Objective: To build a consistent and valid preeclampsia diagnosis index (IDP) for its Spanish acronyms.
Patients And Method: The study was done in a Gyneco-Obstetrics Hospital and a Family Medicine Unit from March 2000 to February 2001. Fifty items were chosen from the literature, with a design to validate diagnostic tests, which were assessed by family doctors and gyneco-obstetricians in regard to their appearance and content validity. Concurrent criterion validity. Golden standard: Two gyneco-obstetricians diagnosed pre-eclampsia (hypertension and proteinuria). Simultaneously a family doctor (in an independent and blinded way) questioned, examined and recorded laboratory data of 219 preeclamptic patients and 251 non preeclamptic patients.
Results: Preeclampsia diagnosis index is an additive index with 21 clinical and paraclinical parameters weighted according to their individual diagnostic capacity. It has two parts: The first one with 82% (95%CI 80-84) sensitivity; 93% (95%CI 91-95) specificity; the second one with 86% (95%CI 83-89) sensitivity; 75% (95%CI 65-85) specificity.
Conclusions: Preeclampsia diagnosis index is easily applied and has immediate results, which makes easier the physician's decisions.
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Heliyon
November 2024
Republic of Türkiye Ministry of Health, Basaksehir Cam and Sakura City Hospital, Department of Obstetrics and Gynecology, Istanbul, Türkiye.
Objective: The aim of this study was to investigate the correlation between plateletcrit (PCT) and stages of hypertensive disease of pregnancy by comparing values in groups with healthy pregnancies, gestational hypertension [GHT], preeclampsia with proteinuria [PE + P] and severe preeclampsia with proteinuria [sPE + P]. The secondary aim was to investigate how proteinuria affects PCT values in these patients.
Materials And Methods: This was a retrospective cohort study.
BMC Pregnancy Childbirth
January 2025
Collection Biologique de L'Hôpital de La Mère Et de L'Enfant CB-HME (Mother and Child Biobank), University Hospital Center, 8 Avenue Dominique Larrey, Limoges, France.
Background: Maternal agonistic autoantibodies against the angiotensin II type 1 receptor (AT1-AAs) have been implicated in the pathophysiology of preeclampsia, but their presence in their offsprings and their possible neonatal effects have not been specifically explored. This prospective study aimed to evaluate the presence of AT1-AAs and their potential clinical effects in neonates of AT1-AAs positive mothers.
Methods: Women with preeclampsia and their neonates were included.
J Obstet Gynaecol Can
December 2024
Department of Medicine, McGill University Health Centre, Montreal, Qc, Canada; Centre for Translational Biology, Research Institute of the McGill University Health Centre, Montreal, Qc, Canada.
Prompt diagnosis of preeclampsia is key to ensure appropriate management and reduce associated adverse outcomes. Placental growth factor (PlGF)-based biomarkers have been shown to be safe and effective diagnostic tools for preterm preeclampsia, and their use is recommended by most recent Canadian guidelines. The present report summarizes an expert panel discussion that led to the development of a proposed utilization algorithm for PlGF-based diagnostic testing for suspected preeclampsia in Québec.
View Article and Find Full Text PDFObstet Gynecol
January 2025
Rutgers New Jersey Medical School, Newark, New Jersey; the Department of Obstetrics and Gynecology, College of Physicians and Surgeons, Columbia University, New York, New York; and the Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, California.
Objective: To assess trends in risk for obstetric venous thromboembolism (VTE).
Methods: This retrospective cohort study analyzed data from the 2008-2019 Merative MarketScan Commercial Claims and Encounters and Medicaid Multi-State databases. Women aged 15-54 years with a delivery hospitalization and health care enrollment from 1 year before pregnancy to 60 days after delivery were identified.
Arterioscler Thromb Vasc Biol
January 2025
Department of Applied Mathematics, Department of Biology, Cheriton School of Computer Science, and School of Pharmacology, University of Waterloo, ON, Canada.
Preeclampsia is a multisystem hypertensive disorder that manifests itself after 20 weeks of pregnancy, along with proteinuria. The pathophysiology of preeclampsia is incompletely understood. Artificial intelligence, especially machine learning with its capability to identify patterns in complex data, has the potential to revolutionize preeclampsia research.
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