CClinicalTrials.gg
TerminatedNCT05229250Updated Jan 14, 2026

NIRS and Exercise Intensity in Patients With FLIA

An observational study in Near-Infrared Spectroscopy, Iliac Artery Stenosis and Iliac Artery Disease, sponsored by Maxima Medical Center. Terminated at 1 site in Netherlands. Open to participants aged 18 Years to 40 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-01-14.

Sponsored by Maxima Medical Center · Observational

Why this study was terminated
The hardware failed multiple times. As such we chose to terminate teh study
Study type
Observational
Model
Case-control
Time perspective
Prospective
Enrollment
60
Ages
18 Years to 40 Years
Sex
All
01

Study summary

The research objectives of this project are to increase the understanding of pathophysiology and performance limitations related to sport-related flow limitation in the iliac artery (FLIA) using non-invasive measurement of muscle oxygenation at the working muscles of the leg and mechanical power output recorded during cycling exercise. Skeletal muscle oxygenation measured with Near-Infrared Spectroscopy (NIRS) is growing more accessible for use by coaches, teams, and individual athletes for use in performance testing. Describing how muscle oxygenation profiles in endurance athletes diagnosed with FLIA differ in comparison with healthy athletes may allow the use of this non-invasive, accessible measurement device for the screening of athletes at risk of developing FLIA.

The relevance of this work is that FLIA imposes risk of irreversible injury to the main artery of the leg in endurance athletes, limiting their ability to participate in exercise, with further consequences for health, fitness, and quality of life. Currently, the early course of this progressive condition is poorly understood, as early detection is difficult and hence appropriate treatment is often delayed. If impairment becomes severe, often more invasive (and risky) treatment is necessary. Earlier detection and monitoring of FLIA may allow for improved patient management and outcomes.

The design of this experiment will compare a patient group of trained cyclists diagnosed with FLIA, to healthy control subjects including cyclists of a similar fitness level without signs of FLIA. Both groups will perform an incremental ramp cycling test and an intermittent multi-stage cycling exercise test. Incremental ramp cycling testing is used as part of clinical diagnosis of FLIA, as well as performance (eg. VO2max) testing of healthy athletes. Multi-stage exercise protocols are also often used for performance testing of endurance athletes and allows for observation of (path)physiological responses during submaximal work stages. Outcome measures of muscle oxygenation kinetics with NIRS and cycling power will be analysed and compared between patients and healthy subjects.

Read the detailed description

A professional cyclist covers approximately 25,000 km a year and flexes the hip 8,000,000 times in a year, while leg blood flow is in the range of 10-15 litres per minute. This poses a substantial hemodynamic load on the iliac artery. As a result, a proportion of endurance athletes develop a limitation in leg circulation due to arterial narrowing in this iliac artery. An early 'Lancet' study of the department of Sports Medicine of Máxima Medical Centre (MMC) found that 20% of professional cyclists were suffering from such a sport-related Flow Limitation in the Iliac Artery (FLIA) necessitating treatment. The incidence in recreational cyclists is unknown, but with 849,000 recreational cyclists in the Netherlands cycling over 3,000 km a year with an impressive 1,000,000 hip flexions, many of them travel similar distances as a professional cyclist, incurring similar risks for developing FLIA. If untreated, FLIA may have a pronounced impact on quality of life. Professional athletes may have to end their careers prematurely. In a substantial subset of cyclists, abnormalities may even lead to complete occlusion and/or thrombosis, with severe symptoms in daily life.

Clinical experience suggests that early detection and treatment leads to better outcomes. If diagnosed at a late stage, conservative management including changes in training behaviours and body position, or least-invasive surgical repair options will no longer suffice. The only options remaining would be to cease participation in the provocative activities altogether, or to undergo extensive and risky reconstructive vascular surgery. Understanding the early pathogenesis in order to improve detection is thus of paramount importance. Unfortunately, early detection is often missed due to the non-specific presentation of symptoms and the high level of specialisation required for clinical evaluation. There is a wide range of differential diagnoses that could contribute to the non-specific symptoms observed in the early stages of FLIA, including common musculoskeletal and tendinous injuries, mechanical or neurogenic pain referred from the low back or SI joint, hip acetabular labral tear, chronic exertional compartment syndrome, or fibromuscular dysplasia.8 Currently available diagnostic evaluations can have low sensitivity for an athletic population.

