Abstract
Introduction
Despite advances in pharmacotherapy, electrotherapy and interventional treatment, chronic heart failure (HF) is still associated with poor long-term outcome.
Aim of the study
To determine the death rate and risk factors in patients with HF of ischemic and non-ischemic etiology in five-year follow-up.
Material and methods
Consecutive patients with chronic systolic HF hospitalized in the period 2006-2008 were analyzed retrospectively. Study exclusion criteria were: infections (< 3 months before hospitalization), hemodynamically significant valve disease, advanced chronic kidney disease, liver cirrhosis and neoplastic diseases (< 5 years before hospitalization).
Results
The analysis encompassed 266 patients divided into two groups: Group A, with HF of ischemic etiology (n = 157), and Group B, with HF of non-ischemic etiology (n = 109). Mortality was significantly higher in Group A than in Group B (49% vs. 28.4%, p = 0.001). The independent risk factors for death in Group A were: New York Heart Association (NYHA) class (HR = 1.81; p < 0.001); concentrations of high-sensitivity C-reactive protein (hs-CRP) (HR = 1.01; p < 0.05), fibrinogen (HR = 1.04; p < 0.001) and N-terminal prohormone brain natriuretic peptide (NT-proBNP) (HR = 1.02; p < 0.001); and right ventricular end-diastolic diameter (RVEDd) (HR = 1.07; p < 0.01). In Group B they were age (HR = 1.07; p < 0.05) and NT-proBNP concentration (HR = 1.03; p < 0.001).
Conclusions
Mortality was significantly lower in Group B than in Group A. The independent risk factors for death in Group B were age and NT-proBNP serum concentration, whilst in Group A they were NYHA class, serum concentrations of hs-CRP, NT-proBNP and fibrinogen, and RVEDd.
Keywords: prognostic factors, chronic systolic heart failure
Abstract
Wstęp
Mimo postępów w leczeniu farmakologicznym, interwencyjnym i elektroterapii przewlekła niewydolność serca (NS) nadal wiąże się z niekorzystnym rokowaniem odległym.
Cel pracy
Określenie częstości występowania zgonów i czynników ryzyka u chorych z NS o etiologii niedokrwiennej i nieniedokrwiennej w okresie 5-letniej obserwacji.
Materiał i metody
Retrospektywnej analizie poddano kolejnych chorych z przewlekłą skurczową NS hospitalizowanych w latach 2006–2008. Kryteriami wyłączenia były: infekcje (do 3 miesięcy przed hospitalizacją), obecność istotnej wady zastawkowej, marskość wątroby, zaawansowana przewlekła choroba nerek oraz choroba nowotworowa (w okresie 5 lat przed włączeniem do badania).
Wyniki
Do analizy zakwalifikowano 266 pacjentów, których podzielono na dwie grupy: grupę A – o etiologii niedokrwiennej (n = 157), i grupę B – o etiologii nieniedokrwiennej (n = 109). Częstość występowania zgonów była istotnie wyższa w grupie A niż w grupie B (49% vs. 28,4%, p = 0,001). Analiza wieloczynnikowa wykazała, że niezależnymi czynnikami zwiększającymi ryzyko zgonu w grupie A były: klasa NYHA (HR 1,81; p < 0,001), stężenie w surowicy wysokoczułego białka C-reaktywnego (hs-CRP) (HR 1,01; p < 0,05), fibrynogenu (HR 1,04; p < 0,001), N-końcowego fragmentu propeptydu natriuretycznego typu B (NT-proBNP) (HR 1,02; p < 0,001) oraz wymiar końcoworozkurczowy prawej komory (RVEDd) (HR 1,07; p < 0,01), a w grupie B wiek (HR 1,07; p < 0,05) i stężenie NT-proBNP (HR 1,03; p < 0,001).
Wnioski
Częstość występowania zgonów była istotnie niższa w grupie B w porównaniu z grupą A. Niezależnymi czynnikami ryzyka zgonu w grupie B okazały się: wiek i stężenie w surowicy NT-proBNP, natomiast w grupie A: klasa NYHA, stężenie hs-CRP, NT-proBNP, fibrynogenu oraz RVEDd.
Introduction
Despite advances in pharmacotherapy, electrotherapy and interventional treatment, chronic heart failure (HF) is still associated with poor outcome. According to population studies, the five-year mortality in symptomatic HF is approximately 60% [1]. The ageing of societies, combined with the civilizational development, is conducive to the occurrence of coronary disease, hypertension, arrhythmia, heart valve disease, obesity and depression, all of which increase the risk of HF [2–4]. The prevalence of HF in the general population is 2-3%, whilst in individuals aged 70-80, it increases to 10-20% [5]. It is estimated that one in five 40-year-olds, regardless of their gender, will at some stage of their life suffer from symptomatic HF [5]. The disease is becoming an increasingly serious social and economic problem.
