ORIGINAL RESEARCH article

Front. Physiol., 14 March 2023

Sec. Integrative Physiology

Volume 14 - 2023 | https://doi.org/10.3389/fphys.2023.1089837

The effect of transcutaneous electrical stimulation of the submental area on the cardiorespiratory response in normal and awake subjects

  • 1. Centre for Human and Applied Physiological Sciences (CHAPS), Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom

  • 2. King’s College Hospital NHS Foundation Trust, London, United Kingdom

  • 3. Department of Respiratory Therapy, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia

  • 4. Lane Fox Unit / Sleep Disorders Centre, Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom

  • 5. Department of Cardiology, IRCCS Istituto Auxologico Italiano, Milan, Italy

  • 6. Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy

  • 7. Institute of Pharmaceutical Science, King’s College London, London, United Kingdom

Article metrics

View details

1

Citations

3,6k

Views

1,1k

Downloads

Abstract

Background: Electrical stimulation has recently been introduced to treat patients with Obstructive sleep apnoea There are, however, few data on the effects of transcutaneous submental electrical stimulation (TES) on the cardiovascular system. We studied the effect of TES on cardiorespiratory variables in healthy volunteers during head-down-tilt (HDT) induced baroreceptor loading.

Method: Cardiorespiratory parameters (blood pressure, heart rate, respiratory rate, tidal volume, airflow/minute ventilation, oxygen saturation, and end-tidal CO2/O2 concentration) were recorded seated, supine, and during head-down-tilt (50) under normoxic, hypercapnic (FiCO2 5%) and poikilocapnic hypoxic (FiO2 12%) conditions. Blood pressure (BP) was measured non-invasively and continuously (Finapres). Gas conditions were applied in random order. All participants were studied twice on different days, once without and once with TES.

Results: We studied 13 healthy subjects (age 29 (12) years, six female, body mass index (BMI) 23.23 (1.6) kg·m−2). A three-way ANOVA indicated that BP decreased significantly with TES (systolic: p = 4.93E-06, diastolic: p = 3.48E-09, mean: p = 3.88E-08). Change in gas condition (systolic: p = 0.0402, diastolic: p = 0.0033, mean: p = 0.0034) and different postures (systolic: 8.49E-08, diastolic: p = 6.91E-04, mean: p = 5.47E-05) similarly impacted on BP control. When tested for interaction, there were no significant associations between the three different factors electrical stimulation, gas condition, or posture, except for an effect on minute ventilation (gas condition/posture p = 0.0369).

Conclusion: Transcutaneous electrical stimulation has a substantial impact on the blood pressure. Similarly, postural changes and variations in inspired gas impact on blood pressure control. Finally, there was an interaction between posture and inspired gases that affects minute ventilation. These observations have implications on our understanding of integrated cardiorespiratory control, and may prove beneficial for patients with SDB who are assessed for treatment with electrical stimulation.

Introduction

Obstructive sleep apnoea (OSA) is a highly prevalent condition that affects about one billion people worldwide (Benjafield et al., 2019). In patients with OSA, intermittent and repeated upper airway collapse during sleep results in irregular breathing at night. Nocturnal apnoeas and hypopnoeas lead to an altered drive to breathe, high work of breathing, oxygen desaturations, and arousals from sleep (Hilton et al., 2001). These effects can cause daytime symptoms, such as sleepiness, and are associated with increased sympathetic tone activation and elevated blood pressure (Remmers et al., 1978). OSA is associated with co-morbidities, including hypertension (Marin et al., 2005; Parati et al., 2014), ischaemic heart disease (Martinez et al., 2012), stroke (Palomäki et al., 1989), congestive heart failure (Bradley et al., 1985), obesity and metabolic syndrome (Levy et al., 2009), and diabetes (Punjabi et al., 2002).

Treatment of OSA includes continuous positive airway pressure (CPAP), and mandibular advancement devices (MAD) (National Institute for Care Excellence, 2021). Primary airway therapies aim to maintain upper airway patency during sleep and lead to a normalisation of the work of breathing and prevention of apnoeas, hypopnoeas, and arousals from sleep that could cause the sympathetic response. Long-term therapy of OSA improves daytime symptoms and, potentially, long-term cardiovascular risks (Somers et al., 2008).

CPAP therapy remains the most common treatment for moderate-to-severe OSA, while for milder cases of OSA, MADs can also be effective (NICE (National Institute for Health and Care Excellence), 2008). However, long-term adherence to CPAP therapy is limited, with only 70% adherence at 3-month (Benjafield et al., 2019b) and further reductions at later follow up (Benjafield et al., 2021). Non-CPAP therapies provide alternatives for patients who have difficulties with long-term compliance to CPAP (Randerath et al., 2021) and may be preferred over conventional treatment (Campbell et al., 2015).

Recently, electrical stimulation invasively applied using hypoglossal nerve stimulation (HNS) (Strollo et al., 2014) or transcutaneous electrical stimulation (TESLA) in the submental area to target the upper airway dilator muscles, particularly the genioglossus muscle, has been developed to treat OSA (Pengo et al., 2016). The randomised controlled trial using HNS (STAR-trial) reported modest improvements in the diastolic blood pressure with no significant changes in systolic blood pressure or heart rate over a 1-year period (Strollo et al., 2014). However, data on the acute cardiorespiratory responses to transcutaneous electrical stimulation of the upper airway dilator muscles, in both health and disease remain sparse (Pengo and Steier, 2015). This is a study to consider the physiological response to the use of electrical stimulation in direct proximity to the carotides, as hypoglossal nerve stimulation (HNS) and transcutaneous electrical stimulation is nowadays being used to treat obstructive sleep apnoea; the purpose of this study was to test the effects of the current has on the cardiorespiratory system in a cohort of normal subject (Strollo et al., 2014).

