{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T13:45:39Z","timestamp":1782740739912,"version":"3.54.5"},"reference-count":19,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Med."],"abstract":"\n Introduction<\/jats:title>\n \n The fullPIERS\n (The Preeclampsia Integrated Estimate of Risk)<\/jats:italic>\n model was developed and used in a prospective, multicenter study to identify women with preeclampsia at risk of developing complications within 7 days. This research aimed to elucidate the fullPIERS model and conduct its Turkish validation.\n <\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n A total of 214 women with singleton pregnancies complicated by preeclampsia at or before 40 weeks of gestation were retrospectively evaluated; 170 met the inclusion criteria and were included in the study. The diagnosis of preeclampsia was established in accordance with the diagnostic criteria outlined in the American College of Obstetricians and Gynecologists\n (ACOG)<\/jats:italic>\n Practice Bulletin. FullPIERS scores were calculated using the online calculator available on the University of British Columbia Faculty of Medicine website.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n There were statistically significant differences in gestational age at hospital admission and gestational age at delivery between patients who experienced maternal and\/or fetal adverse events and those who did not (\n p<\/jats:italic>\n &lt; 0.05). There was also a significant difference in birth weight in combined maternal\u2013fetal adverse event group and only maternal adverse event group (\n p<\/jats:italic>\n = 0.001 and\n p<\/jats:italic>\n &lt; 0.05, respectively). There were differences in systolic blood pressure, creatinine, and AST values between those who experienced adverse events in mother and baby and those who did not\n (p<\/jats:italic>\n &lt; 0.001,\n p<\/jats:italic>\n &lt; 0.001, and\n p<\/jats:italic>\n = 0.011, respectively). There were differences in systolic blood pressure, creatinine, AST, platelet count, proteinuria and oxygen saturation values between those who experienced only maternal adverse events and those who did not\n (p<\/jats:italic>\n &lt; 0.05,\n p<\/jats:italic>\n &lt; 0.001,\n p<\/jats:italic>\n = 0.009,\n p<\/jats:italic>\n &lt; 0.05,\n p<\/jats:italic>\n &lt; 0.05 and\n p<\/jats:italic>\n &lt; 0.016 respectively). There was a significant difference in the fullPIERS score between those who experienced maternal, fetal, or combined maternal\u2013fetal adverse events and those who did not (\n p<\/jats:italic>\n &lt; 0.001,\n p<\/jats:italic>\n = 0.002 and\n p<\/jats:italic>\n &lt; 0.001, respectively).\n <\/jats:p>\n <\/jats:sec>\n \n Discussion<\/jats:title>\n The fullPIERS model captures key pathophysiological features of severe preeclampsia and demonstrates robust risk discrimination in a Turkish cohort in maternal and\/or fetal adverse events, supporting its broader application in complication risk-oriented obstetric care.<\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fmed.2026.1847438","type":"journal-article","created":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T12:57:24Z","timestamp":1782737844000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The Turkish validation of the fullPIERS model to predict adverse maternal and fetal outcomes in preeclamptic pregnancies"],"prefix":"10.3389","volume":"13","author":[{"given":"Gokce Naz","family":"Kucukbas Ozonder","sequence":"first","affiliation":[{"name":"Perinatology Division, Obstetrics and Gynecology Department, Kocaeli City Hospital","place":["Kocaeli, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arzu","family":"Yavuz","sequence":"additional","affiliation":[{"name":"Obstetrics and Gynecology Department, Kocaeli City Hospital, University of Health Sciences","place":["Kocaeli, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emre","family":"Sertel","sequence":"additional","affiliation":[{"name":"Obstetrics and Gynecology Department, Derince Research and Training Hospital, University of Health Sciences","place":["Kocaeli, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. Seval","family":"Ozgu-Erdinc","sequence":"additional","affiliation":[{"name":"Perinatology Division, Obstetrics and Gynecology Department, Izmir City Hospital, University of Health Sciences","place":["\u0130zmir, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,6,29]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1080\/01443615.2022.2048810","article-title":"Preeclampsia: state of art and future perspectives. a special focus on possible preventions.","volume":"42","author":"Kahramanoglu","year":"2022","journal-title":"J Obstet Gynaecol."},{"key":"B2","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1007\/s00404-025-07931-w","article-title":"Prevalence of adolescent pregnancy and evaluation of pregnancy outcomes: a retrospective study.","volume":"311","author":"Eminov","year":"2025","journal-title":"Arch Gynecol Obstet."},{"key":"B3","first-page":"448","article-title":"Pr\u00e9vention de la pr\u00e9\u00e9clampsie et de ses complications.","volume":"79","author":"Allard","year":"2024","journal-title":"Rev Med Liege."},{"key":"B4","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/S0140-6736(10)61351-7","article-title":"Prediction of adverse maternal outcomes in pre-eclampsia: development and validation of the fullPIERS model.","volume":"377","author":"von Dadelszen","year":"2011","journal-title":"Lancet."