锂与奎硫平增强治疗成人难治性抑郁症的临床和成本效益:LQD一项实用的随机对照试验

IF 3.5 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jess Kerr-Gaffney, Zohra Zenasni, Kimberley Goldsmith, Nahel Yaziji, Huajie Jin, Alessandro Colasanti, John Geddes, David Kessler, R Hamish McAllister-Williams, Allan H Young, Alvaro Barrera, Lindsey Marwood, Rachael W Taylor, Helena Tee, Anthony J Cleare
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引用次数: 0

摘要

背景:锂和几种非典型抗精神病药物是治疗难治性抑郁症的首选首选;然而,很少有研究直接比较它们,也没有超过8周的研究。因此,临床医生在为难治性抑郁症患者选择增强治疗方案时,几乎没有循证指导。目的:本试验探讨对12个月以上的难治性抑郁症患者开锂或喹硫平辅助治疗是否更具临床和成本效益。设计:这是一项平行组、多中心、实用、开放标签的优势试验,比较锂与喹硫平增强抗抑郁药物治疗难治性抑郁症的临床和成本效益。参与者在基线时按1:1随机分组,决定开锂或喹硫平。背景:英格兰的六个国家卫生服务信托机构。参与者:符合条件的参与者年龄≥18岁,符合《精神障碍诊断与统计手册》第五版重性抑郁症标准,17项汉密尔顿抑郁评定量表得分≥14分,当前发作中对至少两项治疗性抗抑郁药物治疗试验反应不足,当前抗抑郁药物治疗剂量≥6周。排除有精神病史或双相情感障碍的患者。判断患者适合任何一种治疗。干预措施:随机化后,按照标准护理进行处方前安全检查,试验临床医生决定是否继续处方分配的药物。试验临床医生收到了符合当前临床指南的滴定和给药建议;然而,可以根据耐受性和反应改变给药方案。参与者通过每周自我报告问卷和8周、26周和52周的研究访问进行随访。主要结局指标:共同主要结局指标为52周内抑郁症状严重程度,每周使用自评抑郁症状快速量表测量,以及全因治疗停止试验药物的时间。经济分析从国家卫生服务和个人社会服务的角度以及社会的角度比较了两个治疗组在52周内的成本。结果:212名参与者被随机分组,107人接受喹硫平治疗,105人接受锂治疗。在52周内,喹硫平组抑郁症状的减轻明显大于锂组(喹硫平与锂组差异曲线下面积= -68.36,95%可信区间:-129.95至-6.76,p = 0.0296)。两组的中位停药天数无显著差异(喹硫平= 365.0,四分位数范围= 57.0-365.0,锂= 212.0,四分位数范围= 21.0-365.0),p = 0.1196。喹硫平比锂更具成本效益。记录了32例严重不良事件,其中只有1例被认为可能与干预(锂)有关。局限性:该试验是非盲法的,因此对试验药物的预期可能会影响结果。此外,一些次要结局指标的数据大量缺失。结论:喹硫平不仅更具成本效益,而且可能是治疗难治性抑郁症的一种更有效的临床强化选择。未来的工作:检查治疗反应的预测因素,包括临床、社会人口统计学和生物学因素,将有助于确定在选择治疗难治性抑郁症的强化治疗时是否需要考虑其他因素。试验注册:该试验注册号为ISRCTN16387615。资助:该奖项由美国国立卫生与保健研究所(NIHR)卫生技术评估项目(NIHR奖励编号:14/222/02)资助,全文发表在《卫生技术评估》杂志上;第29卷,第12期有关进一步的奖励信息,请参阅美国国立卫生研究院资助和奖励网站。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical and cost-effectiveness of lithium versus quetiapine augmentation for treatment-resistant depression in adults: LQD a pragmatic randomised controlled trial.

Background: Lithium and several atypical antipsychotics are the recommended first-line augmentation options for treatment-resistant depression; however, few studies have compared them directly, and none for longer than 8 weeks. Consequently, there is little evidence-based guidance for clinicians when choosing an augmentation option for patients with treatment-resistant depression.

Objectives: This trial examined whether it is more clinically and cost-effective to prescribe lithium or quetiapine augmentation therapy for patients with treatment-resistant depression over 12 months.

Design: This was a parallel group, multicentre, pragmatic, open-label superiority trial comparing the clinical and cost-effectiveness of lithium versus quetiapine augmentation of antidepressant medication in treatment-resistant depression. Participants were randomised 1 : 1 at baseline to the decision to prescribe either lithium or quetiapine.

Setting: Six National Health Service trusts in England.

Participants: Eligible participants were aged ≥ 18 years, met Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria for major depressive disorder, scored ≥ 14 on the 17-item Hamilton Depression Rating Scale and whose depression had had an inadequate response to at least two therapeutic antidepressant treatment trials in the current episode, with a current antidepressant treatment at or above the therapeutic dose for ≥ 6 weeks. Patients with a history of psychosis or bipolar disorder were excluded. Patients were judged suitable for either treatment.

Interventions: After randomisation, pre-prescribing safety checks were undertaken as per standard care and trial clinicians decided whether to proceed with prescribing the allocated medication. Trial clinicians received recommendations for titration and dosing in line with current clinical guidelines; however, dosing regimens could be altered according to tolerability and response. Participants were followed up using weekly self-report questionnaires and 8-, 26- and 52-week research visits.

Main outcome measures: The co-primary outcome measures were depressive symptom severity over 52 weeks, measured weekly using the self-rated Quick Inventory of Depressive Symptomatology, and time to all-cause treatment discontinuation of the trial medication. Economic analyses compared costs between the two treatment arms over 52 weeks, from a National Health Service and Personal Social Services perspective, and a societal perspective.

Results: Two hundred and twelve participants were randomised, 107 to quetiapine and 105 to lithium. The quetiapine arm showed a significantly greater reduction in depressive symptoms than the lithium arm over 52 weeks (quetiapine vs. lithium area under the differences curve = -68.36, 95% confidence interval: -129.95 to -6.76, p = 0.0296). Median days to discontinuation did not significantly differ between the two arms (quetiapine = 365.0, interquartile range = 57.0-365.0, lithium = 212.0, interquartile range = 21.0-365.0), p = 0.1196. Quetiapine was more cost effective than lithium. Thirty-two serious adverse events were recorded, only one of which was deemed possibly related to the intervention (lithium).

Limitations: The trial was unblinded, therefore expectancies regarding the trial medications may have influenced the results. Further, there was substantial missing data for some of the secondary outcome measures.

Conclusions: As well as being more cost-effective, quetiapine may be a more clinically effective augmentation option for treatment-resistant depression.

Future work: Examining predictors of treatment response, including clinical, sociodemographic and biological factors, will help establish whether there are additional factors to consider when choosing an augmentation treatment for treatment-resistant depression.

Trial registration: This trial is registered as ISRCTN16387615.

Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 14/222/02) and is published in full in Health Technology Assessment; Vol. 29, No. 12. See the NIHR Funding and Awards website for further award information.

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来源期刊
Health technology assessment
Health technology assessment 医学-卫生保健
CiteScore
6.90
自引率
0.00%
发文量
94
审稿时长
>12 weeks
期刊介绍: Health Technology Assessment (HTA) publishes research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS.
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