Poster

  • P166

Gradually shifting clinical phenomics in migraine spectrum: A Cross-sectional, Multicenter study of 5438 patients

Beitrag in

Poster session 14

Posterthemen

Mitwirkende

Ye Ran (Beijing/ CN), Ziming Yin (Shanghai/ CN), Yajun Lian (Zhengzhou/ CN), Yanmei Xu (Chuzhou/ CN), Yajie Li (Jilin/ CN), Jiale Liu (Jilin/ CN), Qun Gu (Huzhou/ CN), Fanhong Yan (Linyi/ CN), Zhaoli Ge (Shenzhen/ CN), Yu Lian (Hinggan/ CN), Dongmei Hu (Shandong/ CN), Sufen Chen (Changsha/ CN), Yangyang Wang (Beijing/ CN), Xiaolin Wang (Beijing/ CN), Rongfei Wang (Beijing/ CN), Xiaoyan Chen (Beijing/ CN), Jing Liu (Beijing/ CN), Mingjie Zhang (Beijing/ CN), Xun Han (Beijing/ CN), Wei Xie (Beijing/ CN), Zhe Yu (Beijing/ CN), Ya Cao (Beijing/ CN), Yingji Li (Beijing/ CN), Ke Li (Beijing/ CN), Zhao Dong (Beijing/ CN), Shengyuan Yu (Beijing/ CN)

Abstract

Abstract text (incl. figure legends and references)

Objective: The aim of the study was to investigate whether MwoA and MwA are different manifestations of a single disease, distinct clinical entities, or located at two poles of a spectrum.

Methods: In this cross-sectional study, 5438 patients from 10 hospitals in China were included: 4651 were diagnosed with migraine without aura (MwoA) and 787 with migraine with aura (MwA). We used a validated standardized electronic survey to collect multidimensional data on headache characteristics and evaluated the similarities and differences between migraine subtypes. To distinguish migraine subtypes, we employed correlational analysis, factor analysis of mixed data (FAMD), and decision tree analysis.

Results: Compared to MwA, MwoA had more severe headaches, predominantly affected females, were more easily produced by external factors, and were more likely to have accompanying symptoms and premonitory neck stiffness. Patients with MwA are heterogeneous, according to correlation analysis; FAMD divided the subjects into three clear clusters. The majority of the differences between MwoA and MwA were likewise seen when typical aura with migraine headache (AWM) and typical aura with non-migraine headache (AWNM) were compared. Furthermore, decision trees analysis revealed that the chaotic MwA data reduced the decision tree"s accuracy in distinguishing MwoA from MwA, which was significantly increased by splitting MwA into AWM and AWNM.

Conclusions: The clinical phenomics of headache phenotype varies gradually from MwoA to AWM and AWNM, and AWM is a mid-state between MwoA and AWNM. We tend to regard migraine as a spectrum disorder, and speculate that different migraine subtypes have different "predominant regions" that generate attacks.

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