Programming Algorithm for the Management of Speech Impairment in Subthalamic Nucleus Deep Brain Stimulation for Parkinson's Disease.

OBJECTIVES: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) for Parkinson's disease (PD) has an ambiguous relation to speech. Speech impairment can be a stimulation-induced side effect, and parkinsonian dysarthria can improve with STN-DBS. Owing to the lack of an up-to-date and evidence-based approach, DBS reprogramming for speech impairment is largely blind and greatly relies on the physician's experience. In this study, we aimed to establish an evidence- and experience-based algorithm for managing speech impairment in patients with PD treated with STN-DBS. MATERIALS AND METHODS: We performed a single-center retrospective study to identify patients with STN-DBS and speech impairment. Onset of speech impairment, lead localization, and assessment of DBS-induced nature of speech impairment were collected. When DBS settings were adjusted for improving speech, the magnitude and duration of effect were collected. We also performed a systematic literature review to identify studies describing the effects of parameter adjustments aimed at improving speech impairment in patients with PD receiving STN-DBS. RESULTS: In the retrospective study, 245 of 631 patients (38.8%) with STN-DBS had significant speech impairment. The probability of sustained marked improvement upon reprogramming was generally low (27.9%). In the systematic review, 23 of 662 identified studies were included. Only two randomized controlled trials have been performed, providing evidence for interleaving-interlink stimulation only. Considerable methodologic heterogeneity precluded the conduction of a meta-analysis. CONCLUSIONS: Speech impairment in STN-DBS for PD is frequent, but high-quality evidence regarding DBS parameter adjustments is scarce, and the probability of sustained improvement is low. To improve this outcome, we propose an evidence- and experience-based approach to address speech impairment in STN-DBS that can be used in clinical practice.

Microdiscectomy for sciatica: reality check study of long-term surgical treatment effects of a Lumbosacral radicular syndrome (LSRS).

PURPOSE: It remains unclear whether the long-term results of RCTs regarding the outcome of microdiscectomy for lumbosacral radicular syndrome (LSRS) are generalizable. The purpose of this study was to determine the external validity of the outcome preseneted in RCTs after microdicectomy for LSRS in a patient cohort from a high-volume spine center. METHODS: Between 2007 and 2010, 539 patients had a single level microdiscectomy for MRI disk-related LSRS of whom 246 agreed to participate. Questionnaires included visual analogue scores (VAS) for leg pain, RDQ, OLBD, RAND-36 and Likert scores for recovery, leg and back pain. Lumbar re-operation(s) were registered. RESULTS: Mean age was 51.3, and median time of follow-up was 8.0 years. Re-operation occurred in 64 (26%) patients. Unfavorable perceived recovery was noted in 85 (35%) patients, and they had worse leg and back pain than the 161 (65%) patients with a favorable recovery: median VAS for leg pain 28/100 mm versus 2/100 mm and median VAS for back pain 9/100 mm versus 3/100 mm, respectively. In addition, the median RDQ and OLBD scores differed significantly: 9 vs 3 for RDQ and 26 vs 4 for OLBD, respectively (p < 0.001). CONCLUSION: In this cohort study, the long-term results after microdiscectomy for LSRS were less favorable than those obtained in RCTs, possibly caused by less strict patient selection than in RCTs. Our findings emphasize that patients, who do not meet the same inclusion criteria for surgery as in RCTs, should be informed about the chances of a less favorable result.

New actigraph for long-term tremor recording.

A new method of movement analysis is validated, allowing an actigraph to discriminate tremor from other movements and store duration and intensity measures of both movement types. For algorithm optimization, wrist acceleration was recorded in nine controls and nine Parkinson's disease patients, while simultaneously rating their observed tremor minute by minute on item 20 of the Unified Parkinson's Disease Rating Scale. An optimization procedure to minimize false positives in controls while maximizing tremor detection in patients resulted in false positive tremor classification in 2.4% +/- 2.5% of the movement time of control subjects (range, 0%-7%), while providing tremor classification in 82.1% +/- 15.4% of the movement time in patients (range, 55%-100%), correlating r = 0.93 with their averaged observed tremor score. A second, generalizability study showed that application of the optimized algorithm resulted in accurate classification of 71% +/- 14% of the observed tremor time (range, 46%-90%) in another 9 patients and in a false positive classification in only 0.5% +/- 0.8% of the time in another 10 controls (range, 0%-2.4%). The commercial availability of this actigraph now for the first time makes it possible to investigate tremor fluctuations over several weeks. An example is given of how long-term monitoring can be of use in evaluation of symptom management.