There is no single gold-standard evaluation for diagnosing FLIA. The current consensus suggests that the best single functional test is a provocative maximal exercise test on a cycle ergometer, followed by measuring blood pressure at the ankle and brachial arteries (ankle-brachial blood pressure index; ABI) in a competitive posture. In the rare case that the problem is unilateral, the sensitivity is 73%. If the problem is bilateral, the sensitivity is only 43%. Imaging techniques, including echo-Doppler examination, magnetic resonance angiogram (MRA), and computed tomography (CT) scan are more sensitive, but they are more expensive, less accessible, and not part of primary care evaluation, instead being typically reserved for investigation of more severe or complex presentations, and to guide surgical repair.

Near-infrared Spectroscopy (NIRS) is an innovative technique that measures relative oxygenation in the muscle, as the balance of oxygenated and deoxygenated haemoglobin and myoglobin. Impaired arterial leg circulation, such as observed in peripheral vascular disease (PVD) has been shown to produce a drop in oxygen saturation of skeletal muscle tissue relative to workload or exercise performance, and delays in reoxygenation kinetics after exercise and ischemic vascular occlusion tests (VOT). Consequently, NIRS may be able to detect alterations in oxygenation that are associated with the level of arterial insufficiency. We recently reported proof of concept studies regarding the potential diagnostic role of both power output and NIRS in patients with diagnosed sport-related FLIA.

Complaints reported in the early stages of FLIA are powerlessness and pain in the leg muscles when cycling near maximal exertion, which rapidly disappear with rest. Traditionally, incremental ramp cycling exercise to maximal exercise tolerance has been used as a provocative functional test, after which clinical outcome measures including ABI are tested. As the condition progresses however, symptoms can occur earlier during exercise at a lower intensity and take longer to resolve during recovery. Multi-stage exercise protocols are commonly used to understand metabolic responses related to submaximal exercise intensity. Therefore, a progressive multi-stage cycling protocol with brief recovery intervals between work intervals will be introduced. This protocol is designed to allow for multiple opportunities to evaluate work and recovery responses in an intensity-dependent manner. Subjective symptoms, performance impairments (including limitations to cycling power output) and muscle oxygenation kinetic delays will be evaluated across submaximal workloads including after maximal intensity.

Understanding the onset of symptoms and objective signs of flow limitation with progressive exercise intensity will improve understanding of severity and progression of this condition. These outcome measures will be compared to healthy subjects, in order to develop normative values related to healthy performance, compared to pathological impairment. The use of a common multi-stage performance assessment protocol will improve the applicability of using this approach for screening and early detection of FLIA outside of a specialised vascular clinic.

It has been suggested that altered vascular function and structure may contribute to the appearance of symptoms in patients in which obvious stenosis or intraluminal disease is not apparent on imaging. In addition to standard clinical evaluation of the aortoiliac tract with echo-Doppler ultrasound, vascular flow velocity will be recorded for later offline analysis of pulse wave velocity as a measurement of arterial stiffness.

02

Conditions studied

  • Near-Infrared Spectroscopy
  • Iliac Artery Stenosis
  • Iliac Artery Disease
  • Iliac Artery Occlusion

Keywords

  • FLIA
  • NIRS
  • Endofibrosis
03

In context

Lead sponsor

Maxima Medical Center is the lead sponsor of 28 studies on the registry; 15 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 40 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Patients will be recruited after the diagnosis of FLIA is given during weekly standard clinical care.

