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Galectin-3 as a Prognostic Biomarker in Patients with First Acute Myocardial Infarction Without Heart Failure
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Abstract
Background: Galectin-3 (Gal-3) is a biomarker involved in a wide range of diseases including cardiac remodeling following acute myocardial infarction (AMI). Identification of prognostic markers in patients with AMI can guide strategies towards improved survival and the quality of life. Methods: Our study included 59 patients with AMI and preserved ejection fraction. We determined the Gal-3 plasma concentration within 24 hours of chest pain onset from aortic root, femoral/radial artery, coronary sinus and cubital vein. Major adverse cardiovascular events (MACE) were evaluated at six months follow-up. Results: MACE at six months post-AMI was recorded in 20 patients (34%). The Gal-3 plasma concentration from aortic root and the femoral/radial artery were independent predictors of MACE at six months follow-up after the first AMI (OR 1.228; 95%CI: 1.011-1.491; p=0.038; OR 3.438; 95%CI: 1.275-9.265; p=0.015). ROC analysis identifies the Gal-3 plasma concentration from aortic root as a better predictor of MACE or death (cut-off >10.86 ng/ml; AUC 0.858; 95%CI: 0.744-0.973; p<0.001) than Gal-3 plasma concentration from femoral/radial artery (cut-off >10.18 ng/ml; AUC 0.742; 95%CI: 0.596-0.888; p=0.006). Conclusion: The Gal-3 plasma concentration in patients with AMI determined during coronary angiography, especially from the aortic root, within 24 hours after chest pain onset is a valuable biomarker of prognosis at six months follow-up.
Keywords:
Subject: Medicine and Pharmacology - Cardiac and Cardiovascular Systems
1. Introduction
Galectin-3 (Gal-3) is member of lectin family and is involved in a wide range of inflammatory, autoimmune diseases, acute cardiovascular events , atrial fibrillation (AF) and myocardial fibrosis [1,2]. Its important role in tissue repair following AMI has been demonstrated in animal models and in small number of human samples [3]. Thus, Gal-3 is directly involved in adverse myocardial remodeling [4,5] and associated with major adverse cardiovascular events (MACE) [6,7]. Crucial role of Gal-3 in myocardial fibrosis is linked to activated macrophages and damaged cardiomyocytes, which are the primary sources of Gal-3 [8]. Increased expression of Gal-3 is closely associated with the development and progression of cardiovascular diseases [9]. Conversely, in a study conducted in Poland that enrolled 107 clinically stable patients with dilated cardiomyopathy who were followed for approximately 4.8 years, prognostic value of Gal-3 was not of significance [10]. However, this study excluded patients with coronary artery disease, valvular heart disease, connective tissue disease, significant renal insufficiency, inflammatory or infectious disorders. It is found that higher concentrations of Gal-3 are related to higher mortality in the general population and HF patients [11,12,13].
In our previously published study, we have shown that Gal-3 plasma concentration 24 hours post-AMI was increased in those individuals who develop adverse myocardial remodeling six months post-AMI [13]. Adverse myocardial remodeling is followed by a heart failure with reduced left ventricle ejection fraction (HFrEF), as part of MACE due to worsening systolic myocardial function. Therefore, the aim of this study was to examine prognostic value of Gal-3 from arterial and venous, central and peripheral blood in patients with AMI, at six months follow-up.
2. Materials and Methods
2.1. Study Participants
This prospective study included 59 AMI patients (41 males (69.5%), mean age 65+9 years, range: 45–81 years) scheduled for urgent coronary angiography. Patients were hospitalized in the University Clinical Centre of Nis and the University Clinical Centre of Kragujevac from December 2016 to November 2018 as a result of the first AMI with preserved left ventricle ejection fraction (LVEF >50%). Patients were admitted within the first 24 hours of chest pain onset. Diagnostic procedures (coronary angiography, electrocardiography, echocardiography) and myocardial revascularization by percutaneous coronary intervention (PCI), were performed in accordance with the institution guidelines and International Cardiology Associations recommendations [14]. We excluded patients with any previous AMI; any previous PCI; previous aorto-coronary by-pass grafting surgery (CABG); congenital and acquired valvular heart disease; left ventricular ejection fraction (LVEF) <50%; left ventricular hypertrophy; cardiomyopathies (dilated, hypertrophic, restrictive); autoimmune diseases; impaired renal function (GFR<30 ml/min); systemic inflammatory diseases; cancer; or if a participant refused to take part in the study. The written informed consent was obtained from all participants prior to their inclusion in the study. The research was performed in accordance with the Helsinki Declaration and approved by the institutional ethics committees (Clinical Centre of Kragujevac and Clinical Centre of Nis).