We hypothesize that acute application of transcutaneous electrical stimulation of the submental area will influence cardiovascular control in healthy, awake subjects. In the current study, we sought to describe the effect of transcutaneous electrical stimulation of the submental area on the cardiorespiratory control, for this particular purpose, we recorded beat-by-beat blood pressure with other cardiopulmonary variables when exposed to room air, hypoxic and hypercapnic gas mixtures (chemosensitivity) while in seated and supine postures, as well as with 50° HDT (baroreceptor response) while using electrical stimulation of the submental area (TES).

Methods and subjects

The study was approved by the local research ethics committee (King’s College London; RESCM-20/21-8487) and performed in accordance with the Declaration of Helsinki. All participants received an information sheet and provided informed and written consent prior to participation.

Subjects

We included healthy, normal- and slightly overweight subjects of both sexes over 16 years of age. All participants were non-smokers and free of cardiorespiratory and other significant acute or chronic illness and had normal blood pressure. Participants visited the respiratory physiology laboratory on two occasions at least 1 week apart, with one visit acting as control without electrical stimulation and the other during which TES was used during in all postures and gas conditions.

Inclusion criteria

Subjects for the study met all the following criteria: age >16 years, body-mass index (BMI) > 18.5 and <30 kg/m2, non-smoker, and clinically stable in the last 28 days.

Exclusion criteria

Subjects were excluded from the study if any of the following conditions were met: history of cardiovascular, respiratory, or neuromuscular disease, cardiac pacemaker, active seizures, current smokers, acute illness, allergy to skin patches, oobesity (BMI>30 kg/m2) or cachexia (BMI<18.5 kg/m2), and vertigo.

Primary and secondary outcomes

The primary outcome of the study was the change in the diastolic blood pressure (BP) with electrical stimulation, affecting baro- and chemoreceptor response. Secondary outcomes were changes in other cardiovascular (systolic/mean BP, heart rate) and respiratory variables (respiratory rate, tidal volume, minute ventilation, modified Borg scale) during electrical stimulation.

Equipment

Following the baseline visit without electrical stimulation the participants were continuously stimulated using electrical current in the submental area (4 × 4 cm dermal patches; Med-Fit Plus Ltd., Stockport, United Kingdom), at a frequency of 30 Hz and a pulse width of 250 microseconds during the second visit. Intensity of the electrical current was titrated according to individual comfort using a TENS machine (Premier Combo Plus, the TENS + Company Lets, Stockport, United Kingdom, placed in the submental area midway between angle of mandible and the chin (Figure 1) as previously described elsewhere (Steier et al., 2011). Continuous, beat-by-beat arterial blood pressure was measured continuously using digital artery photoplethysmography (Finapres, Ohmeda 2,300, BOC Healthcare, Englewood CO, United States of America). Heart rate was measured from the electrocardiogram (ECG) with electrodes positioned in the lead II configuration (ML132 bioamplifier, ADInstruments, Oxford, United Kingdom).

FIGURE 1

Respiratory flow was measured via a mouthpiece, with the subject wearing a noseclip using a pneumotachograph (4,800 series, Hans Rudolph Inc., Shawnee Kansas, United States of America) and associated differential pressure transducer (Spirometer, ADInstruments, Oxford, United Kingdom). The distal end of the pneumotachograph was attached to a two way non-rebreathing valve (2,700 series, Hans Rudolph Inc., Shawnee, Kansas, United States of America, deadspace 77 ml) with inspired and expired gases measured continuously using a gas analyser (ML, 206, ADInstruments, Oxford, United Kingdom), connected to a side port on the pneumotachograph via a fine-bore catheter. Blood oxygen saturation (SpO2) was measured using a pulse oximeter (Sat 805 pulse oximeter, Charter Kontron, United Kingdom) attached to the subject’s finger. All data were acquired (PowerLab 16, ADInstruments, Oxford, United Kingdom) with 1 Khz sampling and displayed (LabChart ver 8, ADInstruments, Oxford, United Kingdom). Tidal volume was obtained by digital integration of flow by the acquisition software.

An open circuit (Figure 2) was used to deliver a continuous supply of medical air (wall outlet) to the inspiratory port of the two-way non-rebreathing valve via a low volume (2.5 L) reservoir bag. The inspired gas could be enriched with 100% nitrogen or 100% carbon dioxide from cylinders (BOC, Guildford, United Kingdom) to provide the appropriate inspired gas concentration. Three inspired gas mixtures were used; medical air (21% O2, balance N2), poikilokapnic hypoxia (12% O2, balance N2) and normoxic hypercapnia (5% CO2, balance N2). Symptoms of breathlessness were scored using the modified Borg scale in each posture (seated, supine, and 50°HDT).

FIGURE 2

An electrically operated tilt table (Plinth2000 Ltd., Stowmarket, United Kingdom) which could be adjusted from 0° (flat) to 50°HDT was used to change posture.

Short protocol

The following parameters were recorded at baseline: Demographic data (date of birth, height, weight, body mass index, ethnicity, and gender), clinical history, and medications. The neck, hips, and waist were measured along with vital signs (heart rate and blood pressure).

