In a recent retrospective study, people with bipolar disorder I, bipolar disorder II, and major depressive disorder were interviewed about a 14-year period of their illness, and several differences emerged.
People with bipolar disorder I described their illnesses as including more psychomotor retardation (slowing of movements) and more psychotic features. People with bipolar disorder II had more mixed states than both people with major depression and people with bipolar I disorder. They also had less psychomotor slowing than people with bipolar I disorder.
Another purpose of this study by Andrew Frankland and colleagues in the Journal of Clinical Psychiatry, was to determine the effectiveness of the Probabalistic Approach to Bipolar Disorder, a statistical method for differentiating diagnoses. The approach was successful in differentiating both bipolar subtypes from major depression, but not in differentiating between the bipolar subtypes.
Researcher Kiki Chang discussed pediatric acute onset neuropsychiatric syndrome (PANS), an inflammatory illness with psychiatric symptoms, at the 2014 meeting of the American Academy of Child and Adolescent Psychiatry. PANS is diagnosed when following an infection, a child who had previously been well has a sudden onset of obsessive-compulsive disorder (OCD), mood dysregulation, tics, food restriction behaviors, and a variety of other symptoms. A similar syndrome called PANDAS (for pediatric acute onset neuropsychiatic disease associated with streptococcal infections) was first identified in children recovering from strep throat. The children suddenly developed OCD behaviors and tics after a streptococcal infection.
However, PANS is associated with a variety of infections, including viruses and other infections that do not involve streptococcus bacteria. PANS syndrome is typified by acute onset of obsessive compulsive disorder and food restrictions as well as two or more of the following symptoms: anxiety, mood swings and depression, irritability and aggression, behavioral regression, decreases in school performance, sensory motor abnormalities, and somatic alterations such as decreased sleep and urinary incontinence, frequency, and/or urgency. Tics are not part of the formal diagnosis, but are present in about 50% of patients.
In Chang’s experience, the syndrome emerged 65% of the time in relationship to streptococcal infections, 13% with mycoplasma infections, 58% with viral infections, 39% in association with sinusitis, and 16% with otitis (inflammation of the ear). Increases in blood flow in the basal ganglia and increases in its volume likely occur due to antibodies that the immune system produces to fight infection, but which instead attack elements in the brain’s striatum, including tubulin, calcium calmodulin kinase II, lyso-GM-1, and dopamine D1 and D2 receptors.
Chang suggested that a diagnostic workup for PANS should include: a complete blood count and screening for red blood cell sedimentation rate, mycoplasma antibodies IgG and IgM, anti-nuclear antibodies (ANA), ferritin (a protein that stores iron in blood), celiac disease, and other laboratory measures that are commercially available in a panel produced by the company Moleculera Labs. A more detailed description of the PANS syndrome and its diagnosis and workup is available in the most recent 2014 issue of the Journal of the American Academy of Child and Adolescent Psychiatry.
In a related poster, Jennifer Frankovich, another researcher in Chang’s lab, reported that 62% of family members of children with PANS had a history of autoimmune disorders.
New research suggests that the ratio of cortisol to C-reactive protein (CRP), a marker of inflammation, may be a biomarker of depression that affects men and women differently. In women, lower ratios of cortisol to CRP were associated with more severe depression symptoms, including poor quality sleep, sleep disturbances, and decreased extraversion. In men, higher ratios of cortisol to CRP were associated with more daytime disturbance and greater anxiety. The study by E.C. Suarez et al. was published in the journal Brain, Behavior, and Immunity.
Further work must be done to confirm whether low cortisol and high inflammation predicts depression in women, while the opposite (high cortisol and low inflammation) predicts depression in men.
Three articles in the September 2014 issue of the journal Psychiatric Annals (Volume 44 Issue 9) discussed differentiating pediatric bipolar disorder from attention deficit hyperactivity disorder (ADHD). The first article, by Regina Sala et al., said that reasons to suspect bipolar disorder in a child with ADHD include:
- The ADHD symptoms appear for the first time after age 12.
- The ADHD symptoms appear abruptly in an otherwise healthy child.
- The ADHD symptoms initially responded to stimulnts and then did not.
- The ADHD symptoms come and go and occur with mood changes.
- A child with ADHD begins to have periods of exaggerated elation, grandiosity, depression, decreased need for sleep, or inappropriate sexual behaviors.
- A child with ADHD has recurring severe mood swings, temper outbursts, or rages.
- A child with ADHD has hallucinations or delusions.
- A child with ADHD has a strong family history of bipolar disorder in his or her family, particularly if the child does not respond to appropriate ADHD treatments.
