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The risk of diabetes and HbA1c deterioration during antipsychotic drug treatment: A Danish two-cohort study among patients with first-episode schizophrenia 抗精神病药物治疗期间糖尿病和 HbA1c 恶化的风险:一项针对首发精神分裂症患者的丹麦双队列研究。
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-10-08 DOI: 10.1111/acps.13760
Nanna M. Madsen, Marc A. Sørensen, Andreas A. Danielsen, Mikkel Højlund, Christopher Rohde, Ole Köhler-Forsberg

Background

Antipsychotics increase the risk of developing diabetes, but clinical trials are not generalizable with short follow-up, while observational studies often lack important information, particularly hemoglobin A1c (HbA1c).

Methods

We followed two Danish cohorts with schizophrenia. First, using Danish nationwide registers, we identified all individuals diagnosed with first-episode schizophrenia (FES) between 1999 and 2019 (n = 31,856). Exposure was a redeemed prescription for an antipsychotic, and the outcome was diabetes, defined via hospital-based diagnosis and redeemed prescriptions for glucose-lowering drugs. Adjusted Cox regression calculated hazard rate ratios (HRR). Second, using data from the Central Denmark Region, we identified all individuals diagnosed with FES from October 2016 to September 2022 (n = 2671). Using a within-subject design, we analyzed the change in HbA1c during the 2 years after initiation of specific antipsychotics compared to the 2 years before.

Results

In the nationwide cohort, 2543 (8.0%) individuals developed diabetes (incidence rate = 9.39 [95% CI = 9.03–9.76] per 1000 person-years). Antipsychotics, compared to periods without, were associated with an increased risk of developing diabetes (HRR = 2.04, 95% CI = 1.75–2.38). We found a dose–response association, particularly for second-generation antipsychotics, and different risk rates for specific antipsychotics. In the Central Denmark Region cohort, a total of 9.2% developed diabetes but mean HbA1c levels remained stable at 37 mmol/mol during the 2 years after initiation of antipsychotic medication.

Conclusion

This comprehensive real-world two-cohort study emphasizes that diabetes affects almost 10% of patients with FES. Antipsychotics increase this risk, while HbA1c deterioration requires longer treatment. These findings are important for clinicians and young patients with FES.

背景:抗精神病药物会增加罹患糖尿病的风险,但临床试验的随访时间较短,不具有普遍性,而观察性研究往往缺乏重要信息,尤其是血红蛋白 A1c (HbA1c):我们对两组丹麦精神分裂症患者进行了跟踪研究。首先,我们利用丹麦全国范围的登记册,确定了1999年至2019年期间所有被诊断为首发精神分裂症(FES)的患者(n = 31,856)。暴露是指兑换的抗精神病药物处方,结果是指通过医院诊断和兑换的降糖药处方定义的糖尿病。调整后的 Cox 回归计算出了危险率比 (HRR)。其次,利用丹麦中部大区的数据,我们确定了2016年10月至2022年9月期间诊断为FES的所有患者(n = 2671)。采用受试者内设计,我们分析了开始使用特定抗精神病药物后两年内与之前两年相比 HbA1c 的变化:在全国范围内的队列中,有 2543 人(8.0%)罹患糖尿病(发病率=每千人年 9.39 [95% CI = 9.03-9.76])。与未服用抗精神病药物的时期相比,服用抗精神病药物会增加患糖尿病的风险(HRR = 2.04,95% CI = 1.75-2.38)。我们发现了剂量反应关系,尤其是第二代抗精神病药物,而且特定抗精神病药物的风险率也不同。在丹麦中部地区队列中,共有9.2%的患者罹患糖尿病,但在开始服用抗精神病药物后的两年内,平均HbA1c水平稳定在37 mmol/mol:这项全面的真实世界双队列研究强调,近10%的FES患者患有糖尿病。抗精神病药物会增加这种风险,而 HbA1c 恶化则需要更长时间的治疗。这些发现对临床医生和年轻的 FES 患者非常重要。
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引用次数: 0
Not all types of depressed patients who persist with their antidepressant treatment improve in side effect complaints: A comparison of treatment completers and dropouts in the STAR*D trial 并非所有类型的抑郁症患者在坚持接受抗抑郁治疗后,副作用症状都有所改善:STAR*D试验中完成治疗者与退出治疗者的比较。
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-10-03 DOI: 10.1111/acps.13764
Thomas T. Kim, Colin Xu

Introduction

There is a “traditional belief” that antidepressant side effect complaints improve with medication persistence; however, support for this theory has remained inconclusive. We aimed to examine if side effect complaints improved over time by modeling the relationship between side effect complaints and time at dropout for patients receiving citalopram during the first level of acute treatment in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial.

Methods

We categorized the 2833 patients into five patterns by week of dropout. We used pattern-mixture modeling to model change in side effect complaints (frequency, intensity, and burden) over the 12-week course of treatment, while accounting for attrition and depressive severity. Using post-hoc linear contrasts, we compared the attrition patterns with the completers' pattern for severity of side effect complaints at each respective last visit prior to dropout as well as averaged side effect complaints across the duration of treatment. We also reported frequencies and tolerability of side effects for nine organ/function systems over the course of treatment.

Results

Patients who dropped out early exhibited worsening side effect burden and patients who dropped out later showed improvements in side effect frequency and intensity. Treatment completers improved in all side effect complaints over the course of treatment. Early attrition patterns had more severe side effect complaints for both tests of post-hoc linear contrasts than later attrition patterns and completers.