Measurements were first recorded in the seated position with the subject exposed to 5 min of each gas mixture, randomly assigned, before moving to the tilt table with measurements commencing in the supine position. Subjects were secured to the tilt table using a foam mattress and a foot strap across the ankles. Participants were familiarized with the 50°HDT procedure prior to the experiment commencing. After an initial period of stabilisation (at least 5 min) in the supine position, a period of 5 min resting breathing was recorded. The table was then tilted to the 50°HDT for 10 min. At the end of the 50°HDT, the subject was returned to the supine position for a further 5 min. Spontaneous ventilation and end-tidal gases (EtO2, EtCO2), and oxygen saturations were recorded throughout. The tilt table procedure was repeated three times with the subject breathing in random order (Figure 3). Participants were blinded to the identity of the gas being administered. For safety, the stop criterion for the hypoxic gas mixture was achieved if the arterial oxygen saturation (SpO2) dropped below 80%. To account for equilibration for change in posture and different gas mixtures, the final 2 min of recording for each posture and each gas mixture were analysed and an average reported for each variable.

FIGURE 3

Data processing

All data were recorded in real-time using LabChart software (Chart V8, ADInstruments, Dunedin, New Zealand) with an analog-to-digital conversion at a sampling of 1 kHz. Data were exported and assigned key time periods for further analysis. Each variable was averaged over the last 2 min in seated, supine, and HDT positions. Respiratory variables (tidal volume (Vt) and respiratory rate (RR)) were extracted and multiplied to calculate minute ventilation (VE). Systolic (SBP), diastolic (DBP), and pulse blood pressure (pBP) was computed as pBP = SBP-DBP, and mean arterial pressure (MAP) was calculated as MAP = 1/3 SBP + 2/3 DBP. Heart Rate was derived from the 3-lead ECG, and SpO2 from the pulse oximeter.

Sample size calculation

Based on the sample size of 13 subjects, the study detected a treatment difference at a two-sided significance level of 0.025 if the true mean difference in diastolic blood pressure (electrical stimulation on vs. off) was at least 8.049 mmHg (SD 10.6) with 80% power. The variable calculated was the minimal detectable difference in mean diastolic blood pressure, based on previous data (Strollo et al., 2014).

Statistical analysis

Following testing for normality, data were presented as mean (SD) unless otherwise indicated. Data were analysed using a three-way analysis of variance (ANOVA)) followed by a Tukey’s test using the ‘anovan’ and ‘multcompare’ function of MATLAB (Version 2022B, MathWorks Ltd, Natick/MA, United States of America) to evaluate overall effects of three factors: a) TES (on/off), b) posture (seated, supine, HDT), and c) inspired gas (RA, hypercapnia, and hypoxia); furthermore, baroreflex and chemoreflex interaction was tested with the combination of these three factors. A level of significance was defined as p < 0.05.

Results

We studied 13 healthy subjects (age 29 (12) years, six female, BMI 23 (1.6) kg/m2, waist: hip (W: H) ratio 0.87 (0.05)) (Supplementary Table S1). Two more volunteers were unable to participate in the second visit and had incomplete datasets recorded for the primary outcome, these were not included in the analysis. Subjects used an electrical current of 8 (2) mA, which had been titrated to a comfortable and tolerable level of skin sensation. There were no adverse events, and no participant required electrical stimulation to be stopped.

Cardiovascular variables

Systolic blood pressure

A marked reduction in systolic blood pressure during electrical stimulation was observed under hypoxic conditions in the HDT posture; there was also a trend towards reduction in other postures. (Table 1).

TABLE 1



Posture


Gas mixtures
Systolic blood pressure (mmHg)
Visit 1 (TENS-)Visit 2 (TENS+)Delta Δ95% CI
SeatedRoom Air142.33 (20.34)127.56 (17.87)-14.76 (22.90)-36.10 to 6.572
Hypercapnoea155.44 (20.85)139.42 (18.26)-16.02 (23.99)-38.37 to 6.324
Hypoxia148.81 (23.28)134.69 (15.91)-14.13 (24.52)-36.96 to 8.713
SupineRoom Air129.73 (20.55)123.14 (16.62)- 6.59 (26.05)-30.86 to 17.68
Hypercapnoea137.42 (27.25)131.12 (20.69)- 6.29 (26.92)-31.37 to 18.78
Hypoxia142.19 (20.32)125.64 (19.01)-16.55 (26.68)-41.65 to 8.552
HDT 50°Room Air121.47 (19.69)116.40 (21.85)- 5.07 (23.13)-26.62 to 16.48
Hypercapnoea130.61 (25.91)116.13 (23.47)-14.48 (27.31)-39.92 to 10.96
Hypoxia132.98 (20.68)112.03 (18.82)-20.95 (19.97)-39.55 to -2.349

Systolic blood pressure with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. 95% CI, 95% confidence interval.

Diastolic and Mean Blood Pressure

A marked reduction in both diastolic and mean arterial blood pressures were also observed during electrical stimulation in supine and HDT postures. There was also a tendency towards a reduction in diastolic blood pressure during electrical stimulation when seated under hypoxic conditions, and during HDT both under hypercapnic and room air conditions. (Tables 2, 3).

