系统回顾和荟萃分析:年轻人复发、复发和慢性抑郁症的预测因素。

IF 9.2 1区 医学 Q1 PEDIATRICS
Scott D Tagliaferri, Laura K M Han, Muskan Khetan, Joshua Nguyen, Connie Markulev, Simon Rice, Susan M Cotton, Michael Berk, Enda M Byrne, Debra Rickwood, Christopher G Davey, Peter Koval, Aswin Ratheesh, Patrick D McGorry, Mario Alvarez-Jimenez, Lianne Schmaal
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引用次数: 0

摘要

目的:青少年抑郁症阻碍了社会和职业向成年期的过渡。大多数抑郁症负担是由反复发作或慢性发作引起的。确定有复发、复发或慢性抑郁症风险的年轻人至关重要。我们系统地回顾和荟萃分析了有关年轻人复发、复发和慢性抑郁症的预后因素的文献。方法:我们检索了截至2024年3月6日的文献(MEDLINE、PsycINFO、CINAHL、Embase、CENTRAL、WHO ICTRP、ClinicalTrials.gov、bioRxiv、MedRxiv),纳入了队列研究和随机试验,这些研究评估了年轻人(基线年龄为10-25岁)抑郁症复发、复发或慢性的任何预后因素,随访时间至少为3个月。我们使用QUIPS工具评估了个体研究的偏倚风险,并通过GRADE方法评估了证据的确定性。当对同一预后因素有三个或更多的估计时,我们使用hartung - knap - sidik - jonkman调整进行随机效应荟萃分析。进行定性综合以确定无法进行meta分析的有希望的预后因素。结果:包括46项研究(独特的队列或试验)的76份报告,测试了7,488名患有抑郁症的年轻人的388种独特的预后因素。大多数报告存在高偏倚风险(87%)。我们对未调整的预后因素进行了22项荟萃分析,对不良病程轨迹(即复发、复发和慢性)的预后因素进行了7项荟萃分析。女性(调整后);OR[95%CI]: 1.49 [1.15, 1.93], p=0.003),抑郁症状的严重程度较高(未经调整;结论:我们的研究结果证明了人口统计学和临床因素对年轻人抑郁病程轨迹不良的预后价值。需要更多的研究来证实关系/人际因素在预测不良抑郁病程中的潜在价值。文献的局限性包括纳入研究的高偏倚风险,这表明未来的研究应在多变量模型中纳入更大的样本量和更广泛的预后标志物(如遗传和神经生物学)。关键的下一步是将已确定的预后因素结合起来,并评估其临床价值,以确定那些在青年时期有不良抑郁病程轨迹风险的人,这是一个可以避免大多数可归因于抑郁症的残疾和负担的生命阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic Review and Meta-Analysis: Predictors of Relapsing, Recurrent, and Chronic Depression in Young People.

Objective: Youth depression disrupts the social and vocational transition into adulthood. Most depression burden is caused by recurring or chronic episodes. Identifying young people at risk for relapsing, recurring, or chronic depression is critical. We systematically reviewed and meta-analyzed the literature on prognostic factors for relapsing, recurrent, and chronic depression in young people.

Method: We searched the literature up (MEDLINE, PsycINFO, CINAHL, Embase, CENTRAL, WHO ICTRP, ClinicalTrials.gov, bioRxiv, MedRxiv) to March 6, 2024, and included cohort studies and randomized trials that assessed any prognostic factor for relapse, recurrence, or chronicity of depression in young people (aged 10-25 years at baseline) with a minimum of a 3-month follow-up. We assessed individual study risk of bias using the QUIPS tool and the certainty of evidence via the GRADE approach. We conducted random-effects meta-analyses with Hartung-Knapp-Sidik-Jonkman adjustment when 3 or more estimates on the same prognostic factor were available. Qualitative synthesis was conducted to identify promising prognostic factors that could not be meta-analyzed.

Results: A total of 76 reports of 46 studies (unique cohorts or trials) were included that tested 388 unique prognostic factors in 7,488 young people experiencing depression. The majority of the reports were at high risk of bias (87%). We conducted 22 meta-analyses on unadjusted, and 7 on adjusted, prognostic factors of a poor course trajectory (ie, combined relapse, recurrence, and chronicity). Female sex (adjusted; odds ratio [95% CI] = 1.49 [1.15, 1.93], p = .003), higher severity of depressive symptoms (unadjusted; standardized mean difference [95% CI] = 0.53 [0.33, 0.73], p < .001), lower global functioning (unadjusted; standardized mean difference [95% CI] = -0.35 [-0.60, -0.10], p = .005), more suicidal thoughts and behaviors (unadjusted; standardized mean difference [95% CI] = 0.52 [0.03, 1.01], p = .045), and longer sleep-onset latency (unadjusted; mean difference [95% CI] = 6.96 [1.48, 12.44] minutes, p = .013) at baseline predicted a poor course trajectory of depression. The certainty of the evidence was overall very low to moderate. Promising prognostic factors that could not be meta-analyzed included relational/interpersonal factors (friend relationships and family relationships/structure).

Conclusion: Our findings demonstrate the prognostic value of demographic and clinical factors for poor course trajectories of depression in young people. More research is needed to confirm the potential value of relational/interpersonal factors in predicting poor depression course. Limitations of the literature include the high risk of bias of included studies, which indicates that future studies should include large sample sizes and wider diversity of prognostic markers (eg, genetic and neurobiological) in multivariable models. The critical next step is to combine the identified prognostic factors and to evaluate their clinical value in identifying individuals at risk for a poor course trajectory of depression during youth, a life stage in which most of the disability and burden attributable to depression can be averted.

Study preregistration information: Prognostic factors for relapsing, recurrent or chronic depression in youth: a systematic review with meta-analysis; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023458646.

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来源期刊
CiteScore
21.00
自引率
1.50%
发文量
1383
审稿时长
53 days
期刊介绍: The Journal of the American Academy of Child & Adolescent Psychiatry (JAACAP) is dedicated to advancing the field of child and adolescent psychiatry through the publication of original research and papers of theoretical, scientific, and clinical significance. Our primary focus is on the mental health of children, adolescents, and families. We welcome unpublished manuscripts that explore various perspectives, ranging from genetic, epidemiological, neurobiological, and psychopathological research, to cognitive, behavioral, psychodynamic, and other psychotherapeutic investigations. We also encourage submissions that delve into parent-child, interpersonal, and family research, as well as clinical and empirical studies conducted in inpatient, outpatient, consultation-liaison, and school-based settings. In addition to publishing research, we aim to promote the well-being of children and families by featuring scholarly papers on topics such as health policy, legislation, advocacy, culture, society, and service provision in relation to mental health. At JAACAP, we strive to foster collaboration and dialogue among researchers, clinicians, and policy-makers in order to enhance our understanding and approach to child and adolescent mental health.
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