Value of Sleep Metrics in Predicting Opioid-Use Disorder Treatment Outcomes: Leadership and Data Coordinating Center

睡眠指标在预测阿片类药物使用障碍治疗结果中的价值:领导力和数据协调中心

基本信息

  • 批准号:
    10783610
  • 负责人:
  • 金额:
    $ 64.01万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-30 至 2027-08-31
  • 项目状态:
    未结题

项目摘要

Opioid-use disorder (OUD) is a major public health problem, affecting over 2.7 million people and resulting in over 90,000 deaths in 2020 in the U.S., as well as broadly impacting the mental and physical health of individuals suffering from an OUD and the communities and families of affected individuals. Treatment effectiveness for OUD depends on retention in care. Unfortunately, a systematic review reported that the median retention rate at 6 months for Medications for Opioid Use Disorder (MOUD) programs across 19 studies was only 58%. Sleep disturbances have been identified as predictors of treatment attrition and are related to OUD through bi-directional pathways involving pain, stress, and emotional dysregulation, and could serve as future intervention targets to improve OUD outcomes. However, there is a limited understanding of the predictive value of specific measures of sleep and circadian rhythm during early recovery, and almost no data on how sleep and circadian parameters interact with other risk factors for MOUD outcomes. We have assembled a team of sleep scientists, addiction medicine specialists, biostatisticians, and clinical trialists and will leverage the exceptional resources of Brigham and Women's Hospital's Program in Sleep Medicine Epidemiology, Sleep Reading Center, and Division of Biostatistics at Harvard Pilgrim Health Care Institute to lead the Leadership and Data Coordinating Center (LDCC) for this multi-site study. The LDCC will develop a Common Protocol for the collection of standardized data for predicting MOUD outcomes across four Research Centers and will lead, coordinate, and implement all aspects of this common protocol, providing comprehensive, responsive, and innovative data and project management. It will facilitate recruitment and data sharing and support the rigorous collection and analyses of comprehensive sleep measurements. In addition to risk factors suggested by existing prediction models and HEAL initiative common data elements, sleep will be assessed by EEG -- a biomarker of neurophysiology and psychiatric diseases -- and will be measured on two nights approximately one month apart from 400 patients enrolled in a MOUD program. Sleep macro- and micro-architecture will be derived using centralized sleep scoring and advanced EEG quantitative signal analysis. Sleep-disordered breathing, periodic limb movements, sleep-wake patterns and circadian risk factors will be measured by polysomnography, validated questionnaires and multiple day Fitbit trackers. The primary endpoint will be treatment retention at 6 months after study enrollment. Secondary outcomes will include time to treatment drop out, and illicit drug use and non-medical opioid use; opioid craving; withdrawal symptoms; alcohol use; pain intensity and interference; physical functioning; sleep disturbance and quality measured at 6- month. We will adopt an ensemble algorithm (the Super Learner) to develop the prediction model that finds the optimal combination of a collection of statistical and machine learning algorithms. This data-science based plan and our multi-disciplinary expertise will ensure that the goals of this study are met.
阿片类药物使用障碍(OUD)是一个重大的公共卫生问题,影响到270多万人,并导致