Aim of the study
The aim of the work was to determine the risk factors for a five-year death in patients with HF of ischemic and non-ischemic etiology.
Material and methods
The clinical data of 328 consecutive patients with chronic systolic HF hospitalized at the Clinical Cardiology Center in the period 2006-2008 were analyzed retrospectively. Included in the study were patients with chronic systolic HF (left ventricular ejection fraction LVEF < 40%) diagnosed at least 6 months before hospital admission. Study exclusion criteria were: infectious diseases in the previous three months, hemodynamically significant valve disease, liver cirrhosis, advanced chronic kidney disease (eGFR < 30 ml/min/1.73 m2), and neoplastic disease.
Data regarding patient history, physical examination, laboratory results, resting electrocardiography, echocardiography and coronary angiography were available for all patients.
The biochemical diagnostics were carried out with the Cobas Integra analyzer (Roche). The concentrations of hs-CRP (mg/l) were measured by latex-enhanced immunoturbidimetric assay with a 552 nm wavelength (Cobas Integra 800; Roche). NT-proBNP concentrations (pg/ml) were measured by immunochemiluminescence with reagents by ROCHE DIAGNOSTICS (Elecsys 2010, Roche). The estimated glomerular filtration rate (eGFR) was calculated with the MDRD equation. Data concerning long-term follow-up were obtained from the medical documentation of the Cardiology Out-patient Clinic and by telephone contact with the patients or their families.
The endpoint was death from any cause. Sudden cardiac death was defined as death caused by an unexpected circulatory arrest, taking place within one hour of the onset of symptoms. The remaining causes of death were determined by a postmortem examination. The cause of death was classified as unspecified if no sudden cardiac death occurred and no postmortem was carried out.
HF of ischemic etiology was defined as the presence of at least one of the following: 1) a stenotic lesion ≥ 50% in at least one epicardial coronary artery in coronarography, 2) past myocardial infarction, 3) past percutaneous or surgical coronary artery revascularization. If none of these criteria was met, the HF etiology was classified as non-ischemic. Clinical follow-up started on admission and lasted five years.
Statistical analysis
The data were collated in a spreadsheet and analyzed preliminarily. The thus verified data were then moved to a statistical program for final analysis. The distribution of qualitative variables was verified with the Shapiro-Wilk test. For the comparison of data between two groups of patients the following were used:
for data with normal distribution or after normalization: Student's t-test for independent data; variance homogeneity was assessed with Levene's test,
for data with distribution other than normal: Mann-Whitney U test,
for quantitative variables: χ2 test with Yates continuity correction.
The cumulative survival curves were plotted with the Kaplan-Meier method. The significance of differences between groups was assessed with the logrank test. Data with normal distribution are shown as mean ± standard deviation (SD). Data with distribution other than normal and ordinal data are presented as median and upper and lower quartiles. Qualitative data are shown as percentages. The multiple factor model was based on Cox regression analysis. The best subset of independent variables was identified with the backward stepwise method. The results are presented as hazard ratio (HR) with a 95% confidence interval and the level of significance. P < 0.05 was considered statistically significant. All data were analyzed using the STATISTICA software (Data Analysis Software System), version 10.0 by StatSoft Inc.
Results
Between January 2006 and February 2008, 328 patients with chronic HF were hospitalized at the Clinical Cardiology Center. Based on the study inclusion and exclusion criteria, 282 patients were qualified for the study, though in 16 cases the long-term follow-up data were incomplete. The final five-year clinical follow-up encompassed 266 patients: 157 with HF of ischemic etiology (group A) and 109 with HF of non-ischemic etiology (group B). The basic patient characteristics by group are presented in Table I.
Tab. I.
