The aim of this study is to describe the predictive factors of driving cessation at 6-month follow-up in older patients discharged from a rehabilitation setting and evaluated by an occupational therapist in a multidisciplinary team. Of 95 patients, at 6-month 27.4% ceased to drive. The reasons for driving cessation were a patients' voluntary choice (42.3%) or a choice of their family (23.1%), and only in 34.6% of the patients the license was revoked by a medical commission. In a multivariate analysis greater functional impairment-measured with the Timed Up and Go test-(OR 12.60, CI 2.74-57.89; p < 0.01) was the only predictor of driving cessation. This study shows that the ability to walk safely and independently is a significant predictor of driving cessation. The simple assessment of this factor using the TUG might be an easy screening tool to prompt a second level evaluation to accurately identify unsafe driving.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s40520-017-0804-x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Impact of Storage Conditions on Stool Smellprints as Assessed by an Electronic Nose.
ACS Sens
January 2025
Department of Surgery, Division of Pediatric Surgery, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.
Necrotizing enterocolitis (NEC) is a devastating disease of the neonatal gastrointestinal tract. Volatile organic compounds (VOCs), odoriferous compounds released as a byproduct of bacterial metabolism, can be used as a proxy for gut health. We hypothesized that patients with NEC would have different microbial profiles and elicit different VOC signatures as assessed by gas chromatography/mass spectrometry (GC/MS) or an electronic nose compared to controls.
View Article and Find Full Text PDFBackground: Acne is an inflammatory skin disease afflicting the majority of the world's population at some point in their lifetime, and is seen to be chronic in about 50% of cases. Acne leads to significant social withdrawal, depression, and disfiguring scars in many cases. Available treatments are characterized by high rates of relapse, dangerous side effects, and social stigma, which often leads to poor patient compliance and treatment failure.
View Article and Find Full Text PDFPrognostic value of systemic immune-inflammation index in older patients with acute coronary syndrome.
Coron Artery Dis
January 2025
Department of Cardiology, University of Health Sciences, Şişli Hamidiye Etfal Education and Research Hospital, Istanbul, Turkey.
Objectives: Contemporary studies assessing the importance of the systemic immune-inflammation index (SII) in older patients presenting with acute coronary syndrome (ACS) are scarce. This study investigated the impact and prognostic value of the SII regarding long-term mortality in older patients with ACS.
Methods: The study included 401 older patients aged 75 years and above admitted with ACS between May 2015 and December 2022.
Sleep and breathing in children with Joubert syndrome and a review of other rare congenital hindbrain malformations.
Ther Adv Respir Dis
January 2025
Division of Pulmonary and Sleep Medicine, Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, 4800 Sand Point Way NE, OC 7.730, Seattle, WA 98105, USA.
Background: Joubert syndrome (JS) is an autosomal recessive disorder with a distinctive mid-hindbrain malformation known as the "molar tooth sign" which involves the breathing control center and its connections with other structures. Literature has reported significant respiratory abnormalities which included hyperpnea interspersed with apneic episodes during wakefulness. Larger-scale studies looking at polysomnographic findings or subjective reports of sleep problems in this population have not yet been published.
View Article and Find Full Text PDFDefining the Critical Requisites for Accurate Simulation of SARS-CoV-2 Viral Dynamics: Patient Characteristics and Data Collection Protocol.
J Med Virol
January 2025
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Mathematical models of viral dynamics are crucial in understanding infection trajectories. However, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load data often includes limited sparse observations with significant heterogeneity. This study aims to: (1) understand the impact of patient characteristics in shaping the temporal viral load trajectory and (2) establish a data collection protocol (DCP) to reliably reconstruct individual viral load trajectories.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!