Skip to main content
Download PDF

Decreased oxygen extraction during cardiopulmonary exercise test in patients with chronic fatigue syndrome

Journal of Translational Medicine volume 12, Article number: 20 (2014) Cite this article

Abstract

Background

The insufficient metabolic adaptation to exercise in Chronic Fatigue Syndrome (CFS) is still being debated and poorly understood.

Methods

We analysed the cardiopulmonary exercise tests of CFS patients, idiopathic chronic fatigue (CFI) patients and healthy visitors. Continuous non-invasive measurement of the cardiac output by Nexfin® (BMEYE B.V. Amsterdam, the Netherlands) was added to the cardiopulmonary exercise tests. The peak oxygen extraction by muscle cells and the increase of cardiac output relative to the increase of oxygen uptake (ΔQ’/ΔV’O2) were measured, calculated from the cardiac output and the oxygen uptake during incremental exercise.

Results

The peak oxygen extraction by muscle cells was 10.83 ± 2.80 ml/100ml in 178 CFS women, 11.62 ± 2.90 ml/100 ml in 172 CFI, and 13.45 ± 2.72 ml/100 ml in 11 healthy women (ANOVA: P=0.001), 13.66 ± 3.31 ml/100 ml in 25 CFS men, 14.63 ± 4.38 ml/100 ml in 51 CFI, and 19.52 ± 6.53 ml/100 ml in 7 healthy men (ANOVA: P=0.008).

The ΔQ’/ΔV’O2 was > 6 L/L (normal ΔQ’/ΔV’O2 ≈ 5 L/L) in 70% of the patients and in 22% of the healthy group.

Conclusion

Low oxygen uptake by muscle cells causes exercise intolerance in a majority of CFS patients, indicating insufficient metabolic adaptation to incremental exercise. The high increase of the cardiac output relative to the increase of oxygen uptake argues against deconditioning as a cause for physical impairment in these patients.

Background

Exercise intolerance is a frequent complaint from patients who meet the criteria for Chronic Fatigue Syndrome/Myalgic Encephalitis (CFS) and Idiopathic Chronic Fatigue (CFI) [1].

Objective tests for physical impairment measure the maximal oxygen uptake (peak V’O2) during a cardiopulmonary exercise test (CPET) [2–4]. Most studies agree that peak V’O2 is lower in CFS, but we need to understand the cause of the lower peak V’O2 to explain the pathogenesis.

The V’O2 depends on the uptake, transport and metabolism of oxygen in the muscle cells during physical exercise. In most CPET studies in CFS patients, the limitation of peak V’O2 is not attributed to a lower uptake and transport of oxygen to the muscle. A lower metabolic capacity of the muscle cell would change the demand for oxygen and thus lower the oxygen extraction (C(a-v)O2) and increase the cardiac output relative to V’O2 (ΔQ’/ΔV’O2) [5, 6]. In previous studies we, and others, did not find impaired mitochondrial activity to be a cause for a lower peak V’O2[4, 7], but abnormal mitochondrial activity was reported by some in CFS and CFI [8–10].

The aim of the present retrospective study was to determine to what extent the physical impairment in CFS and CFI was attributable to changes in uptake, transport and metabolism of oxygen in the muscle cells.

Methods

Data was collected from patients who attended the CFS Medical Centre Amsterdam. The data of sedentary men and women, physically active less than 1 hour per week, was added to the patient database. This group comprised visitors to the centre for cardiopulmonary exercise tests, check-ups and training program advice over the same period. We obtained information about the health status of this group, but laboratory tests were not included. Subjects using medication that could possibly influence the pulmonary, cardiovascular, immunologic system or cellular respiration were not included in the study. Chronic fatigue patients were assigned to the CFS or CFI group according to the criteria of Fukuda [1]. Operational criteria for assignment were: a score of >40 on the fatigue subscale of the Checklist Individual Strength (CIS-20) [11], score of?≤?35 for vitality, ≤ 62.5 for Social Functioning and ≤50 for Role-Physical on the SF-36 [12] and ≥4 positive scores (≥7,5) of the additional symptoms of the CDC Symptom Inventory –DLV [13] for the diagnosis of CFS and ≤4 positive scores (≥7,5) of the additional symptoms of the CDC Symptom Inventory –DLV for the diagnosis of idiopathic chronic fatigue (CFI) . The cognitive function of patients was screened with the Shifting Attentional Test Visual of the Amsterdam Neuropsychological Tasks [14]. Normal Z-score in this test is -2 to +2.

