Literature DB >> 31340235

High Level of Lipoprotein(a) as Predictor for Recurrent Heart Failure in Patients with Chronic Heart Failure: a Cohort Study.

Jianlong Yan1, Yanbin Pan2, Junhui Xiao1, Wenxue Ma1, Li Li1, Mingjiang Zhong1, Haiquan Long1, Fanliang Kong1, Wenming Shao3.   

Abstract

BACKGROUND: Elevated plasma levels of Lipoprotein(a) [Lp(a)] are recognized as a significant risk factor for atherosclerotic vascular disease. However, there are limited data regarding association between Lp(a) and recurrent heart failure (HF) in patients with chronic HF caused by coronary heart disease (CHD).
OBJECTIVE: Elevated levels of Lp(a) might have a prognostic impact on recurrent HF in patients with chronic HF caused by CHD.
METHODS: A total of 309 patients with chronic HF caused by CHD were consecutively enrolled in this study. The patients were divided into 2 groups according to whether Lp(a) levels were above or below the median level for the entire cohort (20.6 mg/dL): the high Lp(a) group (n = 155) and the low Lp(a) group (n = 154). A 2-sided p < 0.05 was statistically considered significant.
RESULTS: During the median follow-up period of 186 days, 31 cases out of a total of 309 patients (10.03%) could not be reached during follow-up. A Kaplan-Meier analysis demonstrated that patients with higher Lp(a) levels had a higher incidence of recurrent HF than those with lower Lp(a) levels (log-rank < 0.0001). A multivariate Cox regression analysis revealed that Lp(a) levels were independently correlated with the incidence of recurrent HF after adjustment of potential confounders (hazard ratio: 2.720, 95 % confidence interval: 1.730-4.277, p < 0.0001).
CONCLUSIONS: In Chinese patients with chronic HF caused by CHD, elevated levels of Lp(a) are independently associated with recurrent HF.

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Year:  2019        PMID: 31340235      PMCID: PMC6777886          DOI: 10.5935/abc.20190120

Source DB:  PubMed          Journal:  Arq Bras Cardiol        ISSN: 0066-782X            Impact factor:   2.000


Introduction

Heart failure (HF) is a global, severe public health issue.[1] According to previous reports, the prevalence of HF is stable, at approximately 1% to 2% of the general population, but this number sharply increases to 20% in those aged over 80 years.[2] Among most developed and developing countries, the increasing number of HF patients has already become a significant epidemic and a major cause of hospitalizations, morbidity, and mortality despite advances in the treatment of HF.[3-6] Elevated plasma levels of Lipoprotein(a) [Lp(a)] are recognized as a significant risk factor for atherosclerotic cardiac and cerebrovascular disease.[7-11] Lp(a) consists of one molecule of a low density lipoprotein (LDL)-like particle, containing apolipoprotein B-100 (apoB) and one molecule of a large highly polymorphic glycoprotein, named apolipoprotein(a) (apoA), which are connected by a single disulfide bond.[12] Studies have shown that Lp(a) contributes to cardiovascular disease (CVD) risk through multiple mechanisms, such as proatherogenic, proinflammatory, and potentially antifibrinolytic mechanisms.[13-15] In the current studies, high levels of Lp(a) have been shown to be an independent risk factor for myocardial infarction,[8] stroke,[7] aortic stenosis,[16] and, as now shown, HF.[17] However, no studies have illustrated the significant association between Lp(a) levels and recurrent HF in participants with chronic HF caused by coronary heart disease (CHD). Therefore, our study sought to evaluate the association between plasma levels of Lp(a) and recurrent HF in patients with chronic HF caused by CHD.

