Publish in this journal
Journal Information
Vol. 64. Issue 12.
Pages 1100-1108 (December 2011)
Vol. 64. Issue 12.
Pages 1100-1108 (December 2011)
Full text access
Benefits of Statin Therapy Based on Plasma Carbohydrate Antigen 125 Values Following an Admission for Acute Heart Failure
Beneficios del tratamiento con estatinas según los valores plasmáticos del antígeno carbohidrato 125 tras un ingreso por insuficiencia cardiaca aguda
Julio Núñeza,
Corresponding author

Corresponding author: Servicio de Cardiología, Hospital Clínico Universitario, Avda. Blasco Ibáñez 17, 46010 Valencia, Spain.
, Juan Sanchisa, Eduardo Núñeza, Gregg C. Fonarowb, Vicent Bodía, Vicente Bertomeu-Gonzálezc, Gema Miñanaa, Patricia Palaua, Lorenzo Fácilad, Francisco J. Chorroa, Vicente Bertomeu-Martínezc, Angel Llàcera
a Servicio de Cardiología, Hospital Clínico Universitario, INCLIVA, Universitat de Valencia, Valencia, Spain
b UCLA Division of Cardiology, Ahmanson-UCLA Cardiomyopathy Center, Los Angeles, California, United States
c Servicio de Cardiología, Hospital Universitario de San Juan de Alicante, Sant Joan d’Alacant, Alicante, Spain
d Servicio de Cardiología, Hospital Provincial de Castellón, Castellón de la Plana, Spain
This item has received
Article information
Full Text
Download PDF
Figures (3)
Show moreShow less
Additional material (1)
Introduction and objectives

The prognostic benefit of statins in patients with heart failure is a topic of controversy. Under the hypothesis that statins may provide greater benefit in a subgroup of patients with heightened inflammatory activity, we sought to explore whether statins are associated with a decreased risk of long-term mortality in patients with acute heart failure based on elevated levels of carbohydrate antigen 125, a biomarker related to systemic congestion and proinflammatory status.


We analysed 1222 consecutive patients admitted with acute heart failure in a single teaching center during a median follow-up of 20 months. Carbohydrate antigen 125 was measured during index hospitalization and dichotomized according to the established reference cut-off (>35 U/mL).


Increased levels of carbohydrate antigen 125 (>35 U/mL) were observed in 793 (64.9%) and prescription of statins registered in 455 (37.2%) patients. In patients with carbohydrate antigen 125 >35 U/mL, mortality was lower in statin-treated patients (1.89 vs 2.80 per 10 patient-years of follow-up, P<.001). Conversely, in those with carbohydrate antigen 125 in normal range, mortality did not differ (1.76 vs 1.63 per 10 patient-years of follow-up, P=.862). After covariate adjustment, this differential effect persisted (P for interaction=.024) and statin use was associated with a significant mortality reduction in patients with elevated values of carbohydrate antigen 125 (hazard ratio=0.65, 95% confidence interval: 0.51-0.82; P<.001), but not in those with values equal to or below 35 U/mL (hazard ratio=1.02, 95% confidence interval: 0.74-1.41; P=.907).


Elevation of carbohydrate antigen 125 (>35 U/mL) identified a subset of patients with acute heart failure who could benefit from statin treatment in regard to total mortality.

Statin treatment
Carbohydrate antigen 125
Heart failure
Introducción y objetivos

La utilidad de las estatinas en pacientes con insuficiencia cardiaca es motivo de controversia. Bajo la hipótesis de que el tratamiento con estatinas sería útil en los pacientes con insuficiencia cardiaca y mayor actividad inmunoinflamatoria, pretendimos conocer si la elevación del antígeno carbohidrato 125, un biomarcador asociado a la congestión sistémica y actividad inflamatoria, identificaría a los que se beneficiarían, en cuanto a mortalidad, del tratamiento con estatinas tras un ingreso por insuficiencia cardiaca aguda.


Analizamos a 1.222 pacientes consecutivos ingresados por insuficiencia cardiaca aguda. El antígeno carbohidrato 125 se determinó durante el ingreso hospitalario y se dicotomizó según los valores de referencia (> 35 U/ml).


Se observaron valores elevados del antígeno carbohidrato 125 en 793 pacientes (64,9%) y a 455 (37,2%) se les prescribió estatinas. Entre los pacientes con antígeno carbohidrato 125>35 U/ml, la mortalidad de los tratados con estatinas fue inferior (1,89 frente a 2,80/10 pacientes-año de seguimiento; p<0,001). Por el contrario, la mortalidad de aquellos con valores de antígeno carbohidrato 125 ≤ 35 U/ml fue similar (1,76 frente a 1,63/10 pacientes-años de seguimiento; p=0,862). Tras un minucioso ajuste multivariable, este efecto diferencial atribuible al tratamiento con estatinas persistió (para la interacción, p=0,024). Así, el tratamiento con estatinas se asoció con una reducción significativa del riesgo de muerte de los sujetos con antígeno carbohidrato 125>35 U/ml (hazard ratio=0,65; intervalo de confianza del 95%, 0,51-0,82; p<0,001); sin embargo, no fue así en aquellos con valores de antígeno carbohidrato 125 ≤ 35 U/ml (hazard ratio=1,02; intervalo de confianza del 95%, 0,74-1,41; p=0,907).


La elevación plasmática del antígeno carbohidrato 125 identificó un subgrupo de población que podría beneficiarse del tratamiento con estatinas en términos de mortalidad a largo plazo.

