Multi-Dimensional Diagnosis,Individualized Therapy,and Management Technique for Major Depressive Disorder:Based on Clinical and Pathological Characteristics (STEP-MDD)

Multi-Dimensional Diagnosis,Individualized Therapy,and Management Technique for Major Depressive Disorder:Based on Clinical and Pathological Characteristics

Multi-dimensional Diagnosis,Individualized Therapy,and Management Technique for Major Depressive Disorder:Based on Clinical and Pathological Characteristics

Shanghai Jiao Tong University School of Medicine, Chinese Academy of Sciences, Shanxi Medical University, Central South University, Second Military Medical University, Peking University Sixth Hospital, First Affiliated Hospital Xi'an Jiaotong University, First Affiliated Hospital of Kunming Medical University, Air Force Military Medical University, China, Zhejiang University, Wuhan Mental Health Centre, Corning Hospital, Shenzhen City, the First Specialized Subject Hospital of Harbin, Renmin Hospital of Wuhan University, Seventh People's Hospital of Hangzhou, Shandong Mental Health Center

Major Depressive Disorder is one of the most common mental diseases,which increases health-care costs and the financial burden to families and societies. Considering its complex clinical symptoms and diversity of comorbidity, depressive disorder's recognition，diagnosis，and antihistone are based on symptomatology,which is lack of multidimensional diagnosis technique based on clinical pathological characteristics,as well as lack of individualized therapy strategy based on quantified evaluation. Besides, other physical diseases，such as nervous system diseases, cardiovascular diseases，endocrine diseases, have the high comorbidity of depressive disorder. However，there is no precise diagnosis technique or standardized therapy strategy. With all those taken into consideration,our study is aimed to adopt E-mental health and m-Health to explore multi-dimensional diagnosis, individualized therapy and management technique based on molecular biology,nerve electrophysiology，and neuroimaging technology etc.

Four parts included in our study: Part 1:The research, development and verification of indicators based on biomarkers and clinical characteristics to guide the diagnosis and treatment of depressive disorders to screen biomarkers, to explore its pathophysiology, and to analyze the correlation between clinical subtypes/characteristics and biomarkers. To differentiate the subtypes of depressive disorder（depression/underload, atypical, anxiety/somatization) based on clinical symptoms and clinical assessement. To establish personalized therapy strategies,and to explore tool kits for diagnosis and treatment based on biomarkers and clinical characteristics. to choose appropriate indicators to monitor therapy and side effect by collecting and analyzing blood/imaging/neuropsychological data. Part 2: The development,transition and application of hierarchical model diagnostic technique for physical diseases combined with depressive disorder. to recruit patients with physical diseases combined with depressive disorder, and explore potential biomarkers. To chose appropriate therapy strategies based on measurement based care（MBC）, providing hierarchical model diagnostic technique for patients. To weigh therapy efficiency and adverse effect among different medicine therapy groups. Part3: The development and application of comprehensive prevention， diagnosis,and intervention model of depressive disorder. To explore and establish online screening and assistant diagnosis system for patients with depressive disorder. research ,development and application of intelligent e-MBC. Part 4: The development,transition and application of e-MBC sharing platform.

depressive disorder, multi-dimensional diagnosis technique, individualized therapy, management technique, e-MBC, MBC

Part 2: all patients before receiving any medicine treatment are divided into four groups which adopt different therapy strategies :treatment with fluvoxamine, fluoxetine, mirtazapine and treatment as usual(TAU).Meanwhile，patients with different subtypes of depressive disorder were randomly assigned to different therapy groups.Each therapy groups contains 50 participants.Therefore, the total sample size is 50*12+200=800. Part3:To find out efficiency of different kinds of therapy strategies.p=60%, error=5%,a-0.05,the amount of samples nearly is:867,considering the nearly 30% expulsion rate, the final total sample size is 867+260=1127.Therefore,sample size in each group is nearly 376. Part4:p=60%,error=0.05, a=0.05, exculsion rate=30%,N=867+260=1127.the amount of samples of each group is 1127/3=nearly 400.

patients with depressive disorder were randomly assigned to different therapy groups or TAU therapy group based on different depressive disorders subtypes.