Methods

Research design and population

In total, 309 hospitalized patients who were diagnosed with chronic HF due to CHD in the First Affiliated Hospital of Jinan University Guangzhou, China, were consecutively enrolled over a continuous period between January 2014 and December 2016. Chronic HF was diagnosed by two cardiologists based on 2016 European Society of Cardiology guidelines.[18] Patients were enrolled based on the following criteria: 1) The etiology of chronic HF is CHD; 2) patients with HF in New York Heart Association functional class II to IV. Patients were excluded according to the following criteria: 1) chronic HF secondary to other heart diseases, such as valvular heart disease, obstructive hypertrophic cardiomyopathy, and myocarditis and pericardial disease; 2) complicated with infectious diseases, autoimmune diseases, malignant tumors, severe liver and end-stage kidney disease with dialysis and systemic disease such as hyperthyroidism; 3) removal of patients who lack clinical data; 4) administration of medications that affect Lp(a) levels (nicotinic acid including niceritrol, tocopherol nicotinate, and nicomol). Data at the first admission were collected for patients with multiple hospitalizations. Hypertension was defined as systolic blood pressure (BP) ≥ 140 mmHg or diastolic BP ≥ 90 mmHg on repeated measurements, or the use of antihypertensive medication. Diabetes mellitus (DM) was defined according to the World Health Organization criteria.[19] We assessed the estimated glomerular filtration rate (eGFR) according to the Chinese Modification of Diet in Renal Diseases equation based on serum creatinine, age, and gender.[20] This study was approved by the ethics committee of the First Affiliated Hospital of Jinan University and is in accordance with the Declaration of Helsinki. Written informed consent was obtained from the participants involved in the study.

Laboratory measurements

The venous blood samples were usually obtained on the 2nd morning of admission after an 8-hour fasting. Serum Lp(a) levels were measured by latex agglutination immunoassays and apolipoproteins were determined by fixed-rate immunonephelometric assay using a HITACHI 7600 chemistry autoanalyzer (Hitachi High-Technologies Corporation, Tokyo, Japan).

Echocardiography

Transthoracic echocardiographic examination was performed on each enrolled patient by an experienced ultrasonographist using a Philips IE33 (Philips Healthcare, the Netherlands) cardiac ultrasound system machine within 24 to 48 hours after admission and within 24 hours after the primary PCI. Left ventricular ejection fraction (LVEF) was estimated with the modified Simpson method.

Clinical outcome and follow-up

The primary outcome evaluated in the present study was recurrent HF. The patients included in this study were followed for 1, 3, 6, 9, and 12 months after discharge with 1) access to medical records, outpatient electronic workstations, and medical insurance system; 2) telephone or face-to-face visits. For follow-up failures, we contacted the patients' family or neighbors, or even their workplaces.

Statistical analysis

First, continuous variables with normal distribution were expressed as mean (standard deviation [SD]); non-normal variables were reported as median (interquartile range [IQR]). Categorical variables were described as numbers and/or percentages. Means of 2 continuous normally distributed variables were compared by independent samples Student’s t test. Mann-Whitney U test was employed to compare means of 2 groups of variables not normally distributed. The frequencies of categorical variables were compared using Pearson χ2test. Second, patients were divided into 2 groups according to whether Lp(a) levels were above or below the median level for the entire cohort (20.6 mg/dL): the high Lp(a) group (n = 155) and the low Lp(a) group (n = 154). The event-free rate for recurrent HF was plotted using Kaplan−Meier method with the log-rank test. Third, we analyzed the association of plasma Lp(a) levels as a continuous variable and as categorical variables with recurrent HF. Cox proportional hazards models were used to evaluate these associations, both with and without adjustment for confounding variables. In the adjusted regression model I, number of stents, multiple lesions, aldosterone antagonists, LN-NT-proBNP, SBP, and NYHA class were included. Model II was further adjusted for the same variables as Model I plus the following risk factors: gender, DM, atrial fibrillation (AF), hypertension, LAD lesion, prior PCI, two lesions, diuretics, ACEI/ARBs, digoxin, beta-blockers, anti-diabetic drugs, heart rate, total cholesterol (TC), potassium, high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides, hemoglobin, LVEF, age, body mass index (BMI), and eGFR. The MedCalc software, version 15.2.2, was used to calculate the clinical outcomes with relative risk and 95% confidence interval (CI). The Cox proportional hazards models analyses was performed using the EmpowerStats statistical software (http://www.empowerstats.com, X&Y Solutions, Inc. Boston, MA) and the statistical package R (http://www.R-project.org). A 2-sided p < 0.05 was considered statistically significant.

