], 2231 relatives of BD-I and SCZ patients, 1104 healthy controls and 100 control siblings. Mixed-effects and regression models were used to compare groups on intelligence and educational performance. RESULTS: BD-I patients were more likely to have completed the highest level of education (odds ratio 1.88, 95% confidence interval 1.66-2.70) despite having a lower IQ compared to controls (ß = -9.09, S.E. = 1.27, p < 0.001). In contrast, SCZ patients showed both a lower IQ (ß = -15.31, S.E. = 0.86, p < 0.001) and lower educational levels compared to controls. Siblings of both patient groups had significantly lower IQ than control siblings, but did not differ on educational performance. IQ scores did not differ between BD-I parents and SCZ parents, but BD-I parents had completed higher educational levels. CONCLUSIONS: Although BD-I patients had a lower IQ than controls, they were more likely to have completed the highest level of education. This contrasts with SCZ patients, who showed both intellectual and educational deficits compared to healthy controls. Since relatives of BD-I patients did not demonstrate superior educational performance, our data suggest that high educational performance may be a distinctive feature of bipolar disorder patients.

The bidirectional impact of perceived and enacted support on mood in bipolar outpatients: A two-year prospective study.

Bipolar disorder (BD) is a chronic illness, and a great need has been expressed to elucidate factors affecting the course of the disease. Social support is one of the psychosocial factors that is assumed to play an important role in the course of BD, but it is largely unknown whether the depressive and/or manic symptoms also affect the patients' support system. Further, the perception of one's social support appears to have stronger effects on disease outcomes than one's enacted or received support, but whether this also applies to BD has not been investigated. The objective of this study is to examine temporal, bidirectional associations between mood states (depression and mania) and both enacted and perceived support in BD patients. The current study was conducted among 173 BD I and II outpatients, with overall light to mild mood symptoms. Severity of mood symptoms and social support (enacted as well as perceived) were assessed every 3months, for 2years (1146 data points). Multilevel regression analyses (linear mixed-models) showed that lower perceived support during 3months was associated with subsequent higher levels of depressive, but not of manic symptoms in the following 3months. Vice versa, depressive symptoms during 3months were associated with less perceived support in the following 3months. Further, manic symptoms during 3months were associated with less enacted support in the subsequent 3 months. The current study suggests that perceived, but not enacted, support is consistently related to depressive symptoms in a bidirectional way, while mania is specifically associated with a subsequent loss of enacted support. Clinical implications of the current findings are discussed.

[Depression during the perimenopause]. / Depressie tijdens de perimenopauze.

BACKGROUND: Women are believed to be more vulnerable to depression during the perimenopause than during the premenopausal period. In clinical practice little attention has been given to the relationship between the menopause and depression. AIM: To provide an overview of the literature on the relationship between the perimenopause and the development of depression and to analyse the relationship between hormonal fluctuations and depression. METHOD: We consulted the databases of PubMed, Web of Science and the Cochrane library, searching for epidemiologic studies on perimenopausal depression. We selected 22 studies relating to the prevalence of and the risk of depression during perimenopause. RESULTS: Most of the 22 epidemiological studies selected suggest that the chances of developing depression during the perimenopause are higher than during during the premenopausal period. We found no unambiguous correlation between the fluctuation of hormones (e.g. oestrogen) and depression. A possible reason for this finding is that it is difficult to measure these hormones accurately. CONCLUSION: The chances of developing depression seem to be higher during the perimenopause than during the premenopause. The difficulty in measuring the fluctuations of female hormones during the perimenopausal stage may be the reason why no correlation between depression and the fluctuations of hormones has yet been unambiguously established. Future studies and meta-analysis could provide a more accurate estimate of the risk of developing depression during the perimenopause and could give detailed information about the relationship between hormonal factors and perimenopausal depression.

[New insights into ways of determining cortisol exposure in patients with bipolar disorder]. / Nieuwe inzichten in de evaluatie van cortisolblootstelling bij patiënten met een bipolaire stoornis.

