Literature DB >> 30546850

Applicability of the Test of Variables of Attention - T.O.V.A in Brazilian adults.

Cláudia M Memória1, Henrique C S Muela2,3, Natália C Moraes1, Valéria A Costa-Hong2, Michel F Machado2, Ricardo Nitrini1, Luiz A Bortolotto2, Monica S Yassuda1.   

Abstract

The functioning of attention is complex, a primordial function in several cognitive processes and of great interest to neuropsychology. The Test of Variables of Attention (T.O.V.A) is a continuous computerized performance test that evaluates some attention components such as response time to a stimulus and errors due to inattention and impulsivity.
OBJECTIVE: 1) To evaluate the applicability of T.O.V.A in Brazilian adults; 2) To analyze the differences in performance between genders, age ranges, and levels of education; 3) To examine the association between T.O.V.A variables and other attention and cognitive screening tests.
METHODS: The T.O.V.A was applied to 63 healthy adults (24 to 78 years of age) who also underwent the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Digit Span and Digit Symbol (Wechsler Intelligence Scale for Adults - WAIS-III) and the Trail Making Test.
RESULTS: the T.O.V.A was little influenced by age or education, but was influenced by gender. The correlations between some T.O.V.A variables and the Digit Symbol and Trail Making test were weak (r-values between 0.2 and 0.4), but significant (p<0.05). There was no correlation with the Digit Span test.
CONCLUSION: The T.O.V.A showed good applicability and proved adequate for evaluating attentional processes in adults.

Entities:  

Keywords:  adults; attention; computerized evaluation; elderly

Year:  2018        PMID: 30546850      PMCID: PMC6289477          DOI: 10.1590/1980-57642018dn12-040009

Source DB:  PubMed          Journal:  Dement Neuropsychol        ISSN: 1980-5764


In most models, attention is portrayed as a complex system that allows the individual to filter relevant and irrelevant information, maintain and process mental representations, and monitor and modulate responses to stimuli. Attention, therefore, usually refers to a multifactorial set of processes that goes beyond the simple ability to encode information. Attention includes several processes, such as sensory selection (filter, focus, alternation), response selection (response intention, initiative and inhibition, active change and executive control), and attentional capacity (effort, sustained performance, alertness).1 Attentional deficits can therefore affect one or more of these processes and can be classified according to their particularities. Frequently, the Digit Span,2 , 3 a subtest of the Wechsler Scale is used to assess auditory-verbal attention. However, it is a short-term and uninformative task on fatigue, inhibition and attentional oscillations throughout the execution time. To take into account these aspects, Continuous Performance Tests (CPT,) such as the Test of Variables of Attention (T.O.V.A) 4 would be more appropriate for examining sustained attention and providing data on the other parameters. The T.O.V.A is a 21-minute computerized test in which a simple geometric stimulus is used to measure the response to visual stimuli. It can be used in serial evaluations and assists in the detection of attention disorders. The test involves the presentation of two distinct situations: the display of a target stimulus (a small square in the upper part presented within a larger square), upon which the individual must press the microswitch, and the presence of a different stimulus (a small square in the lower part within a larger square) for which the subject must not press the microswitch. Being computerized battery, it offers advantages such as ease of application and handling, less influence of the examiner, automatic generation of report with results, and accuracy in recording of reaction time (±1 millisecond). This test can also be used to monitor the response to drug treatment because it has negligible test-retest effects.4 US standards for the T.O.V.A are based on data from 1,596 individuals aged 4 to 80 years, with a shorter version of the test available for pre-school children.4 However, few studies have been performed on the T.O.V.A in adults. Additionally, the test is expected to be little influenced by education because the instructions and stimuli involved in the test are simple. The test has been mainly used as a clinical outcome variable for interventions aimed at reducing symptoms in ADHD5 while few studies have used it as a diagnostic tool for attention deficit in adults.6 , 7 No studies conducted in Brazil on the T.O.V.A were found. Thus, the objectives of the present study were: 1) to evaluate the applicability of the T.O.V.A in Brazilian adults without chronic diseases; 2) to investigate whether the T.O.V.A scores vary between the sexes, age groups and education; and 3) to investigate the association between the scores generated by the T.O.V.A and other attention tests.

