Identification of Patient Profiles with High Risk of Hospital Re-Admissions for Acute COPD Exacerbations (AECOPD) in France Using a Machine Learning Model.

Purpose: To characterise patients with chronic obstructive pulmonary disease (COPD) who are rehospitalised for an acute exacerbation, to estimate the cost of these hospitalisations, to characterise high risk patient sub groups and to identify factors potentially associated with the risk of rehospitalisation.

Patients And Methods: This was a retrospective study using the French National Hospital Discharge Database. All patients aged ≥40 years hospitalised for an acute exacerbation of COPD between 2015 and 2016 were identified and followed for six months.

Acute Ischemic Stroke (AIS) patient management in French stroke units and impact estimation of thrombolysis on care pathways and associated costs.

Background: Stroke is the second leading cause of death and a first leading cause of acquired disability in adults worldwide. This study aims to evaluate the current management and associated costs of acute ischemic stroke (AIS) for patients admitted in stroke units in France and over a one-year follow-up period as well as to assess the impact of improved thrombolytic management in terms of increasing the proportion of patients receiving thrombolysis and/or treated within 3 h from the onset of symptoms.

Methods: A decision model was developed, which comprises two components: the first corresponding to the acute hospital management phase of patients with AIS up until hospital discharge, extracted from the national hospital discharge database (PMSI 2011), and the second corresponding to the post-acute (post-discharge) phase, based on national treatment guidelines and stroke experts' advice.