Abstract
The number of hospitalizations for acute heart failure (HF) continues to increase and it remains the most common discharge diagnosis among Medicare beneficiaries. Prognosis after hospitalization for HF is poor, with high in-hospital mortality and even higher post-discharge mortality and rehospitalization rates. It is a complex clinical syndrome that varies widely with respect to clinical presentation and underlying pathophysiology. This paper reviews what is documented in the literature regarding the known pathophysiologic mechanisms reported in patients hospitalized for HF.
Keywords: heart failure, hospitalization, acute, pathophysiology, endothelial function
INTRODUCTION
The importance of heart failure (HF) hospitalizations is well recognized. There are over a million hospitalizations for HF annually in the United States, and they represent a turning point in the natural history of HF with a combined mortality and readmission rate of 30% within 90 days of discharge; a quarter of patients are readmitted within 30-days and 30% die within a year of hospitalization [1]. Hospitalizations are responsible for the majority of the $39 billion spent annually for HF care [1]. Over the last decade, many therapies have been evaluated in patients hospitalized for HF, with hundreds of millions of dollars invested. Despite positive signals in Phase II studies, none of these therapies have proven to reduce mortality or readmission rates [2•]. The reasons for this are multi-factorial, including drug effects, disease classification, patient selection, and trial conduct [3]. These hospitalizations represent a heterogeneous group of patients, the taxonomy is complex and remains without a consensus, and various terms have been used to describe the condition, including “acute HF“, “acute decompensated HF”, “acute HF syndromes”, and “hospitalized HF” [3–5]. Most studies have focused on treatment during the early phase of hospitalization for HF, and the interventions implemented were largely acute, in-hospital, short-term interventions. Interestingly, most of the deaths in these patients even in the first 30 days are not during the index hospitalization but subsequent to discharge. There remains uncertainly about the mechanisms that are related to acute HF. In this article, we review what is known about patient characteristics and pathophysiology of acute HF.
PATIENT CHARACTERISTICS
We selected recent clinical trials and registries that provide insights into the clinical profile of acute HF patients. Data from the Acute Decompensated Heart Failure National Registry (ADHERE) [6] and the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure (OPTIMIZE-HF) [7] registries provide insights into acute HF in a non-clinical trial setting, whereas the recently concluded Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure (ASCEND-HF) [8••] has generated important information about acute HF patients enrolled in a clinical trial.
Demographics
Demographic and clinical characteristics for patients from ADHERE, OPTIMIZE-HF and ASCEND-HF are shown in Table 1 [6–8]. In general, the mean age of patients enrolled in clinical trials for acute HF was younger than registry data. However, there was considerable overlap in the age range for these patients with a larger proportion of older patients. Similar overlap between racial and gender distribution was noted without any specific demographic predilection.
Table 1.
Characteristics of Participants in Recent Registries and Trials of Acute Heart Failure
| Characteristic | OPTIMIZE-HF (2003–2004) | ADHERE (2001–2003) | ASCEND (2007–2010) | |
|---|---|---|---|---|
|
| ||||
| N | 48,612 | 105,388 | 7,007 | |
|
| ||||
| Demographics | Nesiritide (N=3496) | Placebo (N=3511) | ||
|
| ||||
| Age, years | 73.1 (14.2) | 72.4 (14.0) | 67 (56–76) | 67 (56–76) |
| Female, n (%) | 25,537(52.0) | (52) | 1167(33.4) | 1224(34.9) |
| Black, n (%) | 8608(18.0) | (20) | 513(14.7) | 527(15.0) |
|
| ||||
| Heart Failure Characteristics | ||||
|
| ||||
| Ischemic etiology, n (%) | 22,219(46.0) | - | 2081(59.5) | 2133(60.8) |
| Left ventricular ejection fraction, % | 39.0(17.6) | 34.4(16.1) | - | - |
| Ejection fraction <40%, n (%) | 20,118(48.8) | 25,649/40,713(43.0) | 2127/2632 (80.8) | 2106/2649 (79.5) |
|
| ||||
| Comorbid Conditions | ||||
|
| ||||
| Atrial fibrillation, n (%) | 14,970(31.0) | (31) | 1306(37.4) | 1322(37.7) |
| Chronic kidney disease, n (%) | 9,515(20.0) | (30) | - | - |
| Diabetes, n (%) | 20,193(42.0) | (44) | - | - |
| Hypertension, n (%) | 34,479(71.0) | (73) | 2510(71.8) | 2548(72.6) |
|
| ||||
| Physical exam | ||||
|
| ||||
| Systolic blood pressure, mmHg | 143(33.2) | 144(32.6) | 123(110–140) | 124(110–140) |
| Heart rate, beats/min, | 87(21.5) | - | 82(72–95) | 82(72–95) |
|
| ||||
| Laboratory Tests | ||||
|
| ||||
| Serum sodium, mEq/L | 137(11.0) | - | 139(136–141) | 139(136–141) |
| Creatinine, mg/dL | 1.8(1.8) | 1.8(1.6) | 1.2(1.0–1.5) | 1.2(1.0–1.6) |
| B-type natriuretic peptide, pg/mL | 1273(1330.1) | - | 994(544–1925) | 989(543–1782) |
|
| ||||
| Therapy | ||||
|
| ||||
| ACE inhibitor or angiotensin receptor blocker, n (%) | 24,977(52.0) | (53) | 2088(59.7) | 2168(61.8) |
| Beta-blocker, n (%) | 25,800(53.0) | (48) | 2005(57.4) | 2069(58.9) |
| Loop diuretic, n (%) | 29,683(61.0) | (70) | 3316(94.9) | 3347(95.3) |
| Aldosterone Antagonists, n (%) | 3449(7.0) | - | 960(27.5) | 990(28.2) |
Data presented as mean (standard deviation) or median (interquartile range) as appropriate. ACE=angiotensin converting enzyme.
Comorbidities
Women admitted with acute HF appear to have less coronary disease and more hypertension than men, but a similar rate of atrial fibrillation (30%), diabetes mellitus (40%) and anemia (35%) [6, 9, 10]. Compared to white patients, blacks with acute HF are younger, less likely to have documented evidence of ischemic heart disease, and more likely to have hypertension [11]. Overall however, data from clinical trials and registries show that the distributions of the various common comorbidities that are frequently seen in the population are similarly present among patients with acute HF.