METHODS

Participants

The sample consisted of 63 adults with a mean age of 52.05 (±14.43) years and a mean educational level of 13.13 (±4) years. Participants were individuals included in the CHEST-BR study,8 in which subjects without cardiovascular disease underwent a complete clinical evaluation, laboratory tests, ergometric test and echocardiogram. Subjects were included in the study if no change was evident on these assessments. Participants who were hypertensive, diabetic, smokers or in chronic use of alcohol were excluded.

Instruments

Test of Variables of Attention (T.O.V.A)

The test starts with a three-minute training phase,4 where the participant is instructed to press the microswitch in the presence of a target stimulus. The participant is not informed about the structure of the test and usually does not know that the test consists of two parts: during the first half of the test (lasting 10 minutes), the target appears in 22.5% of the trials. During the second half (same length of time), the target appears in 77.5% of the trials. The increasing frequency of the target implies that the examinee must respond more quickly. When the subject does not respond to the target, this response is called an error of omission and is a measure of inattention; and when the examinee responds to a non-target, the response is called a commission error and considered a measure of impulsiveness.4 , 9 Thus, the first half of the test is designed to maximize the demand for sustained attention (and induces omission errors), while the second half calls for inhibitory control (and induces commission errors).10 In addition to the primary variables, the T.O.V.A generates secondary variables that include variability in response time (consistency), response time, the D-prime, and an attentional performance score. The measures are outlined below: Omission Errors: considered a measure of inattention. The subject does not respond to the predetermined target; that is, the subject fails to press the T.O.V.A microswitch when the target is displayed. The omission score is calculated as the ratio between the number of correct responses to the target and the subtraction of the actual number of targets displayed from the number of anticipatory responses to the targets. Commission Errors: considered a measure of impulsivity or behavioral disinhibition. The subject is unable to inhibit the response and incorrectly responds to a non-target stimulus, pressing the button when a non-target is displayed. The commission score is calculated as the ratio between the number of incorrect responses to the non-targets and the subtraction of the actual number of non-targets presented from the number of anticipatory responses made to non-target stimuli. Response time variability: a measure of time differences for correct responses given by the subject, denoting the consistency in the speed of correct responses. The faster the subject, the lower the variability. Response time: the average time a subject takes to respond correctly to a target by pressing the microswitch from the moment the target is presented. The response time score is the average of the response times (correct responses), calculated as the sum of all times divided by the number of correct responses to the target, expressed in milliseconds (ms) for each quartile, half and total time of the test. D-prime: a response sensitivity score that reflects the ratio between the rate of correct responses and the rate of “false alarm”. It is considered a measure of decrease in performance over time, that is, the rate of decline of performance throughout the task. This measure is derived from the Signal Detection Theory and helps to distinguish individuals without impairment from those diagnosed with attention disorders.11 The score reflects the accuracy in discriminating between target (signal) and non-target (noise) and is interpreted as a measure of perceptual sensitivity. Attentional Performance Index: the result of the comparison of the performances of the studied subjects on the T.O.V.A versus an American sample identified as having ADHD. Positive indices are suggestive of no attention impairment. The formula used to derive the score is as follows: response time in z score (1st half of the test) + D-prime in z score (2nd half of the test) + variability in response time in z score (total). In subjects with ADHD, the index is expected to be negative, although not specific to this disorder because attentional impairments may be present in various conditions.4 The T.O.V.A has some criteria invalidating the test run: response time or variability equal to zero in any quartile of the test, interruption of the test by the examinee, excessive anticipatory responses and 100% omission/commission errors in any quartile of the test. More information is available on the www.tovatest.com. Each subject completed the T.O.V.A, along with the following tests: Digit Span and Digit Symbol - subtests of the Wechsler Intelligence Scale for Adults,2 Trail Making Test - TMT Parts A and B,12 Verbal Fluency Test (animals),13 Boston Naming Test,14 Rey Auditory Verbal Learning Test – RAVLT,15 Rey’s Complex Figure,16 Brief Cognitive Screening Battery,17 Clock Drawing Test.18 The above tests were chosen in congruence with the recommendations of the National Institute of Neurological Disorders and Stroke - Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards, 19 but only the neuropsychological tests related to the attentional processes and measures of global cognition were shown in the results.

