The Antidepressant Advisor: A Decision Support System for UK Primary Care - a Feasibility Study: Study 3
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 45
- 试验地点
- 1
- 主要终点
- Baseline functional connectivity of the right superior anterior temporal lobe (RSATL) during self- vs. other-blame
研究概览
简要总结
This prospective observational study (ADeSS-Study3) investigates candidate biomarkers prospectively predicting response to antidepressant medications and prognosis in major depressive disorder (MDD). Currently, about half of MDD patients will not respond to the first course of selective serotonin reuptake inhibitors (SSRIs), while more than 40% will also not achieve remission after a second round of another SSRI. There are functional magnetic resonance imaging (fMRI) measures in several brain regions, showing clinical potential as predictors of response and non-response to SSRIs.
The overall aim of the study is to identify the neural signatures prospectively predicting poor prognosis in MDD patients after receiving four months of treatment in UK primary care. Specifically, it looks to evaluate four fMRI measures: 1) self-blame-selective subgenual cortex and ventral striatum connectivity with the right anterior temporal lobe; 2) pregenual anterior cingulate cortex activity in response to implicit emotional facial expressions; 3) amygdala activation in response to implicit emotional facial expressions; and 4) subgenual cingulate seed-based resting state.
In addition, a more specific objective of the study is to provide the proof-of-concept for using fMRI to prospectively predict which MDD patients will not benefit from SSRI antidepressant treatments in UK primary care. The long-term translational aim is to identify such patients and provide them with alternative treatments without delay by informing a decision support system with the information provided by these candidate biomarkers.
This study is linked to the Antidepressant Advisor Trial (ADeSS-Study 1: NCT03628027), in which the feasibility is evaluated of a novel computerised decision support system for antidepressant prescribing in MDD patients in a UK primary care setting.
详细描述
This prospective observational study focuses on identifying the neural signatures prospectively predicting poor prognosis in MDD patients after receiving four months of treatment in UK primary care.
It is expected that half of the patients will show a response to primary care treatment over the 16 weeks of the trial. This allows for comparison of baseline MRI scans of treatment responders with non-responders. The aim is to recruit at least n=12 in each group with complete data (responders vs non-responders), but if the groups are skewed, a continuous measure (i.e. the difference between final and baseline depression scores) will be used rather than to categorise into responders and non-responders. This sample size is considered sufficient for fMRI studies to run random-effect models. As there is no previous study from which effect sizes can be drawn, the study remains exploratory.
As this study aims to find candidate biomarkers predicting response to antidepressant treatment, it is important to define "response" and "antidepressant treatment". Response to treatment will be defined as a reduction of depressive symptom levels of at least 50%, as assessed by the self-rated Quick Inventory of Depressive Symptomatology (Self-report; 16-Item) from baseline to follow-up.
Due to the range of different antidepressants used in the main trial (Study 1), the primary analysis is to compare responders versus non-responders irrespective of treatment received which ensures the results are of pragmatic relevance to primary care treatment (considered as a complex multifaceted intervention for this study). The following antidepressants are likely to be prescribed in the study, either recommended by the algorithm or as initiated by general practitioners (GPs) without computerised decision support tool advice: sertraline (≥50mg; SSRI), escitalopram (≥10mg; SSRI), mirtazapine (≥30mg; alpha 2 antagonist; NaSSA; dual serotonin and norepinephrine agent), vortioxetine (≥10mg; multimodal), citalopram (≥20mg; SSRI), fluoxetine (≥20mg; SSRI), paroxetine (≥20mg; SSRI), venlafaxine (≥75mg; SSRI up to 150 mg and SNRI>150 mg), duloxetine (60mg; SNRI), therapeutic doses of tricyclics, and therapeutic doses of monoamine oxidase inhibitors.
Further analysis will be aimed at comparing response to another SSRI versus no response to another SSRI. Here, treatment with an SSRI will be defined as treatment with any of the earlier listed SSRIs, as well as low dose venlafaxine (up to 150mg). This includes individuals who started and subsequently stopped their SSRI or did not go up to an effective dose because of presumable side effects (intention-to-treat analysis). However, it excludes individuals whose SSRI has not been changed or whose SSRI dose has not been increased for the study period; individuals whose SSRI remained the same, but the dose increased are included. Individuals who were incompliant with their prescribed SSRI medication are included as their incompliance might be related to experiencing a poor benefit/side effect ratio (intention-to-treat analysis). Individuals who had medications with additional non-SSRI properties are excluded from this analysis (venlafaxine > 150 mg, mirtazapine > 15 mg, antipsychotics, lithium, tricyclics in therapeutic dose, monoamine oxidase inhibitors in therapeutic dose, or vortioxetine).
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •age 18 years +
- •at least moderately severe major depressive syndrome on PHQ-9 (score 15 +)
- •no plans to change GP practice
- •able to complete self-report scales orally or in writing
- •no previous prescription of mirtazapine or vortioxetine
- •early treatment resistance as defined by 1) current or recent prescription (in the last 2 months) of any of the following antidepressants: citalopram, fluoxetine, sertraline, escitalopram, paroxetine, venlafaxine, or duloxetine AND 2) previous prescription of at least one other antidepressant out of the same list.
排除标准
- •inability to consent to study
- •unstable medical condition
- •currently receiving specialist psychiatric treatment
- •high suicide risk (MINI suicidality screen)
- •past diagnosis of schizophrenia or schizo-affective disorder
- •current psychotic symptoms (3 clinical screening questions)
- •bipolar disorder
- •currently at risk of being violent
- •drug (modified PHQ) or alcohol abuse (PHQ) over last 6 months
- •suspected central neurological condition
- •pregnancy or insufficient contraception in women of childbearing age
- •breastfeeding or within 6 months of giving birth in women of childbearing age
- •both escitalopram and sertraline have already been prescribed
- •MRI contraindications
结局指标
主要结局
Baseline functional connectivity of the right superior anterior temporal lobe (RSATL) during self- vs. other-blame
时间窗: 4 months
Functional connectivity will be measured using an optimised and shortened version of the so-called moral sentiment task. Statistical Parametric Mapping 12 (SPM12) will be used to determine psychophysiological interactions between previously reported RSATL seed and previously identified clusters of connectivity in BA25 and putamen/claustrum. These two connectivity measures will be compared for self-blame vs. other-blame and entered as two predictor variables into a logistic regression model. The logistic regression model will include responder/non-responder as a binary outcome variable. Response to treatment will be defined as a reduction of depressive symptom levels of at least 50%, as assessed by the self-rated QIDS-SR16 from baseline to last follow-up.
次要结局
- Baseline pregenual anterior cingulate cortex (pgACC) activity in response to implicit facial emotions(4 months)
- Baseline functional connectivity of the subgenual cingulate cortex (SCC) during resting state fMRI(4 months)
- Baseline amygdala activation in response to implicit facial emotions(4 months)
研究者
Dr Roland Zahn
Reader in the Neurocognitive Bases of Mood Disorders, Honorary Consultant Psychiatrist
King's College London
