Literature DB >> 33850896

Development of Chinese odor identification test.

Baihan Su1, Dawei Wu1, Yongxiang Wei1,2.   

Abstract

BACKGROUND: Olfactory dysfunction significantly reduces quality of life, with a prevalence as high as 20% in the general adult population. Odor identification (OI) tests are culturally dependent and widely used in clinical and epidemiological evaluations of olfaction. We aimed to develop a Chinese odor identification test (COIT) based on the Sniffin' Sticks identification test.
METHODS: Patients (n=60) with olfactory disorders and healthy controls (n=404) were recruited in the Smell and Taste Center of a tertiary-care university hospital. Unfamiliar odors in the Sniffin' Sticks identification test were replaced to create a 16-item COIT, which was validated with a simplified Chinese version of the Cross-culture Smell Identification Test (CC-SIT) and Sniffin' Sticks. A test-retest reliability of COIT was also conducted.
RESULTS: Six odors with a correct recognition rate <75% were replaced with familiar odors for Chinese. The COIT score significantly correlated with both Sniffin' Sticks (r=0.755 P<0.0001) and CC-SIT score (r=0.7462 P<0.0001). Based on the testing results of an additional 120 subjects, we concluded that scores of 12-16, 7-11, and 0-6 corresponded to normosmia, hyposmia, and anosmia, respectively. The 3-month test-retest-reliability coefficient was as high as 0.83.
CONCLUSIONS: The COIT is an effective tool for assessing olfactory function in the Chinese population. 2021 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Chinese cultural version; Odor identification test; reliability; validity

Year:  2021        PMID: 33850896      PMCID: PMC8039711          DOI: 10.21037/atm-21-913

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

Olfaction is the oldest sensory function of human beings and is essential to human survival (1). The olfactory system not only enables humans to perceive their environment, but also plays an important role in social interaction (2-4) and food intake (5). Therefore, decreased olfactory function can lead to a decline in quality of life (6,7), and even depression (8,9). Olfactory dysfunction is mainly result from chronic sinonasal diseases, head trauma, upper respiratory infections, and neurodegenerative diseases (10). Studies have shown that olfactory dysfunction is also an early biomarker of certain diseases, such as COVID-19 (11,12) and Alzheimer’s disease (13,14). The current diagnosis and classification of olfactory dysfunction mainly rely on psychophysical olfactory tests that evaluate human olfactory function from three aspects: odor threshold (OT), odor discrimination (OD) and odor identification (OI) (15-18). Based on analysis of these three capabilities, a large number of olfactory function tests have been developed since the 1990s. Olfactory tests that are used worldwide include the Connecticut Chemosensory Clinical Research Center (CCCRC) test (19,20), the University of Pennsylvania Smell Identification Test (UPSIT) (21,22), Sniffin’ sticks (23,24), T&T test (25),Scandinavian Odor-Identification Test (SOIT) (26), San Diego Odor Identification Test (SDOIT) (27), and the Cross-Cultural Smell Identification Test (CC-SIT) which was developed on the basis of UPSIT (28,29). The OI task relies on olfactory detection ability, executive function and semantic memory, which are more cognitively loaded than the OT and OD tests (30,31). Testing OI has been used in clinical settings to diagnose various causes of olfactory disorders and is more sensitive than OT and OD for detecting neurodegenerative diseases, including Parkinson’s and Alzheimer’s diseases (32,33). However, patients often complain that they are not familiar with certain odors, such as cloves, pine resin, raspberry and Japanese cypress, which is related to cultural differences (34). In order to solve this problem for the Chinese, researchers have modified the choice of odors to make the tests more suitable (35-38), but these tests are not widely used in mainland China. Any new olfactory function test should not only consider familiarity with odors but also the ease of use and cost. Too cumbersome and expensive tests will not meet clinical needs in China. Therefore, we developed a Chinese OI test (COIT) based on Sniffin’ sticks and defined the cutoff values of the COIT for diagnosing hyposmia and anosmia in Chinese people. Finally, we tested its reliability and validity in clinical settings in China. We present the following article in accordance with the MDAR checklist (available at http://dx.doi.org/10.21037/atm-21-913).

