Improvement of medical judgments by numerical training in patients with multiple sclerosis.

BACKGROUND AND PURPOSE: People with multiple sclerosis (MS) have to face important decisions with regard to their medical treatment. The aim of this study was to evaluate whether a targeted cognitive training reduces framing effects and thus improves medical judgments. METHODS: This was a randomized, double-blind, cross-over study enrolling patients with relapsing-remitting MS and healthy controls (HCs). Participants were randomly assigned to training order A (first week, numerical training; second week, control training) or B (reverse order). The primary endpoint was changed in a framing task score (framing effect). In the framing task, participants evaluated the success of fictive medications on a 7-point scale. Medications were described in either positive or negative terms. RESULTS: A total of 37 patients and 73 HCs performed either training order A (n = 56) or B (n = 54). The framing effect decreased after the numerical training regardless of training order. No such decrease was found after the control training. Mean change in framing effect was -0.3 ± 0.8 after the numerical training and 0.03 ± 0.6 after the control training. This specific effect of training type was comparable between groups. CONCLUSION: Judgments of medical information improve in both patients with relapsing-remitting MS and HCs after a targeted numerical training. Thus, a specific cognitive intervention may help patients making informed decisions.

Modafinil for the treatment of daytime sleepiness in Parkinson's disease: a double-blind, randomized, crossover, placebo-controlled polygraphic trial.

OBJECTIVES: To assess the therapeutic efficacy of modafinil in the treatment of increased daytime sleepiness in patients with Parkinson's disease (PD). DESIGN: Double-blind, randomized, placebo-controlled crossover study with two 2-week treatment blocks, separated by a 2-week washout phase. SETTING: Tertiary Parkinson's disease care center and sleep laboratory at university hospital neurology department. PATIENTS: Fifteen patients with idiopathic PD and daytime sleepiness (Epworth sleepiness score (ESS) 10 or more). INTERVENTIONS: Administration of placebo or modafinil as a single morning dose in a randomized crossover order. The modafinil dose was 100 mg in the first, and 200 mg in the second treatment week. MEASUREMENTS AND RESULTS: At baseline and at the end of each treatment block, sleepiness was evaluated using subjective (perceived sleepiness with the ESS) and objective measures (maintenance of wakefulness test). Twelve patients completed the study (9 male, 3 female; mean age 65.0 +/- 7.6 years, mean disease duration 6.8 +/- 4.1 years). Epworth scores were significantly improved with modafinil (3.42 +/- 3.90) compared to placebo (0.83 +/- 1.99; p = 0.011). Latency to sleep in the maintenance of wakefulness test was not significantly altered by modafinil treatment: 10.9 (3-40)/15.1 (2.5-40) minutes before/after placebo and 12 (2.6-40)/17.8 (4.2-40) minutes before/after modafinil (p = 0.139) [data given as mean +/- standard deviation or median (range)]. CONCLUSIONS: The results of this study suggest that modafinil improves daytime sleepiness in PD patients, at least on a subjective or behavioral level. Modafinil treatment may be considered for EDS in PD patients, in whom otherwise treatable causes of Excessive Daytime Sleepiness (EDS) are absent.

Autonomic instability, as measured by pupillary unrest, is not associated with multiple sclerosis fatigue severity.

Multiple sclerosis (MS) fatigue is one of the most common symptoms in MS, but its pathophysiology is still not understood Sympathovagal imbalance was suggested as a reason for fatigue in chronic fatigue syndrome. We examined the role of an imbalance in the central autonomic nervous system (ANS) as a cause of MS fatigue in 51 MS patients and a control group of 22 healthy volunteers. Fatigue was assessed with the revised MS Fatigue Severity Scale (FSS) and the Modified Fatigue Impact Scale (MFIS). Depression was evaluated with the Beck Depression Inventory (BDI). Disintegration of the central ANS expressed by pupillary fatigue waves was measured with pupillography and documented in the pupillary unrest index (PUI). All subjects had less than five points on the seven-point Stanford Sleepiness Scale and were therefore not sleepy. MS patients had significant higher mean FSS scores (p=0.001) and mean MFIS scores (p=0.003) than our control group. Mean BDI scores were significant higher (p=0.001) in the MS group, but were in the lowest score range (0-10 points) in both groups. Surprisingly, we found a statistically significant inverse correlation between PUI values and either FSS scores (p=0.001; r=-0.521) or MFIS scores (p=0.002; r=-0.423) in the MS group, but not in healthy participants. We therefore conclude that autonomic instability, as measured by pupillary unrest is not associated with MS fatigue severity.