How to cite this article: Aguilar-Madrid G, Torres-Valenzuela A, Hinojos-Escobar W, Cabello-López A, Gopar-Nieto R, Ravelo-Cortés PE, Haro-García LC, Juárez-Pérez CA. [Brainstem auditory evoked potentials latencies, by age and sex, among mexican adult population]. Rev Med Inst Mex Seguro Soc. 2016;54(2):203-10.
ORIGINAL CONTRIBUTIONS
Received: December 15th /2014
Accepted: April 16th 2015
Guadalupe Aguilar-Madrid,a Arturo Torres-Valenzuela,b Wendoly Hinojos-Escobar,c Alejandro Cabello-López,a Rodrigo Gopar-Nieto,d Perla Estela Ravelo-Cortés,a Luis Cuauhtémoc Haro-García,a Cuauhtémoc Arturo Juárez-Péreza
aUnidad de Investigación de Salud en el Trabajo, Centro Médico Nacional Siglo XXI, Ciudad de México
bServicio de Audiología, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Ciudad de México
cServicio de Audiología, Hospital Regional 1, Unidad Morelos, Chihuahua, Chihuahua
dServicio de Medicina Interna, Hospital Lic. Adolfo López Mateos, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Ciudad de México, México
a-cInstituto Mexicano del Seguro Social, Ciudad de México, México
Communication with: Cuauhtémoc Arturo Juárez-Pérez
Telephone: (55) 5761 0725
Email: carturojp@gmail.com
Background: Brainstem auditory evoked potentials (BAEP) evaluate the auditory pathway, and are a complementary test for tone audiometry in evaluating auditory diseases. The aim of the study was to determine BAEP mean latencies of waves and intervals, among healthy adults.
Methods: Cross-sectional study, comprising 196 subjects, aged 16 to 65 years, without auditory diseases, to whom family and personal history were asked, physical examination and laboratory studies were made, as well as tonal audiometry, impedanciometry and BAEP.
Results: A total of 107 men and 89 women were studied. The mean latency periods of waves I, III and V, and intervals I-III, III-V and I-V from both ears were similar. An increase in the latency periods for each age category was observed. Latency periods were significantly shorter in women compared to men. The predictors that increased the latency periods in the multiple linear regression models for waves and intervals were male gender and age ≥45 years.
Conclusions: Age and sex were the variables that showed more statistical power to explain the latencies’ differences.
Keywords: Auditory evoked potentials; Brain stem; Audiology; Auditory pathwaysBrainstem auditory evoked potentials (BAEP) represent the response of the central nervous system to an acoustic stimulus.1 They are composed of five to seven spikes that can be detected in the first 12 milliseconds (ms) after the onset of the stimulus. Neurons process these stimuli along the auditory afferent pathway in the following structures: wave I, in the proximal region of the eighth cranial nerve; wave II, in the cochlear nucleus; wave III, in the superior olivary complex; wave IV, in the lateral lemniscus; wave V, in the inferior colliculus; wave VI, in the medial geniculate body; and wave VII in the auditory temporal cortex.1-3 In electrophysiology, only the overall responses are measured; to achieve this goal an acoustic stimulus is used, called click, which has a determined frequency and intensity.4
Although tone audiometry is the gold standard to assess hearing, it does not provide information about retrocochlear effects or central auditory processes, so it is late to evidence hearing damage.5 In this sense, BAEPs can identify and locate auditory pathologies and dysfunctions in specific regions of the auditory pathway, in addition to sensory disturbances when the clinical presentation and neurological examination are unclear, and they reveal the presence of problems in the central nervous system when a demyelinating disease is suspected. The main advantages of using BAEP include independent interpretation of the subjectivity of the operator, the cognitive status of the patient, the influence of educational and cultural factors,7 and minimal modification from the neurological status and awareness of the patient.8
Clinically, the most important waves are the waves I, III, and V.3 However, there are conditions such as age,9 sex,10 chronic diseases (diabetes, hypertension, dyslipidemia), social behaviors, and occupational risks (organic solvents, heavy metals, and pesticides) to be assessed to know their influence and determine reference values in populations studied.8,11,12
The urgent need to standardize BAEP values is intrinsically related to neurological and electrical characteristics, mainly because they are signals measured in a very small range of frequencies, and can be modified by multiple factors. Unfortunately, in Mexico there are no reference values for PEATC in the healthy adult population, although there are populations at risk of hearing pathology due to exposure to risk factors such as ototoxic drugs and high noise levels, alone or combined with ototoxic or neurotoxic substances (organic solvents, heavy metals, and pesticides). Therefore, the objective of this study was to determine the mean values of latencies of waves I, III, and V, as well as the intervals I-III, III-V and I-IV, in a healthy adult population categorized by sex and age, and to identify predictors that explain the variability of the BAEP values in this population, in order to obtain reliable reference values in a population of Mexican workers insured by the Instituto Mexicano del Seguro Social (IMSS).
