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Prognostic implications of renal dysfunction in patients hospitalized with heart failure: data from the last decade of clinical investigations

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Abstract

Numerous studies over the last decade have demonstrated that renal dysfunction and worsening renal function (WRF) are common in patients hospitalized for heart failure (HHF) and appear to be associated with poor in-hospital and post-discharge outcomes. Unfortunately, its etiology has not been completely understood, and its prediction during hospitalization remains challenging. The evaluation of renal impairment during hospitalization should take into consideration the underlying renal substrate (e.g., predisposing clinical comorbidities such as diabetes and hypertension), initiating mechanisms (e.g., in-hospital therapies such as diuretics), and amplifying factors (neurohormonal and hemodynamic profile changes). Various patterns of WRF may have different prognostic implications and may require different therapeutic approaches. WRF may be initially classified by duration (transient vs. persistent) and by etiology (elevated venous pressures vs. arterial underfilling). Other critical contributing factors during hospitalization include progressive left ventricular dysfunction, neurohormonal activation, and medications. Transient WRF as a result of aggressive therapy targeting congestion may not be associated with poor outcomes. Persistent WRF seen in patients with severe hemodynamic derangements may be associated with poor post-discharge prognosis. Future investigations must clarify the pathophysiological correlates of various patterns of WRF. To date, there is an unmet clinical need to achieve adequate control over congestion while preserving renal function in HHF patients. Thus, the aim of this review is to provide an in-depth and critical interpretation of the available data on the prognostic importance of RD and WRF during hospitalization in an effort to improve HF management.

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Abbreviations

ACEi:

Angiotensin converting enzymes inhibitors

AKI:

Acute kidney injury

ARB:

Angiotensin receptor blocker

BUN:

Blood urea nitrogen

CGE:

Cockcroft-Gault equation

CAD:

Coronary artery diseases

CI:

Confidence interval

CO:

Cardiac output

CrCl:

Creatinine clearance

EF:

Ejection fraction

GFR:

Glomerular filtration rate

HF:

Heart failure

HHF:

Hospitalized for heart failure

HR:

Hazard ratio

LV:

Left ventricular

MDRD:

Modification of diet in renal disease

NYHA:

New York heart association

OR:

Odds ratio

RD:

Renal dysfunction

RR:

Relative risk

SBP:

Systolic blood pressure

sCr:

Serum creatinine

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Conflict of interest

Filippo Brandimarte, MD: None; Muthiah Vaduganathan, MD MPH: None; Gian francesco Mureddu, MD: None; Giuseppe Cacciatore, MD: None; Hani N. Sabbah, PhD: Research Grants from Bayer Healthcare AG, Johnson and Johnson, Stealth Peptides, Sigma Tau, Consultant to Bayer Healthcare AG, and Johnson and Johnson; Gregg C. Fonarow, MD: Consultant for Novartis, Medtronic, and Takeda; Steven R. Goldsmith, MD: Consultant for Astellas and Otsuka; Javed Butler, MD MPH: Consultant to Cardiomems, Trevena, Bayer Healthcare, Takeda, and Amgen; Events Committee for WorldHeart and Corthera, Research Support, GE Healthcare, Medtronic, National Heart Lung and Blood Institute, National Institutes of Health; Francesco Fedele, MD: None; Mihai Gheorghiade, MD: Consultant – Abbott Laboratories (modest), Astellas (modest), Astra Zeneca (modest), Bayer Schering Pharma AG (significant), CorThera, Inc (modest), Cytokinetics, Inc (modest), DebioPharm SA (significant), Errekappa Terapeutici (Milan, Italy) (modest), GlaxoSmithKline (modest), Johnson & Johnson (modest), Medtronic (significant), Merck (modest), Novartis Pharma AG (significant), Otsuka Pharmaceuticals (significant), Pericor Therapeutics (significant), Protein Design Laboratories (modest), Sanofi-Aventis (modest), Sigma Tau (significant), Solvay Pharmaceuticals (significant).

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Brandimarte, F., Vaduganathan, M., Mureddu, G.F. et al. Prognostic implications of renal dysfunction in patients hospitalized with heart failure: data from the last decade of clinical investigations. Heart Fail Rev 18, 167–176 (2013). https://doi.org/10.1007/s10741-012-9317-z

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