AHS 2022 | Precision phenotyping in migraine using topological data analysis

Chia-Chun Chiang, MD, Mayo Clinic, Rochester, MN, discusses a study on precision phenotyping in migraine using topological data analysis to visualize the spectrum of migraine clinical features. Using an established headache database from the Mayo Clinic, 4600 patients with migraine were utilized in the study. The topological data analysis tool was then used to investigate the intrinsic patient similarities between patient groups – demonstrating that amongst those 4600 patients, there were four distinct phenotype groups of patients with migraine. Furthermore, when the four phenotype groups were associated with their migraine disability score, they had distinct scores – indicating a distinct level of migraine disability. This helped distinguish between patients with different typical clinical features correlating with migraine-associated disability. This interview took place during the 2022 American Headache Society (AHS) Meeting in Denver, CO.