Publications by authors named "P Cuadras"
Article Synopsis
- * A study with 30 participants suffering from PCC revealed they had thicker vagus nerves and lower gastrointestinal activity compared to recovered and uninfected individuals, indicating significant nerve dysfunction.
- * Findings suggest that both vagus and phrenic nerve issues play a role in the symptoms of PCC, highlighting the complex nature of this post-viral syndrome.
Introduction: Ischaemic stroke is the most common neurological complication of cardiac catheterisation. This study aims to analyse the clinical and prognostic differences between post-catheterisation stroke code (SC) and all other in-hospital and prehospital SC.
Methods: We prospectively recorded SC activation at our centre between March 2011 and April 2016.
Article Synopsis
- The study focused on the effects of Paget's disease of the temporal bone (PDTB) on hearing loss, examining CT scan findings and bone density measurements.
- In the PDTB group, 87% experienced hearing loss, with lower air-conduction thresholds compared to a control group, where only 48% had hearing loss.
- A significant correlation was found between decreased bone density in the otic capsule and hearing loss in PDTB patients, while no such correlation existed in the control group.
Background: Currently available scores for predicting shunt dependency after aneurysmal spontaneous subarachnoid hemorrhage (aSAH) are limited and not widely accepted. The key purpose of this study was to validate a recently created score for shunt dependency in aSAH (SDASH) in an independent population of aSAH patients. We compared this new SDASH score based on a combination of the Hunt and Hess grade, Barrow Neurological Institute (BNI) score, and the presence or not of acute hydrocephalus with other published predictive scores.
View Article and Find Full Text PDFBackground And Purpose: Reliable recognition of large vessel occlusion (LVO) on noncontrast computed tomography (NCCT) may accelerate identification of endovascular treatment candidates. We aim to validate a machine learning algorithm (MethinksLVO) to identify LVO on NCCT.
Methods: Patients with suspected acute stroke who underwent NCCT and computed tomography angiography (CTA) were included.