A prognostic risk score for development and spread of chronic pain.
A prognostic risk score for development and spread of chronic pain.
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DOI：
10.1038/s41591-023-02430-4
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发表时间：
2023-07
期刊：
影响因子：
82.9
通讯作者：
Vachon-Presseau, Etienne
中科院分区：
文献类型：
--
作者：
Tanguay-Sabourin, Christophe;Fillingim, Matt;Guglietti, Gianluca V.;Zare, Azin;Parisien, Marc;Norman, Jax;Sweatman, Hilary;Da-ano, Ronrick;Heikkala, Eveliina;Perez, Jordi;Karppinen, Jaro;Villeneuve, Sylvia;Thompson, Scott J.;Martel, Marc O.;Roy, Mathieu;Diatchenko, Luda;Vachon-Presseau, Etienne
慢性疼痛是一种复杂的疾病，受到生物、心理和社会因素的综合影响。使用英国生物库(n = 493,211)的数据，我们发现疼痛从近端蔓延到远端，并开发了一个生物心理社会模型，预测了共存疼痛部位的数量。这个数据驱动模型被用来确定对各种慢性疼痛状况(曲线下面积(AUC)0.70-0.88)和与疼痛相关的医疗状况(AUC 0.67-0.86)进行分类的风险分数。在纵向分析中，风险评分预测了广泛的慢性疼痛的发展，慢性疼痛在身体部位的扩散，以及大约9年后的高度冲击性疼痛(AUC 0.68-0.78)。关键的风险因素包括失眠、感到厌烦、疲倦、有压力的生活事件和身体质量指数。这个分数的简化版本名为疼痛蔓延的风险，基于六个简单的问题和二进制答案获得了类似的预测性能。然后，在芬兰北部出生队列(n = 5,525)和预防AD队列(n = 178)中验证了疼痛蔓延的风险，获得了类似的预测性能。我们的发现表明，慢性疼痛状况可以从一组共同的生物心理社会因素中预测出来，这有助于调整研究方案，优化临床试验中的患者随机化，并改善疼痛管理。使用来自英国生物库的生物、心理和社会因素数据开发的风险评分可以预测不同的疼痛状况，慢性疼痛扩散到身体部位的风险，以及长达9年后的慢性疼痛的预后。
Chronic pain is a complex condition influenced by a combination of biological, psychological and social factors. Using data from the UK Biobank (n = 493,211), we showed that pain spreads from proximal to distal sites and developed a biopsychosocial model that predicted the number of coexisting pain sites. This data-driven model was used to identify a risk score that classified various chronic pain conditions (area under the curve (AUC) 0.70–0.88) and pain-related medical conditions (AUC 0.67–0.86). In longitudinal analyses, the risk score predicted the development of widespread chronic pain, the spreading of chronic pain across body sites and high-impact pain about 9 years later (AUC 0.68–0.78). Key risk factors included sleeplessness, feeling ‘fed-up’, tiredness, stressful life events and a body mass index >30. A simplified version of this score, named the risk of pain spreading, obtained similar predictive performance based on six simple questions with binarized answers. The risk of pain spreading was then validated in the Northern Finland Birth Cohort (n = 5,525) and the PREVENT-AD cohort (n = 178), obtaining comparable predictive performance. Our findings show that chronic pain conditions can be predicted from a common set of biopsychosocial factors, which can aid in tailoring research protocols, optimizing patient randomization in clinical trials and improving pain management. A risk score developed using biological, psychological and social factor data from the UK Biobank can predict different pain conditions, the risk of chronic pain spreading across body sites and the prognosis of chronic pain up to 9 years later.
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影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
Smith, S
影响因子：
64.8
作者：
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者：
Marchini J
人脑网络组图谱：基于连接架构的新大脑图谱
DOI：
10.1093/cercor/bhw157
发表时间：
2016-08
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
--
作者：
Fan L;Li H;Zhuo J;Zhang Y;Wang J;Chen L;Yang Z;Chu C;Xie S;Laird AR;Fox PT;Eickhoff SB;Yu C;Jiang T
通讯作者：
Jiang T
影响因子：
30.8
作者：
Finucane HK;Bulik-Sullivan B;Gusev A;Trynka G;Reshef Y;Loh PR;Anttila V;Xu H;Zang C;Farh K;Ripke S;Day FR;ReproGen Consortium;Schizophrenia Working Group of the Psychiatric Genomics Consortium;RACI Consortium;Purcell S;Stahl E;Lindstrom S;Perry JR;Okada Y;Raychaudhuri S;Daly MJ;Patterson N;Neale BM;Price AL
通讯作者：
Price AL
影响因子：
30.8
作者：
Finucane HK;Reshef YA;Anttila V;Slowikowski K;Gusev A;Byrnes A;Gazal S;Loh PR;Lareau C;Shoresh N;Genovese G;Saunders A;Macosko E;Pollack S;Brainstorm Consortium;Perry JRB;Buenrostro JD;Bernstein BE;Raychaudhuri S;McCarroll S;Neale BM;Price AL
通讯作者：
Price AL