All patients completed a CPET as part of the diagnostic procedure. The protocol of the CPET was described before [4]. All subjects performed a symptom limited CPET on a cycle ergometer (Excalibur, Lode, Groningen, The Netherlands) as described by Wassermann et al. [15]: 3 min without activity, 3 min of unloaded pedalling, followed by cycling against increasing resistance until exhaustion (ramp protocol) and concluded by 3 min cycling without resistance. The work rate increase was estimated from history, physical examination, gender, weight and height. Verbal encouragement was used to maximise performance during the last phase of incremental exercise. Exhaustion of the leg muscles was the limiting symptom in all participants. The V’E, V’O2, V’CO2 and oxygen saturation were continuously measured (Metasoft). The ECG was continuously recorded and blood pressure was measured every 2 min. Maximal exercise capacity was expressed as peak oxygen uptake per kilogram bodyweight and as percentage of predicted maximal oxygen uptake [16]. Non-invasive stroke volume measurement by continuous beat-to-beat pulse contour analysis (Nexfin) was added to the standard measurements of the CPET [17]. Oxygen extraction and ΔQ’/ΔV’O2 were calculated from the oxygen uptake and the cardiac output (C(a-v)O2 = 100 × V’O2/ CO and (Q’max-Q’rest)/(V’O2max-V’O2rest)) [18]. All subjects signed an informed consent for the use of the data for analysis and publication.

Statistical analysis was conducted using the IBM Statistical Package for the Social Sciences (19.0 for Windows, Chicago, Ill, US). The results were presented as the mean?±?standard deviation (SD). Kolmogorov-Smirnov tests with Lilliefors significance correction for normality showed that the data were normally distributed. Differences between groups were tested with Analysis of Variance (ANOVA) and Bonferroni post hoc analysis. Pearson product-moment correlation coefficient was calculated as a measure of the strength of the relationship between 2 variables. Statistical significance of two-tailed tests was determined by an alpha level of 0.05.

Results

Data was collected and analysed from a total of 444 subjects who visited the CFS/ME Medical Centre Amsterdam between June 2008 and June 2013: 203 CFS patients (178 women), 223 CFI patients (172 women) and 18 healthy visitors (11 women) (Table 1).

Table 1 Demographic data and results
Full size table

Post hoc Bonferroni analysis revealed that the body weight of healthy males was higher than the body weight of male CFI patients (P = 0.036, 95% CI: 0.70; 27.95).

Haemoglobin was not different in CFS and CFI patients (Table 1). In female patients haemoglobin was not related to O2 extraction (r = 0.077, P = 0.155) or to the increase of cardiac output relative to oxygen uptake (ΔQ’/ΔV’O2) (r = -0.008, P = 0.882). In male patients haemoglobin was related to O2 extraction (r = 0.245, P = 0.047) but not to ΔQ’/ΔV’O2 (r = -0.140, P = 0.273).

The pulmonary ventilation tests showed no difference between the CFS, CFI and healthy groups (data not shown) and the cardiac index was similar in the groups at any time during the CPET. Blood pressure was within normal limits in all tests.

At the anaerobic threshold, O2 extraction in healthy women was higher than in CFS (P = 0.008, 95% CI: 0.378; 3.273). The O2 extraction in healthy men was higher than in CFS (P = 0.044, 95% CI: 0.064; 6.221) and higher than in CFI (P = 0.023, 95% CI: 0.355; 6.172).

At peak exercise O2 extraction was higher in healthy women than in CFS (P = 0.010, 95% CI: 0.49; 4.74) and higher in CFI than in CFS (P = 0.030, 95% CI: 0.06; 1.52). The O2 extraction was higher in healthy men than in CFS (P = 0.006, 95% CI: 1.36; 10.36) and higher than in CFI (P = 0.018, 95% CI: 0.65; 9.13).

The lowest level of O2 extraction at maximal workload was 10.0 ml/100 ml in the group of healthy women, 5.4 ml/100 ml in CFI and 4.4 ml/100 ml in female CFS patients. The lowest O2 extraction at maximal workload in males was 12.5 ml/100 ml in the healthy group, 8.2 ml/100 ml in the CFI and 6.9 ml/100 in CFS patients.

