Skip to main content
  • Research Article
  • Open access
  • Published:

Measurement of tissue oxygen saturation during arthroscopic surgery of knee with a tourniquet

Abstract

Background

Tourniquets provide better tissue visibility during arthroscopic surgery. However, multiple postoperative adverse events associated with ischemia may be caused by excessive inflation pressure and duration. We aimed to evaluate the degree of tourniquet-induced ischemia using a noninvasive continuous real-time monitoring method and the relationship between changes in tissue oxygen saturation (StO2) and blood biochemical markers of ischemic injuries in patients undergoing arthroscopic knee surgery.

Methods

This was a prospective observational study using near-infrared spectroscopy (NIRS). Data were collected from 29 consecutive patients who underwent arthroscopic procedures. Twenty-five patients underwent anterior cruciate ligament reconstruction, and four underwent meniscal repair. We investigated tourniquet‐induced changes in StO2, monitored using NIRS, and blood biochemical markers of ischemic injuries.

Results

A significant decrease in the mean StO2 from the baseline was observed during tourniquet inflation in the operative legs. The average decrease in the mean StO2 was 58%. A comparison of mean StO2 between the nonoperative and operative legs before tourniquet deflation showed that mean values of StO2 in the operative legs were significantly lower than those in the nonoperative legs. No significant clinical relationships were observed between changes in StO2 and blood biochemical markers of ischemic injuries (creatine kinase) (p = 0.04, r = 0.38) or tourniquet duration (p = 0.05, r = 0.366).

Conclusions

Our results demonstrated that StO2 could be used to evaluate tissue perfusion in real time but did not support the hypothesis that StO2 is a useful method for predicting the degree of tourniquet-induced injury during arthroscopic knee surgery.

Background

Knee ligament injuries, including anterior cruciate ligament (ACL) and meniscal tears, are common sports injuries, especially in young athletes [1]. As a minimally invasive surgery, arthroscopic surgery is widely used for the treatment of these injuries [2].

In most cases, a tourniquet is used to provide a bloodless field, better tissue visibility intraoperatively, and fewer transfusion units [3, 4]. However, this procedure is associated with several complications. Soft tissue damage may occur because of excessive inflation pressure and duration, including damage to the skin, vessels, muscles, and nerves, ischemia/reperfusion injury, and thromboembolism [5,6,7,8,9]. As there are no evidence-based guidelines for the use of tourniquets in clinical settings, an objective method is required to determine an optimal tourniquet protocol that enhances visualization and minimizes potential tissue injury.

Many studies have focused on indicators that predict the degree of ischemia caused by tourniquets, such as measuring local tissue metabolite changes [10, 11] and assessing serum creatine kinase (CK) and myoglobin (MYO) levels pre- and postoperatively [12]. Few studies have performed noninvasive continuous real-time monitoring of ischemic changes in tourniquet-exposed skeletal muscles and subcutaneous tissues.

Oxygen saturation (StO2) of brain tissue has been measured noninvasively using near-infrared spectroscopy (NIRS) [13] for years and has been increasingly utilized to monitor peripheral tissue oxygenation. NIRS has been widely used for extremity blood oxygen saturation measurements in critically ill patients [14, 15]. Riley et al. [16] suggested that changes in StO2 caused by tourniquets can be continuously monitored using NIRS. To our knowledge, no studies have investigated the relationship between StO2 and blood biochemical markers of ischemic injuries.

Herein, we aimed to determine whether StO2 change can serve as a predictor of tourniquet-induced ischemia. Furthermore, it could provide a new method for investigating ischemic conditions, which could be employed in relevant future orthopedic settings for different tourniquet durations and cuff pressures.

Methods

Settings and study populations

This prospective observational study was approved by our hospital’s ethics committee (approval no. ZE2022-043-01), and informed consent was obtained from all the patients or their families. The inclusion criteria were as follows: age, 18–60 years; body mass index (BMI), 19–24 kg/m2; lower limb surgery with a tourniquet; blood loss during surgery < 100 mL; and American Society of Anesthesiologists class I and II. In this pilot feasibility study, patients who underwent arthroscopic knee surgery were monitored for lower-extremity oxygenation levels.

