Temporal biomarker concentration patterns during the early course of acute coronary syndrome

OBJECTIVES

Biomarker concentrations and their changes during acute coronary syndrome (ACS) provide clinically useful information on pathophysiological processes, e.g. myocardial necrosis, hemodynamic stress and inflammation. However, current evidence on temporal biomarker patterns early during ACS is limited, and studies investigating multiple biomarkers are lacking.

METHODS

We measured concentrations of high-sensitivity cardiac troponin T (hs-cTnT) and I (hs-cTnI), NT-terminal pro-B-type natriuretic peptide, C-reactive protein, and growth-differentiation factor-15 (GDF-15) in plasma samples obtained at randomization in ACS patients from the PLATelet inhibition and patient Outcomes (PLATO) trial. Linear regressions with interaction analyses were used to investigate the associations of biomarker concentrations with the time from symptom onset and to model temporal biomarker concentration patterns.

RESULTS

The study population consisted of 16,944 patients (median age 62 years; 71.3 % males) with 6,853 (40.3 %) having ST-elevation myocardial infarction (STEMI) and 10,141 (59.7 %) having non-ST-elevation ACS (NSTE-ACS). Concentrations of all biomarkers were associated with time from symptom onset (pinteraction<0.001), apart for GDF-15 (pinteraction=0.092). Concentration increases were more pronounced in STEMI compared to NSTE-ACS. Temporal biomarker patterns for hs-cTnT and hs-cTnI were different depending on sex whereas biomarker patterns for the other biomarkers were similar in cohorts defined by age and sex.

CONCLUSIONS

Temporal concentration patterns differ for various biomarkers early during ACS, reflecting the variability in the activation and duration of different pathophysiological processes, and the amount of injured myocardium. Our data emphasize that the time elapsed from symptom onset should be considered for the interpretation of biomarker results in ACS.

Prognostic value of growth differentiation factor-15 3 months after an acute chest pain admission

OBJECTIVE

Growth differentiation factor-15 (GDF-15) is a predictor of death and cardiovascular events when measured during index hospitalisation in patients with acute chest pain. This study investigated the prognostic utility of measuring GDF-15 3 months after an admission with suspected non-ST-elevation acute coronary syndrome (NSTE-ACS).

METHODS

GDF-15 was measured at baseline and 3 months after admission in 758 patients admitted with suspected NSTE-ACS. Patients were followed for a median of 1540 (IQR: 1087-1776) days after the 3-month visit. The primary endpoint was all-cause mortality, while the secondary composite endpoint included all-cause mortality, incident myocardial infarction and heart failure hospitalisation during follow-up.

RESULTS

In patients with GDF-15 ≥1200 pg/mL (n=248), 18% died and 25% met the composite endpoint. In patients with GDF-15 <1200 pg/mL (n=510), 1.7% died and 4% met the composite endpoint. The GDF-15 concentration (log2 transformed) at 3 months was significantly associated with all-cause mortality (adjusted HR: 2.2, 95% CI: 1.4 to 3.3, p<0.001) and the composite endpoint (adjusted HR: 1.9, 95% CI: 1.4 to 2.7, p<0.001), independently of traditional risk factors and baseline troponin T. A 10% change in GDF-15 concentration from baseline to the 3-month visit was associated with increased risk of all-cause mortality (HR: 1.06, 95% CI: 1.01 to 1.13, p=0.031), adjusting for baseline GDF-15 concentrations.

CONCLUSIONS

High GDF-15 concentrations 3 months after admission for suspected NSTE-ACS are associated with long-term mortality and cardiovascular events, independent of traditional risk factors and troponin T. A change in GDF-15 concentration can provide prognostic information.

Prognostic significance of serial N-terminal pro-B-type natriuretic peptide levels in patients with acute myocardial infarction: A prospective study

OBJECTS

This study aimed to investigate the association between N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels at different sampling times and prognosis in patients with acute myocardial infarction (AMI) undergoing emergency percutaneous coronary intervention (PCI).