Healthy subjects will be recruited from local cycling clubs. They completed a standardized questionnaire excluding presence of risk factors such as smoking and positive cardiovascular family history. Candidates with FLIA were excluded. Candidates who fulfilled all study criteria, served as the control group

Inclusion criteria

  • Aged ≥ 18 years and ≤ 40 years
  • Trained cyclist or triathlete regularly training at least \~3/week for at least five years and identifying with a particular cycle-sport

Exclusion criteria

Exclusion Criteria:

  • Earlier vascular iliac surgery
  • Microvascular abnormalities (e.g. diabetes),
  • Vascular abnormalities outside of the iliac region,
  • Heart failure (New York Heart Association class >I),
  • Orthopedic/neurological entities potentially limiting exercise capacity,
  • Obesity.
  • Adipose tissue thickness > 7.5 mm

These excluding conditions are considered as medical safety precautions to maximal exercise or as risk of unexpected pathophysiological effects confounding our primary outcome measures.

It is known that a high level of adipose tissue thickness (ATT) influences the accuracy of NIRS measurement of underlying muscular tissue. A > 7.5 mm ATT cut-off point at the site of NIRS measurement determined with a skinfold caliper (Harpenden, Baty International West Sussex, UK) was chosen. The ATT is calculated as half the skinfold thickness.

05

Study design

Observational model
Case-control
Time perspective
Prospective
Enrollment
60 participants (actual)
Patient registry
No

Groups and cohorts

  • Healthy subjects

    Subjects without FLIA

    Other: Cycling test · Other: Occlusion tests · Device: NIRS during cycling · Device: CPET · Device: Echo-Doppler examination

  • Patient subjects

    Subjects with FLIA

    Other: Cycling test · Other: Occlusion tests · Device: NIRS during cycling · Device: CPET · Device: Echo-Doppler examination

Interventions

  • OtherCycling test

    RAMP and MULTI-STAGE test

  • OtherOcclusion tests

    Occlusion test before and after exercise

  • DeviceNIRS during cycling

    NIRS devices measuring oxygenation during exercise

  • DeviceCPET

    Cardiopulmonary exercise testing (heart rate, pulmonary gas exchange) during exercise

  • DeviceEcho-Doppler examination

    Peak systolic velocity and vascular stiffness measurements in the iliac-aortic tract

06

What researchers measure

Primary outcomes

  1. Power-deoxygenation (PD) profile

    Power-deoxygenation (PD) profile: The ratio of power output to deoxygenation (eg. power/deoxy\[heme\]) as a proxy for the metabolic disturbance at the working muscle relative to the workload.

    Time frame: During cyclingtest day 1

  2. Near Infrared Spectroscopy (NIRS) deoxygenation parameters

    Baseline: Average 60-second value before the start of exercise. min: the minimum 5-second mean value attained during exercise. max: the maximum 5-second mean value attained typically during the recovery after exercise. Δexercise amplitude: the difference between baseline and minimum values.

    Time frame: During cyclingtest day 1

  3. Near Infrared Spectroscopy (NIRS) deoxygenation parameters

    Baseline: Average 60-second value before the start of exercise. min: the minimum 5-second mean value attained during exercise. max: the maximum 5-second mean value attained typically during the recovery after exercise. Δexercise amplitude: the difference between baseline and minimum values.

    Time frame: During cyclingtest day 2

  4. NIRS delta_recovery amplitude

    The difference between minimum and maximum value.

    Time frame: During cyclingtest day 1

  5. NIRS delta_recovery amplitude

    The difference between minimum and maximum value.

    Time frame: During cyclingtest day 2

  6. NIRS reoxygenation kinetics: tau

    Time constant (tau, in seconds): the time constant parameter of a monoexponential curve fit to the reoxygenation profile after each work stage.

    Time frame: Immediately after exercise day 1

  7. NIRS reoxygenation kinetics: Time delay

    Time delay (TD, in seconds): the delay before systematic rise in oxygenation after each work stage.

