The guided use of an e-health tool to strengthen health literacy. A pilot study in a multicultural diabetes population in a primary care clinic in Brussels.

Objectives: We aimed to investigate whether the use of an e-health tool, guided by a healthcare provider, can improve health literacy (HL) in primary care.

Methods: We set up a longitudinal prospective cohort study in a primary care clinic in Brussels. Diabetes patients were invited to participate in two study consultations with a trained healthcare provider, in which an e-health tool was introduced.

Clinical and Surgical Outcome of a Supplementary Multifocal Intraocular Lens Implanted with a Bag-In-the-Lens Intraocular Lens: 5-Year Follow-Up.

Introduction: To assess the postoperative outcome and patient-reported satisfaction, spectacle independence, and dysphotopsia after implantation with the mutifocal Rayner Sulcoflex supplementary intraocular lens (sIOL).

Materials And Methods: We analyzed the outcome of all patients implanted with a multifocal sIOL between 2009 and 2011. In all cases, the sIOL was the Rayner Sulcoflex IOL (type 653F) and the primary IOL was a bag-in-the-lens (BIL) IOL.

Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

Rationale And Objectives: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a significant negative impact on the quality of life and accelerate progression of the disease. Functional respiratory imaging (FRI) has the potential to better characterize this disease. The purpose of this study was to identify FRI parameters specific to AECOPD and assess their ability to predict future AECOPD, by use of machine learning algorithms, enabling a better understanding and quantification of disease manifestation and progression.

Quantitative CT analysis using functional imaging is superior in describing disease progression in idiopathic pulmonary fibrosis compared to forced vital capacity.

Background: Idiopathic pulmonary fibrosis (IPF) is chronic fibrosing pneumonia with an unpredictable natural disease history. Functional respiratory imaging (FRI) has potential to better characterize this disease. The aim of this study was to identify FRI parameters, which predict FVC decline in patients with IPF.