Alcohol Induced Depression: Clinical, Biological and Genetic Features

Clicks: 418
ID: 115164
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #18 of 253 articles by views in journal of clinical medicine

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 253 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Background: In clinical practice, there is the need to have clinical and biological markers to identify induced depression. The objective was to investigate clinical, biological and genetic differences between Primary Major Depression (Primary MD) and Alcohol Induced MD (AI-MD). Methods: Patients, of both genders, were recruited from psychiatric hospitalisation units. The PRISM instrument was used to establish the diagnoses. Data on socio-demographic/family history, clinical scales for depression, anxiety, personality and stressful life events were recorded. A blood test was performed analysing biochemical parameters and a Genome Wide Association Study (GWAS) to identify genetic markers associated with AI-MD. Results: A total of 80 patients were included (47 Primary MD and 33 AI-MD). The AI-MD group presented more medical comorbidities and less family history of depression. There were differences in traumatic life events, with higher scores in the AI-MD (14.21 ± 11.35 vs. 9.30 ± 7.38; p = 0.021). DSM-5 criteria were different between groups with higher prevalence of weight changes and less anhedonia, difficulties in concentration and suicidal thoughts in the AI-MD. None of the genetic variants reached significance beyond multiple testing thresholds; however, some suggestive variants were observed. Conclusions: This study has found clinical and biological features that may help physicians to identify AI-MD and improve its therapeutic approach.
Reference Key
farré2020journalalcohol Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Adriana Farré;Judit Tirado;Nino Spataro;María Alías-Ferri;Marta Torrens;Francina Fonseca;Farré, Adriana;Tirado, Judit;Spataro, Nino;Alías-Ferri, María;Torrens, Marta;Fonseca, Francina;
Journal journal of clinical medicine
Year 2020
DOI
10.3390/jcm9082668
URL
https://www.mdpi.com/2077-0383/9/8/2668
Keywords
biomarkers comorbidity alcohol use disorder gwas clinical characteristics primary major depression alcohol induced major depression

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.