2.2. Study Design
Blood sampling was carried out within 24 hours of chest pain onset during coronary angiography and PCI in patients with or without ST-elevation myocardial infarction (STEMI and NSTEMI). Gal-3 plasma concentration was measured in the aortic root, femoral/radial artery, the right atrium near the coronary sinus and cubital vein, on day one. Plasma was separated from the whole blood by centrifugation at 3,000g for 10 minutes at 25 °C, aliquoted and frozen at -80 °C. Commercially available ELISA kit (BGM, Inc., Waltham, MA, USA) was used to determine Gal-3 plasma concentration according to the manufacturer’s instruction.
The following parameters were evaluated using echocardiography (biplane area-length echocardiography method - Simpson’s formula) on day one: left ventricle end diastolic volume (LVEDV), left ventricle end systolic volume (LVESV), LVEF, ratio of mitral flow velocity in early and late diastole (E/A), the ratio of mitral flow velocity and mitral annulus velocity in early diastole (E/E’), and left atrium (LA) diameter. Physicians who performed echocardiographic assessments were unaware of the biomarker results. Routine blood tests, hs-CRP and pro-BNP were performed within 24 hours of chest pain onset. Biomarkers of myocardial necrosis, troponin and creatine kinase isoenzyme MB (CK-MB), were quantified only to confirm the diagnosis of AMI, without serial testing over the time. Major adverse cardiovascular events (MACE) is defined as a composite of death, re-AMI, cerebrovascular insult and re-hospitalization due to heart failure or malignant arrhythmias (ventricular tachycardia, ventricular fibrillation, atrio-ventricular block, asystole).
2.3. Statistical Analysis
The data were processed using the Statistical Package for Social Sciences (SPSS, v. 21.0; Chicago, IL, USA). Continuous variables were presented as the mean value ± standard deviation or median ± interquartile range, and categorical variables as count with percentages. Continuous variables were compared with unpaired Student’s t test and or Mann-Whitney U-test, depending on the normality of continuous data distribution. Normal distribution of continuous variables was evaluated by both Kolmogorov–Smirnov and Levene tests. Categorical variables were compared with Chi-squared or Fischer`s exact test, depending on group sizes. The correlation between two continuous variables was assessed using Pearson’s correlation coefficient. The influence of putative risk factors on dichotomous outcomes was examined by stepwise multivariate logistic regression analysis with backward elimination of each insignificant variable (p<0.1), and the results were expressed as adjusted odds ratios with respective 95% confidence intervals. Receiver operating characteristic (ROC) curves with the 95% confidence intervals (CI) were used to estimate diagnostic accuracy, while the highest Youden`s index (sensitivity+specificity-1) was used to assess the best cut-off value of Gal-3 concentrations for discrimination of patients with and without MACE at six months follow-up. The statistical significance was determined as two-sided value of p<0.05.
3. Results
3.1. Baseline Characteristics of the Study Patients and Major Adverse Cardiovascular Events (MACE)
Baseline characteristics of the study patients were presented in the Table 1. Thirty-eight 38 patients (64%) had STEMI, whereas 21 patients (36%) had NSTEMI. The events of MACE including death were associated with a higher Gal-3 concentrations in all four locations: aortic root (13.9 [10.8-16.2] vs. 8.2 [5.9-9.9] ng/ml, p<0.001), femoral/radial artery (11.55±3.15 vs. 8.53±3.46 ng/ml, p=0.005), coronary sinus (12.56±4.40 vs. 8.43±2.57 ng/ml, p=0.001), and cubital vein (12.06±3.80 vs. 8.05±2.21 ng/ml, p<0.001).