Parameter | Group A (N = 157) |
Group B (N = 109) |
P |
---|---|---|---|
Age [years] | 57.9 ± 8.5 | 46.6 ± 11.8 | < 0.001 |
Male gender | 140 (89.2%) | 96 (88.1%) | NS |
HF duration [months] | 37 (13-64) | 24 (9-60) | 0.03 |
NYHA class | 3 (2-3) | 2 (2-3) | < 0.001 |
Diabetes | 57 (36.3%) | 12 (11.0%) | < 0.001 |
Hypertension | 92 (58.6%) | 46 (42.2%) | < 0.001 |
COPD | 18 (11.5%) | 2 (1.8%) | 0.007 |
Hypercholesterolemia | 146 (93%) | 43 (39.5%) | < 0.001 |
Past MI | 123 (78.3%) | – | – |
Past PCI | 67 (42.7%) | – | – |
Past CABG | 38 (24.2%) | – | – |
Cardioverter-defibrillator | 10 (6.4%) | 2 (1.8%) | NS |
Resynchronization therapy | 3 (1.9%) | 0 (0%) | NS |
QRS duration [ms] | 120.1 ± 33.2 | 121.1 ± 31.1 | NS |
HR [1/min] | 83 (70-90) | 81 (66-90) | NS |
LVEF [%] | 23.7 ± 6.8 | 26.2 ± 7 | 0.003 |
NT-proBNP [pg/ml] | 1230 (567-2130) | 980 (434.5-2030) | NS |
eGFR [ml/min/1.73 m2] | 71.8 ± 24.7 | 93.3 ± 21.3 | < 0.001 |
Sodium [mmol/l] | 135.7 ± 4.4 | 136.8 ± 3.6 | 0.04 |
CABG – coronary artery bypass graft, HR – heart rate, LVEF – left ventricular ejection fraction, MI – myocardial infarction, NYHA – New York Heart Association, PCI – percutaneous coronary intervention, COPD – chronic obstructive pulmonary disease
Figure 1 shows the drugs used by patients during follow-up.
In the five-year follow-up, death occurred in 77 (49.0%) patients in group A and in 31 (28.4%) patients in group B. The causes of death are shown in Figure 2.
There were no significant differences between the groups with regard to the frequency of implantation of cardioverter-defibrillators (15.4% in group A and 18.9% in group B, NS) and resynchronizers (6.4% in group A and 4.7% in group B, NS) in long-term follow-up.
Figure 3 shows the Kaplan-Meier cumulative survival curve in groups A and B.
Tables II and III present selected clinical, echocardiographic and biochemical parameters in groups A and B, respectively, divided by five-year survival and death. Tables IV and V list the independent prognostic factors in both groups.
Tab. II.
Group A | Survival (N = 80) |
Death (N = 77) |
P |
---|---|---|---|
Age [years] | 56.6 ± 9.0 | 59.4 ± 8.4 | 0.04 |
HF duration [months] | 24 (12-48) | 55 (16-72) | 0.006 |
NYHA class | 2 (2-3) | 3 (3-4) | < 0.001 |
LVEF [%] | 25.9 ± 7.1 | 22.1 ± 6.2 | < 0.001 |
LA [mm] | 44.6 ± 5.7 | 48.2 ± 7.2 | < 0.001 |
RVEDd [mm] | 27.4 ± 4.4 | 30.0 ± 5.0 | < 0.001 |
hs-CRP [mg/l] | 2.56 (1.3-4.11) | 4.58 (2.01-12.1) | < 0.001 |
Fibrinogen [mg/dl] | 348.5 (324-398.5) | 456 (376-539.5) | < 0.001 |
NT-proBNP [pg/ml] | 567 (403.1-1026) | 1890 (1230-3240) | < 0.001 |
eGFR [ml/min/1.73 m2] | 80.3 ± 21.6 | 64.3 ± 25.3 | < 0.001 |
Uric acid [µmol/l] | 417.3 ± 126.0 | 471.2 ± 146.3 | 0.02 |
Bilirubin [µmol/l] | 13.4 (10.8-17.8) | 17.5 (12.95-25.5) | < 0.001 |
eGFR – estimated glomerular filtration rate, hs-CRP – high-sensitivity C-reactive protein, LA – left atrium, LVEF – left ventricular ejection fraction, NT-proBNP – N-terminal propeptide of the brain natriuretic peptide, NYHA – New York Heart Association, RVEDd – right ventricular end-diastolic diameter M-mode (diastole)
Tab. III.
Group B | Survival (N = 78) |
Death (N = 31) |
P |
---|---|---|---|
Age [years] | 44.8 ± 11.4 | 51.3 ± 11.6 | 0.02 |
HF duration [months] | 14.5 (7-42) | 48 (12-60) | 0.03 |
NYHA class | 2 (2-2) | 2.5 (2-3) | < 0.001 |
Diabetes | 3 (3.8%) | 9 (29%) | < 0.001 |
LVEF [%] | 27.8 ± 6.9 | 23.2 ± 6.7 | 0.003 |
RVEDd [mm] | 29.0 ± 4.9 | 32.5 ± 5.4 | 0.005 |
hs-CRP [mg/l] | 1.12 (0.74-2.68) | 3.08 (1.22-5.6) | 0.04 |
NT-proBNP [pg/ml] | 745.8 (395.9-1342.5) | 2067.5 (1116.5-3880.5) | < 0.001 |
eGFR [ml/min/1.73 m2] | 96.3 ± 18.5 | 84.2 ± 26.8 | 0.03 |
Uric acid [µmol/l] | 418.7 ± 112.3 | 489.5 ± 140 | 0.03 |
Bilirubin [µmol/l] | 16.6 (11.5-21.5) | 18.5 (14.3-28.8) | 0.049 |
eGFR – estimated glomerular filtration rate, hs-CRP – high-sensitivity C-reactive protein, LVEF – left ventricular ejection fraction, NT-proBNP – N-terminal propeptide of the brain natriuretic peptide, NYHA – New York Heart Association, RVEDd – right ventricular end-diastolic diameter M-mode (diastole)
Tab. IV.
