Major Depressive Disorder
Conditions
Brief summary
This project aims to improve the health care provided to people with major depressive disorder (MDD), a disease which is a top cause of disability worldwide. One of the main obstacles to a more effective health care in these patients is represented by clinical heterogeneity, which has not completely elucidated biological correlates. Using a large sample of people with MDD already recruited (n=29,400), the investigators develop a clustering algorithm based on genetic-environmental and brain imaging predictors aimed at identifying homogeneous MDD subgroups. The researchers will then link these subgroups with relevant health outcomes, such as disease recurrency and severity, well-being and functioning, risk of psychiatric and medical comorbidities (e.g. cardiovascular disorders). Replication in independent samples already recruited(n=1380) will prove the validity of the subgroups and expand their clinical characterization. The investigators will develop a classification tool to link the individual's characteristics to the relevant health outcomes and provide corresponding clinical recommendations. The prognostic support tool will be applied to newly recruited samples, feasibility and usefulness according to clinicians's opinion will be assessed (n=120, ongoing recruitment).
Interventions
None listed
Sponsors
Ministry of Health, Italy
Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
Ospedale San Raffaele
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
No
Inclusion criteria
* diagnosis of depressive episode in Major Depressive Disorder (DSM-5); * at least one depressive episode preceding the current one; * aged between 18 and 65; * score of at least 8 on the Hamilton Depression Rating Scale (HDRS); * signature of the information form and declaration of informed consent; * elementary school certificate (as a minimum requirement for understanding the questions presented in the tests); * native Italian speaker (or bilingualism).
Exclusion criteria
* diagnosis of bipolar disorder, cyclothymic disorder, schizophrenia and other psychotic spectrum disorders, neurodevelopmental disorders; * diagnosis of intellectual disability, epilepsy, neurodegenerative disorders; * disorders related to the use of drugs or alcohol in the last 6 months (except nicotine and caffeine); * pregnant or breastfeeding.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The depressive status | Assessment at the time of recruitment | Assessment of the severity of disease using the Self-report Inventory Of Depressive Symptoms (IDS-SR) (Rush et al., 1996) with minimum-maximum values 0-116, higher scores mean a worse outcome, regarding the last week. |
| The self-report depressive symptomatology | Assessment at the time of recruitment | Assessment of the depressive characteristics, using the Beck Depression Inventory (BDI) (Beck et al., 1961) with minimum-maximum values 0-39, higher scores mean a worse outcome, regarding the last 2 weeks. |
| The clinical evaluation of depressive symptomatology | Assessment at the time of recruitment | Assessment of the presence of depressive status, Hamilton Depression Rating Scale (HDRS) (Hamilton, 1967) with minimum-maximum values 0-69, higher scores mean a worse outcome, regarding the current state. |
| The rate of cardiovascular and/or cardiometabolic diseases | Assessment at the time of recruitment | Assessment of the presence/absence of lifetime and current cardiometabolic and/or cardiovascular diseases (e.g. diabetes, arterial hypertension, pulmonary arterial hypertension) based on extracted data from medical records and chart. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| The quality of functioning and well-being | Assessment at the time of recruitment | Assessment of current and lifetime quality of life and well-being using the WHO Quality of Life-BREF (WHOQOL-BREF) (World Health Organization, 1996): the minimum and maximum values are 0-118, higher scores mean a better outcome, regarding the last 2 weeks. |
Countries
Italy
Contacts
Primary ContactBenedetta Vai, PhD
Backup ContactIrene Bollettini, PhD
Outcome results
None listed