Skip to main content
Log in

The initial slope of the VCO2/VO2-curve (s1) in cardiopulmonary exercise testing is a strong and independent predictor of outcome in patients with previous myocardial infarction

  • ORIGINAL PAPER
  • Published:
Clinical Research in Cardiology Aims and scope Submit manuscript

Abstract

Background

Detecting heart failure (HF) patients at risk is a relevant clinical problem. Our goal was to define associations of clinical HF-markers and exercise parameters with respect to their prognostic power in HF-patients.

Methods

We performed cardiopulmonary exercise testing (CPET) in 103 ischemic HF-patients. CPET-parameters included peak VO2, VO2 at AT, peak oxygen pulse, minimal CO2 and O2 equivalents, VE/VCO2 and s1, a motivation-independent and submaximal parameter representing the initial slope of the VCO2/VO2-curve that has not been described in HF-patients so far.

Results

Median follow-up was 668 days. The combined endpoint of cardiovascular death and rehospitalization due to HF occurred in 14 patients. Patients with/without events differed significantly regarding their age, NYHA-class, LVEF and NT-proBNP serum-levels. Patients with events had significantly lower peak VO2- and higher s1-values. NT-proBNP serum-levels, NYHA-class and LVEF were significantly correlated with peak VO2. Only age, peak VO2 and s1 were independent predictors of adverse events. Using multivariate analysis, s1 was a strong and independent parameter with good sensitivity and specificity.

Conclusion

s1 is an independent and powerful predictor in HF-patients. Since s1 is independent of maximal exercise capacity, s1 might be more accurate for the evaluation of HF-patients not willing or unable to perform maximal exercise.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

AT:

Anaerobic threshold

AUROC:

Area under the receiver operating characteristic curve

ACE:

Angiotensin converting enzyme

ARB:

Angiotensin receptor blocker

NT-proBNP:

N-terminal pro-brain natriuretic peptide

CAD:

Coronary artery disease

CHF:

Chronic heart failure

CPET:

Cardiopulmonary exercise test

CI:

Confidence interval

EqCO2 :

Ventilatory equivalent for CO2-exhalation

EqO2 :

Ventilatory equivalent for O2-inhalation

EqO2 min, EqCO2 min:

Minimal ventilatory equivalents for O2- and Co2-exchange

LVEF:

Left ventricular ejection fraction

Peak VO2 :

Peak oxygen uptake

Peak O2 pulse:

Peak oxygen uptake, adjusted to corresponding heart rate

RER:

Respiratory exchange ratio

RR:

Relative risk

S1:

Initial slope of the VCO2/VO2-curve

NYHA:

New York heart association

VE:

Minute ventilation

VE/VCO2 :

Slope of the VE/VCO2 curve

VO2 AT:

Oxygen uptake at the anaerobic threshold

References

  1. (1999) The cardiac insufficiency bisoprolol study II (CIBIS-II): a randomised trial. Lancet 353:9–13

  2. Baba R, Nagashima M, Goto M, et al (1996) Oxygen uptake efficiency slope: a new index of cardiorespiratory functional reserve derived from the relation between oxygen uptake and minute ventilation during incremental exercise. J Am Coll Cardiol 28:1567–1572

    Article  CAS  PubMed  Google Scholar 

  3. Basat O, Ucak S, Seber S, Oztekin E, Altuntas Y (2006) After myocardial infarction carvedilol improves insulin resistance compared to metoprolol. Clin Res Cardiol 95:99–104

    Article  PubMed  Google Scholar 

  4. Beaver WL, Wasserman K, Whipp BJ (1986) A new method for detecting anaerobic threshold by gas exchange. J Appl Physiol 60:2020–2027

    CAS  PubMed  Google Scholar 

  5. Bohm M, Werner N, Kindermann M (2006) Drug treatment of chronic heart failure. Clin Res Cardiol 95(Suppl 4):36–54; quiz 55–56

    Article  PubMed  CAS  Google Scholar 

  6. Bruce RA, Blackmon JR, Jones JW, Strait G (1963) Exercising testing in adult normal subjects and cardiac patients. Pediatrics 32(suppl):742–756

    PubMed  Google Scholar 

  7. Buller NP, Poole-Wilson PA (1988) Extrapolated maximal oxygen consumption: a new method for the objective analysis of respiratory gas exchange during exercise. Br Heart J 59:212–217