Signs and Symptoms
Dyspnea is the most common symptom reported by patients with acute HF, regardless of severity, followed by fatigue. Systolic blood pressure is higher among those enrolled in acute HF registries than those enrolled in clinical trials. Whether high blood pressure is the cause of HF worsening or a result of acute HF and neurohormonal activation is not clearly known, but it nevertheless provides a therapeutic target in ‘real-life’ acute HF patients. It is not surprising that 64% of those enrolled in OPTIMIZE-HF had rales on exam, as in acute HF the increased pulmonary capillary wedge pressure overwhelms even the hypertrophied lymphatics present in patients with HF chronically. Other signs like peripheral edema are also common.
PATHOPHYSIOLOGY
This section reviews the pathophysiologic mechanisms that have been attributed to or accompany acute HF.
Cardiac Structure and Function
Patients hospitalized for HF represent various phenotypes in terms of cardiac structure and function, including a left ventricular ejection fraction that varies from normal to severely depressed. Of note, lower ejection fraction is associated with worse outcomes, with risks converging above a left ventricular ejection fraction of 45–50% [12, 13]. Similarly, right ventricular dysfunction is associated with increased mortality [14, 15]. Left atrial enlargement and mitral regurgitation are of prognostic significance as well [16]. Mild to moderate functional mitral regurgitation is seen in 49% and severe in 24% of patients with HF [17] and is known to improve after treatment for acute decompensation [18]. Other valvular abnormalities are common as well [19].
Hemodynamics
Patients with acute HF show a wide range of hemodynamic abnormalities from normal to severely abnormal filling pressure, afterload, and cardiac output. Among patients with acute HF in the Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness (ESCAPE) trial, mean pulmonary capillary wedge pressure at the time of hospitalization was 25 ± 9 mmHg while mean cardiac output was 3.8 ± 1.2 L/min [20]. After a median treatment period of 1.9 days, pulmonary capillary wedge pressure and cardiac output were improved: 17 ± 7 mmHg and 4.8 ± 2.1 L/min, respectively [20].
Neurohormonal Activation
While increased neurohormonal activation may be helpful for limited periods, the deleterious effects of excessive and prolonged activation is central to HF progression [21]. Renin Angiotensin Aldosterone System activity is increased in HF and among hospitalized patients elevated levels of renin and aldosterone activity is known [22–24]. Sympathetic nervous system alterations in acute HF including higher levels of circulating norepinephrine, which correlates with severity of cardiac dysfunction and mortality, has been reported [25–27]. Arginine vasopressin concentrations are associated with HF severity [28, 29]. However, arginine vasopressin is difficult to measure. Copeptin, the C-terminal segment of pre-pro-vasopressin, is a stable and reliable surrogate for vasopressin concentrations [30]. It has been associated with increased 90-day mortality and readmissions post discharge [31•]. Endothelin-1 has vasoconstriction and sodium retention properties and is elevated in hospitalized patients [32–34]. Adrenomedullin is a peptide hormone with hypotensive, natriuretic, and inotropic effects. It is elevated in hospitalized patients and has been shown to predict 30-day mortality [35].
Myocyte Damage
Multiple studies have now examined the prevalence of cardiac troponin (cTn) elevation in HF [36]. Elevation of cTn levels is more marked in patients with advanced HF and during admission [37–39]. In the ADHERE registry, 75% of hospitalized patients had detectable troponin levels [40]; and was associated with in-hospital mortality risk.
Inflammation
Inflammation is of pathophysiologic and prognostic significance in acute HF patients. Tumor necrosis factor is associated with cardiac structural and functional alterations, including fibrosis, remodeling, and apoptosis [41]. Its levels are elevated in HF, and correlate with severity of cardiac impairment and mortality [42, 43]. C-reactive protein levels rise during hospitalization and decrease as the signs and symptoms improve [44]. Interleukins are mediators of HF pathogenesis. Interleukin-1 depresses myocardial contractility, inhibits myocyte responsiveness to β-adrenergic stimulation, and promotes apoptosis [45]. Interleukin-6 levels are high during hospitalization and decrease after resolution of symptoms [46, 44, 47–52]. ST-2 receptor gene encodes a protein that is a member of the interleukin-1 receptor family and consists of both a trans-membrane receptor form and a truncated, soluble receptor form that can be detected in serum [53]. ST2 concentration during hospitalization correlates with disease severity, myocardial stretch, and inflammation and is associated with prognosis [54].
Oxidative Stress
During hospitalization for HF, excess reactive oxygen species react with nitric oxide (NO), disrupting physiologic signaling and leading to production of toxic and reactive molecules, notably peroxynitrite [55]. Urine isoprostane and plasma aminothiols [56, 57] are increased during hospitalization [58], unfavorably shifting the nitroso-redox balance and the ventricular and vascular effects of NO. Myeloperoxidase is released from activated neutrophils and monocytes as part of the inflammatory process [59] in response to oxidative stress [60]. Myeloperoxidase contributes to vascular inflammation by depletion of vascular NO, which contributes to endothelial dysfunction [61, 62]. Myeloperoxidase levels are increased in both hospitalized and in chronic HF patients [62–64]. Uric Acid is a product of xanthine oxidase. Apoptosis and tissue hypoxia lead to increased purine catabolism that in turn increases xanthine oxidase activity and subsequently serum uric acid levels. In patients hospitalized for HF, hyperuricemia is a long-term prognostic marker for death or readmission [65].
Extracellular Matrix Regulation
The dynamic fluidity of the extracellular matrix is maintained by two families of molecules; the matrix metalloproteinases (MMPs) that degrade fibrillar collagens, and the tissue inhibitors of metalloproteinases (TIMPs) [66, 67]. In the heart, the collagenase (MMP-1) degrades structural collagens, the gelatinases (MMP 2 and 9) degrade basement-membrane components and gelatins, and the stromelysins (MMP 3 and 10) have broad substrate specificity [67, 68]. In patients hospitalized for HF, levels of MMPs are increased, however levels of MMP-2 decrease rapidly with treatment [69•]. Patients with more rapid decreases in MMP-2 levels have better outcomes [69, 70]. Galectin-3, a β-galactoside–binding lectin produced by macrophages plays an important role in fibroblast activation and fibrosis [71]. Its expression occurs early in the progression of HF [71]. Galectin-3 is a useful marker for evaluation of patients hospitalized for HF [72] and predicts mortality [73•].
