Effect of subthalamic nucleus deep brain stimulation on driving in Parkinson disease

Carsten Buhmann, MD Lea Maintz Jonas Hierling Eik Vettorazzi Christian K.E. Moll, MD Andreas K. Engel, MD Christian Gerloff, MD Wolfgang Hamel, MD Wolfgang H. Zangemeister, MD

Correspondence to Priv.-Doz. Dr. Buhmann: [email protected]

ABSTRACT

Objective: To examine the influence of subthalamic nucleus (STN) deep brain stimulation (DBS) on driving in patients with Parkinson disease (PD).

Methods: Using a driving simulator setup proven to reflect on-road driving, 2 main analyses were performed: 1) comparison of driving performance among 23 patients with deep brain surgery (DBS patients), 21 patients without surgery (no-DBS patients), and 21 controls; and 2) analysis of the effect of stimulation vs levodopa on driving performance. To this end, 3 tests were run in the medicated DBS patient cohort, with 3 different conditions: “stimulation on” (STIM) (equated to daily treatment), “stimulation off” (OFF), and “stimulation off/levodopa” (LD) (dosage aimed at maintaining motor status). Differences in driving times and errors among conditions were analyzed. Results: Age and cognitive deficits influenced driving performance negatively. The no-DBS patient group performed worse in driving time and driving errors than controls. DBS patients drove slower than controls and no-DBS patients. Driving safety was comparable to controls but higher than in no-DBS patients. Within the DBS patient group, driving was more accurate with STIM than with LD, although motor effects did not differ. Driving with STIM, but not with LD, was superior to driving in the OFF condition. Conclusion: DBS of the STN seems to have a beneficial effect on driving ability in patients with PD, potentially because of nonmotor driving-relevant aspects. Our data suggest that driving permission for DBS-treated patients with PD should not be handled more restrictively than permissions for patients with PD in general.

Classification of evidence: This study provides Class IV evidence that STN-DBS in patients with PD is associated with a reduction in driving errors and improvements in driving accuracy in driving simulations. Neurology® 2014;82:32–40 GLOSSARY DBS 5 deep brain stimulation; H&Y 5 Hoehn and Yahr; LD 5 levodopa; LED 5 levodopa equivalency dose; PANDA 5 Parkinson Neuropsychometric Dementia Assessment; PD 5 Parkinson disease; STN 5 subthalamic nucleus; UPDRS 5 Unified Parkinson’s Disease Rating Scale.

Patients with Parkinson disease (PD) drive less safely1,2 and cease driving more often than controls.3 However, a standard clinical battery to predict driving performance does not exist, and driving ability in PD should be evaluated individually on the basis of cognitive, visual, and motor measures.4 It is unknown whether deep brain simulation (DBS) of the subthalamic nucleus (STN) affects driving. On the one hand, DBS might enhance driving ability with improvement of motor performance and quality of life.5 On the other hand, STN-DBS might hamper driving because it potentially induces a decline of executive functions6,7 and possibly alters impulse control.8 The first objective of this study was to compare the driving simulator performance of patients with PD with STN-DBS surgery (DBS patients), patients with PD who have not had surgery (no-DBS patients), and controls. In a second step, the treatment effect of stimulation (STIM) vs Supplemental data at www.neurology.org From the Departments of Neurology (C.B., L.M., J.H., C.G., W.H.Z.), Medical Biometry and Epidemiology (E.V.), Neurophysiology and Pathophysiology (C.K.E.M., A.K.E.), and Neurosurgery (W.H.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany. Go to Neurology.org for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article. 32

© 2013 American Academy of Neurology

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

levodopa (LD) on driving ability was evaluated in the group of DBS patients. Furthermore, we investigated the influence of the characteristics age, cognition, driving experience, disease severity, disease duration, LD equivalency dose (LED), and duration of stimulation on driving ability in the patients with PD. We hypothesized no negative but a potentially beneficial effect of DBS on driving in patients with PD. METHODS Subjects. Subject groups (23 DBS patients, 21 no-DBS patients, and 21 controls) were matched for age, sex, cognition, and driving experience (table 1). All subjects held a valid driving license and were classified as experienced drivers if they had driven a car at least once a week for more than 30 minutes within the last 3 years. In all subjects, visual field was unimpaired, visual acuity was $0.9, and Mini-Mental State Examination9 score was $26 of 30. Disease severity was classified according to Hoehn and Yahr (H&Y) staging. In the DBS group, additionally the Parkinson Neuropsychometric Dementia Assessment (PANDA)10 score had to be $15 of 30 and disease severity was also classified according to the Unified Parkinson’s Disease Rating Scale (UPDRS), parts III and IV.11 Patients were recruited from our outpatient clinic.

Standard protocol approvals, registrations, and patient consents. Written informed consent was obtained from all

Table 1

subjects, and the study was approved by the local ethics committee of the Medical Council Hamburg (trial number PV3557).

