Pilot Study to Evaluate Individualized Choice of Antidepressants in Patients With Cancer

Overview

This is a pilot study to test the hypothesis that the antidepressants mirtazapine and citalopram are effective treatment for major depressive disorder (MDD) in cancer patients.

Major depressive disorder (MDD) is a debilitating illness associated with increased mortality and significant impairment in quality of life. The prevalence of MDD is particularly high in patients with cancer, as much as 38% in some studies. The study of depression in cancer patients is particularly important, as these co-morbid illnesses can frequently complicate the management of each other. In addition to affecting quality of life, poorly controlled depression can affect cancer treatment adherence and can lead to poor treatment outcomes. Depression can be challenging to diagnose in patients with cancer. A spectrum of depressive symptoms can be seen, ranging from appropriate sadness in response to a life threatening diagnosis, to a major depressive episode. The diagnosis is confounded by the symptoms brought on by the cancer and its treatment, such as fatigue, insomnia, anorexia, and pain. Medications commonly used in cancer patients such as narcotics, benzodiazepines, antihistamines, steroids, antibiotics, chemotherapy, and endocrine therapy can all lead to side effects that further confuse the picture. However, while challenging, evidence does suggest that a valid diagnosis of depression can be made in this patient population. The current standard for diagnosing MDD is the Diagnostic and Statistical Manual of Mental Disorders - Fourth Edition - Text Revision (DSM-IV-TR), which was published in 2000 by the American Psychiatric Association. The diagnosis is made based on an interview between the patient and physician in which nine criteria are assessed, including depressed mood, anhedonia, weight loss or gain, insomnia or hypersomnia, psychomotor agitation or retardation, fatigue, feelings of worthlessness or guilt, difficulty concentrating, and recurrent thoughts of death. In patients with cancer, the diagnosis of MDD is more often based on anhedonia and feelings of worthlessness, as depressed mood, weight fluctuation, and sleep disturbance can be symptoms of the underlying cancer itself. Once the diagnosis has been made, there are several tools which have been created and validated for the purpose of assessing the severity of depression and for following the severity over time. The tool we intend to use in this study is the PHQ-9. Therapy for MDD in the general population includes both psychotherapy and pharmacological intervention. However, the optimal therapy of MDD in cancer patients remains uncertain. Very few placebo controlled trials have been performed in this population, and there is currently no uniformly accepted standard of care. Some of the evidence from studies in depressed but otherwise medically healthy patients may be applicable to cancer patients, but there are several factors which complicate the treatment of depression in this group. For example, the overlap of symptoms between depression and the underlying malignancy can confound the diagnosis, as discussed earlier. Simultaneous treatment of the underlying malignancy introduces adverse effects from surgery, chemotherapy, or radiation, as well as an increased likelihood of drug-drug interactions. Finally, co-morbid conditions such as cancer pain can contribute to the depression, requiring simultaneous therapy. As a result of these unique factors, the treatment of MDD in cancer patients cannot necessarily be approached using the standard recommendations for the general population. There is scant evidence supporting the effectiveness of pharmacologic therapy in cancer patients with MDD. In the last 25 years only four placebo controlled trials have been published, and of these only two have shown a statistically significant improvement in depression scores with active treatment. Additional studies are needed to evaluate some of the newer antidepressants within the cancer population and to assess whether this strategy of matching side effects to symptoms is beneficial.

Conditions

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Eligibility

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Outcomes