Conclusions

Side effect complaints from antidepressant treatment improve over time, but only for some types of patients. As a precaution for early dropout, clinicians should monitor patients who exhibit worsening and more severe side effect complaints—especially in the first 6 weeks of antidepressant treatment. In addition, clinicians may want to consider changing the type of treatment early on for these patients, rather than encouraging them to persist with their current medication.

简介有一种 "传统观念 "认为,抗抑郁药物的副作用投诉会随着服药时间的延长而改善;然而,对这一理论的支持仍然没有定论。我们的目的是通过模拟 "缓解抑郁的序贯治疗替代方案(STAR*D)"试验中接受西酞普兰治疗的患者在第一级急性治疗期间的副作用投诉与停药时间之间的关系,来研究副作用投诉是否会随着时间的推移而改善:我们将 2833 名患者按辍药周数分为五种模式。我们使用模式-混合模型来模拟12周疗程中副作用主诉(频率、强度和负担)的变化,同时考虑到自然减员和抑郁严重程度。通过事后线性对比,我们比较了自然减员模式和完成者模式在辍学前最后一次就诊时的副作用症状严重程度,以及整个治疗期间的平均副作用症状。我们还报告了治疗过程中九个器官/功能系统的副作用频率和耐受性:结果:早期退出治疗的患者副作用负担加重,而后期退出治疗的患者副作用频率和强度有所改善。在治疗过程中,完成治疗者的所有副作用症状都有所改善。在两次事后线性对比测试中,早期退出者的副作用症状都比后期退出者和治疗完成者严重:结论:随着时间的推移,抗抑郁治疗的副作用症状会有所改善,但仅限于某些类型的患者。为防止患者过早退出治疗,临床医生应监测那些副作用症状加重的患者,尤其是在抗抑郁治疗的前 6 周。此外,临床医生可能会考虑尽早为这些患者更换治疗类型,而不是鼓励他们坚持使用现有药物。
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引用次数: 0
Dosing levels of antipsychotics and mood stabilizers in bipolar disorder: A Nationwide cohort study on relapse risk and treatment safety 双相情感障碍中抗精神病药物和情绪稳定剂的剂量水平:关于复发风险和治疗安全性的全国队列研究。
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-10-02 DOI: 10.1111/acps.13762
Jonne Lintunen, Aleksi Hamina, Markku Lähteenvuo, Tapio Paljärvi, Antti Tanskanen, Jari Tiihonen, Heidi Taipale

Background

Finding effective treatment regimens for bipolar disorder is challenging, as many patients suffer from significant symptoms despite treatment. This study investigated the risk of relapse (psychiatric hospitalization) and treatment safety (non-psychiatric hospitalization) associated with different doses of antipsychotics and mood stabilizers in persons with bipolar disorder.

Methods

Individuals aged 15–65 with bipolar disorder were identified from Finnish national health registers in 1996–2018. Studied antipsychotics included olanzapine, risperidone, quetiapine, aripiprazole; mood stabilizers lithium, valproic acid, lamotrigine, and carbamazepine. Medication use was divided into three time-varying dose categories: low, standard, and high. The studied outcomes were risk of psychiatric hospitalization (relapse) and the risk of non-psychiatric hospitalization (treatment safety). Stratified Cox regression in within-individual design was used.

Results

The cohort included 60,045 individuals (mean age 41.7 years, SD 15.8; 56.4% female). Mean follow-up was 8.3 years (SD 5.8). Of antipsychotics, olanzapine and aripiprazole were associated with a decreased risk of relapse in low and standard doses, and risperidone in low dose. The lowest adjusted hazard ratio (aHR) was observed for standard dose aripiprazole (aHR 0.68, 95% CI 0.57–0.82). Quetiapine was not associated with a decreased risk of relapse at any dose. Mood stabilizers were associated with a decreased risk of relapse in low and standard doses; lowest aHR was observed for standard dose lithium (aHR 0.61, 95% CI 0.56–0.65). Apart from lithium, high doses of antipsychotics and mood stabilizers were associated with an increased risk of non-psychiatric hospitalization. Lithium was associated with a decreased risk of non-psychiatric hospitalization in low (aHR 0.88, 95% CI 0.84–0.93) and standard doses (aHR 0.81, 95% CI 0.74–0.88).

Conclusions

Standard doses of lithium and aripiprazole were associated with the lowest risk of relapse, and standard dose of lithium with the lowest risk of non-psychiatric hospitalization. Quetiapine was not associated with decreased risk of relapse at any dose.