Primary research questions and level of evidence. First, we investigated the influence of patient characteristics on driving performance for all of the patients with PD (ALL) and separately for the DBS group. Second, we compared the driving ability among the DBS patients, no-DBS patients, and controls. Both PD patient groups were examined in the morning during motor “on” condition and with their normal “everyday” treatment, which was medication and stimulation in the DBS group and medication in the no-DBS group. Third, we examined the effect of STIM vs LD on the driving ability of the DBS patients (Class IV). Driving simulator. The driver cockpit mimicked an average automatic car. Different driving situations were simulated via a color beamer display (figure e-1 on the Neurology® Web site at www. neurology.org). Simulator hardware and software (SimuTech, Bremen, Germany) fulfill criteria of European Union guideline 2003/59/EG for driver qualification law training. The faceLAB GazeTracker system (version 4.54, 2009) was used to present and record data (steering, indicator, and accelerator/brake signals). Parameters were analyzed with the software tool INTERACT and DataView (version V2.4, 2010; Mangold International GmbH, Arnstorf, Germany). Paradigm and experimental setup. After verbal instruction, patients practiced for 5 minutes driving in a virtual carpark. Controls and no-DBS patients underwent one regular test run, DBS patients were monitored in 3 fixed sequenced test runs under

Subject characteristics of controls and the no-DBS and DBS patient groups Controls (n 5 21)

No-DBS (n 5 21)

DBS (n 5 23)

p Values

Age, y

61.4 6 5.2

63.6 6 10.0

62.2 6 8.0

0.67a

Male, n (%)

17 (81)

17 (81)

19 (82)

0.93b

Experienced drivers, n (%)

15 (71)

14 (67)

16 (70)

1.0b

Disease duration, y

NA

6.0 6 5.0

14.0 6 5.1

,0.001a

Duration of stimulation, mo

NA

NA

18.2 6 18.0

NA

LED, mg

NA

647 6 412

778 6 400

Levodopa, %

NA

57.1

91.3

,0.01c

Dopamine agonists, %

NA

76.2

65.2

0.43c

MAO-B inhibitors, %

NA

42.9

13.0

0.03c

COMT inhibitors, %

NA

23.8

52.2

0.054c

Amantadine, %

NA

33.3

9.0

0.04c

Anticholinergics, %

NA

10.0

9.0

0.92c

H&Y score

NA

1.9 6 0.5

3.0 6 0.8

,0.001d

Total UPDRS (I–IV) score

NA

NA

32.5 6 14.2

NA

UPDRS III score

NA

NA

15.4 6 1.8

NA

PANDA score

NA

NA

20.9 6 4.0

NA

MMSE score

28.9 6 0.8

28.7 6 1.2

28.1 6 1.3

0.29a

0.12a

Abbreviations: COMT 5 catechol-O-methyltransferase; DBS 5 deep brain stimulation; H&Y 5 Hoehn and Yahr; LED 5 levodopa equivalency dose; MAO-B 5 monoamine oxidase B; MMSE 5 Mini-Mental State Examination; NA 5 not applicable; PANDA 5 Parkinson Neuropsychometric Dementia Assessment; UPDRS 5 Unified Parkinson’s Disease Rating Scale. Values are mean 6 SD unless otherwise indicated. Between-group differences are given with p values. a Analysis of variance. b Fisher exact test. c 2 x test. d Median test. Neurology 82

January 7, 2014

33

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

Table 2

Comparison of driving performance of controls and the no-DBS and DBS patient groups p Values (ANCOVA)

Controls (n 5 21)

No-DBS (n 5 21)

DBS (n 5 23)

p Values (ANOVA)

158.8 6 42.3

199.0 6 77.6

252.3 6 64.5

,0.001, F2,62 5 12.14

0.02

46.7 6 41.6

86.0 6 71.8

64.8 6 47.7

,0.076, F2,62 5 2.69

0.19

4.5 6 2.7

6.5 6 4.7

2.7 6 1.4

,0.001, F2,62 5 7.98

0.001

11.3 6 6.0

18.0 6 8.5

10.7 6 5.1

,0.001, F2,62 5 7.73

0.002

7.5 6 3.8

11.4 6 5.0

3.8 6 1.7

,0.001, F2,62 5 23.04

3.0 6 2.9

4.4 6 4.4

5.0 6 3.8

,0.20, F2,62 5 1.63

0.70

1.0 6 1.4

2.1 6 2.0

1.9 6 2.1

,0.11, F2,62 5 2.29

0.90

0

0

0.04 6 0.2

,0.41, F2,62 5 0.91

0.37

16.3 6 13.8

25.6 6 13.8

19.5 6 11.2

,0.040, F2,62 5 3.39

0.17

Driving times, s Total p 5 0.043a p 5 0.007b p < 0.001c Inaccurate a

p 5 0.043 NSb NSc Errors

Rate (per min) p 5 0.043a p < 0.001b NS (p 5 0.06)c No. a

p 5 0.002

p < 0.001b NSc Slight

,0.001

a

p 5 0.001

p < 0.001b p 5 0.043c Moderate a

NS

NSb NSc Severe p 5 0.046a NSb NSc Very severe a

NS

NSb NSc Sum score (errors) a

p 5 0.044 NSb NSc

Abbreviations: ANCOVA 5 analysis of covariance; ANOVA 5 analysis of variance; DBS 5 deep brain stimulation; NS 5 not significant. ANOVA with post hoc analysis (least significant difference) was applied. Driving performance measures are expressed as means 6 SD. The p values are adjusted for disease duration and severity according to Hoehn and Yahr staging for comparison between both Parkinson disease patient groups (ANCOVA). a Comparison of controls and no-DBS patients. b Comparison of no-DBS patients and DBS patients. c Comparison of controls and DBS patients.