Ultrasound (GE LOGIQ e NextGen, GE Healthcare, USA) was used to measure subcutaneous fat thickness under the NIRS probe. To ensure that StO2 was maintained, a probe was placed 1 cm distal to a nonsterile tourniquet outside the surgical field and similarly positioned on the nonoperative limb. The probe was covered with a disposable waterproof membrane, placed in the detection area, and fixed using medical tape. Figure 1 shows an example of probe placement [14]. Measurements were conducted continuously during the entire surgery. Blood samples were analyzed as biochemical markers of ischemic injuries before tourniquet inflation and 24 h after tourniquet deflation. Each patient served as a control.

Fig. 1
figure 1

Modified from George et al. [14]

Example case of how the probe was placed and secured. (1) A probe placed distal to the tourniquet. (2) Probe secured using adhesive tape to ensure contact with skin. (3) Sterile drapes placed distal to the probe to ensure a sterile operating field. (The proximal part of the limb is at the top of the images, and the distal leg and knee are at the bottom.)

Statistical analyses

Paired t tests and repeated-measures analysis of variance were performed using SPSS software (version, IBM Corp., Armonk, NY, USA) to examine differences in StO2 between and within the operative and nonoperative legs at baseline and following anesthesia, tourniquet inflation, and tourniquet deflation. The level of significance was set at P < 0.05.

To determine the relationship between the changes in StO2 and biochemical markers of ischemic injuries and identify the factors influencing ischemic injuries, we performed a correlation analysis between BMI, surgery time, tourniquet duration, changes in StO2, and biochemical markers (CK and MYO). Correlations were evaluated using Pearson’s correlation coefficient. The calculations were performed using GraphPad Prism 6 (La Jolla, CA, USA).

Results

A total of 29 consecutive patients who underwent arthroscopic procedures were included in this study. Twenty-five patients underwent ACL reconstruction, while four underwent meniscal repair. Patient demographics are listed in Table 1. The mean (standard deviation) tourniquet duration for these 29 patients was 99.31 (31.2) min, with a range of 27–167 min. Figure 2 shows the StO2 changes with a representative linear fit used to determine the breakpoint from the baseline to the tourniquet deflation state.

Table 1 Patient demographics (N = 29)
Fig. 2
figure 2

Fitting metrics are used to show a representative case. A linear fit is used to determine the breakpoint of StO2 changes from baseline to tourniquet deflation state. StO2, tissue oxygen saturation

A comparison of mean StO2 between the nonoperative and operative legs showed no significant difference at baseline, before tourniquet inflation, and after tourniquet deflation. However, before tourniquet deflation, the mean StO2 in the operative legs was significantly lower than that in the nonoperative legs (Fig. 3).

Fig. 3
figure 3

Comparison of mean StO2 between the nonoperative and operative legs at different times (N = 29). StO2, tissue oxygen saturation. **P < 0.05 for operative leg versus nonoperative leg

Figure 4 shows changes in mean StO2 from baseline due to tourniquet inflation and deflation in the operative and nonoperative legs. There was a significant decrease from baseline in mean StO2 in the operative legs. The average decrease in mean StO2 was 58% in the operative legs. The effect reached a plateau after 10–30 min.

Fig. 4
figure 4

Changes in mean StO2 from baseline to tourniquet deflation in the operative and nonoperative legs (N = 29). *P < 0.05 for StO2 at baseline versus before and after tourniquet inflation and deflation in the operative and nonoperative legs. **P < 0.01 for StO2 at baseline versus before and after tourniquet inflation and deflation in the operative and nonoperative legs. StO2, tissue oxygen saturation

We examined changes in StO2 following anesthesia administration. There was a measurable increase in the mean StO2 in both legs following anesthesia.

Figure 5 shows biochemical markers (CK and MYO) at baseline and 24 h after tourniquet deflation. There was a measurable and significant increase from the baseline. CK increased from 124 ± 63 U/L at baseline to 407 ± 189 U/L 24 h after tourniquet deflation. MYO increased from 28 ± 13 mg/L at baseline to 83 ± 32 mg/L 24 h after tourniquet deflation.

Fig. 5
figure 5

CK (A) and MYO (B) changes at baseline and 24 h after tourniquet deflation. **P < 0.01 CK at baseline versus 24 h after tourniquet deflation; MYO at baseline versus 24 h after tourniquet deflation. CK, creatine kinase; MYO, myoglobin

A correlation analysis between the average change in mean StO2 in the operative legs during tourniquet inflation from baseline and tourniquet duration, surgery time, and change in CK revealed no correlation between tourniquet duration (r = 0.366, p = 0.05); a moderate correlation between StO2 and surgery time (r = 0.414, p = 0.025), CK, and tourniquet duration (r = 0.525, p = 0.035); and a low correlation between StO2 and CK (r = 0.38, p = 0.04). The results are shown in Fig. 6. BMI and subcutaneous fat thickness under the probe did not correlate with the average change in mean StO2 (data not shown).