Patients experiencing MACE appeared to be older (69±10 vs. 63±8 years, p=0.013) with higher frequency of pre-existing AV block (17 vs. 0%, p=0.025). On admission, they had a lower both systolic and diastolic blood pressure (115±26 vs. 137±27 mmHg, p=0.005; 68±15 vs. 79±17 mmHg, p=0.023, respectively), creatinine clearance (64.32±29.95 vs. 91.79±21.29 ml/min, p<0.001), LDL (3.19±1.33 vs. 3.86±1.02 mmol/l, p=0.042), red blood cell count (4.30±0.58 vs. 4.73±0.51 x1012/l, p=0.007) and haemoglobin (120.53 ± 17.91 vs. 144.44 ± 14.62 g/l. p<0.001). They also had an increased level of urea (9.6 [7.4-13.3] vs. 5.8 [4.6-6.9] mmol/l, p=0.003), creatinine (115.5 [79.8-167.8] vs. 86.0 [77.0-93.8] μmol/l, p=044), NT-proBNP (2250.0 [275.2-6492.8] vs. 372.5 [180.2-1979.5] pg/ml, p<0.01) and glycaemia (8.2 [5.0-12.6] vs. 6.0 [5.3-7.0], p=0.040). In addition, patients who suffered MACE were more frequently on furosemide therapy (53 vs. 22%, p=0.030) (Table 1).
The presence of MACE at six months post-AMI was recorded in 20 patients (34%) (Table 2).
Major adverse cardiovascular events (MACE) is defined as a composite of death, re-AMI, cerebrovascular insult and re-hospitalization due to heart failure or malignant arrhythmias. Malignant arrhythmias are defined as ventricular tachycardia, ventricular fibrillation, atrio-ventricular block or asystole.
3.2. Prognostic Value of Galectin-3 Plasma Concentration Measured at Four Different Sites in AMI Patients
Multivariate logistic regression analyses (backward method) was performed for all significant univariate predictors and galectin-3 level measured in the aortic root, the femoral/radial artery, the right atrium near the coronary sinus and the cubital vein (Table 3). In this manner, the Gal-3 plasma concentration measured in the aortic root and the femoral/radial artery were identified as independent predictors of MACE or death at six months follow-up after the first AMI (OR 1.228; 95%CI: 1.011-1.491; p=0.038; OR 3.438; 95%CI: 1.275-9.265; p=0.015). The Gal-3 plasma concentrations at all four sites were not considered in the same multivariate analysis due to high correlation and multi-collinearity (aortic root vs. coronary sinus: r=0.685, p<0.001; aortic root vs. cubital vein: r=0.877, p<0.001; coronary sinus vs. cubital vein: r=0.883, p<0.001, respectively).
Based on ROC analyses (Figure 1), the Gal-3 plasma concentration measured in the aortic root was identified as a better predictor of MACE including death at six months post-AMI (AUC 0.858; 95%CI: 0.744-0.973; p<0.001) than the Gal-3 plasma concentration measured in the femoral/radial artery (AUC 0.742; 95%CI: 0.596-0.888; p=0.006).
The optimal cut-off value for the Gal-3 plasma concentration measured in the aortic root for detection of AMI-patients with an increased risk of MACE or death at six months post-AMI was >10.86 ng/ml, with a sensitivity, specificity, positive and negative predictive value of 80%, 87%, 76% and 89%, respectively (Table 4). The overall accuracy of this test was 85%. Similar results were obtained for the optimal cut-off value of Gal-3 plasma concentration measured in the femoral/radial artery >10.18 ng/ml, but with a lower sensitivity, specificity, positive and negative predictive value, and overall accuracy of 70%, 77%, 61%, 83% and 75%, respectively (Table 4).
4. Discussion
Our study compared the prognostic value of Gal-3 plasma concentrations in arterial and venous, central and peripheral blood, in patients with first AMI and preserved LVEF, in the first 24 hours after chest pain onset. The main finding of this study is that the Gal-3 plasma concentrations measured at aortic root within 24 hours of chest pain onset in AMI-patients is a valuable biomarker of prognosis at six months follow-up. The optimal cut-off value of >10.86 ng/ml for Gal-3 plasma concentration measured at this site has the best sensitivity and specificity for stratifying AMI-patients with the increased risk of MACE or death at six months post-AMI. This implicates if the Gal-3 plasma concentration from aortic root is quantified during coronary angiography on the first day following AMI, we can stratify patients with increased Gal-3 plasma concentration (≥10.86 ng/ml) who are very likely to develop MACE or die, within the first six months following AMI.
