Prediction of headache response in migraine treatment
Abstract
Triptans are efficacious for the acute treatment of migraine attacks. Yet, defining a concentration-effect relation for these compounds is difficult as the dynamics of the migraine attack are not thoroughly understood. The objective of this investigation was to develop a disease model to predict measures of headache in randomized placebo-controlled clinical trials investigating oral sumatriptan as a paradigm compound. A hidden Markov model based on the states of response (no relief, relief, and pain free) and headache scores (observed variable) was used in conjunction with population pharmacokinetics. Model parameters were capable of predicting the course of headache relief, pain-free status and headache recurrence. It was shown that sumatriptan shortens mean transit times between states by up to 5 h. The potency of sumatriptan (EC(50)) was 9 ng/ml. These findings demonstrate the value of combining pharmacokinetic and efficacy information to model disease and characterize time-independent drug properties in a population of migraineurs.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.
Read the paper
Related studies
- Meta-analysis of genome-wide association for migraine in six population-based European cohorts
- New and sex-specific migraine susceptibility loci identified from a multiethnic genome-wide meta-analysis
- microRNA profiling in atherosclerosis, diabetes, and migraine
- Genome‐Wide‐Associated Variants in Migraine Susceptibility: A Replication Study From North I ndia
- Pharmacoinformatics elucidation of potential drug targets against migraine to target ion channel protein KCNK18
- Upregulation of IL-1 Receptor Antagonist in a Mouse Model of Migraine
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.