Results

Baseline characteristics

A total of 309 patients with chronic HF caused by CHD were enrolled in this study. 31 patients (10.03%) could not be reached during follow-up. The mean age of the patients was 68.6 ± 11.6 years, and 174 (56.3%) were males. The medians (IQR) of two groups of Lp(a) levels were 12.0 (7.6-16.6) mg/dL and 35.3 (25.4-52.0) mg/dL, respectively (p < 0.001). Baseline characteristics and laboratory results, past medical history, and medications at discharge are shown in Table 1. There were differences in NYHA class, LVEF, NT-proBNP and Lp(a) levels, prior MI, prior PCI, multiple lesions, and number of stents between 2 groups. Meanwhile, there were no differences regarding medication at discharge, age, male gender, current smoker, BMI, heart rate, eGFR, conventional lipid profile, DM, AF, hypertension, and prior CABG.
Table 1

Baseline characteristics of the study population

VariablesAll patients (n = 309)Low-Lp (a) Group (n = 154)High-Lp (a) Group (n = 155)p value
Age (years)68.6 ± 11.668.5 ± 11.768.8 ± 11.60.833
Male gender (%)174 (56.3)79 (51.3)95 (61.3)0.077
Current smokers (%)72 (23.3)31 (20.1)41 (26.5)0.189
Alcohol intake (%)15 (4.9)6 (3.9)9 (5.8)0.435
Heart rate (beats/min)81.6 ± 18.581.7 ± 18.081.5 ± 19.10.920
BMI (kg/m2)21.9 ± 4.522.4 ± 4.521.5 ± 4.50.087
SBP (mmHg)142.5 ± 28.1146.0 ± 29.3139.0 ± 26.40.801
NYHA class (%)   < 0.001
    II154 (49.8)103 (66.9)51 (32.9) 
    III102 (33.0)32 (20.8)70 (45.2) 
    IV53 (17.2)19 (12.3)34 (21.9) 
Potassium (mmol/L)3.9 ± 0.43.9 ± 0.44.0 ± 0.40.754
Sodium (mmol/L)141.1 ± 4.2141.2 ± 3.9141.0 ± 4.40.633
Hemoglobin (g/dL)131.0 ± 17.8130.6 ± 16.3131.2 ± 19.20.760
NT-proBNP (pg/ml)3109.0 (1500.0-6313.0)1534.5 (1075.0-2523.5)5977.0 (3222.0-8835.0)< 0.001
LN-NT-proBNP (pg/ml*)8.0 ± 0.87.4 ± 0.78.6 ± 0.6< 0.001
LVEF (%)48.3 ± 4.249.2 ± 3.847.4 ± 4.4< 0.001
eGFR (mL/min/1.73 m2) 85.3 ± 29.888.4 ± 28.182.1 ± 31.10.063
TC (mg/dL)156.7 (129.7-190.4)161.0 (135.3-187.9)156.0 (127.3-191.9)0.974
Lp(a) (mg/dL)20.6 (12.0-35.3)12.0 (7.6-16.6)35.3 (25.4-52.0)< 0.001
HDL-C (mg/dL)42.6 (36.4-50.3)42.8 (36.1-50.3)42.6 (37.0-49.5)0.762
LDL-C (mg/dL)90.3 (72.6-118.1)92.1 (74.9-111.2)88.4 (64.3-121.8)0.609
TG (mg/dL)117.8 (82.3-167.3)125.7 (81.5-189.5)112.5 (83.7-155.4)0.133
LAD lesion(%)278 (90.0)137 (89.0)141 (91.0)0.557
Two lesions(%)91 (29.4)41 (26.6)50 (32.3)0.277
Multiple lesions(%)89 (28.8)34 (22.1)55 (35.5)0.009
Number of stents (%)   < 0.001
    0141 (45.6)87 (56.5)54 (34.8) 
    196 (31.0)47 (30.5)49 (31.6) 
    250 (16.2)11 (7.1)39 (25.2) 
    314 (4.5)5 (3.2)9 (5.8) 
    48 (2.6)4 (2.6)4 (2.6) 
History of    
DM(%)130 (42.1)57 (37.0)73 (47.1)0.073
AF(%)32 (10.4)18 (11.7)14 (9.0)0.444
Hypertension (%)251 (81.2)131 (85.1)120 (77.4)0.085
Prior MI(%)91 (29.4)33 (21.4)58 (37.4)0.002
Prior CABG(%)2 (0.6)2 (1.3)0 (0.0)0.475
Prior PCI(%)164 (53.1)66 (42.9)98 (63.2)<0.001
Medications at discharge    
Diuretics (%)183 (59.2)88 (57.1)95 (61.3)0.458
Digoxin (%)12 (3.9)5 (3.2)7 (4.5)0.564
ACEI/ARBs (%)285 (92.2)140 (90.9)145 (93.5)0.386
Beta-blockers (%)276 (89.3)133 (86.4)143 (92.3)0.093
Aldosterone antagonists (%)171 (55.3)83 (53.9)88 (56.8)0.611
antiplatelet drugs(%)296 (95.8)146 (94.8)150 (96.8)0.389
Statins (%)303 (98.1)150 (97.4)153 (98.7)0.405
Anti-diabetic drugs(%)125 (40.5)55 (35.7)70 (45.2)0.091

