Lee, Xin Ying

ABSTRACT Background This post hoc analysis examined the reduction in monthly headache days ( MHDs ) by frequency category shifts and associated improvements following eptinezumab treatment. Methods The DELIVER trial evaluated eptinezumab in adults with migraine for whom 2–4 previous preventive treatments failed. During a 24‐week, double‐blind, placebo‐controlled period followed by a 48‐week extension period, participants received IV eptinezumab 100 mg, 300 mg, or placebo every 12 weeks, with all receiving eptinezumab beginning Week 25 (dose‐blinded). Participants were categorized by MHD frequency: > 14, 8–14, 4 to < 8, 1 to < 4, 0. MHD category shifts were evaluated in the total population and several subgroups (including participants with > 14 baseline MHDs and early ≥ 50% responders). In participants reporting < 8 MHDs after all doses, the associated changes in headache intensity and disease status were evaluated. Results Of randomized participants, 88% (782/890) completed the trial. The percentage of participants randomized initially to eptinezumab who reported < 4 MHDs was 23% (138/592) over Weeks 1–12 and 47% (236/498) over Weeks 61–72; 9% reported 0 MHDs after the final dose. Of participants randomized initially to eptinezumab who shifted from ≥ 8 MHDs at baseline to < 8 over Weeks 1–12, 71% (170/241) reported < 8 MHDs for the rest of the trial; of those who shifted from > 14 to < 8 MHDs, 66% (49/74) reported < 8 MHDs for the rest of the trial. Reduction to < 8 MHDs was associated with robust improvements in headache intensity and disease burden. Conclusions Eptinezumab was associated with sustained reduction in MHD category, with some achieving headache/migraine freedom in patients with a history of preventive treatments that failed. Trial Registration ClinicalTrials.gov (identifier: NCT04418765; https://www.clinicaltrials.gov/ct2/show/NCT04418765 ) and EudraCT (identifier: 2019‐004497‐25; https://www.clinicaltrialsregister.eu/ctr‐search/search?query=2019‐004497‐25 )

Abstract Objective To assess preferences among adults with migraine for differentiating attributes of injected or infused preventive treatment options and evaluate their importance in determining a treatment choice. Background Adults with migraine and health‐care providers consider many factors when making treatment decisions. Injected or infused preventive migraine treatment options differ in several attributes, including mode of administration and dosing frequency, which may be preferentially selected or avoided by patients. Understanding a patient's preference is important for clinicians as they advise on various treatment options. Methods A total of 604 US adults diagnosed with migraine participated in an online survey that captured information on demographics, migraine history, and treatment preferences. A discrete choice experiment (DCE) was used to evaluate participants’ preferences for specific attributes of injected/infused preventive migraine therapies. The DCE data were utilized to estimate attribute importance (expressed as a percentage) and identify subgroups that had different distributions of preferences. Results In the overall migraine population, mode of administration (28.8%), durability of effectiveness (27.0%), and speed of onset (25.5%) had the highest relative importance, whereas administration setting (9.9%) and dosing frequency (8.8%) had the lowest. Four distinct subgroups were identified: Group 1 ( n = 128) preferred self‐injection administration and durability of effectiveness; Group 2 ( n = 189) expressed aversion to cranial injections; Group 3 ( n = 158) prioritized rapid speed of onset; and Group 4 ( n = 129) favored health‐care provider administration and durability of effectiveness. Conclusions Speed of onset, durability of effectiveness, and mode of administration are key moderators of treatment preference among US adults with migraine. Certain segments of the migraine population prioritize specific treatment attributes over others, with intravenous infusion not considered a barrier in three of four identified segments. Clinicians can best help their patients find the right medication if they understand which medication attributes are most and least important to them.