Serial olfactory testing for the diagnosis of prodromal Parkinson's disease in the PARS study.

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olfactory, diagnosis, prodromal, Parkinson, Background:, Parkinson, Associated, screening

The Parkinson Associated Risk Syndrome study was designed to evaluate whether screening with olfactory testing and dopamine transporter imaging could identify participants at risk for developing Parkinson's disease.

Hyposmia, a reduced ability to smell odors, has been associated with increased risk of Parkinson disease, but, taken alone, lacks specificity. The scientists in a new publication evaluated whether repeating olfactory testing improves the diagnostic characteristics of this screening approach.

The participants that they included in their study completed up to 10 years of clinical and imaging evaluations in the PARS cohort. Olfaction was assessed with the University of Pennsylvania Smell Identification Test at baseline and on average 1.4 years later. Multiple logistic regression and Cox proportional hazards regression were used to estimate the hazard of development of clinical Parkinson disease or abnormal DAT imaging.

DAT scan (Dopamine Transporter Scan) commonly refers to a diagnostic method to investigate if there is a loss of dopaminergic neurons in striatum.

Of 186 studied patients who were initially hyposmic, 28% reverted to normosmia on repeat testing. No initially normosmic subjects and only 2% of reverters developed DAT imaging progression or clinical Parkinson disease, compared to 29% of subjects with persistent hyposmia who developed abnormal DAT and 20% who developed clinical Parkinson disease. The relative risk of clinical conversion to Parkinson disease was 8.3 and of abnormal DAT scan was 12.5 for persistent hyposmia, compared to reversion.

Persistent hyposmia on serial olfactory testing significantly increases the risk of developing clinical Parkinson disease and abnormal DAT imaging, compared to hyposmia on a single test. Repeat olfactory testing may be an efficient and cost-effective strategy to improve identification of at-risk patients for early diagnosis and disease modification studies.

Read the original article on Pubmed


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