Objective: The aim of the study was to determine the sensitivity, specificity and accuracy of noninvasive tests for the fetal rhesus CcEc (RHCE) alleles C, c and E in early pregnancy.

Design: A prospective clinical trial was carried out to evaluate diagnostic accuracy.

Setting: Women were recruited at four centres specialising in prenatal diagnosis. Peripheral blood and amniotic fluid samples were obtained and sent to a single laboratory for analysis.

Sample: A total of 233 tests (46 for C, 87 for c and 100 for E) were performed on 181 specimens obtained from pregnant women at weeks 12 to 28 (median week 16) of gestation.

Methods: Following automated extraction of fetal DNA from maternal plasma, two different real-time polymerase chain reaction (PCR) protocols were used for the detection of the C, c and E alleles of RHCE. The results of the PCR were compared with genotyping results for the amniotic fluid.

Main Outcome Measures: Failure rate, sensitivity, specificity and accuracy were the main outcome measures.

Results: Unequivocal results were obtained for all specimens. With the first PCR protocol, the sensitivity was 100% for C, 38% for c and 59% for E. In contrast, with the second protocol, the sensitivity for C, c and E was 100%. The specificity for all assays was found to be between 99% and 100%.

Conclusions: A highly accurate protocol has been identified for the detection of fetal RHCE alleles in maternal plasma in early pregnancy. This noninvasive approach can be considered as a useful test in the management of pregnancies with anti-c, anti-E or anti-C alloimmunisation.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1471-0528.2010.02518.xDOI Listing

Publication Analysis

Top Keywords

accuracy noninvasive
8
polymerase chain
8
chain reaction
8
fetal rhesus
8
early pregnancy
8
sensitivity specificity
8
specificity accuracy
8
rhce alleles
8
maternal plasma
8
protocol sensitivity
8

Similar Publications

Background: Heart failure (HF) is a high-burden clinical syndrome characterized by intravascular and extravascular congestion, impacting patients' outcomes. Current diagnostic methods for assessing intravascular congestion, including right heart catheterization (RHC), have some limitations. There is a need for accurate, stable, and widely applicable non-invasive measurement methods to improve HF diagnosis and treatment.

View Article and Find Full Text PDF

Machine learning-based forecast of Helmet-CPAP therapy failure in Acute Respiratory Distress Syndrome patients.

Comput Methods Programs Biomed

December 2024

Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Piazza Leonardo Da Vinci 32, Milano, MI, 20133, Italy. Electronic address:

Background And Objective: Helmet-Continuous Positive Airway Pressure (H-CPAP) is a non-invasive respiratory support that is used for the treatment of Acute Respiratory Distress Syndrome (ARDS), a severe medical condition diagnosed when symptoms like profound hypoxemia, pulmonary opacities on radiography, or unexplained respiratory failure are present. It can be classified as mild, moderate or severe. H-CPAP therapy is recommended as the initial treatment approach for mild ARDS.

View Article and Find Full Text PDF

Introduction: Gastric cancer (GC) is a leading cause of cancer-related deaths worldwide, with delayed diagnosis often limiting effective treatment options. This study introduces a novel, non-invasive radiomics-based approach utilizing [18F] FDG PET/CT to predict VEGF status and survival in GC patients. The ability to non-invasively assess these parameters can significantly influence therapeutic decisions and outcomes.

View Article and Find Full Text PDF

Lighting Up Dual-Aptamer-Based DNA Logic-Gated Series Lamp Probes with Specific Membrane Proteins for Sensitive and Accurate Cancer Cell Identification.

Anal Chem

January 2025

Key Laboratory of Laboratory Medicine, Ministry of Education, Zhejiang Provincial Key Laboratory of Medical Genetics, Cixi Biomedical Research Institute, School of Laboratory Medicine and Life sciences, Wenzhou Medical University, Wenzhou 325035, China.

Accurate identification of cancer cells under complex physiological environments holds great promise for noninvasive diagnosis and personalized medicine. Herein, we developed dual-aptamer-based DNA logic-gated series lamp probes (Apt-SLP) by coupling a DNA cell-classifier (DCC) with a self-powered signal-amplifier (SSA), enabling rapid and sensitive identification of cancer cells in a blood sample. DCC is endowed with two extended-aptamer based modules for recognizing the two cascade cell membrane receptors and serves as a DNA logic gate to pinpoint a particular and narrow subpopulation of cells from a larger population of similar cells.

View Article and Find Full Text PDF

Background: Noninvasive tests (NITs) to monitor metabolic dysfunction-associated steatohepatitis (MASH) progression and response to interventions are needed because of the risks of liver biopsy. A monocytes-based diagnostic test using perilipin-2 (PLIN2) and Ras-related protein-14 (RAB14) predict the severity of MASH and fibrosis. Here we compared the performances of PLIN2 and RAB14 with cytokeratin-18 (CK18) assessed by Ella™ or M65 ELISA in predicting MASH and fibrosis resolution following bariatric surgery in a longitudinal and histologically characterized cohort of individuals with obesity.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!