Methods

Participants

A total of 60 patients with olfactory disorders and 404 people with normal olfactory function were recruited from the Smell and Taste Center of Beijing Anzhen Hospital between 2018 and 2020. Of them, 344 participants (147 women, 197 men; mean age 37.9 years, SD 12.5, range 17–64 years) with normal olfactory function participated in Experiment 1. In Experiment 2, there were 60 people with normal olfactory function (27 women, 33 men; mean age 38.4 years, SD 12.0, range 23–62 years) and 60 patients with olfactory disorders (25 women, 35 men; mean age 45.7 years, SD 15.1, range 19–71 years). The 60 normal volunteers who participated in Experiment 2 also participated in Experiment 3. The patients were diagnosed with olfactory disorders based on medical history, nasal endoscopic examination and Sniffin’ Sticks olfactory test. The sum of scores of the three subtests including odor threshold, discrimination, and identification constitutes the final score of Sniffin’ Sticks test (TDI). TDI <30.5 indicates olfactory disorder (24). All subjects with normal olfactory function had no complaints of olfactory dysfunction and confirmed by Sniffin’ Sticks olfactory test (TDI ≥30.5). The study was approved by the Institutional Review Board of Beijing Anzhen Hospital (No. 2018087X). All procedures performed in this study involving human participants were in accordance with the Declaration of Helsinki (as revised in 2013). Informed consent was taken from all the patients.

Olfactory function test

Two widely used olfactory tests were selected to evaluate the diagnostic efficacy of the COIT. In the CC-SIT developed by the University of Pennsylvania, odorants are microencapsulated on the test paper (28) and the subject uses a pencil to scratch the microcapsule coating to release the odor, which is then selected from four options. The test consists of 12 odorants, with a maximum score of 12. The other test was the Sniffin’ Sticks test, which comprises felt-tip pen-like devices containing the odorants, called “sticks”, and has three parts, namely OT, OD and OI (24). Each part contains 16 questions, with a maximum score of 48. During the test, the lid of the pen was opened and the pen tip placed approximately 2 cm under the subject’s nostrils for 2–3 s. During the OI test, the subject is given an olfactory stick containing the target odor and asked to select the target odor from four options after sniffing. The steps for using COIT are the same as the Sniffin’ Sticks identification test. A choice must be made even if the subject indicates that he cannot smell the odor or cannot accurately identify the target odor (23,24).

Odorants preparation

Odorants used in the COIT were purchased from the Apple Flavor and Fragrance Group (Shanghai, China). Similar to the Sniffin’ Sticks identification test, we dropped 1 mL of each liquid odorant onto a felt-tip pen (Burghart Messtechnik, Wedel, Germany) (23). Only chocolate needed to be diluted with water at a ratio of 1:1 to ensure a similar odor intensity to the other odorants.

Study design

Our study consisted of three experiments. The goal of Experiment 1 was to develop a COIT based on the Sniffin’ Sticks identification test. A total of 344 people with normal olfactory function participated in this experiment, which was divided into two steps. In the first step, we tested the volunteers with the Sniffin’ Sticks and calculated the correct identification rate for each odor. Those with a correct identification rate <75% were to be replaced with odors that are more familiar to Chinese people. In the second step, we tested 12 common Chinese odors on the volunteers and told them the corresponding objects: chocolate, cream, sesame oil, Osmanthus, jasmine, almond, lychee, bacon, green tea, honey, chrysanthemum and tangerine peel. We then asked the volunteers to select the three most familiar odors and rank them. The odors with higher familiarity were used to develop the COIT (26,39). In Experiment 2, we validated the COIT against two most widely used olfactory function tests in the world, the Sniffin’ Sticks (response alternatives translated to simplified Chinese, including OT, OD, and OI) and CC-SIT (simplified Chinese version, 12 items), in a group of 120 participants (60 patients, 60 healthy controls). In addition to the score of each test, we also recorded the time taken for each test. The goal of Experiment 3 was to assess the reliability of the COIT. We retested the 60 normal volunteers who had participated in Experiment 2 with the COIT 3 months after Experiment 2.

Statistical analysis

The Pearson correlation coefficient was applied for correlation analysis of the three olfactory function tests and analysis of the test-retest reliability. The paired t-test was used for analysis of the difference between the two COIT tests separated by 3 months. A receiver operating characteristic (ROC) curve was generated to identify the best cutoff point for diagnosing hyposmia and anosmia. Analyses were performed using SPSS statistical software version 17.0 (IBM, Armonk, NY, USA).