Prognostic value of Gal-3 in peripheral blood for mortality and other adverse outcomes in patients with AMI was reported in other trials [15,16,17,18,19,20,21,22,23]. Gagno G, and colleagues included 469 patients with AMI (STEMI and NSTEMI) and collected venous blood samples within 8 hours from admission. The primary outcomes were recurrent angina, re-MI and all-cause mortality within a one-year after the PCI. The Gal-3 was an independent predictor of one-year mortality in patients who were alive 30 days after the AMI (OR: 4.25; 95%CI: 2.12-8.5; p<0.01). Multivariate model including age, LVEF, Gal-3 and renal function at discharge, was comparable to the GRACE score for predicting one-year mortality and demonstrated a slight improvement with AUC 0.84 (95%CI: 0.78–0.90) over the GRACE score with AUC 0.82 (95%CI: 0.75–0.88) [15]. Furthermore, Asleh R, and colleagues reported high prognostic value of Gal-3 during a mean follow-up of 5.4 years following AMI. Gal-3 wass an independent predictor of mortality and HF post MI. Elevated Gal-3 was associated with increased mortality with 5-year estimates of 10.2%, 24.4%, and 51.9%, depending of Gal-3 concentration cut-off (p <0.001). The association followed a dose-response pattern with a 30% increased risk of death for each 10-unit increase in Gal-3 (HR 1.30, 95%CI: 1.24–1.36) [16].
Other studies similar to ours showed aligned results for Gal-3 with the cut-off value of 7.67 ng/ml and sensitivity and specificity of 74.5% and 72.4% (AUC 0.78), respectively, for predicting 30-day MACE after AMI [18]. Idzikowska K, and colleagues followed-up 96 AMI patients for one-year and reported nine MACE (cardiac death, re-MI and need for unscheduled PCI). No significant differences in the concentration of Gal-3 on day one of hospitalization were found between patients who experienced late MACE and uneventful survivors (p=0.56). However, the ROC curve analysis found that the Gal-3 concentration assessed on admission with the cut-off value of 23.183 ng/mL (95%CI: 2.664–54.059) was a strong predictor of MACE (AUC 0.75, p=0.0061) and death (AUC 0.854, p<0.001) within a one-year after discharge. ROC curve analysis revealed also that Gal-3 concentration collected on admission may be also used as a strong predictor of death (AUC = 0.854, p<0.001) [21]. Tyminska A, and colleagues included 117 patients with the first-time STEMI treated with pPCI. Gal-3 and sST2 was sampled 72 to 96 hours after admission due to STEMI. The patients were followed for the primary endpoint (cardiovascular death or heart failure hospitalization at 1 year). Both, Gal-3 and sST2 were predictors of the primary endpoint, and of both CV death and HF hospitalizations alone [22].
In our study, a lower hemoglobin level and reduced creatinine clearance were found to be independent predictors of MACE or death at six months follow-up after the first AMI. Kang et al. found that anemia was an independent predictor of MACE in patients with acute coronary syndrome (ACS) [23]. Higher creatinine serum concentration or reduced creatinine clearance are associated with increased risk of both short- and long-term MACE or death [24]. According to the study from the Canberra Hospital registry 2016, the mortality rate following AMI during the first year was 7.1%, whereas during the second year it was lower, 2.05% , but only 25% patients with fatal events had LVEF ≤35% [25]. In our study, no difference in LVEF was observed between the groups with and without MACE including death. Therefore, only some of our results are aligned with previously reported trials about predictive value of LVEF [26,27], which could be due to different types of participants included. A clinical trial conducted in Israel with 9,000 AMI participants, reported the highest one-year mortality rate in the group with severe LVEF <30%. In this group of patients underlying cardiac clinical features are the main risk factors for mortality, whereas in patients with preserved LVEF ≥50%, comorbidities are often related to one-year poor prognosis [28]. Another trial reported higher frequency of MACE in patients with moderately reduced ejection fraction (HFmEF) (LVEF 40-49%) compared to those with HFrEF (LVEF <40%) [29]. In fact, patients without LVEF improvement after myocardial revascularization are at the higher risk of MACE including death [30].
Another study comparing patients with and without coronary artery disease (stable and unstable) reported higher MACE (re-MI, worsening heart failure, recurrent angina) in patients with ACS and Gal-3 levels above the median level. The Gal-3 was an independent predictor for cumulative MACE (increase in Gal-3 by 1ng/ml led to 6% higher rate of MACE incidence) [17].
