Treadmill walking speed and survival prediction in men with cardiovascular disease: a 10-year follow-up study

Giorgio Chiaranda, Eva Bernardi, Luciano Codecà, Francesco Conconi, Jonathan Myers, Francesco Terranova, Stefano Volpato, Gianni Mazzoni, Giovanni Grazzi, Giorgio Chiaranda, Eva Bernardi, Luciano Codecà, Francesco Conconi, Jonathan Myers, Francesco Terranova, Stefano Volpato, Gianni Mazzoni, Giovanni Grazzi

Abstract

Objective: To determine whether the walking speed maintained during a 1 km treadmill test at moderate intensity predicts survival in patients with cardiovascular disease.

Design: Population-based prospective study.

Setting: Outpatient secondary prevention programme in Ferrara, Italy.

Participants: 1255 male stable cardiac patients, aged 25-85 years at baseline.

Main outcome measures: Walking speed maintained during a 1 km treadmill test, measured at baseline and mortality over a median follow-up of 8.2 years.

Results: Among 1255 patients, 141 died, for an average annual mortality of 1.4%. Of the variables considered, the strongest predictor of all-cause mortality was walking speed (95% CI 0.45 to 0.75, p<0.0001). Based on the average speed maintained during the test, participants were subdivided into quartiles and mortality risk adjusted for confounders was calculated. Compared to the slowest quartile (average walking speed 3.4 km/h), the relative mortality risk decreased for the second, third and fourth quartiles (average walking speed 5.5 km/h), with HRs of 0.73 (95% CI 0.46 to 1.18); 0.54 (95% CI 0.31 to 0.95) and 0.20 (95% CI 0.07 to 0.56), respectively (p for trend <0.0001). Receiver operating curve analysis showed an area under the curve of 0.71 (p<0.0001) and the highest Youden index (0.35) for a walking speed of 4.0 km/h.

Conclusions: The average speed maintained during a 1 km treadmill walking test is inversely related to survival in patients with cardiovascular disease and is a simple and useful tool for stratifying risk in patients undergoing secondary prevention and cardiac rehabilitation programmes.

Keywords: cardiac patients; survival; walking speed.

Figures

Figure 1
Figure 1
Survival curves of the quartiles stratified according to average walking speed.
Figure 2
Figure 2
The exponential relationship between quartiles average walking speed and relative risk of death.
Figure 3
Figure 3
Receiver operating characteristic curve for estimating the risk of death from any cause by average walking speed (area under the curve 0.71, 95% CI 0.68 to 0.74; p

