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Paced breathing causes tonic change rather than phasic modulation of superficial venous diameter

Abstract

Background

Respiratory modulation is generally observed in the inferior vena cava (IVC). If similar respiratory modulation exists in peripheral superficial veins, it would be possible to dilate the vein diameter by respiratory control. This may improve the success rate of venipuncture in clinical practices. Hence, the present study aimed to investigate the respiratory modulation in peripheral superficial veins.

Methods

This study included 21 healthy female volunteers (mean age 21.8 ± 0.9 years). Participants performed spontaneous breathing (SB) and paced breathing (PB). B-mode ultrasound imaging was used to continuously monitor the cutaneous veins of the left elbow fossa for 50 s.

Results

Vein diameter demonstrated a clear modulation consistent with paced breathing, and the amplitude of vein diameter modulation was greater at 10 s-PB than at 3 s-PB. Additionally, PB affected the baseline of modulation (mean vein diameter). The baseline exhibited the largest diameter in SB, followed by 3 s-PB and 10 s-PB. The baseline for SB and 10 s-PB demonstrated a statistically significant difference (p = 0.03). Respiratory modulation was confirmed in peripheral superficial veins; however, tonic change in baseline diameter was dominant over phasic modulation. Even when vein diameter was most dilated at 10 s-PB, the diameter at that time was smaller than the mean diameter at SB.

Conclusions

This study demonstrated that the peripheral superficial vein diameter exhibited respiratory modulation, similar to the IVC. Although respiratory modulation of the IVC has been well documented in previous studies, the present findings provide novel evidence of this phenomenon in the peripheral superficial veins. Additionally, this study identified tonic changes in the mean vein diameter, which were more dominant than phasic modulations. Furthermore, the mean vein diameter during SB was greater than the maximum diameter observed during 10 s-PB. These findings suggested that PB for 50 s during venipuncture did not enhance venous access.

Background

Venipuncture is an invasive procedure performed for blood collection or venous catheter insertion. Poor palpability and visibility are prevalent characteristics of veins diagnosed with failed venipuncture [1,2,3,4]. Both visibility and palpability are associated with vein diameter [5]. In particular, vein diameter constitutes a crucial factor in venipuncture success rate. This is consistent with previous results that larger vein diameters are associated with higher venipuncture success rates [6,7,8].

Local heating has been used in clinical practice to dilate veins and improve success rates. Local heating improves venous palpability and visibility [9,10,11,12], thereby significantly increasing the success rate of initial venipuncture attempts [9, 12]. Condition-controlled experimental studies have revealed that local heating dilated the vein diameter by 2–22% [13,14,15].

Local heating duration depends on the situation. In particular, 70% of clinicians reported it as approximately 2–5 min in clinical practice [16], whereas experimental studies have used 7–15 min of heating [13,14,15]. Therefore, vein dilation by local heating requires at least several minutes.

Respiration generally influences the diameter and blood flow dynamics of the inferior vena cava (IVC), internal jugular vein, upper extremity veins, such as the subclavian vein (SCV), and axillary veins [17,18,19,20,21]. Respiratory modulation induces vein contraction during inspiration and dilatation during expiration [22, 23]. The respiratory modulation magnitude depends on the depth of breathing. Deeper breathing generates larger vein modulation [24, 25]. Furthermore, central veins (e.g., IVC) have a large respiratory modulation, and the modulation degree tends to decrease from the center to the periphery [26]. However, previous studies have not included veins that are more peripheral than the axillary vein, and respiratory modulation in the superficial veins of the forearm remains unknown. Vein diameters could be dilated without heating for a few minutes if the respiratory modulation is observed in peripheral superficial veins as well as IVC. This approach is beneficial, particularly for patients with difficult venous access. Therefore, the present study investigated the respiratory modulation in peripheral superficial veins.