Parameter | HR | ± 95% CI | P |
---|---|---|---|
NYHA class | 1.8136 | 1.2964-2.5370 | 0.0005 |
hs-CRP (per 1 mg/l) | 1.0139 | 1.0031-1.0249 | 0.0118 |
Fibrinogen (per 10 mg/dl) | 1.0382 | 1.0162-1.0606 | 0.0006 |
NT-proBNP (per 100 pg/ml) | 1.0222 | 1.0097-1.0349 | 0.0005 |
RVEDd (per 1 mm) | 1.0676 | 1.0166-1.1212 | 0.0088 |
HR – hazard ratio, hs-CRP – high-sensitivity C-reactive protein, NT-proBNP – N-terminal propeptide of the brain natriuretic peptide, NYHA – New York Heart Association, RVEDd – right ventricular end-diastolic diameter
Tab. V.
Parameter | HR | ± 95% CI | P |
---|---|---|---|
Age | 1.0680 | 1.0095-1.1300 | 0.0221 |
NT-proBNP (per 100 pg/ml) | 1.0347 | 1.0166-1.0529 | 0.0001 |
HR – hazard ratio, NT-proBNP – N-terminal propeptide of the brain natriuretic peptide
Discussion
Over the last few years, numerous prospective randomized clinical trials and epidemiological and observational studies have been conducted in the population of patients with chronic HF [1, 3, 6–8]. Most analyses, however, encompassed etiologically heterogeneous groups of patients. In our study, we analyzed five-year risk factors for death in consecutive hospitalized patients with chronic systolic HF of ischemic and non-ischemic etiology. The study showed that patients with ischemic HF were significantly older than patients with non-ischemic etiology. This observation is confirmed by large population studies, clinical studies and the POLKARD-HF register [3, 6–8].
Our study showed that concomitant diseases were significantly more frequent in patients with HF of ischemic than non-ischemic etiology. Other studies, such as the EuroHeart Failure Survey and American National Health and Nutrition Survey, also confirmed the high percentage of patients with HF and concomitant diseases [9, 10]. In the ZOPAN register, one in two HF patients suffered from at least three concomitant diseases [7].
In our study, we observed a low percentage of implantation of cardioverter-defibrillators (ICD) and resynchronizers (CRT). These data were comparable to those from large European registers of HF patients. Analyzing the data from the ESC-HF Pilot Survey 2009-2013, Maggioni et al. concluded that only one in three patients with ICD indications and one in five patients with CRT indications actually underwent device implantation [11].
Also van Veldhuisen et al., based on the analysis of patients recruited to the Eucomed register in 2004-2008, observed a significant difference between the number of patients who, according to the guidelines, qualified for high-energy device implantation and the number of actual implantations [12].
Our analysis showed that the five-year mortality in the studied population was 40.6% and was higher in patients with ischemic HF. This finding is in consonance with other studies, which showed the outcome in patients with ischemic HF to be worse than in non-ischemic HF [6, 13, 14]. This observation was also confirmed by the results of the MAGGIC meta-analysis, which demonstrated that the ischemic etiology of HF was connected with both a higher risk of death from any cause (HR 1.07) and death from cardiovascular causes (HR 1.11) [14]. Based on their analysis of 534 participants in the Framingham Heart Study, Lee et al. showed that, compared to other etiologies, ischemic HF was associated with the poorest outcome in 3.2 ± 3.6 years of follow-up (HR 1.36) [15].
However, several studies present different results. Lourenço et al. followed up 286 patients with HF of ischemic (38.1%) and non-ischemic etiology (61.9%) [16]. The authors found that in the 41-month follow-up there were no significant differences in mortality between the analyzed groups (30.0 vs. 23.2%, p = 0.258) [16]. It should be noted that no coronarography was performed in a large percentage of the studied patients and that patients with valvular HF were included in the non-ischemic HF group [16]. Korewicki et al. analyzed the mortality in patients from the POLKARD-HF register in a 601-day follow-up period [8]. In 43.2% of patients, HF was related to coronary disease. The authors observed no significant differences in the outcome in the ischemic and non-ischemic HF groups [8].