    Time frame: Immediately after exercise day 1

  8. NIRS reoxygenation kinetics: Mean Response Time

    Mean response time (MRT, in seconds): the sum of TD and tau.

    Time frame: Immediately after exercise day 1

  9. NIRS reoxygenation kinetics: Half value time

    Half value recovery time (HVT, in seconds): the time required to reoxygenate half of the total amplitude during recovery after each work stage.

    Time frame: Immediately after exercise day 1

  10. NIRS reoxygenation kinetics: Peak reoxygenation rate

    Peak reoxygenation rate (SmO2/sec): a linear estimation of the peak resaturation slope, representing the magnitude of greatest mismatch between oxygen supply and utilization at the tissue during recovery kinetics, after each work stage.

    Time frame: Immediately after exercise day 1

  11. NIRS reoxygenation kinetics: Peak reoxygenation MRT

    Peak reoxygenation MRT: an estimate of the time to occurrence of the peak reoxygenation rate, analogous to the MRT in a monoexponential curve, and representing the balance of recovery kinetics of oxygen supply and utilization in the tissue after each work stage.

    Time frame: Immediately after exercise day 1

  12. NIRS reoxygenation kinetics: tau

    Time constant (tau, in seconds): the time constant parameter of a monoexponential curve fit to the reoxygenation profile after each work stage.

    Time frame: Immediately after exercise day 2

  13. NIRS reoxygenation kinetics: Time delay

    Time delay (TD, in seconds): the delay before systematic rise in oxygenation after each work stage.

    Time frame: Immediately after exercise day 2

  14. NIRS reoxygenation kinetics: Mean response time

    Mean response time (MRT, in seconds): the sum of TD and tau.

    Time frame: Immediately after exercise day 2

  15. NIRS reoxygenation kinetics: Half Value time

    Half value recovery time (HVT, in seconds): the time required to reoxygenate half of the total amplitude during recovery after each work stage.

    Time frame: Immediately after exercise day 2

  16. NIRS reoxygenation kinetics: Peak reoxygenation rate

    Peak reoxygenation rate (SmO2/sec): a linear estimation of the peak resaturation slope, representing the magnitude of greatest mismatch between oxygen supply and utilization at the tissue during recovery kinetics, after each work stage.

    Time frame: Immediately after exercise day 2

  17. NIRS reoxygenation kinetics: Peak reoxygenation MRT

    Peak reoxygenation MRT: an estimate of the time to occurrence of the peak reoxygenation rate, analogous to the MRT in a monoexponential curve, and representing the balance of recovery kinetics of oxygen supply and utilization in the tissue after each work stage.

    Time frame: Immediately after exercise day 2

Secondary outcomes

  1. Recovery kinetics VO2/NIRS comparison

    To describe skeletal muscle oxygenation kinetics vs pulmonary oxygen uptake kinetics in both healthy cyclists and patients with FLIA

    Time frame: After stages/maximal exercise. This is an offline analyses and therefore takes the time of the stage (1 minute for in between blocks; 5 minutes for maximal exercise)

  2. Vascular Occlusion Test - Reactive Hyperemia Area Under The Curve

    Reactive Hyperemia area under the curve: the area of the NIRS signal (eg. SmO2⋅sec) will be calculated during the recovery from occlusion, as the total area under the curve and above the baseline value before cuff inflation during the first 4-minutes of recovery. (This will be calculated from the same VOT for Outcome 1

    Time frame: Before cycling test day 1

  3. Multiple reoxygenation kinetics - Primary Component Time constant tau

    Primary component time constant (tau): the time constant parameter of a monoexponential curve fit to the rise in VO2 at the start of each work stage.

    Time frame: Between intervention day 1 (1-minute stages of block-protocol) and immediately after the intervention day 2 (ramp maximal test)

  4. Multiple reoxygenation kinetics - Cardiodynamic component time delay

    Cardiodynamic component time delay (TD): the delay before systematic rise in VO2 at the start of each work stage.

