Abstract
Background: Orthostatic tremor (OT) and orthostatic myoclonus (OM) are rare weight-bearing hyperkinetic disorders defined electrophysiologically but often overlap clinically. Prior studies were limited to small series with little assessment of comorbidities, functional outcomes, or treatments. The Longitudinal Orthostatic Tremor Study (LOTS) was initiated to address these gaps through multidimensional phenotyping.
Methods: Baseline data from 58 consecutively identified patients with OT or OM at a tertiary neurology center in India were analyzed. Clinical evaluation, surface electromyography (sEMG), neuroimaging, and comorbidity screening were performed. Severity was assessed with the OT-10 scale, functional status with the Orthostatic Tremor Impact Profile (OTIP), and quality of life with the 36-item Short Form Health Survey (SF-36). Variables were organized into five analytical domains—demographics, phenomenology, comorbidities, functional outcomes, and treatments—and compared across OT vs OM, primary vs secondary OT, and high- vs low-frequency OT.
Results: Fifty-two patients had OT (89.7%) and six had OM (10.3%). Demographics were broadly similar, though age was associated with high-frequency OT (P = .012). Phenomenological features overlapped, with twitching linked to secondary OT (P = .022). Dementia, polyneuropathy, and diabetes were more common in OM and secondary OT (P < .05). Functional outcomes were comparable, except for higher pain scores in secondary OT (P = .026). Clonazepam was most prescribed; other agents showed inconsistent associations.
Discussion: Baseline LOTS findings show broad overlap across diagnostic domains, indicating that sEMG-based labels alone do not capture heterogeneity. Multidimensional approaches, including Disease burden index and latent class analysis, may refine classification and guide individualized management.
Highlights
This study presents the first structured multidimensional phenotyping of orthostatic tremor and orthostatic myoclonus, integrating clinical, electrophysiological, comorbidity, functional, and treatment domains. Findings demonstrate diagnostic overlap and support multidimensional approaches for refining classification and guiding individualized management across orthostatic hyperkinetic syndromes.