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Cardiopulmonary Exercise Testing and Prognosis in Hypertrophic Cardiomyopathy
Abstract
Background—: Exercise testing is performed in patients with hypertrophic cardiomyopathy to evaluate blood pressure response, a risk factor for sudden cardiac death. The prognostic role of exercise gas exchange variables is unknown. Methods and Results—: Between 1998 and 2010, 1898 patients (age 47±15 years, range 16–86 years; 67% male) with hypertrophic cardiomyopathy underwent cardiopulmonary exercise testing. A total of 178 (9.4%) patients reached the primary end point of all-cause mortality or heart transplant (death/transplant) during a median follow-up of 5.6 years (interquartile range 2.6–8.9), giving an annual event rate of 1.6% per person year. Peak oxygen consumption (adjusted hazard ratio [HR] 0.82, 95% confidence interval [CI] 0.77–0.88, P <0.001), ventilatory efficiency (adjusted HR 1.10, 95% CI 1.00–1.22, P =0.049), and ventilatory anaerobic threshold (adjusted HR 0.82, 95% CI 0.70–0.96, P =0.016) were predictors of the primary outcome after correction for age, sex, left atrial size, nonsustained ventricular tachycardia, and ejection fraction. The overall adjusted death/transplant estimates for patients in the lowest quartile with peak oxygen consumption ≤15.3 mL/kg/min were 14% at 5 years and 31% at 10 years. Peak oxygen consumption (HR 0.81, 95% CI 0.77–0.86, P <0.01) and ventilation to carbon dioxide production (HR 1.10, 95% CI 1.08–1.13, P <0.001) were predictors of death because of heart failure or transplantation but not sudden cardiac death or implantable cardioverter defibrillator shocks. Conclusions—: Cardiopulmonary exercise testing provides prognostic information in patients with hypertrophic cardiomyopathy. Submaximal exercise parameters, such as ventilatory efficiency and anaerobic threshold, measured alone or in combination with peak oxygen consumption, predict death from heart failure.
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CPET parameters such as peak oxygen consumption, ventilatory efficiency (VE/VCO2 slope), and anaerobic threshold can be useful for prognosis independent of LVEF and guide the need for advanced heart failure therapies such as cardiac transplantation.
“Specifically, CPET parameters such as peak oxygen consumption (pVO 2 ), ventilatory efficiency (VE/VCO 2 slope), and anaerobic threshold can be useful for prognosis independent of LVEF and guide the need for advanced heart failure therapies such as cardiac transplantation.”
From Current management of hypertrophic cardiomyopathy (2025) · cites this paper as [145]
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Cites
Partial residuals for the proportional hazards regression model
SCHOENFELD, D. (1982) · Biometrika · doi:10.1093/biomet/69.1.239 · Cited by 3,111
Balady, G. J., Arena, R., Sietsema, K., Myers, J., Coke, L., Fletcher, G. F., Forman, D., Franklin, B., Guazzi, M., Gulati, M., et al. (2010) · Circulation · doi:10.1161/cir.0b013e3181e52e69 · Cited by 1,964 · cited 1×
“Cardiopulmonary exercise testing (CPX) provides a non-invasive method for assessing the cardiovascular, pulmonary and skeletal muscle components of exercise performance.(5) In cardiovascular disease, CPX has many applications including the evaluation of patients with systolic”