Study design and participant selection
A cross-sectional study was made involving a sample of Mexican workers affiliated with the Instituto Mexicano del Seguro Social, who were recruited from the Blood Bank of the XXI Centro Médico Nacional Siglo XXI (CMN SXXI) during the period 2009 to 2011. Participants were invited and informed of the protocol and those who agreed to participate in the study signed a letter of informed consent. The study was approved by the Local Research Committee of the Hospital de Especialidades del CMN SXXI. To protect the confidentiality of participants, their names were omitted and an identification number was used. The study criteria were as follows:
Evaluations
Statistical analysis
Data were collected in a Microsoft Office Excel spreadsheet, and double data capture was done to avoid errors and inconsistencies in the database. Statistical analysis was performed in STATA version 12. To do this, 4 age groups were created with reference to the quartiles 25, 50, and 75 as follows: ≤ 24, 25-34, 35-44 and ≥ 45 years with the intention of having a similar number of participants in each category. As part of the analysis, frequencies and percentages of variables were determined, as well as measures of central tendency and dispersion, percentiles, and bivariate analysis to observe the behavior of the variable of interest. Student’s t-test, Mann-Whitney U, and ANOVA were used for comparison of means depending on whether the distribution of quantitative variables fulfilled the assumptions of normality; furthermore, Chi-squared independence tests were done for categorical variables. Finally, multiple regression models were performed, adjusted for age and sex to identify the determinants of BAEP variability, which included: noise exposure, alcohol consumption, smoking, blood glucose, and blood lipids. A p < 0.05 was considered statistically significant.
A sample of 196 participants was studied, 107 men (54.6%) and 89 women (45.4%). The power of the sample was calculated considering an alpha = 0.05, which resulted in a 100% power. The mean age for men was 27 ± 9 years and for women 28 ± 10 years. Of the total sample, 114 participants (58.5%) reported family history of hypertension and 121 (62.4%) of diabetes mellitus. In addition, 54 participants (27.7%) reported active smoking and 104 (53.9%) reported occasional alcohol consumption.
The average latencies of waves I, III, and V and intervals I-III, III-V and I-V were similar in both ears. However, a significant increase in latencies of the waves was observed in each age group. In both ears, wave I showed a longer average latency in people ≥ 45 years. However, interval latencies showed no significant increase among the different age categories.
A comparative analysis was performed by sex; in the left ear, women had shorter latency periods compared to men. This pattern was similar in the right ear, but only in wave III (Figures 1 and 2).
Figure 1 Average latency periods of waves of BEAP by sex in a sample of Mexican adults in 2009
Figure 2 Average latency periods of intervals of BEAP by sex in a sample of Mexican adults in 2009
According to the analysis by sex and age, significant differences were observed in women in most waves and intervals (Table I). The comparison by sex showed that there are differences in the average time of latencies of all waves and intervals of the right ear, except in wave I (Figures 1 and 2). In the left ear, differences in waves I, III, and V were found, but not in the intervals (Table II).