Methods

Participants

This study included 21 young and healthy female participants (mean age 21.8 ± 0.9 years). The exclusion criteria were patients with a disease under treatment, pregnant or possibly pregnant, and smokers. The specific number of participants was identified based on a previous study using a similar methodology for imaging analysis [25]. Female generally have smaller vein diameters than men [27] and venipuncture is generally more difficult; thus, this study only included female. The mean height, weight, and body mass index were 158.1 ± 4.9 cm, 51.0 ± 6.9 kg, and 20.4 ± 2.5 kg/m2, respectively. The participants had an average BMI similar to that of females in Japan aged 20–29 years published by the Japanese Ministry of Health, Labour and Welfare [28]. Participants were instructed to abstain from alcohol and sleep for at least 6 h and were restricted from strenuous exercise the day before the experiment.

Procedures

This study was conducted in August 2023. Participants were seated and rested for at least 30 min after entering the controlled environment chamber. Room conditions were maintained at 25 °C with a relative humidity of 50%. Participants were then trained to control their breathing by synchronizing with an audio signal presented by a computer program. This computer program demonstrates auditory signals for the onset of inspiration or expiration. Breathing was controlled in three patterns: spontaneous breathing (SB), 3 s paced breathing (3 s-PB), and 10 s paced breathing (10 s-PB). The 3 s-PB corresponds to the respiratory rate during spontaneous breathing, whereas the 10 s-PB equates to the resonance frequency of heart rate variability (HRV) at which respiratory sinus arrhythmia (RSA) demonstrates maximal amplitude [29,30,31]. These three conditions were randomized, and each breath was consecutively performed for 50 s.

The forearm was positioned on a platform at the heart level. The elbow joint was aligned with the mark on the table, the forearm was kept extended, and the arm was fastened with a belt to avoid movement. The nondominant elbow fossa vein, which is easiest to delineate with ultrasound equipment, was selected. The height and angle from the probe to the skin were replicated each time by attaching the probe to the table.

Figure 1 shows the experimental protocol. A quiet environment was maintained in all measurements. Measurements were repeated thrice consecutively per breathing condition (SB, 3 s-PB, and 10 s-PB), during which the upper arm was placed on a table and remained fixed. The forearm was removed from the table and rested for 2 min after completing the three consecutive measurements. Subsequently, the same procedure was repeated, and measurements were obtained under all breathing conditions.

Fig. 1
figure 1

Experimental protocol. Monitoring of peripheral vein diameters started after 2 min with the arm on the stand and continued for 50 s. The arm was taken off after three repeated measurements, and a 2-min break was permitted. The same procedure was repeated thrice

Measurements

An ultrasound imaging device (Versana Active; GE Health Care, Tokyo, Japan) was utilized to obtain images of the median cutaneous vein of the left elbow fossa. The B-mode short-axis view was selected due to the mode’s reduced sensitivity to slight arm movements in comparison to the M-mode view. All images were acquired by the same operator with the same settings (frequency 12 MHz, image depth 20 mm, dynamic range 51 dB, and time gain 56 dB). To prevent compression of the vein by the probe, a gel layer approximately 1 cm thick was placed on the subject's forearm. The images were recorded continuously as a movie file.

The breathing of the participants was continuously monitored using a thermocouple sensor attached to the nostrils during the experiment. The output of the thermocouple sensor was converted to a digital signal at a sampling frequency of 100 Hz (Thermoception Analyzer Intercross- 210, Intercross Inc., Tokyo, Japan).

Image analysis

Figure 2 shows the analysis. The captured images were divided into tiff files at 1 s intervals and imported into the image analysis software, ImageJ [32]. The captured images were first converted to an 8-bit grayscale, and then the region of interest was manually positioned. Additionally, the binarization process was used to detect edges. Most images were processed with a threshold of 70. However, a few instances of edges that could not be extracted underwent manual optimization on an image-by-image basis. The detected edges were fitted with ellipses, and the short diameter was automatically calculated from the ellipse’s area (mm2).

Fig. 2
figure 2

Image analysis. The image was converted to 8-bit grayscale. The region of interest was positioned using a manual tool (A). Edge detection (B) and ellipse fitting (C) were automatically performed with ImageJ

Statistical analysis

The vein diameter and respiratory rate data recorded every second were ensemble-averaged. The ensemble average reduces noise other than paced breathing, thereby facilitating capturing data features [33, 34]. This technique is frequently used for time series analyses of physiological data [35,36,37,38,39,40]. In this case, the 3 s- and 10 s-PB were analyzed by aligning the start of the inspiration. To examine the trend over time, correlation analyses were performed on the ensemble average of the vein diameter. The respiratory rate during SB was determined by counting the number of peaks in the waveform of the nostril temperature.

