BACKGROUND: Selective olfactory deficits occur in 70% to 90% of patients with Parkinson disease, independent of disease severity and duration. Olfactory testing may be a useful diagnostic aid for Parkinson disease, but the types of odors most commonly affected need to be identified. OBJECTIVE: To determine the pattern and types of odors affected in Parkinson disease by means of the University of Pennsylvania 12-item Brief Smell Identification Test (B-SIT; Sensonics, Inc, Haddon Heights, NJ). DESIGN: Testing patients with Parkinson disease and control subjects in 5 movement disorder clinics. PARTICIPANTS: Forty-nine nondemented patients with Parkinson disease and 52 age- and sex-matched controls. MAIN OUTCOME MEASURES: Normal or abnormal olfactory function was determined in each subject according to predetermined age and sex norms. Predictive statistics and discriminant function analyses were performed to determine the pattern and types of odors best discriminating patients from controls. RESULTS: Abnormal olfactory function was present in 40 (82%) of patients compared with 12 (23%) of controls. The B-SIT score was unaffected by smoking behavior, disease duration, or severity. The sensitivity of the B-SIT for Parkinson disease was 0.82, with a specificity and predictive value of 0.82 and 0.77, respectively. Only 5 of the 12 B-SIT odors (gasoline, banana, pineapple, smoke, and cinnamon) were required to adequately discriminate patients with Parkinson disease from controls. CONCLUSIONS: With the use of the B-SIT, 5 specific odors appear primarily affected in patients with Parkinson disease. Significantly, the ability of patients to detect some odors was unimpaired compared with that of controls. Better diagnostic aids could be developed on the basis of the selective pattern of hyposmia observed in Parkinson disease.
BACKGROUND: Selective olfactory deficits occur in 70% to 90% of patients with Parkinson disease, independent of disease severity and duration. Olfactory testing may be a useful diagnostic aid for Parkinson disease, but the types of odors most commonly affected need to be identified. OBJECTIVE: To determine the pattern and types of odors affected in Parkinson disease by means of the University of Pennsylvania 12-item Brief Smell Identification Test (B-SIT; Sensonics, Inc, Haddon Heights, NJ). DESIGN: Testing patients with Parkinson disease and control subjects in 5 movement disorder clinics. PARTICIPANTS: Forty-nine nondemented patients with Parkinson disease and 52 age- and sex-matched controls. MAIN OUTCOME MEASURES: Normal or abnormal olfactory function was determined in each subject according to predetermined age and sex norms. Predictive statistics and discriminant function analyses were performed to determine the pattern and types of odors best discriminating patients from controls. RESULTS: Abnormal olfactory function was present in 40 (82%) of patients compared with 12 (23%) of controls. The B-SIT score was unaffected by smoking behavior, disease duration, or severity. The sensitivity of the B-SIT for Parkinson disease was 0.82, with a specificity and predictive value of 0.82 and 0.77, respectively. Only 5 of the 12 B-SIT odors (gasoline, banana, pineapple, smoke, and cinnamon) were required to adequately discriminate patients with Parkinson disease from controls. CONCLUSIONS: With the use of the B-SIT, 5 specific odors appear primarily affected in patients with Parkinson disease. Significantly, the ability of patients to detect some odors was unimpaired compared with that of controls. Better diagnostic aids could be developed on the basis of the selective pattern of hyposmia observed in Parkinson disease.
Authors: Matthew R Woodward; Muhammad Ubaid Hafeez; Qianya Qi; Ahmed Riaz; Ralph H B Benedict; Li Yan; Kinga Szigeti Journal: Am J Geriatr Psychiatry Date: 2018-04-19 Impact factor: 4.105
Authors: Mun Kyung Sunwoo; Jungho Cha; Jee Hyun Ham; Sook K Song; Jin Yong Hong; Jong-Min Lee; Young H Sohn; Phil Hyu Lee Journal: Hum Brain Mapp Date: 2014-12-30 Impact factor: 5.038
Authors: W S Layman; D P McEwen; L A Beyer; S R Lalani; S D Fernbach; E Oh; A Swaroop; C C Hegg; Y Raphael; J R Martens; D M Martin Journal: Hum Mol Genet Date: 2009-03-11 Impact factor: 6.150