The second article, by this editor Robert Post, Robert Findling, and David Luckenbaugh, emphasized the greater severity and number of symptoms in childhood onset bipolar disorder versus ADHD. Children who would later develop bipolar disorder had brief and extended periods of mood elevation and decreased sleep in the early years of their lives. These, along with pressured speech, racing thoughts, bizarre behavior, and grandiose or delusional symptoms emerged differentially from age three onward. In contrast, the typical symptoms of ADHD such as hyperactivity, impulsivity, and decreased attention were equal in both diagnoses.
In the third article, Mai Uchida et al. emphasized the utility of a family history of bipolar disorder as a risk factor. Moreover, a child with depression plus ADHD is at increased risk for a switch into mania on antidepressants if there is a family history of mood disorders, emotional and behavioral dysregulation, subthreshold mania symptoms, or psychosis.
The differential diagnosis of ADHD versus bipolar disorder (with or without comorbid ADHD) is critical, as drug treatment of these disorders is completely different.
Bipolar disorder is treated with atypical antipyschotics; anticonvulsant mood stabilizers, such as valproate, carbamazepine, or lamotrigine; and lithium. Only once mood is stabilized should small doses of stimulants be added to treat residual ADHD symptoms.
ADHD, conversely, is treated with short- or long-acting stimulants such as amphetamine or methylphenidate from the onset, and these may be augmented by the noradrenergic alpha-2 agonists guanfacine or clonidine. The selective noradrenergic re-uptake inhibitor atomoxetine is also approved by the Federal Drug Administration (FDA) for the treatment of ADHD. The dopamine-active drug bupropion and the anti-narcolepsy drugs modafinil and armodafinil have mild anti-ADHD effects but have not been FDA-approved for that purpose.
At the 2014 meeting of the International Society for Bipolar Disorders, researcher B.N. Kim discussed symptoms that could distinguish between bipolar disorder and attention deficit hyperactivity disorder (ADHD) in childhood. Both disorders are characterized by decreased attention, concentration, and frustration tolerance, and increased activity, impulsiveness, and irritability.
Kim shared several differential symptoms that are more indicative of a bipolar diagnosis and that are inconsistent with a simple ADHD diagnosis (and this editor Robert Post has added several more). Signs and symptoms that suggest bipolar disorder and not ADHD include: decreased need for sleep, brief and extended periods of euphoria, hypersexuality, delusions, hallucinations, suicidal or homicidal impulses and/or actions, extreme aggression, and multiple areas of extreme behavioral dyscontrol. ADHD, on the other hand, is characterized by more difficulty focusing attention, and by less extreme symptoms in general.
Research on early-onset bipolar disorder has often hinged on identifying the key characteristics of the disorder. At a symposium on the course of bipolar disorder in children at the 2013 meeting of the American Academy of Child and Adolescent Psychiatry (AACAP), Jeff Hunt of Brown University discussed findings from COBY, the Collaborative Child Bipolar Network. He described the course of illness in 446 children with bipolar disorder, including 10% who had irritability at baseline, 15% who had elated mood at baseline, and a majority (75%) who had both irritability and elation at baseline.
Most factors such as positive family history of bipolar illness and comorbidities including attention deficit hyperactivity disorder (ADHD) did not differ across the three groups. The three subtypes (irritable, elated, or mixed) did not remain stable, and most of the children eventually converted to the combined irritable and elated subtype. These data contrast with those of Ellen Liebenluft et al., who found that those with severe mood dysregulation or chronic irritability (but not other key characteristics of bipolar disorder) did not go on go on to receive a bipolar diagnosis and tended not to have a family history of bipolar disorder.
The psychiatric community has been preparing for the 2013 release of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) by the American Psychiatric Association for years. Each new edition of the manual reflects changing conceptions of illnesses and their diagnosis and treatment.
Tom Insel, the director of the National Institute of Mental Health (NIMH), the largest research organization in the world devoted to the understanding and treatment of mental disorders, caused a stir this past spring when he wrote in a blog post that the DSM-5 lacks validity and that patients deserve better.
The DSM-5 guidelines for diagnosis of mental disorders rely on descriptions of clusters of symptoms, and Insel suggested that new methods of diagnosis that rely on laboratory measure should be developed. The NIMH is launching a project called Research Domain Criteria (RDoC) to incorporate genetics, imaging, and other data in a new classification system for illnesses, and is re-orienting their funding toward projects that “look across current categories,” for example by including all patients in a mood disorder clinic rather than only those who meet DSM-5 criteria for major depressive disorder.
A major concern about this change at the NIMH, which funds much of the research that leads to Federal Drug Administration-approved treatments, is that it will diminish funding for treatment studies in specific diagnostic categories where research is already sparse, such as childhood onset bipolar illness. This may leave many children and adults without a sound evidence base upon which their doctors can base treatment decisions.
