Discordance and Performance of the ARC-HBR and PRECISE-DAPT High Bleeding Risk Definitions After Coronary Stenting.

Background: The aim of the ARC-HBR (Academic Research Consortium for High Bleeding Risk) and PRECISE-DAPT (Predicting Bleeding Complications in Patients Undergoing Stent Implantation and Subsequent Dual Antiplatelet Therapy) score definitions for high bleeding risk is to identify patients who would benefit from shorter or less intensive antiplatelet therapy after coronary stenting.

Objectives: The aim of this study was to assess the performance of the ARC-HBR and PRECISE-DAPT score definitions for high bleeding risk in routine clinical practice.

Methods: Using nationwide registers, all patients in Stockholm, Sweden, who were discharged after coronary stenting with dual antiplatelet therapy (January 1, 2013, to July 1, 2018) were included.

Optimising Asthma Self-Management: Preliminary Validation of an Arabic Version of the Inhaler Technique Questionnaire.

Background: Correct inhaler technique is vital for managing respiratory conditions like asthma. Patients from culturally and linguistically diverse backgrounds are at higher risk of sub-optimal adherence and errors in inhaler technique. This study aimed to validate an Arabic version of the inhaler technique questionnaire for self-assessment of the metered-dose inhaler (MDI) technique by assessing agreement between observed and self-reported techniques among Arabic-speaking individuals with asthma in Australia.

Bone imaging modality precision and agreement between DXA, pQCT, and HR-pQCT.

Quantifying precision error for DXA, peripheral QCT (pQCT), and HR-pQCT is crucial for monitoring longitudinal changes in body composition and musculoskeletal outcomes. Agreement and associations between bone variables assessed using pQCT and second-generation HR-pQCT are unclear. This study aimed to determine the precision of, and agreement and associations between, bone variables assessed via DXA, pQCT, and second-generation HR-pQCT.

Cell deconvolution-based integrated time-series network of whole blood transcriptome reveals systemic antiviral activities and cell-specific immunological changes against PRRSV infection.

Porcine reproductive and respiratory syndrome (PRRS) causes significant economic losses in the swine industry. However, the molecular mechanisms behind the common and cell type-specific systemic responses during PRRS virus (PRRSV) infection are not well understood. In this study, we collected viremia data, antibody levels, and whole-blood RNA-seq data obtained from eight PRRSV-infected piglets.