Palabras clave:
Antígeno carbohidrato 125
Insuficiencia cardiaca
Full Text

Inflammation is a key pathogenic process associated with the progression of heart failure (HF).1 The pleiotropic anti-inflammatory properties of statins appear to be an attractive feature for targeting the inflammatory component in patients with advanced HF.2 In contrast to large-scale observational studies that have shown a reduction in clinical outcomes in patients with HF and treated with statins,3, 4, 5 two recent randomized controlled trials of statins in HF failed to demonstrate any survival benefit.6, 7 Nevertheless, a post hoc analysis of the CORONA trial showed decreased mortality with rosuvastatin in patients exhibiting high inflammatory activity as measured by serum C-reactive protein (CRP) (>2mg/dL).8.

Accumulated evidence has pointed to carbohydrate antigen 125 (CA125) as a reliable marker for congestion and inflammation in patients with acute heart failure (AHF)9, 10, 11, 12 and as being independently associated to all-cause and cardiovascular mortality.11, 12 The fact that serum levels of CA125 have shown to be very reliable over time12, 13 has led to postulating this biomarker as an ideal candidate for measuring the degree of inflammation in AHF. Thus, and assuming that patients with AHF and high CA125 levels (>35 U/mL) represent a subset of patients with elevated inflammatory activity, we sought to evaluate whether statin treatment following an episode of AHF has differential prognostic effect in terms of total and cardiovascular mortality according to CA125 categories.

METHODS Study Group and Protocol

We prospectively studied a cohort of 1222 patients consecutively admitted to the cardiology department of a third level center from January 1, 2004 to November 1, 2009 with the diagnosis of AHF as defined by current guidelines.14, 15, 16 By design, patients who died before CA125 measurement were excluded from this analysis (n=21). In addition, patients with a primary diagnosis of acute coronary syndrome (n=20), cancer (n=18), pneumonia (n=16), sepsis (n=8), severe hepatic disease (n=1), or end-stage renal disease undergoing dialysis treatment were also excluded (n=3).

Demographic information, medical history, vital signs, 12-lead electrocardiogram, laboratory data, and drug utilization were routinely determined on admission and throughout the hospital course, using pre-established registry questionnaires. All patients received intravenous treatment with furosemide for at least the first 48h after admission. Left ventricular ejection fraction (LVEF) was assessed through echocardiography (Agilent Sonos 5500-Phillips) during index hospitalization. Treatment with angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, beta-blockers, aldosterone antagonist, anticoagulants, diuretics, and other therapeutic strategies was individualized following established guidelines in force at the time of recruitment.14, 15, 16 The statin treatment decision was made at the discretion of the cardiologist in charge of the patient and was not influenced nor guided by CA125 values.

Patients were followed until death, and censored if lost to follow-up or by having undergone valve replacement or cardiac transplantation. All-cause mortality was selected as the main endpoint and cardiovascular mortality as a secondary one. The information regarding cause of death was extracted from the patient's clinical chart and adjudicated by an investigator blinded to patients’ treatment and CA125 values. Once identified, the cause of death was categorized following the classification used by the American Heart Association.17 Deaths were considered non-cardiovascular in origin if a specific non-cardiovascular cause was identified as the main trigger for the event. Otherwise, cardiovascular etiology was considered and included sudden death, progressive HF death, other cardiovascular causes, and unknown cause of death. Sudden death was defined as an event that occurred unexpectedly in an otherwise stable patient and progressive HF death as occurring in the setting of clinical progressive deterioration of HF symptoms. For the present study, deaths occurring outside the hospital were assumed to be cardiovascular in origin, whether information about the circumstances surrounding the death was provided by family members or by reviewing outpatient charts. This study conforms with the principles outlined in the Declaration of Helsinki, was approved by an institutional review committee, and patients gave informed consent.

Carbohydrate Antigen 125 Measurements

CA125 was measured during the patient's hospitalization (72±12h after admission) using commercially available immunoassay kits (Elecsys CA125 II assay-Roche Diagnostics).

Statin Treatment

Patients were considered taking statins if they were prescribed at hospital discharge or, in cases of early death, only when treatment was initiated at least 24h before death. No specific guidelines were followed for initiation of statin treatment or selection of specific class or dosage. Based on low-density lipoprotein (LDL)18 and CRP reduction efficacy,19 the therapeutic equivalence between statins was characterized as low and medium-high doses. Low dose included atorvastatin ≤10mg, simvastatin ≤20mg, pravastatin ≤40mg, lovastatin ≤40mg or fluvastatin ≤80mg, and medium-high dose included atorvastin ≥20mg or simvastatin ≥40mg.

Statistical Analysis

Continuous variables were expressed as mean±1 standard deviation or median (interquartile range [IQR]) when appropriate. Discrete variables were presented as percentages. Mortality rates across statin therapy and CA125 categories (≤ or >35 U/mL) were depicted using the Kaplan-Meier method and their differences tested by the Peto-Peto Prentice test. The independent association between statin treatment and long-term mortality was assessed with Cox regression analysis. For the secondary analysis, cardiovascular death was independently modeled with Cox adapted for competing risk events.20 Candidate covariates for the initial multivariable model were chosen based on previous medical knowledge (see variables in Table 1), and independent of their P-value. A reduced, parsimonious, although highly predictive model was then derived by a backward elimination procedure using the “multivariable fractional polynomial” algorithm. The proportionality assumption for the hazard function over time was tested by means of the Schoenfeld residuals. The discriminative ability of the models was assessed using Harrell′s C-statistics and their calibration by the Gronnesby and Borgan test. Covariates that were included in the final models are specified in the respective figure and table legends. To provide clinical meaning to the Cox regression results, absolute measures for the association between statins and mortality were calculated. Adjusted absolute risk differences were estimated across CA125-binary status and at specific time points during the follow-up (3 and 6 months, 1, 3 and 5 years).21 Number needed to treat (NNT) and their 95% confidence interval (95%CI) were obtained by taking the reciprocal of the risk difference.