All of the above-mentioned studies corroborating our findings, however the vast majority of these measured the Gal-3 plasma concentration in peripheral vein, followed up patients for one year, and included varied adverse outcomes as part of MACE. Our previously reported study showed that the Gal-3 determined on the 30th day of AMI in the cubital vein has the highest prognostic value for adverse myocardial remodeling, six months later [13]. Grandin EW, et colleagues have shown that patients with elevated Gal-3 and BNP levels were at the highest odds of developing HF, suggesting a potential incremental value of Gal-3 for assessment of HF risk after ACS (pilot experience from PROVE IT-TIMI 22) [31]. Association between elevated Gal-3 and adverse post myocardial infarction remodeling at six months was also found by Perea RJ, and colleagues [32]. In a study with 217 patients with AMI peripheral venous blood samples for plasma Gal-3 concentrations were obtained within 24 h after admission. Plasma Gal-3 concentration was independent predictor of post-MI new onset atrial fibrillation [33]. Erdogan O, and colleagues found Gal-3 as a new biomarker that predicts ventricular arrhythmia in patients with ischemic dilated cardiomyopathy. In this study nineteen healthy controls and 32 patients who had previously undergone VVI-ICD implantation due to ischemic dilated cardiomyopathy were enrolled. Gal-3 levels of patients with arrhythmias requiring ICD therapies were significantly higher than in patients with ICD not requiring therapies (p=0.02). They were also higher in patients with a history of arrhythmia storm than in patients without shocks (p=0.05). ROC curve analysis showed with 84% sensitivity and 75% specificity that Gal-3 levels over 7 ng/ml indicated ventricular arrhythmia that required therapies [34]. Different pathophysiological processes cause increase in the Gal-3 concentrations at different times and in different locations.
The novelty brought by this study is reflected in the determination of the Gal-3 plasma concentration from central or peripheral, arterial or venous blood, which, in fact, showed that aortic root might have the best prognostic value. The sensitivity and specificity based on the Gal-3 plasma concentration from aortic root in predicting the likelihood of MACE is higher than in other locations, and in other studies. A single Gal-3 value from aortic root during coronary angiography provides strong prognostic value for both MACE and death at six months follow-up. This result also indicates trans-myocardial gradient and possible therapeutic use of Gal-3 inhibitors in high risk AMI patients with high Gal-3 concentrations in the first 24 hours of chest pain. This could be aim for future investigations.
The main limitation of our study is a small number of participants. The uniqueness of this study is that we measured the Gal-3 plasma concentration in four different blood locations, across trans-myocardial gradient, during coronary angiography or PCI. We showed that cubital vein is not the most promising sample type for determining Gal-3’s prognostic value of MACE or death, particularly in a multivariate model. Aortic root Gal-3 appears to show the best compromise between the sensitivity and specificity for the prognosis of MACE or death.
5. Conclusions
The Gal-3 plasma concentration in arterial and venous, central and peripheral blood on day one AMI are increased in patients who develop MACE at six months follow-up. However, the most valuable prognostic biomarker is the Gal-3 plasma concentration collected from the aortic root on day one, which is independently associated with the increased risk of MACE or death at six months post-AMI.
Author Contributions
Rada M. Vucic - investigation, writing, Olivera M. Andrejic - data curation, investigation, Dragana Stokanovic - formal analysis, review, Tatjana Jevtovic Stoimenov - investigation, Lana McClements – writing, supervision, Valentina N. Nikolic - writing—original draft preparation, methodology, Miodrag Sreckovic - investigation, Mirjana Veselinovic - supervision, Srdjan Aleksandric - formal analysis, writing- review and editing, Viseslav Popadic - visualization, Marija Zdravkovic - writing and editing, Milan Pavlovic – conceptualization, investigation and methodology, supervision. All authors have read and agreed to the published version of the manuscript.
Funding
This study funded by Faculty of Medicine, University of Nis, (Grant No INT-MF19), Serbian Ministry of Education, Science and Techno-logical Development (Grant No 451-03-68/2022-14/200113). L.M is funded by the Future Leader Fellowship Level 1 from the National Heart Foundation of Australia (106628). The funders had no role in the study design, data collection and analysis, preparation of the manuscript or decision about its publication.