Fig. 6
figure 6

Linear regression plot of the correlation between the change in StO2. In the operative legs and tourniquet duration (A), surgery duration (B), and changes in CK (C). Pearson correlation coefficient analysis. StO2, tissue oxygen saturation; CK, creatine kinase

Discussion

Our study showed that StO2, measured by NIRS on tourniquet-exposed subcutaneous tissue of patients who underwent arthroscopic knee arthroplasty, progressively decreased with increasing occlusion pressure of the tourniquet. The average decrease in the mean StO2 was 58% in the operative legs. However, tourniquet duration and surgery time had a relatively small effect on StO2, and the effect reached a plateau 10–30 min after tourniquet inflation.

Previous studies have shown that StO2 measured using NIRS may be used to predict tourniquet-induced injury [17]. Herein, although tourniquet duration and surgery time were associated with StO2, their effects were relatively small and reached a plateau. In comparison, changes in biochemical markers were much greater. To evaluate ischemic injuries, we measured the levels of CK and MYO. CK, a tissue damage marker, is found in many cell types, mainly in the mitochondria and cytoplasm, and is an enzyme that performs intracellular energy functions, muscle contraction, and energy production in the body. CK levels increase several-fold in patients undergoing tourniquet procedures because of ischemic injuries [18,19,20]. Herein, change in CK was associated with the tourniquet duration 24 h postoperatively. MYO is released from damaged tissues, indicating tissue damage.

Herein, NIRS, which measures changes in StO2 in a noninvasive manner, was used to assess whether StO2 changes can serve as a predictor of tourniquet-induced ischemia. The reason for this is that most blood in tissues is venous, and tissue ischemia increases oxygen consumption, lowering venous oxyhemoglobin levels. Therefore, StO2 mostly reflects venous saturation and the level of local perfusion in real time. When high tourniquet pressures were applied, deeper tissue perfusate oxygenation was maintained at a certain level; therefore, the level of StO2 reached a plateau after tourniquet inflation. However, the metabolic changes resulting from tourniquet-induced tissue ischemia persisted. Thus, the results showed no clinically significant association between StO2 and biochemical markers of limb ischemia.

Our results also showed that there was a small but significant increase in StO2 resulting from anesthesia due to vasodilation that occurred after anesthesia induction, similar to the results reported by Karahan et al. [21]. This finding demonstrates that StO2 can be used to monitor perfusion in subcutaneous tissues. NIRS is easy to operate, minimally invasive, compact, and lightweight, facilitating easy movement for monitoring multiple locations. Until now, it has been used in situations such as vascular occlusion tests, in trauma patients with decreased extremity blood flow, and for monitoring the vitality of transplanted tissue [22,23,24,25].

This study had some limitations. First, we used CK and MYO as biochemical markers of tourniquet-induced injury. However, surgical trauma also increased the number of markers, which could not be avoided since we cannot simply inflate a tourniquet without surgery. Therefore, patients who underwent arthroscopic surgery, which is a minimally invasive surgery, were selected for the study. Furthermore, whether the two will interact to determine the increase in biochemical markers remains uncertain and requires further investigation. Second, we did not evaluate the correlation between StO2 and oxygen free radicals and inflammatory cytokines due to tourniquet [26], which may be associated with tourniquet-induced ischemia. Third, the ischemia–reperfusion is complicated, and we did not consider the effects of heat transfer and time courses on StO2 in this study. In the future, we may design a study with larger sample size and repeated measures that consider the temperature effects and time courses.

Conclusions

Our results showed that StO2 could be used to evaluate tissue perfusion in real time but did not support the hypothesis that StO2, as measured using NIRS, is useful for predicting the degree of tourniquet-induced injury during arthroscopic knee surgery. Further studies are required to assess how to evaluate the degree of ischemic injuries in patients undergoing procedures involving tourniquets and whether improving StO2 can improve patient outcomes.

Availability of data and materials

The data were available from corresponding author upon reasonable request.

Abbreviations

NIRS:

Near-infrared spectroscopy

StO2:

Tissue oxygen saturation

ACL:

Anterior cruciate ligament

CK:

Creatine kinase

MYO:

Myoglobin

BMI:

Body mass index

References

  1. Sanders TL, Maradit Kremers H, Bryan AJ, Larson DR, Dahm DL, Levy BA, et al. Incidence of anterior cruciate ligament tears and reconstruction: a 21-year population-based study. Am J Sports Med. 2016;44:1502–7.