Table 1. Baseline Characteristics of the Population Stratified by Statin Therapy.

  All (n=1222) Statins (n=455) No statins (n=767) P
Demographic and medical history
Age, years 73±11 73±10 73±12 .559
Female, n (%) 620 (50.7) 211 (46.4) 409 (53.3) .019
Previous admission for AHF, n (%) 458 (37.5) 170 (37.4) 288 (37.5) .948
Hypertension, n (%) 946 (77.4) 393 (86.4) 553 (72.1) <.001
Dyslipidemia, n (%) 523 (42.8) 342 (75.2) 181 (23.6) <.001
Current smoker, n (%) 128 (10.5) 53 (11.6) 75 (9.8) .302
Previous smoker, n (%) 232 (19) 109 (24) 123 (16) .001
Ischemic heart disease, n (%) 466 (38.1) 261 (57.4) 205 (26.7) <.001
Valvular heart disease, n (%) 350 (28.6) 97 (21.3) 253 (33) <.001
ADHF, n (%) 836 (68.4) 293 (64.4) 543 (70.8) .020
Acute pulmonary edema, n (%) 265 (21.7) 119 (26.1) 146 (19) .004
Hypertensive AHF, n (%) 99 (8.1) 41 (9) 58 (7.6) .369
NYHA class III/IV, n (%) a 224 (18.3) 79 (17.4) 145 (18.9) .501
Previous HF, n (%) 434 (35.5) 165 (36.3) 269 (35.1) .674
COPD, n (%) 265 (21.7) 108 (23.7) 157 (20.5) .180
PAD, n (%) 87 (7.1) 43 (9.4) 44 (5.7) .015
Stroke, n (%) 126 (10.3) 58 (12.7) 68 (8.9) .031
Renal failure, n (%) 205 (16.8) 93 (20.4) 112 (14.6) .008
Radiological pleural effusion, n (%) 539 (44.1) 185 (40.7) 354 (46.1) .061
Peripheral edema, n (%) 680 (55.6) 238 (52.3) 442 (57.6) .070
Previous use of diuretics, n (%) 756 (61.9) 288 (63.3) 468 (61) .428
Previous use of beta-blockers, n (%) 292 (23.9) 144 (31.6) 148 (19.3) <.001
Previous use of ACEI/ARB, n (%) 554 (45.3) 250 (54.9) 304 (39.6) <.001
Previous use of statins, n (%) 330 (27) 260 (57.1) 70 (9.1) <.001
Vital signs
Heart rate, bpm 101±29 99±28 102±30 .018
SBP, mmHg 150±36 152±36 149±36 .152
DBP, mmHg 83±20 83±21 82±20 .291
Atrial fibrillation, n (%) 539 (44.1) 153 (33.6) 386 (50.3) <.001
QRS >120ms, n (%) 358 (29.4) 139 (30.5) 219 (28.7) .494
Haemoglobin, g/dL 12.7±1.9 12.8±1.9 12.6±1.9 .090
Serum creatinine, mg/dL 1.3±0.6 1.3±0.6 1.3±0.6 .146
Serum urea, mg/dL 63±35 63±29 63±38 .975
Uric acid, mg/dL 7.9±2.4 7.7±2.2 8±2.5 .081
Sodium, mEq/L 139±5 139±4 139±5 .459
Troponin I, ng/mL 0 [0-0.23] 0.2 [0-0.33] 0 [0-0.17] <.001
Troponin I >0.2 ng/mL, n (%) 336 (27.5) 150 (33) 186 (24.2) .001
BNP, pg/mL 145 [85-292] 136 [72-284] 151 [89-302] .014
Relative lymphocyte count, % 17.9±9.9 18.9±9.9 17.3±9.9 .008
CA125, U/mL 57 [25-129] 53 [24-113] 59 [26-141] .021
Total cholesterol, mg/dL 170±44 177±47 166±41 <.001
Triglycerides, mg/dL 120±57 135±65 110±49 <.001
LDL cholesterol, mg/dL 104±35 107±40 102±32 .019
HDL cholesterol, mg/dL 42±12 44±12 42±13 .016
LVEF, % 51±15 49±15 52±15 <.001
LVEF ≤50%, n (%) 560 (45.8) 243 (53.4) 317 (41.3) <.001
LAD, mm 44±8 43±7 44±8 .001
LVDD, mm 56±9 57±9 55±9 <.001
Medical treatment
Beta-blockers, n (%) 635 (52) 258 (56.7) 377 (49.1) .011
Diuretics, n (%) 1198 (98) 444 (97.6) 754 (98.3) .379
Spironolactone, n (%) 232 (19) 97 (21.3) 135 (17.6) .109
ACEI, n (%) 505 (41.3) 170 (37.4) 335 (43.7) .030
ARB, n (%) 361 (29.5) 159 (34.9) 202 (26.3) .001
Oral anticoagulants, n (%) 493 (40.3) 150 (33) 343 (44.7) <.001
Nitrates, n (%) 246 (20.1) 134 (29.4) 112 (14.6) <.001
Digoxin, n (%) 313 (25.6) 94 (20.7) 219 (28.5) .002

ACEI, angiotensin converting enzyme inhibitors; ADHF, acute decompensate heart failure; AHF, acute heart failure; ARB, angiotensin receptor blockers; BNP, brain natriuretic peptide; CA125, antigen carbohydrate 125; COPD, chronic pulmonary obstructive disease; DBP, diastolic blood pressure; HDL, high-density lipoprotein; HF, heart failure; LAD, left atrial diameter; LDL, low-density lipoprotein; LVDD, left ventricular diastolic diameter; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association; PAD, peripheral artery disease; SBP, systolic blood pressure.
Data are expressed as mean±standard deviation, n (%) or median [interquartile range].

a Last NYHA functional class measured under clinically stable conditions.