AF: atrial fibrillation; ACEI: angiotensin-converting enzyme inhibitor; ARB: angiotensin II receptor blocker; BMI: body mass index; DM: diabetes mellitus; eGFR: estimated glomerular filtration rate; HDL-C: high-density lipoprotein cholesterol; Lp(a): lipoprotein(a); LDL-C: low-density lipoprotein cholesterol; LVEF: left ventricular ejection fraction; LAD: lesion left anterior descending artery lesion; NYHA class: New York Heart Association class; NT-proBNP: N-terminal pro-B type natriuretic peptide; Prior MI: prior myocardial infarction; Prior CABG: prior coronary artery bypass grafting; Prior PCI: prior percutaneous coronary intervention; SBP: systolic blood pressure; TC: total cholesterol; TG: triglycerides.

LN-NT-proBNP was the natural logarithm of NT-proBNP. Data are presented as mean ± standard deviation (SD), median (interquartile range [IQR]) or n (%).

Baseline characteristics of the study population AF: atrial fibrillation; ACEI: angiotensin-converting enzyme inhibitor; ARB: angiotensin II receptor blocker; BMI: body mass index; DM: diabetes mellitus; eGFR: estimated glomerular filtration rate; HDL-C: high-density lipoprotein cholesterol; Lp(a): lipoprotein(a); LDL-C: low-density lipoprotein cholesterol; LVEF: left ventricular ejection fraction; LAD: lesion left anterior descending artery lesion; NYHA class: New York Heart Association class; NT-proBNP: N-terminal pro-B type natriuretic peptide; Prior MI: prior myocardial infarction; Prior CABG: prior coronary artery bypass grafting; Prior PCI: prior percutaneous coronary intervention; SBP: systolic blood pressure; TC: total cholesterol; TG: triglycerides. LN-NT-proBNP was the natural logarithm of NT-proBNP. Data are presented as mean ± standard deviation (SD), median (interquartile range [IQR]) or n (%).

