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What is the accuracy of the clinical diagnosis of multiple system atrophy?
A clinicopathologic study.
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BACKGROUND: The presentation of symptoms for multiple system atrophy (MSA)
varies.
Because there are no specific markers for its clinical diagnosis, the
diagnosis rests on the results of the neuropathologic examination.

Despite several clinicopathologic studies, the diagnostic accuracy for MSA
is unknown.
OBJECTIVES: To determine the accuracy for the clinical diagnosis of MSA and
to identify, as early as possible, those features that would best predict
MSA.

DESIGN: One hundred five autopsy-confirmed cases of MSA and related
disorders (MSA [n=16], non-MSA [n=89]) were presented as clinical vignettes
to 6 neurologists (raters) who were unaware of the study design.

Raters identified the main clinical features and provided a diagnosis based
on descriptions of the patients' first and last clinic visits.

METHODS: Interrater reliability was evaluated with the use of kappa
statistics.

Raters' diagnoses and those of the primary neurologists (who followed up
the patients) were compared with the autopsy-confirmed diagnoses to
estimate the sensitivity and positive predictive values at the patients'
first and last visits.

Logistic regression analysis was used to determine the best predictors to
diagnose MSA.
RESULTS: For the first visit (median, 42 months after the onset of
symptoms), the raters' sensitivity (median, 56%; range, 50%-69%) and
positive predictive values (median, 76%; range, 61%-91%) for the clinical
diagnosis of MSA were not optimal.

For the last visit (74 months after the onset of symptoms), the raters'
sensitivity (median, 69%; range, 56%-94%) and positive predictive values
(median, 80%; range, 77%-92%) improved.

Primary neurologists correctly identified 25% and 50% of the patients with
MSA at the first and last visits, respectively.

False-negative and -positive misdiagnoses frequently occurred in patients
with Parkinson disease and progressive supranuclear palsy.

Early severe autonomic failure, absence of cognitive impairment, early
cerebellar symptoms, and early gait disturbances were identified as the
best predictive features to diagnose MSA.

CONCLUSIONS: The low sensitivity for the clinical diagnosis of MSA,
particularly among neurologists who followed up these patients in the
tertiary centers, suggests that this disorder is underdiagnosed.

The misdiagnosis of MSA is usually due to its confusion with Parkinson
disease or progressive supranuclear palsy, thus compromising the research
on all 3 disorders.


Arch Neurol 1997 Aug;54(8):937-944
Litvan I, Goetz CG, Jankovic J, Wenning GK, Booth V, Bartko JJ, McKee A,
Jellinger K, Lai EC, Brandel JP, Verny M, Chaudhuri KR, Pearce RK, Agid Y
Neuroepidemiology Branch, National Institute of Neurological Disorders and
Stroke, National Institutes of Health, Bethesda, MD 20814-3559, USA.
PMID: 9267967, MUID: 97411854
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