Early clinical predictors of long-term morbidity in major depressive disorder

Giulia Serra; Athanasios Koukopoulos; Lavinia De Chiara; Alexia E Koukopoulos; Gabriele Sani; Leonardo Tondo; Paolo Girardi; Daniela Reginaldi; Ross J Baldessarini

doi:10.1111/eip.12768

Early clinical predictors of long-term morbidity in major depressive disorder

Giulia Serra, Athanasios Koukopoulos, Lavinia De Chiara, Alexia E Koukopoulos, Gabriele Sani, Leonardo Tondo, Paolo Girardi, Daniela Reginaldi, Ross J Baldessarini

Research output: Contribution to journal › Article › peer-review

Abstract

AIMS: To identify early clinical factors predictive of later morbidity in major depressive disorder (MDD).

METHODS: We analysed factors associated with long-term depressive morbidity (%-time ill) between a first-lifetime major depressive episode and last follow-up of 116 adults diagnosed with DSM-IV major depressive disorder. Bivariate comparisons were followed by multivariable linear regression modelling.

RESULTS: Three factors were independently associated with an average of 25%-time-depressed over 17 years at risk: (a) agitated-mixed, or psychotic features in initial major depressive episodes, (b) anxiety syndromes prior to a first-lifetime major depressive episode, and (c) anxiety symptoms in childhood.

CONCLUSION: Early anxiety symptoms and syndromes and agitated-mixed or psychotic initial depressive episodes predicted more long-term depressive morbidity in MDD.

Original language	English
Pages (from-to)	999-1002
Number of pages	4
Journal	Early Intervention in Psychiatry
Volume	13
Issue number	4
DOIs	https://doi.org/10.1111/eip.12768
Publication status	Published - Aug 2019

Keywords

Adult
Age Factors
Aged
Anxiety Disorders/diagnosis
Child
Comorbidity
Correlation of Data
Depressive Disorder, Major/diagnosis
Female
Follow-Up Studies
Genetic Predisposition to Disease
Humans
Logistic Models
Male
Middle Aged
Prognosis
Psychotic Disorders/diagnosis
Risk Factors

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10.1111/eip.12768

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title = "Early clinical predictors of long-term morbidity in major depressive disorder",

abstract = "AIMS: To identify early clinical factors predictive of later morbidity in major depressive disorder (MDD).METHODS: We analysed factors associated with long-term depressive morbidity (%-time ill) between a first-lifetime major depressive episode and last follow-up of 116 adults diagnosed with DSM-IV major depressive disorder. Bivariate comparisons were followed by multivariable linear regression modelling.RESULTS: Three factors were independently associated with an average of 25%-time-depressed over 17 years at risk: (a) agitated-mixed, or psychotic features in initial major depressive episodes, (b) anxiety syndromes prior to a first-lifetime major depressive episode, and (c) anxiety symptoms in childhood.CONCLUSION: Early anxiety symptoms and syndromes and agitated-mixed or psychotic initial depressive episodes predicted more long-term depressive morbidity in MDD.",

keywords = "Adult, Age Factors, Aged, Anxiety Disorders/diagnosis, Child, Comorbidity, Correlation of Data, Depressive Disorder, Major/diagnosis, Female, Follow-Up Studies, Genetic Predisposition to Disease, Humans, Logistic Models, Male, Middle Aged, Prognosis, Psychotic Disorders/diagnosis, Risk Factors",

author = "Giulia Serra and Athanasios Koukopoulos and {De Chiara}, Lavinia and Koukopoulos, {Alexia E} and Gabriele Sani and Leonardo Tondo and Paolo Girardi and Daniela Reginaldi and Baldessarini, {Ross J}",

note = "{\textcopyright} 2018 John Wiley & Sons Australia, Ltd.",

year = "2019",

month = aug,

doi = "10.1111/eip.12768",

language = "English",

volume = "13",

pages = "999--1002",

journal = "Early Intervention in Psychiatry",

issn = "1751-7885",

publisher = "Wiley-Blackwell",

number = "4",

}

TY - JOUR

T1 - Early clinical predictors of long-term morbidity in major depressive disorder

AU - Serra, Giulia

AU - Koukopoulos, Athanasios

AU - De Chiara, Lavinia

AU - Koukopoulos, Alexia E

AU - Sani, Gabriele

AU - Tondo, Leonardo

AU - Girardi, Paolo

AU - Reginaldi, Daniela

AU - Baldessarini, Ross J

PY - 2019/8

Y1 - 2019/8

N2 - AIMS: To identify early clinical factors predictive of later morbidity in major depressive disorder (MDD).METHODS: We analysed factors associated with long-term depressive morbidity (%-time ill) between a first-lifetime major depressive episode and last follow-up of 116 adults diagnosed with DSM-IV major depressive disorder. Bivariate comparisons were followed by multivariable linear regression modelling.RESULTS: Three factors were independently associated with an average of 25%-time-depressed over 17 years at risk: (a) agitated-mixed, or psychotic features in initial major depressive episodes, (b) anxiety syndromes prior to a first-lifetime major depressive episode, and (c) anxiety symptoms in childhood.CONCLUSION: Early anxiety symptoms and syndromes and agitated-mixed or psychotic initial depressive episodes predicted more long-term depressive morbidity in MDD.

AB - AIMS: To identify early clinical factors predictive of later morbidity in major depressive disorder (MDD).METHODS: We analysed factors associated with long-term depressive morbidity (%-time ill) between a first-lifetime major depressive episode and last follow-up of 116 adults diagnosed with DSM-IV major depressive disorder. Bivariate comparisons were followed by multivariable linear regression modelling.RESULTS: Three factors were independently associated with an average of 25%-time-depressed over 17 years at risk: (a) agitated-mixed, or psychotic features in initial major depressive episodes, (b) anxiety syndromes prior to a first-lifetime major depressive episode, and (c) anxiety symptoms in childhood.CONCLUSION: Early anxiety symptoms and syndromes and agitated-mixed or psychotic initial depressive episodes predicted more long-term depressive morbidity in MDD.

KW - Adult

KW - Age Factors

KW - Aged

KW - Anxiety Disorders/diagnosis

KW - Child

KW - Comorbidity

KW - Correlation of Data

KW - Depressive Disorder, Major/diagnosis

KW - Female

KW - Follow-Up Studies

KW - Genetic Predisposition to Disease

KW - Humans

KW - Logistic Models

KW - Male

KW - Middle Aged

KW - Prognosis

KW - Psychotic Disorders/diagnosis

KW - Risk Factors

U2 - 10.1111/eip.12768

DO - 10.1111/eip.12768

M3 - Article

C2 - 30511367

VL - 13

SP - 999

EP - 1002

JO - Early Intervention in Psychiatry

JF - Early Intervention in Psychiatry

SN - 1751-7885

IS - 4

ER -

Early clinical predictors of long-term morbidity in major depressive disorder

Abstract

Keywords

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