Katholieke Universiteit Leuven DETERMINANTS OF DRIVING AFTER STROKE - PowerPoint PPT Presentation

1 / 18
About This Presentation
Title:

Katholieke Universiteit Leuven DETERMINANTS OF DRIVING AFTER STROKE

Description:

... driving after stroke (Sundet et al, 1995 Mazer et al, 1998 and Lundqvist et al, 2000) ... assessments (Galski et al, 1990 Mazer et al, 1998 and Schanke ... – PowerPoint PPT presentation

Number of Views:51
Avg rating:3.0/5.0
Slides: 19
Provided by: emmanuela
Category:

less

Transcript and Presenter's Notes

Title: Katholieke Universiteit Leuven DETERMINANTS OF DRIVING AFTER STROKE


1
Katholieke Universiteit LeuvenDETERMINANTS OF
DRIVING AFTER STROKE
  • Akinwuntan AE1, Feys H1, De Weerdt W1,
    Pauwels J1, Baten G2, Strypstein E2
  • 1Department of Rehabilitation Sciences,
    Katholieke Universiteit Leuven, Belgium

    2Belgian Institute for Road Safety,
    Brussels, Belgium

a.e. akinwuntan, Aspen 2001
2
Introduction
  • Stroke is a major cause of disability in the
    United States especially in the elderly (Duncan
    et al,1992)
  • Primary stroke incidence in Britain about 2 per
    1000 population a year (Bramford et al, 1988)
  • Stroke incidence in Belgium estimated at 2.62 per
    1000 population annually (Van Casteren et al,1988)

a.e. akinwuntan, Aspen 2001
3
  • Brain injured persons including stroke patients
    wish to resume driving after the incidence
  • Motor, visual, cognitive and perceptual
    difficulties affect driving after stroke (Sundet
    et al, 1995 Mazer et al, 1998 and Lundqvist et
    al, 2000)
  • Driving potential of stroke patients can be
    determined following predriving assessments
    (Quigley De Lisa 1983 and Nouri et al,1987)

a.e. akinwuntan, Aspen 2001
4
  • Studies on prediction of driving ability from
    results of the predriving assessments (Galski et
    al, 1990 Mazer et al, 1998 and Schanke Sundet
    2000)
  • Purpose of this study

    To identify the combination of variables which
    best predict the decision of driving ability in
    stroke patients in Belgium

a.e. akinwuntan, Aspen 2001
5
Methods
  • Design Retrospective study of a two-year
    predriving evaluation
  • Setting Belgian Institute for Road Safety,
    Brussels, Belgium
  • Subjects History of first stroke, possessed
    valid driving license and driving prior to stroke
    onset

a.e. akinwuntan, Aspen 2001
6
  • Subject number 104 subjects included
  • age 56.8 11.9, m/w 82/22, s.o.l 45 (r)
    59 (l) driv. exp. 35yrs, onset-exam. int
    1.5yrs
  • Measures
  • General medical parameters
  • Visual tests
  • Neuropsychological tests
  • On the road test

a.e. akinwuntan, Aspen 2001
7
  • Main outcome measure
  • The suitability to resume driving
  • based on a group decision
  • Class 1 Suitable to drive
  • Class 2 Not immediately suitable to drive
  • Class 3 Not suitable to drive

a.e. akinwuntan, Aspen 2001
8
Results
  • Comparison between classes (Chi-square,
    Kruskal Wallis, or ANOVA plt0.05)
  • Most general parameters (p 0.05 to 0.0006)
  • All tests of visual test battery (p
    0.008 to lt0.0001)
  • Most tests of neuropsychological test (p 0.04 to
    lt0.0001)
  • The on the road test (p-value 0.0001)

a.e. akinwuntan, Aspen 2001
9

Further comparison (Tukey/Kramer plt0.05,
Wilcoxon Rank Sum with
Bonferroni correction Plt0.0167)
  • Age, driving experience, onset-predriving exam
    and neuropsychological tests 1,2?3
  • Most visual tests 1 ? 3
  • On the road test 1 ? 2 ? 3

Class 1 Suitable to driveClass 2 Not
immediately suitable to driveClass 3 Not
suitable to drive
a.e. akinwuntan, Aspen 2001
10
a.e. akinwuntan, Aspen 2001
11
Correlation between variables and group decision
(Spearman rank correlation plt0.05)
  • Most parameters and tests had significant
    correlation with group decision
  • General parameters -0.24 ? rslt -0.36
  • Visual tests 0.29? rslt 0.43
  • Neuropsychological tests 0.29? rslt0.43
  • The on the road test rs -0.67

a.e. akinwuntan, Aspen 2001
12
Determination of variable combination with most
accurate prediction (Logistic regression plt0.05)
  • Variable p-value Odds ratio
  • Side of Lesion 0.02 0.29
  • Kinetic vision 0.01 2.25
  • Visual scanning 0.04 0.85
  • On the road test (5 units) lt0.0001 2.02
  • N93, R20.53

a.e. akinwuntan, Aspen 2001
13
Age, driving experience, onset-predriving exam
and neuropsychological tests 1,2?3
a.e. akinwuntan, Aspen 2001
14
Determination of variable combination with most
accurate prediction (Logistic regression plt0.05)
  • Variable p-value Odds ratio
  • Side of Lesion 0.02 0.29
  • Kinetic vision 0.01 2.25
  • Visual scanning 0.04 0.85
  • On the road test (5 units) lt0.0001 2.02
  • N93, R20.53

a.e. akinwuntan, Aspen 2001
15
Discussion
  • Visual and neuropsychological abilities are
    important in driving after stroke
  • The on the road test accounted for most of the
    variance
  • Combination of variables agree with other studies
    on driving after stroke
  • Croft and Jones, 1987
    Galski et al, 1990
    Sundet et al, 1995

a.e. akinwuntan, Aspen 2001
16
Conclusion
  • Predictive accuracy of the group decision was
    moderate (R20.53)
  • More closely road related test to be included in
    the predriving assessment was suggested

a.e. akinwuntan, Aspen 2001
17
Reflection
  • Poor compensation may have affected driving
    performance
  • Levels of cognitive driving heirachy
    (Michon,1979 1989)

  • Operational
  • Tactical
  • Strategic
  • A training program for subjects in class 2 (Not
    immediately suitable to drive) could be
    considered

a.e. akinwuntan, Aspen 2001
18
Thank You
  • by

    Abiodun Emmanuel Akinwuntan

a.e. akinwuntan, Aspen 2001
Write a Comment
User Comments (0)
About PowerShow.com