    Article  CAS  PubMed  Google Scholar 

  8. Chua TP, Ponikowski P, Harrington D, et al (1997) Clinical correlates and prognostic significance of the ventilatory response to exercise in chronic heart failure. J Am Coll Cardiol 29:1585–1590

    Article  CAS  PubMed  Google Scholar 

  9. Cohn JN, Johnson GR, Shabetai R, et al (1993) Ejection fraction, peak exercise oxygen consumption, cardiothoracic ratio, ventricular arrhythmias, and plasma norepinephrine as determinants of prognosis in heart failure. the V-HeFT VA Cooperative Studies Group. Circulation 87:VI5–VI16

    CAS  PubMed  Google Scholar 

  10. Cooper CB, Beaver WL, Cooper DM, Wasserman K (1992) Factors affecting the components of the alveolar CO2 output-O2 uptake relationship during incremental exercise in man. Exp Physiol 77:51–64

    CAS  PubMed  Google Scholar 

  11. Cowie MR, Mosterd A, Wood DA, et al (1997) The epidemiology of heart failure. Eur Heart J 18:208–225

    CAS  PubMed  Google Scholar 

  12. Davies LC, Francis DP, Piepoli M, Scott AC, Ponikowski P, Coats AJ (2000) Chronic heart failure in the elderly: value of cardiopulmonary exercise testing in risk stratification. Heart 83:147–151

    Article  CAS  PubMed  Google Scholar 

  13. Davies LC, Wensel R, Georgiadou P, et al (2006) Enhanced prognostic value from cardiopulmonary exercise testing in chronic heart failure by non-linear analysis: oxygen uptake efficiency slope. Eur Heart J 27:684–690

    Article  PubMed  Google Scholar 

  14. Francis DP, Shamim W, Davies LC, et al (2000) Cardiopulmonary exercise testing for prognosis in chronic heart failure: continuous and independent prognostic value from VE/VCO(2) slope and peak VO(2). Eur Heart J 21:154–161

    Article  CAS  PubMed  Google Scholar 

  15. Gitt AK, Wasserman K, Kilkowski C, et al (2002) Exercise anaerobic threshold and ventilatory efficiency identify heart failure patients for high risk of early death. Circulation 106:3079–3084

    Article  PubMed  Google Scholar 

  16. Ingle L, Goode K, Carroll S, et al (2007) Prognostic value of the VE/VCO2 slope calculated from different time intervals in patients with suspected heart failure. Int J Cardiol 118:350–355

    Article  PubMed  Google Scholar 

  17. Kleber FX, Vietzke G, Wernecke KD, et al (2000) Impairment of ventilatory efficiency in heart failure: prognostic impact. Circulation 101:2803–2809

    CAS  PubMed  Google Scholar 

  18. Krumholz HM, Chen YT, Wang Y, Vaccarino V, Radford MJ, Horwitz RI (2000) Predictors of readmission among elderly survivors of admission with heart failure. Am Heart J 139:72–77

    Article  CAS  PubMed  Google Scholar 

  19. Lavie CJ, Milani RV, Mehra MR (2004) Peak exercise oxygen pulse and prognosis in chronic heart failure. Am J Cardiol 93:588–593

    Article  PubMed  Google Scholar 

  20. Lipkin DP, Jones DA, Round JM, Poole-Wilson PA (1988) Abnormalities of skeletal muscle in patients with chronic heart failure. Int J Cardiol 18:187–195

    Article  CAS  PubMed  Google Scholar 

  21. Mancini DM, Eisen H, Kussmaul W, Mull R, Edmunds LH Jr, Wilson JR (1991) Value of peak exercise oxygen consumption for optimal timing of cardiac transplantation in ambulatory patients with heart failure. Circulation 83:778–786

    CAS  PubMed  Google Scholar 

  22. Mudge GH, Goldstein S, Addonizio LJ, et al (1993) 24th Bethesda conference: cardiac transplantation. Task force 3: recipient guidelines/prioritization. J Am Coll Cardiol 22:21–31

    Article  CAS  PubMed  Google Scholar 

  23. Myers J, Gullestad L, Vagelos R, et al (2000) Cardiopulmonary exercise testing and prognosis in severe heart failure: 14 ml/kg/min revisited. Am Heart J 139:78–84

    Article  CAS  PubMed  Google Scholar 

  24. Norozi K, Wessel A, Buchhorn R, et al (2007) Is the ability index superior to the NYHA classification for assessing heart failure?: comparison of two classification scales in adolescents and adults with operated congenital heart defects. Clin Res Cardiol 96:542–547

    Article  PubMed  Google Scholar 

  25. O’Neill JO, Young JB, Pothier CE, Lauer MS (2005) Peak oxygen consumption as a predictor of death in patients with heart failure receiving beta-blockers. Circulation 111:2313–2318

    Article  CAS  PubMed  Google Scholar 

  26. Packer M, Fowler MB, Roecker EB, et al (2002) Effect of carvedilol on the morbidity of patients with severe chronic heart failure: results of the carvedilol prospective randomized cumulative survival (COPERNICUS) study. Circulation 106:2194–2199

    Article  PubMed  Google Scholar 

  27. Peters-Klimm F, Muller-Tasch T, Schellberg D, et al. (2007) Guideline adherence for pharmacotherapy of chronic systolic heart failure in general practice: a closer look on evidence-based therapy. Clin Res Cardiol 97(4):244–252

    Google Scholar 

  28. Pitt B, Williams G, Remme W, et al (2001) The EPHESUS trial: eplerenone in patients with heart failure due to systolic dysfunction complicating acute myocardial infarction. Eplerenone post-AMI heart failure efficacy and survival study. Cardiovasc Drugs Ther 15:79–87

    Article  CAS  PubMed  Google Scholar 

  29. Poole-Wilson PA, Buller NP, Lipkin DP (1988) Regional blood flow, muscle strength and skeletal muscle histology in severe congestive heart failure. Am J Cardiol 62:49E–52E

    Article  CAS  PubMed  Google Scholar 

  30. Reybrouck T, Mertens L, Schepers D, Vinckx J, Gewillig M (1997) Assessment of cardiorespiratory exercise function in obese children and adolescents by body mass-independent parameters. Eur J Appl Physiol Occup Physiol 75:478–483

    Article  CAS  PubMed  Google Scholar 

  31. Robbins M, Francis G, Pashkow FJ, et al (1999) Ventilatory and heart rate responses to exercise: better predictors of heart failure mortality than peak oxygen consumption. Circulation 100:2411–2417

    CAS  PubMed  Google Scholar 

  32. Schuler J, Maier B, Behrens S, Thimme W (2006) Present treatment of acute myocardial infarction in patients over 75 years–data from the Berlin myocardial infarction registry (BHIR). Clin Res Cardiol 95:360–367

    Article  PubMed  Google Scholar 

  33. Shakar SF, Lowes BD, Lindenfeld J, et al (2004) Peak oxygen consumption and outcome in heart failure patients chronically treated with beta-blockers. J Card Fail 10:15–20

    Article  CAS  PubMed  Google Scholar 

  34. Simon T, Becker R, Voss F, et al (2008) Elevated B-type natriuretic peptide levels in patients with nonischemic cardiomyopathy predict occurrence of arrhythmic events. Clin Res Cardiol 97(5):306–309

    Google Scholar 

  35. Stevenson LW (1996) Selection and management of candidates for heart transplantation. Curr Opin Cardiol 11:166–173

    Article  CAS  PubMed  Google Scholar 

  36. Voller H (2006) Significance of changes in habits followed by risk reduction. Clin Res Cardiol 95(Suppl 6):VI6–VI11

    Article  PubMed  Google Scholar 

  37. Yasaka Y, Yamabe H, Yokoyama M (1997) Dependence of peak oxygen uptake on oxygen transport capacity in chronic heart failure: comparison of graded protocol and fixed protocol. Int J Cardiol 59:149–156

    Article  CAS  PubMed  Google Scholar 

  38. Zugck C, Haunstetter A, Kruger C, et al (2002) Impact of beta-blocker treatment on the prognostic value of currently used risk predictors in congestive heart failure. J Am Coll Cardiol 39:1615–1622

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ioakim Spyridopoulos MD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Honold, J., Geiger, L., Assmus, B. et al. The initial slope of the VCO2/VO2-curve (s1) in cardiopulmonary exercise testing is a strong and independent predictor of outcome in patients with previous myocardial infarction. Clin Res Cardiol 97, 882–890 (2008). https://doi.org/10.1007/s00392-008-701-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00392-008-701-6

Keywords

Navigation