Authors: Ludovico Mineo; Alessandro Rodolico; Giorgio Alfredo Spedicato; Andrea Aguglia; Simone Bolognesi; Carmen Concerto; Alessandro Cuomo; Arianna Goracci; Giuseppe Maina; Andrea Fagiolini; Mario Amore; Eugenio Aguglia · Research

How Do Mixed Mood Symptoms Impact Depression Severity?

A study examining how subthreshold manic symptoms affect the clinical presentation and severity of major depressive episodes.

Source: Mineo, L., Rodolico, A., Spedicato, G. A., Aguglia, A., Bolognesi, S., Concerto, C., Cuomo, A., Goracci, A., Maina, G., Fagiolini, A., Amore, M., & Aguglia, E. (2022). Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity—Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients. European Psychiatry, 65(1), e30, 1-11. https://doi.org/10.1192/j.eurpsy.2022.20

What you need to know

  • Researchers identified three distinct clusters of depressed patients based on the severity of their depressive and manic symptoms.

  • The cluster with both severe depressive and intermediate manic symptoms showed the greatest overall illness severity.

  • Subthreshold manic symptoms during depression were associated with earlier onset, more hospitalizations, and higher suicide risk.

Exploring the Spectrum of Depression

Depression is often thought of as the opposite of mania, with low mood on one end and euphoria on the other. However, the reality is much more complex. Many people with depression experience some manic-like symptoms at the same time, even if they don’t meet the full criteria for bipolar disorder. This study aimed to better understand how these “mixed” mood states impact the overall picture of depression.

The researchers examined 300 patients hospitalized for a major depressive episode. About half had been diagnosed with major depressive disorder, while the other half had bipolar disorder. Using a detailed questionnaire called the Mood Spectrum Self-Report (MOODS-SR), they assessed the severity of both depressive and manic symptoms that patients had experienced over the past month.

Three Distinct Symptom Clusters

Using a statistical technique called cluster analysis, the researchers identified three distinct groups of patients based on their symptom profiles:

  1. Mild cluster (33% of patients): Intermediate levels of depressive symptoms and low levels of manic symptoms.

  2. Moderate cluster (53% of patients): High levels of depressive symptoms and low levels of manic symptoms.

  3. Mixed cluster (15% of patients): High levels of depressive symptoms and intermediate levels of manic symptoms.

Importantly, these clusters cut across diagnostic boundaries. While bipolar patients were more likely to fall into the Mixed cluster, there were patients with both major depressive disorder and bipolar disorder in each group.

The Impact of Mixed Symptoms

The Mixed cluster stood out as having the most severe overall presentation. Compared to the other groups, these patients:

  • Were younger on average (41 years old vs. 50-53 for other clusters)
  • Had earlier onset of their mood disorder
  • Were more likely to have current psychotic symptoms
  • Had more lifetime suicide attempts
  • Had been hospitalized more frequently
  • Showed higher levels of impulsivity
  • Were more likely to have a co-occurring cluster B personality disorder (e.g. borderline personality disorder)

They also tended to score worse on measures of overall functioning and quality of life. This aligns with previous research showing that “mixed” depressive states are often more severe and harder to treat.

Beyond DSM Criteria

Interestingly, only 25% of patients in the Mixed cluster met the full DSM-5 criteria for “major depressive episode with mixed features.” This suggests the official diagnostic criteria may be too narrow, missing many patients with clinically significant manic symptoms.

The researchers found that an alternative set of criteria called the Koukopoulos Mixed Depression (KMxD) diagnosis captured the Mixed cluster much better. This highlights ongoing debates about how best to define and diagnose mixed mood states.

The Spectrum of Mood Symptoms

Rather than depression and mania being opposite ends of a spectrum, this study supports the idea that they are separate dimensions that can vary independently. A person can have severe depression and significant manic symptoms at the same time.

The relationship between depressive and manic symptoms was complex. There was a weak positive correlation, meaning that as depression severity increased, manic symptoms tended to increase slightly as well. However, there was a lot of individual variation.

This aligns with newer models of mood disorders that look at multiple symptom domains separately, rather than just categorizing episodes as purely depressive or manic. For example, the Activity-Cognition-Emotion (ACE) model examines changes in physical activity/energy, cognitive symptoms, and mood/emotions as separate components that can combine in various ways.

Implications for Diagnosis and Treatment

These findings have several potential implications for clinical practice:

  1. Clinicians should assess for manic symptoms in all depressed patients, not just those with diagnosed bipolar disorder. Even subthreshold symptoms may indicate a more severe illness course.

  2. Current diagnostic criteria for mixed features may be too restrictive. Using broader criteria or dimensional measures of manic symptoms could help identify more patients who may benefit from targeted treatment.

  3. Patients with mixed features may be at higher risk for suicidal behavior and may require closer monitoring.

  4. Standard antidepressants alone may not be sufficient for patients with significant mixed features. Additional mood stabilizers or antipsychotics may be beneficial.

  5. Earlier identification of mixed features in young patients with depression could help predict who is at risk of developing bipolar disorder over time.

Teasing Apart Symptom Domains

The researchers also looked at which specific symptom domains were most closely linked to various clinical outcomes. Some key findings:

  • The “manic psychomotor activation” and “mixed instability” factors were the strongest predictors of lifetime suicide attempts. This suggests that restlessness, agitation, and mood swings may drive suicidal behavior more than depressed mood itself.

  • Impulsivity was most strongly associated with the “mixed irritability” factor. Irritable, volatile moods may lead to more impulsive actions.

  • Psychomotor retardation (slowed movement/thinking) was one of the strongest predictors of hospitalization. This visible sign of severe depression may influence clinical decisions about inpatient care.

  • Spiritual/mystical experiences during depression were actually associated with fewer suicide attempts. This aligns with other research showing that spirituality can be protective against suicidal behavior.

These nuanced findings highlight the value of assessing specific symptom domains rather than just overall depression severity. Different symptom clusters may have distinct impacts on prognosis and treatment needs.

Limitations and Future Directions

This study had some limitations to keep in mind. It only looked at currently hospitalized patients, so the findings may not generalize to outpatients with milder depression. The symptom assessment only covered the past month, potentially missing longer-term patterns. And as a cross-sectional study, it can’t prove causal relationships between mixed features and clinical outcomes.

Future research could:

  • Follow patients over time to see how symptom patterns change and predict long-term outcomes
  • Compare different treatments for depression with mixed features
  • Use neuroimaging or other biological measures to understand the brain mechanisms underlying mixed states
  • Develop and validate new clinical tools for assessing the spectrum of mood symptoms

Conclusions

  • Subthreshold manic symptoms are common during depressive episodes and are associated with greater overall illness severity.

  • Assessing the full spectrum of mood symptoms, beyond just depression, can provide valuable clinical information.

  • Current diagnostic criteria may be too narrow to capture all clinically significant mixed states.

  • A more nuanced, multidimensional approach to diagnosing mood episodes could lead to better targeted treatments.

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