Clinical outcomes

The median follow-up period was 186 days, with a maximum of 365 days. Clinical outcomes between groups are summarized in Table 2. The recurrent HF was significantly different between the 2 groups, but cardiac death, acute coronary syndrome, and ischemic stroke were not. The presence of elevated Lp(a) levels was associated with a greater rate of the recurrent HF (51.3% vs 78.1%, p < 0.0001).
Table 2

Clinical outcomes

VariablesLow-Lp (a) Group (n = 154)High-Lp (a) Group (n = 155)RR95% CIp value
Recurrent HF79 (51.3)121 (78.1)1.521.28-1.81< 0.0001
Ischemic stroke1 (0.6)3 (1.9)2.980.31-28.340.3419
ACS1 (0.6)5 (3.2)4.970.59-42.030.1412
NSTEMI0 (0)2 (1.3)4.970.24-102.650.2995
STEMI1 (0.6)3 (1.9)2.980.31-28.340.3419
Cardiac death0 (0)2 (1.3)4.970.24-102.650.2995

ACS: acute coronary syndrome; CI: confidence interval; HF: heart failure; NSTEMI: non-ST-segment elevation myocardial infarction; RR: relative risk; STEMI: ST‑segment elevation myocardial infarction. Data are presented as n (%).

Clinical outcomes ACS: acute coronary syndrome; CI: confidence interval; HF: heart failure; NSTEMI: non-ST-segment elevation myocardial infarction; RR: relative risk; STEMI: ST‑segment elevation myocardial infarction. Data are presented as n (%).

Kaplan-Meier survival analysis

Kaplan-Meier survival analysis demonstrated that patients in the high Lp(a) group had a significantly higher incidence rate of the recurrent HF compared with those in the low Lp(a) group (log-rank p < 0.0001) (Figure 1).
Figure 1

Kaplan-Meier curve for recurrent HF free rate according to Lp(a) levels. HF: heart failure.

Kaplan-Meier curve for recurrent HF free rate according to Lp(a) levels. HF: heart failure.

Hazard ratio (95% confidence interval) for recurrent HF events

Considering Lp(a) < 20.6 as the reference group, Lp(a) ≥ 20.6 had higher risks for recurrent HF, with HR of 3.071 (95% CI, 2.283-4.130, p<0.0001). When adjusted for clinical parameters such as number of stents, multiple lesions, aldosterone antagonists, LN-NT-proBNP, SBP, NYHA class, the HR of Lp(a) ≥ 20.6 was 2.244 (95% CI, 1.493-3.371, p = 0.0001). The HR from adjusted II was further increased after further adjustment for other known confounding variables. Compared with the reference, the HR of Lp(a) ≥ 20.6 was 2.720 (95% CI, 1.730-4.277, p = 0.0001). In addition, analyses with the plasma Lp(a) levels as a continuous variable were conducted for the overall population, which showed these associations remained statistically significant after adjustment in Adjust I and Adjust II (Table 3).
Table 3

Associations between baseline Lp(a) with recurrent heart failure

ExposureNon-adjusted HR (95%Cl)p valueAdjust I HR (95%Cl)p valueAdjust II HR (95%Cl)p value
LP(a)1.022 (1.016-1.028) < 0.00011.014  (1.006-1.023)0.00081.018 (1.009-1.027)0.0001
LP(a)      
< 20.61.0 1.0 1.0 
≥ 20.63.071 (2.283-4.130)< 0.00012.244  (1.493-3.371)0.00012.720 (1.730-4.277)< 0.0001

AF: atrial fibrillation; ACEI: angiotensin-converting enzyme inhibitor; ARB: angiotensin II receptor blocker; BMI: body mass index; DM: diabetes mellitus; eGFR: estimated glomerular filtration rate; HDL-C: high-density lipoprotein cholesterol; LVEF: left ventricular ejection fraction; LDL-C: low-density lipoprotein cholesterol; LAD: lesion left anterior descending artery lesion; Lp(a): lipoprotein(a); NYHA class: New York Heart Association class; NT-proBNP: N-terminal pro-B type natriuretic peptide; Prior PCI: prior percutaneous coronary intervention; SBP: systolic blood pressure; TC: total cholesterol; TG: triglycerides. Non-adjusted model adjust for: none. Adjust I model adjust for: number of stent, multiple lesions, aldosterone antagonists, LN-NT-proBNP, SBP, NYHA class.