背景:寻找双相情感障碍的有效治疗方案具有挑战性,因为许多患者尽管接受了治疗,但仍有明显的症状。本研究调查了与双相情感障碍患者不同剂量的抗精神病药物和情绪稳定剂相关的复发风险(精神病住院)和治疗安全性(非精神病住院):方法:从1996年至2018年芬兰全国健康登记册中识别出15至65岁的躁郁症患者。研究的抗精神病药物包括奥氮平、利培酮、喹硫平、阿立哌唑;情绪稳定剂包括锂、丙戊酸、拉莫三嗪和卡马西平。药物使用分为三个随时间变化的剂量类别:低剂量、标准剂量和高剂量。研究结果包括精神病住院风险(复发)和非精神病住院风险(治疗安全性)。研究采用了个体内部设计的分层考克斯回归法:队列中包括 60,045 人(平均年龄 41.7 岁,SD 15.8;56.4% 为女性)。平均随访时间为 8.3 年(SD 5.8)。在抗精神病药物中,低剂量和标准剂量的奥氮平和阿立哌唑与降低复发风险有关,低剂量的利培酮与降低复发风险有关。标准剂量阿立哌唑的调整后危险比(aHR)最低(aHR 0.68,95% CI 0.57-0.82)。无论采用何种剂量,喹硫平都不会降低复发风险。低剂量和标准剂量的情绪稳定剂与复发风险降低有关;标准剂量锂的aHR最低(aHR 0.61,95% CI 0.56-0.65)。除了锂以外,高剂量的抗精神病药物和情绪稳定剂与非精神病住院风险的增加有关。低剂量(aHR 0.88,95% CI 0.84-0.93)和标准剂量(aHR 0.81,95% CI 0.74-0.88)的锂与非精神病住院风险的降低有关:结论:标准剂量的锂和阿立哌唑与最低的复发风险相关,标准剂量的锂与最低的非精神病住院风险相关。任何剂量的喹硫平都不会降低复发风险。
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引用次数: 0
Suicide methods and severe mental illness: A systematic review and meta-analysis. 自杀方法与重性精神病:系统回顾和荟萃分析。
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-10-01 DOI: 10.1111/acps.13759
M Trott, S Suetani, U Arnautovska, S Kisely, M Kar Ray, T Theodoros, V Le, S Leske, M Lu, R Soole, N Warren, D Siskind

Introduction: People with severe mental illness (SMI) have a higher risk of suicide compared with the general population. However, variations in suicide methods between people with different SMIs have not been examined. The aim of this pre-registered (PROSPERO CRD42022351748) systematic review was to pool the odds of people with SMI who die by suicide versus those with no SMI, stratified by suicide method.

Methods: Searches were conducted on December 11, 2023 across PubMed, PsycInfo, CINAHL, and Embase. Eligible studies were those that reported suicide deaths stratified by SMI and suicide methods. Studies were pooled in a random-effects meta-analysis, and risk of bias was measured by the Joanna Briggs Institute checklist.

Results: After screening, 12 studies were eligible (n = 380,523). Compared with those with no SMI, people with schizophrenia had 3.38× higher odds of jumping from heights (95% CI: 2.08-5.50), 1.93× higher odds of drowning (95% CI: 1.50-2.48). People with bipolar disorder also had 3.2× higher odds of jumping from heights (95% CI: 2.70-3.78). Finally, people with major depression had 3.11× higher odds of drug overdose (95% CI: 1.53-6.31), 2.11× higher odds of jumping from heights (95% CI: 1.93-2.31), and 2.33× lower odds of dying by firearms (OR = 0.43, 95% CI: 0.33-0.56). No studies were classified as high risk of bias, and no outcomes had high levels of imprecision or indirectness.

Conclusion: These findings could inform lethal means counselling practices in this population. Additionally individual, clinical, community and public health interventions for people with SMI should prioritise, where feasible, means restriction including access to heights or drugs to overdose.