In our study, age was an independent risk factor for death in the non-ischemic HF group. In the ischemic group, the risk factors were: NYHA class, serum concentrations of hs-CRP and fibrinogen, and right ventricular end-diastolic diameter. The concentration of NT-proBNP was a risk factor in both groups.
In the study by Allen et al. conducted in a population of patients from the CHARM study, age was also an independent risk factor for death from cardiovascular causes or for hospitalization due to HF exacerbation (HR 1.32 per each 10 years over the age of 60; p < 0.0001) in a follow-up period of 38 months [17]. The independent prognostic value of age for death from any cause was confirmed by the study of Wedel et al. involving patients from the CORONA trial (HR 1.26 per each 10-year increase; p < 0.0001) [18].
These observations are confirmed by the results of Senni et al., where age was a predictor of death or urgent heart transplantation (OR 1.13; 95% CI: 1.0-1.4; p < 0.0001) [19].
An elevated NT-proBNP concentration was a risk factor in both groups. In the analysis by Cleland et al. conducted in over 5000 patients with systolic ischemic HF from the CORONA trial [20], the strongest risk factor for death was NT-proBNP concentration expressed as a logarithm. An increase of this parameter by one logarithmic unit was associated with a 1.5-fold increase in the risk of death for any cause [20].
In their analysis of almost 2000 placebo-receiving patients from the Val-HeFT trial, Masson et al. determined the prognostic value of NT-proBNP concentration in two-year follow-up (HR = 1.403 per increase by one logarithmic unit; p < 0.0001) [21]. The prognostic value of NT-proBNP concentration was also confirmed in patients with advanced HF. In the report by Korewicki et al. regarding patients from the POLKARD register, NT-proBNP concentration over 4302 pg/ml increased the risk of death or urgent heart transplantation by 1.6-fold [8]. The meta-analysis of eight randomized clinical trials showed that in patients in whom treatment intensity was conditioned by the concentration of natriuretic peptides (RR 0.76; p = 0.003), the risk of death was significantly lower than in patients treated the classical way [22].
HF is associated with a chronic inflammatory condition [23], whilst its mediators are associated with poorer outcome in HF. In our study, the inflammatory marker (hs-CRP concentration) was an independent risk factor for death in patients with ischemic HF in five-year follow-up. The study by Windram et al. conducted in a group of 957 patients with chronic systolic HF confirmed the value of hs-CRP in the prediction of death in 21 ± 10 months of follow-up [24]. Similar to our analysis, patients with infections, tumors and other diseases involving inflammation were excluded from the study [24]. Kozdağ et al. observed that serum concentration of hs-CRP was an independent risk factor for death from cardiovascular causes in 17 ± 13 months of follow-up (HR 1.1; p < 0.001). Patients with infections were not excluded from the study, a fact that may have affected the results of the analysis [25].
Although the association between fibrinogen and atherosclerotic processes has been well documented, little is known as to its role in HF. In our study, fibrinogen was an independent risk factor for death in patients with ischemic HF. The protein is known to be able to facilitate leucocyte chemotaxis, as well as to stimulate the expression of proinflammatory cytokines which affect cardiomyocyte apoptosis. Additionally, by affecting the endothelial function, it is conducive to atherosclerotic plaque formation [26]. Fibrinogen may also facilitate the creation of thrombi in microcirculation and affect the rheological properties of plasma. This may lead to microcirculatory disorders, which in turn can cause hypoperfusion and recurrent ischemic events [26, 27].
Enlarged right ventricular diameter (RVEDD) was another independent risk factor in the ischemic HF group. Although the assessment of right ventricular diameter is a standard element of the echocardiographic examination, there are few data assessing the prognostic value of this parameter in patients with HF. One of the few studies on the subject was conducted by Meluzin et al. in almost 200 patients [28] with mean left ventricular ejection fraction of 23%, followed up for 16 months. The patients who died had an increased RVEDd more frequently than the patients who completed the follow-up (32 mm vs. 36 mm, p < 0.05) [28]. In the study conducted by Chrustowicz et al., RVEDd was an independent risk factor for death from cardiovascular causes after mitral valve annuloplasty (HR 1.1; p = 0.04) [29].
Another independent prognostic risk factor in patients with ischemic HF was NYHA class. Gustafsson et al. analyzed the prognostic factors in 4012 consecutive patients hospitalized in 18 Danish clinics [30]. The mortality in 580-day follow-up was 18%, and NYHA class III and IV was an independent risk factor for death or hospitalization (HR 1.32; p < 0.0001) [30]. Higher NYHA class was associated with poorer outcome also in the previously cited reports from large clinical trials, such as CORONA, Val-HeFT and CHARM [17–20].