A 2-sided P-value of <.05 was considered to be statistically significant for all analyses. All analyses were performed using STATA 11.1 (StataCorp. 2009. Stata Statistical Software: Release 11. College Station, Texas: StataCorp LP, United States).


The mean age in our sample was 73±11 years; 50.8% were female, 54% exhibited LVEF >50%, 64.9% had higher levels of CA125 (>35 U/mL) and 37.2% received statin therapy. Among patients that received statins, atorvastatin (61.5%), pravastatin (20.7%), and simvastatin (15.4%) were, in that order, the most frequent prescriptions. Among patients receiving statins, the median [IQR] dose for atorvastatin, pravastatin, and simvastatin were 20mg (20-40), 40mg (20-40) and 20mg (10-20), respectively. According to statin dose categorization, 210 (46.2%) and 245 (53.8%) patients were treated with low and medium-high dose, respectively. Clinical characteristics of the study population are shown in Table 1.

Clinical Predictors of Carbohydrate Antigen 125 Elevation

Patients with CA125 values >35 U/mL displayed the worst baseline risk profile as evidenced by higher proportion of admission as acute decompensated heart failure, NYHA III/IV at stable phase of the disease, pleural effusion, peripheral edema, atrial fibrillation, and left ventricular systolic dysfunction. Likewise, higher means of uric acid, brain natriuretic peptide (BNP), and left atrial and ventricular dimensions, and lower means of systolic and diastolic blood pressure, serum hemoglobin, relative lymphocyte count, cholesterol (total, LDL and high-density lipoprotein [HDL]), and triglycerides were observed in this group of patients (supplementary material, annex 1). The most important variables that were independently associated with CA125 >35 U/mL were: a) presence of radiologic pleural effusion; b) BNP serum values, and c) peripheral edema, explaining 50.9%, 13.9% and 8% of the total R2, respectively.

Clinical Predictors of Statin Prescription

Table 1 lists those variables significantly associated with statin prescription. The most important independent predictors (ranked in order of importance) were: a) previous treatment with statins (60% of total R2); b) history of dyslipidemia (12.8% of total R2), and c) history of myocardial infarction (7.5% of total R2). In this population, serum lipid levels contributed marginally to the odds of statin prescription (5.7%, 5.2%, and 2.6% of total R2 for HDL, LDL and triglycerides, respectively). It is notable that CA125, whether evaluated as a continuous or binary (CA125 >35 U/mL) variable, was not independently associated with statin prescription (odds ratio [OR]=0.99; 95%CI: 0.99-1.00, P=.524 and OR=1.29; 95%CI: 0.90-1.87, P=.168, respectively).

Statin Therapy and All-Cause Mortality Across Carbohydrate Antigen 125 Status

At a median follow-up of 20 months (IQR=8-38), 542 (44.4%) deaths were ascertained. Of these, 418 were attributed as cardiovascular (77.1%) and 194 (35.8%) were due to HF progression. In univariate analysis, a differential prognostic effect between statin treatment and CA125 categories was observed (P for interaction=.019). In patients with CA125 >35 U/mL, mortality was lower in statin-treated patients (1.89 vs 2.80 per 10 patient-years of follow-up, respectively, P<.001), with differences observed since the first months of follow-up and reaching a maximum between the first and second year (Figure 1A). Conversely, in those with CA125 ≤35 U/mL, mortality rates did not differ by statin treatment (1.76 vs 1.63 per 10 patient-years of follow-up, P=.862) (Figure 1B). After a thorough multivariable adjustment, this interaction persisted (P for interaction=.024): treatment with statins was associated with a significant adjusted risk reduction in patients with elevated values of CA125 (HR=0.65, 95%CI: 0.51-0.82; P<.001), but not in those with values equal or below 35 U/mL (HR=1.02, 95%CI: 0.74-1.41; P=.907). This interaction was also present when CA125 was evaluated as continuous or dichotomized by its median value (supplementary material, annex 2). Moreover, several sensitivity analyses were performed with the aim to further support our findings. All of them confirmed the prognostic benefit of statins in patients with CA125 >35 U/mL: a) by forcing in the model the most important variables associated to statin prescription (previous treatment with statins, history of dyslipidemia, previous myocardial infarction, and raw lipid values); b) by testing statins dosages (low vs medium-high), and c) by testing, independently, the predictive value of the two most frequent statin classes prescribed (atorvastatin and pravastatin) (Figure 2).

Figure 1. Cumulative risk of mortality across statin therapy. A: In patients with carbohydrate antigen 125 >35 U/mL. B: In patients with carbohydrate antigen 125 ≤35 U/mL. CA125, carbohydrate antigen 125.