导言:与普通人群相比,严重精神疾病患者(SMI)的自杀风险更高。然而,不同 SMI 患者自杀方式的差异尚未得到研究。这项预先注册(PROSPERO CRD42022351748)的系统性综述旨在汇集按自杀方式分层的 SMI 患者与非 SMI 患者自杀死亡的几率:于 2023 年 12 月 11 日在 PubMed、PsycInfo、CINAHL 和 Embase 中进行了检索。符合条件的研究是那些报告了按 SMI 和自杀方式分层的自杀死亡案例的研究。通过随机效应荟萃分析对研究进行汇总,并采用乔安娜-布里格斯研究所(Joanna Briggs Institute)的检查表对偏倚风险进行测量:经过筛选,12 项研究符合条件(n = 380,523 人)。与没有精神分裂症的患者相比,精神分裂症患者跳楼的几率要高出3.38倍(95% CI:2.08-5.50),溺水的几率要高出1.93倍(95% CI:1.50-2.48)。双相情感障碍患者跳楼的几率也高出 3.2 倍(95% CI:2.70-3.78)。最后,重度抑郁症患者吸毒过量的几率比正常人高 3.11 倍(95% CI:1.53-6.31),跳楼的几率比正常人高 2.11 倍(95% CI:1.93-2.31),死于枪支的几率比正常人低 2.33 倍(OR = 0.43,95% CI:0.33-0.56)。没有研究被归类为高偏倚风险,也没有结果存在高度不精确或间接性:这些研究结果可为该人群的致命手段咨询实践提供参考。此外,在可行的情况下,针对 SMI 患者的个人、临床、社区和公共卫生干预措施应优先考虑限制手段,包括获取高处或药物过量。
{"title":"Suicide methods and severe mental illness: A systematic review and meta-analysis.","authors":"M Trott, S Suetani, U Arnautovska, S Kisely, M Kar Ray, T Theodoros, V Le, S Leske, M Lu, R Soole, N Warren, D Siskind","doi":"10.1111/acps.13759","DOIUrl":"https://doi.org/10.1111/acps.13759","url":null,"abstract":"<p><strong>Introduction: </strong>People with severe mental illness (SMI) have a higher risk of suicide compared with the general population. However, variations in suicide methods between people with different SMIs have not been examined. The aim of this pre-registered (PROSPERO CRD42022351748) systematic review was to pool the odds of people with SMI who die by suicide versus those with no SMI, stratified by suicide method.</p><p><strong>Methods: </strong>Searches were conducted on December 11, 2023 across PubMed, PsycInfo, CINAHL, and Embase. Eligible studies were those that reported suicide deaths stratified by SMI and suicide methods. Studies were pooled in a random-effects meta-analysis, and risk of bias was measured by the Joanna Briggs Institute checklist.</p><p><strong>Results: </strong>After screening, 12 studies were eligible (n = 380,523). Compared with those with no SMI, people with schizophrenia had 3.38× higher odds of jumping from heights (95% CI: 2.08-5.50), 1.93× higher odds of drowning (95% CI: 1.50-2.48). People with bipolar disorder also had 3.2× higher odds of jumping from heights (95% CI: 2.70-3.78). Finally, people with major depression had 3.11× higher odds of drug overdose (95% CI: 1.53-6.31), 2.11× higher odds of jumping from heights (95% CI: 1.93-2.31), and 2.33× lower odds of dying by firearms (OR = 0.43, 95% CI: 0.33-0.56). No studies were classified as high risk of bias, and no outcomes had high levels of imprecision or indirectness.</p><p><strong>Conclusion: </strong>These findings could inform lethal means counselling practices in this population. Additionally individual, clinical, community and public health interventions for people with SMI should prioritise, where feasible, means restriction including access to heights or drugs to overdose.</p>","PeriodicalId":108,"journal":{"name":"Acta Psychiatrica Scandinavica","volume":" ","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142337541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Augmentation with prazosin for patients with depression and a history of trauma: A randomised, double-blind, placebo-controlled study 哌唑嗪对有创伤史的抑郁症患者的辅助治疗:随机、双盲、安慰剂对照研究。
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-09-27 DOI: 10.1111/acps.13763
Ping Guo, Yong Xu, Liang Lv, Min Feng, Yu Fang, Shanfei Cheng, Xiaoqing Xiao, Juanjuan Huang, Wei Sheng, Shikai Wang, Huanxin Chen
<div> <section> <h3> Introduction</h3> <p>Depression with a history of trauma often responds poorly to conventional antidepressants and has a poor prognosis. Prazosin, an α1-adrenoceptor blocker, has shown promise in treating post-traumatic stress disorder symptoms, particularly nightmares. Its potential in treating depression with trauma history warrants investigation.</p> </section> <section> <h3> Aims of the Study</h3> <p>This randomised, double-blind, placebo-controlled study aimed to investigate the efficacy and tolerability of low-dose prazosin (0.5–1 mg/day) as an augmentation strategy in patients with depression and a history of trauma. We sought to determine if prazosin could provide rapid symptom improvement and enhance overall treatment response compared to placebo in this difficult-to-treat patient population.</p> </section> <section> <h3> Methods</h3> <p>This randomised, double-blind, placebo-controlled clinical study included 59 patients with first-episode or recurrent unipolar or bipolar depression. After basic antidepressant treatment, they were randomly assigned to a prazosin (0.5–1 mg/day) or placebo group for a 6-week double-blind controlled study. The Montgomery–Åsberg Depression Rating Scale, 17-item Hamilton Depression Scale (HAMD-17), and Hamilton Anxiety Scale (HAMA) were used to evaluate efficacy.</p> </section> <section> <h3> Results</h3> <p>There were no significant differences in the results of the demographic and clinical symptom assessment between the two groups (<i>p</i> > 0.05). The difference between the HAMD-17 and HAMA scores was statistically significant after 3 days of treatment (<i>p</i> < 0.05). The difference in response rate between the two groups was statistically significant after week 4 of treatment (end of week 4, 56.7% vs. 24.1%, <i>p</i> = 0.011; end of week 6, 80.0% vs. 48.3%, <i>p</i> = 0.011). The incidence of adverse reactions in the prazosin and placebo groups was 20.0% and 24.1%, respectively, with no statistically significant differences (<i>p</i> > 0.05); however, the prazosin group had a lower incidence of sleeplessness or nightmares (3.3% vs. 20.7%, <i>p</i> = 0.039) but a higher incidence of orthostatic hypotension (16.7% vs. 0%, <i>p</i> = 0.007). The severity of orthostatic hypotension was mild to moderate.</p> </section> <section> <h3> Conclusion</h3> <p>Low-dose prazosin can effectively improve the emotional symptoms of patients with depression and a history of trauma, and the common adverse reaction is mild-to-moderate orthostatic hypotension.</p> </section>
简介有创伤史的抑郁症患者对传统抗抑郁药的反应通常很差,预后也很差。哌唑嗪是一种α1-肾上腺素受体阻滞剂,在治疗创伤后应激障碍症状(尤其是噩梦)方面显示出良好的前景。它在治疗有创伤史的抑郁症方面的潜力值得研究:这项随机、双盲、安慰剂对照研究旨在调查小剂量哌唑嗪(0.5-1 毫克/天)作为抑郁症和创伤史患者的增强策略的疗效和耐受性。我们试图确定,与安慰剂相比,哌唑嗪能否在这一难以治疗的患者群体中迅速改善症状并提高总体治疗反应:这项随机、双盲、安慰剂对照临床研究纳入了59名首次发病或复发的单相或双相抑郁症患者。经过基本抗抑郁治疗后,他们被随机分配到哌唑嗪(0.5-1毫克/天)或安慰剂组,进行为期6周的双盲对照研究。研究采用蒙哥马利-奥斯伯格抑郁评定量表、17项汉密尔顿抑郁量表(HAMD-17)和汉密尔顿焦虑量表(HAMA)来评估疗效:结果:两组患者的人口统计学和临床症状评估结果无明显差异(P>0.05)。治疗3天后,HAMD-17和HAMA评分之间的差异有统计学意义(P 0.05);然而,哌唑嗪组失眠或噩梦的发生率较低(3.3% vs. 20.7%,P = 0.039),但直立性低血压的发生率较高(16.7% vs. 0%,P = 0.007)。正性低血压的严重程度为轻度至中度:结论:小剂量哌唑嗪能有效改善抑郁症和外伤史患者的情绪症状,常见的不良反应为轻中度正张性低血压:临床试验注册:ChiCTR2200063642。
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引用次数: 0
Prediction of suicide attempt in a Swedish population-based cohort 瑞典人群自杀未遂的预测。
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-09-24 DOI: 10.1111/acps.13761
Séverine Lannoy, Henrik Ohlsson, Mallory Stephenson, Kenneth S. Kendler, Jan Sundquist, Kristina Sundquist, Alexis C. Edwards

Background

Suicidal behaviors are prevalent public health concerns, and we need to improve our predictive ability to better inform prevention efforts.

