Wendy K. Marsh

Impact Of Sunlight on the Age Of Onset Of Bipolar Disorder

Bauer M, Glenn T, Alda M, Andreassen OA, Ardau R, Bellivier F, Berk M, Bjella TD, Bossini L, Del Zompo M, Dodd S, Fagiolini A, Frye MA, Gonzalez‐Pinto A, Henry C, Kapczinski F, Kliwicki S, König B, Kunz M, Lafer B, Lopez‐Jaramillo C, Manchia M, Marsh W, Martinez‐Cengotitabengoa M, Melle I, Morken G, Munoz R, Nery FG, O’Donovan C, Pfennig A, Quiroz D, Rasgon N, Reif A, Rybakowski J, Sagduyu K, Simhandl C, Torrent C, Vieta E, Zetin M, Whybrow PC. Impact of sunlight on the age of onset of bipolar disorder. Bipolar Disord 2012: 14: 654–663.

New medication treatment options for bipolar disorders

Objective:  To assess new treatment options for bipolar disorders.

Effectiveness of lamotrigine in bipolar disorder in a clinical setting

OBJECTIVE To assess lamotrigine effectiveness in bipolar disorder (BD) patients in a clinical setting. METHOD Open lamotrigine was naturalistically administered to outpatients at the Stanford University BD Clinic assessed with the Systematic Treatment Enhancement Program for BD (STEP-BD) Affective Disorders Evaluation, and monitored longitudinally with the STEP-BD Clinical Monitoring Form. RESULTS One hundred and ninety-seven patients (64 BD I, 110 BD II, 21 BD NOS, 2 Schizoaffective Bipolar Type, mean+/-SD age 42.2+/-14.4 years, 62% female) had 200 trials of lamotrigine. Lamotrigine was combined with a mean of 2.1+/-1.5 other psychotropic medications, most often during euthymia or depressive symptoms. Mean lamotrigine duration was 434+/-444 days, and mean final dose was 236+/-132mg/day without valproate, and 169+/-137mg/day with valproate. Lamotrigine was discontinued in only 26.5% of trials at 255+/-242 days, most often due to inefficacy, and seldom due to adverse effects. In 31.5% of trials lamotrigine was continued 264+/-375 days with no subsequent psychotropic added. In 42.0% of trials lamotrigine was continued 674+/-479 days, but had subsequent psychotropic added at 146+/-150 days, most often for anxiety/insomnia and depressive symptoms. In 145 trials started at Stanford, lamotrigine primarily yielded relief of depressive symptoms or maintained euthymia. In 55 trials in which lamotrigine was started prior to Stanford, lamotrigine primarily maintained euthymia. Lamotrigine was generally well tolerated, with no serious rash, and only 3.5% discontinuing due to benign rash. CONCLUSION In a cohort of bipolar disorder outpatients commonly with comorbid conditions, and most often receiving complex combination therapy, lamotrigine had a low (26.5%, with an overall mean duration of treatment of 434 days) discontinuation rate, suggesting effectiveness in BD in a clinical setting.

Relationship between sunlight and the age of onset of bipolar disorder: an international multisite study.

BACKGROUND The onset of bipolar disorder is influenced by the interaction of genetic and environmental factors. We previously found that a large increase in sunlight in springtime was associated with a lower age of onset. This study extends this analysis with more collection sites at diverse locations, and includes family history and polarity of first episode. METHODS Data from 4037 patients with bipolar I disorder were collected at 36 collection sites in 23 countries at latitudes spanning 3.2 north (N) to 63.4 N and 38.2 south (S) of the equator. The age of onset of the first episode, onset location, family history of mood disorders, and polarity of first episode were obtained retrospectively, from patient records and/or direct interview. Solar insolation data were obtained for the onset locations. RESULTS There was a large, significant inverse relationship between maximum monthly increase in solar insolation and age of onset, controlling for the country median age and the birth cohort. The effect was reduced by half if there was no family history. The maximum monthly increase in solar insolation occurred in springtime. The effect was one-third smaller for initial episodes of mania than depression. The largest maximum monthly increase in solar insolation occurred in northern latitudes such as Oslo, Norway, and warm and dry areas such as Los Angeles, California. LIMITATIONS Recall bias for onset and family history data. CONCLUSIONS A large springtime increase in sunlight may have an important influence on the onset of bipolar disorder, especially in those with a family history of mood disorders.