Procedures

The local ethics committee approved the protocol, and all participants agreed by signing the Informed Consent Form (ICF). The clinical evaluation with ergometric test, echocardiogram and application of the neuropsychological battery lasted about 150 minutes and was performed at the INCOR. Cardiologists were responsible for the clinical evaluation. The neuropsychological battery lasted about 90 minutes and was applied by neuropsychologists. Although the T.O.V.A was self-administered, the examiner remained present for any unforeseen events.

Statistical analyses

The sample was divided between men and women to assess whether there were gender differences in the T.O.V.A variables. Two age groups were then created to differentiate young/middle-aged adults from elderly subjects (<60 years and ≥60 years), and two educational levels (≤11 years and >11 years of education, usually corresponding to complete secondary education). The Mann-Whitney test was used to analyze the differences between age and education groups, given none of the variables had a normal distribution, as tested with the Shapiro-Wilks test. Additionally, Spearman correlations were performed to evaluate the association between T.O.V.A variables and the other attention and global cognition tests. R software version 3.4.3 was used for statistical analyses. Statistical significance was set at 5%.

RESULTS

Men and women differed in age and education; men were younger (p=0.025) and higher educated (p=0.034). On the subanalysis of the Attentional Performance Index, 36.5% of the individuals had a negative result on this variable (Table 1).
Table 1

Demographic data, T.O.V.A variables and other cognitive tests for the total sample (n=63), presenting means and standard deviations with value ranges.

  Mean (±SD)Minimum Maximum
AgeMale47.55 (±14.45)2478
Female55.88 (±13.47)3176
Years of educationMale14.24 (±3.45)420
Female12.18 (±4.24)421
T.O.V.A variablesResponse time variability94.73 (±27.96)56210
Response time (ms)386.13 (±63.55)244549
Total Commission Errors9.92 (±11.73)060
Total Omission Errors2.63 (±5.02)028
D-prime5.33 (±1.28)2.728.53
Attentional Performance Index0.57 (±3.82)-8.97.81
Global cognitionMMSE28.05 (±1.85)2230
MoCA25.6 (±2.84)1530
Attentional testsDigits Forward7.89 (±2.28)415
Digits Backward5.24 (±1.88)212
TMT part A (time in seconds)50.49 (±25.5)23158
TMT part B (time in seconds)119.35 (±86.64)42610
Digit Symbol54.32 (±18.51)18105

SD: standard deviation; p-values refer to the Spearman correlation test; MMSE: Mini Mental State Examination; MoCA: Montreal Cognitive Assessment; TMT: Trail Making Test.

SD: standard deviation; p-values refer to the Spearman correlation test; MMSE: Mini Mental State Examination; MoCA: Montreal Cognitive Assessment; TMT: Trail Making Test. A difference between the sexes was observed on the T.O.V.A for the variables Response Time and Omission Errors (p<0.05) (Table 2).
Table 2

Performance on T.O.V.A variables by sex (n=63).

T.O.V.A variables Sexp-value
Male (n=29)Female (n=34)
Response time variability1st half75.07 (±34.06)72.76 (±19.83)0.67
2nd half90.55 (±21.48)99.5 (±36.78)0.60
Total91.17 (±21.48)97.76 (±32.51)0.64
Response time (ms)1st half388.66 (±53.29)438.18 (±67.63)0.001
2nd half355.55 (±68.43)396.50 (±59.49)0.014
Total363 (±62.28)405.85 (±58.54)0.007
Commission errors1st half1 (±1.1)0.88 (±1.98)0.074
2nd half9.38 (±11.74)8.65 (±9.56)1
Total10.38 (±12.51)9.53 (±11.74)0.73
Omission errors1st half0.38 (±0.73)0.59 (±1.02)0.36
2nd half1.31 (±3.11)2.85 (±5.52)0.01
Total1.69 (±3.43)3.44 ± (5.99)0.02
D-prime 5.66 (±1.21)5.05 (±1.29)0.059
Attentional Performance Index 0.69 (±3.21)0.43 (±4.49)0.927

ms: milliseconds. p-values refer to the Mann-Whitney test.

ms: milliseconds. p-values refer to the Mann-Whitney test. Table 3 shows that there was no significant difference between the age groups examined, except for the Attentional Performance Index (p<0.05).
Table 3

Performance on T.O.V.A variables by age group (n=63).

