Evidence map›Paper›PMID 40514582›Full record

ArticleDrug safety2025

Identifying Maternal Conditions Leading to Gabapentinoid Prescriptions in Pregnancy Using Electronic Health Records from Six European Countries: A Contribution from the IMI ConcePTION Project.

Anna-Belle Beau, Olga Paoletti, Justine Bénévent, Marie Beslay, Xavier Moisset, Elisa Ballardini, Laia Barrachina-Bonet, Clara Cavero-Carbonell, Alex Coldea, Laura García-Villodre and 14 more

Abstract read
In one paragraph

Article in Drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Anna-Belle BeauToulouse University Hospital, CERPOP-SPHERE Team, Inserm UMR 1295, Toulouse University, 37 allées Jules Guesde Bat C floor 3, 31000, Toulouse, France. anna-belle.beau@univ-tlse3.fr.ORCID http://orcid.org/0000-0003-4631-100X
Olga PaolettiRegional health agency of Tuscany, Florence, Italy.
Justine BénéventToulouse University Hospital, CERPOP-SPHERE Team, Inserm UMR 1295, Toulouse University, 37 allées Jules Guesde Bat C floor 3, 31000, Toulouse, France.
Marie BeslayToulouse University Hospital, CERPOP-SPHERE Team, Inserm UMR 1295, Toulouse University, 37 allées Jules Guesde Bat C floor 3, 31000, Toulouse, France.
Xavier MoissetCHU de Clermont-Ferrand, Inserm, Neuro-Dol, Université Clermont Auvergne, Clermont-Ferrand, France.
Elisa BallardiniDepartment of Medical Sciences, Neonatal Intensive Care Unit, University Hospital of Ferrara, IMER Registry (Emilia Romagna Registry of Birth Defects), University of Ferrara, Ferrara, Italy.
Laia Barrachina-BonetRare Disease Research Unit, Foundation for Promotion of Health and Biomedical Research of Valencian Region (FISABIO), Valencia, Spain.
Clara Cavero-CarbonellRare Disease Research Unit, Foundation for Promotion of Health and Biomedical Research of Valencian Region (FISABIO), Valencia, Spain.
Alex ColdeaFaculty of Medicine, Health and Life Science, Swansea University, Swansea, Wales.
Laura García-VillodreRare Disease Research Unit, Foundation for Promotion of Health and Biomedical Research of Valencian Region (FISABIO), Valencia, Spain.
Anja GeldhofJanssen Biologics B.V., Leiden, Netherlands.
Rosa GiniRegional health agency of Tuscany, Florence, Italy.
Mika GisslerDepartment of Data and Analytics, Finnish Institute for Health and Welfare, Helsinki, Finland.
Sue JordanFaculty of Medicine, Health and Life Science, Swansea University, Swansea, Wales.
Maarit K LeinonenDepartment of Data and Analytics, Finnish Institute for Health and Welfare, Helsinki, Finland.
Marco ManfriniDepartment of Medical Sciences, Centre for Clinical and Epidemiological Research, Ferrara University, Ferrara, Italy.
Visa MartikainenDepartment of Data and Analytics, Finnish Institute for Health and Welfare, Helsinki, Finland.
Vera R MitterSchool of Health Professionals, Midwifery Department, Bern University of Applied Sciences, Bern, Switzerland.
Joan K MorrisCity St George's, University of London, London, UK.
Amanda J NevilleIMER Registry (Emilia Romagna Registry of Birth Defects, University Hospital of Ferrara, Ferrara, Italy.
Hedvig NordengPharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
Aurora PucciniEmilia-Romagna Regional Center of Pharmacovigilance, Bologna, Italy.
Jingping MoWorldwide Medical and Safety, Pfizer Inc., New York, NY, USA.
Christine Damase-MichelToulouse University Hospital, CERPOP-SPHERE Team, Inserm UMR 1295, Toulouse University, 37 allées Jules Guesde Bat C floor 3, 31000, Toulouse, France.

Funding

Innovative Medicines Initiative 821520
6 · The paper itself

Abstract

INTRODUCTION AND

objectiveGiven the recent increase in the prescription and dispensation of gabapentinoids (gabapentin and pregabalin) and the importance of controlling for underlying maternal illnesses in drug safety studies, we aimed to develop algorithms for identifying maternal conditions leading to gabapentinoid prescribing among pregnant women using data from six electronic healthcare data sources across Europe.

methodsThe study was conducted in Finland, France (Haute-Garonne), Italy (Emilia Romagna), Norway, Spain (Valencian region), and Wales (UK), covering three million pregnancies from 2006 to 2020. Algorithms were developed to detect epilepsy, neuropathic pain, and generalized anxiety disorder (GAD) (approved indications for gabapentinoids by the European Medicines Agency, with the exception of gabapentin for GAD) using data ± 1 year around the gabapentinoid prescription date. Data included prescriber specialty, primary and specialized health care diagnoses, and co-prescription/dispensation data. Additional analyses investigated potential unlicensed indications (such as fibromyalgia, restless legs syndrome, bipolar disorder) and potential for abuse (using codes for substance use disorders and alcohol withdrawal).

resultsGabapentinoids were prescribed/dispensed in 1770 pregnancies (7.7 per 1000) in Spain, 2912 pregnancies (6.6 per 1000) in Wales, 3163 pregnancies (3.6 per 1000) in Norway, 2406 pregnancies (3.0 per 1000) in Finland, 908 pregnancies (2.2 per 1000) in Italy, and 269 pregnancies (1.9 per 1000) in France. A maternal condition related to gabapentinoid prescriptions was identified by the algorithm in 2797 (88.4%) in Norway, 2180 (74.9%) in Wales, 1269 (71.7%) in Spain, 1534 (63.8%) in Finland, 163 (60.6%) in France, and 396 (43.6%) pregnancies in Italy. Anxiety (licensed or unlicensed) was the most commonly captured condition in Wales (70.5%), Spain (51.5%), Finland (42.0%), and Italy (26.2%), whereas neuropathic pain prevailed in Norway (76.9%) and France (49.8%). Epilepsy was the least frequent maternal condition leading to gabapentinoid prescriptions across all data sources (below 15% of all pregnancies). The relative preponderance of these conditions differed between pregabalin and gabapentin. Additionally, unlicensed indications were captured in 0% to 13% of pregnancies, depending on the data source. The analyses of potential for abuse showed that records of alcohol withdrawal and/or substance use disorders (within 1 year before and after the gabapentinoids prescription/dispensation date) were present in 3% of pregnancies in Italy and up to 23% in Wales.

conclusionsOur study provides valuable insights into gabapentinoid use during pregnancy, with anxiety being the most common condition among pregnant women with gabapentinoid prescriptions in Finland, Italy, Spain, and Wales, whereas neuropathic pain predominated in France and Norway. Moreover, we found that between 3 and 23% of these pregnancies were associated with substance abuse, underscoring the need for careful prescribing of commonly abused medicines. The proposed methods for detecting maternal conditions leading to prescribing will facilitate accurate assessment of medication use and safety during pregnancy, whilst addressing confounding by indication.

Indexed as

Electronic Health RecordsGabapentinPregabalinPregnancy ComplicationsAdultAlgorithmsDrug PrescriptionsEpilepsyEuropeFemaleHumansNeuralgiaPractice Patterns, Physicians'PregnancyGabapentinPregabalin

Identifiers

PMID40514582
PMCPMC12515234

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