Table I Average latency periods of waves (I, III, and V) and intervals (I-III, III-V, and I-V) by sex and age group in a sample of Mexican adults in 2009 | |||||
Waves and intervals | Age groups (n) |
Latency of right ear in ms
Average ± SD (min-max) |
Latency of left ear in ms
Average ± SD (min-max) |
||
Male | Female | Male | Female | ||
Wave I | ≤ 24 (62) |
1.71 ± 0.175
(1.3-2.08) |
1.72 ± 0.156
(1.54-2.2) |
1.76* ± 0.138
(1.6-2.1) |
1.66* ± 0.124
(1.45-1.9) |
25-34 (79) |
1.71 ± 0.117
(1.45-2) |
1.72 ± 0.153
(1.47-2.15) |
1.73 ± 0.134
(1.49-2.05) |
1.71 ± 0.186
(1.32-2.36) |
|
35-44 (36) |
1.78 ± 0.173
(1.6-2.1) |
1.72 ± 0.110
(1.55-1.95) |
1.80* ± 0.220
(1.6-2.45) |
1.67* ± 0.134
(1.45-1.95) |
|
≥ 45 (17) |
1.82 ± 0.178
(1.64-2.1) |
1.82 ± 0.142
(1.56-2.03) |
1.84 ± 0.185
(1.66-2.1) |
1.86 ± 0.168
(1.59-2.22) |
|
Wave III | ≤ 24 (65) |
3.89* ± 0.269
(3.24-4.91) |
3.80* ± 0.195
(3.45-4.24) |
3.91* ± 0.197
(3.5-4.5) |
3.78* ± 0.186
(3.46-4.18) |
25-34 (79) |
3.87 ± 0.194
(3.3-4.35) |
3.83 ± 0.128
(3.6-4.1) |
3.95* ± 0.201
(3.42-4.3) |
3.83* ± 0.206
(3.32-4.45) |
|
35-44 (36) |
4.02* ± 0.223
(3.65-4.48) |
3.81* ± 0.157
(3.55-4.1) |
3.92* ± 0.155
(3.65-4.15) |
3.82* ± 0.143
(3.55-4.05) |
|
≥ 45 (17) |
3.9 ± 0.119
(3.8-4.1) |
3.96 ± 0.108
(3.8-4.15) |
3.07 ± 0.384
(1.86-4.75) |
3.82 ± 0.674
(1.88-4.7) |
|
Wave V | ≤ 24 (62) |
5.85 ± 0.304
(5.33-6.67) |
5.74 ± 0.211
(5.4-6.28) |
5.83 ± 0.4
(3.85-6.6) |
5.69 ± 0.216
(5-6.08) |
25-34 (79) |
5.85* ± 0.242
(5.4-6.65) |
5.64* ± 0.249
(4.8-6.1) |
5.82* ± 0.241
(5.2-6.36) |
5.70* ± 0.266
(4.85-6.3) |
|
35-44 (36) |
5.93* ± 0.267
(5.35-6.3) |
5.68* ± 0.208
(5.2-6.05) |
5.84 ± 0.225
(5.45-6.19) |
5.78 ± 0.149
(5.55-6.04) |
|
≥ 45 (17) |
5.76 ± 0.463
(5.1-6.35) |
5.88 ± 0.185
(5.6-6.15) |
5.91 ± 0.247
(5.77-6.35) |
5.80 ± 0.591
(4.1-6.56) |
|
Interval I-III | ≤ 24 (62) |
2.18* ± 0.275
(1.44-2.91) |
2.07* ± 0.155
(1.79-2.4) |
2.14 ± 0.174
(1.75-2.5) |
2.13 ± 0.242
(1.82-2.92) |
25-34 (79) |
2.16* ± 0.210
(1.4-2.75) |
2.10* ± 0.153
(1.78-2.32) |
2.21* ± 0.196
(1.7-2.56) |
2.12* ± 0.187
(1.8-2.72) |
|
35-44 (36) |
2.23* ± 0.269
(1.65-2.45) |
2.08* ± 0.175
(1.84-2.3) |
2.11 ± 0.247
(1.5-2.45) |
2.15 ± 0.148
(2-2.5) |
|
≥ 45 (17) |
2.06 ± 0.126
(1.9-2.24) |
2.13 ± 0.162
(1.92-2.54) |
2.22 ± 0.247
(2.02-2.65) |
2.13 ± 0.357
(1.68-2.86) |
|
Interval III-V | ≤ 24 (62) |
1.95 ± 0.218
(1.38-2.18) |
1.94 ± 0.158
(1.65-2.25) |
1.97* ± 0.201
(1.28-2.42) |
1.90* ± 0.172
(1.4-2.15) |
25-34 (79) |
1.97* ± 0.241
(1.47-2.85) |
1.81* ± 0.201
(1.2-2.3) |
1.87 ± 0.245
(1.05-2.3) |
1.86 ± 0.159
(1.25-2.26) |
|
35-44 (36) |
1.90 ± 0.145
(1.7-2.15) |
1.86 ± 0.139
(1.5-2.05) |
1.92 ± 0.211
(1.45-2.28) |
1.89 ± 0.192
(1.3-2.15) |
|
≥45 (17) |
1.86 ± 0.366
(1.3-2.25) |
1.92 ± 0.132
(1.75-2.1) |
1.84* ± 0.153
(1.6-2) |
2.12* ± 0.593
(1.43.-3.9) |
|
Interval I-V | ≤ 24 (62) |
4.13 ± 0.309
(3.52-4.9) |
4.02 ± 0.167
(3.75-4.42) |
4.11* ± 0.222
(3.55-4.7) |
4.02* ± 0.204
(3.35-4.45) |
25-34 (79) |
4.14* ± 0.254
