Retrospective Study Open Access
Copyright ©2014 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Cardiol. Apr 26, 2014; 6(4): 205-212
Published online Apr 26, 2014. doi: 10.4330/wjc.v6.i4.205
Prognostic value of increased carbohydrate antigen in patients with heart failure
Ana B Méndez, Andreu Ferrero, Mariana Noguero, Sònia Mirabet, Juan Cinca, Eulàlia Roig, Cardiology Department, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Biomèdica Sant Pau and Universitat Autònoma, 08041 Barcelona, Spain
Jordi Ordoñez-Llanos, Teresa Mir, Josefina Mora, Biochemistry Department, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Biomèdica Sant Pau and Universitat Autònoma, 08041 Barcelona, Spain
Antoni Bayes-Genis, Cardiology Department, Hospital Germans Trias I Pujol, 08916 Badalona, Spain
Author contributions: Mendez AB contributed to design of the study, analysis and interpretation of data, manuscript writing and final approval of manuscript; Ordoñez-Llanos J contributed to analysis of data, review of CA125 and NT-proBNP determinations and substantial contribution to manuscript review; Ferrero A contributed to statistical assessment and substantial contribution to manuscript review; Noguero M contributed to patient selection and follow-up, Serotec and analysis of data; Mir T and Mora J contributed to CA125 and NT-proBNP determinations, analysis of data, substantial contribution to manuscript; Bayes-Genis A and Mirabet S contributed to patient selection and follow-up, analysis of data, substantial contribution to manuscript; Cinca J contributed to design of the study and substantial contribution to manuscript review; Roig E contributed to design of the study, selection of patients, analysis of data, and substantial contribution to manuscript review.
Supported by Ministerio Español de Salud, Redes de Investigación del Instituto de Salud Carlos III (RIC, RD12/0042) y Fondo Europeo de Desarrollo Regional (FEDER)
Correspondence to: Eulàlia Roig, MD, Cardiology Department, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Biomèdica Sant Pau and Universitat Autònoma, C/ Mas Casanovas 90, 08041 Barcelona, Spain. eroigm@santpau.cat
Telephone: +34-93-5565958 Fax: +34-93-5565604
Received: October 30, 2013
Revised: March 7, 2014
Accepted: March 13, 2014
Published online: April 26, 2014
Processing time: 175 Days and 20.6 Hours

Abstract

AIM: To study the prognostic value of carbohydrate antigen 125 (CA125) and whether it adds prognostic information to N-terminal pro-brain natriuretic peptide (NT-proBNP) in stable heart failure (HF) patients.

METHODS: The predictive value of CA125 was retrospectively assessed in 156 patients with stable HF remitted to the outpatient HF unit for monitoring from 2009 to 2011. Patients were included in the study if they had a previous documented episode of HF and received HF treatment. CA125 and NT-proBNP concentrations were measured. The independent association between NT-proBNP or CA125 and mortality was assessed with Cox regression analysis, and their combined predictive ability was tested by the integrated discrimination improvement (IDI) index.

RESULTS: The mean age of the 156 patients was 72 ± 12 years. During follow-up (17 ± 8 mo), 27 patients died, 1 received an urgent heart transplantation and 106 required hospitalization for HF. Higher CA125 values were correlated with outcomes: 58 ± 85 KU/L if hospitalized vs 34 ± 61 KU/L if not (P < 0.05), and 94 ± 121 KU/L in those who died or needed urgent heart transplantation vs 45 ± 78 KU/L in survivors (P < 0.01). After adjusting for propensity scores, the highest risk was observed when both biomarkers were elevated vs not elevated (HR = 8.95, 95%CI: 3.11-25.73; P < 0.001) and intermediate when only NT-proBNP was elevated vs not elevated (HR = 4.15, 95%CI: 1.41-12.24; P < 0.01). Moreover, when CA125 was added to the clinical model with NT-proBNP, a 4% (P < 0.05) improvement in the IDI was found.

CONCLUSION: CA125 > 60 KU/L identified patients in stable HF with poor survival. Circulating CA125 level adds prognostic value to NT-proBNP level in predicting HF outcomes.

Key Words: Heart failure, Prognosis, Carbohydrate antigen 125, Brain natriuretic peptides, Survival

Core tip: Increased carbohydrate antigen 125 (CA125) has prognostic implications in acute heart failure (HF). The aim of this study was to assess the prognostic value of increased CA125 and whether it adds prognostic information to N-terminal pro-brain natriuretic peptide (NT-proBNP) in stable HF patients. Higher CA125 values correlated with outcomes. The highest risk was observed when both biomarkers CA125 and NT-proBNP were elevated vs not elevated (HR = 8.95, 95%CI: 3.11-25.73; P < 0.001). CA125 > 60 KU/L identified patients in stable HF with very poor survival. Circulating CA125 level adds prognostic value to NT-proBNP level in predicting HF outcomes.



INTRODUCTION

Heart failure (HF) is a disease with high mortality[1] and an estimated prevalence up to 3% in the European population[2]. This prevalence increases exponentially with age, especially in patients older than 75 years. As the main cause of hospitalization, in patients over 65, HF is also associated with high costs. Despite recent advances in treatment, mortality is still high (12% per year) in stable patients, and there is a high rate of hospital readmissions due to worsening HF[3,4]. Even though a high number of clinical parameters have been associated with poor outcome in patients with stable HF, the assessment of prognosis is still a challenge[5,6]. Multiple biomarkers have been suggested to identify patients with worse prognosis, such as some interleukins, natriuretic peptides, endothelin, ST2, and several fibrosis markers[7-11]. Although most of these effectively select patients with high risk of death, only circulating levels of natriuretic peptides have proven useful in clinical practice. Natriuretic peptides are released when ventricular wall stress and ventricular end-diastolic pressure increase. Thus, an elevated level of either brain natriuretic peptide (BNP) or the amino terminal portion of N-terminal pro-BNP (NT-proBNP) in peripheral blood is associated with decompensated HF. The negative and positive predictive values of these peptides to diagnose HF have been widely studied[12-14]. Moreover, they are useful in the assessment of prognosis after a HF admission[8]. However, certain limitations affect the more extensive use of natriuretic peptides[15].