Frequency analysis was conducted to quantify the magnitude of respiratory modulation in the vein diameter. The power spectrum was collected by analyzing the vein diameter variation for 50 s using the maximal entropy method with the seventh-order autoregressive model. The natural logarithm of the integrated power of 0.099–0.101 Hz for 10 s-PB s and 0.332–0.334 Hz for 3 s-PB represented the magnitude of the variability for each condition. Three repetitions of the same condition were averaged while testing for differences between breathing conditions, and a paired t-test was performed on the data collected from 21 participants.

The average vein diameters over 50 s were determined and defined as the baseline of the modulation (baseline). Repeated-measure one-way analysis of variance was performed on data gathered from the 21 participants to identify differences between respiratory conditions. Additionally, the Bonferroni method was utilized for multiple comparisons, and differences with a p-value of < 0.05 were considered statistically significant. R version 4.2.2 for Windows was used for statistical analysis.

Ethics approval and consent to participate

This study followed the ethical principles stated in the Declaration of Helsinki and obtained ethical approval from the Clinical Research Ethics Committee of Kyushu University Hospital (Approval no. 23081–00). All study participants signed written informed consent forms.

Results

Figure 3 illustrates examples of dynamic changes of vein diameter and respiration in one participant. The participant breathed at approximately a 5-s cycle (0.2 Hz) in the SB condition and breathed at the designated cycles (3 and 10 s) in the PB conditions. The vein diameter demonstrated modulation consistent with the respiratory cycle under the three respiratory conditions. Respiratory modulation in vein diameter was particularly clear and exhibited large amplitude at 10 s-PB compared with SB and 3 s-PB.

Fig. 3
figure 3

Examples from participant #17 with vein diameter and respiration. Dynamic changes in respiration and vein diameter of one participant. Vein diameter modulation was consistent with respiration. The horizontal axis represents time and the vertical axis denotes vein diameter (left) and the temperature change around the perinasal (right). The solid line indicates the vein diameter and the dashed line represents respiration. Perinasal temperature decreases with inspiration and increases with expiration. The upper panel shows SB and the middle and lower panels demonstrate 3 s-PB and 10 s-PB, respectively

Figure 4 illustrates the ensemble average of vein diameter for the 21 participants. The participants breathed in 2–8 s cycles (average of approximately 3.9 s) for SB. The ensemble average of SB demonstrated a nearly flat response because the breathing phases of each participant were not in phase. In contrast, the 3 s- and 10 s-PBs exhibited vein diameter modulation synchronized with respiration even in the ensemble average, and the modulation amplitude was greater during 10 s-PB than during 3 s-PB. These three breathing conditions expressed their influence as a tonic change in baseline diameter rather than a phasic modulation. The baseline venous diameter was largest in the SB and smallest in the 10 s-PB.

Fig. 4
figure 4

Ensemble average of the respiratory modulation of vein diameter. Fifty-second recordings of vein diameter averaged over 21 participants. The three panels show the results for SB, 3 s-PB, and 10 s-PB, respectively. The upper trace (solid line) in each panel indicates the vein diameter, and the lower trace (dashed line) shows the respiration. Error bars represent standard deviations (SDs)

Linear correlation analysis demonstrated an association, with coefficients of determination (r2) of 0.39, 0.55, and 0.77 for SB, 3 s-PB, and 10 s-PB, respectively.

Figure 5 illustrates a comparison of the magnitude of vein diameter modulation that coincides with the breathing cycle. The vein modulation induced by 10 s-PB was significantly larger (p < 0.01) than that by 3 s-PB.

