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(Circulation. 2008;117:1936-1944.)
© 2008 American Heart Association, Inc.
Coronary Heart Disease |
From the TIMI Study Group (M.S.S., D.A.M., C.P.C.) and Cardiovascular Division (M.S.S., D.A.M., L.J.H., C.M., C.P.C., R.T.L.), Brigham and Womens Hospital, Department of Medicine, Harvard Medical School, Boston, Mass; Harvard Clinical Research Institute, Boston, Mass (W.G.); University of Freiburg, Freiburg, Germany (C.B.); Department of Laboratory Medicine and Pathology, Childrens Hospital, Boston, Mass (N.R.); and Cardiology Division and Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston (R.E.G.).
Correspondence to Marc S. Sabatine, MD, MPH, TIMI Study Group, Cardiovascular Division, Brigham and Womens Hospital, 75 Francis St, Boston, MA 02115. E-mail msabatine{at}partners.org
Received July 13, 2007; accepted February 8, 2008.
| Abstract |
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Methods and Results— We measured ST2 at baseline in 1239 patients with ST-elevation myocardial infarction from the CLopidogrel as Adjunctive ReperfusIon TherapY–Thrombolysis in Myocardial Infarction 28 (CLARITY-TIMI 28) trial. Per trial protocol, patients were to undergo coronary angiography after 2 to 8 days and were followed up for 30 days for clinical events. In contrast to NT-proBNP, ST2 levels were independent of clinical factors potentially related to chronic increased left ventricular wall stress, including age, hypertension, prior myocardial infarction, and prior heart failure; levels also were only modestly correlated with NT-proBNP (r=0.14). After adjustment for baseline characteristics and NT-proBNP levels, an ST2 level above the median was associated with a significantly greater risk of cardiovascular death or heart failure (third quartile: adjusted odds ratio, 1.42; 95% confidence interval, 0.68 to 3.57; fourth quartile: adjusted odds ratio, 3.57; 95% confidence interval, 1.87 to 6.81; P<0.0001 for trend). When both ST2 and NT-proBNP were added to a model containing traditional clinical predictors, the c statistic significantly improved from 0.82 (95% confidence interval, 0.77 to 0.87) to 0.86 (95% confidence interval, 0.81 to 0.90) (P=0.017).
Conclusions— In ST-elevation myocardial infarction, high baseline ST2 levels are a significant predictor of cardiovascular death and heart failure independently of baseline characteristics and NT-proBNP, and the combination of ST2 and NT-proBNP significantly improves risk stratification. These data highlight the prognostic value of multiple, complementary biomarkers of biomechanical strain in ST-elevation myocardial infarction.
Key Words: myocardial infarction natriuretic peptides prognosis
| Introduction |
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Clinical Perspective p 1944
However, the predictive value of ST2 levels independent of traditional clinical factors and of an established biomarker of left ventricular (LV) wall stress, namely N-terminal prohormone B-type natriuretic peptide (NT-proBNP), has not been established. Specifically, whether these 2 biomarkers offer complementary insights into cardiovascular pathophysiology or are redundant is unclear. For that reason, we conducted a comprehensive evaluation of ST2 and NT-proBNP in a large cohort of patients with ST-elevation myocardial infarction (STEMI). Our goals were to investigate the relation between ST2 and NT-proBNP levels and baseline clinical characteristics, to determine the association between angiographic parameters and serial ST2 and NT-proBNP levels, to examine the correlation between ST2 and NT-proBNP levels, to determine the predictive ability of ST2 levels for clinical outcomes independent of traditional clinical risk factors and NT-proBNP levels, and to ascertain the incremental value of adding biomechanical biomarkers to established clinical risk scores.
| Methods |
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Biomarkers
A sample of blood was obtained at the time of enrollment in 1277 subjects and at angiography in 914 subjects. The baseline characteristics and clinical outcomes were similar to those of the overall trial cohort. Serum was isolated within 1 hour of collection, frozen at
–20°C, and batch shipped on dry ice to the TIMI Biomarker Laboratory (Boston, Mass), where samples were stored at
–80°C until thawed for determination of biomarkers. NT-proBNP was measured in 1179 patients with the Elecsys 2010 (Roche Diagnostics, Indianapolis, Ind). The Elecsys proBNP Immunoassay has a lower limit of detection of 5 pg/mL and a coefficient of variation of 3.2% at 175 pg/mL. The upper reference limit reported by the manufacturer for patients <75 years of age is 125 pg/mL. ST2 was measured in 1239 patients with the Medical and Biological Labs immunoassay (Woburn, Mass), which has a lower limit of detection of 32 pg/mL and a coefficient of variation of 5.2% at 2.5 ng/mL. In individuals with stable coronary artery disease, levels are undetectable (R.T.L., unpublished observations, 2005). Levels of both biomarkers were obtained in 1167 patients. We measured only these 2 biomarkers for this experiment. All testing was performed by personnel blinded to patient characteristics, clinical outcomes, and treatment allocation.