Methods

Using nationwide longitudinal Swedish registers, we included 344,490 males and 323,177 females born 1982–1990 with information on genetic liability and environmental exposures from birth to age 16: perinatal variables, parental psychopathology (suicide attempt, substance use disorder, major depression), family status, socioeconomic difficulties, peers' psychopathology, and school grades. We conducted sex-specific analysis and developed data-driven predictive models including risk factors that occurred between ages 0 and 16 using structural equation modeling.

Results

In both females and males, the best-fitting models reveal a complex risk pathway to suicide attempt. In females, the model indicates four direct effects on suicide attempt risk: the occurrence of suicide attempt in parents during childhood (β = 0.159, 95% CI: 0.118; 0.199) and adolescence (β = 0.115, 95% CI: 0.077; 0.153), suicide attempt in peers (β = 0.068, 95% CI: 0.057; 0.079), and low academic achievement (β = 0.166, 95% CI: 0.156; 0.175). In males, aggregate genetic liability for suicide attempt (β = 0.130, 95% CI: 0.111; 0.148), suicide attempt in parents during adolescence (β = 0.099, 95% CI: 0.074; 0.124), suicide attempt in peers (β = 0.118, 95% CI: 0.108; 0.129), and low academic achievement (β = 0.61, 95% CI: 0.152; 0.171) were related to later suicide attempt. These factors also acted as mediators to explain the association between environmental exposures in childhood and later suicide attempt.

Conclusions

These findings illustrate sex-specific pathways to suicide attempt by including risk factors that occur during the development. Results highlight the importance of genetic and family environment but also the prominent role of academic achievement.

背景:自杀行为是普遍存在的公共卫生问题,我们需要提高预测能力,以便更好地开展预防工作:通过瑞典全国范围内的纵向登记,我们纳入了 344,490 名男性和 323,177 名女性,他们出生于 1982-1990 年,从出生到 16 岁期间的遗传责任和环境暴露信息包括:围产期变量、父母精神病理学(自杀未遂、药物使用障碍、重度抑郁症)、家庭状况、社会经济困难、同龄人精神病理学和学校成绩。我们针对不同性别进行了分析,并利用结构方程模型建立了数据驱动的预测模型,其中包括发生在 0 至 16 岁之间的风险因素:在女性和男性中,最佳拟合模型揭示了自杀未遂的复杂风险途径。在女性中,该模型显示了对自杀未遂风险的四种直接影响:童年时期(β = 0.159,95% CI:0.118;0.199)和青春期(β = 0.115,95% CI:0.077;0.153)父母自杀未遂、同龄人自杀未遂(β = 0.068,95% CI:0.057;0.079)和学习成绩差(β = 0.166,95% CI:0.156;0.175)。在男性中,自杀未遂的总体遗传责任(β = 0.130,95% CI:0.111;0.148)、青春期父母的自杀未遂(β = 0.099,95% CI:0.074;0.124)、同伴的自杀未遂(β = 0.118,95% CI:0.108;0.129)和学习成绩差(β = 0.61,95% CI:0.152;0.171)与后来的自杀未遂有关。这些因素也是解释童年环境暴露与日后自杀未遂之间关系的中介因素:这些研究结果说明了自杀企图的性别特异性途径,其中包括在成长过程中出现的风险因素。研究结果凸显了遗传和家庭环境的重要性,以及学业成绩的突出作用。
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引用次数: 0
Psychosis Prognosis Predictor: A continuous and uncertainty-aware prediction of treatment outcome in first-episode psychosis 精神病预后预测器:对首发精神病治疗结果的连续性和不确定性预测
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-09-18 DOI: 10.1111/acps.13754
Daniël P. J. van Opstal, Seyed Mostafa Kia, Lea Jakob, Metten Somers, Iris E. C. Sommer, Inge Winter-van Rossum, René S. Kahn, Wiepke Cahn, Hugo G. Schnack

Introduction

Machine learning models have shown promising potential in individual-level outcome prediction for patients with psychosis, but also have several limitations. To address some of these limitations, we present a model that predicts multiple outcomes, based on longitudinal patient data, while integrating prediction uncertainty to facilitate more reliable clinical decision-making.

Material and Methods

We devised a recurrent neural network architecture incorporating long short-term memory (LSTM) units to facilitate outcome prediction by leveraging multimodal baseline variables and clinical data collected at multiple time points. To account for model uncertainty, we employed a novel fuzzy logic approach to integrate the level of uncertainty into individual predictions. We predicted antipsychotic treatment outcomes in 446 first-episode psychosis patients in the OPTiMiSE study, for six different clinical scenarios. The treatment outcome measures assessed at both week 4 and week 10 encompassed symptomatic remission, clinical global remission, and functional remission.