Fig. 5
figure 5

Effect of breathing period on the spectral power of vein modulation (n = 21). Comparison of the average spectral power of vein modulation of 3 s-PB and 10 s-PB. The vein modulation induced by 10 s-PB was significantly larger than that by 3 s-PB. Error bars represent SDs

Figure 6 shows a comparison of baselines (averaged over 50 s) of vein diameters. The mean baseline vein diameter values were 2.55 ± 0.01 mm, 2.51 ± 0.01 mm, and 2.43 ± 0.02 mm for SB, 3 s-PB, and 10 s-PB, respectively. The average value was smaller for PBs compared to SB. The one-way analysis of variance revealed a statistically significant difference between the three groups, and the multiple comparison tests demonstrated a significant difference between SB and 10 s-PB (p = 0.03).

Fig. 6
figure 6

Baseline comparison of vein diameters (n = 21). Baseline comparison of vein diameter at SB (orange), 3 s-PB (blue), and 10 s-PB (green). Error bars denote standard error

Discussion

Respiratory modulation in peripheral superficial veins

The ensemble average of vein diameter demonstrated periodic fluctuations synchronized with respiration under PB conditions of this study. Vein diameters demonstrated similar responses to respiration with RSA in HRV. The RSA is generally a frequency-dependent response, indicating a maximum amplitude at approximately 0.1 Hz [29,30,31]. The amplitude of the periodic fluctuation in the vein diameter was greater in 10 s-PB than in 3 s-PB, similar to RSA (p < 0.01). The present results indicated that the amplitude of the respiratory modulation of the peripheral vein diameter depends on the respiratory frequency. Hemodynamic changes due to intrathoracic or intra-abdominal pressure fluctuations represent a possible mechanism for the modulation synchronized with breathing. In other words, inspiration triggers veinous contraction due to increased venous return, which is facilitated by decreased intrathoracic pressure; conversely, expiration causes vein diameter dilation [17,18,19,20,21]. This phenomenon has been widely observed in the IVC, IJV, SCV, and axillary veins [17,18,19,20,21]. Furthermore, autonomic nervous system activity [41, 42] and vascular smooth muscle contraction [43] may be involved in venoconstriction. It is likely that these factors are complexly interconnected.

A decreased breathing pace is generally expected to increase tidal volume. The deeper respiration has been known to produce a greater RSA amplitude [30]. A similar response was reported in the respiratory modulation of the central vena cava such as IVC and SCV [21, 24, 25]. However, RSA enhancements by low frequency breathing are not solely due to an increase in tidal volume, and larger amplitude in RSA occurs at lower frequency despite constant tidal volume [29, 30]. Therefore, the increase in the amplitude of respiratory modulation in the vein is also considered independent of the tidal volume.

Tonic change in the vein diameter

As expected, in this study, PB induced a phasic modulation of the vein diameter. On the other hand, PB also induced tonic changes in the vein diameter; compared with SB, 10 s-PB reduced the mean vein diameter by 5%. A trend toward smaller mean vein diameters was also noted in 10 s-PB than that in 3 s-PB; however, this difference was not significant.

In addition, vein diameters during PB exhibited a linear increasing trend over time that was not synchronized with respiration (Fig. 4). These tonic changes in the vein diameter were unexpected because, in HRV, PB significantly alters the phasic amplitude, whereas the tonic component (e.g., mean heart rate) is unaffected by PB [44, 45]. If the increasing trend persists for several minutes, 10 s-PB may dilate the periferal veins. This increasing trend is a remarkable phenomenon.

An previous study (Eckstein et al., 1958) reported that hyperventilation causes venoconstriction of the forearm [46]. Therefore, PB may affect the vein diameter. Changes in blood pH levels may cause the tonic changes observed in this study. However, as the blood pH level was not measured in this study, determining the direct effect of pH changes on the vein diameter was not possible. Measuring changes in the blood pH level during PB and investigating its effect on vein diameter are warranted. The results of this study suggested the significance of considering the effects of respiration in measuring vein diameter and offer novel insights for future research.

Moreover, the results of this study raised new questions. Under SB condition, participants breathed spontaneously with an average cycle of approximately 3.9 s. If tonic changes in vein diameter were merely influenced by breathing frequency, the mean vein diameter in SB should lie between 3 s-PB and 10 s-PB. However, the largest vein diameters were obtained in SB condition. The results of the present study suggested that the tonic changes in vein diameter with PB may not be solely due to respiratory frequency. Further studies are needed to clarify the mechanism of PB-induced tonic changes in vein diameter.

