Systemic lupus erythematosus (SLE) is a multisystem disease. This study was undertaken to assess the outcome of pregnancies in patients with inactive SLE. We prospectively studied 20 female patients with diagnosis of stable class IV Lupus nephritis followed up at King Abdul Aziz University Hospital, in Jeddah, Saudi Arabia between 1998 and 2008. Before each pregnancy all the patients had their blood pressure, serum creatinine, creatinine clearance, serology for SLE and 24-hour urine protein excretion measured and then repeated at monthly intervals during the pregnancy. Statistical analysis was performed using the Wilcoxon signed-rank test. Despite having negative antinuclear antibody (ANA) significant complications were observed during pregnancy. The daily proteinuria during 34-36 weeks' gestation was significantly higher (P< 0.05) than during 32 weeks. Two patients had abortions one stillbirth and 2 required termination of the pregnancy; one due to severe hypertension, and other due to renal impairment. One patient developed HELLP (hemolysis, elevated liver enzymes, low platelets) syndrome. 14 patients had a successful pregnancy, including 4 requiring a cesarian section. In conclusion, although no clinical evidence of lupus disease activity was demonstrated pre-conception proteinuria significantly increased during pregnancy along with maternal and fetal complications. Pregnant females with diagnosis of SLE need a multidisciplinary care during the pregnancy and post-partum period.
Download full-text PDF |
Source |
---|
Anal Bioanal Chem
January 2025
Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL, USA.
An increasing number of cannabis-related products have become available and entered the market, particularly those containing cannabidiol (CBD) and Δ-tetrahydrocannabinol (Δ-THC). Analytical methods for cannabinoids in urine have been described extensively in the literature. However, methods providing good resolution for distinguishing interferences from THC positional isomers are needed.
View Article and Find Full Text PDFClin Obstet Gynecol
March 2025
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, NYU Langone Health, New York, NY.
Vasa previa is an abnormality of the umbilical cord and fetal membranes that affects ∼1 in 1300 pregnancies. The diagnosis is made by visualization of velamentous fetal vessels coursing within the membranes over the cervix unprotected by Wharton jelly or placenta. When it is not diagnosed prenatally, it is associated with a high risk of fetal death.
View Article and Find Full Text PDFMed Sci (Basel)
December 2024
Department of Medical Genetics, Faculty of Medicine, Medical University of Varna, 9002 Varna, Bulgaria.
: NIPT is a widely implemented method for prenatal screening of chromosomal disorders. Its introduction initiated the practice of counseling women pre- and post-analytically. Since the test's usage is established in different conditions, comparing data from various socioeconomic and cultural backgrounds would be of scientific value.
View Article and Find Full Text PDFRheumatol Adv Pract
January 2025
Department of Internal Medicine, Hospital General "Dr. Manuel Gea González", Ciudad de Mexico, Mexico.
APS is an autoimmune disorder characterized by thrombosis and pregnancy complications, primarily driven by aPLs such as LA, aCL and anti-β2 glycoprotein I (a-β2GPI). Despite advances in anticoagulation therapies, managing refractory APS cases remains challenging. Emerging therapies, including rituximab, eculizumab and HCQ, show potential in addressing the underlying mechanisms of APS.
View Article and Find Full Text PDFEur J Obstet Gynecol Reprod Biol X
March 2025
Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
This review examines the emerging applications of machine learning (ML) and radiomics in the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a significant challenge in obstetric care. It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification and risk stratification of PAS. The review discusses the efficacy of various deep learning models, such as nnU-Net and DenseNet-PAS, which have demonstrated superior performance over traditional diagnostic methods through high AUC scores.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!