Figure 2. Total mortality adjusted hazard ratio (95% confidence interval) for the effect of statins among patients with carbohydrate antigen 125 >35 U/mL. CA125, carbohydrate antigen 125; 95%CI, 95% confidence interval; HR, hazard ratio. aModel 1: final multivariate Cox model adjusted by: age, gender, previous admission for acute heart failure (yes/no), admission as acute decompensate heart failure (yes/no), last New York Heart Association functinal class at stable phase of the disease, length of stay, ischemic etiology, heart rate interacting with atrial fibrillation (yes/no), systolic blood pressure interacting with left ventricular ejection fraction<50% (yes/no), radiologic evidence of pleural effusion (yes/no), peripheral artery disease (yes/no), serum sodium, serum brain natriuretic peptide, serum hemoglobin, serum urea, relative lymphocyte count, treatment with beta-blockers (yes/no) and oral anticoagulants (yes/no). Harrell′s C-statistics of the model was 0.752. The Gronnesby and Borgan test of goodness-of-fit showed a good model's calibration (P=.579). bModel 2: Multivariate Cox model adjusted by the same set of the covariates of model 1 plus main variables associated to statin prescription: previous treatment with statins (yes/no), history of dyslipidemia (yes/no), previous myocardial infarction (yes/no) and serum lipid levels. Harrell′s C-statistics of the model was 0.752. The Gronnesby and Borgan test of goodness-of-fit showed a good model's calibration (P=.555). cDose categories included: low dose (atorvastatin ≤10mg, simvastatin ≤20mg, pravastatin ≤40mg, lovastatin ≤40mg and fluvastatin ≤80mg) and medium-high dose (atorvastin ≥20mg and simvastatin ≥40mg). dInteraction P-value refers to the interaction between treatment with statins and CA125-binary status.

Furthermore, subgroup analyses revealed that this prognostic benefit of statins (in patients with high CA125 values) was uniform in the most representative subset of patients with AHF, such as those >75 years old, females, LVEF<50%, ischemic etiology, diabetes mellitus, and previous admission for AHF, even in patients with no previous dyslipidemia and total cholesterol and LDL cholesterol below the median (Figure 3).

Figure 3. Adjusted hazard ratio for the effect of statins on total mortality across main subgroups of patients with carbohydrate antigen 125 >35 U/mL. 95%CI, 95% confidence interval; HF, heart failure; HR, hazard ratio; LDL, low-density lipoprotein; LVEF, left ventricular ejection fraction.*Interaction P-value refers to the interaction between treatment with statins and each variable identifying the clinical subgroups.

The absolute association of statins with total mortality across CA125-binary status was evaluated by estimating an adjusted absolute risk difference (and NNT) at 3 and 6 months and 1, 3 and 5 years after admission (Table 2). In the group with CA125 >35 U/mL there was a consistent association of statins with mortality along the entire follow-up, and independently of the baseline hazard function for mortality; no association was shown in those patients belonging to the group of CA125 ≤35 U/mL. The equivalent translation to NNT is depicted in Table 2. Overall, treatment with statins in this population of patients with AHF was associated with 1 less death for every 7 to 14 patients treated, depending on the time at which it was evaluated.

Table 2. Adjusted Absolute Risk Difference and Number Needed to Treat for the Effect of Statins on Mortality, Among Carbohydrate Antigen 125-binary Status at the Specified Time Points.

Time points CA125 > 35 U/mL CA125≤ 35 U/mL
  Adjusted ARD (95%CI) NNT (95%CI) Adjusted ARD (95%CI) NNT (95%CI)
3 months 0.08 (0.03 to 0.12) 13.1 (8.3 to 30.9) −0.01 (−0.06 to 0.04) −88.6 (27.5 to −17.0)
    (P=.001)   (P=.642)
6 months 0.07 (0.02 to 0.12) 13.8 (8.1 to 46.8) −0.004 (−0.06 to 0.06) −270.9 (18.2 to −16.0)
    (P=.005)   (P=.902)
1st year 0.11 (0.05 to 0.17) 9.3 (6.0 to 20.6) 0.01 (−0.07 to 0.08) 113.7 (11.9 to −15.1)
    (P<.001)   (P=.819)
3rd year 0.11 (0.03 to 0.19) 9.2 (5.3 to 35.9) −0.01 (−0.12 to 0.09) −73.9 (10.6 to −8.2)
    (P=.008)   (P=.806)
5th year 0.14 (0.05 to 0.23) 7.1 (4.3 to 19.7) −0.004 (−0.13 to 0.12) −232.5 (8.2 to −7.6)
    (P=.002)   (P=.947)

ARD, absolute risk difference; CA125, carbohydrate antigen 125; NNT, number needed to treat.

Statin Therapy and Cardiovascular Mortality Across Carbohydrate Antigen 125 Categories

During follow-up, 418 cardiovascular deaths were registered (77.1%). Similar to all-cause mortality, those patients treated with statins and high levels of CA125 showed a marked decrease in the cumulative incidence function for cardiovascular mortality as compared to: a) non-statin-treated patients with CA125 >35 U/mL, and b) patients with normal CA125 values treated or not with statins (no significant difference in the cumulative incidence of cardiovascular death across statin therapy), as illustrated in supplementary material annex 3. Failure probabilities according to cause of death showed homogeneous mortality reduction for statin-treated patients with CA125 >35 U/mL for the most important causes of cardiovascular death (progressive HF and sudden death) and also for non-cardiovascular death (Table 3).

Table 3. Failure Probabilities According to Cause of Death.

