Unlabelled: In this brief report, we present the findings of a survey which explores the learning curve that was achieved during the 'Serial Lung Ultrasound in predicting the need for surfactant and Respiratory course in Preterm infants' (SLURP) study. The aim of this survey was to evaluate the training lung ultrasound operators received in order to scan patients who were recruited into the SLURP study. The aim of the SLURP study was to validate the optimal lung ultrasound (LU) 'cut off' score using standard and extended LU zones that predict surfactant need in babies born ≤ 34 weeks on non-invasive respiratory support when clinicians had various levels of experience in LU.
View Article and Find Full Text PDFBackground: Genome-wide association studies have identified several hundred susceptibility single nucleotide variants for coronary artery disease (CAD). Despite single nucleotide variant-based genome-wide association studies improving our understanding of the genetics of CAD, the contribution of structural variants (SVs) to the risk of CAD remains largely unclear.
Method And Results: We leveraged SVs detected from high-coverage whole genome sequencing data in a diverse group of participants from the National Heart Lung and Blood Institute's Trans-Omics for Precision Medicine program.
Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Objective: To review the literature to identify the present evidence on the extraction of second molars in orthodontics.
Materials & Method: A search of the MEDLINE/PubMed, Scopus, Web of Science™, and ProQuest databases for full-text articles was done on March 5, 2024. The search went back till the 1st of January 1991 and was limited to articles in English.
Metabolites that mark aging are not fully known. We analyze 408 plasma metabolites in Long Life Family Study participants to characterize markers of age, aging, extreme longevity, and mortality. We identify 308 metabolites associated with age, 258 metabolites that change over time, 230 metabolites associated with extreme longevity, and 152 metabolites associated with mortality risk.
View Article and Find Full Text PDF