Natriuretic Peptides
B-type natriuretic peptide (BNP) is synthesized in ventricular myocardium and released in response to ventricular dilatation and pressure overload [74, 75]. BNP is derived from an intracellular 108-amino-acid precursor that is cleaved into 2 fragments, yielding a 76 amino acid N-terminal fragment (NT-proBNP) and 32 amino acid BNP [74]. Levels of natriuretic peptides are elevated in acute HF, correlate with functional class, and are independent predictors of prognosis [76]. Baseline and change in natriuretic peptides over time have prognostic usefulness [27, 77]. In the ADHERE registry, median BNP levels in patients admitted with HF was 840 pg/ml [78].
Renal Function
Abnormalities in renal function are common and associated with outcomes in hospitalized HF patients. The clearance of blood urea nitrogen is determined by the glomerular filtration rate and tubular reabsorption of urea. Neurohormonal activation leads to increased tubular urea reabsorption and decreases in the glomerular filtration rate [79, 80]. Several studies have shown that elevated blood urea nitrogen is associated with adverse outcomes during hospitalization [81–84]. HF registries have reported lower creatinine levels in chronic HF (1.4±2.2 mg/dl) than during hospitalization (1.8±1.6 mg/dl) [85, 6, 9] Dynamic worsening creatinine is associated with adverse outcomes also [86]. Cystatin C is a cysteine protease inhibitor that is unaffected by age, sex, or muscle mass and is more sensitive to mild decreases in glomerular filtration rate. Higher cystatin C levels are associated with increased mortality in hospitalized HF [87•]. Neutrophil gelatinase–associated lipocalin is a glycoprotein released by tubular cells during inflammation or injury and its levels are elevated in HF and correlate with functional class [88]. In patients hospitalized for HF, elevated neutrophil gelatinase–associated lipocalin levels are predictive of worsening renal function [89•]. Kidney Injury Molecule-1 is a transmembrane glycoprotein whose expression is increased within 24–48 hours after renal injury [90]. It also predicts worse outcome during hospitalization [91].
Endothelial Dysfunction
Increasing HF severity is associated with NO imbalance and endothelial dysfunction. Decreased coronary endothelium-dependent vasodilator capacity impairs myocardial perfusion, reduces coronary flow and worsens ventricular function [92]. The dysfunctional endothelium contributes to increased vascular stiffness and impaired arterial distensibility, augmenting myocardial damage [93]. NO-dependent regulation of ventricular function and vascular tone also determines hemodynamic status during HF hospitalization. Decreased NO availability induces vasoconstriction and increased vascular stiffness in the systemic and pulmonary circulation, resulting in augmented left and right ventricular systolic workload. Decreased NO bioavailability enhances endothelin-1 induced vasoconstriction [94], increases sympathetic outflow and catecholamine release [95], and diminishes sodium excretion in the kidney [96], all of which are important in patients hospitalized for HF.
Epidemiologic Paradox
Traditional risk factors of a poor outcome in the general population, including body mass index, serum cholesterol, and blood pressure, also relate to outcomes but in the opposite direction [97, 98]. In patients hospitalized for HF, akin to chronic HF patients, mortality decreases in a near-linear fashion across higher body mass index quartiles. Similarly, hypercholesterolemia and higher blood pressure are associated with greater survival among patients hospitalized for HF [99, 100]. These findings are in contrast to the well-known associations of over-nutrition, hypercholesterolemia, and hypertension with a poor outcome in the general population [97].
CONCLUSION
To date, many pathophysiologic mechanisms have been described in patients with acute HF. However, what is missing is a clear understanding of (a) how do these abnormalities get exacerbated in chronic HF leading to decompensation; (b) how they are inter-related; (c) what is the sequence of changes in these pathophysiologic mechanisms; (d) how can we define the various sub-populations of acute HF patients based on these mechanisms; and (e) most importantly, how this information can guide development of personalized therapies for patients with acute HF. Further research is needed to take this information from descriptive associations to impact novel therapy development in order to improve outcomes of these patients.
Acknowledgments
Funding Source: This study was supported in part by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR000454. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
Conflict of Interest
Catherine N. Marti, Vasiliki V. Georgiopoulou, and Andreas P. Kalogeropoulos declare that they have no conflict of interest.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
References
Papers of particular interest, published recently, have been highlighted as:
• Of importance
•• Of major importance
- 1.Lloyd-Jones D, Adams RJ, Brown TM, et al. Heart disease and stroke statistics—2010 update: a report from the American Heart Association. Circulation. 2010;121:e46–e215. doi: 10.1161/CIRCULATIONAHA.109.192667. [DOI] [PubMed] [Google Scholar]