T.O.V.A variables Age group p-value
20 to 59 years (n=39)≥ 60 years (n=24)
(Mean ± SD)
Response time variability1st half77.12 (±35.49)77.12(±35.49)0.94
2nd half96.18 (±33.89)94.08 (±25.64)0.97
Total94.77 (±30.29)94.67 (±33.89)0.62
Response time (ms)1st half406.1 (±59.27)430.46 (±74.17)0.20
2nd half367.85 (±67.43)393.58 (±63.09)0.13
Total376.56 (±62.89)401.67 (±62.82)0.13
Commission errors1st half0.79 (±1.17)1.17 (±2.18)0.54
2nd half9.44 (±10.89)8.25 (±10.12)0.42
Total10.23 (±11.63)9.42 (±12.12)0.41
Omission errors1st half0.54 (±1.05)0.42 (±0.58)0.82
2nd half2.51 (±5.60)1.54 (±2.13)0.45
Total3.05 (±6.07)1.96 ± (2.49)0.58
D-prime 5.35 (±1.29)5.31 (±1.29)0.92
Attentional Performance Index -0.34(±4.26)2.05 (±2.37)0.006

ms: milliseconds. p-values refer to the Mann-Whitney test.

ms: milliseconds. p-values refer to the Mann-Whitney test. There were no significant differences on the T.O.V.A in relation to the educational levels (p>0.05) (Table 4).
Table 4

Performance on T.O.V.A variables by educational level (n=63).

T.O.V.A variablesSchooling ≤ 11 (n=27)Schooling > 11 (n=36)p-value
Mean (±SD)
Response time variability1st half76.74 (±35.38)71.64 (±18.96)0.95
2nd half96.74 (±37.74)94.36 (±24.9)0.66
Total96.89 (±34.3)93.11 (±22.46)0.98
Response time (ms)1st half420.15 (±72.77)411.81 (±72.77)0.79
2nd half376.33 (±59.29)378.64 (±72.24)0.96
Total386.04 (±60.02)386.19 (±66.93)0.92
Commission errors1st half1.26 (±2.12)0.69 (±1.09)0.17
2nd half10.3 (±10.43)8 (±10.66)0.17
Total11.56 (±12.07)8.69 (±11.48)0.13
Omission errors1st half0.67 (±1.11)0.36 (±0.68)0.24
2nd half2.78 (±6.05)1.67 (±3.13)0.30
Total3.44 (±6.53)2.03 (±3.47)0.27
D-prime 5.02 (±1.18)5.56 (±1.32)0.09
Attentional Performance Index 0.87 (±4.16)0.34 (±3.59)0.30

ms: milliseconds; p-value refers to the Mann-Whitney test.

ms: milliseconds; p-value refers to the Mann-Whitney test. The analyses indicated significant, although weak, correlations (r-values from 0.2 to 0.4) between the General Attention Index and age; between Total Response Time Variability and scores on the Trail Making Test part A and Digit Symbol; and between Total Commission Errors and scores on the Trail Making Test part B and Digit Symbol (Table 5).
Table 5

Spearman correlation (p-value) between T.O.V.A variables and age, education, cognitive traits and attention tests.

 Total RT variabilityTotal Commission Errors Total Omission ErrorsD-primeAttentional Performance Index
Age0.04 (0.68)-0.06 (0.54)0.11 (0.43)-0.06 (0.69)0.33 (0.01)*
Education-0.10 (0.54)-0.20 (0.13)-0.21 (0.19)0.25 (0.09)-0.05 (0.7)
MMSE-0.13 (0.39)0.05 (0.81)-0.05 (0.87)0.06 (0.77)0.00 (0.97)
MoCA-0.25 (0.08)-0.04 (0.66)-0.20 (0.20)0.22 (0.14)0.15 (0.26)
Digits Forward-0.12 (0.34)-0.11 (0.47)-0.11 (0.41)0.13 (0.36)-0.10 (0.43)
Digits Backward0.01 (0.91)0.08 (0.61)0.05 (0.57)-0.09 (0.44)-0.05 (0.78)
Total Digits-0.09 (0.48)-0.04 (0.73)-0.03 (0.96)0.03 (0.91)-0.10 (0.53)
TMT part A0.32 (0.02)* 0.16 (0.19)0.14 (0.44)-0.15 (0.37)-0.11 (0.45)
TMT part B0.21 (0.11)0.29 (0.02)* -0.04 (0.77)-0.08 (0.53)0.01 (0.94)
Digit Symbol-0.35 (0.01)* -0.27 (0.03)* -0.04 (0.89)0.18 (0.25)0.11 (0.42)

Variables with statistically significant correlation; MMSE: Mini-Mental State Examination; MoCA: Montreal Cognitive Assessment; TMT: Trail Making Test; RT: response time.

