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(Circulation. 2007;116:1242-1249.)
© 2007 American Heart Association, Inc.
Heart Failure |
From the Department of Cardiovascular Research, Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy (R.L., S.M., L.A., S.B.); Department of Medicine, New York Medical College, Valhalla, NY (R.L.); Cardiology Section, Veterans Affairs Medical Center, Minneapolis, Minn (I.S.A.); Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (E.M., M.C., J.N.C.); Endocrinology Laboratory, Ospedale Luigi Sacco, Milan, Italy (T.V.); Section of Medical Statistics, University of Brescia, Brescia, Italy (G.P.); Centro Studi ANMCO, Florence, Italy (A.P.M.); and Consorzio Mario Negri Sud, S. Maria Imbaro, Italy (G.T.).
Correspondence to Roberto Latini, MD, Istituto Mario Negri, via La Masa 19, 20156 Milano, Italy. E-mail latini{at}marionegri.it
Received August 1, 2006; accepted June 11, 2007.
| Abstract |
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Methods and Results— Plasma troponin T was measured in 4053 patients with chronic HF enrolled in the Valsartan Heart Failure Trial (Val-HeFT). Troponin T was detectable in 10.4% of the population with the cTnT assay (detection limit
0.01 ng/mL) compared with 92.0% with the new hsTnT assay (
0.001 ng/mL). Patients with cTnT elevation or with hsTnT above the median (0.012 ng/mL) had more severe HF and worse outcome. In Cox proportional hazards models adjusting for clinical risk factors, cTnT was associated with death (780 events; hazard ratio=2.08; 95% confidence interval, 1.72 to 2.52; P<0.0001) and first hospitalization for HF (655 events; hazard ratio=1.55; 95% confidence interval, 1.25 to 1.93; P<0.0001). HsTnT was associated with the risk of death in unadjusted analysis for deciles of concentrations and in multivariable models (hazard ratio=1.05; 95% confidence interval, 1.04 to 1.07 for increments of 0.01 ng/mL; P<0.0001). Addition of hsTnT to well-calibrated models adjusted for clinical risk factors, with or without brain natriuretic peptide, significantly improved prognostic discrimination (C-index, P<0.0001 for both outcomes).
Conclusions— In this large population of patients with HF, detectable cTnT predicts adverse outcomes in chronic HF. By the highly sensitive assay, troponin T retains a prognostic value at previously undetectable concentrations.
Key Words: heart failure natriuretic peptides prognosis troponin
| Introduction |
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Editorial p 1217
Clinical Perspective p 1249
The levels of cardiac troponins in HF are generally lower than those in patients with acute coronary syndromes and lack the characteristic rise and fall pattern.4 Few reports exist on cTnT elevations in chronic stable HF.6,8,16,20 Previous studies included more frequently patients with severe HF (New York Heart Association [NYHA] class III and IV) and/or with decompensated HF, recruited in a single center.6,8,10,11,15,16 As expected, lesser severity of HF is associated with a larger fraction of patients with undetectable troponin. The commercial assays for troponins have sufficient sensitivity (0.01 ng/mL) for screening patients with suspected myocardial infarction21 but may be inadequate for risk stratification of patients with stable chronic HF who may have levels below the current detection limits. A highly sensitive assay for cTnT, currently under development, now makes it possible to measure concentrations >10-fold lower than the lower limit of the traditional assay. This provides the opportunity for a more comprehensive assessment of the relationship between cTnT and adverse outcomes in HF. We report here on the prognostic value of cardiac troponin T measured by the standard assay (cTnT) and by a precommercial new-generation highly sensitive assay (hsTnT) in 4053 patients with stable chronic HF enrolled in the Valsartan Heart Failure Trial (Val-HeFT) to confirm and extend previous observations obtained with cTnT in smaller samples of patients and to explore the additional clinical value of measuring previously undetectable cTnT concentrations.
