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(Circulation. 2004;110:128-134.)
© 2004 American Heart Association, Inc.
Original Articles |
From the Ospedale G.B. Morgagni and Fondazione Sacco, Forlì (M.G., F.O.); Ospedale Niguarda, Milan (L.O.); Ospedale Maggiore, Parma (D.A.); University of Florence, Florence (G.F.G.); ANMCO Research Center, Florence (A.P.M.); IRCCS Ospedale Maggiore and University of Milan, Milan (P.M.M.); Ospedale Monaldi, Naples (N.M.); Ospedale Maggiore della Carità, Novara (M.D.P.); Ospedale S. Filippo Neri, Rome (M.T.); Ospedale G.B. Morgagni, Forlì (A.V.); and Ospedale Galliera, Genova (C.V.), Italy.
Correspondence to Marcello Galvani, MD, Fondazione Cardiologica Sacco, Piazza F.lli Ruffini, 6, 47100 Forlì, Italy. E-mail galvanim{at}tin.it
Received June 16, 2003; de novo received January 11, 2004; revision received March 23, 2004; accepted March 24, 2004.
| Abstract |
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Methods and Results The NT-proBNP was measured at a median time of 3 hours after symptom onset in 1756 patients. The outcome measure was death at 30 days, which occurred in 113 patients (6.4%). The median NT-proBNP level was 353 ng/L (107 to 1357 ng/L). Compared with the lowest quartile, patients in the second, third, and fourth quartiles had a relative risk of subsequent death of 2.94 (95% CI, 1.15 to 7.52), 5.32 (95% CI, 2.19 to 12.91), and 11.5 (95% CI, 4.90 to 26.87), respectively. The NT-proBNP was independently associated with death in a logistic regression model, which included clinical variables, ECG, and troponin T in patients either with (OR of highest versus lowest quartile, 7.0; 95% CI, 1.9 to 25.6) or without (OR of highest versus lowest quartile, 4.1; 95% CI, 1.1 to 14.6) persistent ST-segment elevation. NT-proBNP was also an independent predictor of severe heart failure.
Conclusions The measurement of NT-proBNP on admission improves the early risk stratification of patients with ACS, suggesting the need for the development of targeted therapeutic strategies.
Key Words: natriuretic peptides myocardial infarction prognosis
| Introduction |
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B-type natriuretic peptide (BNP) is a circulating cardiac hormone released mainly from the ventricles in response to increased wall stretch.4 The BNP is produced as a prohormone, proBNP, which on secretion is split into BNP and N-terminal BNP (NT-proBNP). In patients, the proportional and absolute increases of NT-proBNP exceed those of BNP, suggesting that NT-proBNP may be a more sensitive marker of left ventricular (LV) dysfunction.5
The measurement of both BNP and NT-proBNP has been shown to be useful in detecting LV dysfunction,6,7 particularly after acute myocardial infarction (AMI), and to be related to poor outcome.8 It was recently shown that BNP and NT-proBNP also provide important prognostic information in patients with nonST-segment elevation AMI or unstable angina pectoris.911
In the present study, we evaluated the short-term prognostic value of the early measurement of NT-proBNP in a wide cohort of patients encompassing the whole spectrum of ACS.
| Methods |
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Patient enrollment started March 1, 1998, and ended June 30, 1999. The study protocol was approved by the institutional ethics committees, and all patients gave written informed consent to participate.
Resting ECG
The patients were divided into 4 mutually exclusive groups based on the ECG findings at presentation: (1) isolated T-wave inversions of more than 0.1 mV; (2) ST-segment depression
0.05 mV; (3) transient (less than 30 minutes) ST-segment elevation of at least 0.05 mV in at least 2 contiguous leads; and (4) persistent (more than 30 minutes) ST-segment elevation. Patients with left bundle-branch block were included in the group with persistent ST-segment elevation.
Definitions
Myocardial infarction (MI) as the index event was defined as creatine kinase (CK)-MB levels twice the upper reference limit in at least 2 blood samples collected within 16 hours after arrival. Subsequent MI was considered to be present in the case of recurrence of symptoms associated with new ST-T abnormalities and CK-MB levels twice the upper reference limit. Recurrent ischemic events were the combination of subsequent MI and recurrent angina (defined as recurrent chest pain associated with ST-T changes not satisfying the biochemical criteria for MI).
Severe heart failure was defined as the occurrence of acute pulmonary edema or cardiogenic shock.