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Shaun M Purcell其他文献

F95. GENETIC CORRELATES OF SLEEP SPINDLE ABNORMALITIES IN SCHIZOPHRENIA
F95. 精神分裂症睡眠纺锤波异常的遗传相关性
  • DOI:
    10.1016/j.euroneuro.2023.08.476
  • 发表时间:
    2023-10-01
  • 期刊:
  • 影响因子:
    6.700
  • 作者:
    Jun Wang;Nataliia Kozhemiako;Chenguang Jiang;Zhenglin Guo;Sinéad Chapman;Shen Li;Lu Shen;Shengying Qin;Michael Murphy;Dara Manoach;Zhenhe Zhou;Meihua Hall;Jen Q Pan;Hailiang Huang;Shaun M Purcell
  • 通讯作者:
    Shaun M Purcell
ラウンドテーブル アナボリック・アンドロジェニック・ステロイド(パート2)
圆桌会议合成代谢和雄激素类固醇(第 2 部分)
  • DOI:
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Alisa Manning;Heather M Highland;J. Gasser;Xueling Sim;Taru Tukiainen;Pierre Fontanillas;Niels Grarup;Manuel A Rivas;Anubha Mahajan;Adam E Locke;Pablo Cingolani;Tune H Pers;Ana Viñuela;Andrew Brown;Ying Wu;Jason Flannick;Christian Fuchsberger;Eric R Gamazon;Kyle J Gaulton;Hae Kyung Im;Tanya M Teslovich;Thomas W Blackwell;Jette Bork;Noël P Burtt;Yuhui Chen;T. Green;Christopher Hartl;Hyun Min Kang;Ashish Kumar;Claes Ladenvall;Clement Ma;Loukas Moutsianas;Richard D Pearson;John R B Perry;N. Rayner;Neil R Robertson;Laura J Scott;Martijn van de Bunt;Johan G Eriksson;Antti Jula;Seppo Koskinen;Terho Lehtimäki;Aarno Palotie;Olli T Raitakari;Suzanne BR Jacobs;J. Wessel;Audrey Y Chu;Robert A. Scott;Mark O Goodarzi;Christine Blancher;Gemma Buck;David Buck;Peter S Chines;Stacey Gabriel;Anette P Gjesing;Christopher J Groves;Mette Hollensted;Jeroen R Huyghe;Anne U Jackson;Goo Jun;Johanne Marie Justesen;Massimo Mangino;J. Murphy;Matt Neville;Robert Onofrio;Kerrin S Small;Heather M Stringham;Joseph Trakalo;Eric Banks;Jason Carey;Mauricio O Carneiro;Mark DePristo;Yossi Farjoun;Timothy J. Fennell;Jacqueline I Goldstein;George Grant;Martin Hrabé de Angelis;J. Maguire;Benjamin M Neale;Ryan Poplin;Shaun M Purcell;Thomas Schwarzmayr;Khalid Shakir;Joshua D Smith;Tim M. Strom;Thomas Wieland;Jaana Lindstrom;Ivan Brandslund;Cramer Christensen;Gabriela L Surdulescu;Timo A Lakka;Alex S F Doney;Peter Nilsson;Nicholas J Wareham;C. Langenberg;Tibor V Varga;Paul W Franks;Olov Rolandsson;Anders H Rosengren;Vidya S Farook;Farook Thameem;Sobha Puppala;Satish Kumar;Donna M Lehman;Christopher P Jenkinson;Joanne E Curran;Daniel Esten Hale;Sharon P Fowler;Rector Arya;Ralph A. DeFronzo;Hanna E Abboud;Ann;Pamela J Hicks;Nicholette D Palmer;Maggie C Y Ng;Donald W Bowden;Barry I Freedman;Tõnu Esko;Reedik Mägi;Lili Milani;Evelin Mihailov;Andres Metspalu;Narisu Narisu;Leena Kinnunen;Lori L Bonnycastle;Amy Swift;Dorota Pasko;Andrew R Wood;João Fadista;Toni I Pollin;Nir Barzilai;Gil Atzmon;Benjamin Glaser;Barbara Thorand;Konstantin Strauch;Annette Peters;Michael Roden;Martina Müller;L. Liang;Jennifer Kriebel;Thomas Illig;Harald Grallert;Christian Gieger;Christa Meisinger;Lars Lannfelt;Solomon K Musani;Michael D. Griswold;Herman A Taylor;G. Wilson;Adolfo Correa;Heikki Oksa;W. R. Scott;Uzma Afzal;Sian;Marie Loh;John C Chambers;Jobanpreet Sehmi;Jaspal Singh Kooner;Benjamin;Lehne;Yoon;Shin;Cho;Jong;Lee;Bok;Han;Annemari Käräjämäki;Qi Qi;Lu Qi;Jinyan Huang;Frank B. Hu;O. Melander;Marju Orho;David Aguilar;Tien Yin Wong;Jianjun Liu;Chiea;Kee Seng Chia;W. Y. Lim;Chingwen Cheng;E. Chan;E. S. Tai;Tin Aung;Allan Linneberg;Bo Isomaa;T. Meitinger;T. Tuomi;Liisa Hakaste;Jasmina Kravic;Marit E Jørgensen;T. Lauritzen;Panos Deloukas;Kathleen E Stirrups;Katharine R Owen;Andrew J Farmer;Timothy M Frayling;Stephen P O'Rahilly;M. Walker;Jonathan C Levy;Dylan Hodgkiss;Andrew T. Hattersley;Teemu Kuulasmaa;Inês Barroso;Dwaipayan Bharadwaj;Juliana Chan;G. R. Chandak;Mark J Daly;Peter J Donnelly;Shah B Ebrahim;Paul Elliott;Tasha Fingerlin;Philippe Froguel;Cheng Hu;Weiping Jia;R. C. Ma;Gilean McVean;Taesung Park;D. Prabhakaran;Manjinder Sandhu;J. Scott;Rob Sladek;Nikhil Tandon;Yik Ying Teo;Eleftheria Zeggini;Richard M Watanabe;Heikki A Koistinen;Y. A. Kesaniemi;Matti Uusitupa;Tim Spector;Veikko Salomaa;Rainer Rauramaa;Colin N A Palmer;Inga Prokopenko;Andrew D Morris;Richard N Bergman;Francis S. Collins;Lars Lind;Erik;Ingelsson;Jaakko;Tuomilehto;Fredrik;Karpe;Leif;Groop;Torben Jørgensen;Torben Hansen;Oluf Pedersen;Johanna Kuusisto;Gonçalo Abecasis
  • 通讯作者:
    Gonçalo Abecasis