Carbohydrate antigen 125 (CA125) is a biomarker previously used in the detection and monitoring of some cancers, especially ovarian cancer[16]. It is a high-molecular-weight glycoprotein synthesized by epithelial cells of the serosa when there is inflammation and increased interstitial fluid; therefore, its level is elevated in the presence of pleural or pericardial effusion and ascites. Elevated CA125 has also been found in patients with HF, with or without fluid retention[16-19]. Although its release mechanisms are not yet well understood, they correlate with increased left ventricular end-diastolic pressure, higher BNP level, and worse New York Heart Association (NYHA) functional class[20,21]. Moreover, previous studies of BNP and CA125 in acute HF have demonstrated an additive prognostic value of CA125; therefore, the determination of both biomarkers would improve risk stratification[22]. The advantages of CA125 determination with respect to natriuretic peptides are its higher stability in the circulation and lower cost[23]. The usefulness of CA125 measurement to assess prognosis in patients admitted with acute decompensated HF has been previously demonstrated[19-22]. However, information is lacking on its value in assessing the prognosis of patients with stable chronic HF. The aim of this study was to analyze the prognostic implications of increased CA125 concentration in peripheral blood and whether it adds prognostic information to NT-proBNP in stable HF patients.

MATERIALS AND METHODS
Study population

The population was a prospective cohort of 156 patients diagnosed with HF and remitted to the outpatient HF unit for monitoring from 2009 to 2011. Patients were included in the study if they had a previous documented episode of HF and received HF treatment. The diagnosis of HF was made following the Clinical Practice Guidelines of the European Society of Cardiology[24]. HF treatment included angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) if ACEIs were contraindicated, beta blockers, diuretics, and aldosterone antagonists, with individualized assessment of treatment indication and optimized doses per recommendations of the Clinical Practice Guidelines of the European Society of Cardiology[24].

We excluded patients in unstable HF (NYHA functional class IV), patients with hemodynamic instability, or those diagnosed with cancer or systemic diseases that could shorten life expectancy. Patients with valve heart disease waiting for surgery repair were also excluded from the study. A 12-lead electrocardiogram (ECG) chest radiography and echocardiogram were performed in all patients to establish the HF etiology. Left ventricular systolic dysfunction was considered when ejection fraction was < 50%[25] and ventricular hypertrophy when ventricular septum or posterior left ventricular wall thickness was > 11 mm. Ischemic heart disease was diagnosed if pathologic Q waves were observed on the ECG or significant coronary lesions on the coronary angiography. Valve heart disease was diagnosed when a biological or mechanic valve prosthesis had been implanted or if the valve dysfunction was considered significant by echocardiography.

The hospital ethics committee approved the study, patients gave informed consent to participate, and the protocol conformed to the principles outlined in the Declaration of Helsinki.

Laboratory measurements

To obtain routine laboratory determinations and NT-proBNP concentrations, fasting serum blood samples were obtained during the first visit to the HF unit. CA125 and NT-proBNP concentrations were measured with commercial electrochemiluminescence assays in a Modular E170 analyzer (both from Roche Diagnostics, Basel, Switzerland). The CA125 assay used a pair of monoclonal anti-CA125 antibodies, one labeled with biotin, the other linked to ruthenium chelates. The analyzer had a sensitivity of 0.60 KU/L, and the total imprecision at different concentrations was ≤ 2.5%, expressed as a coefficient of variation.

Statistical analysis

During follow-up, mortality or need for urgent heart transplantation and new hospital admissions due to worsening HF were assessed. The primary end-point was all-cause mortality, which included need for urgent heart transplantation. The secondary end-point was worsening HF requiring hospital admission.

Continuous variables are expressed as mean ± SD and categorical variables as percentages. Continuous variables were compared using Student’s t test. The χ2 or Fisher exact test was used for categorical variables. The Kruskal-Wallis test was used when necessary. Variables without homogeneous distribution were analyzed with the nonparametric Mann-Whitney test. To normalize CA125 and NT-proBNP measurements, the neperian logarithm of CA125 and NT-proBNP values was used, creating two new variables: ln-CA125 and ln-NT-proBNP. Without a clear cut-off for NT-proBNP in the literature, 3100 ng/L was selected because it was close to the mean NT-proBNP value of our population and it had the best cut-off according to area under the curve (AUC) calculation, with a sensitivity of 62% and a specificity of 82% to predict mortality. A CA125 cut-off of 60 KU/L was used, in keeping with the best predictor of mortality identified by a previous study in patients with acute HF[22]. Based on these data, a new dichotomous variable was created for a CA125 value of 60 KU/L. Also, both variables were categorized for clinical practice and better interpretation.

To avoid overfitting multivariate models, two propensity score models[26,27] were used to adjust for confounding factors. Propensity score analysis was performed using logistic regression for computing probability to fall in NT-proBNP 3100 ng/L or CA125 60 KU/L categories. This analysis was based on seven variables associated to end-points with the objective of eliminating differences in baseline patient characteristics that might affect event comparison. The AUC was 0.75 (0.66-0.84); P < 0.001 for NT-proBNP categories and 0.70 (0.61-0.80); P < 0.001 for CA125. Variables included in the propensity score were left atrial diameter, age, atrial fibrillation, left ventricular ejection fraction, estimated glomerular filtrate rate (eGFR), hemoglobin and interventricular septum thickness.

