{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T17:00:54Z","timestamp":1785085254640,"version":"3.55.0"},"reference-count":21,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Biological Research For Nursing"],"abstract":"<jats:p>\n                    Gestational hypertension (GH) is commonly managed using blood pressure thresholds that may not fully reflect underlying biologic severity. Thrombocytopenia may identify higher-risk phenotypes within GH prior to overt clinical deterioration. To examine whether platelet-defined severity phenotypes are associated with adverse maternal outcomes among individuals with GH. A retrospective cohort study was conducted using electronic health record data from a large urban academic medical center between 2020 and 2024. The sample included pregnant individuals (\n                    <jats:italic toggle=\"yes\">n<\/jats:italic>\n                    = 300) aged 18\u201349 years diagnosed with GH (ICD-10 O13.x), excluding chronic hypertension, preeclampsia, HELLP syndrome, multiple gestation, or fetal anomalies. Participants were stratified by platelet count as thrombocytopenia (&lt;150 \u00d7 10\n                    <jats:sup>9<\/jats:sup>\n                    \/L) or normal (\u2265150 \u00d7 10\n                    <jats:sup>9<\/jats:sup>\n                    \/L). The primary outcome was maternal intensive care unit (ICU) admission during delivery hospitalization or the postpartum period. Secondary outcomes included magnesium sulfate administration, cesarean delivery, and preterm birth. Multivariable logistic regression evaluated predictors of ICU admission. Sensitivity analyses modeled platelet count as a continuous variable. Thrombocytopenia was present in 10.3% of the cohort. Blood pressure measures and unadjusted rates of ICU admission and secondary maternal outcomes did not differ significantly between platelet groups. However, thrombocytopenia independently predicted ICU admission after adjustment for demographic and clinical factors (aOR 3.89, 95% CI 1.19\u201312.70;\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    = .024). Platelet count demonstrated a dose-response relationship, with each 25 \u00d7 10\n                    <jats:sup>9<\/jats:sup>\n                    \/L increase associated with a 17% reduction in ICU admission odds (aOR 0.83, 95% CI 0.73\u20130.94;\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    = .005). Platelet-defined phenotypes identify a biologically vulnerable subgroup within GH independent of blood pressure.\n                  <\/jats:p>","DOI":"10.1177\/10998004261469851","type":"journal-article","created":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T03:54:03Z","timestamp":1784865243000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Hematologic Vulnerability in Gestational Hypertension: Platelet-Defined Severity Phenotypes and Maternal Outcomes"],"prefix":"10.1177","author":[{"given":"Sherri S.","family":"Lytle","sequence":"first","affiliation":[{"name":"Jackson Health System"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lara","family":"Slesnick","sequence":"additional","affiliation":[{"name":"Jackson Health System"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelande","family":"Ridore","sequence":"additional","affiliation":[{"name":"Jackson Health System"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joanne","family":"Ruggiero","sequence":"additional","affiliation":[{"name":"Jackson Health System"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sharmane","family":"Andrews","sequence":"additional","affiliation":[{"name":"Jackson Health System"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4859-7929","authenticated-orcid":false,"given":"Charles A.","family":"Downs","sequence":"additional","affiliation":[{"name":"Jackson Health System"},{"name":"University of Miami School of Nursing & Health Studies"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,7,23]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0000000000003891"},{"key":"e_1_3_4_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2019.02.010"},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clp.2004.06.008"},{"key":"e_1_3_4_5_1","doi-asserted-by":"crossref","unstructured":"Braunthal S. Brateanu A. (2019). Hypertension in pregnancy: Pathophysiology and treatment. SAGE Open Medicine 7 Article 2050312119843700. https:\/\/doi.org\/10.1177\/2050312119843700","DOI":"10.1177\/2050312119843700"},{"key":"e_1_3_4_6_1","doi-asserted-by":"publisher","DOI":"10.1161\/HYPERTENSIONAHA.117.10803"},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0000000000004824"},{"key":"e_1_3_4_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2024.07.015"},{"key":"e_1_3_4_9_1","unstructured":"Burwick R. M. (2024). Angiogenic biomarkers in preeclampsia. Seminars in Perinatology 48(2) Article 151881. https:\/\/doi.org\/10.1016\/j.semperi.2023.151881"},{"key":"e_1_3_4_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/jhm.1929"},{"key":"e_1_3_4_11_1","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm7117a1"},{"key":"e_1_3_4_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2018.07.002"},{"key":"e_1_3_4_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ccl.2020.09.005"},{"key":"e_1_3_4_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/nur.20316"},{"key":"e_1_3_4_15_1","doi-asserted-by":"publisher","DOI":"10.3389\/fcvm.2024.1411424"},{"key":"e_1_3_4_16_1","doi-asserted-by":"crossref","unstructured":"Radparvar A. A. Vani K. Fiori K.Jr. Gupta S. Chavez P. Fisher M. Sharma G. Wolfe D. Bortnick A. E. (2024). Hypertensive disorders of pregnancy: Innovative management strategies. Journal of the American College of Cardiology: Advances 3(3) Article 100864. https:\/\/doi.org\/10.1016\/j.jacadv.2024.100864","DOI":"10.1016\/j.jacadv.2024.100864"},{"issue":"5","key":"e_1_3_4_17_1","first-page":"e1","article-title":"ACOG clinical practice update: Biomarker prediction of preeclampsia with severe features","volume":"143","author":"Raghuraman N.","year":"2024","unstructured":"Raghuraman N., Pettker C. M., Simhan H. N., Shields A. D., Gandhi M. (2024). ACOG clinical practice update: Biomarker prediction of preeclampsia with severe features. Obstetrics & Gynecology, 143(5), e1\u2013e6. https:\/\/doi.org\/10.1097\/AOG.0000000000005576","journal-title":"Obstetrics & Gynecology"},{"key":"e_1_3_4_18_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCRESAHA.118.313276"},{"key":"e_1_3_4_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.placenta.2008.11.009"},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000803"},{"key":"e_1_3_4_21_1","doi-asserted-by":"crossref","unstructured":"Walle M. Azagew A. W. Kassie G. T. Asrie F. Getaneh Z. (2022). Preeclampsia has an association with both platelet count and mean platelet volume: A systematic review and meta-analysis. PLoS One 17(9) Article e0274398. https:\/\/doi.org\/10.1371\/journal.pone.0274398","DOI":"10.1371\/journal.pone.0274398"},{"key":"e_1_3_4_22_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1414838"}],"container-title":["Biological Research For Nursing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10998004261469851","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/10998004261469851","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/10998004261469851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T16:49:59Z","timestamp":1785084599000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/10998004261469851"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,23]]},"references-count":21,"alternative-id":["10.1177\/10998004261469851"],"URL":"https:\/\/doi.org\/10.1177\/10998004261469851","relation":{},"ISSN":["1099-8004","1552-4175"],"issn-type":[{"value":"1099-8004","type":"print"},{"value":"1552-4175","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,23]]},"article-number":"10998004261469851"}}