Conclusion

This study revealed that the peripheral superficial vein diameter exhibited respiratory modulation, similar to the IVC. Vein diameters contracted with inspiration and dilated with expiration. Furthermore, the amplitude of the vein diameter modulation was observed to be respiratory frequency-dependent. Previous studies have documented respiratory modulation in the IVC; however, the respiratory modulation in the peripheral superficial veins represents a novel finding of this study.

The tonic modulation of the mean vein diameter constitutes another finding of this study. Tonic changes in the mean vein diameter were dominant rather than phasic modulation. The mean vein diameter during SB was larger than the largest vein diameter during 10 s-PB. Therefore, PBfor 50 s during venipuncture cannot improve venous access.

Data availability

The datasets during and/or analyzed during the current study available from the corresponding author on reasonable request.

Abbreviations

HRV:

Heart rate variability

IJV:

Internal jugular vein

IVC:

Inferior vena cava

PB:

Paced breathing

RSA:

Respiratory sinus arrhythmia

SB:

Spontaneous breathing

SCV:

Subclavian vein

References

  1. Carr PJ, Higgins NS, Cooke ML, Rippey J, Rickard CM. Tools, clinical prediction rules, and algorithms for the insertion of peripheral intravenous catheters in adult hospitalized patients: a systematic scoping review of literature. J Hosp Med. 2017;12:851–8. https://doiorg.publicaciones.saludcastillayleon.es/10.12788/jhm.2836.

    Article  PubMed  Google Scholar 

  2. Carr PJ, Rippey JCR, Cooke ML, Trevenen ML, Higgins NS, Foale AS, et al. Factors associated with peripheral intravenous cannulation first-time insertion success in the emergency department. A multicentre prospective cohort analysis of patient, clinician and product characteristics. BMJ Open. 2019;9: e022278. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bmjopen-2018-022278.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Angles E, Robin F, Moal B, Roy M, Sesay M, Ouattara A, et al. Pre-operative peripheral intravenous cannula insertion failure at the first attempt in adults: development of the VENSCORE predictive scale and identification of risk factors. J Clin Anesth. 2021;75: 110435. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jclinane.2021.110435.

    Article  PubMed  Google Scholar 

  4. Yalçınlı S, Akarca FK, Can Ö, Şener A, Akbinar C. Factors affecting the first-attempt success rate of intravenous cannulation in older people. J Clin Nurs. 2019;28:2206–13. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/jocn.14816.

    Article  PubMed  Google Scholar 

  5. Ichimura M, Matsumura Y, Sasaki S, Murakami N, Mori M, Ogino T. The characteristics of healthy adults with hardly palpable vein–Relations between easy venous palpation and physical factors. Int J Nurs Pract. 2015;21:805–12. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/ijn.12313.

    Article  PubMed  Google Scholar 

  6. Panebianco NL, Fredette JM, Szyld D, Sagalyn EB, Pines JM, Dean AJ. What you see (sonographically) is what you get: vein and patient characteristics associated with successful ultrasound-guided peripheral intravenous placement in patients with difficult access. Acad Emerg Med. 2009;16:1298–303. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/j.1553-2712.2009.00520.x.

    Article  PubMed  Google Scholar 

  7. Witting MD, Schenkel SM, Lawner BJ, Euerle BD. Effects of vein width and depth on ultrasound-guided peripheral intravenous success rates. J Emerg Med. 2010;39:70–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jemermed.2009.01.003.

    Article  PubMed  Google Scholar 

  8. van Loon FHJ, Korsten HHM, Dierick–van Daele ATM, Bouwman ARA. The impact of the catheter to vein ratio on peripheral intravenous cannulation success, a post-hoc analyses. PLOS ONE. 2021;16. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0252166.

  9. Biyik Bayram S, Caliskan N. Effects of local heat application before intravenous catheter insertion in chemotherapy patients. J Clin Nurs. 2016;25:1740–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/jocn.13193.