Institutional Review Board Statement
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Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Acknowledgments
We thank all nurses who contributed to the research.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
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- Margolis, G.; Khoury, S.; Ben-Shoshan, J.; Letourneau-Shesaf, S.; Flint, N.; Keren, G.; Shacham Y. Prognostic Implications of Mid-Range Left Ventricular Ejection Fraction on Patients Presenting With ST-Segment Elevation Myocardial Infarction. Am J Cardiol. 2017, 120, 186-190. [CrossRef]
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- Grandin EW, Jarolim P, Murphy SA, Ritterova, L.; Cannon, C.P.; Braunwald, E.; Morrow, D.A. Galectin-3 and the development of heart failure after acute coronary syndrome: pilot experience from PROVE IT-TIMI 22. Clin Chem. 2012, 58, 267–73. [CrossRef]
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Figure 1.
The ROC curve analysis of Gal-3 plasma concentrations measured in the aortic root (A) and the femoral/radial artery (B) in the identification of AMI-patients with likelihood of 6-month occurrence of MACE or death. ROC - receiver-operating characteristics curve; AUC – area under curve; CI – confidence interval; SE - standard error; Sn – sensitivity; Sp – specificity; AMI – acute myocardial infarction; Gal-3 – Galectin 3.
Figure 1.
The ROC curve analysis of Gal-3 plasma concentrations measured in the aortic root (A) and the femoral/radial artery (B) in the identification of AMI-patients with likelihood of 6-month occurrence of MACE or death. ROC - receiver-operating characteristics curve; AUC – area under curve; CI – confidence interval; SE - standard error; Sn – sensitivity; Sp – specificity; AMI – acute myocardial infarction; Gal-3 – Galectin 3.
Table 1.
Galectin-3 (Gal-3) concentrations and baseline characteristics of the study patients stratified by major adverse cardiovascular events (MACE) including death.
Table 1.
Galectin-3 (Gal-3) concentrations and baseline characteristics of the study patients stratified by major adverse cardiovascular events (MACE) including death.
| All patientsN = 59 | No MACE or deathN = 39 | MACE or deathN = 20 | p-value | |
|---|---|---|---|---|
| Galectin-3 at site: | ||||
| Aortic root (Q1, Q3), ng/ml | 9.2 (6.8-12.1) | 8.2 (5.9-9.9) | 13.9 (10.8-16.2) | <0.001 |
| Femoral/radial artery + SD, ng/ml | 9.72 ± 3.62 | 8.53 ± 3.46 | 11.55 ± 3.15 | 0.005 |
| Coronary sinus + SD, ng/ml | 9.74 ± 3.76 | 8.43 ± 2.57 | 12.56 ± 4.40 | 0.001 |
| Cubital vein + SD, ng/ml | 9.31 ± 3.35 | 8.05 ± 2.21 | 12.06 ± 3.80 | <0.001 |
| Age + SD, years | 65 ± 9 | 63 ± 8 | 69 ± 10 | 0.013 |
| Gender (male), n (%) | 42 (71) | 32 (78.0%) | 9 (50.0%) | 0.063 |
| BMI + SD, kg/m2 | 27.8 + 3.52 | 27.8 ± 3.4 | 27.8 ± 3.9 | 0.960 |
| Smoking, n (%) | 18 (31) | 14 (34) | 4 (22) | 0.540 |