- 2•.Gheorghiade M, Pang PS, O’Connor CM, et al. Clinical development of pharmacologic agents for acute heart failure syndromes: a proposal for a mechanistic translational phase. Am Heart J. 2011;161:224–32. doi: 10.1016/j.ahj.2010.10.023. This is a well written review summarizing the methods of pharmacologic development in acute heart failure. The authors describe the need for a T1 or translational phase of research for acute heart failure syndrome clinical development in order to move toward greater success in acute heart failure clinical trials. [DOI] [PubMed] [Google Scholar]
- 3.Gheorghiade M, Zannad F, Sopko G, et al. Acute heart failure syndromes: current state and framework for future research. Circulation. 2005;112:3958–68. doi: 10.1161/CIRCULATIONAHA.105.590091. [DOI] [PubMed] [Google Scholar]
- 4.Fonarow GC, Abraham WT, Albert NM, et al. Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF): rationale and design. Am Heart J. 2004;148:43–51. doi: 10.1016/j.ahj.2004.03.004. [DOI] [PubMed] [Google Scholar]
- 5.Hunt SA, Abraham WT, Chin MH, et al. 2009 focused update incorporated into the ACC/AHA 2005 Guidelines for the Diagnosis and Management of Heart Failure in Adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines: developed in collaboration with the International Society for Heart and Lung Transplantation. Circulation. 2009;119:e391–479. doi: 10.1161/CIRCULATIONAHA.109.192065. [DOI] [PubMed] [Google Scholar]
- 6.Adams KF, Jr, Fonarow GC, Emerman CL, et al. Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE) Am Heart J. 2005;149:209–16. doi: 10.1016/j.ahj.2004.08.005. [DOI] [PubMed] [Google Scholar]
- 7.Abraham WT, Fonarow GC, Albert NM, et al. Predictors of in-hospital mortality in patients hospitalized for heart failure: insights from the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure (OPTIMIZE-HF) J Am Coll Cardiol. 2008;52:347–56. doi: 10.1016/j.jacc.2008.04.028. [DOI] [PubMed] [Google Scholar]
- 8••.O’Connor CM, Starling RC, Hernandez AF, et al. Effect of nesiritide in patients with acute decompensated heart failure. N Engl J Med. 2011;365:32–43. doi: 10.1056/NEJMoa1100171. This is an important trial in acute heart failure. Nesiritide was not associated with an increase or a decrease in the rate of death and rehospitalization and had a small, nonsignificant effect on dyspnea when used in combination with other therapies. On the basis of these results, nesiritide cannot be recommended for routine use in the broad population of patients with acute heart failure. [DOI] [PubMed] [Google Scholar]
- 9.Fonarow GC, Stough WG, Abraham WT, et al. Characteristics, treatments, and outcomes of patients with preserved systolic function hospitalized for heart failure: a report from the OPTIMIZE-HF Registry. J Am Coll Cardiol. 2007;50:768–77. doi: 10.1016/j.jacc.2007.04.064. [DOI] [PubMed] [Google Scholar]
- 10.Fonarow GC. The Acute Decompensated Heart Failure National Registry (ADHERE): opportunities to improve care of patients hospitalized with acute decompensated heart failure. Rev Cardiovasc Med. 2003;4(Suppl 7):S21–30. [PubMed] [Google Scholar]
- 11.Kamath SA, Drazner MH, Wynne J, Fonarow GC, Yancy CW. Characteristics and outcomes in African American patients with decompensated heart failure. Arch Intern Med. 2008;168:1152–8. doi: 10.1001/archinte.168.11.1152. [DOI] [PubMed] [Google Scholar]
- 12.Solomon SD, Anavekar N, Skali H, et al. Influence of ejection fraction on cardiovascular outcomes in a broad spectrum of heart failure patients. Circulation. 2005;112:3738–44. doi: 10.1161/CIRCULATIONAHA.105.561423. [DOI] [PubMed] [Google Scholar]
- 13.Tribouilloy C, Rusinaru D, Leborgne L, et al. In-hospital mortality and prognostic factors in patients admitted for new-onset heart failure with preserved or reduced ejection fraction: a prospective observational study. Arch Cardiovasc Dis. 2008;101:226–34. doi: 10.1016/s1875-2136(08)73697-0. [DOI] [PubMed] [Google Scholar]
- 14.Verhaert D, Mullens W, Borowski A, et al. Right ventricular response to intensive medical therapy in advanced decompensated heart failure. Circ Heart Fail. 2010;3:340–6. doi: 10.1161/CIRCHEARTFAILURE.109.900134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Meyer P, Filippatos GS, Ahmed MI, et al. Effects of right ventricular ejection fraction on outcomes in chronic systolic heart failure. Circulation. 2010;121:252–8. doi: 10.1161/CIRCULATIONAHA.109.887570. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gottdiener JS, Kitzman DW, Aurigemma GP, Arnold AM, Manolio TA. Left atrial volume, geometry, and function in systolic and diastolic heart failure of persons > or =65 years of age (the cardiovascular health study) Am J Cardiol. 2006;97:83–9. doi: 10.1016/j.amjcard.2005.07.126. [DOI] [PubMed] [Google Scholar]
- 17.Rossi A, Dini FL, Faggiano P, et al. Independent prognostic value of functional mitral regurgitation in patients with heart failure. A quantitative analysis of 1256 patients with ischaemic and non-ischaemic dilated cardiomyopathy. Heart. 2011;97:1675–80. doi: 10.1136/hrt.2011.225789. [DOI] [PubMed] [Google Scholar]
- 18.Ramasubbu K, Deswal A, Chan W, Aguilar D, Bozkurt B. Echocardiographic changes during treatment of acute decompensated heart failure: insights from the ESCAPE trial. J Card Fail. 2012;18:792–8. doi: 10.1016/j.cardfail.2012.08.358. [DOI] [PubMed] [Google Scholar]
- 19.Nieminen MS, Brutsaert D, Dickstein K, et al. EuroHeart Failure Survey II (EHFS II): a survey on hospitalized acute heart failure patients: description of population. Eur Heart J. 2006;27:2725–36. doi: 10.1093/eurheartj/ehl193. [DOI] [PubMed] [Google Scholar]
