The goal of this clinical trial is to learn whether a new smell test works as well as the standard clinical smell test, if there is a link between sense of smell and variations in the retina, and if these results could be used as a way to identify early stages of Alzheimer's disease. The main questions it aims to answer are: * Whether the test is as effective and reliable as the standard test * Whether there is a link between the results of the smell test and the structure of the back of the eye Participants will: * complete a short questionnaire * have pictures of the inside of their eyes taken * perform two smell tests
Study Type
OBSERVATIONAL
Enrollment
20
ScentAware is a smell test
UPSIT is a smell test
University of Wisconsin
Madison, Wisconsin, United States
Compare test scores of ScentAware olfactory test to the scores of the University of Pennsylvania Smell Identification Test (UPSIT) olfactory test in a clinical setting
Performance of ScentAware and UPSIT odor identification score will be performed using Receiver Operating Characteristic (ROC) Curve analysis. Area under the ROC curve (AUC) will be used to determine diagnostic accuracy. An AUC ranges from 0 to 1. Higher AUC values indicate better sensitivity.
Time frame: Baseline
Compare ScentAware test results conducted with support from clinical staff to the test results when ScentAware test was self-administered independently
Performance of ScentAware and UPSIT odor identification score will be performed using Receiver Operating Characteristic (ROC) Curve analysis. Area under the ROC curve (AUC) will be used to determine diagnostic accuracy. An AUC ranges from 0 to 1. Higher AUC values indicate better sensitivity.
Time frame: One month post baseline
Compare UPSIT test results conducted with support from clinical staff to the test results when ScentAware test was self-administered independently
Performance of ScentAware and UPSIT odor identification score will be performed using Receiver Operating Characteristic (ROC) Curve analysis. Area under the ROC curve (AUC) will be used to determine diagnostic accuracy. An AUC ranges from 0 to 1. Higher AUC values indicate better sensitivity.
Time frame: One month post baseline
Compare baseline ScentAware test scores between cohorts
Time frame: Baseline
Compare baseline UPSIT test scores between cohorts
Time frame: Baseline
Compare baseline ScentAware test scores to the retinal nerve fiber layer (RNFL) thickness
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Time frame: Baseline
Compare baseline UPSIT test scores to the retinal nerve fiber layer (RNFL) thickness
Time frame: Baseline
Compare baseline ScentAware test scores to the ganglion cell layer (GCL) thickness
Time frame: Baseline
Compare baseline UPSIT test scores to the ganglion cell layer (GCL) thickness
Time frame: Baseline