Results

Using only baseline predictors to predict different outcomes at week 4, leave-one-site-out validation AUC ranged from 0.62 to 0.66; performance improved when clinical data from week 1 was added (AUC = 0.66–0.71). For outcome at week 10, using only baseline variables, the models achieved AUC = 0.56–0.64; using data from more time points (weeks 1, 4, and 6) improved the performance to AUC = 0.72–0.74. After incorporating prediction uncertainties and stratifying the model decisions based on model confidence, we could achieve accuracies above 0.8 for ~50% of patients in five out of the six clinical scenarios.

Conclusion

We constructed prediction models utilizing a recurrent neural network architecture tailored to clinical scenarios derived from a time series dataset. One crucial aspect we incorporated was the consideration of uncertainty in individual predictions, which enhances the reliability of decision-making based on the model's output. We provided evidence showcasing the significance of leveraging time series data for achieving more accurate treatment outcome prediction in the field of psychiatry.

导言机器学习模型在精神病患者的个体水平结果预测方面显示出了巨大的潜力,但也存在一些局限性。为了解决其中的一些局限性,我们提出了一种基于患者纵向数据预测多种结果的模型,同时整合了预测的不确定性,以促进更可靠的临床决策。 材料与方法 我们设计了一种包含长短期记忆(LSTM)单元的递归神经网络架构,通过利用在多个时间点收集的多模态基线变量和临床数据来促进结果预测。为了考虑模型的不确定性,我们采用了一种新颖的模糊逻辑方法,将不确定性水平整合到单个预测中。在 OPTiMiSE 研究中,我们针对六种不同的临床情况,对 446 名首发精神病患者的抗精神病治疗结果进行了预测。在第4周和第10周评估的治疗结果包括症状缓解、临床总体缓解和功能缓解。结果仅使用基线预测因子预测第4周的不同结果,leave-one-site-out验证的AUC从0.62到0.66不等;当加入第1周的临床数据时,性能有所提高(AUC = 0.66-0.71)。对于第 10 周的结果,仅使用基线变量,模型的 AUC = 0.56-0.64;使用更多时间点(第 1、4 和 6 周)的数据后,性能提高到 AUC = 0.72-0.74。在纳入预测不确定性并根据模型置信度对模型决策进行分层后,我们可以在六种临床方案中的五种方案中使约 50% 的患者的准确率达到 0.8 以上。我们纳入的一个重要方面是考虑了单个预测中的不确定性,从而提高了根据模型输出做出决策的可靠性。我们提供的证据表明,利用时间序列数据在精神病学领域实现更准确的治疗结果预测具有重要意义。
{"title":"Psychosis Prognosis Predictor: A continuous and uncertainty-aware prediction of treatment outcome in first-episode psychosis","authors":"Daniël P. J. van Opstal,&nbsp;Seyed Mostafa Kia,&nbsp;Lea Jakob,&nbsp;Metten Somers,&nbsp;Iris E. C. Sommer,&nbsp;Inge Winter-van Rossum,&nbsp;René S. Kahn,&nbsp;Wiepke Cahn,&nbsp;Hugo G. Schnack","doi":"10.1111/acps.13754","DOIUrl":"10.1111/acps.13754","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Machine learning models have shown promising potential in individual-level outcome prediction for patients with psychosis, but also have several limitations. To address some of these limitations, we present a model that predicts multiple outcomes, based on longitudinal patient data, while integrating prediction uncertainty to facilitate more reliable clinical decision-making.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Material and Methods</h3>\u0000 \u0000 <p>We devised a recurrent neural network architecture incorporating long short-term memory (LSTM) units to facilitate outcome prediction by leveraging multimodal baseline variables and clinical data collected at multiple time points. To account for model uncertainty, we employed a novel fuzzy logic approach to integrate the level of uncertainty into individual predictions. We predicted antipsychotic treatment outcomes in 446 first-episode psychosis patients in the OPTiMiSE study, for six different clinical scenarios. The treatment outcome measures assessed at both week 4 and week 10 encompassed symptomatic remission, clinical global remission, and functional remission.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Using only baseline predictors to predict different outcomes at week 4, leave-one-site-out validation AUC ranged from 0.62 to 0.66; performance improved when clinical data from week 1 was added (AUC = 0.66–0.71). For outcome at week 10, using only baseline variables, the models achieved AUC = 0.56–0.64; using data from more time points (weeks 1, 4, and 6) improved the performance to AUC = 0.72–0.74. After incorporating prediction uncertainties and stratifying the model decisions based on model confidence, we could achieve accuracies above 0.8 for ~50% of patients in five out of the six clinical scenarios.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>We constructed prediction models utilizing a recurrent neural network architecture tailored to clinical scenarios derived from a time series dataset. One crucial aspect we incorporated was the consideration of uncertainty in individual predictions, which enhances the reliability of decision-making based on the model's output. We provided evidence showcasing the significance of leveraging time series data for achieving more accurate treatment outcome prediction in the field of psychiatry.</p>\u0000 </section>\u0000 </div>","PeriodicalId":108,"journal":{"name":"Acta Psychiatrica Scandinavica","volume":"151 3","pages":"280-292"},"PeriodicalIF":5.3,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/acps.13754","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142255816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The impact of weight gain on antipsychotic nonadherence or discontinuation: A systematic review and meta-analysis 体重增加对不服用或停用抗精神病药物的影响:系统回顾和荟萃分析
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-09-17 DOI: 10.1111/acps.13758
Riddhita De, Emily C. C. Smith, Janani Navagnanavel, Emily Au, Kateryna Maksyutynska, Maria Papoulias, Raghunath Singh, Kristoffer J. Panganiban, Bailey Humber, Grimur Høgnason Mohr, Mette Ødegaard Nielsen, Bjørn H. Ebdrup, Gary Remington, Sri Mahavir Agarwal, Margaret K. Hahn

Background

Nonadherence/discontinuation of antipsychotic (AP) medications represents an important clinical issue in patients across psychiatric disorders, including schizophrenia spectrum disorders (SSDs). While antipsychotic-induced weight gain (AIWG) is a reported contributor to nonadherence, a systematic review of the association between AIWG and medication nonadherence/discontinuation has not been explored previously.

