Preeclampsia (PE) is characterized by the new onset of hypertension (HT) and proteinuria beyond the 20th week of gestation. We aimed to find the best predictor of PE and find out if it is different in women with or without HT. Consecutively attended pregnant women were recruited in the first trimester of pregnancy and followed-up. Laboratory and office and 24 h-ambulatory blood pressure (BP) data were collected. PE occurred in 6.25% of normotensives ( = 124). Both office mean BP and 24 h-systolic BP in the first trimester were higher in women with versus those without PE ( ≤ 0.001). In women with chronic hypertension (cHT), PE occurred in 55%; office SBP ( = 0.769) and 24 h-SBP ( = 0.589) were similar between those with and those without PE. Regarding biochemistry, in cHT, plasma urea and creatinine were higher in PE women than in those without cHT ( = 0.001 and = 0.004 for the differences in both parameters). These differences were not observed in normotensives. In normotensives, mean BP was the best predictor of PE [ROC curve = 0.91 (95%CI 0.82-0.99)], best cut-off = 80.3 mmHg. In cHT, plasma urea and creatinine were the best predictors of PE, with ROC curves of 0.94 (95%CI 0.84-1.00) and 0.93 (95%CI 0.83-1.00), respectively. In the first trimester of pregnancy, the strongest predictor of PE in normotensive women is office mean BP, while in cHT, renal parameters are the strongest predictors. Otherwise, office BP is non-inferior to 24 h ambulatory BP to predict PE.
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http://dx.doi.org/10.3390/jcm12020579 | DOI Listing |
J Echocardiogr
January 2025
Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, 1035 Dalgubeol-Daero, Dalseo-Gu, Daegu, 42601, Republic of Korea.
Background: With the growing number of high-risk pregnant women, echocardiography frequently reveals pericardial effusion (PE). However, the clinical implications of PE are unknown.
Method: We analyzed a cohort of 406 high-risk pregnant women who underwent echocardiography in the third trimester between November 2019 and December 2022.
BMC Pregnancy Childbirth
January 2025
Department of Gynecology and Obstetrics, Reina Sofía Hospital, Tudela, Spain.
Background: There is evidence that exercise may reduce the risk of gestational diabetes mellitus (GDM) and improve other obstetric outcomes in overweight or obese pregnant women. However, the available evidence is of low quality and inconclusive. The purpose of this study is to assess the effects of exercise, compared with usual care, in reducing GDM and other obstetric risks, in overweight and obese pregnant women.
View Article and Find Full Text PDFBMJ Open
January 2025
Center for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Introduction: Optimising the micronutrient status of women before and during reproduction confers benefits to them and their offspring. Antenatal multiple micronutrient supplements (MMS), given as a daily tablet with nutrients at ~1 recommended dietary allowance (RDA) or adequate intake (AI) reduces adverse birth outcomes. However, at this dosage, MMS may not fully address micronutrient deficiencies in settings with chronically inadequate diets and infection.
View Article and Find Full Text PDFZ Evid Fortbild Qual Gesundhwes
January 2025
Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany.
Background: Pregnant women and their families, especially those navigating chronic illness or challenging life situations, often seek information and counseling. The pregnancy period and the transition to parenthood can exacerbate these circumstances, leaving families particularly vulnerable. Addressing stressful situations becomes a hurdle in this context.
View Article and Find Full Text PDFInt J Obstet Anesth
December 2024
Department of Anesthesiology, 8700 Beverly Blvd #4209, Cedars-Sinai Medical Center, Los Angeles, CA 90064, United States. Electronic address:
Introduction: Over 90% of pregnant women and 76% expectant fathers search for pregnancy health information. We examined readability, accuracy and quality of answers to common obstetric anesthesia questions from the popular generative artificial intelligence (AI) chatbots ChatGPT and Bard.
Methods: Twenty questions for generative AI chatbots were derived from frequently asked questions based on professional society, hospital and consumer websites.
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