    Article  PubMed  Google Scholar 

  10. Fink RM, Hjort E, Wenger B, Cook PF, Cunningham M, Orf A, et al. The impact of dry versus moist heat on peripheral IV catheter insertion in a hematology-oncology outpatient population. Oncol Nurs Forum. 2009;36:36. https://doiorg.publicaciones.saludcastillayleon.es/10.1188/09.ONF.E198-E204.

    Article  Google Scholar 

  11. Korkut S, Karadağ S, Doğan Z. The effectiveness of local hot and cold applications on peripheral intravenous catheterization: A randomized controlled trial. J Perianesth Nurs. 2020;35:597–602. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jopan.2020.04.011.

    Article  PubMed  Google Scholar 

  12. Lenhardt R, Seybold T, Kimberger O, Stoiser B, Sessler DI. Local warming and insertion of peripheral venous cannulas: single blinded prospective randomised controlled trial and single blinded randomised crossover trial. BMJ. 2002;325:409–10. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bmj.325.7361.409.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Tokizawa Y, Tsujimoto T, Inoue T. Duration of venodilation for peripheral intravenous cannulation, as induced by a thermal stimulus on the forearm. Biol Res Nurs. 2017;19:206–12. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/1099800416651145.

    Article  PubMed  Google Scholar 

  14. Yamagami Y, Tsujimoto T, Inoue T. How long should local warming for venodilation be used for peripheral intravenous cannulation? A prospective observational study. Int J Nurs Stud. 2018;79:52–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ijnurstu.2017.11.004.

    Article  PubMed  Google Scholar 

  15. Yasuda K, Shishido I, Murayama M, Kaga S, Yano R. Venous dilation effect of hot towel (moist and dry heat) versus hot pack for peripheral intravenous catheterization: a quasi-experimental study. J Physiol Anthropol. 2023;42:1–14. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40101-023-00340-5.

    Article  Google Scholar 

  16. Kiger T, Knudsen ÉA, Curran W, Hunter J, Schaub A, Williams MJ, et al. Survey of heat use during peripheral IV insertion by health care workers. J Infus Nurs. 2014;37:433–40. https://doiorg.publicaciones.saludcastillayleon.es/10.1097/NAN.0000000000000074.

    Article  PubMed  Google Scholar 

  17. Kim DW, Chung S, Kang WS, Kim J. Diagnostic accuracy of ultrasonographic respiratory variation in the inferior vena cava, subclavian vein, internal jugular vein, and femoral vein diameter to predict fluid responsiveness: a systematic review and Meta-Analysis. Diagnostics (Basel). 2021;12: 49. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/diagnostics12010049.

    Article  CAS  PubMed  Google Scholar 

  18. Unluer EE, Kara PH. Ultrasonography of jugular vein as a marker of hypovolemia in healthy volunteers. Am J Emerg Med. 2013;31:173–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ajem.2012.07.003.

    Article  PubMed  Google Scholar 

  19. Zhu P, Zhang X, Luan H, Feng J, Cui J, Wu Y, et al. Ultrasonographic measurement of the subclavian vein diameter for assessment of intravascular volume status in patients undergoing gastrointestinal surgery: Comparison with central venous pressure. J Surg Res. 2015;196:102–6. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jss.2015.02.063.

    Article  PubMed  Google Scholar 

  20. Ravindran C, Thiyagarajan S, Velraj J, Murugesan R. Arm position and collapsibility of infraclavicular axillary vein during voluntary breathing: an ultrasound-guided observational study. J Vasc Acces. 2020;21:39–44. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/1129729819848918.

    Article  Google Scholar 

  21. Lim KJ, Lee JM, Byon HJ, Kim HS, Kim CS, Lee SK, et al. The effect of full expiration on the position and size of the subclavian vein in spontaneously breathing adults. Anesth Analg. 2013;117:109–13. https://doiorg.publicaciones.saludcastillayleon.es/10.1213/ANE.0b013e31826257f4.

    Article  PubMed  Google Scholar 

  22. Grant E, Rendano F, Sevinc E, Gammelgaard J, Holm HH, Grønvall S. Normal inferior vena cava: caliber changes observed by dynamic ultrasound. AJR Am J Roentgenol. 1980;135:335–8. https://doiorg.publicaciones.saludcastillayleon.es/10.2214/ajr.135.2.335.

