Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression
Sign Up to like & getrecommendations! Published in 2020 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2020.6653
Abstract: Key Points Question Can machine learning models predict improvement of various depressive symptoms with antidepressant treatment based on pretreatment symptom scores and electroencephalographic measures? Findings In this prognostic study, using the machine learning approach of… read more here.
Keywords: machine; machine learning; based pretreatment; antidepressant treatment ... See more keywords
Resilience predicts remission in antidepressant treatment of geriatric depression
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Geriatric Psychiatry"
DOI: 10.1002/gps.4953
Abstract: With the world population rapidly aging, it is increasingly important to identify sociodemographic, cognitive, and clinical features that predict poor outcome in geriatric depression. Self‐report measures of resilience—ie, the ability to adapt and thrive in… read more here.
Keywords: depression; predicts remission; geriatric depression; resilience predicts ... See more keywords
Development and acceptability of a decision aid for major depressive disorder considering discontinuation of antidepressant treatment after remission
Sign Up to like & getrecommendations! Published in 2022 at "Neuropsychopharmacology Reports"
DOI: 10.1002/npr2.12269
Abstract: While evidence‐based antidepressant treatment is available for major depressive disorder, standard approaches for discontinuation of antidepressants after remission have not yet been established. Decision aids are structured clinical tools that facilitate shared decision‐making between patients… read more here.
Keywords: decision; antidepressant treatment; depressive disorder; major depressive ... See more keywords
Impact of pregnancy on antidepressant treatment course: a population-based comparative cohort study in France
Sign Up to like & getrecommendations! Published in 2020 at "Archives of Women's Mental Health"
DOI: 10.1007/s00737-020-01033-z
Abstract: The prevention of relapses and the treatment of depression during pregnancy are difficult challenges. The maintenance of antidepressants in pregnancy with its concomitant risks to mother and child needs to be weighed against those associated… read more here.
Keywords: pregnancy; treatment; study; nonpregnant women ... See more keywords
M83 GENETIC DETERMINANTS OF WEIGHT CHANGE DURING ANTIDEPRESSANT TREATMENT WITH SELECTIVE SEROTONIN RE-UPTAKE INHIBITORS: GENOME-WIDE STUDY AND META-ANALYSIS
Sign Up to like & getrecommendations! Published in 2019 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2017.08.390
Abstract: Background Weight change is a common adverse effect of antidepressant treatment. The purpose of this study was to identify genetic variants associated with change in body weight during antidepressant treatment for Major Depressive Disorder (MDD)… read more here.
Keywords: selective serotonin; genome wide; change; antidepressant treatment ... See more keywords
Phenotypes of reinforcement sensitivity as predictors of the response to acute antidepressant treatment in rats
Sign Up to like & getrecommendations! Published in 2021 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2020.12.004
Abstract: One of the biggest threats to modern societies is the increasing prevalence of mood disorders. Cognitive deficits associated with depressive and bipolar disorders are a major driver of functional impairment and the ensuing disability of… read more here.
Keywords: acute antidepressant; phenotypes reinforcement; treatment; sensitivity ... See more keywords
Benefits of antidepressant treatment after a stroke
Sign Up to like & getrecommendations! Published in 2017 at "European Psychiatry"
DOI: 10.1016/j.eurpsy.2017.02.225
Abstract: Introduction Stroke is an important cause of morbidity and is responsible for 9% of all deaths worldwide. The most frequent neuropsychiatric consequence of stroke is post-stroke depression (PSD). It has been shown to be associated… read more here.
Keywords: recovery; benefits antidepressant; antidepressant treatment; psd ... See more keywords
HTR1A/1B DNA methylation may predict escitalopram treatment response in depressed Chinese Han patients.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of affective disorders"
DOI: 10.1016/j.jad.2017.12.010
Abstract: BACKGROUND The serotonin receptor 1A and 1B (HTR1A/1B) gene have been suggested to be involved in the pathogenesis of major depressive disorder (MDD) and the antidepressant treatment response. Gene expression differences were partly mediated by… read more here.
Keywords: treatment response; response; treatment; antidepressant treatment ... See more keywords
Baseline serum C-reactive protein levels may predict antidepressant treatment responses in patients with major depressive disorder.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of affective disorders"
DOI: 10.1016/j.jad.2019.03.001
Abstract: BACKGROUND Inflammation has been shown previously to predict antidepressant treatment response. This retrospective study was conducted to test if the baseline serum C-reactive protein (CRP) levels could predict antidepressant treatment responses in a Chinese sample.… read more here.
Keywords: crp group; group; predict antidepressant; antidepressant treatment ... See more keywords
Brain functional alterations observed 4-weekly in major depressive disorder following antidepressant treatment.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of affective disorders"
DOI: 10.1016/j.jad.2019.04.001
Abstract: BACKGROUND Major depressive disorder (MDD) is a heterogeneous condition. Identifying the brain responses to antidepressant treatment is of particular interest as these may represent potential neural networks related to treatment response, forming one aspect of… read more here.
Keywords: functional alterations; depressive disorder; treatment; major depressive ... See more keywords
The Potential of Polygenic Risk Scores to Predict Antidepressant Treatment Response in Major Depression: a systematic review.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of affective disorders"
DOI: 10.1016/j.jad.2022.02.015
Abstract: BACKGROUND Understanding the genetic underpinnings of antidepressant treatment response in unipolar major depressive disorder (MDD) can be useful in identifying patients at risk for poor treatment response or treatment resistant depression. A polygenic risk score… read more here.
Keywords: polygenic risk; treatment response; unipolar mdd; antidepressant treatment ... See more keywords