Identifying specific subgroups of older patients at risk of repeated hospital readmissions and death after discharge in a prospective multicentre cohort in France.

Objective: To identify specific subgroups of older patients at risk of repeated hospital readmissions and death.

Design: Prospective, multicentre, DAMAGE (Patient Outcomes After Hospitalization in Acute Geriatric Unit) cohort of adults aged 75 and over, discharged from an acute geriatric unit (AGU) and followed up for 12 months.

Setting: Six recruiting hospital centres in the Hauts-de-France and Normandie regions of France.

The Impact of Amotosalen Photochemical Pathogen Inactivation on Human Platelet Lysate.

Background: Human Platelet Lysate (hPL) is a platelet-derived and growth factor-rich supplement for cell culture. It can be prepared from surplus platelet concentrates initially intended for transfusion. Amotosalen-based photochemical pathogen inactivation of platelet concentrates is used in a number of blood establishments worldwide to minimize the risk of pathogen transmission from donor to patient.

Identification of patient subtypes based on protein expression for prediction of heart failure after myocardial infarction.

This study investigates the ability of high-throughput aptamer-based platform to identify circulating biomarkers able to predict occurrence of heart failure (HF), in blood samples collected during hospitalization of patients suffering from a first myocardial infarction (MI). REVE-1 (derivation) and REVE-2 (validation) cohorts included respectively 254 and 238 patients, followed up respectively 9 · 2 ± 4 · 8 and 7 · 6 ± 3 · 0 years. A blood sample collected during hospitalization was used for quantifying 4,668 proteins.

Single step method for high yield human platelet lysate production.

Background: We aimed to develop a single step method for the production of human platelet lysate (hPL). The method must result in high hPL yields, be closed system and avoid heparin use.

Study Design And Methods: The method aimed at using glass beads and calcium.

Reject inference methods in credit scoring.

The granting process is based on the probability that the applicant will refund his/her loan given his/her characteristics. This probability, also called score, is learnt based on a dataset in which rejected applicants are excluded. Thus, the population on which the score is used is different from the learning population.