The increase of cardiac output relative to oxygen uptake (ΔQ’/ΔV’O2) was lower in healthy women than CFS (P = 0.011, 95% CI: 0.45; 4.72) and in healthy men than CFS (P = 0.037, 95% CI: 0.08; 3.58).

In the fatigue patients a low oxygen extraction (≤10 ml/100 ml) coincided with a increased response time of 2.35?±?0.19 versus 1.79?±?0.13 (P = 0.001, 95% CI: -1.19; -0.33) in the Shifting Attentional test visual of the ANT.

Discussion

The lower maximal exercise capacity (peak V’O2) of CFS and CFI patients was related to a lower oxygen uptake of the muscle cells (C(a-v)O2) and a higher increase of cardiac output relative to V’O2 (ΔQ’/ΔV’O2) than in healthy men and women.

The lower peak V’O2 was not explained by an impairment of ventilation. The stroke volume and cardiac output increased during the exercise test, but at no level of effort a consistent difference was seen between the three groups, indicating a normal adaptation of the heart to increasing workload in CFS patients. This result was in accordance with previous studies [2, 4, 19]. Stroke volume in men (n = 83) during exercise test was not different from reported values by Nexfin [17], gas rebreathing [5] and impedance cardiography [20]. Resting values were 78.9?±?12.8 ml in this study, 80?±?9 ml by Nexfin and 73.8?±?10.1 ml by impedance cardiography and at peak 100.7?±?18.0 ml in this study, 107.5?±?7.2 ml by gas rebreathing and 97.9?±?6.4 ml by impedance cardiography. Peak cardiac output in men was 192.0?±?92.9 ml/kg/min in this study and 212?±?37 ml/kg/min by acetylene rebreathing [6].

We have no haemoglobin data of the healthy visitors. It is possible that the haemoglobin values of patients, although within normal limits [21], were lower than the values of healthy visitors. The mean value of the healthy female visitors would need to be ±10 mmol/l (1 mmol Hb?≈?1.5 ml/100 ml O2 extraction) to explain the difference of O2 extraction by a difference of haemoglobin [15]. A high cardiac index, caused by low haemoglobin would also have been present during rest [22], but we found no difference between the 3 groups. In men haemoglobin correlated with oxygen extraction, but explained only 6% of the variance at peak V’O2.

The oxygen extraction increases during incremental exercise and a lower value of peak oxygen extraction in the CFS and CFI groups might be attributed to insufficient effort, caused by lack of motivation. This, however, would not explain the lower oxygen extraction at the anaerobic threshold and the higher slope of the ΔQ’/ΔV’O2. Another cause for the lower V’O2 in CFS and CFI could be the deconditioning in these patients, but the value of the increase of cardiac output relative to the oxygen uptake (ΔQ’/ΔV’O2) is independent from motivation and deconditioning [6] (normal ΔQ’/ΔV’O2?≈?5).

The most probable cause for the low peak V’O2, the low oxygen extraction and the high ΔQ’/ΔV’O2 in CFS and CFI patients was an attenuated cell metabolism. The low oxygen extraction during exercise was also reported in mitochondrial pathology [6], systemic lupus erythematosus [23], HIV [5] and myophosphorylase deficiency [24].

This result is also not in contradiction to the abnormal proton handling that was reported during and after cessation of exercise in CFS patients [25, 26].

The peak oxygen extraction in men and women who performed at the same level or better than the reference population of sedentary healthy subjects [27] was never less than 10 ml/100 ml as reported for healthy male subjects [28] (Figure 1). The same lower limit of 10 ml/100 ml was also reported in heart failure patients [29]. The O2 extraction of healthy participants in this study was higher than 10 ml/100 ml (Figure 1). The mean O2 extraction at maximal workload in fatigue patients was much lower and comparable to asymptomatic HIV infected individuals (10.8?±?0.5 ml/100 ml) [5].

Figure 1
figure 1

The peak oxygen uptake as percentage of predicted relative to the peak oxygen extraction. Vertical line: predicted peak oxygen uptake. Horizontal line: lowest oxygen extraction reported for healthy humans. No-CFS: Idiopathic Chronic Fatigue, CFS Chronic Fatigue Syndrome.