| Methods |
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2.9 cm/m2. Results of the main trial have been published.22
Measurement of cTnT and hsTnT
Blood samples for the determination of troponin were collected at randomization in 4053 patients enrolled in Val-HeFT. Cardiac troponin was measured on the same EDTA-plasma sample as cTnT (third-generation reagents) and hsTnT (precommercial assay) by electrochemiluminescence method (ECLIA; Elecsys 2010 analyzer, Roche Diagnostics, Germany). Assays were performed by personnel unaware of the patients identity and outcome. The lower detection limit for cTnT was 0.01 ng/mL. The interassay coefficient of variation was 10% at 0.03 ng/mL and 3% at 0.10 ng/mL. The intra-assay coefficient of variation was 8% at 0.03 ng/mL and 2% at 0.10 ng/mL. The reference value in age-matched healthy volunteers was <0.01 ng/mL. The lower detection limit of the highly sensitive precommercial hsTnT assay was 0.001 ng/mL. The interassay coefficient of variation was 8% at 0.01 ng/mL and 2.5% at 0.10 ng/mL. The intra-assay coefficient of variation was 5% at 0.01 ng/mL and 1% at 0.10 ng/mL. In a separate population of 1061 apparently healthy blood donors (amino-terminal probrain natriuretic peptide <125 pg/mL), the 99th percentile of hsTnT was 0.012 ng/mL, and the maximum value was 0.030 ng/mL (Roche Diagnostics, data on file). Brain natriuretic peptide (BNP) (IRMA Shionogi) and other circulating neurohormonal markers were measured as previously described.23
Statistical Analysis
Baseline characteristics between categories of cTnT and hsTnT were compared by means of the
2 test for categorical variables; continuous variables were compared by a Student t test or by nonparametric Wilcoxon rank sum test in nonnormally distributed data.
hsTnT concentrations were compared at baseline and after 4 months in patients allocated to the placebo arm of the trial and considered clinically stable on the basis of unchanged NYHA class over 4 months and 4-month variations in body weight <±2 kg and in LVEF <±5%. The average difference between hsTnT or BNP measurements at the 2 time points was evaluated in patients stratified by NYHA class II or III.24
The 2 centrally validated clinical end points, all-cause mortality (780 events) and first hospitalization for HF (655 events), stratified by levels of cTnT (<0.01 and >0.01 ng/mL) and by quartiles of hsTnT; were compared by the log-rank test and are presented as Kaplan-Meier curves. A Cox proportional hazards model was used to evaluate the prognostic value of cTnT (
0.01 ng/mL versus undetectable) and hsTnT as continuous variable on the 2 end points. Similar analyses were performed in the 3633 patients with undetectable cTnT concentrations at baseline. Univariately predictive variables were selected in multivariable models with the likelihood ratio criterion. Five nested multivariable Cox models were constructed. Model 1 included univariately predictive variables as categorical covariates such as gender, randomized treatment, NYHA class, pathogenesis, atrial fibrillation, diabetes mellitus, and prescription of ß-blockers, diuretics, or digoxin and continuous variables such as age, LVEF, LVIDD, sitting systolic blood pressure, sitting heart rate, body mass index, serum creatinine, and bilirubin at baseline. BNP (model 2) or hsTnT (model 3) was separately added to model 1. cTnT (model 4) or hsTnT (model 5) was then added to a model containing clinical risk factors and BNP (model 2). The martingale residuals plot was used to evaluate whether an independent continuous covariate could be entered directly into the model or if a transformation was necessary. The absence of the time dependence of the ability to predict hsTnT was confirmed by means of the proportionality test obtained from the multivariable Cox models. Only variables statistically significant in the univariate analysis were included in the multivariable model. The existence of an increasing relationship between hsTnT and study end points was assessed by plotting the hazard ratio (HR) for mortality or hospitalization for HF for each decile of hsTnT, with the first decile used as the reference. Model performance was evaluated by measures of calibration (Hosmer-Lemeshow statistic) and discrimination. Discrimination refers to the ability of a model to assign higher probabilities of death (outcome) to patients who actually die than those patients who live. This was evaluated by the area under the receiver operating characteristic (ROC) curve, which is equivalent to the C-index. The C-index derived from the multivariable models was used to assess the improvement in the prognostic model discrimination resulting from the sequential addition of BNP and hsTnT to a model including clinical risk factors. This statistic was calculated after having applied a resampling validation by bootstrap. Comparisons between the areas under the ROC curves were performed by pairwise method25 with the use of U statistics. ROC curves for time-dependent outcomes were also calculated.26
To evaluate the prognostic value of hsTnT concentration over time, multivariable Cox models for both outcomes were performed in patients with hsTnT value available at baseline and 4-month follow-up (n=3474). The models included all the variables statistically significant in the univariate analysis and hsTnT concentrations at both baseline and 4-month follow-up (continuous variable).
