Stroke Risk Analysis, a System With a High Detection Rate of Atrial Fibrillation in Stroke and Transient Ischemic Attack.

Background and Purpose- Stroke Risk Analysis (SRA) comprises an algorithm for automated analysis of ECG monitoring, enabling the detection of paroxysmal atrial fibrillation (pxAF) and identifying patterns indicating a high risk of atrial fibrillation (R_AF). We compared Holter-enabled continuous ECG monitoring in combination with SRA (hSRA) with standard continuous ECG monitoring for pxAF detection in patients with acute ischemic stroke. Also, we sought to identify whether the detection of R_AF patterns during the first cycle (first 2 hours) of hSRA recording was associated with the detection of pxAF during the Stroke Unit stay.

Validation of the Spanish Version of the Pain Assessment in Advanced Dementia Scale (PAINAD-Sp) in Hospitalized Patients with Neurologic Disorders and Oncologic Patients Unable to Self-Report Their Pain.

Background: Pain has a significant impact on hospitalized patients and is a quality indicator for nursing care. The Pain Assessment in Advanced Dementia (PAINAD) scale measures pain in people with communication disorders and advanced dementia, but it has not been validated in any other population.

Aims: The aim of this study was to validate the Spanish version (PAINAD-Sp) in hospitalized patients with neurologic disorders and in end-of-life cancer patients with difficulty self-reporting.