Associations between baseline Lp(a) with recurrent heart failure AF: atrial fibrillation; ACEI: angiotensin-converting enzyme inhibitor; ARB: angiotensin II receptor blocker; BMI: body mass index; DM: diabetes mellitus; eGFR: estimated glomerular filtration rate; HDL-C: high-density lipoprotein cholesterol; LVEF: left ventricular ejection fraction; LDL-C: low-density lipoprotein cholesterol; LAD: lesion left anterior descending artery lesion; Lp(a): lipoprotein(a); NYHA class: New York Heart Association class; NT-proBNP: N-terminal pro-B type natriuretic peptide; Prior PCI: prior percutaneous coronary intervention; SBP: systolic blood pressure; TC: total cholesterol; TG: triglycerides. Non-adjusted model adjust for: none. Adjust I model adjust for: number of stent, multiple lesions, aldosterone antagonists, LN-NT-proBNP, SBP, NYHA class.

Discussion

To our knowledge, this is the first study to analyze the association between baseline Lp(a) levels and recurrent HF in patients with chronic HF due to CHD. We found that a higher Lp(a) level is an independent predictor of the occurrence of recurrent HF in patients with chronic HF caused by CHD. Previous several studies have demonstrated the association between Lp(a) levels and cardiac and cerebrovascular events. High levels of Lp(a) are associated with increased risk of myocardial infarction in a prospective general population study with 16 years of follow-up.[8] One study revealed that Lp(a) levels at admission were independently correlated with the occurrence of MACCE in patients with STEMI.[21] Another study suggested that an elevated Lp(a) level was significantly associated with long-term mortality following coronary angiography or percutaneous coronary intervention.[22] Although many studies have shown that LP(a) is an independent risk factor for adverse cardiac and cerebrovascular outcomes, limited data are available on the association between baseline Lp(a) levels and recurrent HF. In our study, we showed that baseline levels of Lp(a) ≥ 20.6 mg/dL was associated with significantly increased risk of recurrent HF with an HR of 2.720 (95% CI, 1.730-4.277; p<0.0001) in patients with chronic HF due to CHD during the one-year follow-up, even after adjustment for major covariables. This observed association is consistent with the findings from a large-scale prospective study in a Danish overall population that consisted of 98,097 participants aged 48-67 y at baseline, followed for up to 21 years (mean of 7). The population attributable risk of HF was 9% for elevated Lp(a) levels.[17] Currently, there are a few possible reasons for HF. Two possible mechanisms might explain this association between Lp(a) and HF occurrence:1) The increased HF risk due to elevated Lp(a) levels was partially mediated by myocardial infarction and/or aortic valve stenosis,[17,23] which can also be observed in our study. However, most part cannot be explained through both sides. 2) Given its proatherogenic properties, increased arterial stiffness, including vascular noncompliance in the aorta, was strongly associated with increased risk of HF.[24] Because echocardiography data were not collected, we could not assess the associations of Lp(a) levels, aortic stenosis, arterial stiffness and HF in our study. Compared with previous studies, our study included patients with a history of chronic HF. In addition, patients have poor left ventricular systolic function. The abovementioned fact is the possible cause of HF recurrence. Additionally, the median value of Lp(a) is also different among different ethnicities, such as non-Hispanic Caucasians (median, 12 mg/dL [IQR, 5-32 mg/dL]), and Japanese individuals (median, 13 mg/dL [IQR, 5-26 mg/dL]).[25] In our study, Lp(a) was higher than in other populations (median, 20.6 mg/dL [IQR, 12.0-35.5 mg/dL]). Apo (a) contains 10 KIV repeated subtypes comprised of a single copy of KIV1, multiple copies of KIV2, a single copy of KIV3 ~ 10.[12] Lp(a) levels are genetically determined by the variation of the copy number of kringle IV type 2 (KIV-2) repeats on the LPA gene and various single nucleotide polymorphisms.[25] The number of repeats was inversely associated with Lp(a) levels.[25] In addition, Frischmann et al.[26] observed that increased plasma LP(a) levels were associated with renal dysfunction. In our study, the included subjects had lower glomerular filtration rate, which led to reduced clearance of Lp(a), and higher plasma levels than in other previously studied Chinese populations. In our study, the rates of statin use were up to 97.4% and 98.7% in patients with low-Lp(a) group and high-Lp(a) group, respectively, and most patients adhered to statin therapy during follow-up, but statins were originally intended to lower LDL-C levels. Moreover, previous studies have shown that statin therapy did not easily alter Lp(a) levels.[27,28] About the Lp(a) reduction treatment, early treatment with nicotinic acid, with the increase in nicotinic acid treatment dose, also correspondingly resulted in lower serum levels of Lp(a), and a maximum reduction in Lp(a) levels of up to 30-40%.[29] Because of the significant side effects such as facial blushing and liver toxicity, it is no longer widely used.[30] Recently, new Lp(a)-lowering treatments have emerged. The novel lipid-lowering drug Mipomersen is a synthetic inhibitor of apoB that indirectly reduces the synthesis of Lp(a) by reducing the synthesis of apo B, which can significantly reduce Lp(a) levels in patients with CHD.[31] Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors reduce the level of LP(a) by inhibiting the degradation of low-density lipoprotein receptors (LDLR).[32] In the present study, none of the subjects used the abovementioned drugs. For patients with chronic HF due to CHD, further multicenter prospective randomized controlled trials are needed to verify whether lowering the levels of serum Lp(a) can reduce the risk of cardiovascular and cerebrovascular events.