TABLE 2



Posture


Gas mixtures
Diastolic blood pressure (mmHg)
Visit 1 (TENS-)Visit 2 (TENS+)Delta Δ95% CI
SeatedRoom Air86.41 (15.89)76.00 (13.24)-10.41 (17.80)-26.99 to 6.176
Hypercapnoea95.17 (16.55)85.95 (11.11)- 9.22 (14.86)-23.07 to 4.629
Hypoxia90.09 (14.22)79.50 (11.94)-10.58 (14.71)-24.28 to 3.122
SupineRoom Air79.14 (11.28)76.52 (15.20)- 2.62 (18.22)-19.60 to 14.35
Hypercapnoea88.38 (15.15)82.23 (14.31)- 6.15 (18.62)-23.49 to 11.19
Hypoxia91.63 (11.28)73.83 (12.20)-17.80 (13.60)-30.48 to -5.131
HDT 50°Room Air77.79 (17.32)68.97 (20.25)- 8.82 (20.10)-27.54 to 9.903
Hypercapnoea89.14 (18.08)71.60 (13.32)-17.53 (19.68)-35.87 to 0.8050
Hypoxia86.96 (13.69)64.96 (12.04)-22.01 (15.74)-36.67 to -7.345

Diastolic blood pressure with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. 95% CI, 95% confidence interval.

TABLE 3



Posture


Gas mixtures
Mean blood pressure (mmHg)
Visit 1 (TENS-)Visit 2 (TENS+)Delta Δ95% CI
SeatedRoom Air101.74 (15.18)94.67 (12.35)- 7.07 (13.66)-19.79 to 5.657
Hypercapnoea115.37 (16.92)102.29 (13.58)-13.08 (19.59)-31.33 to 5.176
Hypoxia109.02 (17.34)97.87 (12.33)-11.15 (17.38)-27.34 to 5.035
SupineRoom Air98.42 (10.91)91.88 (16.46)- 4.13 (20.67)-23.39 to 15.12
Hypercapnoea104.73 (18.34)97.55 (16.59)- 7.17 (20.78)-26.54 to 12.19
Hypoxia108.49 (12.77)89.35 (14.23)-19.14 (15.79)-33.85 to -4.430
HDT 50°Room Air92.35 (17.15)86.01 (17.86)- 6.34 (19.39)-24.40 to 11.73
Hypercapnoea102.96 (19.13)88.95 (11.32)-14.01 (20.13)-32.76 to 4.740
Hypoxia102.30 (14.57)81.75 (11.82)-20.55 (15.48)-34.98 to -6.129

Mean blood pressure with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD), HDT: head down tilt. TENS-, electrical current off. TENS + electrical current turned on. 95% CI, 95% confidence interval.

Pulse pressure

There was no significant change to the pulse pressure when applying electrical stimulation, independent of different postures and gas mixtures. (Table 4).

TABLE 4



Posture


Gas mixtures
Pulse pressure (mmHg)
Visit 1 (TENS-)Visit 2 (TENS+)Delta Δ95% CI
SeatedRoom Air53.50 (10.11)51.35 (13.01)-2.15 (10.62)-8.569 to 4.269
Hypercapnoea62.43 (11.75)53.47 (13.61)- 8.96 (10.31)-18.58 to 0.6577
Hypoxia58.72 (13.31)55.02 (11.51)-3.69 (15.14)-13.01 to 5.615
SupineRoom Air49.85 (12.71)46.69 (11.58)-3.16 (15.64)-11.21 to 7.208
Hypercapnoea48.03 (16.85)48.88 (14.01)0.84 (16.92)-14.91 to 16.61
Hypoxia50.33 (16.14)51.81 (15.80)1.48 (23.18)-12.53 to 15.49
HDT 50°Room Air44.01 (13.01)47.40(16.36)3.39(21.82)-9.107 to 16.58
Hypercapnoea42.36 (19.01)44.90(15.85)2.53(20.84)-16.88 to 21.96
Hypoxia46.01 (15.72)47.07(16.61)1.05(21.25)-11.79 to 13.90

Pulse Pressure with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

Heart rate

The heart rate did not significantly change with electrical stimulation, and this observation was independent of posture or gas mixture. (Table 5).

TABLE 5



Posture


Gas mixtures
Heart rate (BPM)
Visit 1 (TENS-)Visit 2(TENS+)Delta Δ95% CI
SeatedRoom Air69.65 (10.44)73.25 (11.19)3.60 (10.70)-2.861 to 10.07
Hypercapnoea73.91 (9.90)76.91 (12.79)2.92 (8.01)-7.755 to 1.909
Hypoxia77.71 (7.80)79.85 (13.59)2.14 (12.10)-9.455 to 5.171
SupineRoom Air62.49 (6.54)65.38 (12.23)2.89 (7.65)-1.733 to 7.507
Hypercapnoea64.33 (7.08)66.87 (11.71)2.53 (9.40)-8.216 to 3.147
Hypoxia72.53 (8.10)71.56 (13.69)- 0.97 (8.57)-4.210 to 6.151
HDT 50°Room Air62.74 (10.31)66.28 (13.15)3.54 (7.48)-0.9742 to 8.060
Hypercapnoea70.86 (17.20)69.13 (13.78)1.51 (12.42)-9.023 to 12.03
Hypoxia74.24 (7.24)72.51 (13.17)-1.73 (13.17)-3.680 to 7.151

Heart rate with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

Respiratory variables

There was no change in the respiratory rate with electrical stimulation in any of the three postures studied. (Table 6).

