Cited by 130

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Calculated Plasma Volume Status and Prognosis in Chronic Heart Failure

Ling, Hua Zen, Flint, Julia, Damgaard, Morten, Bonfils, Peter K., Cheng, Adrian S., Aggarwal, Suneil, Velmurugan, Shanti, Mendonca, Michelle, Rashid, Mohammed, Kang, Swan, Papalia, Francesco, Weissert, Susanne, Coats, Caroline J., Thomas, Martin, Kuskowski, Michael, Cohn, Jay N., Woldman, Simon, Anand, Inder S., Okonko, Darlington O.·2015·European Journal of Heart Failure

Abstract

Aims: Plasma volume (PV) expansion hallmarks worsening chronic heart failure (CHF) but no non-invasive means of quantifying volume status exists. Because weight and haematocrit are related to PV, they can be used to calculate relative PV status (PVS). We tested the validity and prognostic utility of calculated PVS in CHF patients. Methods and results: First, we evaluated the agreement between calculated actual PV (aPV) and aPV levels measured using 125Iodine-human serum albumin. Second, we derived PVS as: [(calculated aPV – ideal PV)/ideal PV] × 100%. Third, we assessed the prognostic implications of PVS in 5002 patients from the Valsartan in Heart Failure Trial (Val-HeFT), and validated this in another 246 routine CHF outpatients. On analysis, calculated and measured aPV values correlated significantly in 119 normal subjects and 30 CHF patients. In the Val-HeFT cohort, mean (+SD) PVS was –9 ± 8% and related to volume biomarkers such as brain natriuretic peptide (BNP). Over 2 years, 977 (20%) patients died. Plasma volume status was associated with death and first morbid events in a ‘J-shaped’ fashion with the highest risk seen with a PVS > –4%. Stratification into PVS quartiles confirmed that a PVS > –4% was associated with increased mortality (unadjusted hazard ratio 1.65, 95% confidence interval 1.44–1.88, χ2 = 54, P < 0.001) even after adjusting for 22 variables, including brain natriuretic peptide. These results were mirrored in the validation cohort. Conclusions: Relative PVS calculated from simple clinical indices reflects the degree to which patients have deviated from their ideal PV and independently relates to outcomes. The utility of PVS-driven CHF management needs further evaluation.

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Research works printed but not linked: 27

