Associations Between Late-Onset Preeclampsia and the Use of Calcium-Based Antacids and Proton Pump Inhibitors During Pregnancy: A Prospective Cohort Study

References

• Abalos E, Cuesta C, Grosso AL, Chou D, Say L. Global and regional estimates of preeclampsia and eclampsia: a systematic review. Eur J Obstet Gynecol Reprod Biol. 2013;170(1):1–7. doi:10.1016/j.ejogrb.2013.05.005
   PubMed Web of Science ®Google Scholar
• Brown MA, Magee LA, Kenny LC, et al. Hypertensive disorders of pregnancy: ISSHP classification, diagnosis & management recommendations for international practice. Hypertension. 2018;72:24–43. doi:10.1161/HYPERTENSIONAHA.117.10803
   PubMed Web of Science ®Google Scholar
• Hutcheon JA, Lisonkova S, Joseph KS. Epidemiology of pre-eclampsia and the other hypertensive disorders of pregnancy. Best Pract Res Clin Obstet Gynaecol. 2011;25(4):391–403. doi:10.1016/j.bpobgyn.2011.01.006
   PubMed Web of Science ®Google Scholar
• Lisonkova S, Joseph KS. Incidence of preeclampsia: risk factors and outcomes associated with early- versus late-onset disease. Am J Obstet Gynecol. 2013;209(6):544.e1–544.e12. doi:10.1016/j.ajog.2013.08.019
   PubMed Web of Science ®Google Scholar
• Steegers EAP, von Dadelszen P, Duvekot JJ, Pijnenborg R. Pre-eclampsia. Lancet. 2010;376(9741):631–644. doi:10.1016/S0140-6736(10)60279-6
   PubMed Web of Science ®Google Scholar
• Chappell LC, Cluver CA, Kingdom J, Tong S. Pre-eclampsia. Lancet. 2021;398(10297):341–354. doi:10.1016/S0140-6736(20)32335-7
   PubMed Web of Science ®Google Scholar
• Von Dadelszen P, Magee LA, Roberts JM. Subclassification of preeclampsia. Hypertens Pregnancy. 2003;22(2):143–148. doi:10.1081/PRG-120021060
   PubMed Web of Science ®Google Scholar
• Tranquilli AL, Brown MA, Zeeman GG, Dekker G, Sibai BM. The definition of severe and early-onset preeclampsia. Statements from the International Society for the Study of Hypertension in Pregnancy (ISSHP). Pregnancy Hypertens. 2013;3(1):44–47. doi:10.1016/j.preghy.2012.11.001
   PubMed Web of Science ®Google Scholar
• Hofmeyr GJ, Lawrie TA, Atallah ÁN, Torloni MR. Calcium supplementation during pregnancy for preventing hypertensive disorders and related problems. Cochrane Database Syst Rev. 2018;10:CD001059. doi:10.1002/14651858.CD001059.pub5
   PubMed Web of Science ®Google Scholar
• Ceulemans M, Van Calsteren K, Allegaert K, Foulon V. Health products’ and substance use among pregnant women visiting a tertiary hospital in Belgium: a cross-sectional study. Pharmacoepidemiol Drug Saf. 2019;28(9):1231–1238. doi:10.1002/pds.4862
   Web of Science ®Google Scholar
• Meyer A, Fermaut M, Drouin J, Carbonnel F, Weill A. Drug use for gastrointestinal symptoms during pregnancy: a French nationwide study 2010–2018. PLoS One. 2021;16(1):e0245854. doi:10.1371/journal.pone.0245854
   Web of Science ®Google Scholar
• Onda K, Tong S, Beard S, et al. Proton pump inhibitors decrease soluble fms-like tyrosine kinase-1 and soluble endoglin secretion, decrease hypertension, and rescue endothelial dysfunction. Hypertension. 2017;69(3):457–468. doi:10.1161/HYPERTENSIONAHA.116.08408
   PubMed Web of Science ®Google Scholar
• Saleh L, Samantar R, Garrelds IM, van den Meiracker AH, Visser W, Danser AHJ. Low soluble fms-like tyrosine kinase-1, endoglin, and endothelin-1 levels in women with confirmed or suspected preeclampsia using proton pump inhibitors. Hypertension. 2017;70(3):594–600. doi:10.1161/HYPERTENSIONAHA.117.09741
   PubMed Web of Science ®Google Scholar
• Hastie R, Bergman L, Cluver CA, et al. Proton pump inhibitors and preeclampsia risk among 157 720 women. Hypertension. 2019;73(5):1097–1103. doi:10.1161/HYPERTENSIONAHA.118.12547