MethodO'Mahony, C., Jichi, F., Pavlou, M., Monserrat, L., Anastasakis, A., Rapezzi, C., Biagini, E., Gimeno, J. R., Limongelli, G., McKenna, W. J., et al. (2014) · European Heart Journal · doi:10.1093/eurheartj/eht439 · Cited by 1,251
Self-citationA new measure of prognostic separation in survival data
Royston, P., & Sauerbrei, W. (2004) · Statistics in Medicine · doi:10.1002/sim.1621 · Cited by 450
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Research works printed but not linked: 45
- 10.1016/S0735-1097(03)00855-6 · DOI
- 10.1136/hrt.2005.068577 · DOI
- 10.1161/01.CIR.102.8.858 · DOI · Paper page
- 10.1136/hrt.2003.031161 · DOI
- 10.1161/01.CIR.83.3.778 · DOI
- 10.1161/CIRCULATIONAHA.111.035956 · DOI
- 10.1016/0735-1097(92)90244-H · DOI
- 10.1161/01.CIR.100.24.2411 · DOI
- 10.1161/CIRCULATIONAHA.111.058719 · DOI
- 10.1016/j.jacc.2005.07.051 · DOI
- 10.1161/01.CIR.82.6.1995 · DOI
- 10.1161/01.CIR.96.9.2987 · DOI
- 10.1093/eurheartj/ehp327 · DOI
- 10.1136/hrt.2007.126003 · DOI
- 10.1016/S0735-1097(00)00816-0 · DOI
- 10.1161/CIR.0b013e318223e2bd · DOI
- 10.1161/CIR.0b013e31826fb946 · DOI · Paper page
- 10.1161/01.cir.0000041428.99427.06 · DOI
- 10.1007/s10741-007-9067-5 · DOI · Paper page
- 10.1161/CIRCHEARTFAILURE.113.000471 · DOI
- 10.1136/hrt.77.2.130 · DOI
- 10.1161/01.CIR.93.5.841 · DOI · Paper page
- 10.1161/CIR.0b013e318223e230 · DOI
- 10.1016/0002-9149(76)90491-4 · DOI
- 10.1056/NEJMoa021332 · DOI · Paper page
- 10.1152/jappl.1983.55.5.1558 · DOI
- Wasserman K HJ, Sue DY, Stringer WW, Whipp BJ. Principles of Exercise Testing and Interpretation. Philadelphia, PA: Lippincott, Williams and Wilkins; 2005.
- 10.1016/0002-9149(64)90012-8 · DOI
- 10.1016/0034-5687(89)90076-5 · DOI
- Cox DR. Regression models and life-tables. Series b. J Royal Stat Soc Series B. 1972;34:187–220. · DOI · Paper page
- 10.1093/biomet/92.4.965 · DOI
- 10.1016/j.healun.2006.06.008 · DOI
- 10.1136/hrt.80.1.60 · DOI
- 10.1016/S0002-9149(00)00854-7 · DOI
- 10.1161/01.CIR.92.10.2886 · DOI
- 10.1136/hrt.52.6.602 · DOI
- 10.1053/euhj.1999.1905 · DOI
- 10.1136/heartjnl-2013-304914 · DOI
- 10.1016/j.amjcard.2012.01.363 · DOI
- 10.1249/MSS.0b013e31816459a1 · DOI
- 10.1097/00001573-199603000-00010 · DOI
- 10.1016/j.jacc.2005.04.043 · DOI
- 10.1371/journal.pone.0102969 · DOI
- 10.1136/hrt.81.4.441 · DOI
- 10.1093/eurheartj/ehu284 · DOI · Paper page
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Ommen, S. R., Ho, C. Y., Asif, I. M., Balaji, S., Burke, M. A., Day, S. M., Dearani, J. A., Epps, K. C., Evanovich, L., Ferrari, V. A., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001250 · Cited by 807
Writing Committee Members, Ommen, S. R., Mital, S., Burke, M. A., Day, S. M., Deswal, A., Elliott, P., Evanovich, L. L., Hung, J., Joglar, J. A., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000938 · Cited by 336
Current management of hypertrophic cardiomyopathy
Sikand, N., Stendahl, J., Sen, S., Lampert, R., & Day, S. (2025) · BMJ · doi:10.1136/bmj-2023-077274 · Cited by 26
Metadata
- Authors
- Coats, C. J., Rantell, K., Bartnik, A., Patel, A., Mist, B., McKenna, W. J., & Elliott, P. M.
- Venue
- Circulation: Heart Failure
- Published
- 2015-11
- Volume
- 8
- Issue
- 6
- Pages
- 1022-1031
- ISSN
- 1941-3289
- 1941-3297
- Cited by
- 148
- References
- 4
- Language
- en
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