34

Neurology 82

January 7, 2014

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

Figure 1

Comparison of driving performance among patients with Parkinson disease with and without DBS and controls

speed. All-day traffic situations including driving key conditions13 were simulated. Driving errors were defined according to an official driving instructor handbook14 and reviewed by a professional driving instructor. The number of driving errors was counted, and error severity was categorized from slight to very severe (table e-1). We analyzed total and inaccurate driving time, error number, error rate (number per time), error severity, and sum score of errors (reflecting quality and quantity of errors by considering error number and severity, with 1 point for a slight, 2 points for a moderate, 3 points for a severe, and 4 points for a very severe driving error).

Statistical procedures. The influence of patient characteristics on driving parameters was estimated by Spearman rank correlation or x2 test. Between-group comparisons of subject characteristics were performed with analysis of variance, median test, x2 test, or Fisher exact test (table 1). Between-group differences in driving times and errors were calculated by analysis of covariance with post hoc analysis and adjustment for disease severity and duration. Within the DBS group, a mixed-model analysis was used to investigate the influence of the treatment condition (STIM, OFF, or LD) on driving parameters. In this model, we allowed unequal variances within the different conditions. UPDRS III score was included as covariate into the mixed model to adjust for potential confounding due to individual motor score differences between conditions. The model was furthermore adjusted for the treatment condition–related factor tremor and for treatment-unrelated patient characteristics proven to influence driving ability (age, PANDA score). Because our study was exploratory, no correction of statistical significance for multiple testing was performed to avoid inflating type II errors and thus missing real differences.15–18

RESULTS Baseline characteristics. Baseline characteristics are detailed in table 1. DBS patients had longer disease duration and were more severely affected according to H&Y stage than no-DBS patients. Daily mean LED was comparable in both PD patient groups.

Driving performance was compared among patients with Parkinson disease with deep brain stimulation (PD-DBS), patients without DBS (PD–no DBS), and controls (CON). (A) Values (mean 6 SD) for total and inaccurate driving time in seconds. (B) Values (mean 6 SD) of total number of errors; error rate (errors/min); number of slight, moderate, and severe errors; and sum score of errors. The latter parameter includes quality and quantity of errors with 1 point for a slight, 2 points for a moderate, 3 points for a severe, and 4 points for a very severe driving error. ns 5 not significant.

3 different treatment conditions: 1) “STIM,” with chronic stimulation switched on, 2) “OFF,” with stimulation switched off, and 3) “LD,” with stimulation switched off and after administration of soluble LD (Madopar LT; Roche Products Ltd., Hertfordshire, UK). LD was given in a 1.5-fold dosage of individual normal LED12 (mean 165 6 49 mg) to compensate for off-stimulation and to reach clinical motor “on” status comparable to condition STIM. In each condition, a realistic and demanding urban test course of 1.7 km was presented with a randomized sequence of the sceneries. Stimulation was switched off immediately after test run 1; 30 minutes later, test run 2 started. After test run 2, Madopar LT was given and test run 3 started another 30 minutes later. Before test run 1, UPDRS parts I to IV were evaluated. Directly before test runs 2 and 3, UPDRS III and presence of dyskinesia (yes/no) were rated. To reach a balanced speed-accuracy trade-off, patients were instructed to complete the given test course as fast as they could without sacrificing accuracy. Accuracy was favored over

Influence of PD patient characteristics on driving performance. Investigation was done for all patients

with PD (ALL) and separately for patients undergoing DBS (see table e-2 for detailed statistics). Age influenced driving performance negatively with an increase of inaccurate driving time, error number, moderate errors, and error sum score in both, ALL and DBS patients, an increase of error rate in the DBS patient group, and an increase of severe errors in ALL patients. Regression analysis yielded an estimated increase of 0.3 (p , 0.05) in error number and 0.7 (p , 0.05) in error sum score per year of participant’s life in the DBS patient group. Higher Mini-Mental State Examination scores correlated with shorter inaccurate driving time (ALL patients: rs 5 20.32, p 5 0.033) and higher PANDA scores correlated with fewer slight errors (DBS patients: rs 5 20.41, p 5 0.050). Experienced DBS drivers drove faster (driving time 231.6 vs 299.4 seconds, p 5 0.02) but apart from that, driving experience had no significant influence on any other driving parameter in ALL or DBS patients. Higher disease severity according to H&Y stage was significantly associated with a longer total Neurology 82

January 7, 2014

35

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

Table 3

Differential effects of treatment conditions STIM, OFF, and LD on driving performance within the DBS patient group p Values, mixed models