TABLE 6



Posture


Gas mixtures
Respiratory rate (1 x min−1)
Visit 1 (TENS-)Visit 2 (TENS+)Delta Δ95% CI
SeatedRoom Air17.14 (4.82)17.24 (3.72)0.10 (4.27)-3.881 to 4.080
Hypercapnoea18.78 (4.51)19.74 (4.65)0.96 (3.30)-2.114 to 4.029
Hypoxia18.06 (4.56)17.07 (3.59)- 0.99 (3.50)-4.253 to 2.273
SupineRoom Air17.18 (3.86)17.25 (3.82)0.07 (3.52)-3.211 to 3.345
Hypercapnoea19.29 (3.22)19.09 (4.28)- 0.19 (2.62)-2.638 to 2.252
Hypoxia17.83 (4.05)15.12 (4.36)- 2.71 (4.74)-7.118 to 1.705
HDT 50°Room Air18.64 (4.12)19.93 (4.32)1.28 (2.66)-1.194 to 3.762
Hypercapnoea20.93 (3.27)20.18 (4.68)- 0.75 (3.36)-3.886 to 2.383
Hypoxia17.95 (4.65)18.83 (5.83)0.89 (5.83)-4.373 to 6.148

Respiratory rate with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD), HDT: head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

Tidal volume and minute ventilation

There was a trend towards increased tidal volume in the supine posture under hypercapnic conditions with electrical stimulation, although this did not reach significance. (Table 7) Additionally, there was increased minute ventilation with electrical stimulation (p=0.0443; Table 8;Figure 4; details is provided in Supplementary Table S3).

TABLE 7



Posture


Gas mixtures
Tidal volume (ml)
Visit 1 (TENS-)Visit 2 (TENS+)Delta Δ95% CI
SeatedRoom Air590.47 (198.82)684.74 (272.43)94.27 (198.72)- 90.86 to 279.4
Hypercapnoea1,217.12 (389.39)1,239.29 (379.90)21.39 (253.26)- 214.5 to 257.3
Hypoxia653.90 (191.62)774.35 (231.62)120.45 (217.75)- 82.40 to 323.3
SupineRoom Air543.40 (251.31)523.86 (170.34)-19.54 (177.51)- 184.9 to 145.8
Hypercapnoea903.30 (380.17)1,107.63 (313.08)204.33 (259.80)- 37.69 to 446.4
Hypoxia587.55 (167.05)597.86 (174.17)10.31 (164.75)- 143.2 to 163.8
HDT 50°Room Air540.18 (201.51)468.71 (143.02)-71.47 (190.91)- 249.3 to 106.4
Hypercapnoea1,100.43 (378.97)1,245.24 (464.19)144.81 (381.93)- 211.0 to 500.6
Hypoxia606.62 (160.60)610.96 (151.57)4.34 (193.44)- 175.9 to 184.5

Tidal volume with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD). HDT, head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

TABLE 8



Posture


Gas mixtures
Minute ventilation (L x min-1)
Visit 1 (TENS-)Visit 2 (TENS+)Delta Δ95% CI
SeatedRoom Air9.54 (2.40)11.17 (3.40)1.63 (2.81)- 0.9907 to 4.242
Hypercapnoea21.69 (4.55)22.98 (3.48)1.29 (5.36)- 3.709 to 6.284
Hypoxia11.49 (3.52)12.65 (2.59)1.17 (4.63)-3.149 to 5.481
SupineRoom Air8.70 (2.54)8.69 (2.27)- 0.01 (2.17)-2.028 to 2.009
Hypercapnoea16.86 (5.34)20.18 (3.58)3.33 (5.24)-1.552 to 8.203
Hypoxia10.28 (3.17)8.80 (2.74)- 1.48 (3.62)-4.852 to 1.897
HDT 50°Room Air9.55 (2.42)9.01 (2.21)- 0.54 (2.02)-2.415 to 1.345
Hypercapnoea22.43 (5.59)23.61 (6.16)1.18 (4.85)-3.340 to 5.698
Hypoxia10.62 (3.40)11.15 (3.69)0.33 (4.10)- 3.294 to 4.351

Minute ventilation with and without electrical stimulation in seated, supine and HDT postures. Data are presented as mean (SD), HDT: head down tilt. TENS-, electrical current off. TENS + electrical current turned on. CI, 95% confidence interval.

FIGURE 4

End-tidal carbon dioxide (ETCO2) and oxygen saturation

No changes in EtCO2 during electrical stimulation in seated, supine or HDT posture were observed when breathing room air, under hypoxic or hypercapnic conditions. The SpO2 did not change when comparing electrical stimulation to baseline in any posture or gas condition studied.

Modified borg scale

There was no significant change in the breathlessness scores when applying electrical stimulation, independent of posture and gas mixture. (Supplementary Table S2).

3-Way ANOVA

In a 3-way ANOVA, BP decreased significantly with TES (systolic: p = 4.3E-06, diastolic: p = 3.01E-09, mean: p = 3.26E-08). Change in gas condition (systolic: p = 0.0386, diastolic: p = 0.0032, mean: 3.2E-03) and different postures (systolic: 6.91E-08, diastolic: p = 6.55E-04, mean: p = 4.91E-05) similarly impacted on BP control. There were no significant interactions between the three different factors: electrical stimulation, gas condition, or posture, except for an effect on minute ventilation (gas condition/posture p = 0.0348; Figure 4 for supplemental information on the analysis please refer to Supplementary Table S3).