Full size image

The peak V’O2 of 73 CFS patients and 59 CFI patients was the same as or higher than the mean peak V’O2 of healthy sedentary people [27]. All CFS and CFI patients, however, experienced a physical impairment that was severe enough for the diagnosis. The conclusion must be that the subjective experience of physical impairment and the objective peak V’O2 in the CPET are not identical.

If the mitochondrial system is intact in CFS patients [4], the low oxygen extraction in a subgroup of CFS patients may indicate a downregulation of the activity in vivo. A downregulation by a factor that is involved in the activity of the immune system would explain the same phenomenon in SLE [23], different from damaged mitochondria in HIV [5, 30]. The lower oxygen extraction and higher ΔQ’/ΔV’O2 however do not differentiate between down regulation of cell metabolism and congenital or acquired mitochondrial pathology in CFS patients. The abnormal results of the Shifting Attentional test visual of the ANT suggest that the impaired oxygen uptake is not limited to the muscle cells.

Limitations

The validity of the results of this retrospective observational study is limited by the uncontrolled inclusion of the participants. The exercise protocol for healthy visitors was not different from the protocol for fatigued patients but we have no laboratory data of healthy visitors. Therefore we cannot exclude less than optimal results in this group due to unknown diseases. The accuracy and precision of the assessment of stroke volume by Nexfin in CFS patients during CPET was not reported yet. For accuracy we used the data of comparable studies in healthy subjects, the results of a study of repeated CPET’s is needed for the assessment of precision. We cannot exclude influence of haemoglobin on the oxygen transport capacity of the blood in healthy visitors.

Conclusions

CPET with continuous measuring of cardiac output by Nexfin allowed for the calculation of the presence and severity of metabolic causes of exercise intolerance. This retrospective study showed that a low oxygen extraction and a high ΔQ’/ΔV’O2 were consistent with a metabolic cause for exercise intolerance in 70% of CFS patients.

References

  1. Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A, Schluederberg A, Jones JF, Lloyd AR, Wessely S: The chronic fatigue syndrome: a comprehensive approach to its definition and study. Ann Intern Med. 1994, 121 (12): 953-959. 10.7326/0003-4819-121-12-199412150-00009.

    Article  CAS  PubMed  Google Scholar 

  2. VanNess JM, Snell CR, Strayer DR, Dempsey L, Stevens SR: Subclassifying chronic fatigue syndrome through exercise testing. Med Sci Sports Exerc. 2003, 35 (6): 908-913. 10.1249/01.MSS.0000069510.58763.E8.

    Article  PubMed  Google Scholar 

  3. VanNess JM, Snell CR, Stevens SR, Gibbons R, Keller B: Impaired aerobic metabolism 24-hours post exercise in chronic fatigue syndrome. The seventh international conference on chronic fatigue syndrome and fibromyalgia. 2004, Madison WI: USA

    Google Scholar 

  4. Vermeulen RCW, Kurk RM, Visser FC, Sluiter W, Scholte HR: Patients with chronic fatigue syndrome performed worse than controls in a controlled repeated exercise study despite a normal oxidative phosphorylation capacity. J Transl Med. 2010, 8: 93-10.1186/1479-5876-8-93.

    Article  PubMed Central  PubMed  Google Scholar 

  5. Cade W, Fantry LE, Nabar SR, Keyser RE: Decreased peak arteriovenous oxygen difference during treadmill exercise testing in individuals infected with the human immunodeficiency virus. Arch Phys Med Rehabil. 2003, 84 (11): 1595-1603. 10.1053/S0003-9993(03)00275-2.

    Article  PubMed  Google Scholar 

  6. Taivassalo T, Dysgaard Jensen T, Kennaway N, DiMauro S, Vissing J, Haller RG: The spectrum of exercise tolerance in mitochondrial myopathies: a study of 40 patients. Brain. 2003, 126: 413-423. 10.1093/brain/awg028.

    Article  PubMed  Google Scholar 

  7. Smits B, van den Heuvel L, Knoop H, Kusters B, Janssen A, Borm G, Bleijenberg G, Rodenburg R, van Engelen B: Mitochondrial enzymes discriminate between mitochondrial disorders and chronic fatigue syndrome. Mitochondrion. 2011, 11 (5): 735-738. 10.1016/j.mito.2011.05.005.