Results

Development of the COIT

In Experiment 1 we selected six odors that can be easily recognized by most Chinese people to replace inappropriate odors in the Sniffin’ sticks identification test. First, we tested 344 normal volunteers with the Sniffin’ sticks OI test and calculated the correct recognition rate of the 16 odors. Of these, the correct recognition rate of six odors was <75%, consisting of Leather (54.65%), Cinnamon (36.63%), Licorice (34.88%), Pine resin (36.63%), Apple (51.74%), and Clove (42.44%) (, ). We replaced these odors and kept the other 10 odors to develop COIT. In step 2, the volunteers selected 3 of 12 most familiar odors, which we ranked according to their familiarity (e.g., 51.74% of volunteers chose chocolate). The top six odors were chocolate (51.74%), cream (27.33%), sesame oil (49.42%), Osmanthus (29.65%), jasmine (33.14%) and almond (28.49%). These 6 new odors and the remaining 10 odors from the Sniffin’ Sticks identification test constituted the COIT.
Table 1

Odor items in the Sniffin’ Sticks identification test and the Chinese odor identification test and their correct recognition rates

NumberSniffin’ sticks identification testChinese odor identification test
Odor, optionsCorrect recognition rating, %Odor, optionsCorrect recognition rating, %
1Orange*, strawberry, blackberries, pineapple93.02Orange*, strawberry, blackberries, pineapple100
2#Smoke, leather*, glue, grass54.65Juice, oil paint, sesame oil*, vinegar98.33
3#Honey, chocolate, vanilla, cinnamon*36.63Camphor, chocolate*, bread, cinnamon91.67
4Green onion, Chinese fir, mint*, onion87.79Green onion, Chinese fir, mint*, onion86.67
5Coconut, walnut, banana*, cherry88.95Coconut, walnut, banana*, cherry76.67
6Peach, lemon*, apple, pomelo85.47Peach, lemon*, apple, pomelo86.67
7#Licorice*, spearmint, cherry, biscuit34.88Osmanthus*, beer, strawberry, biscuit96.67
8#Mustard, menthol, rubber, pine resin*36.63Mustard, cream*, sauerkraut, chocolate88.33
9Onion, garlic*, pickle, carrot93.60Onion, garlic*, pickle, carrot95.00
10Tobacco, wine, coffee*, smoke90.70Tobacco, wine, coffee*, smoke86.67
11#Melon, orange, peach, apple*51.74Jasmine*, wood, pepper, rose90.00
12#Clove*, cinnamon, pepper, mustard42.44Beer, honey, wood, almond*91.67
13Pear, peach, plum, pineapple*90.12Pear, peach, plum, pineapple*83.33
14Chamomile, rose*, raspberry, cherry91.28Chamomile, rose*, raspberry, cherry98.33
15Anise*, honey, rum, Chinese fir81.40Anise*, honey, rum, Chinese fir90.00
16Bread, cheese, fish*, ham93.02Bread, cheese, fish*, ham96.97

#, odors with correct recognition rate <75%; *, correct option.

Figure 1

Odor items in the Sniffin’ Sticks identification test and their correct recognition rate obtained in Experiment 1.

#, odors with correct recognition rate <75%; *, correct option. Odor items in the Sniffin’ Sticks identification test and their correct recognition rate obtained in Experiment 1.

Validity and cutoff value of COIT

In Experiment 2, 60 volunteers with normal olfaction and 60 patients with olfactory dysfunction participated. Specifically, 23 patients suffered from anosmia (TDI <16.5) (24), and 37 suffered from hyposmia (TDI ≥16.5) (24). The correct rate of identification of each item in the COIT was higher than 75% among the volunteers (). shows the comparison of the three olfactory function tests. We found that the COIT score significantly correlated with both the Sniffin’ Sticks score (r=0.755, P<0.0001, ) and CC-SIT score (r=0.7462, P<0.0001, ). These results suggested that the COIT can be used to evaluate the olfactory function of Chinese people, and has better cultural applicability.
Figure 2

Odor items in the Chinese odor identification test and their correct recognition rate obtained in Experiment 2.

Table 2

Comparison of three olfactory function test results obtained in Experiment 2

VariableNormal (n=60)Patients (n=60)tP value
Age, years38.38±12.0545.58±15.192.8640.005
Sniffin’ sticks score32.44±2.0919.39±7.8812.40<0.0001
Threshold test score7.10±1.983.12±2.2210.37<0.0001
Discrimination test score12.22±1.538.18±3.418.354<0.0001
Identification test score13.07±1.658.05±3.4910.07<0.0001
CC-SIT score10.08±1.506.03±2.979.433<0.0001
COIT score14.07±1.369.00±3.989.331<0.0001
Figure 3

Correlation coefficient between Chinese odor identification test (COIT) score and Sniffin’ Sticks score (A). Correlation coefficient between COIT score and Cross-Cultural Smell Identification Test (CC-SIT) score (B).