- 20.Binanay C, Califf RM, Hasselblad V, et al. Evaluation study of congestive heart failure and pulmonary artery catheterization effectiveness: the ESCAPE trial. JAMA. 2005;294:1625–33. doi: 10.1001/jama.294.13.1625. [DOI] [PubMed] [Google Scholar]
- 21.Braunwald E, Bristow MR. Congestive heart failure: fifty years of progress. Circulation. 2000;102:IV14–23. doi: 10.1161/01.cir.102.suppl_4.iv-14. [DOI] [PubMed] [Google Scholar]
- 22.Aronson D, Burger AJ. Neurohormonal prediction of mortality following admission for decompensated heart failure. Am J Cardiol. 2003;91:245–8. doi: 10.1016/s0002-9149(02)03119-3. [DOI] [PubMed] [Google Scholar]
- 23.Aronson D, Burger AJ. Neurohumoral activation and ventricular arrhythmias in patients with decompensated congestive heart failure: role of endothelin. Pacing Clin Electrophysiol. 2003;26:703–10. doi: 10.1046/j.1460-9592.2003.00120.x. [DOI] [PubMed] [Google Scholar]
- 24.Milo O, Cotter G, Kaluski E, et al. Comparison of inflammatory and neurohormonal activation in cardiogenic pulmonary edema secondary to ischemic versus nonischemic causes. Am J Cardiol. 2003;92:222–6. doi: 10.1016/s0002-9149(03)00545-9. [DOI] [PubMed] [Google Scholar]
- 25.Cohn JN, Levine TB, Olivari MT, et al. Plasma norepinephrine as a guide to prognosis in patients with chronic congestive heart failure. N Engl J Med. 1984;311:819–23. doi: 10.1056/NEJM198409273111303. [DOI] [PubMed] [Google Scholar]
- 26.Triposkiadis F, Karayannis G, Giamouzis G, Skoularigis J, Louridas G, Butler J. The sympathetic nervous system in heart failure physiology, pathophysiology, and clinical implications. J Am Coll Cardiol. 2009;54:1747–62. doi: 10.1016/j.jacc.2009.05.015. [DOI] [PubMed] [Google Scholar]
- 27.Anand IS, Fisher LD, Chiang YT, et al. Changes in brain natriuretic peptide and norepinephrine over time and mortality and morbidity in the Valsartan Heart Failure Trial (Val-HeFT) Circulation. 2003;107:1278–83. doi: 10.1161/01.cir.0000054164.99881.00. [DOI] [PubMed] [Google Scholar]
- 28.Maisel A, Mueller C, Nowak R, et al. Mid-region pro-hormone markers for diagnosis and prognosis in acute dyspnea: results from the BACH (Biomarkers in Acute Heart Failure) trial. J Am Coll Cardiol. 2010;55:2062–76. doi: 10.1016/j.jacc.2010.02.025. [DOI] [PubMed] [Google Scholar]
- 29.Goldsmith SR, Francis GS, Cowley AW, Jr, Levine TB, Cohn JN. Increased plasma arginine vasopressin levels in patients with congestive heart failure. J Am Coll Cardiol. 1983;1:1385–90. doi: 10.1016/s0735-1097(83)80040-0. [DOI] [PubMed] [Google Scholar]
- 30.Morgenthaler NG, Struck J, Alonso C, Bergmann A. Assay for the measurement of copeptin, a stable peptide derived from the precursor of vasopressin. Clin Chem. 2006;52:112–9. doi: 10.1373/clinchem.2005.060038. [DOI] [PubMed] [Google Scholar]
- 31•.Maisel A, Xue Y, Shah K, et al. Increased 90-day mortality in patients with acute heart failure with elevated copeptin: secondary results from the Biomarkers in Acute Heart Failure (BACH) study. Circ Heart Fail. 2011;4:613–20. doi: 10.1161/CIRCHEARTFAILURE.110.960096. This study showed significantly increased 90-day mortality, readmissions, and emergency department visits in patients with elevated copeptin, especially in those with hyponatremia. Copeptin was highly prognostic for 90-day adverse events in patients with acute HF, adding prognostic value to clinical predictors, serum sodium, and natriuretic peptides. [DOI] [PubMed] [Google Scholar]
- 32.Aronson D, Burger AJ. Intravenous nesiritide (human B-type natriuretic peptide) reduces plasma endothelin-1 levels in patients with decompensated congestive heart failure. Am J Cardiol. 2002;90:435–8. doi: 10.1016/s0002-9149(02)02507-9. [DOI] [PubMed] [Google Scholar]
- 33.Kiowski W, Sutsch G, Hunziker P, et al. Evidence for endothelin-1-mediated vasoconstriction in severe chronic heart failure. Lancet. 1995;346:732–6. doi: 10.1016/s0140-6736(95)91504-4. [DOI] [PubMed] [Google Scholar]
- 34.Wei CM, Lerman A, Rodeheffer RJ, et al. Endothelin in human congestive heart failure. Circulation. 1994;89:1580–6. doi: 10.1161/01.cir.89.4.1580. [DOI] [PubMed] [Google Scholar]
- 35.Potocki M, Breidthardt T, Reichlin T, et al. Midregional pro-adrenomedullin in addition to b-type natriuretic peptides in the risk stratification of patients with acute dyspnea: an observational study. Crit Care. 2009;13:R122. doi: 10.1186/cc7975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Missov E, Mair J. A novel biochemical approach to congestive heart failure: cardiac troponin T. Am Heart J. 1999;138:95–9. doi: 10.1016/s0002-8703(99)70252-8. [DOI] [PubMed] [Google Scholar]
- 37.Metra M, Nodari S, Parrinello G, et al. The role of plasma biomarkers in acute heart failure. Serial changes and independent prognostic value of NT-proBNP and cardiac troponin-T. Eur J Heart Fail. 2007;9:776–86. doi: 10.1016/j.ejheart.2007.05.007. [DOI] [PubMed] [Google Scholar]
- 38.Gheorghiade M, Gattis Stough W, Adams KF, Jr, Jaffe AS, Hasselblad V, O’Connor CM. The Pilot Randomized Study of Nesiritide Versus Dobutamine in Heart Failure (PRESERVD-HF) Am J Cardiol. 2005;96:18G–25G. doi: 10.1016/j.amjcard.2005.07.017. [DOI] [PubMed] [Google Scholar]
- 39.Horwich TB, Patel J, MacLellan WR, Fonarow GC. Cardiac troponin I is associated with impaired hemodynamics, progressive left ventricular dysfunction, and increased mortality rates in advanced heart failure. Circulation. 2003;108:833–8. doi: 10.1161/01.CIR.0000084543.79097.34. [DOI] [PubMed] [Google Scholar]