Renal insufficiency was defined as a baseline creatinine value
2 mg/dL.
Laboratory Analysis
Blood samples were collected in tubes without anticoagulant. The samples were then centrifuged, and serum was stored frozen in aliquots at 70°C within 30 minutes.
Serum cardiac troponin T (cTnT) (third-generation assay) and serum NT-proBNP (proBNP sandwich immunoassay) were determined on an Elecsys 2010 (Roche Diagnostics). The analytical range of NT-proBNP assay extends from 5 to 35 000 ng/L. At our laboratory, the total coefficient of variation was 4.1% (n=15) at a level of 140 ng/L and 5.8% (n=18) at a level of 2700 ng/L.
CK-MB measurements were performed by local laboratories in each participating center, using commercial assays, at baseline and at 8, 16, and 24 hours after admission.
Study End Points and Follow-Up
The study end point was the occurrence of death at 30 days. Secondary end points were recurrent ischemic events and severe heart failure.
Follow-up was performed by outpatient visit in 97% of surviving patients and by telephone interview in the remaining 3%. Events were adjudicated by a clinical event committee unaware of results of the biochemical markers under study.
Statistical Analysis
Data analysis was performed using the Statistical Package for Social Sciences (SPSS 10.1) software (SPSS Inc). Patients were divided into quartiles on the basis of their NT-proBNP level. Differences in proportions were judged by
2 analysis. If not stated otherwise, continuous data are given as median value (25th to 75th percentile). Comparison of continuous data in 2 or more independent groups was performed with the Mann-Whitney U test and Kruskal-Wallis ANOVA, respectively. NT-proBNP and different variables were correlated with the Spearman rank-correlation coefficient. The Kaplan-Meier method was used to analyze the timing of events with log-rank test comparisons.
To assess the predictive value of NT-proBNP and TnT, receiver operating characteristic (ROC) curves were generated, and the area under the curves (AUC) was calculated. Optimal discrimination limits were identified at the cutpoint that maximizes sensitivity and specificity.
To identify independent predictors of outcome, all variables with a value of P<0.10 were tested in a multivariate logistic regression analysis using backward stepwise selection. Variables were entered if P<0.05 and removed if P>0.10.
| Results |
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Six hundred fifteen patients (35.0%) had ST-segment elevation MI (STEMI), and 1138 patients (64.8%) had no ST-segment elevation ACS (NSTE-ACS). In 3 patients (0.2%), the index diagnosis was not specified.
The NT-proBNP ranged from 5 to >35 000 ng/L, with a median of 354 ng/L (107 to 1358 ng/L); the median time from symptom onset to blood sampling was 3.0 hours (1.8 to 6.0 hours). In patients with STEMI, the median NT-proBNP was 201 ng/L (80 to 741 ng/L); the median time from symptom onset to blood sampling was 2.5 hours (1.5 to 4.0 hours). In patients with NSTE-ACS, the median NT-proBNP was 506 ng/L (144 to 1801 ng/L); the median time from symptom onset to blood sampling was 3.5 hours (2.0 to 7.5 hours).
One hundred thirteen patients (6.4%) died within 30 days. Two hundred thirty-seven patients (13.5%) had recurrent ischemic events (51 subsequent MI, 213 recurrent angina), and 67 (3.8%) had severe heart failure.
Association With Baseline Clinical Variables
Table 1 shows the univariate association of NT-proBNP with clinical, ECG, and biochemical variables. In addition, there was a weak relation between NT-proBNP and time from symptom onset to blood sampling (Spearman
=0.28; 2-tailed P=0.01) and between NT-proBNP and creatinine (Spearman
=0.23; 2-tailed P=0.01).
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Clinical Outcomes
Mortality
The unadjusted mortality rate increased directly across quartiles of NT-proBNP (P<0.0001) (Figure 1). This association was also highly significant in subgroups of patients who had STEMI and patients who had NSTE-ACS (Figure 2A). The same relationship was observed in the 1464 patients without a history of heart failure and in Killip class 1 at presentation (Figure 2B).
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When stratification was based on the level of TnT, NT-proBNP remained associated with a higher 30-day mortality in both STEMI and NSTE-ACS patients, particularly among the 1077 patients with TnT <0.1 µg/L (P=0.0001) (Figure 3).