    Time frame: Between intervention day 1 (1 minustages of block-protocol) and immediately after the intervention day 2 (ramp maximal test)

  5. Multiple reoxygenation kinetics - Δdeoxy[heme] / ΔVO2 onset kinetics

    Δdeoxy\[heme\] / ΔVO2 onset kinetics: The oxygenation and VO2 curves will be normalized at the start of each work stage to a starting baseline and the eventual steady-state, as 0-100% of the response profile. The relative overshoot of Δdeoxy\[heme\] vs ΔVO2 can then be used to describe the matching of perfusive O2 delivery to O2 extraction.

    Time frame: During intervention day 1 (stages of block-protocol)

  6. Multiple reoxygenation kinetics - Δdeoxy[heme] / ΔVO2 recovery kinetics

    Δdeoxy\[heme\] / ΔVO2 recovery kinetics: The same comparison of the response profiles of deoxy\[heme\] and VO2 will be performed during recovery after work stages.

    Time frame: Between intervention day 1 (stages of block-protocol) and immediately after the intervention day 2 (ramp maximal test)

  7. Vascular Occlusion Test (VOT): Microvascular Responsiveness

    Microvascular Responsiveness (peak reoxygenation rate, eg. SmO2/sec): the linear slope of reoxygenation when the occlusion cuff is removed will be taken as the rate of reperfusion, representing microvascular responsiveness, a proxy for vasodilatory capacity and vascular function.

    Time frame: Before and after cycling test day 1

  8. Vascular Occlusion Test (VOT): Reactive Hyperemia

    Reactive Hyperemia area under the curve: the area of the NIRS signal (eg. SmO2⋅sec) will be calculated during the recovery from occlusion, as the total area under the curve and above the baseline value before cuff inflation during the first 4-minutes of recovery. Calculated from same in VOT (Outcome 7)

    Time frame: Before and after cycling test day 1

  9. Clinical Assessment

    Peak systolic velocity (PSV): Measurement of PSV at the external iliac artery with echo-Doppler ultrasound, before and after exercise, and with and without provocative maneuvers can be discriminative for FLIA.

    Time frame: During the same examination-appointment. The PSV will be measured following measurments of the arterial stiffness. This takes about 10 minutes for both sides.

  10. Clinical Assessment

    Ankle brachial index (ABI): Blood pressures will be taken at bilateral ankles and from the arm both before and after exercise. The ratio of ankle and brachial pressures adjusted for height, and a bilateral difference can be discriminative for FLIA.

    Time frame: Immediately after maximal exercise day 1

  11. Clinical Assessment

    Ankle brachial index (ABI): Blood pressures will be taken at bilateral ankles and from the arm both before and after exercise. The ratio of ankle and brachial pressures adjusted for height, and a bilateral difference can be discriminative for FLIA.

    Time frame: Immediately after maximal exercise day 2

  12. Clinical Assessment

    Arterial stiffness with echo-Doppler: Arterial pulse wave velocities will be measured at the carotid and external iliac/femoral arteries with echo-Doppler ultrasound, before and after exercise. The velocity of propagation of the pulse wave is taken as an index of arterial stiffness.

    Time frame: Before exercise day 1, the arterial stiffness will be measured by the vascular technician. While this will be analyzed offline, this takes a few minutes.