   PubMed Web of Science ®Google Scholar
• Bello NA, Huang Y, Syeda SK, Wright JD, D’Alton ME, Friedman AM. Receipt of proton-pump inhibitors during pregnancy and risk for preeclampsia. Am J Perinatol. 2021;38(14):1519–1525. doi:10.1055/s-0040-1713864
   Web of Science ®Google Scholar
• Choi A, Noh Y, Park SH, Choe SA, Shin JY. Exploration of proton pump inhibitors use during pregnancy and preeclampsia. JAMA Netw Open. 2021;4(9):e2124339. doi:10.1001/jamanetworkopen.2021.24339
   Web of Science ®Google Scholar
• Van Gelder MMHJ, Bretveld RW, Roukema J, et al. Rationale and design of the PRegnancy and Infant DEvelopment (PRIDE) Study. Paediatr Perinat Epidemiol. 2013;27(1):34–43. doi:10.1111/ppe.12023
   Web of Science ®Google Scholar
• Van Gelder MMHJ, Merkus PJFM, van Drongelen J, Swarts JW, van de Belt TH, Roeleveld N. The PRIDE Study: evaluation of online methods of data collection. Paediatr Perinat Epidemiol. 2020;34(5):484–494. doi:10.1111/ppe.12618
   Web of Science ®Google Scholar
• Vorstenbosch S, te Winkel B, van Gelder MMHJ, Kant A, Roeleveld N, van Puijenbroek E. AIM and design of pREGnant, the Dutch Pregnancy Drug Register. Drug Saf. 2019;42(1):1–12. doi:10.1007/s40264-018-0722-7
   Web of Science ®Google Scholar
• Tomson T, Battino D, Bonizzoni E, et al. Comparative risk of major congenital malformations with eight different antiepileptic drugs: a prospective cohort study of the EURAP registry. Lancet Neurol. 2018;17(6):530–538. doi:10.1016/S1474-4422(18)30107-8
   PubMed Web of Science ®Google Scholar
• De Boer J, Zeeman K, Verhoeven C. KNOV-standaard: hypertensieve aandoeningen tijdens de zwangerschap, bevalling en kwaamperiode [homepage on the internet]. Utrecht: Koninklijke Nederlandse Organisatie van Verloskundigen; 2011. Available from: https://assets.knov.nl/p/557056/none/PDF%20Vakkennis/KNOV_Standaard_Hypertensie_versie2012.pdf. Accessed September 7, 2022.
   Google Scholar
• Beekers P, Jamaladin H, van Drongelen J, Roeleveld N, van Gelder MMHJ. Data from web-based questionnaires were valid for gestational diabetes and preeclampsia, but not gestational hypertension. J Clin Epidemiol. 2020;125:84–90. doi:10.1016/j.jclinepi.2020.05.023
   Web of Science ®Google Scholar
• ATC/DDD Index 2022 [homepage on the Internet]. Oslo: WHO Collaborating Centre for Drug Statistics Methodology; 2021. Available from: https://www.whocc.no/atc_ddd_index/. Accessed September 7, 2022.
   Google Scholar
• Van Gelder MMHJ, Vorstenbosch S, te Winkel B, van Puijenbroek EP, Roeleveld N. Using web-based questionnaires to assess medication use during pregnancy: a validation study in 2 prospectively enrolled cohorts. Am J Epidemiol. 2018;187(2):326–336. doi:10.1093/aje/kwx239
   Web of Science ®Google Scholar
• Wood ME, Lupattelli A, Palmsten K, et al. Longitudinal methods for modeling exposures in pharmacoepidemiologic studies in pregnancy. Epidemiol Rev. 2021;43(1):130–146. doi:10.1093/epirev/mxab002
   Web of Science ®Google Scholar
• Genolini C, Falissard B. KmL: a package to cluster longitudinal data. Comput Methods Programs Biomed. 2011;104(3):e112–e121. doi:10.1016/j.cmpb.2011.05.008
   PubMed Web of Science ®Google Scholar
• Genolini C, Alacoque X, Sentenac M, Arnaud C. Kml and kml3d: r packages to cluster longitudinal data. J Stat Softw. 2015;65(4):1–34. doi:10.18637/jss.v065.i04
   Web of Science ®Google Scholar
• Palmsten K, Rolland M, Hebert MF, et al. Patterns of prednisone use during pregnancy in women with rheumatoid arthritis: daily and cumulative dose. Pharmacoepidemiol Drug Saf. 2018;27(4):430–438. doi:10.1002/pds.4410