(3.55-4.91) |
4.91* ± 0.227
(3.33-4.3) |
4.09* ± 0.264
(3.48-4.66) |
3.98* ± 0.221
(3.35-4.47) |
|
35-44 (36) |
4.14* ± 0.314
(3.35-4.6) |
3.95* ± 0.226
(3.34-4.25) |
4.04 ± 0.339
(3.1-4.42) |
4.05 ± 0.214
(3.5-4.4) |
|
≥45 (17) |
3.92 ± 0.452
(3.2-4.36) |
4.02 ± 0.253
(3.49-4.4) |
4.06 ± 0.169
(3.82-4.25) |
4.27 ± 0.561
(3.84-5.78) |
|
*p < 0.05 |
Table II Predictors of latency periods of waves I, III, and V and intervals I-III, III-V, and I-V of BEAP in both ears using multiple regression models, in a sample of Mexican adults in 2009 | ||||||
Right ear | Left ear | |||||
Variables | Coefficient
(ms) |
CI | Variables | Coefficient (ms) |
CI | |
Wave I | R2 = 0.025 | R2 = 0.072 | ||||
Males | 0.004 | -0.0382, 0.0461 | 0.062 | 0.0165, 0.1072* | ||
25-34 years | -0.001 | -0.0503, 0.0477 | 0.012 | -0.0404, 0.0650 | ||
35-44 years | 0.038 | -0.0226, 0.0984 | 0.033 | -0.0317, 0.0985 | ||
≥ 45 years | 0.106 | 0.0266, 0.1865* | 0.161 | 0.0746, 0.2467* | ||
Wave III | R2 = 0.064 | R2 = 0.05 | ||||
Males | 0.078 | 0.0272, 0.1301* | 0.121 | 0.0500, 0.1921* | ||
25-34 years | 0.014 | -0.0461, 0.0741 | 0.069 | -0.0137, 0.1515 | ||
35-44 years | 0.087 | 0.0128, 0.1612* | 0.044 | -0.0577, 0.1463 | ||
≥ 45 years | 0.120 | 0.0225, 0.2186* | 0.092 | -0.0425, 0.2271 | ||
Wave V | R2 = 0.066 | R2 = 0.020 | ||||
Males | 0.143 | 0.070, 0.2157 | 0.112 | 0.0251, 0.1981* | ||
25-34 years | -0.022 | -0.107, 0.0622 | 0.015 | -0.0855, 0.1155 | ||
35-44 years | 0.040 | -0.064, 0.1444 | 0.062 | -0.0625, 0.1858 | ||
≥ 45 years | 0.106 | -0.032, 0.2438 | 0.111 | -0.0530, 0.2751 | ||
Interval I-III | R2 = 0.023 | R2 = 0.001 | ||||
Males | 0.074 | 0.0190, 0.1300* | 0.041 | -0.0205, 0.102 | ||
25-34 years | 0.015 | -0.049, 0.0799 | 0.047 | -0.0245, 0.118 | ||
35-44 years | 0.049 | -0.0306, 0.1288 | 0.001 | -0.0872, 0.089 | ||
≥ 45 years | 0.014 | -0.0913, 0.1193 | 0.036 | -0.0802, 0.153 | ||
Interval III-V | R<2 = 0.0135 | R2 = 0.026 | ||||
Males | 0.065 | 0.0069, 0.1227* | 0.009 | -0.0609, 0.0782 | ||
25-34 years | -0.036 | -0.1038, 0.0307 | -0.085 | -0.1664, -0.0048* | ||
35-44 years | -0.047 | -0.1300, 0.0361 | -0.039 | -0.1387, 0.0609 | ||
≥ 45 years | -0.015 | -0.1243, 0.0951 | 0.090 | -0.0416, 0.2221 | ||
Interval I-V | R2 = 0.0554 | R2 = 0.016 | ||||
Males | 0.142 | 0.0678, 0.2160* | 0.053 | -0.0249, 0.1320 | ||
25-34 years | -0.021 | -0.1070, 0.0653 | -0.030 | -0.1208, 0.0616 | ||
35-44 years | 0.002 | -0.1042, 0.1086 | -0.029 | -0.1415, 0.0838 | ||
≥ 45 years | -0.026 | -0.1670, 0.1142 | 0.148 | -0.0004, 0.2974 | ||
*p < 0.05; CI = confidence interval; R2 = determination coefficient (the variability of response, explained by the model) |
Multiple linear regression models were performed to identify predictors of variability in latency of the waves and intervals. In this sense, male sex and age ≥ 45 years were the variables that showed statistically significant differences for most waves and intervals included in the models (Table II).