07

Study locations

1 site
  • Maxima MC
    Veldhoven, North Brabant 4600, Netherlands
08

References and documents

Publications

  • van Hooff M, Schep G, Bender M, Scheltinga M, Savelberg H. Sport-related femoral artery occlusion detected by near-infrared spectroscopy and pedal power measurements: a case report. Phys Sportsmed. 2021 May;49(2):241-244. doi: 10.1080/00913847.2020.1796182. Epub 2020 Jul 26. PubMed 32713244 ↗
  • van Hooff M, Schep G, Meijer E, Bender M, Savelberg H. Near-Infrared Spectroscopy Is Promising to Detect Iliac Artery Flow Limitations in Athletes: A Pilot Study. J Sports Med (Hindawi Publ Corp). 2018 Dec 20;2018:8965858. doi: 10.1155/2018/8965858. eCollection 2018. PubMed 30671480 ↗
  • Schep G, Bender MH, van de Tempel G, Wijn PF, de Vries WR, Eikelboom BC. Detection and treatment of claudication due to functional iliac obstruction in top endurance athletes: a prospective study. Lancet. 2002 Feb 9;359(9305):466-73. doi: 10.1016/s0140-6736(02)07675-4. PubMed 11853791 ↗
  • Bender MH, Schep G, de Vries WR, Hoogeveen AR, Wijn PF. Sports-related flow limitations in the iliac arteries in endurance athletes: aetiology, diagnosis, treatment and future developments. Sports Med. 2004;34(7):427-42. doi: 10.2165/00007256-200434070-00002. PubMed 15233596 ↗
  • Peach G, Schep G, Palfreeman R, Beard JD, Thompson MM, Hinchliffe RJ. Endofibrosis and kinking of the iliac arteries in athletes: a systematic review. Eur J Vasc Endovasc Surg. 2012 Feb;43(2):208-17. doi: 10.1016/j.ejvs.2011.11.019. Epub 2011 Dec 19. PubMed 22186674 ↗
  • Hinchliffe RJ. Iliac Artery Endofibrosis. Eur J Vasc Endovasc Surg. 2016 Jul;52(1):1-2. doi: 10.1016/j.ejvs.2016.04.006. Epub 2016 May 6. No abstract available. PubMed 27161328 ↗
  • INSITE Collaborators (INternational Study group for Identification and Treatment of Endofibrosis). Diagnosis and Management of Iliac Artery Endofibrosis: Results of a Delphi Consensus Study. Eur J Vasc Endovasc Surg. 2016 Jul;52(1):90-8. doi: 10.1016/j.ejvs.2016.04.004. Epub 2016 May 17. PubMed 27209899 ↗
  • Khan A, Al-Dawoud M, Salaman R, Al-Khaffaf H. Management of Endurance Athletes with Flow Limitation in the Iliac Arteries: A Case Series. EJVES Short Rep. 2018 Jul 20;40:7-11. doi: 10.1016/j.ejvssr.2018.06.001. eCollection 2018. PubMed 30101198 ↗
  • Peake LK, D'Abate F, Farrah J, Morgan M, Hinchliffe RJ. The Investigation and Management of Iliac Artery Endofibrosis: Lessons Learned from a Case Series. Eur J Vasc Endovasc Surg. 2018 Apr;55(4):577-583. doi: 10.1016/j.ejvs.2018.01.018. Epub 2018 Mar 13. PubMed 29548540 ↗
  • Schep G, Bender MH, Schmikli SL, Mosterd WL, Hammacher ER, Scheltinga M, Wijn PF. Recognising vascular causes of leg complaints in endurance athletes. Part 2: the value of patient history, physical examination, cycling exercise test and echo-Doppler examination. Int J Sports Med. 2002 Jul;23(5):322-8. doi: 10.1055/s-2002-33142. PubMed 12165882 ↗
  • Barstow TJ. Understanding near infrared spectroscopy and its application to skeletal muscle research. J Appl Physiol (1985). 2019 May 1;126(5):1360-1376. doi: 10.1152/japplphysiol.00166.2018. Epub 2019 Mar 7. PubMed 30844336 ↗
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  • Cornelis N, Chatzinikolaou P, Buys R, Fourneau I, Claes J, Cornelissen V. The Use of Near Infrared Spectroscopy to Evaluate the Effect of Exercise on Peripheral Muscle Oxygenation in Patients with Lower Extremity Artery Disease: A Systematic Review. Eur J Vasc Endovasc Surg. 2021 May;61(5):837-847. doi: 10.1016/j.ejvs.2021.02.008. Epub 2021 Mar 30. PubMed 33810977 ↗