Outcomes
Clinical outcomes for this analysis included cardiovascular death, congestive heart failure (CHF), recurrent MI, and stroke through 30 days of follow-up. Outcomes were defined according to previously reported criteria.9 Based on prior data for these 2 biomarkers, our primary hypothesis was that ST2 and NT-proBNP levels would be associated with cardiovascular death and heart failure.6,8 All ischemic events were adjudicated by a Clinical Events Committee that was blinded to assigned treatment arm. Information on the development of new or worsening CHF was collected from the case report forms. Angiographic outcomes, including TIMI flow grade and TIMI myocardial perfusion grade, were assessed in a blinded manner as previously defined at the TIMI Angiographic Core Laboratory.11,12 On ECG, complete ST-segment resolution was defined as
70% resolution after 90 minutes.13 All ECGs were interpreted at the TIMI Electrocardiography Core Laboratory by investigators who were blinded to treatment assignment and outcomes.
Statistical Analyses
ST2 and NT-proBNP levels are reported as median values with interquartile ranges (IQRs) because of their nonnormal distribution. Biomarkers were modeled as continuous variables and divided into quartiles and at the median. ANOVA and
2 tests for trend were used to compare baseline characteristics across biomarker quartiles. Spearman correlation coefficient was used to assess the correlation between biomarker values and other continuous variables. Comparison of serial biomarker values was conducted with the Wilcoxon signed-rank test. Wilcoxon rank-sum tests were used to compare biomarker levels between patients with and without specific angiographic and clinical outcomes. We used
2 tests for trend to compare the incidence of clinical outcomes across biomarker quartiles. Logistic regression was used to model the relationship between biomarker levels and outcomes with adjustment for age, sex, hypertension, diabetes mellitus, prior MI, prior CHF, creatinine clearance, infarct location (anterior versus nonanterior), Killip class, time from symptom onset to initiation of fibrinolytic therapy, type of lytic (fibrin-specific versus non–fibrin-specific lytic), and peak CK. The TIMI score for STEMI was calculated as previously described.14 Biomarkers were modeled as log-transformed continuous variables (with 1 added to all ST2 values because of 0 values) and as quartiles. The discriminative ability of multivariable models was assessed by computing the c statistic and was compared by use of a nonparametric test.15 Analyses were done with SAS version 9.1.3 (SAS Institute Inc, Cary, NC).
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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0.0002 for both) and were modestly associated with infarct location and Killip class (P<0.10 for both).
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Baseline measurements of NT-proBNP were available in 1179 patients. The median concentration of NT-proBNP was 104.4 pg/mL, and the 25th and 75th percentiles were 42.3 and 308.0 pg/mL, respectively. In contrast to the findings for ST2, higher baseline NT-proBNP levels were significantly associated with older age, female sex, prior hypertension, not being a current smoker, prior MI, prior CHF, and lower creatinine clearance (P
0.01 for all; Table 2). In terms of index presentation, higher baseline NT-proBNP levels were significantly associated with increasing time from symptom onset to initiation of fibrinolytic therapy, anterior location of the MI, and Killip class II to IV (P<0.001 for all) but not peak CK (P=0.91). The correlation between baseline NT-proBNP and ST2 levels was slight (r=0.14), albeit statistically significant (P<0.001).
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Biomarkers at the Time of Angiography
ST2 and NT-proBNP levels also were determined at the time of angiography (mean, 96±51 hours after randomization) in 898 and 890 patients, respectively. The median concentration of ST2 at the time of angiography was 30 pg/mL, and the 25th and 75th percentiles were 0 and 194 pg/mL, respectively. ST2 values had modestly but statistically significantly decreased by the time of angiography (median difference, –9 pg/mL; IQR, –173 to 80 pg/mL; P=0.0003; Figure 1A). The median concentration of NT-proBNP at angiography was 591.4 pg/mL, and the 25th and 75th percentiles were 284.1 and 1380.0 pg/mL, respectively. In contrast to ST2, NT-proBNP values at the time of angiography were significantly higher than at baseline (Figure 1B), with the median difference being 386.3 pg/mL (IQR, 97.5 to 1001.7; P<0.0001). Factors associated with a significant increase in NT-proBNP from baseline to angiography included MI location (anterior: 464.4 pg/mL; IQR, 63.4 to 1651.8 pg/mL; nonanterior: 348.4 pg/mL; IQR, 107.8 to 782.2 pg/mL; P=0.01) and ST-segment resolution at 90 minutes (complete: 355.1 pg/mL; IQR, 135.1 to 756.3 pg/mL; incomplete: 505.2 pg/mL; IQR, 129.7 to 1313.3 pg/mL; P=0.06). No correlation was found between the time to angiography and the change in either ST2 or NT-proBNP levels from baseline to angiography (|r|<0.02 and P=NS for both).