Condition

UPDRS III, points

1 STIM

2 OFF

3 LD

1 vs 2

2 vs 3

1 vs 3

15.39 6 1.80

24.52 6 1.32

15.57 6 1.06

,0.001

,0.001

0.92

15.33 6 2.36

24.47 6 1.75

15.50 6 1.88

,0.001

,0.001

0.92

250.79 6 14.92

276.39 6 11.83

258.09 6 12.49

0.13

0.21

0.64

241.67 6 19.30

267.77 6 14.49

248.93 6 16.82

0.14

0.20

0.65

Driving times, s Total

63.15 6 10.40

80.77 6 11.01

75.05 6 11.09

0.11

0.62

0.21

55.80 6 13.06

73.85 6 11.42

67.67 6 13.38

0.11

0.59

0.23

Rate, per min

2.82 6 0.33

3.12 6 0.41

3.10 6 0.33

0.38

0.93

0.17

2.49 6 0.49

2.89 6 0.48

2.78 6 0.49

0.27

0.73

0.19

No.

10.96 6 1.16

14.23 6 1.58

12.90 6 1.36

0.02a

0.37

0.03a

9.27 6 1.82

13.02 6 1.79

11.22 6 1.94

0.01a

0.23

0.045a

3.77 6 0.39

5.62 6 0.45

4.69 6 0.40

0.002a

0.10

0.046a

3.57 6 0.69

5.46 6 0.63

4.48 6 0.70

0.002a

0.11

0.048a

5.04 6 0.83

6.80 6 1.01

5.56 6 0.90

0.09

0.24

0.49

Inaccurate

Errors

Slight

Moderate

Severe

Very severe

Sum score of errors

a

3.41 6 1.09

5.57 6 0.97

3.92 6 1.13

0.02

0.10

0.53

1.83 6 0.45

2.33 6 0.57

2.23 6 0.61

0.32

0.87

0.41

2.03 6 0.72

2.40 6 0.72

2.42 6 0.83

0.49

0.98

0.41 a

0.16

0.04 6 0.04

0

0.17 6 0.81

0.33

0.04

0.04 6 0.04

0

0.17 6 0.81

0.33

0.04a

0.16

20.16 6 2.52

24.98 6 3.50

23.69 6 2.99

0.09

0.68

0.044a

17.52 6 4.05

22.91 6 4.04

21.05 6 4.28

0.07

0.55

0.049a

Abbreviations: DBS 5 deep brain stimulation; LD 5 levodopa; OFF 5 stimulation off; SE 5 standard error; STIM 5 stimulation on; UPDRS 5 Unified Parkinson’s Disease Rating Scale. Values are expressed as estimated means 6 SE. For each characteristic, results in the first row of entries are adjusted for UPDRS III score; results in the second row of entries are additionally adjusted for tremor, age, and cognition (Parkinson Neuropsychometric Dementia Assessment [PANDA] score). Although age and PANDA score are treatment condition–unrelated parameters, they influence driving and therefore are included in this second analysis. This adjusted analysis also shows a significant difference for moderate errors between conditions STIM and OFF. a Significant differences.

driving time but lower error rate, error number, and slight errors in ALL patients. H&Y and UPDRS III did not correlate with any driving parameter in DBS patients. Longer disease duration was associated with a lower error rate and lower error number due to fewer slight errors in ALL patients. Total LED (ALL and DBS patients) and duration of stimulation (DBS patients) were not associated with any driving parameter. Between-group comparison (controls, no-DBS patients, DBS patients). Driving performance. Detailed parameters

are given in table 2 and figure 1. Driving time. Total driving time was significantly longer in both PD patient groups than in controls and significantly longer in DBS than in no-DBS patients. Mean (SD) speed (km/h) was 41.2 6 11.1 36

Neurology 82

in controls, 32.5 6 11.4 in no-DBS patients, and 25.8 6 6.8 in DBS patients. Inaccurate driving time was significantly worse in no-DBS but not in DBS patients compared with controls. Driving errors. Compared with controls, no-DBS patients performed significantly worse in all error categories except “moderate errors.” In contrast, DBS patients did not perform significantly worse than controls in any category, but even significantly better in slight errors and by trend (p 5 0.06) regarding error rate. Compared with no-DBS patients, DBS patients showed a lower rate and number of driving errors, which was highly significant for slight errors. Focused on the error sum score, noDBS patients but not DBS patients performed significantly worse than controls. However, the absolute sum score was also inferior in DBS patients compared with controls, which was related to an insignificant higher rate

January 7, 2014

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

Figure 2

Comparison of treatment effects (STIM, OFF, LD) on driving performance in patients with Parkinson disease with DBS

condition (estimates of fixed effects in the mixed model). Results were heterogeneous with an increase of 1 point on the UPDRS III scale leading to insignificant increases of error rate and number, moderate errors, and error sum score. However, UPDRS III increase led to insignificant decreases of total and inaccurate driving times and slight and severe errors. Tremor and dyskinesias. Although tremor is part of the UPDRS III scale, we investigated its influence on driving as a separate parameter (present yes/no). We included tremor as an adjusted covariate in the mixed model, because it usually immediately reappears when switching off stimulation, often above-average because of a rebound effect. This might dominate and bias short-time changes of the UPDRS III score. Tremor occurred in 3 patients in condition OFF, and dyskinesias in 6 patients in condition LD, without significant influence on any driving parameters. In these 6 patients, the levodopa dose in condition LD did not influence the incidence of dyskinesias (logistic regression, p 5 0.294). Driving performance. The effect of treatment conditions (STIM, OFF, LD) on driving performance is detailed in table 3 and figure 2. We found no differential effect of age and cognition (PANDA) on driving parameters between conditions. Driving time. Total and inaccurate driving times were shortest in STIM and longest in OFF. Duration of total and inaccurate driving time in LD was in between STIM and OFF. No significant difference was found.