Time (year) CA125≤35 U/mL No statins (n=258) CA125≤35 U/mL Statins (n=171) CA125>35 U/mL No statins (n=509) CA125>35 U/mL Statins (n=284) Total (n=1222)
  Died, (No.) 1-KM Died, (No.) 1-KM Died, (No.) 1-KM Died, (No.) 1-KM Died, (No.)
Cardiovascular-death (n=418)
1 38 0.1575 22 0.1479 134 0.2825 49 0.1826 243
2 52 0.2312 33 0.2348 168 0.3761 64 0.264 317
3 65 0.3238 44 0.3616 189 0.4549 77 0.3664 375
4 72 0.3963 46 0.3928 203 0.5331 82 0.4257 403
5 73 0.4107 47 0.4217 209 0.5778 83 0.4417 412
6 73 0.4107 48 0.4743 210 0.5947 84 0.4789 415
Progressive heart failure death (n=194)
1 18 0.0754 11 0.0741 83 0.1799 27 0.1029 139
2 22 0.099 13 0.0924 93 0.2136 33 0.1382 161
3 26 0.1332 15 0.119 98 0.2371 39 0.1954 178
4 29 0.1729 16 0.1416 103 0.278 39 0.1954 187
5 29 0.1729 16 0.1416 105 0.2998 40 0.2178 190
6 29 0.1729 16 0.1416 106 0.3278 41 0.2699 192
Sudden death (n=55)
1 6 0.0268 3 0.0223 20 0.0499 8 0.0325 37
2 6 0.0268 4 0.0313 24 0.0649 9 0.0407 43
3 8 0.0489 9 0.107 25 0.0701 10 0.0524 52
4 9 0.0631 10 0.1283 26 0.082 10 0.0524 55
5 9 0.0631 10 0.1283 26 0.082 10 0.0524 55
6 9 0.0631 10 0.1283 26 0.082 10 0.0524 55
Non-cardiovascular death (n=124)
1 12 0.0547 5 0.0330 28 0.0730 6 0.0253 51
2 19 0.0958 11 0.0952 38 0.1106 19 0.1073 87
3 24 0.1356 12 0.1129 46 0.1582 20 0.1167 102
4 25 0.1461 14 0.1524 52 0.2105 22 0.1497 113
5 25 0.1461 15 0.1877 55 0.2529 24 0.1998 119
6 26 0.1802 15 0.1877 55 0.2529 24 0.1998 120

CA125: carbohydrate antigen 125; KM: Kaplan Meier.

In multivariable analysis, while accounting for non-cardiovascular death as a competing event, the interaction between CA125 and statins was borderline significant (P-value for interaction=.051). Constrained by this interaction, those patients displaying CA125 >35 U/mL and treated with statins showed a significant 38% risk reduction (HR=0.62, 95%CI: 0.47-0.81; P<.001), whereas statin therapy failed to show any benefit in those with normal CA125 values (HR=0.97, 95%CI: 0.66-1.41; P=.703), as shown in supplementary material annex 2.


In the present study, we found that in patients with AHF the association of statins with long-term mortality was differentially determined by CA125 serum levels. In contrast to patients with normal CA125 values (≤35 U/mL), where no association was observed, in patients exhibiting high CA125 values (>35 U/mL) statin treatment was associated with a significant 35% reduction in total mortality. The consistency of this differential prognostic effect was confirmed despite a thorough covariate adjustment (including lipid levels), and also observed among the most important clinical subgroups, including patients with non-ischemic HF etiology and those with preserved systolic function. Moreover, the beneficial association of statins observed in the subgroup of patients with CA125 >35 U/mL was also endorsed by a significant difference in absolute risk shown along the entire follow-up.

Although the findings of subgroup analyses should be cautiously interpreted, we believe that our main finding provides additional support to the results of a recent analysis of the CORONA trial,6 where the main prognostic benefit of statins in HF was observed only in patients with elevated proinflammatory activity.8.

Carbohydrate Antigen 125 as a Marker of Inflammation and Its Theoretical Advantages Over Other Inflammatory Biomarkers

There is increased evidence underlying the prognostic role of CA125 in advanced HF.11, 12 Although the exact mechanism for this association has not yet been determined, it is believed to be related to complex pathophysiological processes linking inflammation and systemic congestion.22 For instance, in AHF setting, CA125 levels did show to correlate with proinflammatory cytokines and low relative lymphocytes count.9, 10 Furthermore, in vitro studies have shown that proinflammatory cytokines such as interleukin-1, tumor necrosis factor-α and lipopolysaccharide can stimulate human mesothelial cells to increase secretion of CA125.23.

Compared to other inflammatory biomarkers not yet ready for routine clinical use, CA125 offers some meaningful potential advantages such as wide availability in routine clinical practice, standardized measurement, low cost and pharmacokinetics reliability. It is well known that most proinflammatory cytokines exhibited high temporal variability for reasons that are out of the scope of this work (unstandardized measure techniques, pulsatile release, short half-lives, etc.).24 In contrast, CA125 kinetic displays a mean span-life higher than 1 week,13 even much longer than 18-20h of CRP plasma half-life,25 which allows us to postulate CA125 as a reliable biomarker for baseline identification of heightened inflammatory activity. On the other hand, clinical observations have shown that serial changes of CA125 over time are kept within values that reflect the patient's clinical status and prognosis.26, 27 Based on all of these attractive properties, we believe that this glycoprotein may have a potential role for monitoring and guiding therapy in HF, either as stand-alone or combined with natriuretic peptides. Not surprisingly, the main clinical use of this biomarker, outside HF setting, is for monitoring therapy in ovarian cancer.28.