Odor items in the Chinese odor identification test and their correct recognition rate obtained in Experiment 2. Correlation coefficient between Chinese odor identification test (COIT) score and Sniffin’ Sticks score (A). Correlation coefficient between COIT score and Cross-Cultural Smell Identification Test (CC-SIT) score (B). Next, a ROC curve was used to evaluate the accuracy of COIT in diagnosing olfactory dysfunction. We also defined the cutoff values of the COIT for diagnosing hyposmia and anosmia in Chinese people. The COIT showed high accuracy to distinguish between normal olfactory function and olfactory disorders [area under the curve (AUC) =0.8896, P<0.0001, ] and further subdivided olfactory disorders into hyposmia and anosmia (AUC =0.9753, P<0.0001, ). The evaluation indexes for the cutoff points are given in . A higher Youden index (sensitivity + specificity − 1) indicated a higher diagnostic ability. As shown in normal olfactory function is indicated if the COIT score is ≥12 (specificity 76.7%, sensitivity 86.7%, Youden index 0.634), <7 indicates anosmia (specificity 94.6%, sensitivity 100%, Youden index 0.946), and between 7 and 12 indicates hyposmia.
Figure 4

Receiver operating characteristic (ROC) curves. Sensitivity and false positive rate of the Chinese odor identification test (COIT). The area under the curve (AUC) for normal olfactory function versus hyposmia + anosmia.

Figure 5

Receiver operating characteristic (ROC) curves. Sensitivity and false positive rate of the Chinese odor identification test (COIT). The area under the curve (AUC) for hyposmia versus anosmia.

Table 3

Receiver operating characteristic curve analysis of the COIT

Olfactory functionAUC (95% CI)P valueCutoff valueSpecificity, %Sensitivity, %Youden index
Olfactory disorder0.8896<0.00011276.7%86.7%0.634
Anosmia0.9753<0.0001794.6%100%0.946

AUC, area under the curve; CI, confidence interval; COIT, Chinese odor identification test.

Receiver operating characteristic (ROC) curves. Sensitivity and false positive rate of the Chinese odor identification test (COIT). The area under the curve (AUC) for normal olfactory function versus hyposmia + anosmia. Receiver operating characteristic (ROC) curves. Sensitivity and false positive rate of the Chinese odor identification test (COIT). The area under the curve (AUC) for hyposmia versus anosmia. AUC, area under the curve; CI, confidence interval; COIT, Chinese odor identification test.

Reliability of COIT

In Experiment 3, we quantified the test-retest reliability of the COIT. Specifically, the 60 normal volunteers who participated in Experiment 2 were tested twice with COIT, with an interval of 3 months. The retest COIT scores strongly correlated with those obtained the first time (r=0.8281, P<0.001, ), and there was no significant difference between the two test results (t=1.187, P=0.24, ). These results indicated that the COIT is highly stable.
Figure 6

Reliability of the Chinese odor identification test (COIT). Test-retest correlation between the COIT scores with an interval of 3 months (A). The difference between the test and retest scores (B).

Reliability of the Chinese odor identification test (COIT). Test-retest correlation between the COIT scores with an interval of 3 months (A). The difference between the test and retest scores (B).

Discussion

Our novel COIT showed excellent results for examination of olfactory function in China because all of the 16 odors can be easily recognized by Chinese people. The six odors with a low correct recognition rate in the Sniffin’ Sticks identification test [i.e., Leather (54.65%), Cinnamon (36.63%), Licorice (34.88%), Pine resin (36.63%), Apple (51.74%), and Clove (42.44%)] are unfamiliar to most Chinese people, as they do not use these substances in their daily lives. Therefore, we first asked the volunteers to smell familiar odors and then told them the corresponding substances to ensure correct identification (39). We then asked the volunteers to rank these odors according to their familiarity and in this way, we selected 16 suitable odors to form the COIT, which we then verified in Experiment 2. The COIT scores were highly correlated with both the Sniffin’ Sticks and the CC-SIT scores. The sensitivity of using the COIT to distinguish between normal olfactory function and olfactory disorders was as high as 86.7%, and was even as high as 100% when subdividing olfactory disorders into hyposmia and anosmia, which fully demonstrated the effectiveness of the COIT. Furthermore, the COIT was highly stable, with a test-retest reliability of 0.8281, which is comparable to many widely used olfactory function tests, such as UPSIT (r=0.92) (21), Sniffin’ Sticks (r=0.73) (23), SOIT (r=0.79) (26) and SDOIT test (r=0.85) (27). In addition to cultural applicability, the COIT has other characteristics that make it more suitable for use in China. It takes a very short time compared with the Sniffin’ Sticks test. In Experiment 2, the average time for 120 volunteers to complete the Sniffin’ Sticks test was 1,135.3±151.3 s, whereas the COIT only took 167.9±18.4 s. This time-saving aspect makes the COIT very suitable for the busy clinician. Although the CC-SIT test is equally efficient (220.3±87.9 s, Experiment 2), it is a disposable olfactory test tool and the high price has prevented it from being widely used in China, whereas the COIT can be reused. In summary, we believe that the COIT is an accurate, effective and stable olfactory test, suitable for the unique Chinese cultural background. The article’s supplementary files as
  38 in total