The strength of this study is the long follow-up period of consecutive patients from everyday clinical practice hospitalized at a center with facilities for invasive diagnostics of coronary disease. The angiographic examination of coronary arteries in all patients facilitated patient stratification by disease etiology. Its limitations are the retrospective character and the absence of postmortem documentation of the cause of death in a large percentage of cases.
Conclusions
Risk factors for death in patients with ischemic heart failure are: NYHA class; serum concentrations of fibrinogen, NT-proBNP and hs-CRP; and right ventricular enddiastolic diameter. Risk factors for death in patients with non-ischemic heart failure are age and NT-proBNP serum concentration.
Biography
Disclosure
The authors report no conflict of interest.
References
- 1.Bleumink GS, Knetsch AM, Sturkenboom MCJM, Straus SM, Hofman A, Deckers JW, Witteman JC, Stricker BH. Quantifying the heart failure epidemic: prevalence, incidence rate, lifetime risk and prognosis of heart failure. The Rotterdam Study. Eur Heart J. 2004;25:1614–1619. doi: 10.1016/j.ehj.2004.06.038. [DOI] [PubMed] [Google Scholar]
- 2.Wilczek K, Chodór P, Niklewski T, Głowacki J, Przybylski R, Streb W, Krasoń M, Nadziakiewicz P, Trzeciak P, Podolecki T, Kalarus Z, Poloński L. Ocena efektów bezpośrednich i 12-miesięcznego przeżycia po zabiegach balonowej walwuloplastyki aortalnej w krytycznej stenozie zastawki aortalnej u chorych ze schyłkową niewydolnością serca i dużym ryzykiem operacyjnej wymiany zastawki. Kardiochir Torakochir Pol. 2012;1:16–21. [Google Scholar]
- 3.Szymik M, Szygula-Jurkiewicz B, Partyka R, Spinczyk B, Chudek J, Polonski L. Three-year survival of patients with chronic systoli heart failure due to hypertension: analysis of prognostic factors. Pol Arch Med Wewn. 2012;122:543–550. doi: 10.20452/pamw.1460. [DOI] [PubMed] [Google Scholar]
- 4.Szyguła-Jurkiewicz B, Pudlo R, Samborski K, Muzyk P. Rola depresji w niewydolności serca. Kardiochir Torakochir Pol. 2012;9:502–506. [Google Scholar]
- 5.McMurray JJ, Adamopoulos S, Anker SD, Auricchio A, Böhm M, Dickstein K, Falk V, Filippatos G, Fonseca C, Gomez-Sanchez MA, Jaarsma T, Køber L, Lip GY, Maggioni AP, Parkhomenko A, Pieske BM, Popescu BA, Rønnevik PK, Rutten FH, Schwitter J, Seferovic P, Stepinska J, Trindade PT, Voors AA, Zannad F, Zeiher A ESC Committee for Practice Guidelines. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2012;33:1787–1847. doi: 10.1093/eurheartj/ehs104. [DOI] [PubMed] [Google Scholar]
- 6.Teng TH, Hung J, Knuiman M, Stewart S, Arnolda L, Jacobs I, Hobbs M, Sanfilippo F, Geelhoed E, Finn J. Trends in long-term cardiovascular mortality and morbidity in men and women with heart failure of ischemic versus non-ischemic aetiology in Western Australia between 1990 and 2005. Int J Cardiol. 2012;158:405–410. doi: 10.1016/j.ijcard.2011.01.061. [DOI] [PubMed] [Google Scholar]
- 7.Rywik TM, Kołodziej P, Targoński R, Fedyk-Łukasik M, Nowicka A, Zinka E, Zbyszyński B, Achremczyk P, Górski J, Muder A, Sadowski J, Leszek P, Kurjata P, Broda G, Korewicki J. Characteristics of the heart failure population in Poland: ZOPAN, a multicentre national programme. Kardiol Pol. 2011;69:24–31. [PubMed] [Google Scholar]
- 8.Korewicki J, Leszek P, Zieliński T, Rywik T, Piotrowski W, Kurjata P, Kozar-Kamińska K, Kodziszewska K, Polkard Hf. Severe chronic heart failure in patients considered for heart transplantation in Poland. Cardiol J. 2012;19:36–44. doi: 10.5603/cj.2012.0007. [DOI] [PubMed] [Google Scholar]