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Table 2 shows the univariate and multivariate predictors of 30-day death. In the logistic regression model, in which we adjusted for the other independent predictors, NT-proBNP remained associated with an increased risk. No interaction was found between NT-proBNP and treatment options (including thrombolytic therapy, performed in 61% of patients with STEMI, and in-hospital revascularization, performed in 16.2% of the study population). In addition, there was no significant interaction between NT-proBNP and creatinine. When age, systolic blood pressure, TnT, and NT-proBNP were entered into the logistic regression model as continuous variables, NT-proBNP was still an independent predictor of death (Wald 8.091; P=0.0044). Furthermore, NT-proBNP was independently associated with death in patients with both STEMI and NSTE-ACS (Figure 4).
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Ischemic Events
The incidence of subsequent MI and recurrent ischemic events increased according to NT-proBNP quartiles (from 2.3% to 3.6%, P=NS, and from 10.6% to 18.6%, P=0.005, respectively). The risk of subsequent MI was not independently predicted by any variable. Previous MI, age
70 years, systolic blood pressure <100 mm Hg, troponin-T quartiles, and ST-segment depression, but not NT-proBNP quartiles, constituted independent predictors of recurrent ischemic events. The results were unchanged with NT-proBNP as a continuous variable.
Severe Heart Failure
The incidence of severe heart failure increased according to NT-proBNP quartiles (from 2.1% to 9.0%, P=0.0001). Previous MI, previous heart failure, Killip class >1, systolic blood pressure <100 mm Hg, age
70 years, the diagnosis of STEMI rather than NSTE-ACS, and NT-proBNP quartiles (Wald=11.552, P=0.009) were independent predictors of severe heart failure. The results were similar with NT-proBNP as a continuous variable (Wald=5.572, P=0.018).
Prognostic Accuracy of NT-proBNP
The AUC of NT-proBNP (0.727; 95% CI, 0.680 to 0.775) was significantly higher than that of cTnT (0.658; 95% CI, 0.604 to 0.712) (P=0.01) (Figure 5A). The NT-proBNP value yielding maximal sensitivity (78.9%) and specificity (56.7%) was 437 ng/L. The AUC of NT-proBNP for patients without a history of previous heart failure in Killip class 1 at presentation (n=1468) was similar to that of the general population (0.719; 95% CI, 0.653 to 0.766). The prognostic accuracy of NT-proBNP was similar in patients with STEMI (0.747; 95% CI, 0.680 to 0.814) and NSTE-ACS (0.735; 95% CI, 0.674 to 0.797) (Figure 5B). In patients with STEMI, the NT-proBNP value associated with maximal sensitivity (70.8%) and specificity (69.0%) was 437 ng/L; in patients with NSTE-ACS, it was 794 ng/L (sensitivity, 76.9%; specificity, 61.9%).
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| Discussion |
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Prognostic Value of Natriuretic Peptides in ACS
Previous studies had shown the prognostic value of natriuretic peptides, measured in the subacute phase, on mortality of patients with ACS ranging from STEMI to unstable angina.9,11,12 The value of early measurement of BNP and NT-proBNP has been less extensively studied.10,13
Our results, obtained at the earliest time from symptom onset, are in keeping with previous studies. In particular, they confirm the prognostic value of natriuretic peptides even in patients without heart failure as detected by patient history or at initial evaluation,11 the additional prognostic accuracy with respect to cardiac troponin,14 and the absence of predictive value for recurrent ischemic events.13 In addition to previous studies, however, we showed that NT-proBNP was an independent predictor of the short-term occurrence of severe heart failure and that it had independent prognostic value in patients with STEMI, with a prognostic accuracy similar to that observed in NSTE-ACS.
Significance of Early Measurement of NT-proBNP
The mechanisms potentially responsible for the strong association between NT-proBNP elevations and short-term mortality cannot be ascertained by the present study. However, BNP and NT-proBNP release may be triggered by transient or permanent ventricular dysfunction induced by myocardial ischemia.11 Moreover, the magnitude of the increase may reflect the extent of the ischemic injury, elevations being detected soon after the onset of myocardial ischemia.15,16 We measured NT-proBNP at a median time of 3 hours after the onset of ischemic symptoms. Such early increases may reflect the amount of the ischemic insult to the myocardium rather than the actual extent of myocardial necrosis. Accordingly, the prognostic accuracy of NT-proBNP was greater than that of TnT, suggesting that NT-proBNP may be considered as an early ischemic marker. Conversely, it is also possible that early NT-proBNP elevations reflect the consequences of repeated episodes of myocardial ischemia occurring in the past several hours or days.