Discussion

The cardiorespiratory response to submental transcutaneous electrical stimulation, a novel therapeutic approach in OSA, applied during enhanced chemoreceptor (gas conditions) activation and baroreceptor (posture) loading demonstrates marked effects on cardiovascular control, with a modest effect on the respiratory control. Electrical stimulation appears to sensitise the arterial baroreceptor response resulting in decreased diastolic blood pressure, by 19%–25%, under hypoxic conditions (chemoreceptor) supine and with HDT (baroreceptor). The effect of electrical current on the systolic blood pressure was slightly less consistent, albeit a reduction of 16% was observed in HDT position under hypoxic conditions. There were no significant differences in the heart rate or the pulse pressure with electrical current; this was independent of posture or gas mixture used. Respiratory variables did not change significantly with electrical stimulation, except for the minute ventilation.

Significance of findings

A number of pathways are involved in the cardiovascular responses to systemic hypoxia (Marshall, 1994), involving the primary effects of peripheral chemoreceptor stimulation, secondary effects of ventilation, and direct effects of hypoxia on the heart and peripheral vasculature leading to subsequent effects on the autonomic and the central nervous system (Marshall, 1994). The full effects of ventilation, mediated by carbon dioxide and oxygen, on the cardiovascular system remain to be fully elucidated (Heistad et al., 1974). Importantly, there is cardiorespiratory interaction which is mediated via hypoxia and that affects the baroreflex response, as suggested by our observations. It has been described previously that stimulation of the chemoreceptors can lead to an increased heart rate and a change in the blood pressure (cardiovagal baroreflex) in humans (Bristow et al., 1971); (Bristow et al., 1974). This is further supported by recent evidence showing that exposure to hypoxia can alter the arterial baroreflex and change heart rate and sympathetic nerve activity with a higher blood pressure. (Heistad et al., 1974); (Halliwill and Minson, 2002); (Halliwill et al., 2003).

Electrical stimulation targets the upper airway dilator muscles, particularly the genioglossus muscle (GG), and counteracts their diminished neuromuscular state-dependent tone which promotes upper airway collapsibility (Mezzanotte et al., 1996). Both the invasive and transcutaneous approaches to stimulating the upper airway dilator muscles are beneficial for maintaining airway patency during sleep in patients with OSA (Strollo et al., 2014; Pengo et al., 2016) improving the AHI by a mean of 9.1 (95% confidence interval, CI 2.0, 16.2) events/hour and the 4% ODI improved by a mean of 10.0 (95% CI 3.9, 16.0) events/hour (Pengo et al., 2016). Furthermore, the initial feasibility studies used TESLA with a current of 10.1 (3.7) mA (Steier et al., 2011). In the current study, electrical stimulation was well tolerated and had no adverse effects, underlining its safety for the use in the submental area and its efficacy in lowering diastolic blood pressure. In the context of potential long-term treatments for patients with OSA who have a high prevalence of cardiovascular comorbidities it is important to highlight that heart rate did not change significantly. A reduction in the blood pressure, systolic and diastolic, remains a favourable outcome for patients with sleep-disordered breathing, as the cardiovascular risk is typically raised and treatment resistant hypertension is of clinical relevance in this cohort (Antic et al., 2015). There are various interactions between different types of sleep apnoea and cardiovascular variables (e.g., blood pressure). On the one hand, central sleep apnoea is driven by heart failure (Javaheri and Javaheri, 2022). On the other hand, obstructive sleep apnoea leads to an increased sympathetic tone with may impact on the blood pressure contributing to hypertension (Antic et al., 2015); (Pengo et al., 2021); (Pengo et al., 2020).

Limitations of the study

This prospective physiological study had a relatively small sample size and certain interactions could become more significant with a larger sample size, for example the effect of the three factors on minute ventilation. The effects of TES on the primary outcome variable, diastolic blood pressure, were highly consistently observed in all subjects with a large effect size. Longer steady state periods could have had further advantages over quasi-steady state achieved during the 5 min baseline periods used. The choice of this was pragmatic to allow for completion of what was a lengthy protocol and return of the healthy volunteers for a demanding second session. We were also limited with making causal inferences due to the observational nature of the design of the study. Despite a complex experimental setup, some parameters such as neural respiratory drive, blood gases, and perfusion could have provided helpful additional insights into the interaction between the cardiovascular, the respiratory, the peripheral autonomic and the central nervous system but were not measured on this occasion. In addition, this study focused on healthy subjects with normal blood pressure. Thus, further studies in subjects with hypertension and sleep-disordered breathing need to provide a comprehensive dataset on how electrical stimulation affects the chemo- and baroreceptor response in these clinically relevant cohorts. However, these points do not negate the insightful setup of a highly complex physiological experiment in human beings with a large effect size that enables to derive useful information for future clinical applications.

Conclusion

Electrical stimulation of the submental area affects the chemo- and the baroreceptor response in normal healthy volunteers resulting in substantially lower levels of blood pressure. Similarly, inspired gas and posture impact on blood pressure regulation. Furthermore, electrical stimulation might modulate the cardiovascular risk in patients with hypertension and sleep-disordered breathing, a hypothesis that warrants further investigation in the respective clinical cohorts.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving human participants were reviewed and approved by The study was approved by the local research ethics committee (King’s College London; RESCM-20/21-8487). The patients/participants provided their written informed consent to participate in this study.

