Evidence Hub

Erenumab during pregnancy: a case report in a patient with chronic migraine

L. Fofi, G. Egeo, C. Aurilia, P. Barbanti

Neurological Sciences, 2020

12 citations

Abstract

Background: Migraine is very common in women of childbearing age. Erenumab is a first-in-class anti-CGRP monoclonal antibody with a a favorable efficacy/tolerability profile. However, there are very limited data on its effects during pregnancy.Case presentation: We report a case of a 37-years-old woman affected by chronic migraine who became pregnant during erenumab treatment. At the time of her first visit at our Unit she was on prophylaxis with sodium valproate 600 mg/day reporting low efficacy (18 headache days/month) and tolerability (weight gain). She had already failed 5 prior preventative treatments. On the same day started erenumab 70 mg, tapering down valproate. Erenumab was rapidly effective, reducing migraine frequency (7 days/month) since the first administration. On the follow-up visit scheduled for the fifth erenumab administration, the patient informed us of her pregnancy, documented by appropriate serological test the day before. Erenumab was immediately stopped. The last erenumab administration was made on 04/07/2019, probably corresponding to the first two weeks of pregnancy. Serological fetal DNA test was normal. During the I pregnancy trimester the frequency of migraine increased up to 10 days/month, markedly improving and progressively disappearing during the II-III trimesters. Migraine attacks started again from the 34th week of pregnancy throughout delivery and breast feeding. No other adverse event or complication occurred during pregnancy. The baby,…

How strong is the evidence?

Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

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.

Open this study Sign up free