Comparison of sleep/wake parameters for self-monitoring bipolar disorder

BACKGROUND Psychosocial interventions may teach patients with bipolar disorder to successfully detect warning signs of relapse. These interventions often include ongoing self-monitoring of sleep. We previously reported that a change in sleep duration (sleep plus bedrest) of >3 h may indicate that a mood change is imminent. This analysis further investigated whether sleep duration, sleep onset or sleep offset was the most useful sleep/wake parameter to monitor for an oncoming mood change. METHODS 101 adult outpatients receiving treatment as usual recorded mood, sleep and medications every day on a home computer for a mean of 265+/-103 days. A daily time series of mood, sleep duration (sleep plus bedrest), sleep onset and sleep offset was constructed for each patient. After applying an ARIMA (0,1,1) filter, a cross correlation function was used to analyze the temporal relationship between the residuals for lags of +/-7 days. RESULTS Less frequent significant correlations were found between a change in either sleep onset or sleep offset and mood, than between sleep duration and mood. Patients with a significant correlation between sleep duration and mood included 86% of those with a significant correlation between sleep onset or sleep offset and mood. Mean sleep duration when euthymic was long (> or =8 h in 89% of patients, > or =9 h in 51% of patients). LIMITATIONS Self-reported data, naturalistic study, and computer access required. CONCLUSIONS Self-monitoring of sleep duration is recommended for patients with bipolar disorder. Better understanding of the long sleep duration of euthymic patients is required.

Influence of light exposure during early life on the age of onset of bipolar disorder

BACKGROUND Environmental conditions early in life may imprint the circadian system and influence response to environmental signals later in life. We previously determined that a large springtime increase in solar insolation at the onset location was associated with a younger age of onset of bipolar disorder, especially with a family history of mood disorders. This study investigated whether the hours of daylight at the birth location affected this association. METHODS Data collected previously at 36 collection sites from 23 countries were available for 3896 patients with bipolar I disorder, born between latitudes of 1.4 N and 70.7 N, and 1.2 S and 41.3 S. Hours of daylight variables for the birth location were added to a base model to assess the relation between the age of onset and solar insolation. RESULTS More hours of daylight at the birth location during early life was associated with an older age of onset, suggesting reduced vulnerability to the future circadian challenge of the springtime increase in solar insolation at the onset location. Addition of the minimum of the average monthly hours of daylight during the first 3 months of life improved the base model, with a significant positive relationship to age of onset. Coefficients for all other variables remained stable, significant and consistent with the base model. CONCLUSIONS Light exposure during early life may have important consequences for those who are susceptible to bipolar disorder, especially at latitudes with little natural light in winter. This study indirectly supports the concept that early life exposure to light may affect the long term adaptability to respond to a circadian challenge later in life.

Drug treatment patterns in bipolar disorder: analysis of long-term self-reported data

BackgroundThe objective of this study is to investigate drug treatment patterns in bipolar disorder using daily data from patients who received treatment as usual.MethodsPatients self-reported the drugs taken daily for about 6 months. Daily drug use and drug combinations were determined for each patient, both by the specific drugs and by medication class. The drug load was calculated for all drugs taken within a medication class.Results and discussionFour hundred fifty patients returned a total of 99,895 days of data (mean 222.0 days). The most frequently taken drugs were mood stabilizers. Of the 450 patients, 353 (78.4%) took a stable drug combination for ≥50% of days. The majority of patients were taking polypharmacy, including 75% of those with a stable combination. Only a small number of drugs were commonly taken within each medication class, but there were a large number of unique drug combinations: 52 by medication class and 231 by specific drugs. Eighty percent of patients with a stable combination were taking three or less drugs daily. Patients without a stable combination took drugs but made frequent changes. Taking more than one drug within a medication class greatly increased the drug load.To summarize, (1) patients were more likely to take a mood stabilizer than any other drug; (2) although most patients were taking polypharmacy, there were no predominant drug regimens even among those taking a stable combination; and (3) most patients with a stable combination take a relatively small number of drugs daily. The wide variation in drug regimens and numerous possible drug combinations suggest that more evidence is needed to optimize treatment of bipolar disorder.

