Literature DB >> 16290976

How do different indicators of cardiac pump function impact upon the long-term prognosis of patients with chronic heart failure?

Simon G Williams1, Mark Jackson, George Alastair Cooke, Diane Barker, Ashish Patwala, David Jay Wright, Khaled Albuoaini, Lip-Bun Tan.   

Abstract

BACKGROUND: The prognosis of patients with mild-moderate chronic heart failure (CHF) over a long-term follow-up period is more difficult to predict than for patients with more severe CHF in the short term. This study assessed the prognostic value of various indicators of cardiac pump function to gain insight into how different aspects of organ function impact upon prognosis.
METHODS: Unselected, consecutive patients with CHF (n = 219, 166 men, mean [+/-SD] age 56 +/- 13 years) who underwent symptom limited cardiopulmonary treadmill exercise testing with noninvasive estimation of cardiac output using carbon dioxide rebreathing techniques were followed up for a median period of 8.6 +/- 1.0 years in survivors. Cardiac power output (CPO) was calculated from the product of cardiac output and mean arterial pressure and cardiac reserve was estimated by subtracting resting from peak exercise CPO or cardiac output (CO).
RESULTS: All-cause mortality was 36% (78 deaths). Survivors had a significantly greater cardiac pumping reserve with the greatest difference seen in CPO reserve (+57%) and CO reserve (+49%) (both P < .001). Although various direct and indirect indicators of cardiac function were predictive of outcome on univariate analyses, multivariate analysis using the Cox proportional hazards model identified CO reserve to be the independent variable predictive of all-cause mortality, with a hazard ratio (95% CI) of 0.682 (0.612-0.757, P < .001) for each L/min increase in cardiac output reserve. Survival at 10 years in patients with tertiles of good, moderate, or poor cardiac output reserve was 89%, 63%, and 36.1%, respectively (P < .001).
CONCLUSION: In this long-term follow-up study involving a cohort of unselected ambulatory patients with mild-moderate CHF, cardiac pumping reserve measured noninvasively by cardiopulmonary exercise testing was found to be the strongest independent predictor of prognosis.

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Year:  2005        PMID: 16290976     DOI: 10.1016/j.ahj.2005.08.018

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  10 in total

1.  Modified high-intensity interval training increases peak cardiac power output in patients with heart failure.

Authors:  Shu-Chun Huang; Mei-Kuen Wong; Pyng-Jing Lin; Feng-Chun Tsai; Tieh-cheng Fu; Ming-Shien Wen; Chi-Tai Kuo; Jong-Shyan Wang
Journal:  Eur J Appl Physiol       Date:  2014-06-01       Impact factor: 3.078

2.  Prognostic role of cardiac power index in ambulatory patients with advanced heart failure.

Authors:  Justin L Grodin; Wilfried Mullens; Matthias Dupont; Yuping Wu; David O Taylor; Randall C Starling; W H Wilson Tang
Journal:  Eur J Heart Fail       Date:  2015-04-28       Impact factor: 15.534

Review 3.  Clinical Classification of Heart Failure Patients Using Cardiac Function during Exercise.

Authors:  Eric M Snyder; Erik H Van Iterson; Thomas P Olson
Journal:  Exerc Sport Sci Rev       Date:  2015-10       Impact factor: 6.230

4.  Turning Up the Flow: Cardiovascular 4D Flow MRI during Exercise.

Authors:  Michael Markl; Jeesoo Lee
Journal:  Radiol Cardiothorac Imaging       Date:  2020-06-18

Review 5.  The TNF-α/sphingosine-1-phosphate signaling axis drives myogenic responsiveness in heart failure.

Authors:  Jeffrey T Kroetsch; Steffen-Sebastian Bolz
Journal:  J Vasc Res       Date:  2013-04-16       Impact factor: 1.934

6.  Left ventricular and aortic dysfunction in cystic fibrosis mice.

Authors:  Zachary M Sellers; Attila Kovacs; Carla J Weinheimer; Philip M Best
Journal:  J Cyst Fibros       Date:  2012-12-24       Impact factor: 5.482

7.  Quantification of the impaired cardiac output response to exercise in heart failure: application of a non-invasive device.

Authors:  Jonathan Myers; Pradeep Gujja; Suresh Neelagaru; Leon Hsu; Daniel Burkhoff
Journal:  J Sports Sci Med       Date:  2009-09-01       Impact factor: 2.988

8.  Estimation of cardiac output in patients with congestive heart failure by analysis of right ventricular pressure waveforms.

Authors:  Mustafa Karamanoglu; Tom Bennett; Marcus Ståhlberg; Vincent Splett; Barbro Kjellström; Cecilia Linde; Frieder Braunschweig
Journal:  Biomed Eng Online       Date:  2011-05-13       Impact factor: 2.819

Review 9.  Cardiac myosin activators for heart failure therapy: focus on omecamtiv mecarbil.

Authors:  Edgardo Kaplinsky; Gordon Mallarkey
Journal:  Drugs Context       Date:  2018-04-23

10.  Does a Gradient-Adjusted Cardiac Power Index Improve Prediction of Post-Transcatheter Aortic Valve Replacement Survival Over Cardiac Power Index?

Authors:  Pradyumna Agasthi; Sai Harika Pujari; Farouk Mookadam; Andrew Tseng; Nithin R Venepally; Panwen Wang; Mohamed Allam; John Sweeney; Mackram Eleid; Floyd David Fortuin; David R Holmes; Nirat Beohar; Reza Arsanjani
Journal:  Yonsei Med J       Date:  2020-06       Impact factor: 2.759

  10 in total

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