Altshuler, Lori L.

ObjectiveBipolar disorder has a wide range of clinical manifestations which may progress over time. The aim of this study was to test the applicability of a clinical staging model for bipolar disorder and to gain insight into the nature of the variables influencing progression through consecutive stages.MethodsUsing retrospectively reported longitudinal life chart data of 99 subjects from the Stanley Foundation Bipolar Network Naturalistic Follow‐up Study, the occurrence, duration and timely sequence of stages 2‐4 were determined per month. A multi‐state model was used to calculate progression rates and identify determinants of illness progression. Stages 0, 1 and several other variables were added to the multi‐state model to determine their influence on the progression rates.ResultsFive years after onset of BD (stage 2), 72% reached stage 3 (recurrent episodes) and 21% had reached stage 4 (continuous episodes), of whom 8% recovered back to stage 3. The progression from stage 2 to 3 was increased by a biphasic onset for both the depression‐mania and the mania‐depression course and by male sex.ConclusionsStaging is a useful model to determine illness progression in longitudinal life chart data. Variables influencing transition rates were successfully identified.

Introduction Instead of the typical assessment of risk of illness in the offspring based on a parent with bipolar disorder, we explored the potential multigenerational conveyance across several disorders of the vulnerability to illness in the offspring of a patient with bipolar disorder. Methods A total of 968 outpatients (average age 41 years) with bipolar illness gave informed consent and filled out a detailed questionnaire about a family history in their parents, grandparents, and offspring of: depression; bipolar disorder; alcohol abuse; substance abuse; suicide attempt; or “other” illness. Of those with children, 346 were from the USA and 132 were from Europe. Amount and type of illness in progenitors in two and three previous generations were related to offspring illness. Results The type of illness seen in both prior generations was associated with the same type of illness in the offspring of a bipolar patient, including depression, bipolar disorder, alcohol and substance abuse and “other” illness, but not suicide attempts. There was an impact of multiple generations, such that depression in grandparents and/or great‐grandparents increased the risk of depression in the offspring from 12.6% to 41.4%. Conclusions A family history of illness burden in prior generations was previously related to an earlier age of onset of bipolar illness in our adult patients with bipolar disorder and is now also found to be related to the incidence of multiple psychiatric illnesses in their offspring. Genetic and epigenetic mechanisms deserve consideration for this multigenerational conveyance of illness vulnerability, and clinical and public health attempts to prevent or slow this transmission are indicated.

AbstractObjectivesA high incidence of Axis II personality disorders is described in patients with bipolar disorder; however, their relationship to mood state remains uncertain.MethodsA total of 966 outpatients with bipolar disorder gave informed consent and filled out the Personality Disorder Questionnaire, 4th edition (PDQ4) and a questionnaire on demographics and course of illness prior to Bipolar Treatment Outcome Network entry at average age 41 years. Patients were rated at each visit for depression on the Inventory of Depressive Symptoms‐Clinician version (IDS‐C) and for mania on the Young Mania Rating Scale (YMRS). In a subgroup, the PDQ4 was retaken during periods of depression and euthymia.ResultsPatients met criteria for most personality disorders at a much higher rate when they took the PDQ4 while depressed compared to while euthymic, and scores were significantly related to the severity of depression (IDS) and of mania (YMRS) assessed within 2 weeks of taking the PDQ. Even when euthymic, more than quarter to half of the patients met criteria for a cluster A, B or C personality disorder.ConclusionsA wide range of personality disorders occur in bipolar patients, but are highly dependent on filling out the form while depressed compared to while euthymic. How this relates to having a personality disorder assessed using a structured clinical interview remains to be tested. However, higher PDQ4 scores are related to an earlier age of onset of bipolar disorder and other factors portending a more difficult course of bipolar disorder, and the optimal treatment of these patients remains to be illuminated.

ObjectiveEarly‐onset bipolar (BP) disorder and other poor prognosis characteristics are more prevalent in patients from the United States than from the Netherlands and Germany (abbreviated as Europe). We explored the impact of parental loading for affective illness on onset and other characteristics of BP disorder.MethodParental history for unipolar (UP) and bipolar (BP) depression and course of illness characteristics were obtained from self‐report in adults (average age 42) with BP disorder. Illness characteristics were examined by χ2 and multinomial logistic regression in relationship to the degree of parental loading: i) both parents negative; ii) one UP disorder; iii) one with BP disorder; and iv) both affected.ResultsAfter controlling for many poor prognosis factors, compared with those from Europe, patients from the United States had more iii) one parent with BP disorder and iv) both parents affected. An early age of onset of BP disorder was independently associated with this increased parental loading for affective disorder.ConclusionParental history of BP disorder and both parents with a mood disorder were more common in the United States than Europe and were associated with an early onset of bipolar disorder and other poor prognosis characteristics. These findings deserve replication and exploration of the potential mechanisms involved and their therapeutic implications.

AbstractThe lack of reliable outcome predictors and the delayed onset of therapeutic response to antidepressants are among the clinical challenges in the treatment of depression. Identifying clinical correlates associated with antidepressant response would reduce symptom severity and morbidity for patients with depression. Twenty‐three subjects with major depression were treated with citalopram 20 mg/day in a 6‐week open trial and were also simultaneously randomized to either adjunctive triiodothyronine (T3) 25 μg BID (n = 7), pindolol 5 mg BID (n = 8), or placebo (n = 8). Baseline thyroid‐stimulating hormone (TSH), FT4, FT3, and TT3 were measured for potential relationships to treatment response across groups. In males only, there was a significant inverse correlation between baseline free T4 and time to response (r = −0.7, P = 0.034). In both males and females across all treatment conditions, as measured by Kaplan–Meier (K–M) maintenance failure time, baseline TSH below the mean (1.5 ng/dL) was associated with a shorter time to response (50% reduction in Montgomery and Asberg Depression Rating Scale [MADRS] score) (χ2 = 4.53, df = 1, P = 0.03). Patients with baseline TSH above the mean were less likely to reach full remission (MADRS ≤ 7) (χ2 = 4.38, df = 1, P = 0.03). No significant differences between groups emerged in the mean response time. Baseline thyroid function, as measured by serum free T4 and TSH, may predict a patient's response time to antidepressant treatment with citalopram.