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dc.contributor.authorSubramanian, Anuradhaa
dc.contributor.authorAzcoaga-Lorenzo, Amaya
dc.contributor.authorAnand, Astha
dc.contributor.authorPhillips, Katherine
dc.contributor.authorLee, Siang Ing
dc.contributor.authorCockburn, Neil
dc.contributor.authorFagbamigbe, Adeniyi
dc.contributor.authorDamase-Michel, Christine
dc.contributor.authorYau, Christopher
dc.contributor.authorMcCowan, Colin
dc.contributor.authorO’Reilly, Dermot
dc.contributor.authorSantorelli, Gillian
dc.contributor.authorHope, Holly
dc.contributor.authorKennedy, Jonathan I.
dc.contributor.authorAbel, Kathryn M.
dc.contributor.authorEastwood, Kelly-Ann
dc.contributor.authorLocock, Louise
dc.contributor.authorBlack, Mairead
dc.contributor.authorLoane, Maria
dc.contributor.authorMoss, Ngawai
dc.contributor.authorPlachcinski, Rachel
dc.contributor.authorThangaratinam, Shakila
dc.contributor.authorBrophy, Sinead
dc.contributor.authorAgrawal, Utkarsh
dc.contributor.authorVowles, Zoe
dc.contributor.authorBrocklehurst, Peter
dc.contributor.authorDolk, Helen
dc.contributor.authorNelson-Piercy, Catherine
dc.contributor.authorNirantharakumar, Krishnarajah
dc.contributor.authorMuM-PreDiCT Group
dc.date.accessioned2023-01-17T16:30:06Z
dc.date.available2023-01-17T16:30:06Z
dc.date.issued2023-01-16
dc.identifier282975932
dc.identifier80ca0c96-e916-4adb-971f-c8af5bf330b8
dc.identifier85146353108
dc.identifier000916586600001
dc.identifier.citationSubramanian , A , Azcoaga-Lorenzo , A , Anand , A , Phillips , K , Lee , S I , Cockburn , N , Fagbamigbe , A , Damase-Michel , C , Yau , C , McCowan , C , O’Reilly , D , Santorelli , G , Hope , H , Kennedy , J I , Abel , K M , Eastwood , K-A , Locock , L , Black , M , Loane , M , Moss , N , Plachcinski , R , Thangaratinam , S , Brophy , S , Agrawal , U , Vowles , Z , Brocklehurst , P , Dolk , H , Nelson-Piercy , C , Nirantharakumar , K & MuM-PreDiCT Group 2023 , ' Polypharmacy during pregnancy and associated risk factors : a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019 ' , BMC Medicine , vol. 21 , 21 . https://doi.org/10.1186/s12916-022-02722-5en
dc.identifier.issn1741-7015
dc.identifier.otherORCID: /0000-0002-9466-833X/work/127065390
dc.identifier.otherORCID: /0000-0003-3307-878X/work/127066381
dc.identifier.urihttps://hdl.handle.net/10023/26763
dc.descriptionFunding: This work was funded by the Strategic Priority Fund “Tackling multimorbidity at scale” programme [grant number MR/W014432/1] delivered by the Medical Research Council and the National Institute for Health Research in partnership with the Economic and Social Research Council and in collaboration with the Engineering and Physical Sciences Research Council. BT was funded by the National Institute for Health Research (NIHR) West Midlands Applied Research Collaboration. AA, KP and SIL were funded as NIHR Academic Clinical Fellows.en
dc.description.abstractBackground The number of medications prescribed during pregnancy has increased over the past few decades. Few studies have described the prevalence of multiple medication use among pregnant women. This study aims to describe the overall prevalence over the last two decades among all pregnant women and those with multimorbidity and to identify risk factors for polypharmacy in pregnancy. Methods A retrospective cohort study was conducted between 2000 and 2019 using the Clinical Practice Research Datalink (CPRD) pregnancy register. Prescription records for 577 medication categories were obtained. Prevalence estimates for polypharmacy (ranging from 2+ to 11+ medications) were presented along with the medications commonly prescribed individually and in pairs during the first trimester and the entire pregnancy period. Logistic regression models were performed to identify risk factors for polypharmacy. Results During the first trimester (812,354 pregnancies), the prevalence of polypharmacy ranged from 24.6% (2+ medications) to 0.1% (11+ medications). During the entire pregnancy period (774,247 pregnancies), the prevalence ranged from 58.7 to 1.4%. Broad-spectrum penicillin (6.6%), compound analgesics (4.5%) and treatment of candidiasis (4.3%) were commonly prescribed. Pairs of medication prescribed to manage different long-term conditions commonly included selective beta 2 agonists or selective serotonin re-uptake inhibitors (SSRIs). Risk factors for being prescribed 2+ medications during the first trimester of pregnancy include being overweight or obese [aOR: 1.16 (1.14–1.18) and 1.55 (1.53–1.57)], belonging to an ethnic minority group [aOR: 2.40 (2.33–2.47), 1.71 (1.65–1.76), 1.41 (1.35–1.47) and 1.39 (1.30–1.49) among women from South Asian, Black, other and mixed ethnicities compared to white women] and smoking or previously smoking [aOR: 1.19 (1.18–1.20) and 1.05 (1.03–1.06)]. Higher and lower age, higher gravidity, increasing number of comorbidities and increasing level of deprivation were also associated with increased odds of polypharmacy. Conclusions The prevalence of polypharmacy during pregnancy has increased over the past two decades and is particularly high in younger and older women; women with high BMI, smokers and ex-smokers; and women with multimorbidity, higher gravidity and higher levels of deprivation. Well-conducted pharmaco-epidemiological research is needed to understand the effects of multiple medication use on the developing foetus.
dc.format.extent13
dc.format.extent1376818
dc.language.isoeng
dc.relation.ispartofBMC Medicineen
dc.subjectMultiple medicationsen
dc.subjectPolypharmacyen
dc.subjectMedicationsen
dc.subjectPrescriptionsen
dc.subjectPregnancyen
dc.subjectMultimorbidityen
dc.subjectMultiple long-term conditionsen
dc.subjectRG Gynecology and obstetricsen
dc.subjectRM Therapeutics. Pharmacologyen
dc.subjectDASen
dc.subjectMCCen
dc.subject.lccRGen
dc.subject.lccRMen
dc.titlePolypharmacy during pregnancy and associated risk factors : a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019en
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.identifier.doi10.1186/s12916-022-02722-5
dc.description.statusPeer revieweden


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