BACKGROUND: Previous research has shown a relationship between the stress hormone cortisol and bipolar disorder. The level of cortisol exposure is usually examined by means of measurements that provide a snapshot of cortisol exposure or by means of dynamic testing. Recently, a new technique has been introduced which can measure, retrospectively, the cortisol level in scalp hair over longer periods of time. AIM: To provide insight into various methods used in psychiatry for measuring the hypothalamus-pituitary-adrenal (HPA)-axis activity and also to highlight recent research into measurements of cortisol in scalp hair of patients with bipolar disorder. METHOD: We give a brief overview of the literature relating to HPA-axis testing in psychiatric patients. As a result of our recent studies with 100 patients suffering from bipolar disorder, we are now able to determine the levels of cortisol in scalp hair. RESULTS: Tests that measure hpa activity can be divided into three categories: point measurements, stimulation tests and inhibition tests. In our recent study of bipolar patients we found that a raised level of cortisol in scalp hair was related to a later onset of bipolar disorder (in patients over 30) or to multiple psychiatric diagnoses. Lower levels of cortisol level in scalp hair of bipolar patients were observed in bipolar patients with comorbid panic disorder. CONCLUSION: The use of hair analysis to measure mean cortisol levels over long periods seems to give added value to the hpa-axis tests currently used for measuring cortisol exposure. The technique may make it easier to differentiate between various subtypes of bipolar disorder.

Glucocorticoid sensitivity in mood disorders.

In this review, we provide an overview of recent literature on glucocorticoid (GC) sensitivity in mood disorders. Assessing GC sensitivity is often performed by measuring the cortisol awakening rise (CAR), by challenging the hypothalamic-pituitary-adrenal (HPA) axis using a dexamethasone suppression test (DST) or a dexamethasone/cortisol-releasing hormone test (DEX/CRH); more recently by measuring cortisol as a retrospective calendar in scalp hair. The main findings in mood disorders are higher mean cortisol levels in hair samples and a higher CAR, showing a hyperactivity of the HPA axis. This is in line with the mild resistance for GCs previously observed in challenge tests during mood episodes. GC sensitivity is partly determined by polymorphisms in the genes encoding receptors and other proteins involved in the regulation of the HPA axis. We shortly discuss the glucocorticoid receptor, as well as the mineralocorticoid receptor, the cortisol-releasing hormone receptor-1, and the glucocorticoid receptor co-chaperone FKBP5. Data clearly indicate genetic changes, along with epigenetic changes which influence the set-point and regulation of the HPA axis. Early trauma, as well as influences in utero, appears to be important. Future research is necessary to further clarify the biological background and consequences of an individual's cortisol exposure in relation to mood.

Personality traits and the risk of incident (hypo)mania among subjects initially suffering from depressive and anxiety disorders in a 9-year cohort study.

BACKGROUND: Bipolar disorder (BD) is characterized by the alternating occurrence of (hypo)manic and depressive episodes. The aim of the current study was to determine whether personality traits independently predicted the subsequent development of (hypo)manic episodes within a group of patients who were initially diagnosed with depressive and anxiety disorders. METHODS: The Netherlands Study of Depression and Anxiety is a cohort study with measurements taken at baseline and at 2-, 4-, 6-, and 9-year follow-up. Development of a (hypo)manic episode during follow-up was assessed with the Composite International Diagnostic Interview and (hypo)manic symptoms were evaluated with the Mood Disorder Questionnaire. The Big Five personality traits were the independent variables in multivariable Cox regression analyses. RESULTS: There were 31 incident cases of (hypo)manic episodes (n = 1888, mean age 42.5 years, 68.3% women), and 233 incident cases of (hypo)manic symptoms (n = 1319, mean age 43.1, 71.9% women). In multivariable analyses, low agreeableness was independently associated with an increased risk of developing a (hypo)manic episode, with a hazard ratio (HR) of 0.54 (p = 0.002, 95% CI [0.37, 0.78]). This finding was consistent with the development of (hypo)manic symptoms (HR 0.77, p = 0.001, 95% CI [0.66, 0.89]). LIMITATIONS: The 2-year lag-time analysis reduced the number of participants at risk of a (hypo)manic episode. CONCLUSIONS: We conclude that low agreeableness is a personality-related risk factor for incident (hypo)mania among subjects initially suffering from depressive and anxiety disorders. Increased attention to personality deviances could help to recognize BD at an early stage.

