A Prospective Study of the Prevalence and Predictive Risk Factors of Repeat Breeder Syndrome in Dairy Cattle in the North of Spain.

This study examined the prevalence and risk factors of repeat breeder syndrome (RB) in 2370 dairy cows in northern Spain. Data collected included the prevalence of postpartum pathologies, metabolic markers, and productive and reproductive parameters. The overall RB prevalence was 21.

Frailty assessment in adults undergoing allogeneic hematopoietic cell transplantation: insights from a multicenter GETH-TC study to optimize outcomes and care.

Introduction: This multicenter prospective study sponsored by the (GETH-TC) explores the use of frailty assessments in allo-HCT candidates.

Methods: Frailty was measured using the HCT Frailty Scale at first consultation and HCT admission in 404 adults from 15 HCT programs in Spain. Based on the results, patients were classified into fit, pre-frail and frail categories.

The modulating effect of circulating carbohydrate antigen 125 on ST2 and long-term recurrent morbidity burden.

Soluble ST2 (sST2) is released in response to vascular congestion, inflammation, and pro-fibrotic stimuli. In heart failure (HF), elevated levels of sST2 are associated with a higher risk of adverse clinical outcomes. Emerging evidence suggests that carbohydrate antigen 125 (CA125) may act as a ligand that modulates the inflammatory response.

Evaluation of prevalence, risk factors, and therapeutic approach for subclinical endometritis and oviductal occlusion in repeat breeder Holstein cattle.

Due to the productive and economic consequences of Repeat Breeder (RB) syndrome, the objectives of this study were to determine the prevalence and risk factors for subclinical endometritis (SE) and oviductal occlusion (OO) in RB cows, and to make a therapeutic approach for these pathologies. In 99 RB cows, endometrial cytologies were performed to assess the presence of SE (>5 % polymorphonuclear neutrophils), and the oviductal patency was checked using the phenolsulfonphthalein test. Body condition score was evaluated, and data from each animal were obtained from on-farm software (parity, calving date, artificial insemination (AI) date, number of AI, and occurrence of postpartum diseases).

Virtual histopathology methods in medical imaging - a systematic review.

Virtual histopathology is an emerging technology in medical imaging that utilizes advanced computational methods to analyze tissue images for more precise disease diagnosis. Traditionally, histopathology relies on manual techniques and expertise, often resulting in time-consuming processes and variability in diagnoses. Virtual histopathology offers a more consistent, and automated approach, employing techniques like machine learning, deep learning, and image processing to simulate staining and enhance tissue analysis.