The independent associations between CA125 and NT-proBNP and survival were assessed with the Cox regression analysis. The models were adjusted for the two propensity scores performed previously.

Two Cox models were compared to test improvement in risk stratification: Cox-model 1 (adjusted model with NT-proBNP 3100 ng/L) vs Cox-model 3 (adjusted model with 4 groups according to the cut-off concentrations of CA125 and NT-proBNP) (Table 1): The four groups in Cox model 3 were patients with both markers below the cut-off values, with only one elevated level (assessed for each biomarker), and with both markers above the cut-offs. The increase in the prognostic utility of NT-proBNP and NT-proBNP combined with CA125 when adding sequentially to the model was evaluated by the integrated discrimination improvement (IDI) index. When two nested models are compared, IDI quantifies the increment in the predicted probabilities for the subset of patients experiencing the event and the decrease for those not experiencing the event. In simpler terms, it reflects an improvement in the average of the true positive rate without sacrificing its average true negative rate[28]. The proportionality assumption for the hazard function over time was tested by means of the Schoenfeld residuals. The discriminative ability of the final model was assessed by Harrell’s C-statistic, and the calibration ability was assessed by the Gronnesby and Borgan test[29]. A two-sided P < 0.05 was considered statistically significant for all analyses. All analyses were performed using SPSS version 19.0 (Statistical Package for the Social Sciences, Chicago, Illinois) and R (R: A Language and Environment for Statistical Computing at http://www.R-project.org).

Table 1 Baseline characteristics by carbohydrate antigen 125 and N-terminal pro-brain natriuretic peptide class.
VariableCA125 < 60CA125 > 60CA125 < 60CA125 > 60P
NT-proBNP < 3100NT-proBNP < 3100NT-proBNP > 3100NT-proBNP > 3100
(n = 95, 61%)(n = 17, 11%)(n = 24, 15%)(n = 20, 13%)
Male55 (58%)11 (65%)19 (79%)14 (70%)0.240
Age71 ± 1269 ± 1076 ± 1273 ± 150.309
Hypertension73 (77%)10 (59%)18 (75%)14 (70%)0.471
Diabetes38 (40%)7 (41%)11 (46%)8 (40%)0.964
Dyslipidemia46 (48%)5 (29%)11 (46%)7 (35%)0.406
Atrial fibrillation47 (49%)9 (53%)17 (71%)11 (55%)0.316
NYHA class II85 (89%)7 (41%)13 (54%)11 (55%)< 0.001
NYHA class III10 (11%)10 (59%)11 (46%)9 (45%)< 0.001
HF Etiology
Hypertension26 (27%)1 (6%)5 (21%)3 (15%)0.212
Ischemic heart disease30 (32%)7 (41%)8 (33%)9 (45%)0.641
Dilated cardiomyopathy8 (8%)2 (12%)1 (4%)2 (10%)0.768
Valve heart disease15 (16%)5 (29%)4 (17%)5 (25%)0.439
Congenital0 (0%)1 (6%)1 (4%)1 (5%)0.058
Others16 (17%)1 (6%)5 (21%)0 (0%)0.110
Systolic BP (mmHg)129 ± 18118 ± 20119 ± 21114 ± 120.001
Diastolic BP (mmHg)74 ± 1267 ± 873 ± 1471 ± 90.156
LVEF (%)51 ± 1646 ± 1646 ± 2238 ± 180.015
LVDD (mm)54 ± 852 ± 956 ± 1357 ± 110.290
LAD (mm)49 ± 949 ± 951 ± 954 ± 120.184
IVS (mm)12 ± 312 ± 213 ± 311 ± 30.158
LVPW (mm)11 ± 210 ± 211 ± 210 ± 20.461
Na+ (mEq/dL)140 ± 3138 ± 4140 ± 4139 ± 50.227
K+ (mEq/dL)4.2 ± 0.54.3 ± 0.64.4 ± 0.74.2 ± 0.50.453
GF (mL/min per 1.73 m2)61 ± 2062 ± 1649 ± 2253 ± 200.029
Hemoglobin (g/dL)131 ± 20118 ± 25126 ± 21129 ± 240.111
RESULTS
Baseline clinical characteristics

The mean age of the studied population was 72 ± 12 years; 63% were male. Clinical characteristics of the studied population and HF treatments according to the specified 4 groups are shown in Table 1. Mean ejection fraction was 48% ± 17%, and half (77) of the patients had preserved ejection fraction. Ischemic heart disease was the most frequent etiology of HF, followed by hypertension and valve disease. The percentage of patients with HFrEF treated with ACEI/ARB was 85%, with beta-blockers 76% and with mineral corticoid receptor antagonists 56%, while in the HFpEF group the percentage of patients treated with ACEI/ARB was 69%, with beta-blockers 42% and with mineral corticoid receptor antagonists 39%. The percentage of patients treated with furosemide was similar in both groups, 84%.