   PubMed Web of Science ®Google Scholar
• Matok I, Azoulay L, Yin H, Suissa S. Immortal time bias in observational studies of drug effects in pregnancy. Birth Defects Res a Clin Mol Teratol. 2014;100(9):658–662. doi:10.1002/bdra.23271
   PubMed Web of Science ®Google Scholar
• Platt RW, Hutcheon JA, Suissa S. Immortal time bias in epidemiology. Curr Epidemiol Rep. 2019;6:23–27. doi:10.1007/s40471-019-0180-5
   Google Scholar
• Palmsten K, Bandoli G, Watkins J, Vazquez-Benitez G, Gilmer TP, Chambers CD. Oral corticosteroids and risk of preterm birth in the California medicaid program. J Allergy Clin Immunol Pract. 2021;9(1):375–384.e5. doi:10.1016/j.jaip.2020.07.047
   Web of Science ®Google Scholar
• Textor J, Hardt J, Knüppel S. DAGitty: a graphical tool for analyzing causal diagrams. Epidemiology. 2011;22(5):745. doi:10.1097/EDE.0b013e318225c2be
   PubMed Web of Science ®Google Scholar
• Bandoli G, Palmsten K, Flores KF, Chambers CD. Constructing causal diagrams for common perinatal outcomes: benefits, limitations and motivating examples with maternal antidepressant use in pregnancy. Paediatr Perinat Epidemiol. 2016;30(5):521–528. doi:10.1111/ppe.12302
   Web of Science ®Google Scholar
• Zou G. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–706. doi:10.1093/aje/kwh090
   PubMed Web of Science ®Google Scholar
• Lin DY, Wei LJ. The robust inference for the Cox proportional hazards model. J Am Stat Assoc. 1989;84(408):1074–1078. doi:10.1080/01621459.1989.10478874
   Web of Science ®Google Scholar
• Zou GY, Donner A. Extension of the modified Poisson regression model to prospective studies with correlated binary data. Stat Methods Med Res. 2013;22(6):661–670. doi:10.1177/0962280211427759
   PubMed Web of Science ®Google Scholar
• Howe CJ, Cole SR, Lau B, Napravnik S, Eron JJ Jr. Selection bias due to loss to follow up in cohort studies. Epidemiology. 2016;27(1):91–97. doi:10.1097/EDE.0000000000000409
   PubMed Web of Science ®Google Scholar
• Syngelaki A, Bredaki FE, Vaikousi E, Maiz N, Nicolaides KH. Body mass index at 11–13 weeks’ gestation and pregnancy complications. Fetal Diagn Ther. 2011;30(4):250–265. doi:10.1159/000328083
   PubMed Web of Science ®Google Scholar
• Meertens LJE, Scheepers HCJ, van Kuijk SMJ, et al. External validation and clinical usefulness of first trimester prediction models for the risk of preeclampsia: a prospective cohort study. Fetal Diagn Ther. 2019;45(6):381–393. doi:10.1159/000490385
   Web of Science ®Google Scholar
• Chen Q, Zhang Y, Tong M, et al. Pre-treatment with calcium prevents endothelial cell activation induced by multiple activators, necrotic trophoblastic debris or IL-6 or preeclamptic sera: possible relevance to the pathogenesis of preeclampsia. Placenta. 2013;34(12):1196–1201. doi:10.1016/j.placenta.2013.09.014
   PubMed Web of Science ®Google Scholar
• Sukonpan K, Phupong V. Serum calcium and serum magnesium in normal and preeclamptic pregnancy. Arch Gynecol Obstet. 2005;273:12–16. doi:10.1007/s00404-004-0672-4
   PubMedGoogle Scholar
• Jain S, Sharma P, Kulshreshtha S, Mohan G, Singh S. The role of calcium, magnesium, and zinc in pre-eclampsia. Biol Trace Elem Res. 2010;133:162–170. doi:10.1007/s12011-009-8423-9
   PubMed Web of Science ®Google Scholar
• Gasnier R, Valério EG, Vettorazzi J, Barros EG, Martins-Costa SH, Ramos JGL. Calciuria and preeclampsia: a case-control study. J Obstet Gynaecol Res. 2012;38(4):674–680. doi:10.1111/j.1447-0756.2011.01774.x
   Web of Science ®Google Scholar
• Mackillop L. Pre-eclampsia: reducing the risk with calcium supplements. BMJ Clin Evid. 2015;2015:1402.
