Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
A better knowledge of patient flows would improve decision making in health planning. In this article, we propose a method to characterise patients flows and also to highlight profiles of care pathways considering times and costs. From medico-administrative data, we extracted spatio-temporal patterns. Then, we clustered time between hospitalisations and cost trajectories in order to identify profiles of change over time. This approach may support renewed management strategies.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Quantitative Analysis of Haemodynamic Influences on Cerebral Circulation in Hybrid Thoracic Endovascular Aortic Repair: A Prospective Study.
Eur J Vasc Endovasc Surg
September 2025
Department of Cardiovascular Surgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Objective: This study aimed to use quantitative magnetic resonance angiography (qMRA) to investigate the haemodynamic influences on cerebral circulation after hybrid thoracic endovascular aortic repair (TEVAR).
Methods: Between January 2016 and October 2019, zone 1 and 2 TEVAR with supra-arch rerouting procedure in extra-anatomical fashion was performed in 24 patients (mean age 72.9 ± 11.
Harlequin Syndrome in Venoarterial ECMO and ECPELLA: When ECMO and Native or Impella Circulations Collide - A Comprehensive Review.
Rev Cardiovasc Med
August 2025
Department of Neurosciences, Institute of Human Anatomy, University of Padova, 35121 Padova, Italy.
Harlequin syndrome, also known as differential hypoxia (DH) or North-South syndrome, is a serious complication of femoro-femoral venoarterial extracorporeal membrane oxygenation (V-A ECMO). Moreover, Harlequin syndrome is caused by competing flows between the retrograde oxygenated ECMO output and the anterograde ejection of poorly oxygenated blood from the native heart. In the setting of impaired pulmonary gas exchange, the addition of an Impella device (ECPELLA configuration), although beneficial for ventricular unloading and hemodynamic support, may further exacerbate this competition and precipitate DH.
View Article and Find Full Text PDFDLCO in HIV Patients and Their Association with CD4 and VL.
HIV AIDS (Auckl)
September 2025
Department of Respiratory Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Introduction: The advent of highly active antiretroviral therapy (HAART) has changed infection by human immunodeficiency virus (HIV) from an acute disease to a manageable chronic condition; however, pulmonary complications continue to affect patient quality of life. The goal of this research was to examine the link between CD4+ levels, viral load, and respiratory function in patients infected with HIV.
Methods: Patients were grouped as HIV-infected and non-infected (1:2 ratio).
Constructing Opioid Legitimacy: The Canadian Pain Task Force's Framing of the Overdose Crisis.
J Law Med Ethics
September 2025
Dalla Lana School of Public Health, https://ror.org/03dbr7087University of Toronto, Canada.
The opioid overdose crisis has become a global public health emergency, claiming more than 100,000 lives each year. In North America, shifting opioid prescribing practices in response to the crisis have profoundly affected people living with chronic pain, who now face reduced access to prescription opioids. Against this backdrop, pain stakeholders have become increasingly active in policymaking arenas to shape how opioids and pain are understood.
View Article and Find Full Text PDFAI-powered automated model construction for patient-specific CFD simulations of aortic flows.
Sci Adv
September 2025
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Image-based modeling is essential for understanding cardiovascular hemodynamics and advancing the diagnosis and treatment of cardiovascular diseases. Constructing patient-specific vascular models remains labor-intensive, error-prone, and time-consuming, limiting their clinical applications. This study introduces a deep-learning framework that automates the creation of simulation-ready vascular models from medical images.
View Article and Find Full Text PDF