Depression during the perimenopause: A meta-analysis.

BACKGROUND: Women are believed to be more vulnerable to develop a depression or depressive symptoms during the perimenopause. Estimates from individual studies are heterogeneous and hence true risk estimate is unknown. OBJECTIVE: This study investigated the risk on clinical depression and depressive symptoms during the perimenopause when compared to other female hormonal stages. METHODS: We performed a meta-analysis of 11 studies identified in Pubmed, Web of Science and the Cochrane library (up to July 2015). Studies were included when the perimenopause was defined according the criteria of Stages of Reproductive Aging Workshop (STRAW). The outcome measures were Odds Ratio's (OR) on depression diagnosis and depressive symptoms and standardized mean difference (Hedges's g) in depression scores during each menopausal stage. RESULTS: The odds to develop a depression were not significantly higher during the perimenopause than in the premenopause (OR=1.78 95% CI=0.99-3.2; p=0.054). A higher risk was found on depressive symptoms during the perimenopause as compared to the premenopause (OR=2.0, 95% CI=1.48-2.71; p<0.001) but not compared to the postmenopause (OR=1.07, 95% CI=0.737-1.571; p=0.70). There was a higher symptom severity of depression in the perimenopause when compared to the premenopause (Hedges's g=0.44, 95% CI=0.11-0.73, p=0.007). The odds on vasomotor symptoms and depression were 2.25 (95% CI=1.14-3.35; p<0.001) during the perimenopause. LIMITATIONS: Time interval in measuring the depressive symptoms was different in studies. Menopausal symptoms possibly may have confounded our results by increasing the scores on depression questionnaires. Publication bias needs to be considered. CONCLUSION: The perimenopause is a phase in which women are particular vulnerable to develop depressive symptoms and have higher symptom severity compared to the premenopause. There are indications that vasomotor symptoms are positively related to depressive symptoms during menopausal transition.

The use of the prospective NIMH Life Chart Method as a bipolar mood assessment method in research: a systematic review of different methods, outcome measures and interpretations.

BACKGROUND: The severity of bipolar disorder can be assessed using the daily prospective National Institute of Mental Health׳s Life Chart Method (LCM-p). Also for scientific research the LCM-p, has been used frequently. However, processing and analyzing the LCM-p for research purposes, are challenging because of the multitude of complex measures that can be derived from the data. In the current paper we review the different LCM-p course variables (mood episodes, average severity, proportion of time ill and mood switches) and their definitions. Strengths and limitations and the impact of the use of different LCM-p course measures and definitions on the research results are described. METHOD: A systematic review of original papers on the LCM was conducted using 9 electronic databases for literature between January 1996 and December 2014. Papers using other prospective charting procedures were not evaluated in the current study. RESULTS: The initial literature search led to 1352 papers of which 21 were eventually selected. A relatively wide variety of definitions of LCM-p course variables was used across the studies. Especially for the calculation of number of episodes and mood switch no univocal definition seems to exist. Across studies several different durations and severity criteria are applied to calculate these variables. We describe which variables and definitions are most suitable for detecting specific bipolar disease course characteristics and patterns. CONCLUSION: In the absence of a golden standard for the calculation of LCM-p course variables, researchers should report the exact method they applied to their LCM-p data, and clearly motivate why this is their method of first choice considering their research aim.

A Network Approach to Bipolar Symptomatology in Patients with Different Course Types.

