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

Early Interv Psychiatry. 2019 Aug;13(4):999-1002. doi: 10.1111/eip.12768. Epub 2018 Dec 3.

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: anxiety; depression; mixed; outcome; prediction.

MeSH terms

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