Outcomes

No patient was lost during the mean follow-up of 17 ± 8 mo (range 2 to 32 mo). Monitoring of patients was blinded to CA125 values. During follow-up, 27 patients died (17%), and 1 had progressive HF deterioration requiring urgent heart transplantation at one year. All 27 deaths were due to cardiovascular causes, 23 (85%) of them to progressive HF (3 of which required hospital admission for decompensated HF) and 3 to cerebrovascular accident. The remaining patient had a diagnosis of ischemic heart disease and was lost to sudden death while being treated with chemotherapy for rectal cancer that appeared during follow-up. Mortality was similar for women (19%) and men (18%). There was a high incidence of worsening, new HF episodes: 106 patients required an admission for decompensated HF (68%), and nearly half (50 patients) were admitted more than once for HF during follow-up.

Prognostic implications of CA125

Older age, increased ventricular septum thickness and left atrial diameter, low eGFR and hemoglobin concentration, higher CA125 and NT-proBNP levels, the presence of atrial fibrillation, and worse NYHA functional class were all associated with mortality or need for urgent heart transplantation by univariate analyses (Table 2). Hospitalization for worsening HF was associated with low eGFR, higher CA125 and NT-proBNP values, presence of atrial fibrillation, and worse NYHA functional class by univariate analyses (Table 3). Patients who died and those who required admission for decompensated HF had significantly lower eGFR, had higher CA125 and NT-proBNP, and more frequently had atrial fibrillation and NYHA functional class III. In univariate analyses, ln-CA125 was positively associated with ln-NT-proBNP (β = 0.39, P = 0.0001) and negatively with left ventricular ejection fraction (β = -0.23, P = 0.003) and sodium concentration (β = -0.24, P = 0.003). There was no relationship between ln-CA125 and eGFR or hemoglobin. The receiver operating characteristic curve analysis showed similar values for CA125 and NT-proBNP; the AUC for mortality prediction was 0.699 (95%CI: 0.59-0.80) for CA125 and 0.710 (95%CI: 0.59-0.82) for NT-proBNP.

Table 2 Univariate analysis, variables significantly associated with mortality or need for urgent cardiac transplantation.
VariableDeathsAliveP
Age78 ± 1270 ± 120.004
LVEF (%)53 ± 1647 ± 170.08
IVS (mm)13.7 ± 3.411.9 ± 2.50.005
LA (mm)54 ± 1249 ± 90.01
GF (MDRD)46 ± 1861 ± 190.0001
Hemoglobin (g/L)121 ± 21130 ± 210.02
Na+ (mEq/mL)140 ± 4139 ± 30.54
K+ (mEq/mL)4.3 ± 0.64.2 ± 0.50.54
Systolic BP (mmHg)120 ± 19125 ± 190.24
Diastolic BP (mmHg)70 ± 1273 ± 120.25
CA125 (KU/L)94 ± 12145 ± 780.01
NT-proBNP (pg/dL)6613 ± 84372326 ± 28230.02
AF (%)71500.05
NYHA class III (%)70300.03
Table 3 Univariate analysis, variables significantly associated with need for hospitalization for decompensated heart failure.
HospitalizationNo hospitalizationP
LVEF (%)48 ± 1849 ± 170.7
IVS (mm)12 ± 311 ± 30.14
LA (mm)50 ± 948 ± 100.15
GF (MDRD)56 ± 1964 ± 210.01
Hemoglobin (g/L)127 ± 22132 ± 200.16
Na+ (mEq/mL)139 ± 3.7140 ± 3.60.4
K+ (mEq/mL)4.2 ± 0.54.3 ± 0.60.3
Systolic BP (mmHg)124 ± 18125 ± 200.9
Diastolic BP (mmHg)73 ± 1172 ± 130.7
CA125 (KU/L)58 ± 8534 ± 610.01
NT-proBNP (pg/dL)3431 ± 47922031 ± 32340.03
AF (%)61390.01
NYHA class III (%)9730.0001

The relationship between CA125 and outcomes was evaluated in multivariate Cox proportional analyses. Cox-model 1 identified NT-proBNP ≥ 3100 ng/L and Cox-model 2 identified CA125 ≥ 60 KU/L as independent predictors of mortality (Table 4). Two Cox models were compared to test improvement in risk stratification: Cox-model 1 (adjusted model with NT-proBNP ≥ 3100 ng/L) vs Cox-model 3 (adjusted model with 4 groups according to the cut-off concentrations of CA125 and NT-proBNP). Cox-model 1 had good discriminative ability (Harrell’s C-statistic = 0.774), and Cox-model 3 had slightly better discriminative ability (Harrell’s C-statistic = 0.777) and good calibration ability (P = 0.39, Gronnesby and Borgan test). However, the C-statistic is not sensitive to changes when a new factor is included in a model. Therefore, when we compared Cox-model 1 vs Cox-model 3 by the IDI index, the discrimination slope of the Cox-model 3 was 4 percentage points higher than model 1 (P < 0.05). Survival curves adjusted by propensity scores from Cox-model 3 (Figure 1) showed risk stratification when HF patients were classified into the 4 groups defined by NT-ProBNP and CA125 cut-offs. Patients with both biomarkers elevated presented the worst survival.

Figure 1
Figure 1 Kaplan-Meier survival curves in the 4 groups defined by N-terminal pro-brain natriuretic peptide < or ≥ 3100 ng/L and carbohydrate antigen 125 < or ≥ 60 KU/L. Patients with both biomarkers elevated presented the worst survival. CA125: Carbohydrate antigen 125; NT-proBNP: N-terminal pro-B-type natriuretic peptide.
Table 4 Multivariate analysis for global mortality.
HR95%CISig
Cox-model 1 variable
NT-proBNP (3100 ng/L)4.952.11-11.62< 0.001
Cox-model 2 variable
CA125 (60 KU/L)3.321.50-7.370.003
Cox-model 2 variable
CA125 < 60 NT-proBNP < 31001
CA125 > 60 NT-proBNP < 31002.490.65-9.530.18
CA125 < 60 NT-proBNP > 31004.151.41-12.24< 0.01
CA125 > 60 NT-proBNP > 31008.953.11-25.73< 0.001
DISCUSSION

In our study, a concentration of CA125 > 60 KU/L was identified as an independent predictor of mortality or of the need for urgent heart transplantation at mid-term follow-up. This biomarker also added prognostic information beyond that provided by NT-proBNP concentration. Patients with NT-proBNP ≥ 3100 ng/L and CA125 ≥ 60 KU/L had extremely low survival during follow-up.