Conclusion

In conclusion, in Chinese patients with chronic HF caused by CHD, our study demonstrates that elevated levels of Lp(a) significantly predict recurrent HF.

Limitations

Our study has several limitations. First, it was a retrospective, observational and single-center study with selection bias. Therefore, whether the associations between LPA, B and HF are actually established, further multicenter prospective randomized controlled trials are needed to verify them in the future. Second, although we adjusted several known confounding variables in the multivariable Cox proportional hazards models, other unknown factors might have played roles in recurrent HF. Third, the detection of events may have been incomplete due to follow-up failures. 31 cases out of a total of 309 patients (10.03%) could not be reached during follow-up. Fourth, our study did not differ between HF with preserved and reduced ejection fraction when assessing the association between Lp(a) and recurrent HF in patients with chronic HF who have CHD.
  31 in total

1.  2013 ACCF/AHA guideline for the management of heart failure: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines.

Authors:  Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Mark H Drazner; Gregg C Fonarow; Stephen A Geraci; Tamara Horwich; James L Januzzi; Maryl R Johnson; Edward K Kasper; Wayne C Levy; Frederick A Masoudi; Patrick E McBride; John J V McMurray; Judith E Mitchell; Pamela N Peterson; Barbara Riegel; Flora Sam; Lynne W Stevenson; W H Wilson Tang; Emily J Tsai; Bruce L Wilkoff
Journal:  Circulation       Date:  2013-06-05       Impact factor: 29.690

2.  HMG CoA reductase inhibitors lower LDL cholesterol without reducing Lp(a) levels.

Authors:  G M Kostner; D Gavish; B Leopold; K Bolzano; M S Weintraub; J L Breslow
Journal:  Circulation       Date:  1989-11       Impact factor: 29.690

Review 3.  Apolipoprotein(a) isoforms and the risk of vascular disease: systematic review of 40 studies involving 58,000 participants.

Authors:  Sebhat Erqou; Alexander Thompson; Emanuele Di Angelantonio; Danish Saleheen; Stephen Kaptoge; Santica Marcovina; John Danesh
Journal:  J Am Coll Cardiol       Date:  2010-05-11       Impact factor: 24.094

4.  Oxidized Phospholipids on Lipoprotein(a) Elicit Arterial Wall Inflammation and an Inflammatory Monocyte Response in Humans.