    Article  CAS  PubMed  Google Scholar 

  8. Vernon SD, Whistler T, Cameron B, Hickie IB, Reeves WC, Lloyd A: Preliminary evidence of mitochondrial dysfunction associated with post-infective fatigue after acute infection with Epstein Barr virus. BMC Infect Dis. 2006, 6: 7-10.1186/1471-2334-6-7.

    Article  Google Scholar 

  9. Myhill S, Booth NE, McLaren-Howard J: Chronic fatigue syndrome and mitochondrial dysfunction. Int J Clin Exp Med. 2009, 2 (1): 1-16.

    PubMed Central  CAS  PubMed  Google Scholar 

  10. Poca-Dias V, Ojanguren Saban I, Pereira Dos Santos C, Sanchez-Vizcaino E, Ariza Fernandez A, Garcia-Fructuoso F: Implicación de la mitocondria en la fatiga crónica. DOLOR. 2008, 23 (1): 18-24.

    Google Scholar 

  11. Vercoulen JHHM, Alberts M, Bleijenberg G: The Checklist Individual Strength (CIS). Gedragstherapie. 1999, 32: 31-36.

    Google Scholar 

  12. Jason L, Brown M, Evans M, Anderson V, Lerch A, Brown A, Hunnell J, Porter N: Measuring substantial reductions in functioning in patients with chronic fatigue syndrome. Disabil Rehabil. 2011, 33 (7): 589-598. 10.3109/09638288.2010.503256.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Vermeulen RCW: Translation and validation of the Dutch language version of the CDC symptom Inventory for assessment of Chronic Fatigue Syndrome (CFS). Population Health Metrics. 2006, 4: 12-10.1186/1478-7954-4-12.

    Article  PubMed Central  PubMed  Google Scholar 

  14. De Sonneville LMJ: Amsterdam Neuropsychological Tasks: a computer-aided assessment program. Cognitive ergonomics, clinical assessment and computer-assisted learning: Computers in Psychology. Edited by: Den Brinker BPLM, Beek PJ, Brand AN, Maarse SJ, Mulder LJM. 1999, Lisse: Swets & Zeitlinger, 6: 187-203.

    Google Scholar 

  15. Wassermann K, Hansen JE, Sue DY, Stringer WW, Sietsema KE, Sun X-G, Whipp BJ: Exercise testing and Interpretation. 2012, Philadelphia, Baltimore, New York, London, Buenos Aires, Hong Kong, Syndey: Tokyo Wolters Kluwer, Lippingcott Williams & Wilkins, Fifth edn

    Google Scholar 

  16. Gläser S, Koch B, Ittermann T, Schäper C, Dörr M, Felix SB, Völzke H, Ewert R, Hansen JE: Influence of age, sex, body size, smoking, and β blockade on key gas exchange exercise parameters in an adult population. Eur J Cardiovasc Prev Rehabil. 2009, 17: 469-476.

    Article  Google Scholar 

  17. Bartels SA, Stok WJ, Bezemer R, Boksem RJ, van Goudoever J, Cherpanath TG, van Lieshout JJ, Westerhof BE, Karemaker JM, Ince C: Noninvasive cardiac output monitoring during exercise testing: Nexfin pulse contour analysis compared to an inert gas rebreathing method and respired gas analysis. J Clin Monit Comput. 2011, 25 (5): 315-321. 10.1007/s10877-011-9310-4.

    Article  PubMed  Google Scholar 

  18. Martin WH, Montgomery J, Snell PG, Corbett JR, Sokolov JJ, Buckey JC, Maloney DA, Blomqvist CG: Cardiovascular adaptations to intense swim training in sedentary middle-aged men and women. Circulation. 1987, 75 (3): 323-330.

    Article  PubMed  Google Scholar 

  19. VanNess JM, Snell CR, Fredrickson DM, Strayer DR, Stevens SR: Assessment of functional impairment by cardiopulmonary exercise testing in patients with chronic fatigue syndrome. J Chronic Fatigue Syndrome. 2001, 8 (3–4): 103-109.

