Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
Advanced Depression Treatment (ADepT) Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Transl Psychiatry. 2024 Nov 29;14(1):481. doi: 10.1038/s41398-024-03180-8.
A large and disproportionate portion of the burden associated with major depressive disorder (MDD) is due to treatment-resistant depression (TRD). Intravenous (R,S)-ketamine (ketamine) and intranasal (S)-ketamine (esketamine) are rapid-acting antidepressants that can effectively treat TRD. However, there is variability in response to ketamine/esketamine, and a personalized approach to their use will increase success rates in the treatment of TRD. There is a growing literature on the precision use of ketamine in TRD, and the body of evidence on esketamine is still relatively small. The identification of reliable predictors of response to ketamine/esketamine that are easily translatable to clinical practice is urgently needed. Potential clinical predictors of a robust response to ketamine include a pre-treatment positive family history of alcohol use disorder and a pre-treatment positive history of clinically significant childhood trauma. Pre-treatment versus post-treatment increases in gamma power in frontoparietal brain regions, observed in electroencephalogram (EEG) studies, is a promising brain-based biomarker of response to ketamine, given its time of onset and general applicability. Blood-based biomarkers have shown limited usefulness, with small-effect increases in brain-derived neurotrophic factor (BDNF) being the most consistent indicator of ketamine response. The severity of treatment-emergent dissociative symptoms is typically not associated with a response either to ketamine or esketamine. Future studies should ensure that biomarkers and clinical variables are obtained in a similar manner across studies to allow appropriate comparison across trials and to reduce the signal-to-noise ratio. Most predictors of response to ketamine/esketamine have modest effect sizes; therefore, the use of multivariate predictive models will be needed.
与重度抑郁症(MDD)相关的负担很大且不成比例,这主要是由于治疗抵抗性抑郁症(TRD)。静脉内(R,S)-氯胺酮(氯胺酮)和鼻内(S)-氯胺酮(氯胺酮)是快速起效的抗抑郁药,可有效治疗 TRD。然而,对氯胺酮/氯胺酮的反应存在差异,采用个性化方法使用它们将提高 TRD 治疗的成功率。关于氯胺酮在 TRD 中的精确使用的文献越来越多,而关于氯胺酮的证据仍然相对较少。迫切需要确定可预测氯胺酮/氯胺酮反应的可靠预测因子,这些预测因子易于转化为临床实践。对氯胺酮/氯胺酮有强烈反应的潜在临床预测因子包括治疗前阳性家族酗酒史和治疗前阳性的儿童期创伤史。脑电图(EEG)研究中观察到的前额顶叶脑区伽马功率的治疗前与治疗后增加,是对氯胺酮反应的有前途的基于大脑的生物标志物,因为它的出现时间和普遍性。基于血液的生物标志物显示出有限的有用性,脑源性神经营养因子(BDNF)的小效应增加是氯胺酮反应的最一致指标。治疗出现的分离症状的严重程度通常与氯胺酮或氯胺酮的反应无关。未来的研究应确保在相似的方式中在研究中获得生物标志物和临床变量,以允许在试验之间进行适当的比较并降低信号噪声比。对氯胺酮/氯胺酮反应的大多数预测因子的效应量较小;因此,需要使用多元预测模型。