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The associations between angiographic parameters and ST2 and NT-proBNP levels at angiography are shown in Table 3. Impaired epicardial flow and lack of myocardial perfusion were each strongly associated with
4-fold-higher ST2 levels (P<0.002). Both angiographic parameters also were associated with nearly 2-fold-higher NT-proBNP levels, as was having a left anterior descending culprit artery. In patients in whom LV ejection fraction was measured (575 of whom had ST2 measured and 551 of whom had NT-proBNP measured), ST2 was only weakly correlated with ejection fraction (r=–0.17, P<0.001), whereas NT-proBNP was moderately correlated with ejection fraction (r=–0.45, P<0.0001).
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Cardiovascular Outcomes
Baseline levels of both ST2 and NT-proBNP were significantly higher in patients who suffered cardiovascular death and in patients who developed CHF than in those who did not (Table 4). Levels of NT-proBNP also were higher in patients who suffered a stroke than in those who did not. The reverse pattern was seen with recurrent MI, with lower levels in patients who had recurrent MI than in those who did not. A 1-SD increase in log-transformed ST2+1 was associated with a 2.43-fold increase in the odds of cardiovascular death or heart failure over 30 days (95% confidence interval [CI], 1.67 to 3.53; P<0.001). Similarly, a 1-SD increase in log-transformed NT-proBNP was associated with a 1.67-fold increase in the odds of cardiovascular death or heart failure over 30 days (95% CI, 1.47 to 1.89; P<0.001). In quartile analysis, the risk of cardiovascular death or heart failure over 30 days increased significantly with increasing quartiles of ST2 (P<0.0001; Figure 2A) and with increasing quartiles of NT-proBNP (P<0.0001; Figure 2B), especially in the third and fourth quartiles. ST2 and NT-proBNP were significant predictors of cardiovascular death or heart failure both in patients who did (P=0.007 for trend across ST2 quartiles, P<0.001 for trend across NT-proBNP quartiles) and in those who did not (P<0.001 for both biomarkers) undergo coronary revascularization.
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When patients were categorized on the basis of both baseline and angiography biomarker values (dichotomized as below versus above the median), 2 different patterns were apparent for the 2 biomarkers (Figure 3). For ST2, elevated levels at baseline (odds ratio [OR], 3.02; 95% CI 1.40 to 6.51; P=0.005) were a better predictor of risk than elevated levels at angiography (OR, 1.33; 95% CI, 0.68 to 2.63; P=0.41), whereas for NT-proBNP, elevated levels at angiography (14.94; 95% CI, 3.50 to 63.79; P<0.001) were a better predictor of risk than elevated levels at baseline (OR, 1.30; 95% CI, 0.61 to 2.74; P=0.50).
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Multivariable and Multimarker Analyses
In multivariable analysis, after adjustment for traditional risk factors, including age, sex, hypertension, diabetes mellitus, prior MI, prior CHF, creatinine clearance, infarct location, Killip class, time from symptom onset to initiation of fibrinolytic therapy, type of lytic, and peak CK, a 1-SD increase in log-transformed ST2+1 was associated with a 1.94-fold increase in the odds of cardiovascular death or CHF over 30 days (95% CI, 1.25 to 3.03; P=0.003). Analogously, in quartile analysis, patients with higher baseline ST2 levels were at significantly increased risk for cardiovascular death or CHF, with adjusted ORs of 1.44 (95% CI, 0.71 to 2.94) for those in the third quartile and 3.41 (95% CI, 1.84 to 6.31) for those in the fourth quartile compared with those below the median (P=0.006 for trend). CK-MB was available in a smaller subset of the population; nonetheless, substitution of CK-MB for CK in the multivariable model did not change the results substantially (adjusted OR for risk in the fourth quartile, 3.28). Adding ST-segment resolution of 90 minutes to the model did not attenuate the effect estimates (OR, 1.40; 95% CI, 0.57 to 3.46 for those in the third quartile of ST2; and OR, 3.83; 95% CI, 1.80 to 8.16 for those in the fourth quartile). Although ejection fraction was available in only a subset of patients (n=575) and was determined on average 4 days after presentation, adding ejection fraction to the multivariable model did not attenuate the prognostic significance of ST2 (OR, 1.50; 95% CI, 0.36 to 6.24 for those in the third quartile of ST2; and OR, 4.49; 95% CI, 1.34 to 15.02 for those in the fourth quartile).