Method

A systematic search was conducted in MEDLINE, EMBASE, PsychINFO, CINAHL, and CENTRAL databases, among others, to help identify all studies which explored adherence, study dropouts, AP switching and/or discontinuations attributable to AIWG among individuals with severe mental illness. A meta-analysis was also completed where applicable.

Results

We identified two categories of studies for the meta-analysis. Category 1 included three studies, which compared measures of AP adherence or discontinuation across BMI classes/degrees of self-reported weight gain. When compared to normal weight individuals receiving APs or those who did not report AIWG, individuals who were either overweight or obese or reported weight gain in relation to AP use had an increased odds of AP nonadherence (OR 2.37; 95% CI 1.51–3.73; p = 0.0002). Category 2 had 14 studies which compared measures of discontinuation related to weight gain reported as an adverse effect across different APs. Olanzapine was associated with a 3.32 times (95% CI 2.32–4.74; p < 0.00001) increased likelihood of nonadherence or discontinuation when compared to other APs with lower weight gain liabilities. Similarly, APs with moderate weight gain liability (paliperidone, risperidone, and quetiapine) increased the odds of nonadherence or discontinuation by 2.25 (95% CI 1.31–3.87; p = 0.003) when compared to APs considered to have lower weight gain liability (i.e. haloperidol and aripiprazole). The qualitative summary also confirmed these findings.

Conclusion

This review and meta-analysis suggests that AIWG influences medication nonadherence/discontinuation, whereby APs with higher weight gain liability are associated with nonadherence/discontinuation. Additional studies are needed to confirm these findings.

背景抗精神病药物(AP)的不依从/停药是包括精神分裂症谱系障碍(SSD)在内的各种精神疾病患者的一个重要临床问题。方法 在MEDLINE、EMBASE、PsychINFO、CINAHL和CENTRAL等数据库中进行了系统检索,以帮助确定所有探讨严重精神疾病患者因AIWG而导致的依从性、研究辍学、抗精神病药物转换和/或停药的研究。在适用的情况下,我们还完成了一项荟萃分析。结果我们为荟萃分析确定了两类研究。第一类包括三项研究,这些研究比较了不同 BMI 等级/自我报告体重增加程度的 AP 依从性或停药情况。与接受 AP 或未报告 AIWG 的正常体重者相比,超重或肥胖或报告体重增加与 AP 使用有关的人不坚持 AP 的几率更高(OR 2.37;95% CI 1.51-3.73;P = 0.0002)。第 2 类共有 14 项研究,这些研究比较了与不同 APs 的不良反应体重增加有关的停药措施。与体重增加责任较低的其他 APs 相比,奥氮平导致不依从或停药的可能性增加了 3.32 倍 (95% CI 2.32-4.74; p < 0.00001)。同样,与被认为具有较低体重增加责任的 APs(即氟哌啶醇和阿立哌唑)相比,具有中等体重增加责任的 APs(帕潘利酮、利培酮和喹硫平)使不依从或停药的几率增加了 2.25 (95% CI 1.31-3.87; p = 0.003)。结论本综述和荟萃分析表明,AIWG 会影响药物的不依从性/停药,其中体重增加责任较高的 APs 与不依从性/停药相关。还需要更多的研究来证实这些发现。
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引用次数: 0
A national evaluation of a multi-modal, blended, digital intervention integrated within Australian youth mental health services 对纳入澳大利亚青少年心理健康服务的多模式混合数字干预措施进行全国性评估
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-09-11 DOI: 10.1111/acps.13751
M. Alvarez-Jimenez, J. Nicholas, L. Valentine, P. Liu, S. Mangelsdorf, S. Baker, T. Gilbertson, G. O'Loughlin, C. McEnery, P. D. McGorry, J. F. Gleeson, S. P. Cross

Background

Youth mental health (YMH) services have been established internationally to provide timely, age-appropriate, mental health treatment and improve long-term outcomes. However, YMH services face challenges including long waiting times, limited continuity of care, and time-bound support. To bridge this gap, MOST was developed as a scalable, blended, multi-modal digital platform integrating real-time and asynchronous clinician-delivered counselling; interactive psychotherapeutic content; vocational support; peer support, and a youth-focused online community. The implementation of MOST within Australian YMH services has been publicly funded.

Objective

The primary aim of this study was to evaluate the real-world engagement, outcomes, and experience of MOST during the first 32 months of implementation.

Method

Young people from participating YMH services were referred into MOST. Engagement metrics were derived from platform usage. Symptom and satisfaction measures were collected at baseline, 6, and 12 (primary endpoint) weeks. Effect sizes were calculated for the primary outcomes of depression and anxiety and secondary outcomes of psychological distress and wellbeing.