CA125 and HF

CA125 is a cancer marker that can be synthesized in mesothelial cells from the peritoneum and pleura[30]. CA125 concentration is increased in patients with pericardial, pleural, and peritoneal effusions[30]. Increased CA125 concentration in patients with HF is believed to be multifactorial and secondary to the increased end-diastolic and pulmonary venocapillary pressure that causes interstitial pulmonary edema[31], an inflammatory substrate present in HF. In addition, the appearance of pleural effusion and signs of congestion have been associated with increased CA125[32].

The good correlation of CA125 with natriuretic peptides suggests a similar release mechanism related to an increase in intracavitary pressures and stress of both atrial and ventricular walls. It has also been suggested that mesothelial cells can secrete CA125 in response to activation of cytokines. Thus, the activation of either TNF-alpha or interleukin-6 has been associated with elevated CA125, and the increase of these cytokines correlates with the severity of HF[7,18]. It has been suggested that increased CA125 can be a sign of both congestion and inflammation; both parameters have been associated with poor prognosis in HF patients. Furthermore, due to the long half-life of CA125 (about 12 d) it can be used as an indirect marker of fluid retention in the weeks preceding blood extraction, in both acute and chronic HF. Especially in patients with stable HF, CA125 ≥ 60 KU/L can be an early sign of congestion that would identify patients with worse prognosis.

Previous studies

Numerous studies have examined the value of natriuretic peptides to assess the prognosis of HF[33-36], most of them performed in the emergency room or in patients with acute decompensated HF requiring hospitalization. Few of the studies focus on stable chronic HF[37,38]. Earlier studies in acute HF patients associated increased CA125 with worse NYHA functional class, greater left atrial size, higher BNP, and poor prognosis at 6 mo follow-up[19,20,22]. A recent study by Ordu et al[37] reports that increased CA125 and NT-proBNP were similar in their capacity to predict prognosis in patients with stable HF[38]. Although our population differed from theirs, which included only patients with systolic dysfunction and elevated NT-proBNP, the CA125 concentrations were similar in both studies. Our patients were better controlled, with higher proportions receiving ACEI/ARB, beta-blockers and spironolactone therapy. Both studies report a significant correlation between CA125 and NT-proBNP. However, Ordu et al[37] used a higher NT-proBNP cut-off value for patient stratification than previous studies[11,15]. It is possible that with this high cut-off value the addition of CA125 did not improve upon the predictive value obtained with only NT-proBNP. However, lower NT-proBNP is frequently found in stable HF patients. In our study, CA125 ≥ 60 KU/L added prognostic information to that obtained from the ≥ 3100 ng/L NT-proBNP cut-off. In fact, when both biomarkers were elevated, the prognosis was very poor. In another recent study performed in stable patients with left ventricular dysfunction, a value of CA125 ≥ 60 KU/L was associated with an increased risk of cardiovascular death and hospitalization for HF[22]. Our study did not select patients according to the degree of left ventricular dysfunction; all patients diagnosed with HF were included. A high level of CA125 allowed the identification of patients with worse prognosis independently of their ejection fraction. This is important because almost half of all patients diagnosed with HF in the majority of epidemiological studies have preserved ejection fraction[39]. Furthermore, new biomarkers are under development to improve diagnosis and prognosis assessment in HF. Recently, experimental studies have suggested that changes in circulating microRNAs can be used as a biomarker of disease[40,41]. However, these new molecular markers are still under investigation, On the contrary, more than 10 years of experience with natriuretic peptides and CA125 have already been reported[12,20].

Although the value of natriuretic peptides for the diagnosis of HF has been widely demonstrated, its usefulness to assess prognosis in some cases remains controversial. Thus, in advanced HF, there is controversy whether BNP concentration helps identify patients requiring heart transplantation[42,43]. Similarly, in asymptomatic individuals with HF and those in pre-HF stages, NT-proBNP failed to predict the patients who presented with clinical HF during follow-up[44]. Other limitations to the use of natriuretic peptides exist, particularly with NT-proBNP since cut-off points for assessing prognosis have not been clearly established. Therefore, the addition of CA125 may help to improve prognosis assessment in patients with stable HF.

Limitations

In this study the inclusion criterion was the diagnosis of HF. The predictive value of CA125 possibly could have been even greater if left ventricular dysfunction had been a selection criterion. Although the cohort was relatively small, mortality and hospitalization rates were similar to previous studies analyzing stable HF patients. When the study population was divided according to CA125 and NT-proBNP values, some subgroups were quite small. Nonetheless, increased CA125 concentration was effective in identifying stable HF patients at high risk of death and new admissions for worsening HF, and despite having a relatively small sample size the results are consistent with those obtained in previous studies in acute HF.

In conclusion, CA125 is an excellent marker of prognosis in patients with stable HF. CA125 ≥ 60 KU/L identified patients at high risk of death or need for urgent heart transplantation. CA125 added prognostic information to the predictive value of NT-proBNP. Its easy determination and low cost may encourage its expanded use.