- 40.Peacock WFt, De Marco T, Fonarow GC, et al. Cardiac troponin and outcome in acute heart failure. N Engl J Med. 2008;358:2117–26. doi: 10.1056/NEJMoa0706824. [DOI] [PubMed] [Google Scholar]
- 41.Bradham WS, Bozkurt B, Gunasinghe H, Mann D, Spinale FG. Tumor necrosis factor-alpha and myocardial remodeling in progression of heart failure: a current perspective. Cardiovasc Res. 2002;53:822–30. doi: 10.1016/s0008-6363(01)00503-x. [DOI] [PubMed] [Google Scholar]
- 42.Torre-Amione G, Kapadia S, Benedict C, Oral H, Young JB, Mann DL. Proinflammatory cytokine levels in patients with depressed left ventricular ejection fraction: a report from the Studies of Left Ventricular Dysfunction (SOLVD) J Am Coll Cardiol. 1996;27:1201–6. doi: 10.1016/0735-1097(95)00589-7. [DOI] [PubMed] [Google Scholar]
- 43.Levine B, Kalman J, Mayer L, Fillit HM, Packer M. Elevated circulating levels of tumor necrosis factor in severe chronic heart failure. N Engl J Med. 1990;323:236–41. doi: 10.1056/NEJM199007263230405. [DOI] [PubMed] [Google Scholar]
- 44.Sato Y, Takatsu Y, Kataoka K, et al. Serial circulating concentrations of C-reactive protein, interleukin (IL)-4, and IL-6 in patients with acute left heart decompensation. Clin Cardiol. 1999;22:811–3. doi: 10.1002/clc.4960221211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Francis SE, Holden H, Holt CM, Duff GW. Interleukin-1 in myocardium and coronary arteries of patients with dilated cardiomyopathy. J Mol Cell Cardiol. 1998;30:215–23. doi: 10.1006/jmcc.1997.0592. [DOI] [PubMed] [Google Scholar]
- 46.Mohler ER, 3rd, Sorensen LC, Ghali JK, et al. Role of cytokines in the mechanism of action of amlodipine: the PRAISE Heart Failure Trial. Prospective Randomized Amlodipine Survival Evaluation. J Am Coll Cardiol. 1997;30:35–41. doi: 10.1016/s0735-1097(97)00145-9. [DOI] [PubMed] [Google Scholar]
- 47.Tsutamoto T, Hisanaga T, Wada A, et al. Interleukin-6 spillover in the peripheral circulation increases with the severity of heart failure, and the high plasma level of interleukin-6 is an important prognostic predictor in patients with congestive heart failure. J Am Coll Cardiol. 1998;31:391–8. doi: 10.1016/s0735-1097(97)00494-4. [DOI] [PubMed] [Google Scholar]
- 48.Aukrust P, Ueland T, Lien E, et al. Cytokine network in congestive heart failure secondary to ischemic or idiopathic dilated cardiomyopathy. Am J Cardiol. 1999;83:376–82. doi: 10.1016/s0002-9149(98)00872-8. [DOI] [PubMed] [Google Scholar]
- 49.Peschel T, Schonauer M, Thiele H, Anker SD, Schuler G, Niebauer J. Invasive assessment of bacterial endotoxin and inflammatory cytokines in patients with acute heart failure. Eur J Heart Fail. 2003;5:609–14. doi: 10.1016/s1388-9842(03)00104-1. [DOI] [PubMed] [Google Scholar]
- 50.Mueller C, Laule-Kilian K, Christ A, Brunner-La Rocca HP, Perruchoud AP. Inflammation and long-term mortality in acute congestive heart failure. Am Heart J. 2006;151:845–50. doi: 10.1016/j.ahj.2005.06.046. [DOI] [PubMed] [Google Scholar]
- 51.Chin BS, Conway DS, Chung NA, Blann AD, Gibbs CR, Lip GY. Interleukin-6, tissue factor and von Willebrand factor in acute decompensated heart failure: relationship to treatment and prognosis. Blood Coagul Fibrinolysis. 2003;14:515–21. doi: 10.1097/00001721-200309000-00001. [DOI] [PubMed] [Google Scholar]
- 52.Miller AM, Liew FY. The IL-33/ST2 pathway–A new therapeutic target in cardiovascular disease. Pharmacol Ther. 2011;131:179–86. doi: 10.1016/j.pharmthera.2011.02.005. [DOI] [PubMed] [Google Scholar]
- 53.Sanada S, Hakuno D, Higgins LJ, Schreiter ER, McKenzie AN, Lee RT. IL-33 and ST2 comprise a critical biomechanically induced and cardioprotective signaling system. J Clin Invest. 2007;117:1538–49. doi: 10.1172/JCI30634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Rehman SU, Mueller T, Januzzi JL., Jr Characteristics of the novel interleukin family biomarker ST2 in patients with acute heart failure. J Am Coll Cardiol. 2008;52:1458–65. doi: 10.1016/j.jacc.2008.07.042. [DOI] [PubMed] [Google Scholar]
- 55.Berry CE, Hare JM. Xanthine oxidoreductase and cardiovascular disease: molecular mechanisms and pathophysiological implications. J Physiol. 2004;555:589–606. doi: 10.1113/jphysiol.2003.055913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kadiiska MB, Gladen BC, Baird DD, et al. Biomarkers of oxidative stress study II: are oxidation products of lipids, proteins, and DNA markers of CCl4 poisoning? Free Radic Biol Med. 2005;38:698–710. doi: 10.1016/j.freeradbiomed.2004.09.017. [DOI] [PubMed] [Google Scholar]
- 57.Kadiiska MB, Gladen BC, Baird DD, et al. Biomarkers of oxidative stress study III. Effects of the nonsteroidal anti-inflammatory agents indomethacin and meclofenamic acid on measurements of oxidative products of lipids in CCl4 poisoning. Free Radic Biol Med. 2005;38:711–8. doi: 10.1016/j.freeradbiomed.2004.10.024. [DOI] [PubMed] [Google Scholar]
- 58.Ungvari Z, Gupte SA, Recchia FA, Batkai S, Pacher P. Role of oxidative-nitrosative stress and downstream pathways in various forms of cardiomyopathy and heart failure. Curr Vasc Pharmacol. 2005;3:221–9. doi: 10.2174/1570161054368607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Nicholls SJ, Hazen SL. Myeloperoxidase and cardiovascular disease. Arterioscler Thromb Vasc Biol. 2005;25:1102–11. doi: 10.1161/01.ATV.0000163262.83456.6d. [DOI] [PubMed] [Google Scholar]