Authors:  Fleur M van der Valk; Siroon Bekkering; Jeffrey Kroon; Calvin Yeang; Jan Van den Bossche; Jaap D van Buul; Amir Ravandi; Aart J Nederveen; Hein J Verberne; Corey Scipione; Max Nieuwdorp; Leo A B Joosten; Mihai G Netea; Marlys L Koschinsky; Joseph L Witztum; Sotirios Tsimikas; Niels P Riksen; Erik S G Stroes
Journal:  Circulation       Date:  2016-08-05       Impact factor: 29.690

Review 5.  Endothelial dysfunction, arterial stiffness, and heart failure.

Authors:  Catherine N Marti; Mihai Gheorghiade; Andreas P Kalogeropoulos; Vasiliki V Georgiopoulou; Arshed A Quyyumi; Javed Butler
Journal:  J Am Coll Cardiol       Date:  2012-09-19       Impact factor: 24.094

6.  Mipomersen, an antisense oligonucleotide to apolipoprotein B-100, reduces lipoprotein(a) in various populations with hypercholesterolemia: results of 4 phase III trials.

Authors:  Raul D Santos; Frederick J Raal; Alberico L Catapano; Joseph L Witztum; Elisabeth Steinhagen-Thiessen; Sotirios Tsimikas
Journal:  Arterioscler Thromb Vasc Biol       Date:  2015-01-22       Impact factor: 8.311

Review 7.  Worldwide risk factors for heart failure: a systematic review and pooled analysis.

Authors:  Shahab Khatibzadeh; Farshad Farzadfar; John Oliver; Majid Ezzati; Andrew Moran
Journal:  Int J Cardiol       Date:  2012-11-30       Impact factor: 4.164

8.  Oxidized Phospholipids, Lipoprotein(a), and Progression of Calcific Aortic Valve Stenosis.

Authors:  Romain Capoulade; Kwan L Chan; Calvin Yeang; Patrick Mathieu; Yohan Bossé; Jean G Dumesnil; James W Tam; Koon K Teo; Ablajan Mahmut; Xiaohong Yang; Joseph L Witztum; Benoit J Arsenault; Jean-Pierre Després; Philippe Pibarot; Sotirios Tsimikas
Journal:  J Am Coll Cardiol       Date:  2015-09-15       Impact factor: 24.094

9.  The global health and economic burden of hospitalizations for heart failure: lessons learned from hospitalized heart failure registries.

Authors:  Andrew P Ambrosy; Gregg C Fonarow; Javed Butler; Ovidiu Chioncel; Stephen J Greene; Muthiah Vaduganathan; Savina Nodari; Carolyn S P Lam; Naoki Sato; Ami N Shah; Mihai Gheorghiade
Journal:  J Am Coll Cardiol       Date:  2014-02-05       Impact factor: 24.094

10.  Lipoprotein(a) as a cardiovascular risk factor: current status.

Authors:  Børge G Nordestgaard; M John Chapman; Kausik Ray; Jan Borén; Felicita Andreotti; Gerald F Watts; Henry Ginsberg; Pierre Amarenco; Alberico Catapano; Olivier S Descamps; Edward Fisher; Petri T Kovanen; Jan Albert Kuivenhoven; Philippe Lesnik; Luis Masana; Zeljko Reiner; Marja-Riitta Taskinen; Lale Tokgözoglu; Anne Tybjærg-Hansen
Journal:  Eur Heart J       Date:  2010-10-21       Impact factor: 29.983

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1.  Biomarkers in Heart Failure.

Authors:  Pedro Pimenta de Mello Spineti
Journal:  Arq Bras Cardiol       Date:  2019-09-02       Impact factor: 2.000

2.  A male-specific association between AGTR1 hypermethylation and coronary heart disease.

Authors:  Xiaojing Li; Nan Wu; Huihui Ji; Yi Huang; Haochang Hu; Jiyi Li; Siyu Mi; Shiwei Duan; Xiaomin Chen
Journal:  Bosn J Basic Med Sci       Date:  2020-02-05       Impact factor: 3.363

3.  Association of lipoprotein (a) and 1 year prognosis in patients with heart failure with reduced ejection fraction.

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