    Article  Google Scholar 

  2. Bradley KE, Cevallos N, Jansson HL, Lansdown DA, Pandya NK, Feeley BT, et al. Younger patients are more likely to undergo arthroscopic meniscal repair and revision meniscal surgery in a large cross-sectional cohort. Arthroscopy. 2022;38:2875-83.e1.

    Article  Google Scholar 

  3. Sandhu K, Goyal D, Kahal KS, Khichy H. Assessment of short-term outcomes of total knee arthroplasty performed with and without a tourniquet. Cureus. 2022;14:e25324.

    Google Scholar 

  4. Migliorini F, Maffulli N, Aretini P, Trivellas A, Tingart M, Eschweiler J, et al. Impact of tourniquet during knee arthroplasty: a bayesian network meta-analysis of peri-operative outcomes. Arch Orthop Trauma Surg. 2021;141:1007–23.

    Article  Google Scholar 

  5. Migliorini F, Maffulli N, Eschweiler J, Knobe M, Tingart M, Betsch M. Tourniquet use during knee arthroplasty: a Bayesian network meta-analysis on pain, function, and thromboembolism. Surgeon. 2022;20:241–51.

    Article  Google Scholar 

  6. Morelli I, Maffulli N, Brambilla L, Agnoletto M, Peretti GM, Mangiavini L. Quadriceps muscle group function and after total knee arthroplasty-asystematic narrative update. Br Med Bull. 2021;137:51–69.

    Article  Google Scholar 

  7. Kanaya H, Enokida M, Ishida K, Yamashita T, Nagashima H. Factors associated with perioperative deep vein thrombosis in arthroscopic anterior cruciate ligament reconstruction. J Orthop Sci. 2022;S0949–2658(22):00167–71.

    Google Scholar 

  8. Kumar SN, Chapman JA, Rawlins I. Vascular injuries in total knee arthroplasty. A review of the problem with special reference to the possible effects of the tourniquet. J Arthroplast. 1998;13:211–6.

    CAS  Google Scholar 

  9. Horlocker TT, Hebl JR, Gali B, Jankowski CJ, Burkle CM, Berry DJ, et al. Anesthetic, patient, and surgical risk factors for neurologic complications after prolonged total tourniquet time during total knee arthroplasty. Anesth Analg. 2006;102:950–5.

    Article  Google Scholar 

  10. Hanberg P, Bue M, Kabel J, Jørgensen AR, Søballe K, Stilling M. Tourniquet-induced ischemia and reperfusion in subcutaneous tissue, skeletal muscle, and calcaneal cancellous bone. APMIS. 2021;129:225–31.

    Article  CAS  Google Scholar 

  11. Halladin NL, Ekeløf S, Alamili M, Bendtzen K, Lykkesfeldt J, Rosenberg J, et al. Lower limb ischaemia and reperfusion injury in healthy volunteers measured by oxidative and inflammatory biomarkers. Perfusion. 2015;30:64–70.

    Article  CAS  Google Scholar 

  12. Tai TW, Chang CW, Lai KA, Lin CJ, Yang CY. Effects of tourniquet use on blood loss and soft-tissue damage in total knee arthroplasty: a randomized controlled trial. J Bone Joint Surg Am. 2012;94:2209–15.

    Article  Google Scholar 

  13. Tribuddharat S, Ngamsaengsirisup K, Mahothorn P, Sathitkarnmanee T. Correlation and agreement of regional cerebral oxygen saturation measured from sensor sites at frontal and temporal areas in adult patients undergoing cardiovascular anesthesia. PeerJ. 2022;10:e14058.

    Article  Google Scholar 

  14. Philipopoulos GP, Sharareh B, Ganesan G, Tromberg BJ, O’Sullivan TD, Schwarzkopf R. Characterizing tourniquet induced hemodynamics during total knee arthroplasty using diffuse optical spectroscopy. J Orthop Res. 2022. https://doi.org/10.1002/jor.25327.

    Article  Google Scholar 

  15. Palanca AA, Yang A, Bishop JA. The effects of limb elevation on muscle oxygen saturation: a near-infrared spectroscopy study in humans. PM&R. 2016;8:221–4.