Treatment-condition effects (stimulation on [STIM], stimulation off [OFF], and levodopa [LD]) on driving performance were compared in patients with Parkinson disease with deep brain stimulation (DBS). (A) Values (mean 6 standard error [SE]) for total and inaccurate driving time in seconds. (B) Values (mean 6 SE) of total number of errors; error rate (errors/min); number of slight, moderate, and severe errors; and sum score of errors. The latter parameter includes quality and quantity of errors with 1 point for a slight, 2 points for a moderate, 3 points for a severe, and 4 points for a very severe driving error. ns 5 not significant.

of moderate and severe driving errors. Superior sumscore values in DBS patients compared with no-DBS patients did not reach statistical significance. All conclusions remain identical after adjustment for patient group differences in disease duration and H&Y stage (analysis of covariance). Within-group comparison of treatment condition effects (STIM, OFF, LD) in DBS patients. Motor performance.

Mean UPDRS III in conditions STIM and LD was almost identical and significantly lower than in condition OFF (table 3). This indicates a comparable motor function in test runs STIM and LD. To estimate the influence of motor performance on driving, we calculated the effect of changes in UPDRS III score on driving parameters independently of the

Driving errors. Error rate, error number, slight and moderate errors, and sum score of errors were lowest in STIM and highest in OFF with all parameters in LD found to be in between STIM and OFF. Severe driving errors were made once in one patient in STIM, not at all in OFF, and once by 4 patients in LD, without statistical difference. Condition (STIM, OFF, LD) showed a significant influence on error number, slight errors, and error sum score. In detail, in STIM vs OFF, driving performance was significantly better regarding error number and slight errors and by trend for moderate errors (p 5 0.09) and sum score (p 5 0.09). Furthermore, in STIM vs LD, patients performed significantly superior regarding error number, slight errors, and sum score. No differences were found in driving errors between LD and OFF. Patients in STIM not only drove less inaccurately but also more homogeneously compared with OFF and (less distinctive) LD. For error sum score, the estimated variance of residual covariance parameters was 2.4 for STIM, 122.5 for OFF, and 58.7 for LD. The high group performance inhomogeneity in OFF explains the marginally missed significance for error sum-score difference in STIM vs OFF in Neurology 82

January 7, 2014

37

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

contrast to STIM vs LD, despite a higher mean sumscore error in OFF vs the LD condition. DISCUSSION Our data support the hypothesis that DBS has no negative but rather a beneficial effect on driving in patients with PD. Driving not only was superior in even more clinically affected DBS compared with no-DBS patients but also DBS patients drove better with stimulation than with levodopa. This might reflect favorable driving-relevant nonmotor effects due to STN-DBS. The driving simulator setting allows faithful replication of the experimental road condition across participants, in contrast to on-road settings.13 We presented key safety traffic situations13 such as “turning at street crossings,” “holding lane line,” “passing a roundabout,” “following give way sign,” or “attending to traffic lights.” Performance reflects real-life driving ability19 and is suitable to monitor on-road driving impairments in patients with PD.2 Driving time (speed) in the free-flowing traffic and driving errors are approved safety-related parameters in traffic simulation models.20 The sum score weights for the quality of driving errors and accounts for highfrequency/low-severity and low-frequency/high-severity errors. This is meaningful for determining crash risk in PD, because especially the latter errors lead to car crashes.13 Our data are consistent with prior investigations describing impaired simulator driving in medicated patients with PD compared with controls1,21 and investigations reporting that age and lower cognition scores have a negative impact on driving in PD.1,22–24 Slower but more accurate driving in patients with higher H&Y stages is in line with prior findings of inconsistent influence of motor impairment on driving in PD.22,24,25 In contrast to others,2 we found that patients with a longer disease history drive more accurately, potentially as a result of more careful driving. Unlike driving speed, driving safety was not higher in experienced drivers, which is in accordance with the findings of a previous study.24 Following others, and using the total annual mileage,26 or a minimum annual mileage of 3,000 km as parameter for driving experience, did not change the results. As expected, controls had a higher annual mileage than patients with PD (details in table e-3). Unexpectedly, DBS patients and controls drove comparably well. The driving course was demanding but short and patients reported lower annual mileage. Driving of longer distances might be worse in patients because of problems with sustained attention. Therefore, the present results might be limited to shorter driving distances, such as inner-city or neighborhood driving. Further studies should address long-distance driving. 38