ACKNOWLEDGMENTS

The authors are especially grateful to Elaine Lilly, Ph.D. for English language revision of the manuscript.

COMMENTS
Background

Heart failure (HF) is the final phase of many heart diseases. The estimated prevalence is up to 3% in the European population. This prevalence increases exponentially with age. As the main cause of hospitalization, in patients over 65, HF is also associated with high costs. Despite recent advances in treatment, mortality is still high (12% per year) in stable patients, and there is a high rate of hospital readmissions due to worsening HF. Even though a high number of clinical parameters have been associated with poor outcome in patients with stable HF, the assessment of prognosis is still a challenge.

Research frontiers

Several biomarkers have been used to assess the prognosis of patients with HF. Although the natriuretic peptides are considered the most widely used biomarkers, they still have some limitations. Increased concentrations of natriuretic peptides have been associated with worse prognosis in patients hospitalized for worsening HF. However, its utility to identify patients at high risk of death in stable HF has been less studied. Furthermore, although new molecular biomarkers are under development to improve prognosis assessment in HF, they are not ready for clinical use. On the other hand, more than 10 years of experience with natriuretic peptides and carbohydrate antigen 125 (CA125) have already been reported.

Innovations and breakthroughs

This study provides the results of a clinical investigation demonstrating that the combination of two well-known biomarkers, CA125 and N-terminal pro-brain natriuretic peptide (NT-proBNP), is useful to select patients with stable HF and poor outcome. CA125 concentration, when added to NT-proBNP, provides relevant prognostic information.

Applications

CA125 concentration can be routinely added to NT-proBNP assessment in stable HF patients, at a low cost, to identify patients at high risk of death or a worsening HF episode.

Terminology

CA125 is a biomarker previously used in the detection and monitoring of some cancers. It is a high-molecular-weight glycoprotein synthesized by epithelial cells of the serosa when there is inflammation and increased interstitial fluid. Elevated CA125 has also been found in patients with HF, with or without fluid retention.

Peer review

The authors report on the prognostic valve of CA125 in patients with stable chronic HF. This biomarker has proven its validity in previous studies, in this manuscript has additive value, due to the combination of the new biomarker with the established brain natriuretic peptide-value.

Footnotes

P- Reviewers: Deshpande SR, Ghanem A, Panduranga P, Santulli G S- Editor: Song XX L- Editor: A E- Editor: Liu SQ