- 9.Wong CY, Chaudhry SI, Desai MM, Krumholz HM. Trends in comorbidity, disability, and polypharmacy in heart failure. Am J Med. 2011;124:136–143. doi: 10.1016/j.amjmed.2010.08.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Cleland JG, Swedberg K, Follath F, Komajda M, Cohen-Solal A, Aguilar JC, Dietz R, Gavazzi A, Hobbs R, Korewicki J, Madeira HC, Moiseyev VS, Preda I, van Gilst WH, Widimsky J, Freemantle N, Eastaugh J, Mason J Study Group on Diagnosis of the Working Group on Heart Failure of the European Society of Cardiology. The EuroHeart Failure survey programme – a survey on the quality of care among patients with heart failure in Europe. Part 1: patient characteristics and diagnosis. Eur Heart J. 2003;24:442–463. doi: 10.1016/s0195-668x(02)00823-0. [DOI] [PubMed] [Google Scholar]
- 11.Maggioni AP, Dahlström U, Filippatos G, Chioncel O, Leiro MC, Drozdz J, Fruhwald F, Gullestad L, Logeart D, Metra M, Parissis J, Persson H, Ponikowski P, Rauchhaus M, Voors A, Nielsen OW, Zannad F, Tavazzi L Heart Failure Association of ESC (HFA) EURObservational Research Programme: the Heart Failure Pilot Survey (ESC-HF Pilot) Eur J Heart Fail. 2010;12:1076–1084. doi: 10.1093/eurjhf/hfq154. [DOI] [PubMed] [Google Scholar]
- 12.van Veldhuisen DJ, Maass AH, Priori SG, Stolt P, van Gelder IC, Dickstein K, Swedberg K. Implementation of device therapy (cardiac resynchronization therapy and implantable cardioverter defibrillator) for patients with heart failure in Europe: changes from 2004 to 2008. Eur J Heart Fail. 2009;11:1143–1151. doi: 10.1093/eurjhf/hfp149. [DOI] [PubMed] [Google Scholar]
- 13.Gheorghiade M, Flaherty JD, Fonarow GC, Desai RV, Lee R, McGiffin D, Love TE, Aban I, Eichhorn EJ, Bonow RO, Ahmed A. Coronary artery disease, coronary revascularization, and outcomes in chronic advanced systolic heart failure. Int J Cardiol. 2011;151:69–75. doi: 10.1016/j.ijcard.2010.04.092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Meta-analysis Global Group in Chronic Heart Failure (MAGGIC) The survival of patients with heart failure with preserved or reduced left ventricular ejection fraction: an individual patient data meta-analysis. Eur Heart J. 2012;33:1750–1757. doi: 10.1093/eurheartj/ehr254. [DOI] [PubMed] [Google Scholar]
- 15.Lee DS, Gona P, Vasan RS, Larson MG, Benjamin EJ, Wang TJ, Tu JV, Levy D. Relation of disease pathogenesis and risk factors to heart failure with preserved or reduced ejection fraction: insights from the Framingham Heart Study of the National Heart, Lung, and Blood Institute. Circulation. 2009;119:3070–3077. doi: 10.1161/CIRCULATIONAHA.108.815944. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lourenço C, Saraiva F, Martins H, Baptista R, Costa S, Coelho L, Vieira H, Monteiro P, Franco F, Gonçalves L, Providęncia LA. Ischemic versus non-ischemic cardiomyopathy – are there differences in prognosis? Experience of an advanced heart failure center. Rev Port Cardiol. 2010;30:181–197. [PubMed] [Google Scholar]
- 17.Allen LA, Felker GM, Pocock S, McMurray JJ, Pfeffer MA, Swedberg K, Wang D, Yusuf S, Michelson EL, Granger CB CHARM Investigators. Liver function abnormalities and outcome in patients with chronic heart failure: data from the Candesartan in Heart Failure: Assessment of Reduction in Mortality and Morbidity (CHARM) program. Eur J Heart Fail. 2009;11:170–177. doi: 10.1093/eurjhf/hfn031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wedel H, McMurray JJ, Lindberg M, Wikstrand J, Cleland JG, Cornel JH, Dunselman P, Hjalmarson A, Kjekshus J, Komajda M, Kuusi T, Vanhaecke J, Waagstein F CORONA Study Group. Predictors of fatal and non-fatal outcomes in the Controlled Rosuvastatin Multinational Trial in Heart Failure (CORONA): incremental value of apolipoprotein A-1, high-sensitivity C-reactive peptide and N-terminal pro B-type natriuretic peptide. Eur J Heart Fail. 2009;11:281–291. doi: 10.1093/eurjhf/hfn046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Senni M, Parrella P, De Maria R, Cottini C, Böhm M, Ponikowski P, Filippatos G, Tribouilloy C, Di Lenarda A, Oliva F, Pulignano G, Cicoira M, Nodari S, Porcu M, Cioffi G, Gabrielli D, Parodi O, Ferrazzi P, Gavazzi A. Predicting heart failure outcome from cardiac and comorbid conditions: The 3C-HF score. Int J Cardiol. 2013;163:206–211. doi: 10.1016/j.ijcard.2011.10.071. [DOI] [PubMed] [Google Scholar]
