Zhu Yajie, Sun Weidi, Song Yuan, Canoy Dexter, Song Peige, Rahimi Kazem
School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.
Center for Clinical Big Data and Statistics of the Second Affiliated Hospital Zhejiang University School of Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Sci Rep. 2025 Jul 1;15(1):21640. doi: 10.1038/s41598-025-04238-3.
This prospective study aimed to explore whether the associations between pain phenotypes, pain relief medications, and stroke risk differ by sex. We used data from 473,729 participants in the UK Biobank. Pain phenotypes were categorized as no pain, short-term pain, chronic localized pain (CLP), and chronic widespread pain (CWP). Stroke events, including ischaemic stroke and haemorrhagic stroke, were identified through hospital and death records. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) for stroke, with interaction terms included to assess sex differences. We also evaluated the association between pain relief medications and stroke risk among the chronic pain subcohort. CWP was associated with higher stroke risks in both men (HR 1.36, 95% CI 1.11-1.65) and women (HR 1.31, 95% CI 1.08-1.60); however, women with CLP exhibited a significantly higher risk of stroke (HR 1.16, 95% CI 1.08-1.25) and ischaemic stroke (HR 1.18, 95% CI 1.09-1.28), while no significant associations between CLP and stroke and subtypes were observed in men (p for sex interactions < 0.001). Regarding pain relief, aspirin use was associated with an increased risk of stroke (HR 1.19, 95% CI 1.08-1.30), and opioid use was linked to a greater increase in the risk of subarachnoid haemorrhage (HR 1.92, 95% CI 1.25-2.95). Chronic pain phenotypes, particularly in women and individuals with multiple CLP sites and CWP, were significantly associated with increased risks of stroke. Use of aspirin and opioids was also associated with higher stroke risks.
这项前瞻性研究旨在探讨疼痛表型、止痛药物与中风风险之间的关联是否因性别而异。我们使用了英国生物银行中473729名参与者的数据。疼痛表型分为无疼痛、短期疼痛、慢性局限性疼痛(CLP)和慢性广泛性疼痛(CWP)。通过医院和死亡记录确定中风事件,包括缺血性中风和出血性中风。使用多变量Cox比例风险模型来估计中风的风险比(HRs),并纳入交互项以评估性别差异。我们还评估了慢性疼痛亚组中止痛药物与中风风险之间的关联。CWP在男性(HR 1.36,95%CI 1.11 - 1.65)和女性(HR 1.31,95%CI 1.08 - 1.60)中均与较高的中风风险相关;然而,患有CLP的女性发生中风(HR 1.16,95%CI 1.08 - 1.25)和缺血性中风(HR 1.18,95%CI 1.09 - 1.28)的风险显著更高,而在男性中未观察到CLP与中风及亚型之间的显著关联(性别交互作用p<0.001)。关于止痛,使用阿司匹林与中风风险增加相关(HR 1.19,95%CI 1.08 - 1.30),使用阿片类药物与蛛网膜下腔出血风险的更大增加相关(HR 1.92,95%CI 1.25 - 2.95)。慢性疼痛表型,特别是在女性以及具有多个CLP部位和CWP的个体中,与中风风险增加显著相关。使用阿司匹林和阿片类药物也与较高的中风风险相关。