Variables with statistically significant correlation; MMSE: Mini-Mental State Examination; MoCA: Montreal Cognitive Assessment; TMT: Trail Making Test; RT: response time.

DISCUSSION

The objective of the present study was to evaluate the applicability of the T.O.V.A in Brazilian adults without chronic diseases and to examine their scores on variables such as sex, age group and education. The association between the scores generated by the T.O.V.A and other attention tests was also examined. The results indicated that, on most variables, the T.O.V.A was little influenced by age or education. For some specific measures (Response Time and Omission Errors), there were significant differences between the sexes. In the original T.O.V.A standardization study,4 the test was applied to a sample of 250 adults aged 20-89 years and differences between the sexes were observed. Men were faster in response time and made more omission and commission errors. This finding was partially replicated in our study, as women were significantly slower in response time, but made more omission errors than men. These divergent findings may be explained by the fact that, in the present sample, the women were older than the men. Future studies are needed to address this apparent inconsistency in the TOVA differences related to sex. In a review on continuous performance tasks,20 half of the studies suggested lower alertness in the elderly population, with an increase in response time latency and loss of precision (decrease in the number of correct answers). However, these declines were more evident in tests lasting more than 40 minutes. Other studies cited in this review21 , 22 found similar performance for sustained attention among young and old people, depending on the reference variable (e.g. response time, rate of correct responses, type of stimulus used). The authors of the T.O.V.A affirm that the test is slightly influenced by education.4 Possibly, this is the case because of the low complexity of the task and because it uses a non-language dependent stimulus.23 The Trail Making Test, Digit Span and Digit Symbol tests are subject to greater influence of education;24 the low influence of education on the T.O.V.A in our findings may represent an advantage in relation to other instruments. The Attentional Performance Index reflects the comparative performance of the subject relative to an American clinical sample with ADHD, where positive indices are suggestive of no attention impairment. A proportion (36.5%) of the present sample had a negative Attentional Performance Index. The criterion adopted to define our population as healthy was the absence of chronic diseases (such as hypertension and diabetes). However, conditions associated with attentional impairments such as traumatic brain injury, depression, anxiety, substance abuse, medication, learning disorders and sleep disorders,4 were not fully controlled. Moreover, some degree of attentional deficit is possible without necessarily manifesting as major functional losses. In a previously published study involving the present study sample, a similar percentage of individuals had scores suggestive of cognitive decline, varying according to the parameter used (7% for the MMSE, 25% on the MoCA, and 24% on the neuropsychological evaluation).25 Consistent with previous studies,10 , 26 the correlations of T.O.V.A variables with tests that evaluate attention were negligible or weak. Among those with statistical significance, the performance on the Trail Making Test Part A,24 whose measures are more related to speed and sustained attention, correlated positively with the variable that expresses consistency in response time (variability) and negatively with the Digit Symbol test (a measure of psychomotor speed). Increased variability in the response time and in Trail Making Test scores reflect slower performance of the subject. There was an association of the variable Commission Errors with the Digit Symbol test and the Trail Making Test Part B (negative and positive, respectively). Both attentional tests and commission errors are tasks requiring flexibility and inhibitory control. However, no significant correlations were observed on the Digits Span test, a traditional test that evaluates attentional amplitude and cognitive flexibility, even on separate analysis of forward and backward order or total score (calculated as the sum of the two parts). In summary, the correlation analyses suggest that the T.O.V.A and Digit Span test assess different aspects of attention; the T.O.V.A has a greater contribution of alertness than other aspects related to the Digit Span test, such as operational memory.24 In conclusion, the T.O.V.A showed good applicability and was adequate for evaluating attentional processes in adults. Because this is a computerized test, it offers advantages such as precision of the measures evaluated, number of variables generated, and automation of results. Furthermore, the test proved to be little influenced by education or age. The study had limitations related to the small size of the sample and the fact that a specific instrument to track attention complaints was not applied. However, the Attention Performance Index suggested that a percentage of the participants may present attentional changes according to the T.O.V.A. Future studies should be performed with more comprehensive samples that allow generalizality to other populations.
  18 in total

1.  Age differences in perceived workload across a short vigil.

Authors:  David Bunce; Laura Sisa
Journal:  Ergonomics       Date:  2002-10-20       Impact factor: 2.778

2.  Category fluency test: effects of age, gender and education on total scores, clustering and switching in Brazilian Portuguese-speaking subjects.