METHODS AND RESULTS

Between March 2017 and January 2020, 1,105 patients with AMI who underwent emergency PCI were included. NT-proBNP levels were measured on days 0, 1, 2, 3, and 7. A composite of all-cause death, MI recurrence (reMI), and rehospitalization due to heart failure, known as major adverse cardiovascular events (MACE), was recorded. During the 36.8-month follow-up, 175 patients (15.8%) experienced MACEs. When patients were grouped based on quartiles of NT-proBNP levels on days 0 and 7, the results demonstrated that patients in quartile 4 showed a substantially increased MACE risk compared to those in quartile 1 (hazard ratio [HR] 2.27, 95% confidence interval [CI]:1.27-4.08, P = .006; HR 2.20, 95%CI:1.23-3.94, P = .008). There were U-shaped relationships between the HR for MACE and NT-proBNP levels on days 2, 3, and 7, as well as peak NT-proBNP (P _{for nonlinearity} = .007, .006, .004, and .009, respectively). A similar relationship was observed in the HR for reMI and NT-proBNP levels on days 2 and 3. For MACE at 3 years, serial NT-proBNP levels improved the predictive accuracy of the Global Registry of Acute Coronary Events (GRACE) risk score (concordance index [C-index]: 0.711; continuous net reclassification improvement [NRI]: 0.192, 95% CI: 0.022-0.445; integrated discrimination improvement [IDI]: 0.034, 95% CI: 0.016-0.064). For all-cause death at 3 years, the combination of NT-proBNP and GRACE score showed excellent performance, with C-index, continuous NRI, and IDI values of 0.801, 0.373 (95%CI: 0.072-0.853), and 0.051 (95%CI: 0.025-0.091), respectively.

CONCLUSIONS

Early and sequential measurement of NT-proBNP levels could assist in predicting MACE risk. Moreover, the relationship between MACE risk and NT-proBNP levels was U-shaped.

CLINICAL TRIAL REGISTRATION

clinicaltrials.gov NCT: 03593928.

Risk Assessment after ST-Segment Elevation Myocardial Infarction: Can Biomarkers Improve the Performance of Clinical Variables?

Introduction: Myocardial infarction with ST-segment elevation (STEMI) is the coronary artery disease associated with the highest risk of morbimortality; however, this risk is heterogeneous, usually being evaluated by clinical scores. Risk assessment is a key factor in personalized clinical management of patients with this disease. Aim: The aim of this study was to assess whether some new cardiac biomarkers considered alone, combined in a multibiomarker model or in association with clinical variables, improve the short- and long-term risk stratification of STEMI patients. Materials and Methods: This was a retrospective observational study of 253 patients with STEMI. Blood samples were obtained before or during the angiography. The assessed biomarkers were C-terminal fragment of insulin-like growth factor binding protein-4 (CT-IGFBP4), high sensitive cardiac troponin T (hs-cTnT), N-terminal fragment of probrain natriuretic peptide (NT-proBNP), and growth differentiation factor 15 (GDF-15); they reflect different cardiovascular (CV) physiopathological pathways and underlying pathologies. We registered in-hospital and follow-up mortalities and their causes (cardiovascular and all-cause) and major adverse cardiac events (MACE) during a two year follow-up. Discrimination, survival analysis, model calibration, and reclassification of the biomarkers were comprehensively evaluated. Results and Discussion: In total, 55 patients (21.7%) died, 33 in-hospital and 22 during the follow-up, most of them (69.1%) from CV causes; 37 MACE occurred during follow-up. Biomarkers showed good prognostic ability to predict mortality, alone and combined with the multibiomarker model. A predictive clinical model based on age, Killip–Kimball class, estimated glomerular filtration rate (eGFR), and heart rate was derived by multivariate analysis. GDF-15 and NT-proBNP significantly improved risk assessment of the clinical model, as shown by discrimination, calibration, and reclassification of all the end-points except for all-cause mortality. The combination of NT-proBNP and hs-cTnT improved CV mortality prediction. Conclusions: GDF-15 and NT-proBNP added value to the usual risk assessment of STEMI patients.

Assessment of global longitudinal strain and plasma natriuretic peptide in patients with asymptomatic left ventricular dysfunction

Objective    The purpose of this study was to investigate the association between global longitudinal strain (GLS) and plasma NT-proBNP for predicting left ventricular (LV) performance in asymptomatic patients after acute myocardial infarction (AMI).Material and methods    We prospectively included patients with diagnosis of AMI without clinical signs and symptoms of heart failure (HF) and followed these patients for 6 mos. Baseline echocardiography was performed at admission, and follow-up echocardiography was performed after 6 mos. A normal GLS was defined as having an absolute value of ≥16 %. According to the baseline GLS, participants were divided into two groups and compared. In all participants, blood samples of plasma NT-proBNP were obtained at admission, before discharge, and 6 mo after discharge.Results    The study population was consisted of 98 participants, of which 80 (81.6 %) were males, and the mean age was 56.0±9.3 years. Baseline echocardiography showed that most of the participants (60, 61.2 %) had abnormal GLS&lt;16 %, whereas 38 (38.8 %) participants had normal or borderline GLS ≥16 %. Compared with the normal GLS group, participants with abnormal GLS had higher GRACE score, higher troponin I concentration, lower systolic blood pressure, lower mean LV ejection fraction, and decreased LV diastolic function. At 6‑mo follow-up, only LV systolic function remained significantly different between the two groups. Compared to baseline, there was a significant improvement of GLS in the abnormal GLS group at 6‑mo follow-up (p=0.04). Prevalence of complications after AMI was significantly higher in this group. There were significant differences between baseline and discharge NT-proBNP concentrations between the two groups (p&lt;0.05). In the abnormal GLS group, there were significant correlations between baseline and discharge NT-proBNP concentrations with baseline LV systolic function. Discharge NT-proBNP concentration also correlated significantly with 6‑mo follow-up GLS. For determining the effect of baseline GLS abnormality, the areas under the ROC curve for baseline and discharge NT-proBNP concentrations were 0.73 (95 % CI 0.60-0.85, p=0.001) and 0.77 (95 % CI 0.66-0.87, p&lt;0.001), respectively. Regarding early prediction of follow-up GLS abnormality, the area under the ROC curve for discharge NT-proBNP concentration was significantly higher 0.70 (95 % CI 0.55-0.84, p=0.016). The optimum cut-off value of discharge NT-pro-BNP was 688.5 pg / ml, with 72.4 % sensitivity and 65.4 % specificity to predict 6‑mon GLS abnormality following acute myocardial infarction.Conclusion    The main finding of this study is that impaired LV GLS is associated with elevated plasma concentrations of NT-proBNP in post-AMI patients. Pre-discharge NT-proBNP concentration combined with impaired initial GLS could predict worsening LV systolic function over time in asymptomatic post-AMI patients.

Cardiovascular Risk Assessment for Noncardiac Surgery: Are We Ready for Biomarkers?

Biomarkers aided perioperative cardiac assessment is a relatively new concept. Cardiac biomarkers with historical significance (aspartate transaminase, dehydrogenase, creatinine kinase and myoglobin) have paved the way for traditional biomarkers (cardiac troponin, C-reactive protein, lipoprotein). Contemporary biomarkers like natriuretic peptides (BNP and ProBNP) are validated risk markers in both acute and chronic cardiac diseases and are showing remarkable promise in predicting serious cardiovascular complications after non-cardiac surgery. This review is intended to provide a critical overview of traditional and contemporary biomarkers for perioperative cardiovascular assessment and management. This review also discusses the potential utility of newer biomarkers like galectin-3, sST-2, GDF-15, TNF-alpha, MiRNAs and many others that can predict inflammation, cardiac remodeling, injury and endogenous stress and need further investigations to establish their clinical utility. Though promising, biomarker led perioperative care is still in infancy and it has not been determined that it can improve clinical outcomes.

Biomarker for the Prediction of Major Adverse Cardiac Events in Patients with Non-ST-Segment Elevation Myocardial Infarction

N-terminal pro-brain natriuretic peptide (NT-proBNP) is a well-known biomarker for the diagnosis and prognosis of heart failure, and is directly associated with myocardial dysfunction. We evaluated the prognostic value of NT-proBNP for major adverse cardiac events (MACEs) among patients with non-ST-segment elevation myocardial infarction (NSTEMI) from the Korea Acute Myocardial Infarction Registry during their mid-term follow-up period. In this paper, we analyzed NT-proBNP according to various MACE and level of NT-proBNP. We used multivariate logistic regression to determine the risk factors according to MACE type and NT-proBNP levels, and to identify the cutoff value for each MACE by using the receiver operating characteristic (ROC) curve. NT-proBNP was a significant variable among cardiac deaths (p = 0.016), myocardial infarction (p = 0.000), and coronary artery bypass grafting (CABG) (p = 0.000) in patients with MACE compared with those without MACE. Two-vessel coronary artery disease (CAD) (p = 0.037) and the maximum creatinine kinase (max-CK) (p = 0.031) produced significant results in repeat percutaneous coronary intervention. The area under the ROC curve was found to be statistically significant for cardiac death and CABG. NT-proBNP is a useful predictor for 12-month MACEs among patients with NSTEMI and in those with heart failure. We propose that a new index incorporating NT-proBNP, max-CK, and CAD vessel will be useful as a prognostic indicator of MACEs in the future.

NT-proBNP during and after primary PCI for improved scheduling of early hospital discharge

Background

The Zwolle Risk Score (ZRS) identifies primary percutaneous coronary intervention (PPCI) patients at low mortality risk, eligible for early discharge. Recently, this score was improved by adding baseline NT-proBNP. However, the optimal timepoint for NT-proBNP measurement is unknown.

Methods

PPCI patients in the On-Time 2 study were candidates. The ZRS and NT-proBNP levels on admission, at 18–24 h, at 72–96 h, and the change in NT-proBNP from baseline to 18–24 h (delta NT-proBNP) were determined. We investigated whether addition of the different NT-proBNP measurements to the ZRS improves the prediction of 30-day mortality. Based on cut-off values reflecting zero mortality at 30 d, patients who potentially could be discharged early were identified and occurrence of major adverse cardiac events (MACE) and major bleeding until 10 d was registered.

Results

845 patients were included. On multivariate analyses, NT-proBNP at baseline (HR 2.09, 95% CI 1.59–2.74, p < 0.001), at 18–24 h (HR 6.83, 95% CI 2.94–15.84), and at 72–96 h (HR 3.32, 95% CI 1.22–9.06) independently predicted death at 30 d. Addition of NT-proBNP to the ZRS improved prediction of mortality, particularly at 18–24 h (net reclassification index 29%, p < 0.0001, integrated discrimination improvement 17%, p < 0.0001). Based on ZRS (<2) or NT-proBNP at 18–24 h (<2500 pg/ml) 75% of patients could be targeted for early discharge at 48 h, with expected re-admission rates of 1.2% due to MACE and/or major bleeding.

Conclusions

NT-proBNP at different timepoints improves prognostication of the ZRS. Particularly at 18–24 h post PPCI, the largest group of patients that potentially could be discharged early was identified.

Electronic supplementary material

The online version of this article (doi: 10.1007/s12471-016-0935-2) contains supplementary material, which is available to authorized users.

Multi-marker network in ST-elevation myocardial infarction patients undergoing primary percutaneous coronary intervention: when and what to measure

BACKGROUND

Data on the correlations between biomarkers to suggest cost-effective multi-marker (MM) panels predictive for ST-elevation myocardial infarction (STEMI) patients are lacking. We sought to explore the relationship between cardiac troponin I (cTnI), C-reactive protein (CRP), B-type natriuretic peptide (BNP), and chromogranin A (CgA) accounting for biomarkers' profiles detected within 48h from successful primary percutaneous coronary intervention (PPCI).

METHODS

In 73 STEMI patients cTnI, CRP, BNP, and CgA were measured before PPCI and 6, 24, and 48h later. STATIS methods generalizing Principal Component Analysis on three-way data sets were employed to extract information about: 1) similarities between patients, 2) contribution of each time of sampling and 3) correlations between biomarkers' profiles.

RESULTS

STEMI patients who underwent successful PPCI emerged to have a homogeneous profile tailored on biomarkers' evaluation within 48h. Their measurements at 24h contributed the most variability and information both to patients' and to biomarkers' profiles. BNP and cTnI were highly correlated and explained the 40.1% of the total variance, whereas CgA resulted independent and explained the 26.3% of the total variance.

CONCLUSIONS

Markers' measurements at 24h after PPCI contributed most information to the definition of patients' profile. BNP and cTnI resulted interchangeable in a MM panel for reporting about the extent of necrosis.

Association of serum angiopoietin-1, angiopoietin-2 and angiopoietin-2 to angiopoietin-1 ratio with heart failure in patients with acute myocardial infarction

The aim of the present study was to investigate the association of the serum angiopoietin (Ang)-1 and Ang-2 levels and the Ang-2 to Ang-1 ratio (Ang-2/Ang-1) with heart failure (HF) in patients with acute myocardial infarction (AMI) during hospitalization. The serum Ang-1 and Ang-2 levels of the AMI patients were measured at admission to hospital. The correlations between serum Ang-1, Ang-2 and Ang-2/Ang-1 with HF were examined. Among 103 patients, 20 developed HF during hospitalization. The serum Ang-2 level and Ang-2/Ang-1 were found to be significantly higher in the patients with HF than in the patients without HF (2,203.1±122.0 vs. 2,102.3±114.4 pg/ml, P=0.001 and 11.4±1.6×10⁻² vs. 10.6±1.1×10⁻², P=0.007, respectively). Serum Ang-2 level and Ang-2/Ang-1 were negatively correlated with left ventricular ejection fraction (LVEF; r=−0.352, P<0.001 and r=−0.365, P<0.001, respectively) and positively correlated with the natural logarithm of the level of N-terminal pro-B-type natriuretic peptide (LnNT-proBNP, r=0.367, P<0.001 and r=0.304, P=0.003, respectively) and peak cardiac troponin T (cTnT, r=0.421, P<0.001 and r=0.278, P=0.009, respectively). However, the serum Ang-1 level was not found to correlate significantly with LVEF (r= 0.194, P= 0.05), LnNT-proBNP (r=−0.116, P=0.266) or peak cTnT (r=−0.056, P=0.607). In multivariable logistic regression analysis, Ang-2 (P=0.031), Ang-2/Ang-1 (P=0.018) and NT-proBNP (P=0.001) were revealed to be independently associated with HF. The present study reveals that Ang-2 levels and Ang-2/Ang-1 are independent predictors of HF in AMI patients during hospitalization.

Established and novel biomarkers in ST-elevation myocardial infarction

Cardiac biomarkers assist in the diagnosis of and risk stratification in acute coronary syndromes. In ST-elevation myocardial infarction (STEMI), rapid diagnosis and initiation of reperfusion via primary percutaneous coronary intervention or fibrinolysis is often based on the clinical history and presenting ECG, but measurement of biomarkers in the early and/or late phases of STEMI may allow the selection of patients who are at increased or decreased risk of subsequent complications. Although the measurement of only three biomarkers (troponin, natriuretic peptides and C-reactive protein) are currently included in practice guidelines, more than 20 other novel cardiac biomarkers have been proposed to provide improved risk stratification after a STEMI.

Biochemical markers in acute coronary syndrome

Owing to their higher risk for cardiac death or ischemic complications, patients with acute coronary syndrome (ACS) must be identified from other causes of chest pain. Patients with acute coronary syndrome are divided into categories based on their electrocardiogram; those with new ST-segment elevation and those who present with ST-segment depression. The subgroups of patients with ST-segment elevation are candidates for immediate reperfusion, while fibrinolysis appears harmful for those with non-ST elevation myocardial infarction. There is increasing evidence to encourage appropriate risk stratification before deciding on a management strategy (invasive or conservative) for each patient. The TIMI, GRACE or PURSUIT risk models are recommended as useful for decisions regarding therapeutic options. Cardiac biomarkers are useful additions to these clinical tools to correctly risk stratify ACS patients. Cardiac troponin is the biomarker of choice to detect myocardial necrosis and is central to the universal definition of myocardial infarction. The introduction of troponin assays with a lower limit of detection will allow for earlier diagnosis of patients who present with chest pain. Analytical and clinical validations of these new assays are currently in progress. The question is whether the lower detection limit of the troponin assays will be able to indicate myocardial ischemia in the absence of myocardial necrosis. Previous to the development of ultrasensitive cardiac troponin assays free fatty acids unbound to albumin and ischemia modified albumin were proposed as biochemical markers of ischemia. Advances in our knowledge of the pathogenesis of acute coronary thrombosis have stimulated the development of new biomarkers. Markers of left ventricular performance (N-terminal pro-brain natriuretic peptide) and inflammation (e.g. C-reactive protein) are generally recognized as risk indicators. Studies suggest that using a number of biomarkers clinicians can risk stratify patients over a broad range of short and long term cardiac events. Nevertheless, it is still under debate as to which biomarker combination is best preferred for risk prediction. This review will focus on recent practice guidelines for the management of patients with ACS as well as current advances in cardiac biomarkers, their integration into clinical care and their diagnostic, prognostic and therapeutic utility.