All probability values are 2-tailed, and 95% confidence intervals (CIs) were calculated. Analyses were performed with the use of SAS software, version 9.1 (SAS Institute) and the libraries Hmisc and survivalROC of the R Language.27
The authors had full access to and take full responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.
| Results |
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0.01 ng/mL) at study entry, with a median of 0.027 (quartile 1 to quartile 3, 0.016 to 0.052) ng/mL. In contrast, hsTnT was detectable (
0.001 ng/mL) in 92% of the patients, with a median of 0.012 (0.016 to 0.052) ng/mL (mean±SD=0.018±0.025 ng/mL). A significant correlation was present between cTnT and hsTnT in the 420 patients with detectable cTnT (Spearman r=0.84, P<0.0001). Patients with cTnT elevation or those with hsTnT above the median had more severe HF than those with cTnT <0.01 ng/mL or hsTnT below the median (Table 1). These patients were older and more likely to be male and diabetic. They had a higher incidence of atrial fibrillation, had higher serum creatinine and bilirubin levels, were more frequently in NYHA classes III to IV, had lower LVEF, and were more likely to be treated with diuretics and digoxin but less likely to be receiving a ß-blocker at study entry. All neurohormonal markers associated with poor outcome in HF were significantly higher in patients with detectable cTnT or with hsTnT above the median (Table 1).
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In the 670 patients meeting the defined criteria of clinical stability, the average difference for hsTnT measurements repeated over 4 months was 0.00025±0.017 ng/mL (mean±SD) and –0.0015±0.032 ng/mL for stable patients in NYHA class II (n=453) or III (n=217), respectively (Figure 1). Corresponding values for BNP were 8±101 and 12±182 pg/mL.
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Prognostic Value of Troponin T
Kaplan-Meier curves for all-cause mortality by cTnT (0.01< cTnT
0.01 ng/mL) and by quartiles of hsTnT are shown in Figure 2. The crude mortality rate after a follow-up of 24 months (median; quartile 1 to quartile 3, 18 to 29 months) was 16.5% (598/3633) and 43.3% (182/420; P<0.0001) in the patients with nonmeasurable and measurable cTnT, respectively. Mortality was 7.8% in the lowest quartile of hsTnT and 35.6% in the highest (P<0.0001). The trend for hospitalization for HF was similar (data not shown).
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A progressive and significant increase occurred in the unadjusted risk of death with increasing deciles of hsTnT (from 6.2% in decile 1 to 46.3% in decile 10; decile 10 versus 1, P<0.0001; Figure 3). The HR for mortality was significantly higher for decile 4 (0.00717 to 0.00978 ng/mL) than for the reference category (decile 1; Figure 3). Similar trends were observed for the end point of hospitalization for HF. Most patients with measurable cTnT
0.01 ng/mL (412 of 420 patients, 99.5%) were in the highest 2 deciles of hsTnT (Figure 3). Median concentration of BNP increased progressively across deciles of hsTnT from 37 pg/mL in decile 1 to 261 pg/mL in decile 10 (data not shown).
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The association between baseline concentrations of cTnT or hsTnT and outcome was tested by Cox multivariable analysis considering cTnT as categorical variable (detectable versus nondetectable) and hsTnT as continuous variable. In a model including cTnT and all demographic, clinical, and echocardiographic variables having a significant univariate relationship with outcome, this marker had the strongest association with all-cause mortality, with an HR (95% CI) of 2.08 (1.72 to 2.52) (
2=57.2, P<0.0001) followed by LVIDD (HR=1.34 [1.24 to 1.45] for each increase of 1 cm;
2=51.1, P<0.0001) and ischemic origin of HF (HR=1.45 [1.24 to 1.70];
2=21.1, P<0.0001). Likewise, in a separate model including hsTnT, this marker was the first predictor of death (HR=1.05 [1.04 to 1.07] for each increase of 0.01 ng/mL;
2=53.6, P<0.0001), followed by LVIDD (HR=1.30 [1.19 to 1.40] for each increase of 1 cm;
2=38.6, P<0.0001) and ischemic origin of HF (HR=1.44 [1.22 to 1.67];
2=19.3, P<0.0001). cTnT and hsTnT ranked sixth and seventh, respectively, as predictors of hospitalization for HF. In the population of patients with undetectable baseline cTnT (cTnT <0.01 ng/mL; n=3633), hsTnT remained the first predictor of death (HR=1.41 [1.30 to 1.53] for each increase of 0.01 ng/mL;
2=68.2, P<0.0001).