Author contributions

AA, GR, and JS. Performed experiments AA, JS, and GR. Analyzed data. AA, GR, and JS. Interpreted results of experiments. AA. Prepared figures. AA and JS. Drafted manuscript. AA, GR, JS, MS-P, GK and GP. Edited and revised manuscript.

Acknowledgments

We are grateful for the input and support of the participants, as well as Irampaye Akbar, Niamh Carter, Michael Cheng during the physiological studies in the laboratory. Professor Steier’s contributions were partially supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, United Kingdom. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2023.1089837/full#supplementary-material

References

  • 1

    AnticN. A.HeeleyE.AndersonC. S.LuoY.WangJ.NealB.et al (2015). The sleep apnea cardioVascular endpoints (SAVE) trial: Rationale, ethics, design, and progress. Sleep38 (8), 1247–1257. 10.5665/sleep.4902

  • 2

    BenjafieldA.OldstoneL.WillesL.KellyC.NunezC.MalhotraA.et al (2021). Positive airway pressure therapy adherence with mask resupply: A propensity-matched analysis. J. Clin. Med.10 (4), 720. 10.3390/jcm10040720

  • 3

    BenjafieldA. V.AyasN. T.EastwoodP. R.HeinzerR.IpM. S. M.MorrellM. J.et al (2019). Estimation of the global prevalence and burden of obstructive sleep apnoea: A literature-based analysis. Lancet Respir. Med.7 (8), 687–698. [online] 7. 10.1016/s2213-2600(19)30198-5

  • 4

    BenjafieldA. V.PepinJ.-L. D.ValentineK.CistulliP. A.WoehrleH.NunezC. M.et al (2019). Compliance after switching from CPAP to bilevel for patients with non-compliant OSA: Big data analysis. BMJ Open Respir. Res.6 (1), e000380. 10.1136/bmjresp-2018-000380

  • 5

    BradleyT. D.RutherfordR.GrossmanR. F.LueF.ZamelN.MoldofskyH.et al (1985). Role of daytime hypoxemia in the pathogenesis of right heart failure in the obstructive sleep apnea syndrome. Am. Rev. Respir. Dis.131 (6), 835–839. 10.1164/arrd.1985.131.6.835

  • 6

    BristowJ.BrownE.JrCunninghamD.GoodeR.HowsonM.SleightP. (1971). The effects of hypercapnia, hypoxia and ventilation on the baroreflex regulation of the pulse interval. J. physiology216 (2), 281–302. 10.1113/jphysiol.1971.sp009525

  • 7

    BristowJ.BrownE.JrCunninghamD.HowsonM.LeeM.PickeringT.et al (1974). The effects of raising alveolar PCO2 and ventilation separately and together on the sensitivity and setting of the baroreceptor cardiodepressor reflex in man. J. physiology243 (2), 401–425. 10.1113/jphysiol.1974.sp010760

  • 8

    CampbellT.PengoM. F.SteierJ. (2015). Patients' preference of established and emerging treatment options for obstructive sleep apnoea. J. Thorac. Dis.7 (5), 938–942. 10.3978/j.issn.2072-1439.2015.04.53

  • 9

    HalliwillJ. R.MinsonC. T. (2002). Effect of hypoxia on arterial baroreflex control of heart rate and muscle sympathetic nerve activity in humans. J. Appl. Physiology93 (3), 857–864. 10.1152/japplphysiol.01103.2001

  • 10

    HalliwillJ. R.MorganB. J.CharkoudianN. (2003). Peripheral chemoreflex and baroreflex interactions in cardiovascular regulation in humans. J. physiology552 (1), 295–302. 10.1113/jphysiol.2003.050708

  • 11

    HeistadD. D.AbboudF. M.MarkA. L.SchmidP. G. (1974). Interaction of baroreceptor and chemoreceptor reflexes modulation of the chemoreceptor reflex by changes in baroreceptor activity. J. Clin. Investigation53 (5), 1226–1236. 10.1172/jci107669

  • 12

    HiltonM. F.ChappellM. J.BartlettW. A.MalhotraA.BeattieJ. M.CaytonR. M. (2001). The sleep apnoea/hypopnoea syndrome depresses waking vagal tone independent of sympathetic activation. Eur. Respir. J.17 (6), 1258–1266. 10.1183/09031936.01.00009301

  • 13

    JavaheriS.JavaheriS. (2022). Obstructive sleep apnea in heart failure: Current knowledge and future directions. J. Clin. Med.11 (12), 3458. 10.3390/jcm11123458

  • 14

    LevyP.BonsignoreM.EckelJ. (2009). Sleep, sleep-disordered breathing and metabolic consequences. Eur. Respir. J.34 (1), 243–260. 10.1183/09031936.00166808

  • 15

    MarinJ. M.CarrizoS. J.VicenteE.AgustiA. G. (2005). Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: An observational study. Lancet365 (9464), 1046–1053. 10.1016/S0140-6736(05)71141-7

  • 16

    MarshallJ. M. (1994). Peripheral chemoreceptors and cardiovascular regulation. Physiol. Rev.74 (3), 543–594. 10.1152/physrev.1994.74.3.543

  • 17

    MartinezD.KleinC.RahmeierL.Da SilvaR. P.FioriC. Z.CassolC. M.et al (2012). Sleep apnea is a stronger predictor for coronary heart disease than traditional risk factors. Sleep Breath.16 (3), 695–701. 10.1007/s11325-011-0559-0

  • 18

    MezzanotteW. S.TangelD. J.WhiteD. P. (1996). Influence of sleep onset on upper-airway muscle activity in apnea patients versus normal controls. Am. J. Respir. Crit. care Med.153 (6), 1880–1887. 10.1164/ajrccm.153.6.8665050

  • 19

    National Institute for Care Excellence (2021). Obstructive sleep apnoea/hypopnoea syndrome and obesity hypoventilation syndrome in over 16s [online]. https://www.nice.org.uk/guidance/ng202.