Shaun M Purcell的其他文献

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{{ truncateString('Shaun M Purcell', 18)}}的其他基金

Longitudinal Relationships Among Sleep, Cognition and Alzheimer's Disease Biomarkers: Discerning Causal Associations, Mediators and Susceptibility
睡眠、认知和阿尔茨海默病生物标志物之间的纵向关系:辨别因果关系、中介因素和易感性
  • 批准号:
    10583493
  • 财政年份:
    2021
  • 资助金额:
    $ 64.01万
  • 项目类别:
Longitudinal Relationships Among Sleep, Cognition and Alzheimer's Disease Biomarkers: Discerning Causal Associations, Mediators and Susceptibility
睡眠、认知和阿尔茨海默病生物标志物之间的纵向关系:辨别因果关系、中介因素和易感性
  • 批准号:
    10399412
  • 财政年份:
    2021
  • 资助金额:
    $ 64.01万
  • 项目类别:
Enhanced Measurement and Modeling of Sleep Electrophysiology to Better Understand Sleep Disparities
增强睡眠电生理学测量和建模,以更好地了解睡眠差异
  • 批准号:
    10020195
  • 财政年份:
    2019
  • 资助金额:
    $ 64.01万
  • 项目类别:
Sleep Physiology Dynamics: Quantification, Characterization and Genetic Dissection
睡眠生理学动力学:量化、表征和基因剖析
  • 批准号:
    9902196
  • 财政年份:
    2019
  • 资助金额:
    $ 64.01万
  • 项目类别:
Genome-wide association study of sleep spindles and related polysomnography measures
睡眠纺锤波和相关多导睡眠图测量的全基因组关联研究
  • 批准号:
    9332476
  • 财政年份:
    2016
  • 资助金额:
    $ 64.01万
  • 项目类别:
Genome-wide association study of sleep spindles and related polysomnography measures
睡眠纺锤波和相关多导睡眠图测量的全基因组关联研究
  • 批准号:
    9019287
  • 财政年份:
    2016
  • 资助金额:
    $ 64.01万
  • 项目类别:
Leveraging identity-by-descent information in large-scale population sequencing
在大规模群体测序中利用血统身份信息
  • 批准号:
    8704772
  • 财政年份:
    2012
  • 资助金额:
    $ 64.01万
  • 项目类别:
Leveraging identity-by-descent information in large-scale population sequencing
在大规模群体测序中利用血统身份信息
  • 批准号:
    8548408
  • 财政年份:
    2012
  • 资助金额:
    $ 64.01万
  • 项目类别:
Leveraging identity-by-descent information in large-scale population sequencing
在大规模群体测序中利用血统身份信息
  • 批准号:
    8419791
  • 财政年份:
    2012
  • 资助金额:
    $ 64.01万
  • 项目类别:
Software for the analysis of large-scale genotyping and sequencing studies
用于分析大规模基因分型和测序研究的软件
  • 批准号:
    8305019
  • 财政年份:
    2010
  • 资助金额:
    $ 64.01万
  • 项目类别:

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新手如何编写代码:发现最佳实践以及如何采用它们
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