Authors:  S M D Brucki; M S G Rocha
Journal:  Braz J Med Biol Res       Date:  2004-11-17       Impact factor: 2.590

3.  Signal detection indices in schizophrenics on a visual, auditory, and bimodal Continuous Performance Test.

Authors:  L Mussgay; R Hertwig
Journal:  Schizophr Res       Date:  1990 Oct-Dec       Impact factor: 4.939

4.  Developmental normative data on the test of variables of attention (T.O.V.A.).

Authors:  L M Greenberg; I D Waldman
Journal:  J Child Psychol Psychiatry       Date:  1993-09       Impact factor: 8.982

5.  Normative data for the Brazilian population in the Boston Diagnostic Aphasia Examination: influence of schooling.

Authors:  M Radanovic; L L Mansur; M Scaff
Journal:  Braz J Med Biol Res       Date:  2004-10-26       Impact factor: 2.590

6.  Heart rate recovery after treadmill electrocardiographic exercise stress test and 24-hour heart rate variability in healthy individuals.

Authors:  Ivana Antelmi; Eliseu Yung Chuang; Cesar José Grupi; Maria do Rosário Dias de Oliveira Latorre; Alfredo José Mansur
Journal:  Arq Bras Cardiol       Date:  2008-06       Impact factor: 2.000

7.  Attentional control and subjective executive function in treatment-naive adults with Attention Deficit Hyperactivity Disorder.

Authors:  Venke Arntsberg Grane; Tor Endestad; Arnfrid Farbu Pinto; Anne-Kristin Solbakk
Journal:  PLoS One       Date:  2014-12-29       Impact factor: 3.240

8.  Computer Enabled Neuroplasticity Treatment: A Clinical Trial of a Novel Design for Neurofeedback Therapy in Adult ADHD.

Authors:  Benjamin Cowley; Édua Holmström; Kristiina Juurmaa; Levas Kovarskis; Christina M Krause
Journal:  Front Hum Neurosci       Date:  2016-05-09       Impact factor: 3.169

9.  Hypertension Severity Is Associated With Impaired Cognitive Performance.

Authors:  Henrique C S Muela; Valeria A Costa-Hong; Mônica S Yassuda; Natália C Moraes; Claudia M Memória; Michel F Machado; Thiago A Macedo; Edson B S Shu; Ayrton R Massaro; Ricardo Nitrini; Alfredo J Mansur; Luiz A Bortolotto
Journal:  J Am Heart Assoc       Date:  2017-01-11       Impact factor: 5.501

10.  Brief cognitive battery in the diagnosis of mild Alzheimer's disease in subjects with medium and high levels of education.

Authors:  Ricardo Nitrini; Paulo Caramelli; Claudia Sellitto Porto; Helenice Charchat-Fichman; Ana Paula Formigoni; Maria Teresa Carthery-Goulart; Carla Otero; João Carlos Prandini
Journal:  Dement Neuropsychol       Date:  2007 Jan-Mar
View more
  2 in total

1.  Training the brain to time: the effect of neurofeedback of SMR-Beta1 rhythm on time perception in healthy adults.

Authors:  Behnoush Behzadifard; Saied Sabaghypour; Farhad Farkhondeh Tale Navi; Mohammad Ali Nazari
Journal:  Exp Brain Res       Date:  2022-05-16       Impact factor: 2.064

2.  The Changes of qEEG Approximate Entropy during Test of Variables of Attention as a Predictor of Major Depressive Disorder.

Authors:  Shao-Tsu Chen; Li-Chi Ku; Shaw-Ji Chen; Tsu-Wang Shen
Journal:  Brain Sci       Date:  2020-11-07
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.