Pilot monitoring study in patients with diabetic kidney disease using NORA application.

Introduction: Diabetic Kidney Disease (DKD) is the most common cause of end-stage chronic kidney disease (CKD), conditioning these patients to a worse renal prognosis and higher cardiovascular mortality and/or requirement for renal replacement therapy. The use of novel information and communication technologies (ICTs) focused on the field of health, may facilitates a better quality of life and disease control in these patients. Our objective is to evaluate the effect of monitoring DKD patients using NORA-app.

PRERISK: A Personalized, Artificial Intelligence-Based and Statistically-Based Stroke Recurrence Predictor for Recurrent Stroke.

Background: Predicting stroke recurrence for individual patients is difficult, but individualized prediction may improve stroke survivors' engagement in self-care. We developed PRERISK: a statistical and machine learning classifier to predict individual risk of stroke recurrence.

Methods: We analyzed clinical and socioeconomic data from a prospectively collected public health care-based data set of 41 975 patients admitted with stroke diagnosis in 88 public health centers over 6 years (2014-2020) in Catalonia-Spain.

Redefining Disability: Patient-Reported Outcome Measures After Minor Stroke and Transient Ischemic Attack.

Background: Long-term outcome assessment patients with stroke is not fully captured by usual clinical scales such as the modified Rankin Scale (mRS). Patient-reported outcome measures (PROMs) are standardized and validated assessments that consider clinical outcomes from the patient perspective. We aim to analyze the added value of PROMs in patients with transient ischemic attack and minor stroke.

Added value of patient-reported outcome measures (PROMs) after an acute stroke and early predictors of 90 days PROMs.

Introduction: Value-based health care represents a patient-centered approach by valuing Patient-Reported Outcome Measures (PROMs). Our aim was to describe the additional value of PROMs after an acute stroke over conventional outcome measures and to identify early predictors of poor PROMs.

Methods: Acute stroke patients discharged from a tertiary care hospital followed by a web/phone-based PROMs collection program in the post hospitalization phase.

Patient-reported outcome measures after thrombectomy in patients with acute stroke: fine-tuning the modified Rankin Scale.

Background: In patients with stroke undergoing endovascular treatment (EVT), long-term outcome is usually only evaluated by the modified Rankin Scale (mRS). Patient-reported outcomes (PROMs) are standardized assessments that consider clinical outcomes from the perspective of the patient. We aimed to evaluate PROMs through a smartphone-based communication platform in patients with stroke who received EVT.

Farmalarm.

Background and Purpose- Risk factor control and treatment compliance in the following months after stroke are poor. We aim to validate a digital platform for smartphones to raise awareness among patients about the need to adopt healthy lifestyle, improve communication with medical staff, and treatment compliance. Methods- Farmalarm is an application (app) for smartphones designed to increase stroke awareness by medication alerts and compliance control, chat communication with medical staff, didactic video files, exercise monitoring.