| Diabetes mellitus, n (%) | 20 (34) | 14 (70) | 6 (30) | 0.999 |
| CVI, n (%) | 3 (5) | 2 (5) | 1 (6) | 0.999 |
| Hypertension, n (%) | 38 (64) | 24 (58) | 14 (78) | 0.238 |
| Hyperlipoproteinemia, n (%) | 17 (29) | 11 (27) | 6 (33) | 0.756 |
| STEMI, n (%) | 38 (64) | 23 (56) | 15 (83) | 0.044 |
| Anterior MI, n (%) | 26 (44) | 16 (41) | 10 (50) | 0.239 |
| Inferior MI, n (%) | 33 (56) | 23 (59) | 10 (50) | 0.969 |
| NSTEMI, n (%) | 21 (36) | 16 (41) | 5 (25) | 0.044 |
| Time from pain onset (Q1, Q3), hours | 10.0 (4.0-18.0) | 9.5 (4.0-20.0) | 8.5 (3.5-15.5) | 0.882 |
| AV block, n (%) | 3 (5) | 0 (0) | 3 (17) | 0.025 |
| VT/VF, n (%) | 7 (12) | 5 (12) | 2 (11) | 0.999 |
| AF, n (%) | 5 (8) | 2 (5) | 3 (17) | 0.160 |
| Systolic BP + SD, mmHg | 130 ± 28 | 137 ± 27 | 115 ± 26 | 0.005 |
| Diastolic BP + SD, mmHg | 75 ± 17 | 79 ± 17 | 68 ± 15 | 0.023 |
| HR + SD, bpm | 74 ± 14 | 76 ± 11 | 70 ± 21 | 0.272 |
| Urea (Q1, Q3), mmol/l | 6.3 (4.9-8.5) | 5.8 (4.6-6.9) | 9.6 (7.4-13.3) | 0.003 |
| Creatinine (Q1, Q3), μmol/l | 87.0 (78.0-100.0) | 86.0 (77.0-93.8) | 115.5 (79.8-167.8) | 0.044 |
| Creatinine clearance + SD, ml/min | 83.41 ± 27.17 | 91.79 ± 21.29 | 64.32 ± 29.95 | <0.001 |
| Cholesterol + SD, mmol/l | 5.68 ± 1.32 | 5.88 ± 1.19 | 5.22 ± 1.51 | 0.081 |
| HDL + SD, mmol/l | 1.13 ± 0.26 | 1.12 ± 0.21 | 1.15 ± 0.35 | 0.742 |
| LDL + SD, mmol/l | 3.66 ± 1.15 | 3.86 ± 1.02 | 3.19 ± 1.33 | 0.042 |
| Triglycerides (Q1, Q3), mmol/l | 1.7 (1.1-2.3)) | 1.7 (1.2-2.5) | 1.3 (1.0-2.0) | 0.303 |
| CK-MB (Q1, Q3), U/l | 24.0 (15.0-52.0) | 24.0 (16.2-54.0) | 25.0 (12.2-35.8) | 0.987 |
| CRP (Q1, Q3), mg/l | 5.0 (1.5-10.6) | 4.2 (1.2-10.1) | 5.2 (2.7-33.0) | 0.278 |
| Troponin T (Q1, Q3), ng/ml | 1.2 (0.2-7.3) | 1.1 (0.3-5.8) | 2.6 (0.1-5.2) | 0.593 |
| Pro-BNP (Q1, Q3), pg/ml | 459.5 (239.7-2182.7) | 372.5 (180.2-1979.5) | 2250.0 (275.2-6492.8) | 0.004 |
| Glycaemia (Q1, Q3), mmol/l | 6.2 (5.3-8.4) | 6.0 (5.3-7.0) | 8.2 (5.0-12.6) | 0.040 |
| Potassium (Q1, Q3), mmol/l | 4.3 (4.0-4.6) | 4.2 (3.9-4.7) | 4.5 (4.1-4.7) | 0.281 |
| Sodium (Q1, Q3), mmol/l | 139.0 (137.0-141.0) | 139.0 (137.2-141.0) | 139.5 (136.0-141.2) | 0.680 |
| RBC + SD, x1012/l | 4.61 ± 0.56 | 4.73 ± 0.51 | 4.30 ± 0.58 | 0.007 |
| Haemoglobin + SD, g/l | 137.43 ± 18.99 | 144.44 ± 14.62 | 120.53 ± 17.91 | <0.001 |
| Leukocyte count (Q1, Q3), x109/l | 9.6 (8.6-12.0) | 9.4 (8.4-11.6) | 10.1 (7.4-12.9) | 0.657 |
| Platelet count + SD, x109/l | 238.03 ± 65.60 | 232.73 ± 55.37 | 250.822 ± 80.62 | 0.406 |
| LVEF + SD, % | 52 ± 5 | 53 ± 5 | 50 ± 6 | 0.157 |
| EDV + SD, mm | 77.62 ± 22.65 | 76.82 ± 21.73 | 79.53 ± 25.33 | 0.683 |
| ESV + SD, mm | 38.25 ± 13.38 | 38.8 (10.2-45.8) | 38.0 (31.5-45.8) | 0.392 |
| E/A ratio (Q1, Q3) | 0.7 (0.6-0.8) | 0.7 (0.6-0.8) | 0.7 (0.6-1.0) | 0.925 |
| E/E` ratio (Q1, Q3) | 7.9 (6.6-10.0) | 7.8 (6.5-9.7) | 8.0 (6.6-12.2) | 0.263 |
