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Journal of Neurology Neurosurgery & Psychiatry· 1992Q1

Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.

Andrew Hughes, S. E. Daniel, Linda Kilford, Andrew J. Lees

Short summary

A clinico-pathological study of 100 Parkinson's disease diagnoses found that only 76% were accurate, with misdiagnoses including progressive supranuclear palsy and multiple system atrophy. Applying stricter diagnostic criteria retrospectively improved accuracy to 82%.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Only 76 out of 100 patients diagnosed with idiopathic Parkinson's disease showed the presence of nigral Lewy bodies.
  • Misdiagnosed cases (24%) included progressive supranuclear palsy, multiple system atrophy, Alzheimer's disease, and vascular disease.
  • Retrospective application of diagnostic criteria improved diagnostic accuracy to 82%.
  • The findings challenge the notion of Parkinson's disease as a single, distinct morbid entity.

AI-generated from the title and abstract; the full text is not read.

Abstract

Few detailed clinico-pathological correlations of Parkinson's disease have been published. The pathological findings in 100 patients diagnosed prospectively by a group of consultant neurologists as having idiopathic Parkinson's disease are reported. Seventy six had nigral Lewy bodies, and in all of these Lewy bodies were also found in the cerebral cortex. In 24 cases without Lewy bodies, diagnoses included progressive supranuclear palsy, multiple system atrophy, Alzheimer's disease, Alzheimer-type pathology, and basal ganglia vascular disease. The retrospective application of recommended diagnostic criteria improved the diagnostic accuracy to 82%. These observations call into question current concepts of Parkinson's disease as a single distinct morbid entity.

The authors' abstract, as published at the source. Journal of Neurology Neurosurgery & Psychiatry, 1992 · DOI ↗

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Field: Neurology (Medicine)

NeurologyMedicine