When hsTnT measurement was repeated 4 months after randomization, the first determination remained associated with all-cause mortality in a multivariable Cox model that included both measurements (Figure 4). On the other hand, the baseline measurement of hsTnT was no longer significant for the outcome of hospitalization for HF when the 4-month measurement was entered in the model.
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Multiple Biomarker Approach: Prognostic Values of hsTnT and BNP
A modest correlation at baseline was present between measurable hsTnT and BNP (Spearman r=0.441, P<0.001) and between measurable cTnT and BNP (r=0.138, P=0.0048).
The prognostic value of the combination of hsTnT and BNP was first assessed in a multivariable Cox model adjusted for clinical risk factors, in which patients were divided into 4 categories on the basis of baseline median concentrations of BNP (97 pg/mL) and hsTnT (0.0124 ng/mL). The reference category included 1280 patients with both markers below their respective median concentrations and a mortality rate of 8.2%. In the 658 patients with BNP above the median and hsTnT below, mortality was 14.3% (HR [95% CI]=1.28 [0.98 to 1.68]). In the 632 patients with BNP below the median and hsTnT above, mortality was 19.9% (1.57 [1.21 to 2.03]). Finally, in the 1331 patients with both markers above their respective median concentrations, mortality increased up to 32.0% (2.31 [1.85 to 2.88]). A similar trend was found for hospitalization for HF (data not shown).
To further elucidate the incremental value conferred by the biomarkers, BNP and hsTnT were added separately (models 2 and 3) or in combination (model 5) to a multivariable Cox model adjusted for clinical risk factors (model 1). Addition of BNP or hsTnT, separately or together, was statistically significant, as tested by means of the likelihood ratio test (for both markers, P<0.0001 for mortality and P<0.025 for hospitalization for HF; Table 2). Similarly, cTnT provided a further and significant improvement when added to the clinical model with BNP (model 4, P<0.0001 for mortality, P<0.025 for hospitalization for HF; Table 2).
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Predictive accuracy of the different models was then evaluated in terms of calibration and discrimination. All the models were well calibrated and did not show significant deviation compared with observed outcome (Table 2). The areas under the ROC curves based on multivariate Cox models ranged from 0.69 to 0.75 (Figure 5). Addition of either BNP or hsTnT separately improved prognostic discrimination compared with clinical risk factors only (P<0.0001 for both markers and outcomes; Table 2). The addition of hsTnT to a model containing clinical risk factors and BNP further increased the prognostic discrimination (P<0.0001 for both outcomes; Table 2). The addition of cTnT to a model containing clinical risk factors and BNP marginally improved the prognostic discrimination for mortality (P=0.019) but not for hospitalization for HF (P=0.229; Table 2).
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| Discussion |
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Detection and Prognostic Value of Very Low Plasma Concentration of Cardiac Troponin T in Patients With HF
Detectable levels of circulating troponin T are rare in the general population (prevalence
1%) and associated with underlying cardiovascular disease or with a high-risk phenotype for cardiovascular disease.19 Previous studies have reported elevated circulating troponin T in less than half of the patients with chronic stable or stabilized HF8,11,15,16 and more so in those with decompensated HF.7,9–11,16 The present study confirms and extends findings of these previous reports on a large representative sample of patients with stable chronic symptomatic HF treated according to contemporary recommendations. In fact, 93% of the patients were on angiotensin-converting enzyme inhibitors and 35% on ß-blockers at randomization.22 The use of a highly sensitive assay (hsTnT) not only confirms the findings with cTnT but adds prognostic information on the majority of patients (89.6%) in whom cTnT was not measurable (ie, <0.01 ng/mL). In fact, when HRs are plotted by deciles of hsTnT, a progressive increase in risk of death is evident from decile 4 onward (Figure 2). This trend was already clear when Kaplan-Meier curves for mortality and hospitalization for HF were plotted by quartiles of hsTnT (Figure 2). In addition, hsTnT conveyed a significant association with outcome in the 89.6% of patients with undetectable cTnT level at baseline. In other words, concentrations of troponin T that were considered clinically irrelevant for the diagnosis and the prognostic stratification in acute coronary syndromes appear to convey robust prognostic information in stable chronic HF.