1.  The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

Authors:  Ziad S Nasreddine; Natalie A Phillips; Valérie Bédirian; Simon Charbonneau; Victor Whitehead; Isabelle Collin; Jeffrey L Cummings; Howard Chertkow
Journal:  J Am Geriatr Soc       Date:  2005-04       Impact factor: 5.562

2.  Odor Emotional Quality Predicts Odor Identification.

Authors:  Anne-Kathrin Bestgen; Patrick Schulze; Lars Kuchinke
Journal:  Chem Senses       Date:  2015-07-03       Impact factor: 3.160

3.  Development of the Chinese Smell Identification Test.

Authors:  Guo Feng; Yuan Zhuang; Fangshu Yao; Yuting Ye; Qiannong Wan; Wen Zhou
Journal:  Chem Senses       Date:  2019-03-11       Impact factor: 3.160

4.  The Prevalence of Olfactory and Gustatory Dysfunction in COVID-19 Patients: A Systematic Review and Meta-analysis.

Authors:  Jane Y Tong; Amanda Wong; Daniel Zhu; Judd H Fastenberg; Tristan Tham
Journal:  Otolaryngol Head Neck Surg       Date:  2020-05-05       Impact factor: 3.497

Review 5.  Role of ortho-retronasal olfaction in mammalian cortical evolution.

Authors:  Timothy B Rowe; Gordon M Shepherd
Journal:  J Comp Neurol       Date:  2015-06-11       Impact factor: 3.215

6.  Normative data for olfactory threshold and odor identification in children and adolescents.

Authors:  Janine Gellrich; Lisa-Marie Sparing-Paschke; Theresa Thieme; Katharina Schwabe; Annika Dworschak; Thomas Hummel; Valentin A Schriever
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2019-01-09       Impact factor: 1.675

7.  Development of the University of Pennsylvania Smell Identification Test: a standardized microencapsulated test of olfactory function.

Authors:  R L Doty; P Shaman; M Dann
Journal:  Physiol Behav       Date:  1984-03

8.  The Korean version of the Sniffin' stick (KVSS) test and its validity in comparison with the cross-cultural smell identification test (CC-SIT).

Authors:  Jae Hoon Cho; Yong Soo Jeong; Yeo Jin Lee; Seok-Chan Hong; Joo-Heon Yoon; Jin Kook Kim
Journal:  Auris Nasus Larynx       Date:  2008-09-04       Impact factor: 1.863

9.  [A study on the quality of life and mental health of sinusitis patients with olfactory disorders].

Authors:  Yisong Jia; Shangjie Bai
Journal:  Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi       Date:  2020-02

10.  Olfactory detection and identification performance are dissociated in early Alzheimer's disease.

Authors:  E Koss; J M Weiffenbach; J V Haxby; R P Friedland
Journal:  Neurology       Date:  1988-08       Impact factor: 9.910

View more
  2 in total

1.  Clinical significance of the cognition-related pathogenic proteins in plasma neuronal-derived exosomes among normal cognitive adults over 45 years old with olfactory dysfunction.

Authors:  Zirong Chen; FeiFan Chang; Linyin Yao; Fan Yuan; Junsheng Hong; Dawei Wu; Yongxiang Wei
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-10-24       Impact factor: 2.503

2.  Predictive significance of the questionnaire of olfactory disorders-negative statements for olfactory loss in patients with chronic rhinosinusitis.

Authors:  Dawei Wu; Yongxiang Wei; Fan Yuan
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-06-19       Impact factor: 3.236

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.