- 60.La Rocca G, Di Stefano A, Eleuteri E, et al. Oxidative stress induces myeloperoxidase expression in endocardial endothelial cells from patients with chronic heart failure. Basic Res Cardiol. 2009;104:307–20. doi: 10.1007/s00395-008-0761-9. [DOI] [PubMed] [Google Scholar]
- 61.Brennan ML, Hazen SL. Emerging role of myeloperoxidase and oxidant stress markers in cardiovascular risk assessment. Curr Opin Lipidol. 2003;14:353–9. doi: 10.1097/00041433-200308000-00003. [DOI] [PubMed] [Google Scholar]
- 62.Eiserich JP, Baldus S, Brennan ML, et al. Myeloperoxidase, a leukocyte-derived vascular NO oxidase. Science. 2002;296:2391–4. doi: 10.1126/science.1106830. [DOI] [PubMed] [Google Scholar]
- 63.Michowitz Y, Kisil S, Guzner-Gur H, et al. Usefulness of serum myeloperoxidase in prediction of mortality in patients with severe heart failure. Isr Med Assoc J. 2008;10:884–8. [PubMed] [Google Scholar]
- 64.Tang WH, Tong W, Troughton RW, et al. Prognostic value and echocardiographic determinants of plasma myeloperoxidase levels in chronic heart failure. J Am Coll Cardiol. 2007;49:2364–70. doi: 10.1016/j.jacc.2007.02.053. [DOI] [PubMed] [Google Scholar]
- 65.Pascual-Figal DA, Hurtado-Martinez JA, Redondo B, Antolinos MJ, Ruiperez JA, Valdes M. Hyperuricaemia and long-term outcome after hospital discharge in acute heart failure patients. Eur J Heart Fail. 2007;9:518–24. doi: 10.1016/j.ejheart.2006.09.001. [DOI] [PubMed] [Google Scholar]
- 66.Spinale FG, Coker ML, Bond BR, Zellner JL. Myocardial matrix degradation and metalloproteinase activation in the failing heart: a potential therapeutic target. Cardiovasc Res. 2000;46:225–38. doi: 10.1016/s0008-6363(99)00431-9. [DOI] [PubMed] [Google Scholar]
- 67.Li YY, McTiernan CF, Feldman AM. Interplay of matrix metalloproteinases, tissue inhibitors of metalloproteinases and their regulators in cardiac matrix remodeling. Cardiovasc Res. 2000;46:214–24. doi: 10.1016/s0008-6363(00)00003-1. [DOI] [PubMed] [Google Scholar]
- 68.Dollery CM, McEwan JR, Henney AM. Matrix metalloproteinases and cardiovascular disease. Circ Res. 1995;77:863–8. doi: 10.1161/01.res.77.5.863. [DOI] [PubMed] [Google Scholar]
- 69•.Shirakabe A, Asai K, Hata N, et al. Clinical significance of matrix metalloproteinase (MMP)-2 in patients with acute heart failure. Int Heart J. 2010;51:404–10. doi: 10.1536/ihj.51.404. Serum levels of matrix metalloproteinases-2 decrease with improvements in acute heart failure. Rapid decreases in matrix metalloproteinases-2 may be important for a better clinical outcome in patients with acute heart failure. [DOI] [PubMed] [Google Scholar]
- 70.Tziakas DN, Chalikias GK, Hatzinikolaou HI, et al. Levosimendan use reduces matrix metalloproteinase-2 in patients with decompensated heart failure. Cardiovasc Drugs Ther. 2005;19:399–402. doi: 10.1007/s10557-005-5417-5. [DOI] [PubMed] [Google Scholar]
- 71.Sharma UC, Pokharel S, van Brakel TJ, et al. Galectin-3 marks activated macrophages in failure-prone hypertrophied hearts and contributes to cardiac dysfunction. Circulation. 2004;110:3121–8. doi: 10.1161/01.CIR.0000147181.65298.4D. [DOI] [PubMed] [Google Scholar]
- 72.van Kimmenade RR, Januzzi JL, Jr, Ellinor PT, et al. Utility of amino-terminal pro-brain natriuretic peptide, galectin-3, and apelin for the evaluation of patients with acute heart failure. J Am Coll Cardiol. 2006;48:1217–24. doi: 10.1016/j.jacc.2006.03.061. [DOI] [PubMed] [Google Scholar]
- 73•.Shah RV, Chen-Tournoux AA, Picard MH, van Kimmenade RR, Januzzi JL. Galectin-3, cardiac structure and function, and long-term mortality in patients with acutely decompensated heart failure. Eur J Heart Fail. 2010;12:826–32. doi: 10.1093/eurjhf/hfq091. In patients with acute decompensated heart failure, a single admission galectin-3 level predicts 4-year mortality, independent of echocardiographic markers of disease severity. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Levin ER, Gardner DG, Samson WK. Natriuretic peptides. N Engl J Med. 1998;339:321–8. doi: 10.1056/NEJM199807303390507. [DOI] [PubMed] [Google Scholar]
- 75.Bruneau BG, Piazza LA, de Bold AJ. BNP gene expression is specifically modulated by stretch and ET-1 in a new model of isolated rat atria. Am J Physiol. 1997;273:H2678–86. doi: 10.1152/ajpheart.1997.273.6.H2678. [DOI] [PubMed] [Google Scholar]
- 76.Cowie MR, Jourdain P, Maisel A, et al. Clinical applications of B-type natriuretic peptide (BNP) testing. Eur Heart J. 2003;24:1710–8. doi: 10.1016/s0195-668x(03)00476-7. [DOI] [PubMed] [Google Scholar]
- 77.Bettencourt P, Azevedo A, Pimenta J, Frioes F, Ferreira S, Ferreira A. N-terminal-pro-brain natriuretic peptide predicts outcome after hospital discharge in heart failure patients. Circulation. 2004;110:2168–74. doi: 10.1161/01.CIR.0000144310.04433.BE. [DOI] [PubMed] [Google Scholar]
- 78.Fonarow GC, Peacock WF, Horwich TB, et al. Usefulness of B-type natriuretic peptide and cardiac troponin levels to predict in-hospital mortality from ADHERE. Am J Cardiol. 2008;101:231–7. doi: 10.1016/j.amjcard.2007.07.066. [DOI] [PubMed] [Google Scholar]
- 79.Schrier RW. Blood urea nitrogen and serum creatinine: not married in heart failure. Circ Heart Fail. 2008;1:2–5. doi: 10.1161/CIRCHEARTFAILURE.108.770834. [DOI] [PubMed] [Google Scholar]
- 80.Kazory A. Emergence of blood urea nitrogen as a biomarker of neurohormonal activation in heart failure. Am J Cardiol. 2010;106:694–700. doi: 10.1016/j.amjcard.2010.04.024. [DOI] [PubMed] [Google Scholar]
