Investigating the Long-term Effect of Pregnancy on the Course of Multiple Sclerosis Using Causal Inference

Author:

Gavoille AntoineORCID,Rollot Fabien,Casey RomainORCID,Debouverie Marc,Le Page Emmanuelle,Ciron JonathanORCID,De Seze Jerome,Ruet Aurélie,Maillart ElisabethORCID,Labauge Pierre,Zephir Helene,Papeix Caroline,Defer Gilles,Lebrun-Frenay ChristineORCID,Moreau Thibault,Laplaud David Axel,Berger Eric,Stankoff Bruno,Clavelou Pierre,Thouvenot EricORCID,Heinzlef Olivier,Pelletier Jean,Al Khedr Abdullatif,Casez Olivier,Bourre BertrandORCID,Cabre Philippe,Wahab Abir,Magy Laurent,Camdessanche Jean-Philippe,Maurousset Aude,Moulin Solène,Ben Nasr Haifa,Boulos Dalia Dimitri,Hankiewicz Karolina,Neau Jean-Philippe,Pottier Corinne,Nifle Chantal,Rabilloud MurielORCID,Subtil Fabien,Vukusic Sandra,

Abstract

Background and ObjectivesThe question of the long-term safety of pregnancy is a major concern in patients with multiple sclerosis (MS), but its study is biased by reverse causation (women with higher disability are less likely to experience pregnancy). Using a causal inference approach, we aimed to estimate the unbiased long-term effects of pregnancy on disability and relapse risk in patients with MS and secondarily the short-term effects (during the perpartum and postpartum years) and delayed effects (occurring beyond 1 year after delivery).MethodsWe conducted an observational cohort study with data from patients with MS followed in the Observatoire Français de la Sclérose en Plaques registry between 1990 and 2020. We included female patients with MS aged 18–45 years at MS onset, clinically followed up for more than 2 years, and with ≥3 Expanded Disease Status Scale (EDSS) measurements. Outcomes were the mean EDSS score at the end of follow-up and the annual probability of relapse during follow-up. Counterfactual outcomes were predicted using the longitudinal targeted maximum likelihood estimator in the entire study population. The patients exposed to at least 1 pregnancy during their follow-up were compared with the counterfactual situation in which, contrary to what was observed, they would not have been exposed to any pregnancy. Short-term and delayed effects were analyzed from the first pregnancy of early-exposed patients (who experienced it during their first 3 years of follow-up).ResultsWe included 9,100 patients, with a median follow-up duration of 7.8 years, of whom 2,125 (23.4%) patients were exposed to at least 1 pregnancy. Pregnancy had no significant long-term causal effect on the mean EDSS score at 9 years (causal mean difference [95% CI] = 0.00 [−0.16 to 0.15]) or on the annual probability of relapse (causal risk ratio [95% CI] = 0.95 [0.93–1.38]). For the 1,253 early-exposed patients, pregnancy significantly decreased the probability of relapse during the perpartum year and significantly increased it during the postpartum year, but no significant delayed effect was found on the EDSS and relapse rate.DiscussionUsing a causal inference approach, we found no evidence of significantly deleterious or beneficial long-term effects of pregnancy on disability. The beneficial effects found in other studies were probably related to a reverse causation bias.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical)

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