References
1.  Heidenreich PA, Sahay A, Kapoor JR, Pham MX, Massie B. Divergent trends in survival and readmission following a hospitalization for heart failure in the Veterans Affairs health care system 2002 to 2006. J Am Coll Cardiol. 2010;56:362-368.  [PubMed]  [DOI]  [Cited in This Article: ]
2.  Santulli G. Epidemiology of Cardiovascular Disease in the 21 century: update numbers and update facts. J Cardiovas Dis. 2013;1:1-2.  [PubMed]  [DOI]  [Cited in This Article: ]
3.  Cleland JG, Khand A, Clark A. The heart failure epidemic: exactly how big is it? Eur Heart J. 2001;22:623-626.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 205]  [Cited by in F6Publishing: 190]  [Article Influence: 8.3]  [Reference Citation Analysis (0)]
4.  Adams KF, Fonarow GC, Emerman CL, LeJemtel TH, Costanzo MR, Abraham WT, Berkowitz RL, Galvao M, Horton DP. 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;149:209-216.  [PubMed]  [DOI]  [Cited in This Article: ]
5.  Santulli G. Coronary heart disease risk factors and mortality. JAMA. 2012;307:1137; author reply 1138.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 36]  [Cited by in F6Publishing: 40]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
6.  Ather S, Chan W, Chillar A, Aguilar D, Pritchett AM, Ramasubbu K, Wehrens XH, Deswal A, Bozkurt B. Association of systolic blood pressure with mortality in patients with heart failure with reduced ejection fraction: a complex relationship. Am Heart J. 2011;161:567-573.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 44]  [Cited by in F6Publishing: 38]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
7.  Orús J, Roig E, Perez-Villa F, Paré C, Azqueta M, Filella X, Heras M, Sanz G. Prognostic value of serum cytokines in patients with congestive heart failure. J Heart Lung Transplant. 2000;19:419-425.  [PubMed]  [DOI]  [Cited in This Article: ]
8.  Bettencourt P, Azevedo A, Pimenta J, Friões F, Ferreira S, Ferreira A. N-terminal-pro-brain natriuretic peptide predicts outcome after hospital discharge in heart failure patients. Circulation. 2004;110:2168-2174.  [PubMed]  [DOI]  [Cited in This Article: ]
9.  Bartunek J. Biomarkers for coronary artery disease: mission impossible? Biomark Med. 2010;4:339-340.  [PubMed]  [DOI]  [Cited in This Article: ]
10.  Kalogeropoulos A, Georgiopoulou V, Psaty BM, Rodondi N, Smith AL, Harrison DG, Liu Y, Hoffmann U, Bauer DC, Newman AB. 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.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 302]  [Cited by in F6Publishing: 347]  [Article Influence: 24.8]  [Reference Citation Analysis (0)]
11.  Bayes-Genis A, de Antonio M, Galán A, Sanz H, Urrutia A, Cabanes R, Cano L, González B, Díez C, Pascual T. Combined use of high-sensitivity ST2 and NTproBNP to improve the prediction of death in heart failure. Eur J Heart Fail. 2012;14:32-38.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 2]  [Reference Citation Analysis (0)]
12.  Maisel AS, Krishnaswamy P, Nowak RM, McCord J, Hollander JE, Duc P, Omland T, Storrow AB, Abraham WT, Wu AH. Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure. N Engl J Med. 2002;347:161-167.  [PubMed]  [DOI]  [Cited in This Article: ]
13.  Bayés-Genís A, Santaló-Bel M, Zapico-Muñiz E, López L, Cotes C, Bellido J, Leta R, Casan P, Ordóñez-Llanos J. N-terminal probrain natriuretic peptide (NT-proBNP) in the emergency diagnosis and in-hospital monitoring of patients with dyspnoea and ventricular dysfunction. Eur J Heart Fail. 2004;6:301-308.  [PubMed]  [DOI]  [Cited in This Article: ]
14.  Maisel A, Hollander JE, Guss D, McCullough P, Nowak R, Green G, Saltzberg M, Ellison SR, Bhalla MA, Bhalla V. Primary results of the Rapid Emergency Department Heart Failure Outpatient Trial (REDHOT). A multicenter study of B-type natriuretic peptide levels, emergency department decision making, and outcomes in patients presenting with shortness of breath. J Am Coll Cardiol. 2004;44:1328-1333.  [PubMed]  [DOI]  [Cited in This Article: ]
15.  Januzzi JL, Camargo CA, Anwaruddin S, Baggish AL, Chen AA, Krauser DG, Tung R, Cameron R, Nagurney JT, Chae CU. The N-terminal Pro-BNP investigation of dyspnea in the emergency department (PRIDE) study. Am J Cardiol. 2005;95:948-954.  [PubMed]  [DOI]  [Cited in This Article: ]
16.  O’Brien TJ, Tanimoto H, Konishi I, Gee M. More than 15 years of CA 125: what is known about the antigen, its structure and its function. Int J Biol Markers. 1998;13:188-195.  [PubMed]  [DOI]  [Cited in This Article: ]
17.  Yilmaz MB, Nikolaou M, Cohen Solal A. Tumour biomarkers in heart failure: is there a role for CA-125? Eur J Heart Fail. 2011;13:579-583.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 22]  [Cited by in F6Publishing: 25]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
18.  Kosar F, Aksoy Y, Ozguntekin G, Ozerol I, Varol E. Relationship between cytokines and tumour markers in patients with chronic heart failure. Eur J Heart Fail. 2006;8:270-274.  [PubMed]  [DOI]  [Cited in This Article: ]
19.  Núñez J, Núñez E, Consuegra L, Sanchis J, Bodí V, Martínez-Brotons A, Bertomeu-González V, Robles R, Bosch MJ, Fácila L. Carbohydrate antigen 125: an emerging prognostic risk factor in acute heart failure? Heart. 2007;93:716-721.  [PubMed]  [DOI]  [Cited in This Article: ]
20.  D’Aloia A, Faggiano P, Aurigemma G, Bontempi L, Ruggeri G, Metra M, Nodari S, Dei Cas L. Serum levels of carbohydrate antigen 125 in patients with chronic heart failure: relation to clinical severity, hemodynamic and Doppler echocardiographic abnormalities, and short-term prognosis. J Am Coll Cardiol. 2003;41:1805-1811.  [PubMed]  [DOI]  [Cited in This Article: ]
21.  Duman D, Palit F, Simsek E, Bilgehan K. Serum carbohydrate antigen 125 levels in advanced heart failure: relation to B-type natriuretic peptide and left atrial volume. Eur J Heart Fail. 2008;10:556-559.  [PubMed]  [DOI]  [Cited in This Article: ]
22.  Núñez J, Sanchis J, Bodí V, Fonarow GC, Núñez E, Bertomeu-González V, Miñana G, Consuegra L, Bosch MJ, Carratalá A. Improvement in risk stratification with the combination of the tumour marker antigen carbohydrate 125 and brain natriuretic peptide in patients with acute heart failure. Eur Heart J. 2010;31:1752-1763.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 93]  [Cited by in F6Publishing: 99]  [Article Influence: 7.1]  [Reference Citation Analysis (0)]