Similarly, after multivariable adjustment for traditional risk factors, a 1-SD increase in log-transformed NT-proBNP was associated with a 1.46-fold increase in the odds of cardiovascular death or CHF over 30 days (95% CI, 1.22 to 1.76; P<0.001). In quartile analysis, patients with higher baseline levels of NT-proBNP were at significantly increased risk for cardiovascular death or CHF, with adjusted ORs of 1.43 (95% CI, 0.66 to 3.06) for those in the third quartile and 2.86 (95% CI, 1.41 to 5.77) for those in the fourth quartile compared with those below the median (P=0.004 for trend). Again, substitution of CK-MB for CK in the multivariable model diminished the risk associated with an elevated NT-proBNP (adjusted OR for risk in fourth quartile, 3.62).
In a multimarker model that included traditional risk factors and both ST2 and NT-proBNP, both biomarkers remained independent predictors of cardiovascular death or CHF, with an OR per 1-SD increase in log-transformed ST2+1 of 1.88 (95% CI, 1.17 to 3.03; P=0.009) and per 1-SD increase in log-transformed NT-proBNP of 1.41 (95% CI, 1.17 to 1.69; P<0.001) and with analogously significant trends in quartile analysis (P<0.0001 for ST2, P=0.013 for NT-proBNP; Figure 4). When the biomarkers were added to a model containing the aforementioned clinical covariates, the c statistic significantly improved from 0.82 (95% CI, 0.77 to 0.87) to 0.86 (95% CI, 0.81 to 0.90; P=0.017).
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The adjusted ORs for the risk of cardiovascular death or CHF for various combinations of elevations of each biomarker (Table 5) show a stepwise increase in risk with both biomarkers, particularly when at least one of them is in the fourth quartile. When added to the TIMI Risk Score for STEMI, ascertainment of whether either or both ST2 and NT-proBNP were above the median provided additional, significant risk stratification (P=0.001; Figure 5). This was especially apparent in patients with a TIMI Risk Score of <4, in whom further classification by biomarker status allowed an
6-fold gradient of risk stratification (OR, 6.2; 95% CI, 2.0 to 18.9). The addition of biomarker status to the TIMI Risk Score significantly improved the c statistic from 0.73 (95% CI, 0.68 to 0.78) to 0.78 (95% CI, 0.74 to 0.83; P=0.0025).
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| Discussion |
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In prior studies, we have shown that circulating levels of ST2 could be detected in the serum of patients after acute MI and that those levels were associated with an increased risk of death and heart failure.7,8 Now, by using a large cohort of patients with STEMI, we have been able to advance our understanding of the significance of ST2 and its relation to an established biomarker of LV wall stress, NT-proBNP, in this setting. First, in terms of baseline variables, we found that ST2 levels on presentation were not associated with clinical characteristics potentially related to chronic increased LV wall stress such as age, sex, hypertension, prior MI, and prior CHF. This independence was in sharp contrast to NT-proBNP levels, which were strongly related to all of the aforementioned characteristics. Furthermore, ST2 levels were strongly associated with peak CK, whereas NT-proBNP levels were strongly associated with infarct location and Killip class. These fundamental differences help to explain why we observed only a weak correlation between ST2 and NT-proBNP levels.
Second, we were able to examine the changes in both ST2 and NT-proBNP levels over time. ST2 levels modestly but significantly decreased from baseline to angiography (an average of 4 days later). In contrast, NT-proBNP levels increased nearly 6-fold over the same time period. Accordingly, for ST2, levels at baseline rather than subsequent values appeared more predictive of risk of cardiovascular death or heart failure, whereas for NT-proBNP, subsequent values appeared more predictive. These observations likely stem from the differences in the kinetics of the 2 biomarkers. Ex vivo data from cardiac myocytes subjected to biomechanical strain showed that maximal induction of ST2 transcription occurred by 2 hours, is sustained for 9 hours, and then declines by 15 hours, whereas maximal induction of BNP transcription remains elevated through at least 48 hours.7,16 We observed greater increases in NT-proBNP in patients with anterior MI and lack of ST-segment resolution at 90 minutes. Moreover, we demonstrated that the magnitude of elevation of both ST2 and NT-proBNP after fibrinolytic therapy is directly related to both impaired epicardial flow in and impaired myocardial perfusion downstream of the culprit artery. However, it should be noted that the range of values in those with and without reperfusion overlap; thus, neither biomarker is ideally suited to discriminate reperfusion status. Whereas NT-proBNP was moderately strongly correlated with LV ejection fraction at the time of angiography, ST2 was not.
