{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T08:10:14Z","timestamp":1774512614778,"version":"3.50.1"},"reference-count":22,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T00:00:00Z","timestamp":1774483200000},"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":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Preeclampsia is a major cause of global maternal morbidity and mortality. This study aims to determine whether readily available and inexpensive biomarkers, serum uric acid (UA), and lactate dehydrogenase (LDH), show a significant association with severe maternal morbidity in established preeclampsia.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>In this retrospective Case-Control study (2017-2022), 200 singleton pregnancies with ACOG-defined preeclampsia and 200 age and gestational age-comparable healthy controls delivered at a tertiary center were analyzed. UA and LDH were serially measured (minimum, average, maximum). Maternal morbidities (acute kidney injury, pulmonary oedema, neurological seizures, vision loss) were adjudicated using KDIGO, Berlin and ACOG criteria.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Exclusions<\/jats:title>\n                    <jats:p>HELLP syndrome, chronic hypertension, diabetes, renal\/liver\/cardiac disease, systemic infection. Multivariable logistic regression adjusted for age, BMI, parity, and mean systolic BP.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Mean UA (5.8 \u00b1 1.3 vs. 4.4 \u00b1 1.1 mg\/dL) and LDH (410.7 \u00b1 194.0 vs. 267.2 \u00b1 92.0 IU\/L) were higher in preeclampsia (\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.001). BMI was also higher in the preeclampsia group (29.5 \u00b1 4.2 vs. 26.1 \u00b1 3.8 kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      ,\n                      <jats:italic>p<\/jats:italic>\n                      &amp;lt; 0.001). UA independently predicted acute kidney injury (aOR 3.21, 95 % CI 2.50\u20134.12) at 6.3 mg\/dL (AUC 0.924, 97.8 % NPV). UA \u2265 8.0 mg\/dL was 100 % sensitive for seizures; UA \u2265 6.1 mg\/dL for vision loss (90.9 % sensitivity). Additionally, an average LDH level \u2265 516.4 IU\/L showed high utility for ruling out pulmonary edema (99.4% NPV). LDH did not retain independent predictive significance for most outcomes in multivariable modeling. No preeclampsia-related deaths occurred.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In a Middle Eastern cohort, UA is an inexpensive, widely available marker that is significantly associated with severe maternal morbidity in established preeclampsia, whereas LDH, while reflecting disease severity, did not add independent predictive value for most outcomes after adjustment. Prospective multicentre validation is required.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fmed.2026.1750426","type":"journal-article","created":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T06:36:37Z","timestamp":1774506997000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Predictive value of uric acid and lactate dehydrogenase for maternal morbidity in preeclampsia: a retrospective case-control study"],"prefix":"10.3389","volume":"13","author":[{"given":"\u00c7a\u011fri Kutlug\u00fcn","family":"Emral","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology, Sanliurfa Training and Research Hospital","place":["Sanliurfa, T\u00fcrkiye"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emre Sinan","family":"G\u00fcng\u00f6r","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Istanbul Education and Research Hospital","place":["Istanbul, T\u00fcrkiye"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yusuf Ziya","family":"Kizildemir","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Sanliurfa Training and Research Hospital","place":["Sanliurfa, T\u00fcrkiye"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,3,26]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ejogrb.2013.05.005","article-title":"Global and regional estimates of preeclampsia and eclampsia: a systematic review","volume":"170","author":"Abalos","year":"2013","journal-title":"Eur J Obstet Gynecol Reprod Biol."},{"key":"B2","doi-asserted-by":"publisher","first-page":"2576","DOI":"10.1186\/s12889-025-23814-w","article-title":"Global, regional, and national burden of maternal disorders, 1990\u20132021: a systematic analysis from the global burden of disease study 2021","volume":"25","author":"Huang","year":"2025","journal-title":"BMC Public Health."},{"key":"B3","doi-asserted-by":"publisher","first-page":"i1753","DOI":"10.1136\/bmj.i1753","article-title":"High Risk of Pre-eclampsia Identification Group. 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