{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T07:31:41Z","timestamp":1766820701401,"version":"build-2065373602"},"reference-count":48,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biology"],"abstract":"<jats:p>Pre-eclampsia (PE) is a pregnancy-related disease, causing significant threats to both mothers and babies. Numerous studies have identified the association between PE and renal dysfunction. However, in clinical practice, kidney problems in pregnant women are often overlooked due to physiologic adaptations during pregnancy, including renal hyperfiltration. Recent studies have reported serum creatinine (SCr) level distribution based on gestational age (GA) and demonstrated that deviations from the expected patterns can predict adverse pregnancy outcomes, including PE. This study aimed to establish a PE prediction model using expert knowledge and by considering renal physiologic adaptation during pregnancy. This retrospective study included pregnant women who delivered at the Wonju Severance Christian Hospital. Input variables, such as age, gestational weeks, chronic diseases, and SCr levels, were used to establish the PE prediction model. By integrating SCr, GA, GA-specific SCr distribution, and quartile groups of GA-specific SCr (GAQ) were made. To provide generalized performance, a random sampling method was used. As a result, GAQ improved the predictive performance for any cases of PE and triple cases, including PE, preterm birth, and fetal growth restriction. We propose a prediction model for PE consolidating readily available clinical blood test information and pregnancy-related renal physiologic adaptations.<\/jats:p>","DOI":"10.3390\/biology12060816","type":"journal-article","created":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T02:57:47Z","timestamp":1685933867000},"page":"816","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Prediction Model for Pre-Eclampsia Using Gestational-Age-Specific Serum Creatinine Distribution"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7104-8146","authenticated-orcid":false,"given":"Jieun","family":"Kang","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8666-7479","authenticated-orcid":false,"given":"Sangwon","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0706-167X","authenticated-orcid":false,"given":"Taesic","family":"Lee","sequence":"additional","affiliation":[{"name":"Division of Data-Mining and Computational Biology, Institute of Global Health Care and Development, Wonju 26426, Republic of Korea"},{"name":"Department of Family Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kwangjin","family":"Ahn","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong Min","family":"Seo","sequence":"additional","affiliation":[{"name":"Department of Medical Information, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seong Jin","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2879-7870","authenticated-orcid":false,"given":"Young","family":"Uh","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,4]]},"reference":[{"key":"ref_1","unstructured":"(2019). 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