    Article  CAS  PubMed  Google Scholar 

  23. Natori H, Tamaki S, Kira S. Ultrasonographic evaluation of ventilatory effect on inferior vena caval configuration. Am Rev Respir Dis. 1979;120:421–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1164/arrd.1979.120.2.421.

    Article  CAS  PubMed  Google Scholar 

  24. Gignon L, Roger C, Bastide S, Alonso S, Zieleskiewicz L, Quintard H, et al. Influence of diaphragmatic motion on inferior vena cava diameter respiratory variations in healthy volunteers. Anesthesiology. 2016;124:1338–46. https://doiorg.publicaciones.saludcastillayleon.es/10.1097/ALN.0000000000001096.

    Article  PubMed  Google Scholar 

  25. Folino A, Benzo M, Pasquero P, Laguzzi A, Mesin L, Messere A, et al. Vena cava responsiveness to controlled isovolumetric respiratory efforts. J Ultrasound Med. 2017;36:2113–23. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/jum.14235.

    Article  PubMed  Google Scholar 

  26. Molokoane-Mokgoro K, Goldstein LN, Wells M. Ultrasound evaluation of the respiratory changes of the inferior vena cava and axillary vein diameter at rest and during positive pressure ventilation in spontaneously breathing healthy volunteers. Emerg Med J. 2018;35:297–302. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/emermed-2016-205944.

    Article  PubMed  Google Scholar 

  27. Park S, Kim Y, Nam D, Lee J, Song SH. Superficial venous morphometry in the antecubital fossa: an autonomous robotic ultrasound-based analysis. J Vasc Access. 2023: 11297298231186651. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/11297298231186651.

  28. Ministry of Health, Labour and Welfare. National health and nutrition survey. 2019. https://www.e-stat.go.jp/stat-search/files?stat_infid=000032041828. Accessed 9 Jan 2025.

  29. Kobayashi H. Postural effect on respiratory sinus arrhythmia with various respiratory frequencies. Appl Human Sci. 1996;15:87–91. https://doiorg.publicaciones.saludcastillayleon.es/10.2114/jpa.15.87.

    Article  CAS  PubMed  Google Scholar 

  30. Kobayashi H. Normalization of respiratory sinus arrhythmia by factoring in tidal volume. Appl Human Sci. 1998;17:207–13. https://doiorg.publicaciones.saludcastillayleon.es/10.2114/jpa.17.207.

    Article  CAS  PubMed  Google Scholar 

  31. Angelone A, Coulter NA. Respiratory sinus arrhythmia: a frequency dependent phenomenon. J Appl Physiol. 1964;19:479–82. https://doiorg.publicaciones.saludcastillayleon.es/10.1152/jappl.1964.19.3.479.

    Article  CAS  PubMed  Google Scholar 

  32. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9:676–82. https://doiorg.publicaciones.saludcastillayleon.es/10.1038/nmeth.2019.

    Article  CAS  PubMed  Google Scholar 

  33. Steffensen TL, Schjerven FE, Flade HM, Kirkeby-Garstad I, Ingeström E, Solberg FS, et al. Wrist ballistocardiography and invasively recorded blood pressure in healthy volunteers during reclining bike exercise. Front Physiol. 2023;14:14. 1189732. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fphys.2023.1189732.

    Article  PubMed  Google Scholar 

  34. Wiens AD, Johnson A, Inan OT. Wearable sensing of cardiac timing intervals from cardiogenic limb vibration signals. IEEE Sens J. 2017;17:1463–70. https://doiorg.publicaciones.saludcastillayleon.es/10.1109/JSEN.2016.2643780.

    Article  PubMed  Google Scholar 

  35. Alderliesten T, De Vis JB, Lemmers PM, van Bel F, Benders MJ, Hendrikse J, et al. Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults. Neuroimage. 2014;85:255–63. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.neuroimage.2013.07.015.

    Article  PubMed  Google Scholar 

  36. Huppert TJ, Hoge RD, Diamond SG, Franceschini MA, Boas DA. A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans. Neuroimage. 2006;29:368–82. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.neuroimage.2005.08.065.