},{"key":"B5","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1016\/j.jogc.2022.03.002","article-title":"Guideline No. 426: hypertensive disorders of pregnancy: diagnosis, prediction, prevention, and management.","volume":"44","author":"Magee","year":"2022","journal-title":"J Obstet Gynaecol Can."},{"key":"B6","doi-asserted-by":"publisher","first-page":"20480040261418970","DOI":"10.1177\/20480040261418970","article-title":"The approach to chest pain during pregnancy.","volume":"15","author":"Asbridge","year":"2026","journal-title":"JRSM Cardiovasc Dis."},{"key":"B7","doi-asserted-by":"publisher","first-page":"e66664","DOI":"10.7759\/cureus.66664","article-title":"Prediction of adverse maternal outcomes in preeclampsia using the FullPIERS (Preeclampsia Integrated Estimate of Risk) model in a tertiary care hospital of Eastern India.","volume":"16","author":"Burman","year":"2024","journal-title":"Cureus."},{"key":"B8","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1055\/a-2452-8220","article-title":"External validation of the fullPIERS risk prediction model in a U.S. Cohort of individuals with preeclampsia.","volume":"42","author":"Long","year":"2025","journal-title":"Am J Perinatol."},{"key":"B9","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.gofs.2020.01.002","article-title":"[External validation of FullPIERS model for prediction of adverse outcomes among women with pre-eclampsia in French maternity of 2014 to 2018].","volume":"48","author":"Boutot","year":"2020","journal-title":"Gynecol Obstet Fertil Senol."},{"key":"B10","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.preghy.2018.01.004","article-title":"Temporal and external validation of the fullPIERS model for the prediction of adverse maternal outcomes in women with pre-eclampsia.","volume":"15","author":"Ukah","year":"2019","journal-title":"Pregnancy Hypertens."},{"key":"B11","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1161\/HYPERTENSIONAHA.117.10318","article-title":"Assessment of the fullPIERS risk prediction model in women with early-onset preeclampsia.","volume":"71","author":"Ukah","year":"2018","journal-title":"Hypertension."},{"key":"B12","doi-asserted-by":"publisher","first-page":"e-rbgo39","DOI":"10.61622\/rbgo\/2025rbgo39","article-title":"The accuracy of the fullPIERS model in predicting adverse maternal and perinatal outcomes: evidence from a tertiary care maternity unit.","volume":"47","author":"Gomes","year":"2025","journal-title":"Rev Bras Ginecol Obstet."},{"key":"B13","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.preghy.2020.11.013","article-title":"Validation of the fullPIERS model for prediction of adverse outcomes in preeclampsia at a referral center.","volume":"23","author":"Guida","year":"2021","journal-title":"Pregnancy Hypertens."},{"key":"B14","doi-asserted-by":"publisher","first-page":"1876","DOI":"10.1007\/s10995-024-03999-z","article-title":"Systematic review of complications following pre-eclampsia.","volume":"28","author":"Montgomery","year":"2024","journal-title":"Matern Child Health J."},{"key":"B15","doi-asserted-by":"publisher","first-page":"23035","DOI":"10.3390\/ijms160923035","article-title":"Early pregnancy biomarkers in pre-eclampsia: a systematic review and meta-analysis.","volume":"16","author":"Wu","year":"2015","journal-title":"Int J Mol Sci."},{"key":"B16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3310\/hta21180","article-title":"Development and validation of prediction models for risks of complications in early-onset pre-eclampsia (PREP): a prospective cohort study.","volume":"21","author":"Thangaratinam","year":"2017","journal-title":"Health Technol Assess."},{"key":"B17","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1002\/uog.23640","article-title":"Stratification of pregnancy care based on risk of pre-eclampsia derived from biophysical and biochemical markers at 19-24 weeks\u2019 gestation.","volume":"58","author":"Litwinska","year":"2021","journal-title":"Ultrasound Obstet Gynecol."},{"key":"B18","doi-asserted-by":"publisher","first-page":"656","DOI":"10.1002\/ijgo.70044","article-title":"A risk scoring model for predicting adverse maternal outcomes in pregnancy with pre-eclampsia.","volume":"170","author":"Suksai","year":"2025","journal-title":"Int J Gynaecol Obstet."},{"key":"B19","doi-asserted-by":"publisher","first-page":"e1004509","DOI":"10.1371\/journal.pmed.1004509","article-title":"Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: a multicountry prospective observational study.","volume":"22","author":"Yang","year":"2025","journal-title":"PLoS Med."}],"container-title":["Frontiers in Medicine"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fmed.2026.1847438\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T12:57:24Z","timestamp":1782737844000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fmed.2026.1847438\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"references-count":19,"alternative-id":["10.3389\/fmed.2026.1847438"],"URL":"https:\/\/doi.org\/10.3389\/fmed.2026.1847438","relation":{},"ISSN":["2296-858X"],"issn-type":[{"value":"2296-858X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]},"article-number":"1847438"}}