   Google Scholar
• Santorelli G, Whitelaw D, Farrar D, West J, Lawlor DA. Associations of maternal vitamin D, PTH and calcium with hypertensive disorders of pregnancy and associated adverse perinatal outcomes: findings from the Born in Bradford cohort study. Sci Rep. 2019;9:1205. doi:10.1038/s41598-018-37600-9
   Web of Science ®Google Scholar
• Forde H, Crowley RK, McKenna MJ, et al. No effect of calcium and vitamin D intake on maternal blood pressure in a healthy pregnant population. Eur J Obstet Gynecol Reprod Biol. 2021;264:8–14. doi:10.1016/j.ejogrb.2021.07.005
   Web of Science ®Google Scholar
• Xu R, Luo Y, Chambers C. Assessing the effect of vaccine on spontaneous abortion using time-dependent covariates Cox models. Pharmacoepidemiol Drug Saf. 2012;21(8):844–850. doi:10.1002/pds.3301
   PubMed Web of Science ®Google Scholar
• Daniel S, Koren G, Lunenfeld E, Levy A. Immortal time bias in drug safety cohort studies: spontaneous abortion following nonsteroidal antiinflammatory drug exposure. Am J Obstet Gynecol. 2015;212(3):307.e1–307.e6. doi:10.1016/j.ajog.2014.09.028
   Web of Science ®Google Scholar
• Verlohren S, Herraiz I, Lapaire O, et al. The sFlt-1/PlGF ratio in different types of hypertensive pregnancy disorders and its prognostic potential in preeclamptic patients. Am J Obstet Gynecol. 2012;206(1):58.e1–58.e8. doi:10.1016/j.ajog.2011.07.037
   Web of Science ®Google Scholar
• World Health Organization. Guideline: calcium supplementation in pregnant women [homepage on the Internet]. Geneva: World Health Organization; 2013. Available from: http://apps.who.int/iris/bitstream/handle/10665/85120/9789241505376_eng.pdf. Accessed September 7, 2022.
   Google Scholar
• Hussain S, Singh A, Antony B, et al. Proton pump inhibitors use and risk of preeclampsia: a meta-analysis. J Clin Med. 2022;11(16):4675. doi:10.3390/jcm11164675
   Web of Science ®Google Scholar
• Taneja G, Thanikachalam PV, Rajput SK. Dose and time-dependent toxicological impact of pantoprazole on vascular endothelium and renal tissue. Toxicol Lett. 2020;333:97–104. doi:10.1016/j.toxlet.2020.07.031
   Web of Science ®Google Scholar
• Abdel-Kawy HS. Chronic pantoprazole administration and ischemia-Reperfusion arrhythmias in vivo in rats-antiarrhythmic or arrhythmogenic? Cardiovasc Ther. 2015;33(2):27–34. doi:10.1111/1755-5922.12107
   Web of Science ®Google Scholar
• Schillinger W, Teucher N, Sossalla S, et al. Negative inotropy of the gastric proton pump inhibitor pantoprazole in myocardium from humans and rabbits: evaluation of mechanisms. Circulation. 2007;116(1):57–66. doi:10.1161/CIRCULATIONAHA.106.666008
   Web of Science ®Google Scholar
• Sibai BM, Stella CL. Diagnosis and management of atypical preeclampsia-eclampsia. Am J Obstet Gynecol. 2009;200(5):481.e1–481.e7. doi:10.1016/j.ajog.2008.07.048
   PubMed Web of Science ®Google Scholar
• Andrade SE, Bérard A, Nordeng HME, Wood ME, van Gelder MMHJ, Toh S. Administrative claims data versus augmented pregnancy data for the study of pharmaceutical treatments in pregnancy. Curr Epidemiol Rep. 2017;4:106–116. doi:10.1007/s40471-017-0104-1
   Google Scholar
• Nohr EA, Frydenberg M, Henriksen TB, Olsen J. Does low participation in cohort studies induce bias? Epidemiology. 2006;17(4):413–418. doi:10.1097/01.ede.0000220549.14177.60
   PubMed Web of Science ®Google Scholar
• Nilsen RM, Vollset SE, Gjessing HK, et al. Self-selection and bias in a large prospective pregnancy cohort in Norway. Paediatr Perinat Epidemiol. 2009;23(6):597–608. doi:10.1111/j.1365-3016.2009.01062.x
   PubMed Web of Science ®Google Scholar
• Hatch EE, Hahn KA, Wise LA, et al. Evaluation of selection bias in an internet-based study of pregnancy planners. Epidemiology. 2016;27(1):98–104. doi:10.1097/EDE.0000000000000400
   PubMed Web of Science ®Google Scholar
• Biele G, Gustavson K, Czajkowski NO, et al. Bias from self selection and loss to follow-up in prospective cohort studies. Eur J Epidemiol. 2019;34:927–938. doi:10.1007/s10654-019-00550-1
   PubMed Web of Science ®Google Scholar
• Thélin CS, Richter JE. Review article: the management of heartburn during pregnancy and lactation. Aliment Pharmacol Ther. 2020;51(4):421–434. doi:10.1111/apt.15611
   Web of Science ®Google Scholar