Under the NIMH’s new rubric, clinical treatment studies to collect comparative data and evidence-based treatment research would likely lose out to studies focused on the broad collection and identification of biomarkers and the pursuit of new treatment targets. Answering an important clinical question such as whether symptoms of childhood onset bipolar disorder respond to the same medications as oppositional defiant disorder (ODD) or disruptive mood dysregulation disorder (DMDD) might not be a high priority for study.
David Kupfer, chair of the APA’s DSM-5 Task Force, responded to Insel’s statement saying that while it would be great to identify biomarkers and genetic indicators for mental illnesses, “this promise, which we have anticipated since the 1970s, remains disappointingly distant.” Insel acknowledged in his statement that this is only the beginning of development of research domain criteria, and that “for the present” the DSM will continue to be used.
At the 2013 meeting of the International Society for Bipolar Disorders, researcher Barbara Gracious presented evidence that increased levels of high sensitivity c-reactive protein (hsCRP), a marker of inflammation, were associated with an increased risk for developing a full-blown mood episode in 71 youth (average age 13.8) participating in a study called Longitudinal Assessment of Manic Symptoms (LAMS-2). The children were selected for the study because they had manic symptoms that were not severe enough to meet criteria for a diagnosis of bipolar I or II disorder. This research has not yet been published in a peer-reviewed journal, but the abstract can be found in first 2013 supplement of the journal Bipolar Disorders (page 67).
CRP levels are also known to predict cardiovascular disease and Type II diabetes.
Levels of 25-OH vitamin D, TNF?, and IL-6 did not predict a later mood disorder.
Editor’s Note: These data suggest the importance of assessing CRP and other markers in youth who are either prodromal (having early symptoms of a mood disorder) or at high risk because of a family history of a mood disorder.
The next step for clinical research would be to determine what treatment might decrease CRP and whether it would also prevent the development of mood episodes.
Irritability is common in unipolar depression. Emslie suggested that if a child’s irritability is severe and the child destroys objects and denies being irritable, bipolar disorder might be likely. Irritable unipolar depressed children will generally acknowledge being irritable.
Emslie reported that 96% of youth in his randomized placebo-controlled studies of selective serotonin reuptake inhibitor antidepressants (SSRIs) recovered from their unipolar depression, but 46.6% relapsed. Those children with residual depressive symptoms were at double the risk for relapse into a depression compared to those who remitted completely. In those without residual depressive symptoms, there were no relapses if the children stayed on their medications.
Children were excluded from Emslie’s study if they had a positive family history of bipolar disorder, and perhaps because of this, very few participants switched into mania with antidepressants.
MORAL: Treat to remission and stay on the antidepressants associated with the remission. This has previously been found to be important for adults as well. (Emslie added that he would advise that a child stay on an antidepressant for at least a year after a remission was achieved, and longer if the child had difficulties in academic performance or relationships at school.)
Children with unipolar major depression who had a few manic symptoms at a subsyndromal level had poorer outcomes in Emslie’s study. The presence of subsyndromal manic symptoms in bipolar depressed adults is a risk factor for increased switching into mania when antidepressants are added to a mood stabilizer.
Comorbid substance abuse is another risk factor for poor outcome in childhood depression.
It is hoped that measuring biochemical substances in blood will help in the diagnosis of mood disorders and help direct patients to the most effective therapeutic regimens. J.L. Billbielo reported at the 51st Annual Meeting of the National Institute of Mental Health’s New Clinical Drug Evaluation Unit (NCDEU) in 2011 that investigators from Ridge Diagnostics in North Carolina were using this type of biomarker panel in an attempt to provide a predictive algorithm for a diagnosis of major depressive disorder. The panel of 10 assays was derived from a larger screening set and included: alpha 1 antitrypsin (Alpha 1AT), brain-derived neurotrophic factor (BDNF), cortisol, epidermal growth factor (EGF), resistin, and soluble tumor necrosis factor receptor II (sTNFR2). The research group found that this optimized algorithm distinguished depressed subjects from normal controls with a sensitivity of approximately 90% and a sensitivity of 84%.
Editor’s note: This assay is available commercially and appears to represent an interesting panel of potential neurobiological markers of depression, including neurotrophic factors, endocrine stress hormones, and inflammatory markers. While its diagnostic utility is somewhat doubtful and must be further demonstrated, this editor hopes that similar panels could ultimately predict individual clinical response to a given treatment. For example, patients with high levels of inflammatory markers might respond better to treatments aimed at suppressing inflammation. Read more