Publications by authors named "L P de Blanco"

Since the pionneer work of Meerwaldt and the Groningen team, who related skin autofluorescence (SAF) to the dermal concentrations of advanced glycation end-products (AGEs), hundreds of articles have been devoted to its application in diabetes. Due to the slow turnover of the AGEs formed on collagen of the skin, the SAF can reflect the progressive accumulation of AGEs and hence be a marker of long-term glucose exposure. Accordingly, relations with HbA1c from the previous 3-10 years have been established in both type 1 and type 2 diabetes, and even in gestational diabetes mellitus.

View Article and Find Full Text PDF

Herein, we describe a method to purify higher buoyancy neutrophils after exposure of whole blood to brief hypoxia and reoxygenation in combination with platelet-derived serotonin. These higher buoyancy neutrophils display enhanced ability to form neutrophil extracellular traps and increment the tryptamine-protein adducts. Similar changes are identified in neutrophils isolated from patients with systemic lupus erythematosus.

View Article and Find Full Text PDF

The Retirement Knowledge Scale (RKS) consists of 10 questions that assess three aspects of financial planning for retirement: reflection about retirement plans, engagement with information on retirement preparedness, and evaluation of retirement preparedness. The RKS was administered to 1350 adults 50 and older in the Health and Retirement Study (HRS) as an experimental module for the 2020 wave along with the "Big Three" questions of financial literacy that assess knowledge about inflation, interest rate, and risk. Results of the study provide support for the reliability of the RKS scales in the full sample and separately for non-retired and retired adults.

View Article and Find Full Text PDF

Entrustable professional activities (EPAs) have been implemented in various medical specialties, and the Pathology National EPA Working Group has piloted the implementation of four pathology EPAs. We recently published the development of EPAs within our surgical pathology rotation. Following a six-month pilot, a survey demonstrated that faculty and residents found the forms helpful and easy to use and easy to understand, and EPAs have been fully incorporated into our surgical pathology rotation.

View Article and Find Full Text PDF

Objective: To evaluate machine learning models' performance in predicting acute pancreatitis severity using early-stage variables while excluding laboratory and imaging tests.

Summary Background Data: Severe acute pancreatitis (SAP) affects approximately 20% of acute pancreatitis (AP) patients and is associated with high mortality rates. Accurate early prediction of SAP and in-hospital mortality is crucial for effective management.

View Article and Find Full Text PDF