The existing correlation between hsTnT and BNP (the active hormone was measured in the present study, but qualitatively similar results may be expected with amino-terminal probrain natriuretic peptide) did not decrease the predictive accuracy of hsTnT in multivariable analyses, suggesting that troponin T and BNP convey different and complementary clinical information.9–11,13,18 The prognostic accuracy of hsTnT is demonstrated by the fact that even in the presence of good calibration,28,29 addition of this marker to models that included clinical risk factors, with or without BNP, further improved discrimination. cTnT contributed to the prediction of mortality, although to a lesser extent than hsTnT. Future studies should focus on the use of
2 markers for risk stratification in patients with HF, which already has been done for other populations.30,31
Serial Measurements of Plasma Troponin T
BNP is known to have an elevated biological variability in patients with stable chronic HF.32,33 We report here that, on average, the difference in the plasma concentration of hsTnT was minimal over a period of observation of 4 months in patients with chronic HF deemed clinically stable. However, large absolute differences of concentrations could be observed, in particular in patients with higher hsTnT or BNP levels. Our data confirm the biological variability of these biomarkers in patients with stable chronic HF.34
The prognostic value of repeated determinations of BNP has been shown in patients with acute/decompensated HF undergoing optimization of therapy35 or with chronic HF.36,37 The majority of our patients had stable levels of hsTnT, and only 12.3% of them crossed either from below to above or from above to below the median value over 4 months (data not shown). Both baseline and 4-month determinations of hsTnT showed a significant association with risk, at least for all-cause mortality. These results demonstrate that serial measurements of hsTnT may be of clinical relevance for the management of patients with chronic HF.
Release of Cardiac Troponin T in Patients With Stable HF
Interpretation of the mechanism for the presence of troponin T in plasma of patients with chronic HF can only be speculative. A continuous, very slow release of troponins from the myocardium might reflect ongoing cardiac myocyte cell death, which has been reported to occur in animal models of post–myocardial infarction LV dysfunction38 and in humans with chronic HF.39,40 If ongoing cardiac damage at a very low rate is assumed to be a determinant of circulating hsTnT, this phenomenon seems to be independent of an ischemic origin of the disease. Stretch of cardiac myocytes might lead to leakage of the cytosolic pool of troponin T by transient loss of cell membrane integrity. This reversible damage may contribute to the increase of circulating TnT caused by irreversible injury of cardiac myocytes. Indeed, elevated cTnT has been found to predict adverse outcomes in patients with idiopathic cardiomyopathy.8 It is unknown to what extent, if any, apoptosis contributes to troponin T elevation in chronic HF.41,42 Several other putative causes exist, however, for elevated cardiac troponin levels, including cardiopulmonary disease and chronic renal insufficiency.43,44 Various neurohormonal systems (renin-angiotensin-aldosterone, sympathetic drive) and inflammatory responses are also chronically activated in patients with HF (Table 1) and might contribute to myocyte injury and cell death. Whatever the determinants of increased hsTnT in patients from Val-HeFT, it should be kept in mind that the group as a whole did not show much evidence of progressive worsening of cardiac function because in the whole population LVEF increased by 3.4% absolute points, and LVIDD decreased by 0.13 cm over 1-year follow-up.
These data show for the first time that previously nonmeasurable levels of troponin T can have important prognostic value in the setting of stable chronic HF.
| Acknowledgments |
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Sources of Funding
The Val-HeFT trial was funded by Novartis Pharmaceuticals. Roche Diagnostics kindly offered reagents for cTnT and hsTnT assays.
Disclosures
Dr Latini has received grant support and honoraria from Novartis Pharmaceuticals Corporation and Roche Diagnostics. Drs Masson and Parrinello have received honoraria from Roche Diagnostics. Drs Anand, Maggioni, and Tognoni have received grant support and honoraria from Novartis Pharmaceuticals Corporation. Dr Cohn has received grant support, honoraria, and consulting fees from Novartis Pharmaceuticals Corporation and Roche Diagnostics. The remaining authors report no conflicts.
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