  • 20

    NICE (National Institute for Health and Care Excellence) (2008). Technology Appraisal Guidance (TA139). CPAP for OSA costing template and report. www.nice.org.uk/guidance/ta139.

  • 21

    PalomäkiH.PartinenM.JuvelaS.KasteM. (1989). Snoring as a risk factor for sleep-related brain infarction. Stroke20 (10), 1311–1315. 10.1161/01.str.20.10.1311

  • 22

    ParatiG.OchoaJ. E.BiloG.MattalianoP.SalviP.KarioK.et al (2014). Obstructive sleep apnea syndrome as a cause of resistant hypertension. Hypertens. Res.37 (7), 601–613. 10.1038/hr.2014.80

  • 23

    PengoM. F.SorannaD.GiontellaA.PergerE.MattalianoP.SchwarzE. I.et al (2020). Obstructive sleep apnoea treatment and blood pressure: Which phenotypes predict a response? A systematic review and meta-analysis. Eur. Respir. J.55, 1901945. 10.1183/13993003.01945-2019

  • 24

    PengoM. F.SteierJ.ParatiG.AyasN. T.BarbéF.BarnesM.et al (2021). The andante project: A worldwide individual data meta-analysis of the effect of sleep apnea treatment on blood pressure. Arch. Bronconeumología57 (11), 673–676. 10.1016/j.arbres.2021.05.002

  • 25

    PengoM. F.XiaoS.RatneswaranC.ReedK.ShahN.ChenT.et al (2016). Randomised sham-controlled trial of transcutaneous electrical stimulation in obstructive sleep apnoea. Thorax71 (10), 923–931. 10.1136/thoraxjnl-2016-208691

  • 26

    PunjabiN. M.SorkinJ. D.KatzelL. I.GoldbergA. P.SchwartzA. R.SmithP. L. (2002). Sleep-disordered breathing and insulin resistance in middle-aged and overweight men. Am. J. Respir. Crit. Care Med.165, 677–682. 10.1164/ajrccm.165.5.2104087

  • 27

    RanderathW.VerbraeckenJ.de RaaffC. A. L.HednerJ.HerkenrathS.HohenhorstW.et al (2021). European Respiratory Society guideline on non-CPAP therapies for obstructive sleep apnoea. Eur. Respir. Rev.30 (162), 210200. 10.1183/16000617.0200-2021

  • 28

    RemmersJ. E.deGrootW. J.SauerlandE. K.AnchA. M. (1978). Pathogenesis of upper airway occlusion during sleep. J. Appl. Physiology44 (6), 931–938. 10.1152/jappl.1978.44.6.931

  • 29

    SomersV. K.WhiteD. P.AminR.AbrahamW. T.CostaF.CulebrasA.et al (2008). Sleep apnea and cardiovascular disease: An American heart association/American College of cardiology foundation scientific statement from the American heart association council for high blood pressure research professional education committee, council on clinical cardiology, stroke council, and council on cardiovascular nursing. In collaboration with the national heart, lung, and blood Institute national center on sleep disorders research (national institutes of health). Circulation118 (10), 1080–1111. 10.1161/CIRCULATIONAHA.107.189375

  • 30

    SteierJ.SeymourJ.RaffertyG. F.JolleyC. J.SolomonE.LuoY.et al (2011). Continuous transcutaneous submental electrical stimulation in obstructive sleep apnea: A feasibility study. Chest140 (4), 998–1007. 10.1378/chest.10-2614

  • 31

    PengoM. F.SteierJ. (2015). Emerging technology: Electrical stimulation in obstructive sleep apnoea. J. Thorac. Dis.7 (8), 1286–1297. 10.3978/j.issn.2072-1439.2014.04.04

  • 32

    StrolloP. J.JrSooseR. J.MaurerJ. T.De VriesN.CorneliusJ.FroymovichO.et al (2014). Upper-airway stimulation for obstructive sleep apnea. N. Engl. J. Med.370 (2), 139–149. 10.1056/nejmoa1308659

Summary

Keywords

sleep apnoea, sleep-disordered breathing, upper airway physiology, hypoxia, blood pressure

Citation

Alsharifi A, Kaltsakas G, Pengo MF, Parati G, Serna-Pascual M, Rafferty G and Steier J (2023) The effect of transcutaneous electrical stimulation of the submental area on the cardiorespiratory response in normal and awake subjects. Front. Physiol. 14:1089837. doi: 10.3389/fphys.2023.1089837

Received

04 November 2022

Accepted

20 February 2023

Published

14 March 2023

Volume

14 - 2023

Edited by

Hanjun Wang, University of Nebraska Medical Center, United States

Reviewed by

Thomas Penzel, Charité Universitätsmedizin Berlin, Germany

Peter Ricci Pellegrino, University of Nebraska Medical Center, United States

Updates

Copyright

*Correspondence: Abdulaziz Alsharifi,

This article was submitted to Integrative Physiology, a section of the journal Frontiers in Physiology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics