Future of Biomarkers in Acute Coronary Syndromes
2003; Lippincott Williams & Wilkins; Volume: 108; Issue: 3 Linguagem: Inglês
10.1161/01.cir.0000078080.37974.d2
ISSN1524-4539
AutoresDavid A. Morrow, Eugene Braunwald,
Tópico(s)Cardiac electrophysiology and arrhythmias
ResumoHomeCirculationVol. 108, No. 3Future of Biomarkers in Acute Coronary Syndromes Free AccessEditorialPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessEditorialPDF/EPUBFuture of Biomarkers in Acute Coronary SyndromesMoving Toward a Multimarker Strategy David A. Morrow and Eugene Braunwald David A. MorrowDavid A. Morrow From the TIMI Study Group and Cardiovascular Division, Department of Medicine, Harvard Medical School and Brigham & Women's Hospital, Boston, Mass. and Eugene BraunwaldEugene Braunwald From the TIMI Study Group and Cardiovascular Division, Department of Medicine, Harvard Medical School and Brigham & Women's Hospital, Boston, Mass. Originally published22 Jul 2003https://doi.org/10.1161/01.CIR.0000078080.37974.D2Circulation. 2003;108:250–252Clinicians have become increasingly sophisticated in their application of cardiac biomarkers in the management of acute coronary syndromes (ACS). In the 1950s, clinical investigators first reported that proteins released from necrotic cardiac myocytes could be detected in the serum and could aid in the diagnosis of acute myocardial infarction.1 The ensuing 40 years witnessed progressive improvement in the cardiac tissue-specificity of biomarkers of myocardial necrosis and a corresponding enhancement in the clinical sensitivity and specificity of their use for establishing the diagnosis of acute myocardial infarction. Over the past decade, the emergence of convincing evidence for the value of cardiac troponin in guiding therapy has dramatically accelerated the integration of cardiac biomarkers into clinical decision-making for patients with ACS.2 Concurrently, advances in our understanding of the pathogenesis and consequences of acute coronary atherothrombosis have stimulated the development of new biomarkers and created the opportunity for an expanded role of multiple biomarkers, some old and others new, in the classification and individualization of treatment for ACS.3,4 The report by James et al5 in the present issue of Circulation adds substantially to the accumulating evidence that a multimarker strategy, employing a pathobiologically diverse set of biomarkers,3 is likely to add importantly to cardiac-specific troponin alone in the risk assessment of patients with ACS.See p 275Characterizing the Pathogenesis of ACSACS is a complex syndrome with multiple causes, analogous to anemia or hypertension.6 As such, treatment is likely to be most effective when directed at the underlying cause of the disease. Five principal causes of ACS have been described; these include (1) plaque rupture with acute thrombosis, (2) progressive mechanical obstruction, (3) inflammation, (4) secondary unstable angina, and (5) dynamic obstruction (coronary vasoconstriction).7 It is rare that any of these contributors exists in isolation. However, patients with ACS may vary substantially with respect to the mixture of contributions from each of these major mechanisms and are likely to benefit from different therapeutic strategies.7 For example, coronary vasodilators (nitrates and calcium channel antagonists) are most useful in patients with predominantly dynamic obstruction. Moreover, the risk of subsequent death and/or recurrent ischemic events among patients with ACS also varies widely, depending on the presence or absence of irreversible myocyte injury, the hemodynamic consequences of ischemia and/or infarction, and the extent and tempo of atherosclerotic vascular disease.With the emergence of novel, sensitive biomarkers of inflammation, myocyte necrosis, vascular damage, and hemodynamic stress, it is becoming possible to characterize noninvasively the participation of different contributors in any individual patient. For example, detection of cardiac troponin in the blood of patients with non-ST-elevation ACS is not only indicative of myocardial necrosis, but it is also associated with the presence of intracoronary thrombus and distal embolization of platelet microaggregates.2,8 These pathobiological links to elevated levels of cardiac troponin are likely to underlie, at least in part, the value of this biomarker in targeting potent antithrombin and antiplatelet therapy.2 As a second example, high-sensitivity testing for C-reactive protein (CRP) has emerged as a convenient tool for detecting low-level systemic inflammation that portends a higher risk of developing atherothrombotic vascular disease9 and poor short- and long-term prognosis in patients after ACS.10,11 Although the precise mechanistic links between inflammation and risk in ACS are not conclusively established, it is plausible that elevated levels of circulating markers of inflammation reflect an intensification of focal inflammatory processes that destabilize vulnerable plaques.9 In addition, growing evidence implicates CRP as a mediator, in addition to a marker, of atherothrombosis.12The present work by James et al5 highlights 2 additional biomarkers, a natriuretic peptide and creatinine clearance, that may provide additional pathophysiological insight and add to a strategy for comprehensive risk assessment.Natriuretic Peptides in Patients With ACSB-type natriuretic peptide (BNP) is a 32 amino-acid peptide that is released predominantly from ventricular myocardium in response to increased ventricular wall stress.13 BNP is produced as a pro-hormone that is cleaved toward the N-terminal to produce BNP and the terminal portion, NT-proBNP. Both BNP and NT-proBNP have been shown to aid in the diagnosis of heart failure and to correlate with functional status among patients with CHF.14 Levels of BNP and NT-proBNP also correlate with left ventricular dilatation, remodeling, and dysfunction, as well as congestive heart failure and death among patients presenting with acute myocardial infarction.13,15 Including the present report, at least 5 studies have now demonstrated a robust association between BNP or NT-proBNP and the short- and long-term risk of death across the spectrum of non-ST-elevation ACS,4,5,16–18 including patients without myocardial necrosis or clinical evidence of heart failure.4In some patients with ACS, elevated levels of BNP directly reflect the degree of left ventricular dysfunction resulting from acute myocardial infarction. However, the strong association between levels of BNP/NT-proBNP and mortality among patients without measurable myocyte necrosis (ie, release of cardiac troponin) indicate that the level of BNP may reflect the extent or severity of the ischemic insult, even when irreversible injury has not occurred. Several additional observations support this hypothesis.13 Specifically, levels of BNP increase transiently after uncomplicated coronary angioplasty in the presence of stable intracardiac filling pressure, as well as after exercise-induced ischemia in patients with stable coronary artery disease.13 Together, these findings suggest that transient ischemia may induce BNP synthesis and release in proportion to the severity of myocardial ischemia. As such, BNP adds a new dimension to our ability to quantify the consequences of acute myocardial ischemia.Renal Dysfunction and the Risk of Cardiovascular EventsThe finding that the relationship between NT-proBNP and mortality is unaltered in the presence of renal dysfunction is an important and novel element of the report from James et al.5 Moreover, the observation that NT-proBNP and creatinine clearance provide complementary information with respect to mortality is noteworthy and points toward creatinine clearance as a valuable component of a multimarker approach to risk stratification in ACS. Prior studies have demonstrated that impaired renal function is associated with higher mortality in patients with ACS19–21 and have led to the incorporation of an assessment of renal function into several clinical tools for risk assessment. Patients with ST-elevation myocardial infarction and renal dysfunction are less likely to be treated with aspirin, β-blockers, fibrinolysis, and angioplasty,22 but they also remain at increased risk, even when aggressive treatment is administered.21 It has been proposed that creatinine clearance is an inverse integrated measure of the cumulative extent of vascular damage caused by a varied group of insults to the vascular endothelium (eg, hypertension, dyslipidemia, hyperhomocystinemia, and diabetes).23 As such, creatinine clearance (and/or microalbuminuria) may serve as a more direct measure of the end-organ consequences of vascular risk factors than as an assessment of the individual risk factors alone.Other indicators of accelerated atherogenesis contribute additional information toward a cumulative assessment of risk for the individual patient. Patients with diabetes and the closely related metabolic syndrome are at 2- to 8-fold higher risk of first acute myocardial infarction, higher risk of death and recurrent ischemic events after presentation with ACS, and experience poorer outcomes after revascularization procedures. Hemoglobin A1c and blood glucose are obviously markers of this important risk factor.Putting It All Together: Implications for Prognosis and TherapyJames et al5 have contributed importantly to the growing base of evidence demonstrating that combining a biomarker of hemodynamic stress (BNP or NT-proBNP) or of inflammation (high-sensitivity CRP) with a biomarker of necrosis (cardiac troponin) enhances risk assessment among patients with ACS.4,5,10,11,16–18 Specifically, elevated levels of CRP and BNP at presentation identify patients who are at higher mortality risk, irrespective of whether or not there is detectable elevation of troponin.4,10 Sabatine et al3 have shown that it is possible to use a simple multimarker approach combining each of these markers (BNP, CRP, cardiac troponin), assigning 1 point for each elevated marker, to improve risk stratification. With this simple strategy, a 6- to 13-fold gradient of mortality risk may be established between those without elevation of any marker and those in whom all 3 markers are elevated. The present report5 suggests that creatinine clearance will enhance risk assessment if included in a multimarker approach (Figure). Download figureDownload PowerPointBiomarker profile in acute coronary syndromes. hs-CRP indicates high-sensitivity CRP; CrCl, creatinine clearance; and HbA1c, hemoglobin A1c.Other biomarkers, such as soluble CD40 ligand (a marker of platelet activation and a potential direct participant in plaque destabilization), metalloproteinases (enzymes that disrupt the integrity of the atheroma's protective cap), and/or ischemia-modified albumin (a putative marker of myocardial ischemia), could be added to or replace the existing biomarkers in this paradigm if shown to contribute additional independent information. In particular, proteomic and genomic strategies for novel marker discovery are likely to extend this approach. Moreover, as point-of-care technology continues to advance, each of these biomarkers might be incorporated into a single cassette offering a rapidly and conveniently obtained multimarker profile to guide risk assessment and therapeutic decision-making.Limitations and ChallengesAlthough the evidence that a multimarker approach can be valuable for comprehensive risk assessment is compelling, several limitations must be recognized. First, the relative risk relationships for the individual biomarkers and specific endpoints differ. For example, although BNP and NT-proBNP are potent predictors of mortality risk, they exhibit a weak association with recurrent ischemic events4,5; similar data exist for CRP. Thus, the optimal weighting of each marker for assessment of mortality risk will differ from that for evaluating the risk of recurrent myocardial infarction. In addition, the ultimate test of a multimarker paradigm will be its value in therapeutic decision-making. Although the appropriate clinical responses to an elevated level of troponin in patients with suspected ACS is well defined,2 to date we do not have a consistent base of evidence to guide treatment in response to elevated levels of BNP or CRP in this setting. Nevertheless, there is reason for optimism that appropriate therapeutic responses to different patterns of biomarker elevation in ACS will be defined.An intense effort is underway to identify therapies that modify the risk associated with inflammation and plaque instability. Laboratory and clinical studies have revealed anti-inflammatory effects of established treatments aimed at other participants in atherothrombosis (eg, aspirin, statins, angiotensin-converting enzyme inhibitors, and clopidogrel). For example, clopidogrel decreases the expression of CD40 ligand and may have a greater impact on reducing ischemic events after percutaneous coronary intervention in patients with elevated markers of inflammation.24 Also, agonists of the protein peroxisome proliferator-activated receptor (PPAR)-α, such as fibric acid derivatives, can reduce the expression of adhesion molecules on vascular endothelial cells, inhibit T-lymphocyte function, improve vascular reactivity, and reduce production of the potent procoagulant tissue factor. Likewise, the family of insulin-sensitizing thiazolidinediones that act through PPAR-γ are now appreciated to exert anti-inflammatory actions; they reduce CRP and other inflammatory mediators in patients with diabetes.9 They may thereby slow the tempo of atherosclerosis in these patients. Other therapies will no doubt emerge from specific targets revealed by recent advances in vascular biology.Similar investigation targeted at modifying the risk associated with elevated levels of natriuretic peptides and impaired renal dysfunction is not as far advanced. Because BNP levels are associated with left ventricular dysfunction as well as the extent of coronary artery disease, it is reasonable to hypothesize that early invasive evaluation and revascularization will reduce the risk linked to higher levels of BNP. However, the available data addressing this hypothesis have not supported an interaction between BNP and the benefits of early invasive management.4 Additional investigation is needed to address the therapeutic implications of elevated levels of BNP. Similarly, few data are available to guide specific interventions in patients with reduced creatinine clearance, except that such patients seem to have a benefit from an invasive strategy.19 It is possible that the most effective treatments for this population are preventive.21ConclusionsThe clinical application of cardiac biomarkers in ACS is no longer limited to establishing or refuting the diagnosis of myocardial necrosis. Cardiac biomarkers provide a convenient and noninvasive means to gain insights into the underlying causes and consequences of ACS that mediate the risk of recurrent events and may be targets for specific therapeutic interventions. As our understanding of the pathogenesis of ACS advances and new markers and therapies are discovered, a multimarker paradigm using a combination of both established and new markers for risk assessment and clinical decision-making has the potential to improve substantially the outcomes in patients with ACS.The opinions expressed in this editorial are not necessarily those of the editors or of the American Heart Association.FootnotesCorrespondence to Eugene Braunwald, MD, TIMI Study Group, 350 Longwood Ave, 1st Floor, Boston, MA 02115. E-mail [email protected] References 1 Karmen A, Wroblewski F, LaDue JS. Transaminase activity in human blood. J Clin Invest. 1955; 34: 126–133.CrossrefMedlineGoogle Scholar2 Morrow DA. Troponins in patients with acute coronary syndromes: biologic, diagnostic, and therapeutic implications. Cardiovascular Toxicology. 2001; 1: 105–110.CrossrefMedlineGoogle Scholar3 Sabatine MS, Morrow DA, de Lemos JA, et al. Multimarker approach to risk stratification in non-ST elevation acute coronary syndromes: simultaneous assessment of troponin I, C-reactive protein, and B-type natriuretic peptide. Circulation. 2002; 105: 1760–1763.LinkGoogle Scholar4 Morrow DA, de Lemos JA, Sabatine MS, et al. Evaluation of B-type natriuretic peptide for risk assessment in unstable angina/non-ST elevation MI: BNP and prognosis in TACTICS-TIMI 18. J Am Coll Cardiol. 2003; 41: 1264–1272.CrossrefMedlineGoogle Scholar5 James SK, Lindahl B, Siegbahn A, et al. N-terminal pro-brain natriuretic peptide and other risk markers for the separate prediction of mortality and subsequent myocardial infarction in patients with unstable coronary artery disease: a Global Utilization of Strategies To Open occluded arteries (GUSTO)-IV substudy. Circulation. 2003; 108: 275–281.LinkGoogle Scholar6 Braunwald E. Unstable angina: a classification. Circulation. 1989; 80: 410–414.CrossrefMedlineGoogle Scholar7 Braunwald E. Unstable angina: an etiologic approach to management. Circulation. 1998; 98: 2219–2222.CrossrefMedlineGoogle Scholar8 Wong GC, Morrow DA, Murphy S, et al. Elevations in troponin T and I are associated with abnormal tissue level perfusion: a TACTICS-TIMI 18 substudy: Treat Angina with Aggrastat and Determine Cost of Therapy with an Invasive or Conservative Strategy-Thrombolysis in Myocardial Infarction. Circulation. 2002; 106: 202–207.LinkGoogle Scholar9 Libby P, Ridker PM, Maseri A. Inflammation and atherosclerosis. Circulation. 2002; 105: 1135–1143.CrossrefMedlineGoogle Scholar10 Morrow DA, Rifai N, Antman EM, et al. C-reactive protein is a potent predictor of mortality independently of and in combination with troponin T in acute coronary syndromes: a TIMI 11A substudy: Thrombolysis in Myocardial Infarction. J Am Coll Cardiol. 1998; 31: 1460–1465.CrossrefMedlineGoogle Scholar11 Lindahl B, Toss H, Siegbahn A, et al. Markers of myocardial damage and inflammation in relation to long-term mortality in unstable coronary artery disease: FRISC study group: Fragmin during Instability in Coronary Artery Disease. N Engl J Med. 2000; 343: 1139–1147.CrossrefMedlineGoogle Scholar12 Pasceri V, Willerson JT, Yeh ET. Direct proinflammatory effect of C-reactive protein on human endothelial cells. Circulation. 2000; 102: 2165–2168.CrossrefMedlineGoogle Scholar13 de Lemos JA, Morrow DA. Brain natriuretic peptide measurement in acute coronary syndromes: ready for clinical application? Circulation. 2002; 106: 2868–2870.LinkGoogle Scholar14 Maisel AS, Krishnaswamy P, Nowak RM, et al. Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure. N Engl J Med. 2002; 347: 161–167.CrossrefMedlineGoogle Scholar15 Richards AM, Nicholls MG, Yandle TG, et al. Plasma N-terminal pro-brain natriuretic peptide and adrenomedullin: new neurohormonal predictors of left ventricular function and prognosis after myocardial infarction. Circulation. 1998; 97: 1921–1929.CrossrefMedlineGoogle Scholar16 de Lemos JA, Morrow DA, Bentley JH, et al. The prognostic value of B-type natriuretic peptide in patients with acute coronary syndromes. N Engl J Med. 2001; 345: 1014–1021.CrossrefMedlineGoogle Scholar17 Omland T, de Lemos JA, Morrow DA, et al. Prognostic value of N-terminal pro-atrial and pro-brain natriuretic peptide in patients with acute coronary syndromes. Am J Cardiol. 2002; 89: 463–465.CrossrefMedlineGoogle Scholar18 Jernberg T, Stridsberg M, Venge P, et al. N-terminal pro brain natriuretic peptide on admission for early risk stratification of patients with chest pain and no ST-segment elevation. J Am Coll Cardiol. 2002; 40: 437–445.CrossrefMedlineGoogle Scholar19 Januzzi JL, Cannon CP, DiBattiste PM, et al. Effects of renal insufficiency on early invasive management in patients with acute coronary syndromes (The TACTICS-TIMI 18 Trial). Am J Cardiol. 2002; 90: 1246–1249.CrossrefMedlineGoogle Scholar20 Al Suwaidi J, Reddan DN, Williams K, et al. Prognostic implications of abnormalities in renal function in patients with acute coronary syndromes. Circulation. 2002; 106: 974–980.LinkGoogle Scholar21 Wright RS, Reeder GS, Herzog CA, et al. Acute myocardial infarction and renal dysfunction: a high-risk combination. Ann Intern Med. 2002; 137: 563–570.CrossrefMedlineGoogle Scholar22 Shlipak MG, Heidenreich PA, Noguchi H, et al. Association of renal insufficiency with treatment and outcomes after myocardial infarction in elderly patients. Ann Intern Med. 2002; 137: 555–562.CrossrefMedlineGoogle Scholar23 Luke RG. Chronic renal failure: a vasculopathic state. N Engl J Med. 1998; 339: 841–843.CrossrefMedlineGoogle Scholar24 Bhatt DL, Topol EJ. Need to test the arterial inflammation hypothesis. Circulation. 2002; 106: 136–140.LinkGoogle Scholar Previous Back to top Next FiguresReferencesRelatedDetailsCited By Kawamura Y, Yoshimachi F, Murotani N, Karasawa Y, Nagamatsu H, Kasai S and Ikari Y (2023) Comparison of Mortality Prediction by the GRACE Score, Multiple Biomarkers, and Their Combination in All-comer Patients with Acute Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention, Internal Medicine, 10.2169/internalmedicine.9486-22, 62:4, (503-510), Online publication date: 15-Feb-2023. Joury A, Razaghizad A and Sharma A (2022) Multi‐biomarker approach to predict survival and adverse cardiovascular events among patients with heart failure with preserved ejection fraction, European Journal of Heart Failure, 10.1002/ejhf.2689, 24:10, (1879-1882), Online publication date: 1-Oct-2022. Joury A, Ventura H and Krim S (2022) Biomarkers in heart failure: Relevance in the clinical practice, International Journal of Cardiology, 10.1016/j.ijcard.2022.06.039, 363, (196-201), Online publication date: 1-Sep-2022. McRae M, Rajsri K, Alcorn T and McDevitt J (2022) Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics, Sensors, 10.3390/s22176355, 22:17, (6355) Senekovič Kojc T and Marčun Varda N (2022) Novel Biomarkers of Heart Failure in Pediatrics, Children, 10.3390/children9050740, 9:5, (740) Leonardi A, Lo Faro M, Fazio B, Spinella C, Conoci S, Livreri P and Irrera A (2021) Fluorescent Biosensors Based on Silicon Nanowires, Nanomaterials, 10.3390/nano11112970, 11:11, (2970) Tan Y, Zhou J, Yang S, Li J, Zhao H, Song L and Yan H (2021) Addition of Plasma Myeloperoxidase and Trimethylamine N-Oxide to the GRACE Score Improves Prediction of Near-Term Major Adverse Cardiovascular Events in Patients With ST-Segment Elevation Myocardial Infarction, Frontiers in Pharmacology, 10.3389/fphar.2021.632075, 12 Leonardi A, Battaglia R, Morganti D, Lo Faro M, Fazio B, De Pascali C, Francioso L, Palazzo G, Mallardi A, Purrello M, Priolo F, Musumeci P, Di Pietro C and Irrera A (2021) A Novel Silicon Platform for Selective Isolation, Quantification, and Molecular Analysis of Small Extracellular Vesicles, International Journal of Nanomedicine, 10.2147/IJN.S310896, Volume 16, (5153-5165) Leonardi A, Lo Faro M and Irrera A (2021) Biosensing platforms based on silicon nanostructures: A critical review, Analytica Chimica Acta, 10.1016/j.aca.2021.338393, 1160, (338393), Online publication date: 1-May-2021. Kim H, Park S, Jeong I, Song S, Jeong Y, Kim C and Lee K (2020) Noninvasive Precision Screening of Prostate Cancer by Urinary Multimarker Sensor and Artificial Intelligence Analysis, ACS Nano, 10.1021/acsnano.0c06946, 15:3, (4054-4065), Online publication date: 23-Mar-2021. Falcão F, Oliveira F, Cantarelli F, Cantarelli R, Brito Júnior P, Lemos H, Silva P, Camboim I, Freire M, Carvalho O and Sobral Filho D (2020) Carbohydrate antigen 125 for mortality risk prediction following acute myocardial infarction, Scientific Reports, 10.1038/s41598-020-67548-8, 10:1 Metelskaya V, Zhatkina M, Gavrilova N, Yarovaya E, Bogdanova N, Litinskaya O, Pokrovskaya M and Drapkina O (2020) Validation of combined markers of the presence and severity of coronary atherosclerosis, Profilakticheskaya meditsina, 10.17116/profmed20202306265, 23:6, (65), . Metelskaya V, Zhatkina M, Gavrilova N, Yarovaya E, Bogdanova N, Litinskaya O, Pokrovskaya M and Drapkina O (2020) Validation of combined markers of the presence and severity of coronary atherosclerosis, Profilakticheskaya meditsina, 10.17116/profmed20202306194, 23:6, (94), . Leonardi A, Lo Faro M, Di Franco C, Palazzo G, D'Andrea C, Morganti D, Manoli K, Musumeci P, Fazio B, Lanza M, Torsi L, Priolo F and Irrera A (2018) Silicon nanowire luminescent sensor for cardiovascular risk in saliva, Journal of Materials Science: Materials in Electronics, 10.1007/s10854-018-0417-y, 31:1, (10-17), Online publication date: 1-Jan-2020. Falcão F, Oliveira F, Cantarelli F, Cantarelli R, Brito-Júnior P, Lemos H, Silva P, Camboim I, Freire M, Carvalho O and Sobral-Filho D (2019) Carbohydrate antigen 125 predicts pulmonary congestion in patients with ST-segment elevation myocardial infarction, Brazilian Journal of Medical and Biological Research, 10.1590/1414-431x20199124, 52:12 Israr M, Heaney L, Ng L and Suzuki T (2018) B-type natriuretic peptide molecular forms for risk stratification and prediction of outcome after acute myocardial infarction, American Heart Journal, 10.1016/j.ahj.2018.02.016, 200, (37-43), Online publication date: 1-Jun-2018. Xia M, Zhang C, Gu J, Chen J, Wang L, Lu Y, Huang C, He Y and Yang X (2018) Impact of C-reactive protein on long-term mortality in acute myocardial infarction patients with diabetes and those without, Clinica Chimica Acta, 10.1016/j.cca.2018.02.025, 480, (220-224), Online publication date: 1-May-2018. Falcão F, de Oliveira F, da Silva M and Sobral Filho D (2018) Carbohydrate antigen 125: a promising tool for risk stratification in heart diseases, Biomarkers in Medicine, 10.2217/bmm-2017-0452, 12:4, (367-381), Online publication date: 1-Apr-2018. Ratjen I, Vasan R and Lieb W (2018) Biomarkers: Population Screening and Risk-Stratification Encyclopedia of Cardiovascular Research and Medicine, 10.1016/B978-0-12-809657-4.64154-6, (323-333), . Lieb W (2018) OBSOLETE: Biomarkers: Population Screening and Risk-Stratification Reference Module in Biomedical Sciences, 10.1016/B978-0-12-801238-3.64154-5, . Mohan G, Kaur R and Singh T (2017) Cardiac Biomarkers in Acute Coronary Syndrome, AMEI's Current Trends in Diagnosis & Treatment, 10.5005/jp-journals-10055-0019, 1:2, (80-88), Online publication date: 1-Dec-2017. Savic-Radojevic A, Pljesa-Ercegovac M, Matic M, Simic D, Radovanovic S and Simic T (2017) Novel Biomarkers of Heart Failure , 10.1016/bs.acc.2016.09.002, (93-152), . Kim K, Chini N, Fairchild D, Engle S, Reagan W, Summers S and Mirsalis J (2016) Evaluation of Cardiac Toxicity Biomarkers in Rats from Different Laboratories, Toxicologic Pathology, 10.1177/0192623316668276, 44:8, (1072-1083), Online publication date: 1-Dec-2016. Waters D and Arsenault B (2016) Predicting Prognosis in Acute Coronary Syndromes: Makeover Time for TIMI and GRACE?, Canadian Journal of Cardiology, 10.1016/j.cjca.2016.02.053, 32:11, (1290-1293), Online publication date: 1-Nov-2016. McRae M, Simmons G, Wong J and McDevitt J (2016) Programmable Bio-nanochip Platform: A Point-of-Care Biosensor System with the Capacity To Learn, Accounts of Chemical Research, 10.1021/acs.accounts.6b00112, 49:7, (1359-1368), Online publication date: 19-Jul-2016. Gupta R, Pandya R, Sieffert T, Meyyappan M and Koehne J (2016) Multiplexed electrochemical immunosensor for label-free detection of cardiac markers using a carbon nanofiber array chip, Journal of Electroanalytical Chemistry, 10.1016/j.jelechem.2016.04.034, 773, (53-62), Online publication date: 1-Jul-2016. McRae M, Bozkurt B, Ballantyne C, Sanchez X, Christodoulides N, Simmons G, Nambi V, Misra A, Miller C, Ebersole J, Campbell C and McDevitt J (2016) Cardiac ScoreCard: A diagnostic multivariate index assay system for predicting a spectrum of cardiovascular disease, Expert Systems with Applications, 10.1016/j.eswa.2016.01.029, 54, (136-147), Online publication date: 1-Jul-2016. Minamisawa M, Motoki H, Izawa A, Kashima Y, Hioki H, Abe N, Miura T, Ebisawa S, Miyashita Y, Koyama J and Ikeda U (2016) Comparison of Inflammatory Biomarkers in Outpatients With Prior Myocardial Infarction, International Heart Journal, 10.1536/ihj.15-197, 57:1, (11-17), . Poldervaart J, Röttger E, Dekker M, Zuithoff N, Verheggen P, de Vrey E, Wildbergh T, van 't Hof A, Mosterd A, Hoes A and Pizzi C (2015) No Added Value of Novel Biomarkers in the Diagnostic Assessment of Patients Suspected of Acute Coronary Syndrome, PLOS ONE, 10.1371/journal.pone.0132000, 10:7, (e0132000) Wang Z, Zheng H, Chen H, Lin X, Chen J, Wang L, Bao W, Lin X, Huang M and Luo Z (2015) Elevated Serum Angiopoietin-like Protein 2 in Patients with Acute Coronary Syndrome, Archives of Medical Research, 10.1016/j.arcmed.2015.05.003, 46:4, (257-264), Online publication date: 1-May-2015. Wu A (2015) Analytical validation of novel cardiac biomarkers used in clinical trials, American Heart Journal, 10.1016/j.ahj.2015.01.016, 169:5, (674-683), Online publication date: 1-May-2015. Lubrano V (2015) Consolidated and emerging inflammatory markers in coronary artery disease, World Journal of Experimental Medicine, 10.5493/wjem.v5.i1.21, 5:1, (21), . Erkens P, Lucassen W, Geersing G, van Weert H, Kuijs-Augustijn M, van Heugten M, Rietjens L, ten Cate H, Prins M, Buller H, Hoes A, Moons K, Oudega R and Stoffers H (2014) Alternative diagnoses in patients in whom the GP considered the diagnosis of pulmonary embolism, Family Practice, 10.1093/fampra/cmu055, 31:6, (670-677), Online publication date: 1-Dec-2014. Jain K, Hauptman P, Spertus J, Kennedy K, Bateman T, Jacobson A and Stolker J (2014) Incremental Utility of Iodine-123 Meta-Iodobenzylguanidine Imaging Beyo
Referência(s)