References

    1. American Association of Cardiovascular and Pulmonary Rehabilitation Guidelines for cardiac rehabilitation and secondary prevention programs. 4th edn Champaign, IL: Human Kinetics, 2004
    1. Arena R, Myers J, Williams MA, et al. Assessment of functional capacity in clinical and research settings: AHA scientific statement. Circulation 2007;116:329–43
    1. Myers J, Prakash M, Froelicher V, et al. Exercise capacity and mortality among men referred for exercise testing. N Engl J Med 2002;346:793–801
    1. Solway S, Brooks D, Lacasse Y, et al. A qualitative systematic overview of the measurement properties of functional walk tests used in the cardiorespiratory domain. Chest 2001;119:256–70
    1. Knox AJ, Morrison JF, Muers MF. Reproducibility of walking test results in chronic obstructive airways disease. Thorax 1988;43:388–92
    1. Kaddoura S, Patel D, Parameshwar J, et al. Objective assessment of the response to treatment of severe heart failure using a 9-minute walk test on a patient-powered treadmill. J Card Fail 1996;2:133–9
    1. Morice A, Smithies T. The 100 m walk: a simple and reproducible exercise test. Br J Dis Chest 1984;78:392–4
    1. Donnelly JE, Jacobsen DJ, Jakicic JM, et al. Estimation of peak oxygen consumption from a sub-maximal half mile walk in obese females. Int J Obes Relat Metab Disord 1992;16:585–9
    1. Oja P, Laukkanen R, Pasanen M, et al. A 2-km walking test for assessing the cardiorespiratory fitness of healthy adults. Int J Sports Med 1991;12:356–62
    1. Kline GM, Porcari JP, Hintermeister R, et al. Estimation of VO2max from a one-mile track walk, gender, age, and body weight. Med Sci Sports Exerc 1987;19:253–9
    1. Stevens D, Elpern E, Sharma K, et al. Comparison of hallway and treadmill six-minute walk tests. Am J Respir Crit Care Med 1999;160(5 Pt 1):1540–3
    1. Beaumont A, Cockcroft A, Guz A. A self paced treadmill walking test for breathless patients. Thorax 1985;40:459–64
    1. Swerts PM, Mostert R, Wouters EF. Comparison of corridor and treadmill walking in patients with severe chronic obstructive pulmonary disease. Phys Ther 1990;70:439–42
    1. Simonsick EM, Gardner AW, Poehlman ET. Assessment of physical function and exercise tolerance in older adults: reproducibility and comparability of five measures. Aging (Milano) 2000;12:274–80
    1. Newman AB, Simonsick EM, Naydeck BL, et al. Association of long-distance corridor walk performance with mortality, cardiovascular disease, mobility limitation, and disability. JAMA 2006;295:2018–26
    1. Dumurgier J, Elbaz A, Ducimetière P, et al. Slow walking speed and cardiovascular death in well functioning older adults: prospective cohort study. BMJ 2009;339:b4460.
    1. Harwood RH, Conroy SP. Slow walking speed in elderly people. BMJ 2009;339:b4236.
    1. Hall WJ. Update in geriatrics. Ann Intern Med 2006;145:538–43
    1. Cesari M. Role of gait speed in the assessment of older patients. JAMA 2011;305:93–4
    1. Beneke R, Meyer K. Walking performance and economy in chronic heart failure patients pre and post exercise training. Eur J Appl Physiol Occup Physiol 1997;75:246–51
    1. Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA 2011;305:50–8
    1. Stanaway FF, Gnjidic D, Blyth FM, et al. How fast does the Grim Reaper walk? Receiver operating characteristics curve analysis in healthy men aged 70 and over. BMJ 2011;343:d7679.
    1. Cesari M, Kritchevsky SB, Penninx BW, et al. Prognostic value of usual gait speed in well-functioning older people—results from the Health, Aging and Body Composition Study. J Am Geriatr Soc 2005;53:1675–80
    1. Cesari M, Kritchevsky SB, Newman AB, et al. Added value of physical performance measures in predicting adverse health-related events: results from the Health, Aging and Body Composition Study. J Am Geriatr Soc 2009;57:251–9
    1. Kavanagh T, Hamm LF, Beyene J, et al. Usefulness of improvement in walking distance versus peak oxygen uptake in predicting prognosis after myocardial infarction and/or coronary artery bypass grafting in men. Am J Cardiol 2008;101:1423–7
    1. Chiaranda G, Myers J, Mazzoni G, et al. Peak oxygen uptake prediction from a moderate, perceptually regulated, 1-km treadmill walk in male cardiac patients. J Cardiopulm Rehabil Prev 2012;32:262–9
    1. Thompson WR, Gordon NF, Pescatello LS ACSM's guidelines for exercise testing and prescription, 8th edn Philadelphia, PA: Lippincot Williams & Wilkins, 2010
    1. Ruopp MD, Perkins NJ, Whitcomb BW, et al. Youden index and optimal cut-point estimated from observations affected by a lower limit of detection. Biom J 2008;50:419–30
    1. Lee SJ, Hidler J. Biomechanics of overground vs. treadmill walking in healthy individuals. J Appl Physiol 2008;104:747–55
    1. Bouchard C, Malina RM, Perusse L. Genetics of fitness and physical performance. Human Kinetics, 1997:330–4
    1. Shaw LJ, Hachamovitch R, Redberg RF. Current evidence on diagnostic testing in women with suspected coronary artery disease: choosing the appropriate test. Cardiol Rev 2000;8:65–74
    1. Gulati M, Pandey DK, Arnsdorf MF, et al. Exercise capacity and the risk of death in women. The St James Women Take Heart Project. Circulation 2003;108:1554–9
    1. Tolea MI, Costa PT, Terracciano A, et al. Sex-specific correlates of walking speed in a wide age-ranged population. J Gerontol B Psychol Sci Soc Sci 2010;65B:174–84

Source: PubMed

3
Sottoscrivi