Pleiotropic Effects of Statins. A Matter of Debate

Several mechanisms have been proposed to explain the unexpected (and disappointing) results of the CORONA6 and GISSI7 trials. On one hand, lipoproteins have been shown to neutralize the endotoxin inflammatory response, and thus, by lowering them with statins, the bioactivity of bacterial endotoxins may potentially increase.2, 29 Statins also reduce plasma levels of ubiquinone, a coenzyme in mitochondrial respiration, which at least on theoretical ground, may affect myocardial function.2 On the positive side, however, a large number of studies have shown the effects of statins in reducing inflammatory markers (CRP, tumor necrosis factor-α, interleukin-1 and interleukin-6) including patients with HF.30 The longstanding success of statins in HF speaks in favor of the hypothesis that the net effect of these opposite forces goes in favor of the anti-inflammatory effect. The clinical benefit of statin therapy based on inflammatory status is also reinforced in general population by the results of JUPITER trial, where in healthy persons without dyslipidemia but with elevated CRP levels, rosuvastatin significantly reduced the incidence of major cardiovascular events.31 Nevertheless, generating more debate, a recent substudy of the Heart Protection Study showed that reducing LDL cholesterol with simvastatin reduces the risk of major vascular events to a similar extent irrespective of CRP concentration.32.

In AHF, elevated inflammatory activity interacts through complex pathophysiological pathways with systemic congestion,22 and is thought to contribute to the high morbidity and mortality observed after the first months following the acute episode. Several observational studies have reported better survival among statin treated patients in the setting of AHF3, 5 and in patients with severe bacterial infections,33 where inflammation plays a crucial pathogenic role. We believe, however, that AHF represents an inhomogeneous clinical entity, not only in aetiology and LVEF, but also in levels of systemic inflammation. AHF patients, especially those with over-activity of the immune system constitute a plausible target to further investigate the statin therapeutic effects.


There are a number of potential limitations in this study: a) this is a single-center observational study where, by design, different types of bias and residual confounding may be operating; b) the adjudication of specific cause of death was mainly done through patients’ chart review which, to some extent, may introduce some degree of endpoint misclassification; c) with the present data, we cannot address the complex pathogenic mechanisms that may be operating between statins, HF and mortality; d) knowing that the indication for statins in our cohort was for the treatment of dyslipidemia, we are unable to discard that our results may be confounded by this indication; e) due to the small size of our cohort and the many different types and doses of statins, it was not possible to determine whether a dose-response or a class effect was present; f) we did not evaluate either the adherence to statin therapy or the impact that serial changes in CA125 would have had on our results, and g) the lack of measurement of CRP in all patients precludes to include this biomarker in this analysis.


In conclusion, in this hypothesis generating study, statin therapy in AHF was associated with a decreased risk of mortality, but only for those patients with CA125 levels >35 U/mL. These results provide a rationale to further investigate the therapeutic role of statins among HF patients with evidence of systemic inflammation as evidenced by elevated CA125 levels in a more controlled scenario.


This study was supported by a grant from Conselleria de Sanitat (Dirección General de Ordenación, Evaluación e Investigación Sanitaria para el fomento de la investigación en la Comunidad Valenciana: AP-132/08) and by the Ministerio de Sanidad y Consumo, Instituto de Salud Carlos III, RED HERACLES RD06/0009/1001 (Madrid, Spain).


Dr. Gregg Fonarow has research from the National Institues of Health, received honorarium from GlaxoSmithKline, Medtronic, Novartis, and Pfizer, and consulted for GlaxoSmithKline, Merck, Novartis, and Pfizer.


Appendix A. Supplementary material

Supplementary material associated with this article can be found in the online version available at doi:10.1016/j.rec.2011.05.033.

Appendix A. Supplementary material


Received 15 March 2011
Accepted 29 May 2011

Corresponding author: Servicio de Cardiología, Hospital Clínico Universitario, Avda. Blasco Ibáñez 17, 46010 Valencia, Spain.

