Literature DB >> 28983881

Alzheimer's disease and driving: review of the literature and consensus guideline from Belgian dementia experts and the Belgian road safety institute endorsed by the Belgian Medical Association.

Jan Versijpt1, Mark Tant2, Ingo Beyer3, Jean-Christophe Bier4, Patrick Cras5, Peter P De Deyn6,7, Patrick De Wit8, Olivier Deryck9, Bernard Hanseeuw10, Margareta Lambert11, Jean-Claude Lemper12, Eric Mormont13,14, Mirko Petrovic15, Gaetane Picard16, Eric Salmon17, Kurt Segers18, Anne Sieben19, Evert Thiery19, Jos Tournoy20,21, Maurits Vandewoude22, Manfredi Ventura23, Jurn Verschraegen24, Sebastiaan Engelborghs6,7, Tom Goffin25, Michel Deneyer25,26, Adrian Ivanoiu10.   

Abstract

Alzheimer's disease (AD) is a highly prevalent condition and its prevalence is expected to further increase due to the aging of the general population. It is obvious that the diagnosis of AD has implications for driving. Finally, driving discussions are also emotionally charged because driving is associated with independence and personal identity. However, it is not clear how to implement this in clinical practice and the Belgian law on driving is rather vague in its referral to neurodegenerative brain diseases in general nor does it provide clear-cut instructions for dementia or AD compared to for example driving for patients with epilepsy and as such does not prove to be very helpful. The present article reviews what is known from both literature and existing guidelines and proposes a consensus recommendation tailored to the Belgian situation agreed by both AD experts and the Belgian Road Safety Institute endorsed by the Belgian Medical Association. It is concluded that the decision about driving fitness should be considered as a dynamic process where the driving fitness is assessed and discussed early after diagnosis and closely monitored by the treating physician. The diagnosis of AD on itself definitely does not imply the immediate and full revocation of a driving license nor does it implicate a necessary referral for a formal on-road driving assessment. There is no evidence to recommend a reduced exposure or a mandatory co-pilot. A MMSE-based framework to trichotomise AD patients as safe, indeterminate or unsafe is presented. The final decision on driving fitness can only be made after careful history taking and clinical examination, neuropsychological, functional and behavioral evaluation and, only for selected cases, a formal assessment of driving performance.

Entities:  

Keywords:  Alzheimer’s disease; Dementia; Driving; Neurodegeneration

Mesh:

Year:  2017        PMID: 28983881     DOI: 10.1007/s13760-017-0840-5

Source DB:  PubMed          Journal:  Acta Neurol Belg        ISSN: 0300-9009            Impact factor:   2.396


  5 in total

Review 1.  Driving and Alzheimer's dementia or mild cognitive impairment: a systematic review of the existing guidelines emphasizing on the neurologist's role.

Authors:  Petros Stamatelos; Alexandra Economou; Leonidas Stefanis; George Yannis; Sokratis G Papageorgiou
Journal:  Neurol Sci       Date:  2021-09-28       Impact factor: 3.307

2.  The MMSE should not be the sole indicator of fitness to drive in mild Alzheimer's dementia.

Authors:  D Piersma; A B M Fuermaier; D de Waard; P P De Deyn; R J Davidse; J de Groot; M J A Doumen; R A Bredewoud; R Claesen; A W Lemstra; A Vermeeren; R Ponds; F Verhey; W H Brouwer; O Tucha
Journal:  Acta Neurol Belg       Date:  2018-11-02       Impact factor: 2.396

3.  EEG-Based Neurocognitive Metrics May Predict Simulated and On-Road Driving Performance in Older Drivers.

Authors:  Greg Rupp; Chris Berka; Amir H Meghdadi; Marija Stevanović Karić; Marc Casillas; Stephanie Smith; Theodore Rosenthal; Kevin McShea; Emily Sones; Thomas D Marcotte
Journal:  Front Hum Neurosci       Date:  2019-01-15       Impact factor: 3.169

4.  Evaluation of Error Production in Animal Fluency and Its Relationship to Frontal Tracts in Normal Aging and Mild Alzheimer's Disease: A Combined LDA and Time-Course Analysis Investigation.

Authors:  Yoshihiro Itaguchi; Susana A Castro-Chavira; Knut Waterloo; Stein Harald Johnsen; Claudia Rodríguez-Aranda
Journal:  Front Aging Neurosci       Date:  2022-01-12       Impact factor: 5.750

5.  Deep transfer learning of structural magnetic resonance imaging fused with blood parameters improves brain age prediction.

Authors:  Bingyu Ren; Yingtong Wu; Liumei Huang; Zhiguo Zhang; Bingsheng Huang; Huajie Zhang; Jinting Ma; Bing Li; Xukun Liu; Guangyao Wu; Jian Zhang; Liming Shen; Qiong Liu; Jiazuan Ni
Journal:  Hum Brain Mapp       Date:  2021-12-16       Impact factor: 5.038

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.