- 81.Lee DS, Austin PC, Rouleau JL, Liu PP, Naimark D, Tu JV. Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model. JAMA. 2003;290:2581–7. doi: 10.1001/jama.290.19.2581. [DOI] [PubMed] [Google Scholar]
- 82.Fonarow GC, Adams KF, Jr, Abraham WT, Yancy CW, Boscardin WJ. Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis. JAMA. 2005;293:572–80. doi: 10.1001/jama.293.5.572. [DOI] [PubMed] [Google Scholar]
- 83.Felker GM, Leimberger JD, Califf RM, et al. Risk stratification after hospitalization for decompensated heart failure. J Card Fail. 2004;10:460–6. doi: 10.1016/j.cardfail.2004.02.011. [DOI] [PubMed] [Google Scholar]
- 84.Aronson D, Mittleman MA, Burger AJ. Elevated blood urea nitrogen level as a predictor of mortality in patients admitted for decompensated heart failure. Am J Cardiol. 2004;116:466–73. doi: 10.1016/j.amjmed.2003.11.014. [DOI] [PubMed] [Google Scholar]
- 85.Fonarow GC, Yancy CW, Albert NM, et al. Heart failure care in the outpatient cardiology practice setting: findings from IMPROVE HF. Circ Heart Fail. 2008;1:98–106. doi: 10.1161/CIRCHEARTFAILURE.108.772228. [DOI] [PubMed] [Google Scholar]
- 86.Klein L, Massie BM, Leimberger JD, et al. Admission or changes in renal function during hospitalization for worsening heart failure predict postdischarge survival: results from the Outcomes of a Prospective Trial of Intravenous Milrinone for Exacerbations of Chronic Heart Failure (OPTIME-CHF) Circ Heart Fail. 2008;1:25–33. doi: 10.1161/CIRCHEARTFAILURE.107.746933. [DOI] [PubMed] [Google Scholar]
- 87•.Manzano-Fernandez S, Januzzi JL, Jr, Boronat-Garcia M, et al. beta-trace protein and cystatin C as predictors of long-term outcomes in patients with acute heart failure. J Am Coll Cardiol. 2011;57:849–58. doi: 10.1016/j.jacc.2010.08.644. Among patients hospitalized with acute heart failure, beta-trace protein and cystatin C predict risk of death and/or heart failure hospitalization and are superior to standard measures of renal function for this indication. [DOI] [PubMed] [Google Scholar]
- 88.Yndestad A, Landro L, Ueland T, et al. Increased systemic and myocardial expression of neutrophil gelatinase-associated lipocalin in clinical and experimental heart failure. Eur Heart J. 2009;30:1229–36. doi: 10.1093/eurheartj/ehp088. [DOI] [PubMed] [Google Scholar]
- 89•.Aghel A, Shrestha K, Mullens W, Borowski A, Tang WH. Serum neutrophil gelatinase-associated lipocalin (NGAL) in predicting worsening renal function in acute decompensated heart failure. J Card Fail. 2010;16:49–54. doi: 10.1016/j.cardfail.2009.07.003. Elevated serum levels of neutrophil gelatinase-associated lipocalin at admission are associated with heightened risk of worsening renal function in patients admitted with acute heart failure. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Bonventre JV, Yang L. Kidney injury molecule-1. Curr Opin Crit Care. 2010 doi: 10.1097/MCC.0b013e32834008d3. [DOI] [PubMed] [Google Scholar]
- 91.Damman K, Van Veldhuisen DJ, Navis G, et al. Tubular damage in chronic systolic heart failure is associated with reduced survival independent of glomerular filtration rate. Heart. 2010;96:1297–302. doi: 10.1136/hrt.2010.194878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Bauersachs J, Widder JD. Endothelial dysfunction in heart failure. Pharmacol Rep. 2008;60:119–26. [PubMed] [Google Scholar]
- 93.Massion PB, Feron O, Dessy C, Balligand JL. Nitric oxide and cardiac function: ten years after, and continuing. Circ Res. 2003;93:388–98. doi: 10.1161/01.RES.0000088351.58510.21. [DOI] [PubMed] [Google Scholar]
- 94.Sartori C, Allemann Y, Scherrer U. Pathogenesis of pulmonary edema: learning from high-altitude pulmonary edema. Respir Physiol Neurobiol. 2007;159:338–49. doi: 10.1016/j.resp.2007.04.006. [DOI] [PubMed] [Google Scholar]
- 95.Sartori C, Lepori M, Scherrer U. Interaction between nitric oxide and the cholinergic and sympathetic nervous system in cardiovascular control in humans. Pharmacol Ther. 2005;106:209–20. doi: 10.1016/j.pharmthera.2004.11.009. [DOI] [PubMed] [Google Scholar]
- 96.Bech JN, Nielsen CB, Ivarsen P, Jensen KT, Pedersen EB. Dietary sodium affects systemic and renal hemodynamic response to NO inhibition in healthy humans. Am J Physiol. 1998;274:F914–23. doi: 10.1152/ajprenal.1998.274.5.F914. [DOI] [PubMed] [Google Scholar]
- 97.Kalantar-Zadeh K, Block G, Horwich T, Fonarow GC. Reverse epidemiology of conventional cardiovascular risk factors in patients with chronic heart failure. J Am Coll Cardiol. 2004;43:1439–44. doi: 10.1016/j.jacc.2003.11.039. [DOI] [PubMed] [Google Scholar]
- 98.Guder G, Frantz S, Bauersachs J, et al. Reverse epidemiology in systolic and nonsystolic heart failure: cumulative prognostic benefit of classical cardiovascular risk factors. Circ Heart Fail. 2009;2:563–71. doi: 10.1161/CIRCHEARTFAILURE.108.825059. [DOI] [PubMed] [Google Scholar]
- 99.Horwich TB, Hernandez AF, Dai D, Yancy CW, Fonarow GC. Cholesterol levels and in-hospital mortality in patients with acute decompensated heart failure. Am Heart J. 2008;156:1170–6. doi: 10.1016/j.ahj.2008.07.004. [DOI] [PubMed] [Google Scholar]
- 100.Gheorghiade M, Abraham WT, Albert NM, et al. Systolic blood pressure at admission, clinical characteristics, and outcomes in patients hospitalized with acute heart failure. JAMA. 2006;296:2217–26. doi: 10.1001/jama.296.18.2217. [DOI] [PubMed] [Google Scholar]
