Objective: Clinical implementation of cell free(cf) DNA testing in maternal blood for aneuploidies in singleton pregnancies.
Methods: This is a retrospective study conducted in two centers for fetal medicine in Sofia, Bulgaria, between October 2013 and August 2015. We examined the clinical implementation of cf DNA testing in the routine practice for trisomies 21, 18 and13 after the performance of the first trimester combined test, second trimester biochemical test and/or the combination between first and second trimester integrated test.
Results: Cell-free DNA testing was performed in 170 singleton pregnancies with a median maternal age of 35 (range 22-46) years. The primary risk assessment for aneuploidies was derived from 95 cases after the first trimester combined screening test, 39 cases after the second trimester biochemical screening test, 16 cases after the integrated screening test and 20 cases there were no screening test performed. The results from the first line screening test were : 8 pregnancies with risk for trisomy 21 > 1: 100; 23 pregnancies with risk for trisomy 21 from 1:100 to 1: 300; 43 pregnancies with risk for trisomy 21 from 1:300 to 1:1000 and 76 pregnancies with risk for trisomy 21 < 1: 1000. No pregnancies with high risk for T13/T18 were identified. The analysis of cf DNA in the maternal blood reported 3 cases with T21 and no cases with T18 or T13. There was only one case of T21 in the group with risk >1:100 identified by the cf DNA analysis which was also identified by the first trimester combined screening test. The positive results were confirmed with invasive testing: CVS in the first trimester (one case) and Amniocentesis in the second trimester (two cases).
Conclusion: Clinical implementation of cell-free DNA analysis in the contingent policy for screening could improve the detection rate for T21 and could reduce the rate of invasive procedures.
Download full-text PDF |
Source |
---|
J Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
JMIR Res Protoc
January 2025
Data and Web Science Group, School of Business Informatics and Mathematics, University of Manneim, Mannheim, Germany.
Background: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are increasingly integrated into various applications, including mental health support. However, the credibility of LLMs in providing reliable and explainable mental health information and support remains underexplored.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Department of Radiology, Dr BRAIRCH, All India Institute of Medical Sciences, New Delhi, India.
Purpose: To explore the perceived utility and effect of simplified radiology reports on oncology patients' knowledge and feasibility of large language models (LLMs) to generate such reports.
Materials And Methods: This study was approved by the Institute Ethics Committee. In phase I, five state-of-the-art LLMs (Generative Pre-Trained Transformer-4o [GPT-4o], Google Gemini, Claude Opus, Llama-3.
Am J Respir Crit Care Med
January 2025
University of Washington, Global Health, Seattle, Washington, United States.
Clin Infect Dis
January 2025
IQVIA Inc., Falls Church, VA.
Background: Efficient and cost-effective testing strategies are needed to reduce HIV transmission. The aim of this study was to compare the costs of using the current CDC 3-step HIV algorithm - antigen/antibody screening, differentiation immunoassay (Geenius) and NAT against an alternative algorithm using a cobas® HIV-1/HIV-2 qualitative NAT.
Methods: A one-year cost calculator was developed from a US payer perspective using a decision-tree approach to simulate testing in a population of 1 million individuals.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!