Neurology 82

Sleep attacks as a potential cause of unsafe driving in PD27 were excluded by analyzing faceLAB GazeTracker data. LED and percentage of dopamine agonist use as risk factors for daytime sleepiness28,29 were comparable in both patient groups. Disease duration as further risk factor was even higher in the betterperforming DBS patient group. To compare stimulation and levodopa effects on driving, levodopa had to compensate for the lost clinical effect after switching off stimulation, on the basis of identical underlying medication. We did not intend to reach “worst-off” stimulation or “best-on” levodopa condition. However, mean UPDRS III score was significantly worse 30 minutes after switching off stimulation because the main clinical effect is usually lost fast, within 200 seconds, and in comparably diseased patients, the half-life of following slow stimulation washout phase is approximately 6 to 7 minutes for bradykinesia.30 Furthermore, mean UPDRS III score was significantly better 30 minutes after levodopa intake and, as intended, comparable to the initial UPDRS score under stimulation. This seems plausible, because tmax plasma levels have been found 60.0 6 45.6 minutes after Madopar LT intake in patients with PD, comparable to ours.31 However, in our study, tmax likely was reached earlier because we used a 1.65-fold higher mean Madopar LT dosage and excluded a preceding albuminous meal. To avoid learning effects favoring levodopa, sequences of otherwise identical sceneries within the test runs were randomized. Running of tests on different days was avoided to eliminate unreliable comparison of treatment effects (STIM, OFF, LD) due to intraindividual and unpredictable daily variability of symptoms. To prevent exhaustion penalizing levodopa, the investigation time was kept as short as possible considering the stimulation washout and levodopa absorption times discussed above. Total driving times on average were less than 5 minutes and exceeded 6 minutes only once (423 seconds in condition LD). Worse driving with LD compared with STIM might be partly explained by the inverted U-shape relationship between dopamine and cognition and related to a dopamine overdosage in corticostriatal circuits beyond motor loops with negative effects on learning.32 Also, inferior driving caused by LDinduced impulsivity33 is conceivable. Compatibly, we found a severe driving error once in 4 patients in condition LD but only once in one patient in condition STIM and none in condition OFF. DBS might positively influence driving-relevant nonmotor skills. Impairments of sequence and implicit procedural learning,34 planning and sequencing,35 and information updating36 probably reduce driving ability in patients with PD. STN-DBS selectively improves implicit procedural learning, possibly by altering basal

January 7, 2014

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

ganglia output to the frontal cortex.37 Concordant with our results, sequence learning has been described to be superior with STN stimulation “on” compared with stimulation “off” and compared with sequence learning after levodopa infusion titrated to motor response equivalent to stimulation.38 Furthermore, STN stimulation improves goal-directed action selection39 and decision learning,40 both of which are cognitive skills crucial in driving a car. In conclusion, regaining a better driving ability in PD might be one aspect of improved quality of life with DBS in comparison to medical treatment alone. Based on our data, we suggest handling driving permission for DBS-treated patients with PD not more restrictively than permissions for patients with PD in general.

6.

7.

8.

9.

10.

11. AUTHOR CONTRIBUTIONS Drafting/revising the manuscript for content, including medical writing for content: C.B., E.V., C.K.E.M., A.K.E., C.G., W.H. Study concept or design: C.B., W.H.Z. Analysis or interpretation of data: C.B., E.V., L.M., J.H., W.H.Z. Acquisition of data: C.B., L.M., J.H., W.H. Statistical analysis: C.B., E.V. Study supervision or coordination: C.B., W.H.Z. Obtaining funding: C.B., W.H.Z.

12.

ACKNOWLEDGMENT The authors thank Thomas Wriedt for rating driving errors and configurating the driving simulator device.

13.

STUDY FUNDING

14.

Supported by the Georg & Jürgen Rickertsen Stiftung Hamburg.

DISCLOSURE C. Buhmann received study research support from the Georg & Jürgen Rickertsen Stiftung Hamburg. PD Dr. C. Buhmann served on the scientific advisory board for GSK and UCB Pharma and received honoraria for lectures from GSK, Medtronic, Orion Pharma, and UCB. L. Maintz, J. Hierling, E. Vettorazzi, and C.K.E. Moll report no disclosures. A.K. Engel acknowledges support of the German Research Foundation (DFG SFB 936) and the European Union (EU) (FP7-ICT-270212, ERC-2010-AdG269716). C. Gerloff is supported by the German Research Foundation (DFG Ge 844/4-1, SFB 936) and the EU (FP7-HEALTH-2011278276). W. Hamel reports no disclosures. W.H. Zangemeister received study research support from the Georg & Jürgen Rickertsen Stiftung Hamburg. Go to Neurology.org for full disclosures.

15. 16. 17. 18. 19. 20.

Received April 17, 2013. Accepted in final form September 23, 2013.

