Why is diagnosing MDD challenging?
Key words: depression; diagnosis; pathogenesis; phenotype; biomarker
[Shanghai Arch Psychiatry. 2016; 28(6): 343-345.
Depression is one of the most common mental disorders and a leading cause of years of life lost due to disability and disease burden worldwide. The global burden of disease (GBD) study in 2010 ranked depression as the second leading cause of burden. Disability-adjusted life years (DALYs) calculated by adding years lived with a disability (YLDs) and years lost because of disease-specific premature death (YLLs) was used to quantify the global burden atributable to depressive disorders. The 2010 GBD presented that MDD was one of the leading causes of DALYs, accounting for 2.5% of global DALYs. Also, the burden of depression was higher in women than men, and the largest proportion of YLDs from depressive disorder occurred among adults of working age. Moreover, depressive disorder was confirmed as a leading direct cause of the global disease burden and MDD also contributed to the burden allocated to suicide and ischemic heart disease. [1,2] Yet depression is widely undiagnosed. The prevalence of depression was estimated to be only 3.02% in China, which was significantly lower than that in Afghanistan (22.5%) as well as the United States (4.45%).  One of the reasons for this inconsistent epidemiological data might be inaccurate assessment and diagnosis.
One of the findings from the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) field trials was frustratng due to the very poor inter-rater reliability of clinicians when diagnosing major depressive disorder (MDD). The DSM-5 field trials were performed by using a test-retest reliability design with a stratified sampling method across six adult and four pediatric sites in the United States and one adult site in Canada over a 7- to 10- month period. Diagnostic interviews according to DSM-5 criteria were conducted by 279 clinicians from various mental health disciplines who received special training. Overall, 2,246 patients with various diagnoses and levels of comorbidity were recruited, and interclass kappa coefficients were calculated. The standards for the reliability coefficients for DSM-5 categorical diagnoses were set as follows: intraclass kappa of 0.8 and above were "excellent"; from 0.60 to 0.79 were "very good"; from 0.40 to 0.59 were "good"; from 0.20 to 0.39 were "questionable"; and those below 0.20 were "unacceptable".  The results showed that clinician agreement about the MDD diagnosis was in the questonable range (Kappa = 0.20-0.39), and the pooled intraclass Kappa was 0.28 (95%CI 0.20-0.35) at the adult field trial sites and 0.28 (95%CI 0.15-0.41) at the pediatric field trial sites, respectively. 
How is it that difficult to recognize MDD?
The most fundamental and challenging factor may be that depression is a highly heterogeneous disease and its real pathogenesis has not been clearly elucidated. Genome-wide association studies on depression have typically failed to identify the specific genetic variants involved , although depression has a well-established genetic loading. [7,8] Gene-environment interactions whereby a person inherits sensitivity to environmental factors could also play a key role in MDD.  Again, several plausible etiological hypotheses that might be helpful for understanding the pathophysiological and therapeutic mechanisms of MDD have been proposed. Undoubtedly, depression is a multifactorial disorder and knowledge about the underlying neurobiological mechanisms is stll fragmentary. 
As well, depression is a complex disease with many various phenotypes. Depressive symptoms could occur due to or comorbid with substance use, other psychiatric diseases or other medical conditions. Most of all, depressive symptoms are the core presentations of both unipolar depression (that is major depressive disorder) and bipolar depression. In particular, a series of important articles from the National Institute of Mental Health Collaborative Depression Study have suggested that patients with bipolar disorder are depressed for a much longer period than hypomanic or manic throughout the course of the illness. [11-13] The symptoms of hypomania tend to be more difficult to recognize, partly because the patients often consider their manic symptoms to be normal and symptoms are highly variable.  Therefore, these factors may potentially contribute to misdiagnosing patients with unipolar depression when in fact they have bipolar disorder. Moreover, the DSM-5 expands the scope of MDD by adding some depressive subtypes (such as disruptive mood dysregulation disorder) and specifers (such as "with mixed features", "with anxious distress", "with melancholic features", "with atypical features", "with peripartum onset", "with seasonal patern", etic.), which may further increase the difficulty of improving the inter-rater reliability of clinicians diagnosing MDD.
Embarrassingly, the diagnosis of MDD stll relies on the clinical judgment of individual clinicians with high levels of subjectivity and potential variability. As a result, there is an urgent need for diagnostic tools or modalites with greater objectivity that could improve on current psychiatric practice that relies mainly on self-reportng of symptoms and clinical interviews.  Over the past two decades, a growing amount of research on putative biomarkers for MDD have increasingly suggested that MDD patients have significantly different biological profiles compared to healthy controls. However, difficulty in elucidating their exact relationships within depression pathophysiology makes individual markers inconsistent diagnostic tools. 
Finally, this is partly because of a lack of patient advocates, the stigma surrounding the condition, and inadequate mental health resources. 
Altogether, diagnosing MDD is challenging. Further biomarker research is stll needed and may potentially improve our understanding of pathophysiology as well as antidepressant mechanisms, narrow differential diagnoses, and help to refine current diagnostic criteria. For now, the promising biomarker candidates are mainly involved in the hypothalamic-pituitary-adrenal axis system, thyroid function and antoimmunity, cytokines and infammatory response, oxidative stress, neurotrophins, genetics and epigenetics, proteomics, metabolomics, and multplex-based assays.  Hopefully, more sophisticated and integrated biomarkers can be discovered and applied for screening and diagnosing depression in the future as an advance over relying solely on current subjective diagnostic criteria.
Funding This study was supported by projects from Shanghai National Science Foundation (15ZR1435400).
Conflict of interest statement
All authors declare that they have no conflicts of interest.
Xiaohua Liu was responsible for paper writng.
Kaida Jiang was responsible for paper proofing.
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Xiaohua LIU, Kaida JIANG (*)
Division of Mood Disorders, Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
(*) correspondence: Professor Kaida Jiang. Mailing address: 600 South Wanping RD, Xuhui District, Shanghai, China. Postcode: 200030. E-Mail: email@example.com
Dr. Xiaohua Liu graduated and obtained a doctoral degree in Psychiatry and Mental Health from the Shanghai Medical College at Fudan University in 2006. She has been working at the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine since 2006. As a visitng scholar, Dr. Liu studied in the department of Psychiatry at the University of California, San Diego from 2012 to 2014. Now she is working as an atending doctor in the Mood Disorders Unit at the Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine. Her research interests include the genetics of psychiatric disorders, especially mood disorders.
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|Author:||Liu, Xiaohua; Jiang, Kaida|
|Publication:||Shanghai Archives of Psychiatry|
|Date:||Dec 1, 2016|
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