OBJECTIVE: The longitudinal mood course is highly variable among patients with bipolar disorder(BD). One of the strongest predictors of the future disease course is the past disease course, implying that the vulnerability for developing a specific pattern of symptoms is rather consistent over time. We therefore investigated whether BD patients with different longitudinal course types have symptom correlation networks with typical characteristics. To this end we used network analysis, a rather novel approach in the field of psychiatry. METHOD: Based on two-year monthly life charts, 125 patients with complete 2 year data were categorized into three groups: i.e., a minimally impaired (n = 47), a predominantly depressed (n = 42) and a cycling course (n = 36). Associations between symptoms were defined as the groupwise Spearman's rank correlation coefficient between each pair of items of the Young Mania Rating Scale (YMRS) and the Quick Inventory of Depressive Symptomatology (QIDS). Weighted symptom networks and centrality measures were compared among the three groups. RESULTS: The weighted networks significantly differed among the three groups, with manic and depressed symptoms being most strongly interconnected in the cycling group. The symptoms with top centrality that were most interconnected also differed among the course group; central symptoms in the stable group were elevated mood and increased speech, in the depressed group loss of self-esteem and psychomotor slowness, and in the cycling group concentration loss and suicidality. CONCLUSION: Symptom networks based on the timepoints with most severe symptoms of bipolar patients with different longitudinal course types are significantly different. The clinical interpretation of this finding and its implications are discussed.

Stressful life events in bipolar I and II disorder: cause or consequence of mood symptoms?

BACKGROUND: Life events are assumed to be triggers for new mood episodes in bipolar disorder (BD). However whether life events may also be a result of previous mood episodes is rather unclear. METHOD: 173 bipolar outpatients (BD I and II) were assessed every three months for two years. Life events were assessed by Paykel׳s self-report questionnaire. Both monthly functional impairment due to manic or depressive symptomatology and mood symptoms were assessed. RESULTS: Negative life events were significantly associated with both subsequent severity of mania and depressive symptoms and functional impairment, whereas positive life events only preceded functional impairment due to manic symptoms and mania severity. These associations were significantly stronger in BD I patients compared to BD II patients. For the opposite temporal direction (life events as a result of mood/functional impairment), we found that mania symptoms preceded the occurrence of positive life events and depressive symptoms preceded negative life events. LIMITATIONS: The use of a self-report questionnaire for the assessment of life events makes it difficult to determine whether life events are cause or consequence of mood symptoms. Second, the results can only be generalized to relatively stable bipolar outpatients, as the number of severely depressed as well as severely manic patients was low. CONCLUSIONS: Life events appear to precede the occurrence of mood symptoms and functional impairment, and this association is stronger in BD I patients. Mood symptoms also precede the occurrence of life event, but no differences were found between BD I and II patients.

Glucocorticoid and mineralocorticoid receptor polymorphisms and clinical characteristics in bipolar disorder patients.

INTRODUCTION: The hypothalamus-pituitary-adrenal (HPA)-axis is often found to be dysregulated in bipolar disorder (BD) while stress and changes in day-night rhythms can trigger a new mood episode. Genetic variants of the glucocorticoid receptor (GR)- and mineralocorticoid receptor (MR)-gene influence both the reactivity of the stress-response and associate with changes in mood. In this study we tested the hypothesis that these polymorphisms associate with different clinical characteristics of BD. METHODS: We studied 326 outpatients with BD and performed GR genotyping of the TthIIII, ER22/23EK, N363S, BclI, and 9ß polymorphisms, as well as MR genotyping of the 2G/C and I180V variants. All patients were interviewed for clinical characteristics. RESULTS: Seasonal patterns of hypomania are related to the BclI haplotype and the TthIIII+9ß haplotype of the GR gene (respectively, crude p=.007 and crude p=.005). Carriers of the ER22/23EK polymorphism had an almost 8 years earlier onset of their first (hypo)manic episode than non-carriers (crude p=.004, after adjustment p=.016). No evidence for a role of the MR in modifying clinical manifestations was found. CONCLUSION: Polymorphisms of the GR-gene are factors which influence some clinical manifestations of BD, with respect to seasonal pattern of (hypo)mania and age of onset.