    Article  Google Scholar 

  16. Gaines RR, Rice AN, Gadsden JC, Morgan BT, Vacchiano CA. Use of near-infrared spectroscopy to measure tissue oxygen saturation during total knee arthroplasty with use of a tourniquet. AANA J. 2019;87:192–8.

    Google Scholar 

  17. Shadgan B, Reid WD, Harris RL, Jafari S, Powers SK, O’Brien PJ. Hemodynamic and oxidative mechanisms of tourniquet-induced muscle injury: near-infrared spectroscopy for the orthopedics setting. J Biomed Opt. 2012;17:81408–501.

    Article  Google Scholar 

  18. Aktaş E, Atay Ç, Deveci MA, Arıkan M, Toğral G, Yıldırım A. Impact of oxidative stress on early postoperative knee function and muscle injury biochemical markers: is it possible to create an ischemic preconditioning effect in sequential ischemic surgical procedures? Acta Orthop Traumato. 2015;49:387–93.

    Google Scholar 

  19. Xu JZ, Li LL, Fu J, Xu C, Zhang GQ, Chai W, et al. Comparison of serum inflammatory indicators and radiographic results in MAKO robotic-assisted versus conventional total knee arthroplasty for knee osteoarthritis: a retrospective study of Chinese patients. BMC Musculoskelet Disord. 2022;23:418.

    Article  CAS  Google Scholar 

  20. Zhao HY, Yeersheng R, Kang XW, Xia YY, Kang PD, Wang WJ. The effect of tourniquet uses on total blood loss, early function, and pain after primary total knee arthroplasty: a prospective, randomized controlled trial. Bone Joint Res. 2020;9:322–32.

    Article  Google Scholar 

  21. Karahan MA, Binici O, Büyükfırat E. Tissue oxygen saturation change on upper extremities after ultrasound-guided infraclavicular brachial plexus blockade; prospective observational study. Medicina (Kaunas). 2019;55:274.

    Article  Google Scholar 

  22. Wang TL, Hung CR. Role of tissue oxygen saturation monitoring in diagnosing necrotizing fasciitis of the lower limbs. Ann Emerg Med. 2004;44:222–8.

    Article  Google Scholar 

  23. Steenhaut K, Lapage K, Bové T, De Hert S, Moerman A. Evaluation of different near-infrared spectroscopy technologies for assessment of tissue oxygen saturation during a vascular occlusion test. J Clin Monit Comput. 2017;31:1151–8.

    Article  Google Scholar 

  24. Guo H, Bai W, Ouyang W, Liu Y, Wu C, Xu Y, et al. Wireless implantable optical probe for continuous monitoring of oxygen saturation in flaps and organ grafts. Nat Commun. 2022;13:3009.

    Article  CAS  Google Scholar 

  25. Campos-Serra A, Mesquida J, Montmany-Vioque S, Rebasa-Cladera P, Barquero-Lopez M, Cidoncha-Secilla A, et al. Alterations in tissue oxygen saturation measured by near-infrared spectroscopy in trauma patients after initial resuscitation are associated with occult shock. Eur J Trauma Emerg Surg. 2022. https://doi.org/10.1007/s00068-022-02068-w.

    Article  Google Scholar 

  26. Leurcharusmee P, Sawaddiruk P, Punjasawadwong Y, Chattipakorn N, Chattipakorn SC. The possible pathophysiological outcomes and mechanisms of tourniquet-induced ischemia-reperfusion injury during total knee arthroplasty. Oxid Med Cell Longev. 2018;2018:8087598.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

Funding was provided by Natural Science Foundation of Guangdong Province (2020A1515010956).

Author information

Authors and Affiliations

Authors

Contributions

NH: first author, collected the data, wrote the first draft of the manuscript, and revised it. GFZ: corresponding author, agreed to be accountable for all aspects of the work, thereby ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and also resolved the final approval of the version to be published. MXC analyzed and interpreted the data. YYS revised the article critically for important intellectual content. ZTL collected the relevant information of patients. XYL analyzed and interpreted the data. YSC analyzed and interpreted the data. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Gaofeng Zhao.

Ethics declarations

Ethics approval and consent to participate

The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. For human experiments, the trial was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This prospective observational study was approved by our hospital’s ethics committee (approval no. ZE2022-043-01), and informed consent was obtained from all the patients or their families.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hao, N., Cui, M., Shi, Y. et al. Measurement of tissue oxygen saturation during arthroscopic surgery of knee with a tourniquet. J Orthop Surg Res 17, 532 (2022). https://doi.org/10.1186/s13018-022-03431-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13018-022-03431-8

Keywords