This group would be treated with fluoxetine + physical treatment to help to cure depressive disorder.

This group would be treated with mirtazapine/selective serotonin-norepinephrine reuptake inhibitors（SNRIs） from the minimum dosage.

Fluoxetine is one kind of selective serotonin reuptake inhibitor(SSRIs), whose effect is much better than other non-underload subtypes compared with underload subtypes.So patients would be treated with fluoxetine only.

the investigators would recommend fluoxetine to help to cure depressive disorder.And CBT is a very effective way for patients to alleviate or relieve clinical symptoms during episode stage.

Amfebutamone is one kind of SNRIs, and it shows much better therapy effect on patients with exhaustion /dizziness.So the investigators recommend these two drugs to help to cure patients with depressive disorder.

the investigators recommend drug(fluoxetine and amfebutamone) and physical treatment as intervention.

Fluvoxamine could inhibit CYP1A2 and CYP2C19 and affect the metabolism of melatonin, and help to release symptoms of depressive disorder with sleep problems.

the investigators recommend lithium as a mood stabilizer and use fluvoxamine to affect the level of melatonin.

the investigators recommend depressants and mood stabilizers as well as physical therapy to help to cure depressive disorder.

Mirtazapine is one kind of antagonist of a2 adrenergic receptors and could block 5-hydroxytryptamine2 and 5-hydroxytryptamine3,help to release symptoms like anxiety or somatization.Besides, SNRIs could also make similar effect on patients.Therefore, the investigators recommend mirtazapine/SNRIs to treat patients with depressive disorder.

the investigators recommend CBT and mirtazapine as interventions.The dosage and frequency would depend on patients' severity of symptoms .

the investigators would manage to use drugs and physical treatment to help to release the symptoms of depressive disorder.

The potential biomarkers in our study include microRNA,apolipoproteins,metallic ion etc.We use quantitative analysis technique to test miRNA,proteins and metallic ion by patients' blood and urines before interventions and after interventions.

HADA,created by Hamilton in 1960,is one of the most common questionnaires to evaluate the severity of depression and the efficiency of medicine. we adopt the Hamilton Depression Scale(HADA)to evaluate different medicines efficiency by analyzing reductive ratio.The investigators record the total scores of HADA at baseline and 2,4,6,8,12 week.

PHQ-9 is a self-report scale composed of 9 items to evaluate the state of depression.The investigators in our study record the total scores of PHQ-9 at 0,2,4,6,8,12 week to analyze the clinical remission ratio.

LES is one of the common questionnaires to evaluate individual's mental and stress stimulation in daily life.The investigators record the total scores of LES at baseline.

SSS is one of the common questionnaires to evaluate individual's social support and social relationship network to explore the correlation between social support and mental health. the investigators in our study record the total scores of SSS at baseline.

The DAS is a self-report scale composed of 40 items to assess typical, stable depressogenic attitudes or schemas that make individuals vulnerable to depression. The investigators in our study record the total scores od DAS at baseline.

EEG is used to record individual's brain activity. The investigators in our study record individual's brain wave.

Inclusion Criteria: aged 18-65 years; clinical diagnosis of major depressive disorder; 17-Hamilton Depression Scale>20; 14-Hamilton Anxiety Scale score<7; outpatient treatment; first episode; medication-naive; Exclusion Criteria: clinical diagnosis of schizophrenia, schizoaffective disorder; any prescription or psychotropic medications in the past 4 week; serious medical or neurological illness; current pregnancy or breastfeeding.

To share raw data via the network platform named Clinical Trial Management Public Platform within 1year after the trial finished. And the platform website address is http://www.medresman.org

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