{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:40:16Z","timestamp":1792456816964,"version":"4.5.0"},"reference-count":30,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T00:00:00Z","timestamp":1792368000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001677","name":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001677","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004718","name":"Universit\u00e9 de Toulouse","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004718","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pharmacoepidemiology and Drug"],"published-print":{"date-parts":[[2026,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To identify prenatal medication exposure profiles associated with childhood asthma.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This population\u2010based cohort study used data from the POMME (PrescriptiOn M\u00e9dicaments M\u00e8res Enfants) cohort, including 18\u2009851 children born in the Haute\u2010Garonne area (France) in 2010 and 2015, and followed until 2023. Prenatal exposure was defined as medications dispensed to mothers during pregnancy, classified by Anatomical Therapeutic Chemical subclasses, assessed separately for each trimester as none, one dispensing, or at least two dispensings. Childhood asthma from Age 4\u2009years onward was identified using an algorithm based on dispensing of asthma medications. Bayesian profile regression was applied to simultaneously cluster children according to prenatal medication exposure profiles and asthma occurrence. High\u2010risk profiles were characterised by predominant medication classes, timing of exposure and maternal and infant characteristics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Seventeen prenatal medication exposure profiles were identified. Six profiles were associated with a higher average risk of childhood asthma compared with the overall population risk (15.2%). High\u2010risk profiles were characterised by repeated exposure throughout pregnancy to medications for acid\u2010related disorders, thyroid hormones, antibiotics, asthma medications and antihistamines, as well as by combinations involving antibiotics, nasal medications and cold medicines in late pregnancy. Mothers in high\u2010risk profiles more frequently presented chronic conditions and pregnancy\u2010related complications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This exploratory study identified prenatal medication exposure profiles associated with childhood asthma using a semi\u2010supervised Bayesian approach. This method highlights combinations and critical windows that may warrant further investigation and supports Bayesian profile regression as a useful tool for signal detection in perinatal pharmacoepidemiology.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/pds.70509","type":"journal-article","created":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:06:18Z","timestamp":1792454778000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification of Risk\u2010Related Prenatal Medication Exposure Profiles for Childhood Asthma Using the Bayesian Profile Regression: A Cohort Study Using the\n                    <scp>POMME<\/scp>\n                    Cohort"],"prefix":"10.1002","volume":"35","author":[{"given":"Sol\u00e8ne","family":"Russo","sequence":"first","affiliation":[{"name":"CERPOP, Inserm U1295  Toulouse France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9048-5336","authenticated-orcid":false,"given":"Justine","family":"B\u00e9n\u00e9vent","sequence":"additional","affiliation":[{"name":"CERPOP, Inserm U1295, Universit\u00e9 de Toulouse, Service de Pharmacologie Clinique, CHU de Toulouse  Toulouse France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4631-100X","authenticated-orcid":false,"given":"Anna\u2010Belle","family":"Beau","sequence":"additional","affiliation":[{"name":"CERPOP, Inserm U1295, Universit\u00e9 de Toulouse, Service de Pharmacologie Clinique, CHU de Toulouse  Toulouse France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,19]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0140\u20106736(00)03209\u20108"},{"key":"e_1_2_12_3_1","unstructured":"M.\u2010C.Delmas B.Leynaert L.Com\u2010Ruelle I.Annesi\u2010Maesano andC.Fuhrman \u201cAsthme: Pr\u00e9valence et Impact sur la vie Quotidienne. Analyse des Donn\u00e9es de L'enqu\u00eate D\u00e9cennale Sant\u00e9 2003 de L'INSEE \u201d2008 http:\/\/www.invs.sante.fr\/publications\/2008\/asthme\/RAPP_SCI_Asthme%202003_Web.pdf."},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40264\u2010013\u20100093\u2010z"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1136\/archdischild\u20102020\u2010319659"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12887\u2010020\u201002042\u20108"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamapediatrics.2022.5193"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12916\u2010022\u201002722\u20105"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40264\u2010018\u20100712\u20109"},{"key":"e_1_2_12_10_1","unstructured":"EUROCAT \u201cEUROCAT Guide 1.4: Instruction for the Registration of Congenital Anomalies \u201dEUROCAT Central Registry University of Ulster 2013 accessed December 8 2020 https:\/\/eu\u2010rd\u2010platform.jrc.ec.europa.eu\/sites\/default\/files\/JRC\u2010EUROCAT\u2010Full\u2010Guide\u20101.4\u2010version\u201015\u2010Nov\u20102019.pdf."},{"key":"e_1_2_12_11_1","unstructured":"\u201cATCDDD \u2013 ATC\/DDD Index \u201daccessed December 12 2025 https:\/\/atcddd.fhi.no\/atc_ddd_index\/."},{"key":"e_1_2_12_12_1","doi-asserted-by":"crossref","first-page":"e150","DOI":"10.1097\/AOG.0000000000002046","article-title":"Methods for Estimating the due Date","volume":"129","author":"Committee Opinion No 700","year":"2017","journal-title":"Obstetrics & Gynecology"},{"key":"e_1_2_12_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/hsr2.77"},{"key":"e_1_2_12_14_1","volume-title":"Recommandations Pour la Prise en Charge et le Suivi des Patients Asthmatiques Adultes","author":"Webmaster S.","year":"2022"},{"key":"e_1_2_12_15_1","unstructured":"\u201c2024 GINA Main Report. 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