The wrong end of the telescope: neuromuscular mimics of movement disorders (and vice versa).

The rapid advances in modern neurology have led to increased specialisation in clinical practice. Being an expert in a neurology subspecialty offers advantages for diagnosing and managing specific disorders. However, specialisation also risks tunnel vision: interpreting symptoms and signs within one's own framework of reference, while ignoring differential diagnostic options from other subspecialties. This is particularly relevant when the patient's presentation potentially belongs to different neurological subspecialties. We illustrate this challenge by highlighting a series of clinical features that partially overlap between two common subspecialties: movement disorders and neuromuscular disorders. An overlap in clinical presentation is not rare, and includes, for example, involuntary eyelid closure (which could be active eye closure due to blepharospasm, or ptosis due to weakness). Other overlapping features include abnormal postures, involuntary movements and gait changes. We describe two of these overlapping features in more detail and emphasise the possible consequences of 'looking through the wrong end of the telescope' in such patients, as this may lead to a wrong differential diagnosis, unnecessary investigations and a delayed treatment start.

Ancillary investigations to diagnose parkinsonism: a prospective clinical study.

Various ancillary investigations can assist clinicians in the differential diagnosis of patients with parkinsonism. It is unknown which test offers greatest diagnostic value in clinical practice. We included 156 consecutive patients with parkinsonism, but with an initially uncertain diagnosis. At baseline, all patients underwent extensive clinical testing and the following ancillary investigations: brain magnetic resonance imaging (MRI); (123)I-iodobenzamide single photon-emission computed tomography (IBZM-SPECT); analysis of cerebrospinal fluid (CSF); and anal sphincter electromyography (EMG). The final diagnosis was established after 3-year follow-up by two movement disorder specialists, according to international consensus criteria. We determined the diagnostic value by comparing the baseline clinical parameters and ancillary studies with the final diagnosis. Out of a potential 138 parameters, univariate analysis identified 35 parameters that discriminated Parkinson's disease (PD, n = 62) and atypical parkinsonism (AP, n = 94), with AUC of 0.55-0.81. Stepwise logistic regression showed that the combination of tandem gait, axial UPDRS subscore, slow saccadic eye movements and dysphagia yielded an AUC of 0.93, adjusted for optimism. The combination of tandem gait and axial UDPRS subscore yielded an AUC of 0.90. None of the ancillary investigations alone or in combination with clinical testing improved this clinically based diagnostic accuracy, not even in a subgroup of patients with the greatest diagnostic uncertainty at baseline. Our study demonstrates that a comprehensive set of clinical tests provides good accuracy to differentiate PD from AP. Our results also suggest that routine MRI, IBZM-SPECT, CSF analysis and anal sphincter EMG do not improve this diagnostic accuracy. Future work should evaluate the possible diagnostic value of more advanced diagnostic tests.

CSF α-synuclein does not differentiate between parkinsonian disorders.

Differentiating between Parkinson's disease (PD) and atypical Parkinsonism (AP) is clinically relevant but challenging. A timely and correct diagnosis might result in better targeted treatment strategies, adequate patient counseling, and early recognition of disease-specific complications. We aimed to investigate whether cerebrospinal fluid (CSF) concentrations of α-synuclein are of additional diagnostic value. We examined 142 consecutive patients with parkinsonism, mean disease duration 39.7 mo (Parkinson's disease (PD), n = 58; MSA, n = 47; dementia with Lewy bodies (DLB), n = 3; VaP, n = 22; progressive supranuclear palsy (PSP), n = 10; CBD, n = 2). Gold standard was the clinical diagnosis established after 2 years of clinical follow-up. CSF concentrations of α-synuclein, blood pigments and the erythrocyte count were determined. No differences between CSF α-synuclein concentrations of patients with PD with the reference values from our laboratory were observed. We neither found significant differences between patients with PD and AP nor between AP subgroups. Adjustment for age, disease severity or presence of erythrocytes or blood pigments in CSF did not alter these results. Our results imply that CSF α-synuclein is currently unsuitable as biomarker to differentiate between PD and AP.

Cerebrospinal fluid tau and phosphorylated tau protein are elevated in corticobasal syndrome.

Differentiating corticobasal syndrome (CBS) from progressive supranuclear palsy (PSP) and idiopathic Parkinson's disease (PD) can be difficult. To investigate the additional value of cerebrospinal fluid (CSF) biomarkers in the diagnostic differentiation of parkinsonism, we analyzed the CSF concentrations of total protein, lactate and brain specific proteins amyloid-ß(42) protein, tau protein (t-tau), and tau protein phosphorylated at Thr181 (p-tau), in CSF samples from patients with PSP (n = 21), CBS (n = 12), and PD (n = 28). CBS patients demonstrated higher concentrations of t-tau and p-tau compared with PSP and PD patients. In discriminating CBS and PD, t-tau offered the best combination of sensitivity (75%) and specificity (90.9%), followed by p-tau (sensitivity 87.5% and specificity 75%). The p-tau/t-tau ratio resulted in sensitivity of 84.2% and specificity of 66.7% in discriminating PSP and CBS. In conclusion, our results suggest that CSF parameters are of additional value in the diagnostic differentiation of CBS and PD.

Is heart rate variability related to gait impairment in patients with Parkinson's disease? A pilot study.

BACKGROUND AND PURPOSE: Impairments in gait and autonomic function are common in patients with Parkinson's disease (PD). These are likely independent symptoms, based on different etiologic mechanisms. However, a few recent reports have observed an association between motor function, in particular gait impairment, and autonomic function in PD. In those studies, the Unified Parkinson's Disease Rating Scale (UPDRS) was used to evaluate gait and motor function. The present study was performed to further examine this putative relationship using quantitative measures of autonomic function and gait in order to shed light on the underlying pathophysiology of these symptoms. METHODS: Nine healthy young, 15 healthy elderly and 18 PD patients were studied. Heart rate variability (HRV) measures were collected during rest. Gait speed, swing time and swing time variability were measured during a 1-min walk at comfortable speed. The motor portion of the UPDRS was also evaluated in all subjects. RESULTS: HRV values were highest in the young adults, intermediate in the healthy elderly controls, and lowest in the PD patients. Gait measures tended to deteriorate with age and were significantly worse in the PD patients, compared to the elderly controls. HRV was not correlated with any measure of gait performance (p>0.129) nor with the UPDRS-motor score (p>0.147). DISCUSSION AND CONCLUSIONS: The present findings support the idea that gait and autonomic function impairments co-exist in PD, but their etiology is based on distinct pathophysiological pathways, with minimal overlap.