    Article  Google Scholar 

  20. Crisafulli A, Tangianu F, Tocco F, Concu A, Mameli O, Mulliri G, Caria MA: Ischemic preconditioning of the muscle improves exercise performance but not maximal oxygen uptake in humans. J Appl Physiol. 2011, 111: 530-536. 10.1152/japplphysiol.00266.2011.

    Article  PubMed  Google Scholar 

  21. Nederlandse Vereniging voor Hematologie: Normal values.http://www.hematologienederland.nl/normaalwaarden,

  22. Woodson RD, Wills RE, Lenfant C: Effect of acute and established anemia on O2 transport at rest, submaximal and maximal work. J Appl Physiol Respir Envir Exerc Physol. 1978, 44 (1): 36-43.

    CAS  Google Scholar 

  23. Sakauchi M, Matsumara T, Yamaoka T, Koami T, Shibata M, Nakamura M, Watanabe R, Kaneko K, Kato S, Sequchi H: Reduced muscle uptake of oxygen during exercise in patients with systemic lupus erythematosus. J Rheumatol. 1995, 22 (8): 1483-1487.

    CAS  PubMed  Google Scholar 

  24. Haller RG, Lewis SF, Cook JD, Blomqvist CG: Myophosphorylase deficiency impairs muscle oxidative metabolism. Ann Neurol. 2004, 17 (2): 196-199.

    Article  Google Scholar 

  25. Jones DEJ, Hollingsworth KG, Taylor R, Blamire AM, Newton JL: Abnormalities in pH handling by peripheral muscle and potential regulation by the autonomic nervous system in chronic fatigue syndrome. J Intern Med. 2010, 267 (4): 394-401. 10.1111/j.1365-2796.2009.02160.x.

    Article  CAS  PubMed  Google Scholar 

  26. Jones DEJ, Hollingsworth KG, Jakovljevic DG, Fattakhova G, Pairman J, Blamire AM, Trenell MI, Newton JL: Loss of capacity to recover from acidosis on repeat exercise in chronic fatigue syndrome: a case-control study. Eur J Clin Invest. 2011, 42 (2): 186-194.

    Article  PubMed  Google Scholar 

  27. Koch B, Schäper C, Ittermann T, Spielhagen T, Dörr M, Völzke H, Opitz CF, Ewert R, Gläser S: Reference values for cardiopulmonary exercise testing in healthy volunteers: the SHIP study. Eur Respir J. 2009, 33 (2): 389-397.

    Article  CAS  PubMed  Google Scholar 

  28. Stringer WW, Hansen JE, Wasserman K: Cardiac output estimated noninvasively from oxygen uptake during exercise. J Appl Physiol. 1997, 82 (3): 908-912.

    CAS  PubMed  Google Scholar 

  29. Agostoni PG, Wasserman K, Perego GB, Guazzi M, Cattadori G, Palermo P, Lauri G, Marenzi G: Non-invasive measurement of stroke volume during exercise in heart failure patients. Clin Sci (London). 2000, 98 (5): 545-551. 10.1042/CS19990237.

    Article  CAS  Google Scholar 

  30. Pothoff G, Wasserman K, Ostmann H: Impairment of exercise capacity in various groups of HIV-infected patients. Respiration. 1994, 61: 80-85. 10.1159/000196311.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Corine Reurts-Post for her aid in the collection and administration of the data.

Author information

Authors and Affiliations

  1. CFS/ME Medical Centre Amsterdam, Waalstraat 25-31, Amsterdam, 1078BR, Netherlands

    Ruud CW Vermeulen & Ineke WG Vermeulen van Eck

Authors
  1. Ruud CW Vermeulen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ineke WG Vermeulen van Eck
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ruud CW Vermeulen.

Additional information

Competing interests

The authors declare that they do not have competing interests.

Authors’ contributions

RV and IV contributed to the collection and analysis of the data. The first drafts of the paper were written by RV and RV and IV contributed to the final version of the article. Both authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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.

Reprints and permissions

About this article

Cite this article

Vermeulen, R.C., Vermeulen van Eck, I.W. Decreased oxygen extraction during cardiopulmonary exercise test in patients with chronic fatigue syndrome. J Transl Med 12, 20 (2014). https://doi.org/10.1186/1479-5876-12-20

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1479-5876-12-20

Keywords

Journal of Translational Medicine

ISSN: 1479-5876

Contact us