REFERENCES 1. Uc EY, Rizzo M, Johnson AM, Dastrup E, Anderson SW, Dawson JD. Road safety in drivers with Parkinson disease. Neurology 2009;73:2112–2119. 2. Wood JM, Worringham C, Kerr G, Mallon K, Silburn P. Quantitative assessment of driving performance in Parkinson’s disease. J Neurol Neurosurg Psychiatry 2005;76: 176–180. 3. Uc EY, Rizzo M, Johnson AM, et al. Real-life driving outcomes in Parkinson disease. Neurology 2011;76:1894–1902. 4. Crizzle AM, Classen S, Uc EY. Parkinson disease and driving: an evidence-based review. Neurology 2012;79:2067–2074. 5. Deuschl G, Schade-Brittinger C, Krack P, et al. A randomized trial of deep-brain stimulation for Parkinson’s disease. N Engl J Med 2006;355:896–908.

21.

22. 23.

24.

25.

Parsons TD, Rogers SA, Braaten AJ, Woods SP, Troster AI. Cognitive sequelae of subthalamic nucleus deep brain stimulation in Parkinson’s disease: a meta-analysis. Lancet Neurol 2006;5:578–588. Witt K, Daniels C, Reiff J, et al. Neuropsychological and psychiatric changes after deep brain stimulation for Parkinson’s disease: a randomised, multicentre study. Lancet Neurol 2008;7:605–614. Cavanagh JF, Wiecki TV, Cohen MX, et al. Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nat Neurosci 2011;14:1462–1467. Folstein MF, Folstein SE, McHugh PR. “Mini-Mental State”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189–198. Kalbe E, Calabrese P, Kohn N, et al. Screening for cognitive deficits in Parkinson’s disease with the Parkinson Neuropsychometric Dementia Assessment (PANDA) instrument. Parkinsonism Relat Disord 2008;14:93–101. Fahn S, Elton RL; Members of the UPDRS Development Committee. Unified Parkinson’s Disease Rating Scale. In: Fahn S, Marsden CD, Calne DB, Goldstein M, editors. Recent Developments in Parkinson’s Disease. Florham Park, NJ: Macmillan Health Care Information; 1987: 153–164. Tomlinson CL, Stowe R, Patel S, Rick C, Gray R, Clarke CE. Systematic review of levodopa dose equivalency reporting in Parkinson’s disease. Mov Disord 2010;25:2649–2653. Rizzo M, Uc EY, Dawson J, Anderson S, Rodnitzky R. Driving difficulties in Parkinson’s disease. Mov Disord 2010;25(suppl 1):136–140. Bundesministerium für Verkehr, Innovation und Technologie [Federal Ministry of Transport, Innovation and Technology], editor. Handbuch für die Praktische Fahrprüfung [Handbook of practical driving test], 3rd revised ed. Wien: 2008. Perneger TV. What’s wrong with Bonferroni adjustments. BMJ 1998;316:1236–1238. Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology 1990;1:43–46. Bender R, Lange S. Adjusting for multiple testing: when and how? J Clin Epidemiol 2001;54:343–349. Bland JM, Altman DG. Multiple significance tests: the Bonferroni method. BMJ 1995;310:170. Uitti RJ. Parkinson’s disease and issues related to driving. Parkinsonism Relat Disord 2009;15(suppl 3):122–125. Bonsall P, Liu R, Young W. Modelling safety-related driving behaviour: impact of parameter values. Transportation Res 2005;39:425–444. Madeley P, Hulley JL, Wildgust H, Mindham RH. Parkinson’s disease and driving ability. J Neurol Neurosurg Psychiatry 1990;53:580–582. Dubinsky RM, Gray C, Husted D, et al. Driving in Parkinson’s disease. Neurology 1991;41:517–520. Worringham CJ, Wood JM, Kerr GK, Silburn PA. Predictors of driving assessment outcome in Parkinson’s disease. Mov Disord 2006;21:230–235. Singh R, Pentland B, Hunter J, Provan F. Parkinson’s disease and driving ability. J Neurol Neurosurg Psychiatry 2007;78:363–366. Heikkila VM, Turkka J, Korpelainen J, Kallanranta T, Summala H. Decreased driving ability in people with Parkinson’s disease. J Neurol Neurosurg Psychiatry 1998;64: 325–330.

Neurology 82

January 7, 2014

39

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

26.

27.

28.

29.

30.

31.

32.

33.

Uc EY, Rizzo M, Anderson SW, Sparks J, Rodnitzky RL, Dawson JD. Impaired visual search in drivers with Parkinson’s disease. Ann Neurol 2006;60:407–413. Meindorfner C, Korner Y, Moller JC, Stiasny-Kolster K, Oertel WH, Kruger HP. Driving in Parkinson’s disease: mobility, accidents, and sudden onset of sleep at the wheel. Mov Disord 2005;20:832–842. Razmy A, Lang AE, Shapiro CM. Predictors of impaired daytime sleep and wakefulness in patients with Parkinson disease treated with older (ergot) vs newer (nonergot) dopamine agonists. Arch Neurol 2004;61:97–102. Paus S, Brecht HM, Koster J, Seeger G, Klockgether T, Wullner U. Sleep attacks, daytime sleepiness, and dopamine agonists in Parkinson’s disease. Mov Disord 2003;18:659–667. Cooper SE, McIntyre CC, Fernandez HH, Vitek JL. Association of deep brain stimulation washout effects with Parkinson disease duration. JAMA Neurol 2013;70:95–99. Woitalla D, Goetze O, Kim JI, et al. Levodopa availability improves with progression of Parkinson’s disease. J Neurol 2006;253:1221–1226. Cools R, Barker RA, Sahakian BJ, Robbins TW. Enhanced or impaired cognitive function in Parkinson’s disease as a function of dopaminergic medication and task demands. Cereb Cortex 2001;11:1136–1143. Weintraub D, Koester J, Potenza MN, et al. Impulse control disorders in Parkinson disease: a cross-sectional study of 3090 patients. Arch Neurol 2010;67:589–595.