    Article  CAS  PubMed  Google Scholar 

  37. Jones B, Hamilton DK, Cooper CE. Muscle oxygen changes following Sprint Interval Cycling training in elite field hockey players. PLOS ONE. 2015;10(3): e0120338. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0120338.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Péter A, Arndt A, Hegyi A, Finni T, Andersson E, Alkjær T, et al. Effect of footwear on intramuscular EMG activity of plantar flexor muscles in walking. J Electromyogr Kinesiol. 2020;55: 102474. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jelekin.2020.102474.

    Article  PubMed  Google Scholar 

  39. Raitamaa L, Korhonen V, Huotari N, Raatikainen V, Hautaniemi T, Kananen J, et al. Breath hold effect on cardiovascular brain pulsations - a multimodal magnetic resonance encephalography study. J Cereb Blood Flow Metab. 2019;39:2471–85. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/0271678X18798441.

    Article  PubMed  Google Scholar 

  40. Ylinen J, Pennanen A, Weir A, Häkkinen A, Multanen J. Effect of biomechanical footwear on upper and lower leg muscle activity in comparison with knee brace and normal walking. J Electromyogr Kinesiol. 2021;57: 102528. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jelekin.2021.102528.

    Article  PubMed  Google Scholar 

  41. Russo MA, Santarelli DM, O’Rourke D. The physiological effects of slow breathing in the healthy human. Breathe. 2017;13:298–309. https://doiorg.publicaciones.saludcastillayleon.es/10.1183/20734735.009817.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Gelman S. Venous function and central venous pressure: a physiologic story. Anesthesiology. 2008;108:735–48. https://doiorg.publicaciones.saludcastillayleon.es/10.1097/ALN.0b013e3181672607.

    Article  PubMed  Google Scholar 

  43. Nilsson H, Aalkjaer C. Vasomotion: mechanisms and physiological importance. Mol Interv. 2003;3:79–89. https://doiorg.publicaciones.saludcastillayleon.es/10.1124/mi.3.2.79.

    Article  CAS  PubMed  Google Scholar 

  44. Hayano J, Mukai S, Sakakibara M, Okada A, Takata K, Fujinami T. Effects of respiratory interval on vagal modulation of heart rate. Am J Physiol. 1994;267:H33-40. https://doiorg.publicaciones.saludcastillayleon.es/10.1152/ajpheart.1994.267.1.H33.

    Article  CAS  PubMed  Google Scholar 

  45. Song HS, Lehrer PM. The effects of specific respiratory rates on heart rate and heart rate variability. Appl Psychophysiol Biofeedback. 2003;28:13–23. https://doiorg.publicaciones.saludcastillayleon.es/10.1023/a:1022312815649.

    Article  PubMed  Google Scholar 

  46. Eckstein JW, Hamilton WK, McCammond JM. Pressure-volume changes in the forearm veins of man during hyperventilation. J Clin Invest. 1958;37:956–61. https://doiorg.publicaciones.saludcastillayleon.es/10.1172/JCI103690.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We extend our sincere gratitude to all the participants who generously contributed their time and effort to participate in our experiment. The authors would like to thank Enago (www.enago.jp) for the English language review.

Funding

This study was supported by JSPS KAKENHI Grant Number JP 20 K19023.

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Authors and Affiliations

Authors

Contributions

Conceptualization: MM, NH, and HK. Formal analysis: MM and HK. Investigation: MM and NH. Methodology: MM and HK. Supervision: NH and HK. Validation: MM and HK. Visualization: MM and HK. Writing—original draft: MM. Writing—review and editing: NH and HK.

Corresponding author

Correspondence to Hiromitsu Kobayashi.

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Ethics approval and consent to participate

This study followed the ethical principles stated in the Declaration of Helsinki and obtained ethical approval from the Clinical Research Ethics Committee of Kyushu University Hospital (Approval no. 23081-00). All study participants signed written informed consent forms.

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Not applicable.

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The authors declare that they have no competing interests.

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Matsumoto, M., Hashiguchi, N. & Kobayashi, H. Paced breathing causes tonic change rather than phasic modulation of superficial venous diameter. J Physiol Anthropol 44, 13 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40101-025-00392-9

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