Partially in contrast to cardiac troponin, NT-proBNP and BNP elevation is associated with several other risk factors for adverse outcome, including age, renal impairment, hypertension, and previous heart failure. As suggested by others,11 BNP and NT-proBNP may therefore also be considered a general marker for cardiac dysfunction.
It should be acknowledged that the prognostic value of NT-proBNP may be limited by the occurrence of elevations in clinical contexts different from myocardial ischemia, particularly in renal insufficiency.4 However, we were not able to show any significant interaction between NT-proBNP and creatinine.
NT-proBNP Prognostic Accuracy
The cutoff point derived from ROC analysis was very close to the median NT-proBNP level detected in our population, suggesting its use in clinical practice. However, because levels of NT-proBNP (and BNP) vary considerably according to index diagnosis17 and rise continuously during the first 24 hours,18 it is likely that prognostic cutoffs differ markedly according to these factors. We showed that patients with STEMI, having being admitted earlier, had lower NT-proBNP than patients with NSTE-ACS. Accordingly, the NT-proBNP cutoff in patients with STEMI was 1.8 times lower. Furthermore, it must be acknowledged that BNP and NT-proBNP concentrations differ by age, sex, and assay system.19
Study Limitations
We measured NT-proBNP in preserved samples obtained in a large fraction (89%) of patients initially enrolled in our prospective study; this is an accepted methodology, which, however, has inherent limitations. Because we measured NT-proBNP only once, we cannot exclude that elevations preceded the index event. However, even after adjustment for variables such as the presence or absence of a history of hypertension, heart failure, and renal insufficiency, the level of NT-proBNP remained predictive of the short-term risk of death. Furthermore, the lack of LV function data is an objective limitation of our study.
Conclusions
Our data suggest that NT-proBNP levels, measured at admission early after the onset of the ischemic episode, are strongly predictive of short-term mortality in patients with ACS. Our results have practical implications, because the electrochemiluminescence immunoassay we used has become commercially available. It is necessary, however, to wait for the results of future studies addressing the value of NT-proBNP measurements as a guide to different therapeutic strategies in patients with ACS to definitely establish the clinical value of NT-proBNP in acute myocardial ischemia. Such evidence is, at the present time, still conflicting.17,20
| Appendix |
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Steering Committee
G.F. Gensini, A.P. Maggioni, P.M. Mannucci, N. Mininni, F. Ottani, M.D. Prando, M. Tubaro, A. Vernocchi, C. Vecchio.
Coordinating Center
Fondazione Sacco, Forlì: D. Ferrini, C. Nanni, A. Ramberti; Executive Center: Centro Studi ANMCO, Firenze: D. Lucci; Clinical Events Committee: M. Carlà, R. Puggioni; Statistics: A. Morabito, Milano; Monitoring Center: Innovex, Monza: R. Candiani.
Participants
Ancona: C. Silenzi, A. Purcaro; Bari: M. Fusco, I. De Luca; Bentivoglio: G. Di Pasquale; Caserta: A. Vetrano, G. Corsini; Codogno: E. Colombi, C. Marinoni; Como: A. Politi, G. Ferrari; Forlì: F. Rusticali; Gallipoli: A. Pennetta, C. Schirinzi; Lecce: M. Quarta Colosso, F. Bacca; Legnago: M. Barbiero, G. Rigatelli; Lucca: R. Lorenzoni, E. Nannini; Messina: G. Di Tano, G. Consolo; Milano Niguarda-1: A. Mafrici, C. De Vita; Milano Niguarda-2: A. Pezzano; Milano S. Paolo: A. Cotroneo, C. Fiorentini; Mirandola: M. Gavioli, L. Gibertoni; Monza: S. Maggiolini, F. Valagussa; Napoli: C. Petrillo, N. Mininni; Novara: C. Cernigliaro; Pavia: A. Bertoletti, L. Tavazzi; Pinerolo: D. Sappè, E. Bellone; Pozzuoli: E. Murena, C. Scilla; Ravenna: S. Bellanti, A. Maresta; Roma San Camillo-1: A. Fiorella, E. Giovannini; Roma San Camillo-2: P. Celli, S.F. Vajola; Roma San Filippo Neri: M. Mennuni, M. Santini; Rovigo: D. Cavazzini, P. Zonzin; Senigallia: W. Mariotti, N. Ciampani; Treviso: C. Cavallini, P. Stritoni; Trieste: P. Maras, G. Sinagra; Varese: S. Provasoli, G. Binaghi.
| Acknowledgments |
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| Footnotes |
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| References |
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