The association between concurrent psychotropic medications and self-reported adherence with taking a mood stabilizer in bipolar disorder

Multiple psychotropic medications are routinely prescribed to treat bipolar disorder, creating complex medication regimens. This study investigated whether the daily number of psychotropic medications or the daily number of pills were associated with self‐reported adherence with taking a mood stabilizer.

Increased depressive symptoms in menopausal age women with bipolar disorder: Age and gender comparison

OBJECTIVE Emerging data suggest the menopausal transition may be a time of increased risk for depression. This study examines the course of bipolar disorder focusing on depressive symptoms in menopausal transition age women, compared to similar-aged men as well as younger adult women and men. METHODS Outpatients with bipolar disorder were assessed with the systematic treatment enhancement program for bipolar disorder (STEP-BD) affective disorders evaluation and longitudinally monitored during naturalistic treatment with the STEP-BD clinical monitoring form. Clinical status (syndromal/subsyndromal depressive symptoms, syndromal/subsyndromal elevation or mixed symptoms, and euthymia) was compared between menopausal transition age women (n=47) and pooled similar-aged men (n=30) 45-55 years old, younger women (n=48) and men (n=39) 30-40 years old. RESULTS Subjects included 164 bipolar disorder patients (67 type I, 82 type II, and 15 not otherwise specified), 34% were rapid cycling and 58% women. Bipolar II disorder/bipolar NOS was more common in women. Monitoring averaged 30+/-22 months, with an average of 0.9+/-0.5 clinic visits/month. Menopausal age women had a significantly greater proportion of visits with depressive symptoms (p<0.05), significantly fewer euthymic visits (p<0.05) and no difference in proportion of visits with elevated/mixed symptoms compared to pooled comparison group. CONCLUSIONS Menopausal transition age women with bipolar disorder experience a greater proportion of clinic visits with depressive symptoms compared to similarly aged men, and younger women and men with bipolar disorder. Further systematic assessment on the influence of the menopausal transition and reproductive hormones upon mood is needed to better inform clinical practice in treating women with bipolar disorder.

Influence of birth cohort on age of onset cluster analysis in bipolar I disorder

PURPOSE Two common approaches to identify subgroups of patients with bipolar disorder are clustering methodology (mixture analysis) based on the age of onset, and a birth cohort analysis. This study investigates if a birth cohort effect will influence the results of clustering on the age of onset, using a large, international database. METHODS The database includes 4037 patients with a diagnosis of bipolar I disorder, previously collected at 36 collection sites in 23 countries. Generalized estimating equations (GEE) were used to adjust the data for country median age, and in some models, birth cohort. Model-based clustering (mixture analysis) was then performed on the age of onset data using the residuals. Clinical variables in subgroups were compared. RESULTS There was a strong birth cohort effect. Without adjusting for the birth cohort, three subgroups were found by clustering. After adjusting for the birth cohort or when considering only those born after 1959, two subgroups were found. With results of either two or three subgroups, the youngest subgroup was more likely to have a family history of mood disorders and a first episode with depressed polarity. However, without adjusting for birth cohort (three subgroups), family history and polarity of the first episode could not be distinguished between the middle and oldest subgroups. CONCLUSION These results using international data confirm prior findings using single country data, that there are subgroups of bipolar I disorder based on the age of onset, and that there is a birth cohort effect. Including the birth cohort adjustment altered the number and characteristics of subgroups detected when clustering by age of onset. Further investigation is needed to determine if combining both approaches will identify subgroups that are more useful for research.