23.  Vizzardi E, Nodari S, D’Aloia A, Chiari E, Faggiano P, Metra M, Dei Cas L. CA 125 tumoral marker plasma levels relate to systolic and diastolic ventricular function and to the clinical status of patients with chronic heart failure. Echocardiography. 2008;25:955-960.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 1]  [Reference Citation Analysis (0)]
24.  McMurray JJ, Adamopoulos S, Anker SD, Auricchio A, Böhm M, Dickstein K, Falk V, Filippatos G, Fonseca C, Gomez-Sanchez MA. 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 J Heart Fail. 2012;14:803-869.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1591]  [Cited by in F6Publishing: 1818]  [Article Influence: 181.8]  [Reference Citation Analysis (1)]
25.  Nguyen PK, Schnittger I, Heidenreich PA. A comparison of echocardiographic measures of diastolic function for predicting all-cause mortality in a predominantly male population. Am Heart J. 2011;161:530-537.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 4]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
26.  Pattanayak CW, Rubin DB, Zell ER. [Propensity score methods for creating covariate balance in observational studies]. Rev Esp Cardiol. 2011;64:897-903.  [PubMed]  [DOI]  [Cited in This Article: ]
27.  Núñez E, Steyerberg EW, Núñez J. [Regression modeling strategies]. Rev Esp Cardiol. 2011;64:501-507.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 93]  [Cited by in F6Publishing: 132]  [Article Influence: 10.2]  [Reference Citation Analysis (0)]
28.  Pencina MJ, D’Agostino RB, D’Agostino RB, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27:157-172; discussion 207-212.  [PubMed]  [DOI]  [Cited in This Article: ]
29.  May S, Hosmer DW. Hosmer and Lemeshow type goodness-of-fit statistics for the Cox proportional hazards model. Advances in Survival Analysis. 2003;23:383-394.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 12]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
30.  Epiney M, Bertossa C, Weil A, Campana A, Bischof P. CA125 production by the peritoneum: in-vitro and in-vivo studies. Hum Reprod. 2000;15:1261-1265.  [PubMed]  [DOI]  [Cited in This Article: ]
31.  Sevinc A, Buyukberber S, Sari R, Kiroglu Y, Turk HM, Ates M. Elevated serum CA-125 levels in hemodialysis patients with peritoneal, pleural, or pericardial fluids. Gynecol Oncol. 2000;77:254-257.  [PubMed]  [DOI]  [Cited in This Article: ]
32.  Turk HM, Pekdemir H, Buyukberber S, Sevinc A, Camci C, Kocabas R, Tarakcioglu M, Buyukberber NM. Serum CA 125 levels in patients with chronic heart failure and accompanying pleural fluid. Tumour Biol. 2003;24:172-175.  [PubMed]  [DOI]  [Cited in This Article: ]
33.  Pascual-Figal DA, Domingo M, Casas T, Gich I, Ordoñez-Llanos J, Martínez P, Cinca J, Valdés M, Januzzi JL, Bayes-Genis A. Usefulness of clinical and NT-proBNP monitoring for prognostic guidance in destabilized heart failure outpatients. Eur Heart J. 2008;29:1011-1018.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 59]  [Cited by in F6Publishing: 62]  [Article Influence: 3.9]  [Reference Citation Analysis (0)]
34.  Tang WH. Biomarkers of risk stratification in congestive heart failure: North American view. Biomark Med. 2009;3:443-452.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 1]  [Reference Citation Analysis (0)]
35.  Bayes-Genis A, Vazquez R, Puig T, Fernandez-Palomeque C, Fabregat J, Bardají A, Pascual-Figal D, Ordoñez-Llanos J, Valdes M, Gabarrús A. Left atrial enlargement and NT-proBNP as predictors of sudden cardiac death in patients with heart failure. Eur J Heart Fail. 2007;9:802-807.  [PubMed]  [DOI]  [Cited in This Article: ]
36.  Berger R, Huelsman M, Strecker K, Bojic A, Moser P, Stanek B, Pacher R. B-type natriuretic peptide predicts sudden death in patients with chronic heart failure. Circulation. 2002;105:2392-2397.  [PubMed]  [DOI]  [Cited in This Article: ]
37.  Ordu S, Ozhan H, Alemdar R, Aydin M, Caglar O, Yuksel H, Kandis H. Carbohydrate antigen-125 and N-terminal pro-brain natriuretic peptide levels: compared in heart-failure prognostication. Tex Heart Inst J. 2012;39:30-35.  [PubMed]  [DOI]  [Cited in This Article: ]
38.  Vizzardi E, D’Aloia A, Pezzali N, Bugatti S, Curnis A, Dei Cas L. Long-term prognostic value of CA 125 serum levels in mild to moderate heart failure patients. J Card Fail. 2012;18:68-73.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 13]  [Cited by in F6Publishing: 14]  [Article Influence: 1.1]  [Reference Citation Analysis (0)]
39.  Yancy CW, Lopatin M, Stevenson LW, De Marco T, Fonarow GC. Clinical presentation, management, and in-hospital outcomes of patients admitted with acute decompensated heart failure with preserved systolic function: a report from the Acute Decompensated Heart Failure National Registry (ADHERE) Database. J Am Coll Cardiol. 2006;47:76-84.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 688]  [Cited by in F6Publishing: 716]  [Article Influence: 37.7]  [Reference Citation Analysis (0)]
40.  Dickinson BA, Semus HM, Montgomery RL, Stack C, Latimer PA, Lewton SM, Lynch JM, Hullinger TG, Seto AG, van Rooij E. Plasma microRNAs serve as biomarkers of therapeutic efficacy and disease progression in hypertension-induced heart failure. Eur J Heart Fail. 2013;15:650-659.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 114]  [Cited by in F6Publishing: 125]  [Article Influence: 11.4]  [Reference Citation Analysis (0)]
41.  Santulli G, Campanile A, Spinelli L, Assante di Panzillo E, Ciccarelli M, Trimarco B, Iaccarino G. G protein-coupled receptor kinase 2 in patients with acute myocardial infarction. Am J Cardiol. 2011;107:1125-1130.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 48]  [Cited by in F6Publishing: 57]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
42.  Pirracchio R, Salem R, Mebazaa A. Use of B-type natriuretic peptide in critically ill patients. Biomark Med. 2009;3:541-547.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 12]  [Article Influence: 0.9]  [Reference Citation Analysis (0)]
43.  Vidal B, Roig E, Pérez-Villa F, Orús J, Pérez J, Jiménez V, Leivas A, Cuppoletti A, Roqué M, Sanz G. [Prognostic value of cytokines and neurohormones in severe heart failure]. Rev Esp Cardiol. 2002;55:481-486.  [PubMed]  [DOI]  [Cited in This Article: ]
44.  McKie PM, Cataliotti A, Lahr BD, Martin FL, Redfield MM, Bailey KR, Rodeheffer RJ, Burnett JC. The prognostic value of N-terminal pro-B-type natriuretic peptide for death and cardiovascular events in healthy normal and stage A/B heart failure subjects. J Am Coll Cardiol. 2010;55:2140-2147.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 91]  [Cited by in F6Publishing: 139]  [Article Influence: 9.9]  [Reference Citation Analysis (0)]