  • Kleinloog JPD, van Hooff M, Savelberg HHCM, Meijer EJ, Schep G. Pedal power measurement as a diagnostic tool for functional vascular problems. Clin Biomech (Bristol). 2019 Jan;61:211-216. doi: 10.1016/j.clinbiomech.2018.12.020. Epub 2018 Dec 21. PubMed 30597482 ↗
  • Arnold J, Yogev A, Koehle MS. Evaluating Arterial Blood Flow Limitation Using Muscle Oxygenation and Cycling Power. Clin J Sport Med. 2022 May 1;32(3):e268-e275. doi: 10.1097/JSM.0000000000000942. Epub 2021 May 7. PubMed 34009787 ↗
  • Jamnick NA, Botella J, Pyne DB, Bishop DJ. Manipulating graded exercise test variables affects the validity of the lactate threshold and V ⁢ O 2 ⁢ peak . PLoS One. 2018 Jul 30;13(7):e0199794. doi: 10.1371/journal.pone.0199794. eCollection 2018. PubMed 30059543 ↗
  • Ihsan M, Abbiss CR, Lipski M, Buchheit M, Watson G. Muscle oxygenation and blood volume reliability during continuous and intermittent running. Int J Sports Med. 2013 Jul;34(7):637-45. doi: 10.1055/s-0032-1331771. Epub 2013 Mar 22. PubMed 23526593 ↗
  • Skovereng K, Ettema G, van Beekvelt M. Local muscle oxygen consumption related to external and joint specific power. Hum Mov Sci. 2016 Feb;45:161-71. doi: 10.1016/j.humov.2015.11.009. Epub 2015 Dec 1. PubMed 26650852 ↗
  • Heres HM, Schoots T, Tchang BCY, Rutten MCM, Kemps HMC, van de Vosse FN, Lopata RGP. Perfusion dynamics assessment with Power Doppler ultrasound in skeletal muscle during maximal and submaximal cycling exercise. Eur J Appl Physiol. 2018 Jun;118(6):1209-1219. doi: 10.1007/s00421-018-3850-y. Epub 2018 Mar 22. PubMed 29569054 ↗
  • Bopp CM, Townsend DK, Barstow TJ. Characterizing near-infrared spectroscopy responses to forearm post-occlusive reactive hyperemia in healthy subjects. Eur J Appl Physiol. 2011 Nov;111(11):2753-61. doi: 10.1007/s00421-011-1898-z. Epub 2011 Mar 16. PubMed 21409404 ↗
  • Niemeijer VM, Spee RF, Jansen JP, Buskermolen AB, van Dijk T, Wijn PF, Kemps HM. Test-retest reliability of skeletal muscle oxygenation measurements during submaximal cycling exercise in patients with chronic heart failure. Clin Physiol Funct Imaging. 2017 Jan;37(1):68-78. doi: 10.1111/cpf.12269. Epub 2015 Jul 3. PubMed 26147875 ↗
  • Chirinos JA, Segers P, Hughes T, Townsend R. Large-Artery Stiffness in Health and Disease: JACC State-of-the-Art Review. J Am Coll Cardiol. 2019 Sep 3;74(9):1237-1263. doi: 10.1016/j.jacc.2019.07.012. PubMed 31466622 ↗
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  • Rosenberry R, Nelson MD. Reactive hyperemia: a review of methods, mechanisms, and considerations. Am J Physiol Regul Integr Comp Physiol. 2020 Mar 1;318(3):R605-R618. doi: 10.1152/ajpregu.00339.2019. Epub 2020 Feb 5. PubMed 32022580 ↗
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Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 14, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05229250
Lead sponsor
Maxima Medical Center
Responsible party
Martijn van Hooff (Principal Investigator, Maxima Medical Center) — Principal investigator
First posted
Feb 8, 2022
Start date
Aug 24, 2022
Primary completion
May 1, 2023
Completion
Dec 1, 2023
Last update
Jan 14, 2026

Study contacts

M van Hooff, MSc
principal investigator · Maxima Medical Center

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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