- 20.Cleland JG, McMurray JJ, Kjekshus J, Cornel JH, Dunselman P, Fonseca C, Hjalmarson A, Korewicki J, Lindberg M, Ranjith N, van Veldhuisen DJ, Waagstein F, Wedel H, Wikstrand J CORONA Study Group. Plasma concentration of amino-terminal pro-brain natriuretic peptide in chronic heart failure: prediction of cardiovascular events and interaction with the effects of rosuvastatin: a report from CORONA (Controlled Rosuvastatin Multinational Trial in Heart Failure) J Am Coll Cardiol. 2009;54:1850–1859. doi: 10.1016/j.jacc.2009.06.041. [DOI] [PubMed] [Google Scholar]
- 21.Masson S, Latini R, Anand IS, Barlera S, Angelici L, Vago T, Tognoni G, Cohn JN Val-HeFT Investigators. Prognostic value of changes in N-terminal pro-brain natriuretic peptide in Val-HeFT (Valsartan Heart Failure Trial) J Am Coll Cardiol. 2008;52:997–1003. doi: 10.1016/j.jacc.2008.04.069. [DOI] [PubMed] [Google Scholar]
- 22.Porapakkham P, Porapakkham P, Zimmet H, Billah B, Krum H. B-type natriuretic peptide-guided heart failure therapy: A meta-analysis. Arch Intern Med. 2010;170:507–514. doi: 10.1001/archinternmed.2010.35. [DOI] [PubMed] [Google Scholar]
- 23.Kalogeropoulos A, Georgiopoulou V, Psaty BM, Rodondi N, Smith AL, Harrison DG, Liu Y, Hoffmann U, Bauer DC, Newman AB, Kritchevsky SB, Harris TB, Butler J Health ABC Study Investigators. Inflammatory markers and incident heart failure risk in older adults: the Health ABC (Health, Aging, and Body Composition) study. J Am Coll Cardiol. 2010;55:2129–2137. doi: 10.1016/j.jacc.2009.12.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Windram JD, Loh PH, Rigby AS, Hanning I, Clark AL, Cleland JG. Relationship of high-sensitivity C-reactive protein to prognosis and other prognostic markers in outpatients with heart failure. Am Heart J. 2007;153:1048–1055. doi: 10.1016/j.ahj.2007.03.044. [DOI] [PubMed] [Google Scholar]
- 25.Kozdağ G, Ertaş G, Teoman Kılıç T, Acar E, Ağir A, Sahin T, Cetin M, Bildirici U, Ural D. Elevated level of high-sensitivity C-reactive protein is important in determining prognosis in chronic heart failure. Med Sci Monit. 2010;16:CR156–161. [PubMed] [Google Scholar]
- 26.Yan RT, Fernandes V, Yan AT, Cushman M, Redheuil A, Tracy R, Vogel-Claussen J, Bahrami H, Nasir K, Bluemke DA, Lima JA. Fibrinogen and left ventricular myocardial systolic function: The Multi-Ethnic Study of Atherosclerosis (MESA) Am Heart J. 2010;160:479–486. doi: 10.1016/j.ahj.2010.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Barac A, Wang H, Shara NM, de Simone G, Carter EA, Umans JG, Best LG, Yeh J, Dixon DB, Devereux RB, Howard BV, Panza JA. Markers of inflammation, metabolic risk factors, and incident heart failure in American Indians: the Strong Heart Study. J Clin Hypertens (Greenwich) 2012;14:13–19. doi: 10.1111/j.1751-7176.2011.00560.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Meluzin J, Spinarová L, Hude P, Krejcí J, Dusek L, Vítovec J, Panovsky R. Combined right ventricular systolic and diastolic dysfunction represents a strong determinant of poor prognosis in patients with symptomatic heart failure. Int J Cardiol. 2005;105:164–173. doi: 10.1016/j.ijcard.2004.12.031. [DOI] [PubMed] [Google Scholar]
- 29.Chrustowicz A, Simonis G, Matschke K, Strasser RH, Gackowski A. Right ventricular dilatation predicts survival after mitral valve repair in patients with impaired left ventricular systolic function. Eur J Echocardiogr. 2009;10:309–313. doi: 10.1093/ejechocard/jen247. [DOI] [PubMed] [Google Scholar]
- 30.Gustafsson F, Schou M, Videbaek L, Dridi N, Ryde H, Handberg J, Hildebrandt PR Danish Heart Failure Clinics Network. Incidence and predictors of hospitalization or death in patients managed in multidisciplinary heart failure clinics. Eur J Heart Fail. 2009;11:413–419. doi: 10.1093/eurjhf/hfp025. [DOI] [PubMed] [Google Scholar]