34.

35. 36.

37.

38.

39.

40.

Jahanshahi M, Wilkinson L, Gahir H, Dharmarinda A, Lagnado DA. Medication impairs probabilistic classification learning in Parkinson’s disease. Neuropsychologia 2010;48:1096–1103. Schrag A. Driving in Parkinson’s disease. J Neurol Neurosurg Psychiatry 2005;76:159. Ranchet M, Paire-Ficout L, Marin-Lamellet C, Laurent B, Broussolle E. Impaired updating ability in drivers with Parkinson’s disease. J Neurol Neurosurg Psychiatry 2011; 82:218–223. Wilkinson L, Beigi M, Lagnado DA, Jahanshahi M. Deep brain stimulation of the subthalamic nucleus selectively improves learning of weakly associated cue combinations during probabilistic classification learning in Parkinson’s disease. Neuropsychology 2011;25:286–294. Mure H, Tang CC, Argyelan M, et al. Improved sequence learning with subthalamic nucleus deep brain stimulation: evidence for treatment-specific network modulation. J Neurosci 2012;32:2804–2813. Wylie SA, Ridderinkhof KR, Elias WJ, et al. Subthalamic nucleus stimulation influences expression and suppression of impulsive behaviour in Parkinson’s disease. Brain 2010; 133(pt 12):3611–3624. van Wouwe NC, Ridderinkhof KR, van den Wildenberg WP, et al. Deep brain stimulation of the subthalamic nucleus improves reward-based decision-learning in Parkinson’s disease. Front Hum Neurosci 2011;5:30.

You’re Committed to Continually Expanding Your Knowledge NeuroSAE™ is committed to helping you. The Sixth Edition of the AAN’s convenient online selfassessment examination is now available, featuring 150 questions and 8 self-assessment CME credits upon successful completion to help meet ABPN MOC requirements. See all the available NeuroSAE versions and purchase the exam today at AAN.com/view/neuroSAE.

Do You Know What is Happening to Neurology on Capitol Hill? Congress is making decisions that affect neurologic research funding and the way neurology is practiced in the United States. Only Capitol Hill Report on AAN.com takes you behind Washington’s closed doors and shines a light on how your federal legislators are working for—or against—your interests. Read Capitol Hill Report on AAN.com the second and fourth Monday of each month. Stay informed. Your work depends on it.

40

Neurology 82

January 7, 2014

ª"NFSJDBO"DBEFNZPG/FVSPMPHZ6OBVUIPSJ[FESFQSPEVDUJPOPGUIJTBSUJDMFJTQSPIJCJUFE

Effect of subthalamic nucleus deep brain stimulation on driving in Parkinson disease Carsten Buhmann, Lea Maintz, Jonas Hierling, et al. Neurology 2014;82;32-40 Published Online before print December 18, 2013 DOI 10.1212/01.wnl.0000438223.17976.fb This information is current as of December 18, 2013 Updated Information & Services

including high resolution figures, can be found at: http://www.neurology.org/content/82/1/32.full.html

Supplementary Material

Supplementary material can be found at: http://www.neurology.org/content/suppl/2013/12/18/01.wnl.000043822 3.17976.fb.DC1.html

References

This article cites 38 articles, 15 of which you can access for free at: http://www.neurology.org/content/82/1/32.full.html##ref-list-1

Subspecialty Collections

This article, along with others on similar topics, appears in the following collection(s): Parkinson's disease/Parkinsonism http://www.neurology.org//cgi/collection/parkinsons_disease_parkinso nism Surgery/Stimulation http://www.neurology.org//cgi/collection/surgery-stimulation

Permissions & Licensing

Information about reproducing this article in parts (figures,tables) or in its entirety can be found online at: http://www.neurology.org/misc/about.xhtml#permissions

Reprints

Information about ordering reprints can be found online: http://www.neurology.org/misc/addir.xhtml#reprintsus

Neurology ® is the official journal of the American Academy of Neurology. Published continuously since 1951, it is now a weekly with 48 issues per year. Copyright © 2013 American Academy of Neurology. All rights reserved. Print ISSN: 0028-3878. Online ISSN: 1526-632X.

Effect of subthalamic nucleus deep brain stimulation on driving in Parkinson disease.

To examine the influence of subthalamic nucleus (STN) deep brain stimulation (DBS) on driving in patients with Parkinson disease (PD)...
416KB Sizes 0 Downloads 0 Views