Results

Five thousand seven hundred and two young people from 262 clinics signed up and used MOST at least once. Young people had an average of 19 login sessions totalling 129 min over the first 12 weeks of use, with 71.7% using MOST for at least 14 days, 40.1% for 12 weeks, and 18.8% for 24 weeks. There was a statistically significant, moderate improvement in depression and anxiety at 12 weeks as measured by the PHQ4 across all users irrespective of treatment stage (d = 0.41, 95% CI 0.35–0.46). Satisfaction levels were high, with 93% recommending MOST to a friend. One thousand one hundred and eighteen young people provided written feedback, of which 68% was positive and 31% suggested improvement.

Conclusions

MOST is a highly promising blended digital intervention with potential to address the limitations and enhance the impact of YMH services.

背景国际上已经建立了青少年心理健康(YMH)服务,以提供及时、适龄的心理健康治疗,并改善长期疗效。然而,青少年心理健康服务面临着各种挑战,包括等待时间长、护理的连续性有限以及有时限的支持。为了弥补这一差距,MOST 被开发成一个可扩展的、混合的、多模式的数字平台,整合了临床医生提供的实时和异步咨询、互动式心理治疗内容、职业支持、同伴支持以及一个以青少年为中心的在线社区。这项研究的主要目的是评估社会变革管理计划实施 32 个月来的实际参与情况、成果和体验。参与度指标来自平台使用情况。在基线、6周和12周(主要终点)收集症状和满意度指标。结果来自 262 家诊所的 5702 名年轻人注册并至少使用了一次 MOST。在使用的前 12 周内,年轻人平均登录了 19 次,总计 129 分钟,其中 71.7% 的人至少使用了 14 天,40.1% 的人使用了 12 周,18.8% 的人使用了 24 周。根据PHQ4的测量结果,无论治疗阶段如何,所有用户在12周时的抑郁和焦虑情况都有了明显的改善(d = 0.41,95% CI 0.35-0.46)。满意度很高,93%的人向朋友推荐社会变革管理计划。118名青少年提供了书面反馈,其中68%为正面反馈,31%建议改进。
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引用次数: 0
Relationship between nonexercise activity and mood in patients with eating disorders 饮食失调症患者的非运动活动与情绪之间的关系。
IF 5.3 2区 医学 Q1 PSYCHIATRY Pub Date : 2024-09-07 DOI: 10.1111/acps.13757
Robin Olfermann, Sabine Schlegel, Anna Vogelsang, Ulrich Ebner-Priemer, Almut Zeeck, Markus Reichert

Introduction

Many patients with eating disorders (EDs) engage in excessive and compulsive physical activity (pathological exercise, PE) to regulate negative mood or to “burn calories.” PE can lead to negative health consequences. Non-exercise activity (NEA) bears the potential to serve as intervention target to counteract PE and problematic eating behaviors since it has been associated with positive mood effects. However, to date, there is no investigation on whether the positive link between NEA and mood seen in the healthy translates to patients with ED.

Material and Methods

To study potential associations of NEA and mood in ED, we subjected 29 ED-patients and 35 healthy controls (HCs) to an ambulatory assessment study across 7 days. We measured NEA via accelerometers and repeatedly assessed mood on electronic smartphone diaries via a mixed sampling strategy based on events, activity and time. Within- and between-subject effects of NEA on mood, PE as moderator, and the temporal course of effects were analyzed via multilevel modeling.

Results

NEA increased valence (β = 2.12, p < 0.001) and energetic arousal (β = 4.02, p < 0.001) but showed no significant effect on calmness. The effects of NEA on energetic arousal where significantly stronger for HCs (β HC = 6.26, p < 0.001) than for EDs (β ED = 4.02, p < 0.001; β interaction = 2.24, p = 0.0135). Effects of NEA were robust across most timeframes of NEA and significantly moderated by PE, that is, Lower PE levels exhibited stronger NEA effects on energetic arousal.

Conclusion

Patients with ED and HC show an affective benefit from NEA, partly depending on the level of PE. If replicated in experimental daily life studies, this evidence may pave the way towards expedient NEA interventions to cope with negative mood. Interventions could be especially promising if delivered as Just-in-time adaptive interventions (JITAIs) and should be tailored according to the PE level.

导言:许多饮食失调症(EDs)患者为了调节负面情绪或 "燃烧卡路里",会进行过度和强迫性的体育锻炼(病理性锻炼,PE)。病理性运动会对健康造成负面影响。由于非运动性活动(NEA)与积极情绪效应相关,因此有可能成为抵制 PE 和问题饮食行为的干预目标。然而,迄今为止,尚无研究表明,健康人的 NEA 与情绪之间的积极联系是否也适用于 ED 患者:为了研究 NEA 与 ED 患者情绪之间的潜在联系,我们对 29 名 ED 患者和 35 名健康对照者(HCs)进行了为期 7 天的流动评估研究。我们通过加速度计测量NEA,并通过基于事件、活动和时间的混合采样策略,在电子智能手机日记上反复评估情绪。通过多层次建模分析了NEA对情绪的受试者内和受试者间效应、作为调节因素的PE以及效应的时间过程:NEA 增加了情绪(β = 2.12,p HC = 6.26,p ED = 4.02,p 交互作用 = 2.24,p = 0.0135)。NEA的效应在NEA的大多数时间范围内都是稳健的,并受到PE的显著调节,即较低的PE水平表现出较强的NEA对精力唤醒的效应:结论:ED和HC患者可从NEA中获得情感益处,部分取决于PE水平。如果在日常生活实验研究中得到证实,这一证据可能会为采取便捷的 NEA 干预措施来应对负面情绪铺平道路。如果以适时适应性干预(JITAIs)的方式进行干预,并根据 PE 水平量身定制干预方案,则会特别有前景。
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Acta Psychiatrica Scandinavica
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