In the model that included sex, average latencies in both ears showed statistically significant differences in waves III and V, as well as the intervals I-III and I-V. Differences were also found in waves I and III in the group ≥ 45 years, compared with the younger age group taken as a reference (Table II).
The findings of this study show the differences between men and women according to the age groups constructed. Differences in latency times were observed in all age groups, mainly in the groups of 25-34 years and 35-44 years, for waves III and V and intervals I-III and IV, similar to results reported by Michalewsky et al. and Houston et al.13,14
Sex differences were observed in all age groups, women having shorter latencies compared to men. As for these differences, Stochard et al. reported that women had shorter latencies compared to men; this feature was attributed to the fact that women have shorter auditory pathway segments because the size of their brains is smaller, with reference to cephalic perimeter measurements.3 These results have been replicated in several reports,14-17 although the origin of these differences are not fully known. A possible anatomical explanation is that women have a smaller head size compared to men;3,14 however, some reports have shown that men have longer latencies compared with women with a similar cephalic diameter.17 So, other factors must influence these differences. Some authors have evaluated the role of sex hormones in the auditory pathway. Elkind-Hirsch et al. found an increase in waves III and V and in the I-V interpeak interval associated with the hyperestrogenic state in healthy women with normal menstrual cycles.18 Recent evidence has demonstrated the presence of estrogen receptors (ER-alpha and ER-beta) in the human inner ear, including type 1 spiral ganglion cells, the stria vascularis, and cochlear blood vessels. Theoretically, estrogen can affect auditory function at different levels within the central nervous system (CNS) as a modulator of GABAergic, serotonergic, and glutamatergic systems.19 In our study, the levels of estrogen and head circumference were not measured or correlated.
While differences were found in most latencies as age increased, these were not significant, probably due to fewer participants in the older group. Some studies have documented differences by age- mainly between child and adult populations- related to CNS development;14 some other reports have found longer latencies in older adults,20 while others have not.21 Some reports have found a significant increase due to age in wave III and a minor effect on the other waves and intervals.17,22 The results found in our study showed an effect on the latency of waves I and V as participant age increased, suggesting peripheral auditory changes at the midbrain level with age. Also, wave V showed a greater difference in latency between the sexes (Figures 1 and 2) (Table I).
Hypoglycemia has been linked to an increase in latencies of III-V and I-V intervals.3 However, statistical analysis was done to rule out BAEP modifications due to higher than normal glucose levels but no significant differences were found.
Multiple regression models included all demographic variables, in addition to laboratory results and BAEP. The variables with high R2 and the largest beta coefficient were age and sex.
In this regard, it was found that for all latencies of waves and intervals, men tend to have longer latency times. In terms of age, only waves I and III had a positive correlation with increasing age. Trune et al. reported similar results using linear regression models.17 In addition, Mitchell et al. conducted a simple regression model adjusted for age and found a positive correlation between the latter and the latencies of the waves, as well as longer latencies in men.20
One of the main causes of occupational hearing loss is noise exposure, together with organic solvents,23-25 which affect the central auditory pathway.25,26 While most human studies have used audiometry as a method of assessing the damage caused by organic solvents, few studies have explored the effects these substances incur at the central level.27 In addition, there is no consensus for assessing simultaneous exposure to noise and organic solvents, or hearing impairment prevention programs or surveillance of populations at risk.28 Therefore, it is important to establish a battery of tests to fully assess hearing damage, with BAEP a possible tool for this purpose.
The limitations of this study include its retrospective nature, and the lack of measurements of participant head circumference, which may have been correlated with average times of waves and intervals. In addition, the exclusion of subjects over 65 and the small number of participants in the category ≥ 45 years probably contributed to the differences between younger and older people being minimal.
Since the population was not selected randomly and is not representative of the adult population insured by IMSS, the results lack external validity for use as reference values in other studies; however, because measurement errors and the effect of confounding variables were controlled, the results have internal validity for our research purposes as useful reference values for audiological studies we conduct, including BAEP evaluation.
This study determined the average latencies of waves and intervals of BAEPs in a sample of Mexican adults.
According to multiple linear regression models, age and sex were the variables with the greatest statistical power to explain the differences in latencies of this population. This research also contributes to consolidating the evidence for the standardization of BAEP, emphasizing the importance of generating reference values and reliable standards for testing BAEP, in order to use this diagnostic tool in healthy populations and those at risk of hearing pathologies.
To all participants who contributed to this study and to the CMN SXXI Blood Bank staff who worked with us.
Conflict of interest statement: The authors have completed and submitted the form translated into Spanish for the declaration of potential conflicts of interest of the International Committee of Medical Journal Editors, and none were reported in relation to this article.