Third, we demonstrated that an elevated ST2 level at baseline is a significant predictor of cardiovascular death or heart failure through 30 days. Importantly, ST2 added to traditional risk factors and provided prognostic information that was independent of and complementary to NT-proBNP levels. Moreover, adding ST2 and NT-proBNP either to a comprehensive multivariable model or to the TIMI Risk Score for STEMI resulted in significantly improved risk stratification and discrimination, as evidenced by a significantly higher c statistic. In practical terms, a patient with a low TIMI Risk Score for STEMI (0 to 1) but elevated ST2 and NT-proBNP levels is at a risk of cardiovascular death or CHF that is similar to that of a patient with a high TIMI Risk Score for STEMI (
4) but low levels of ST2 and NT-proBNP.
As we better define the epidemiological characteristics and prognostic significance of ST2, the fundamental biology of ST2 in the heart also is emerging. ST2, a member of the IL-1 receptor family, also is known as IL-1 receptor-like-1. Soluble and membrane receptor forms are produced by alternative promoter usage. We have previously shown that mechanical strain induces the expression of soluble ST2 by both cardiomyocytes and cardiac fibroblasts. After an intense search for more than a decade, the functional ligand for this orphan receptor was recently found to be IL-33.17 We have recently demonstrated that IL-33 also is a biomechanically induced protein that is synthesized primarily by cardiac fibroblasts.18 Furthermore, we have shown that IL-33 protects the myocardium during experimental pressure overload and that soluble ST2 can block the antihypertrophic effects of IL-33. In mice subjected to pressure overload, recombinant IL-33 reduces fibrosis and improves survival in wild-type but not in ST2 knockout mice. Thus, IL-33/ST2 signaling may serve as a crucial cardioprotective response to biomechanical strain.
Potential limitations of the study merit consideration. Because CLARITY-TIMI 28 excluded patients >75 years of age, those with serum creatinine >2.5 mg/dL, and those in cardiogenic shock, we cannot comment on the utility of ST2 in such individuals, who are at very high risk for death and heart failure. It will be important to assess the utility of ST2 in cohorts that contain such patients. Furthermore, the predictive ability of ST2 in patients undergoing primary PCI remains unknown. Levels of ST2 were below the limit of detection in 30% of the population. Although we saw no gradient of risk within the bottom half of ST2 values in this population, the development of more sensitive assays may be useful in risk stratification in patients with less severe myocardial injury. Heart failure was not adjudicated by a clinical events committee. However, any misclassification should be random with respect to biomarker levels and thus typically would bias only toward the null hypothesis.19 Finally, ejection fraction was not necessarily determined with 3-dimensional imaging.
With regard to future directions, the protective effect of the IL-33/ST2 system observed in animal models raises the possibility that soluble ST2 may be maladaptive. Consequently, the higher levels of ST2 we observed in patients with STEMI who ultimately experienced death or heart failure may have directly contributed to those outcomes. Further studies are needed to elucidate whether soluble ST2 is a risk marker or a direct risk factor. Moreover, when a robust assay for IL-33 is available, determination of circulating levels in our patient cohort should shed additional light on the prognostic relevance of the IL-33/ST2 system.
| Conclusions |
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| Acknowledgments |
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Drs Sabatine, Morrow, and Gerszten are supported in part by a grant from the National Institutes of Health (U01 HL083-1341). The reagent for NT-proBNP testing was generously supplied by Roche Diagnostics. The parent clinical trial, CLARITY-TIMI 28, was supported in part by the pharmaceutical partnership of Sanofi-Aventis and Bristol-Myers Squibb.
Disclosures
Dr Sabatine reports having received research grant support from diaDexus and Roche and honoraria from diaDexus. Dr Morrow reports having received research grants from Bayer, Beckman-Coulter, Biosite, GlaxoSmithKline, Ortho-Clinical Diagnostics, and Roche; having received honoraria from Bayer, Beckman-Coulter, Dade-Behring, and Roche; and having served on advisory boards for Critical Diagnostics, GlaxoSmithKline, Beckman-Coulter, and Ortho-Clinical Diagnostics. Brigham and Womens Hospital has filed for patents on ST2, listing Dr Lee as the inventor. The other authors report no conflicts.
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| Footnotes |
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