Yndestad A, Damas JK, Oie E, Ueland T, Gullestad L, Aukrust P..
Systemic inflammation in heart failure--the whys and wherefores..
Heart Fail Rev. , 11 (2006), pp. 83-92
Tsouli SG, Liberopoulos EN, Goudevenos JA, Mikhailidis DP, Elisaf MS..
Should a statin be prescribed to every patient with heart failure?..
Heart Fail Rev. , 13 (2008), pp. 211-225
Anker SD, Clark AL, Winkler R, Zugck C, Cicoira M, Ponikowski P, et al..
Statin use and survival in patients with chronic heart failure —results from two observational studies with 5200 patients..
Int J Cardiol. , 112 (2006), pp. 234-242
Foody JM, Shah R, Galusha D, Masoudi FA, Havranek EP, Krumholz HM..
Statins and mortality among elderly patients hospitalized with heart failure..
Circulation. , 113 (2006), pp. 1086-1092
Go AS, Lee WY, Yang J, Lo JC, Gurwitz JH..
Statin therapy and risks for death and hospitalization in chronic heart failure..
JAMA. , 296 (2006), pp. 2105-2111
Kjekshus J, Apetrei E, Barrios V, Bohm M, Cleland JG, Cornel JH, et al..
Rosuvastatin in older patients with systolic heart failure..
N Engl J Med. , 357 (2007), pp. 2248-2261
Gissi-HF Investigators., Tavazzi L, Maggioni AP, Marchioli R, Barlera S, Franzosi MG, Latini R, et al..
Effect of rosuvastatin in patients with chronic heart failure (the GISSI-HF trial): a randomised, double-blind, placebo-controlled trial..
Lancet. , 372 (2008), pp. 1231-1239
McMurray JJ, Kjekshus J, Gullestad L, Dunselman P, Hjalmarson A, Wedel H, et al, CORONA Study Group..
Effects of statin therapy according to plasma high-sensitivity C-reactive protein concentration in the controlled rosuvastatin multinational trial in heart failure (CORONA): a retrospective analysis..
Circulation. , 120 (2009), pp. 2188-2196
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. , 8 (2006), pp. 270-274
Miñana G, Núñez J, Sanchis J, Bodí V, Núñez E, Llàcer A..
CA125 and immunoinflammatory activity in acute heart failure..
Int J Cardiol. , 145 (2010), pp. 547-548
Núñez J, Núñez E, Consuegra L, Sanchis J, Bodí V, Martínez-Brotons A, et al..
Carbohydrate antigen 125: An emerging prognostic risk factor in acute heart failure?..
Heart. , 93 (2007), pp. 716-721
Núñez J, Sanchis J, Bodí V, Fonarow GC, Núñez E, Bertomeu-González V, et al..
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. , 31 (2010), pp. 1752-1763
Bidart JM, Thuillier F, Augereau C, Chalas J, Daver A, Jacob N, et al..
Kinetics of serum tumor marker concentrations and usefulness in clinical monitoring..
Clin Chem. , 45 (1999), pp. 1695-1707
Remme WJ, Swedberg K..
Guidelines for the diagnosis and treatment of chronic heart failure..
Eur Heart J. , 22 (2001), pp. 1527-1560
Nieminen MS, Bohm M, Cowie MR, Drexler H, Filippatos GS, Jondeau G, et al, ESC Committe for Practice Guideline (CPG)..
Executive summary of the guidelines on the diagnosis and treatment of acute heart failure: the Task Force on Acute Heart Failure of the European Society of Cardiology..
Eur Heart J. , 26 (2005), pp. 384-416
Task Force for Diagnosis and Treatment of Acute and Chronic Heart Failure 2008 of European Society of Cardiology., Dickstein K, Cohen-Solal A, Filippatos G, McMurray JJ, Ponikowski P, Poole-Wilson PA, et al..
ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008: the Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2008 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association of the ESC (HFA) and endorsed by the European Society of Intensive Care Medicine (ESICM)..
Eur Heart J. , 29 (2008), pp. 2388-2442
Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, Brown TM, et al, American Heart Association Statistics Committee and Stroke Statistics Subcommittee..
Heart disease and stroke statistics—2011 update: a report from the American Heart Association..
Circulation. , 123 (2011), pp. e18-e209
Jones P, Kafonek S, Laurora I, Hunninghake D..
Comparative dose efficacy study of atorvastatin versus simvastatin, pravastatin, lovastatin, and fluvastatin in patients with hypercholesterolemia (the curves study)..
Am J Cardiol. , 81 (1998), pp. 582-587
Jialal I, Stein D, Balis D, Grundy SM, Adams-Huet B, Devaraj S..
Effect of hydroxymethyl glutaryl coenzyme a reductase inhibitor therapy on high sensitive C-reactive protein levels..
Circulation. , 103 (2001), pp. 1933-1935
Fine J, Gray R..
A proportional hazard model for the subdistribution of a competing risk..
J Am Stat Assoc. , 94 (1999), pp. 496-509
Laubender RP, Bender R..
Estimating adjusted risk difference (RD) and number needed to treat (NNT) measures in the Cox regression model..
Stat Med. , 29 (2010), pp. 851-859
Colombo PC, Jorde UP..
Papel activo de la congestión venosa en la fisiopatología de la insuficiencia cardiaca aguda descompensada..
Rev Esp Cardiol. , 63 (2010), pp. 5-8
Zeillemaker AM, Verbrugh HA, Hoynck Van Papendrecht AA, Leguit P..
CA 125 secretion by peritoneal mesothelial cells..
J Clin Pathol. , 47 (1994), pp. 263-265
Dibbs Z, Thornby J, White BG, Mann DL..
Natural variability of circulating levels of cytokines and cytokine receptors in patients with heart failure: implications for clinical trials..
J Am Coll Cardiol. , 33 (1999), pp. 1935-2012
Ridker PM..
Clinical application of C-reactive protein for cardiovascular disease detection and prevention..
Circulation. , 107 (2003), pp. 363-369
D’Aloia A, Faggiano P, Aurigemma G, Bontempi L, Ruggeri G, Metra M, et al..
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. , 41 (2003), pp. 1805-1811
Núñez J, Núñez E, Sanchis J, Bodí V, Fonarow GC, Miñana G, et al. Antigen carbohydrate 125 and brain natriuretic peptide serial measurements for risk stratification following an episode of acute heart failure. Int J Cardiol. 2011. doi:10.1016/j.ijcard.2011.02.001..
Scholler N, Urban N..
Ca125 in ovarian cancer..
Biomark Med. , 1 (2007), pp. 513-523
Rauchhaus M, Coats AJ, Anker SD..
The endotoxin-lipoprotein hypothesis..
Lancet. , 356 (2000), pp. 930-933
Zhang L, Zhang S, Jiang H, Sun A, Wang Y, Zou Y, et al..
Effects of statin therapy on inflammatory markers in chronic heart failure: a meta-analysis of randomized controlled trials..
Arch Med Res. , 41 (2010), pp. 464-471
Ridker PM, Danielson E, Fonseca FA, Genest J, Gotto AM, Kastelein JJ, et al..
Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein..
N Engl J Med. , 359 (2008), pp. 2195-2207
Emberson J, Bennett D, Link E, Parish S, Danesh J, Armitage J, et al, Heart Protection Study Collaborative Group..
C-reactive protein concentration and the vascular benefits of statin therapy: an analysis of 20,536 patients in the Heart Protection Study..
Lancet. , 377 (2011), pp. 469-476
Bjorkhem-Bergman L, Bergman P, Andersson J, Lindh JD..
Statin treatment and mortality in bacterial infections —a systematic review and meta-analysis..
PLoS One. , 5 (2010), pp. e10702
Revista Española de Cardiología (English Edition)

Subscribe to our newsletter

View newsletter history
Article options
Supplemental materials
es en

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?