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April 19, 2026Equity Neuroscience0 citationsOpen Access

Clinical Characteristics and Predictors of Disease Progression in Parkinson's Disease in a Cohort of patients in the Ashanti Region, Ghana

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VOVida ObeseBNBerrnard NkumJAJohn Akassi

Key Points

  • The study aims to characterize the clinical features of Parkinson's disease in Ghana and identify predictors of advanced disease stages.
  • Conducted a hospital-based cross-sectional study at Komfo Anokye Teaching Hospital in Ghana.
  • Evaluated 161 patients with neurologist-confirmed Parkinson's disease using Hoehn and Yahr staging and MDS-UPDRS assessments.
  • Analyzed data using logistic regression to identify predictors of mid-to-advanced disease.
  • Included socio-demographic and clinical data to evaluate their association with disease progression.
  • 39% of participants were in mid-to-advanced Hoehn and Yahr stages (3-5).
  • Male sex and job loss were significant predictors of advanced disease.
  • Higher income and urinary symptoms were protective against advanced disease.
  • Motor scores were higher in mid-to-advanced stages while non-motor scores were lower.

Abstract

• Data on Parkinson’s disease progression in sub-Saharan Africa are scarce • 161 Ghanaian patients with neurologist-confirmed Parkinson’s disease • 39% of participants were in mid-to-advanced Hoehn 114 males), 98 (60.9%) were in early-stage PD (H p = 0.003) but lower non-motor scores ( p < 0.001). Medication use was universal in mid-to-advanced stages vs 42.9% in early stages ( p = 0.001). Male patients, those who had lost employment due to PD, and those with moderate UPDRS severity were more likely to have mid-to-advanced disease, whereas higher income and urinary symptoms were less likely. Mixes of socio-demographic and clinical features are associated with mid-to-advanced stages of PD among this Ghanaian sample of PD patients. Integrating socioeconomic determinants into prognostic models may enable earlier identification of patients with mid-to-advanced PD and guide targeted interventions such as social support systems to improve their quality of life in resource-limited settings.

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Cite This Study

Obese et al. (2026) studied this question.

synapsesocial.com/papers/69e470e9010ef96374d8d9e4https://doi.org/10.1016/j.neuros.2026.100051
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