  1. Jessup, 2003, Heart failure, N Engl J Med, 348, 2007, 10.1056/NEJMra021498 · DOI
  2. National Institute for Health and Clinical Excellence, 2010 Guidelines for the Management of Chronic Heart Failure in Adults in Primary Care and Secondary Care
  3. Anand, 1989, Edema of cardiac origin. Studies of body water and sodium, renal function, hemodynamic indexes, and plasma hormones in untreated congestive cardiac failure, Circulation, 80, 299, 10.1161/01.CIR.80.2.299 · DOI
  4. Dupont, 2011, Impact of systemic venous congestion in heart failure, Curr Heart Fail Rep, 8, 233, 10.1007/s11897-011-0071-7 · DOI
  5. Kalra, 2002, The regulation and measurement of plasma volume in heart failure, J Am Coll Cardiol, 39, 1901, 10.1016/S0735-1097(02)01903-4 · DOI
  6. Packer, 1992, The neurohormonal hypothesis: a theory to explain the mechanism of disease progression in heart failure, J Am Coll Cardiol, 20, 248, 10.1016/0735-1097(92)90167-L · DOI
  7. Drazner, 2001, Prognostic importance of elevated jugular venous pressure and a third heart sound in patients with heart failure, N Engl J Med, 345, 574, 10.1056/NEJMoa010641 · DOI
  8. Damman, 2010, Congestion in chronic systolic heart failure is related to renal dysfunction and increased mortality, Eur J Heart Fail, 12, 974, 10.1093/eurjhf/hfq118 · DOI
  9. 1980, Recommended methods for measurement of red-cell and plasma volume: International Committee for Standardization in Hematology, J Nucl Med, 21, 793
  10. Stevenson, 1989, The limited reliability of physical signs for estimating hemodynamics in chronic heart failure, JAMA, 261, 884, 10.1001/jama.1989.03420060100040 · DOI
  11. Nagueh, 1997, Doppler tissue imaging. A noninvasive technique to assess intracardiac filling, J Am Coll Cardiol, 30, 1527, 10.1016/S0735-1097(97)00344-6 · DOI
  12. Abraham, 2011, Wireless pulmonary haemodynamic monitoring in chronic heart failure: a randomised controlled trial, Lancet, 377, 658, 10.1016/S0140-6736(11)60101-3 · DOI · Paper page
  13. Abraham, 2011, Intrathoracic impedance vs daily weight monitoring for predicting worsening heart failure events: results of the Fluid Accumulation Status Trial (FAST), Congest Heart Fail, 17, 51, 10.1111/j.1751-7133.2011.00220.x · DOI
  14. Chaudry, 2007, Patterns of weight change preceding hospitalization for heart failure, Circulation, 116, 1549, 10.1161/CIRCULATIONAHA.107.690768 · DOI
  15. Hakim, 2001, Handbook of dialysis, 236
  16. Longo, 2011, Harrison’s Principles of Internal Medicine, A-1
  17. Damgaard, 2006, Hemodynamic and neuroendocrine responses to changes in sodium intake in compensated heart failure, Am J Physiol Regul Integr Comp Physiol, 290, 1294, 10.1152/ajpregu.00738.2005 · DOI
  18. Bonfils, 2010, Impact of diuretic treatment and sodium intake on plasma volume in patients with compensated systolic heart failure, Eur Heart J, 12, 995
  19. Bland, 1995, Comparing methods of measurement: why plotting difference against standard method is misleading, Lancet, 346, 1085, 10.1016/S0140-6736(95)91748-9 · DOI · Paper page
  20. Guyton, 1976, Integration and control of circulatory function, Int Rev Physiol, 9, 341
  21. Feigenbaum, 2000, Contracted plasma and blood volume in chronic heart failure, J Am Coll Cardiol, 35, 51, 10.1016/S0735-1097(99)00530-6 · DOI
  22. Adlbrecht, 2008, Chronic heart failure leads to an expanded plasma volume and pseudoanaemia, but does not lead to a reduction in the body’s red cell volume, Eur Heart J, 29, 2343, 10.1093/eurheartj/ehn359 · DOI
  23. Androne, 2004, Relation of unrecognized hypervolemia in chronic heart failure to clinical status, hemodynamics, and patient outcomes, Am J Cardiol, 93, 1254, 10.1016/j.amjcard.2004.01.070 · DOI
  24. Binanay, 2005, Evaluation study of congestive heart failure and pulmonary artery catheterization effectiveness: the ESCAPE trial, JAMA, 294, 1625, 10.1001/jama.294.13.1625 · DOI
  25. Guazzi, 2010, Echocardiography with tissue Doppler imaging and cardiopulmonary exercise testing in patients with heart failure: a correlative and prognosis analysis, Int J Cardiol, 143, 323, 10.1016/j.ijcard.2009.03.053 · DOI
  26. Masson, 2008, Prognostic value of changes in N-terminal pro-brain natiuretic peptide in Val-HeFT (Valsartan Heart Failure Trial), J Am Coll Cardiol, 52, 997, 10.1016/j.jacc.2008.04.069 · DOI
  27. Testani, 2010, Potential effects of aggressive decongestion during the treatment of decompensated heart failure on renal function and survival, Circulation, 122, 265, 10.1161/CIRCULATIONAHA.109.933275 · DOI

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Metadata

Authors
Ling, H. Z., Flint, J., Damgaard, M., Bonfils, P. K., Cheng, A. S., Aggarwal, S., Velmurugan, S., Mendonca, M., Rashid, M., Kang, S., Papalia, F., Weissert, S., Coats, C. J., Thomas, M., Kuskowski, M., Cohn, J. N., Woldman, S., Anand, I. S., & Okonko, D. O.
Venue
European Journal of Heart Failure
Published
2014-12-03
Volume
17
Issue
1
Pages
35-43
ISSN
  • 1388-9842
  • 1879-0844
Cited by
130
References
2
Language
en

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