| LA + SD, mm | 37.72 ± 4.93 | 38.20 ± 4.95 | 36.59 ± 4.84 | 0.262 |
| Number of coronary lesions + SD | 1.67 + 0.87 | 1.68 ± 0.82 | 1.65 ± 1.00 | 0.887 |
| 1-vessel CAD, n (%) | 11 (19) | 8 (21) | 3 (15) | 0.869 |
| 2-vessel CAD, n (%) | 20 (34) | 15 (38) | 5 (25) | 0.601 |
| 3-vessel CAD, n (%) | 28 (47) | 16 (41) | 12 (60) | 0.029 |
| Furosemide, n (%) | 18 (31) | 9 (22) | 9 (53) | 0.030 |
| Spironolactone, n (%) | 10 (17) | 5 (12) | 5 (29) | 0.139 |
| ACE inhibitors, n (%) | 42 (71) | 32 (78) | 10 (59) | 0.197 |
| Beta-blockers, n (%) | 43 (73) | 33 (80) | 10 (59) | 0.107 |
| Calcium channel antagonists, n (%) | 7 (12) | 3 (7) | 4 (23) | 0.178 |
| Amiodarone, n (%) | 13 (22) | 8 (19) | 5 (29) | 0.494 |
| DAPT, n (%) | 53 (90) | 39 (95) | 14 (82) | 0.144 |
| Ticagrelor, n (%) | 33 (56) | 26 (63) | 7 (41) | 0.151 |
| Trimetazidine, n (%) | 25 (42) | 18 (44) | 7 (41) | 0.999 |
| Statins, n (%) | 54 (92) | 39 (95) | 15 (88) | 0.573 |
| UFH/LMWH, n (%) | 55 (93) | 40 (98) | 15 (94) | 0.999 |
Data are presented as mean ± SD or median with interquartile range (IQR) or numbers (%). BMI - body mass index, CVI - cerebrovascular insult, STEMI - ST elevation myocardial infarction, NSTEMI - Non ST elevation myocardial infarction, AV - atrioventricular, VT/VF - ventricular tachycardia/ventricular fibrillation, AF - atrial fibrillation, BP - blood pressure, HR - heart rate, CRP - C reactive protein, proBNP - pro brain natriuretic peptide, RBC – red blood cell, ACE inhibitor - angiotensin converting enzyme inhibitor, DAPT - dual antiplatelet therapy, UFH/LMWH - unfractionated heparin/ low molecule weight heparin.
Table 2.
Major adverse cardiovascular events (MACE) at 6 months after acute myocardial infarction (AMI).
Table 2.
Major adverse cardiovascular events (MACE) at 6 months after acute myocardial infarction (AMI).
| Event | n (%) |
|---|---|
| MACE, n (%) | 20 (100) |
| Death, n (%) | 5 (25) |
| Re-AMI, n (%) | 1 (5) |
| Cerebrovascular insult, n (%) | 4 (20) |
| Re-hospitalization due to heart failure, n (%) | 5 (25) |
| Re-hospitalization due to malignant arrhythmias, n (%) | 5 (25) |
Table 3.
Multivariate logistic regression for all significant univariate variables (p<0.1) predicting major adverse cardiovascular events (MACE) or death at six months follow-up.
Table 3.
Multivariate logistic regression for all significant univariate variables (p<0.1) predicting major adverse cardiovascular events (MACE) or death at six months follow-up.
| Univariate analysis | OR (95%CI) | p-value | R2 | HL test p-value |
|---|---|---|---|---|
| Galectin-3 at site: | ||||
| Aortic root | 1.277 (1.076-1.517) | 0.005 | 0.255 | 0.581 |
| Femoral/radial artery | 1.309 (1.068-1.604) | 0.009 | 0.224 | 0.556 |
| Coronary sinus | 1.422 (1.155-1.750) | 0.001 | 0.342 | 0.48695 |
| Cubital vein | 1.566 (1.225-2.000) | <0.001 | 0.405 | 0.454 |
| Age (years) | 1.089 (1.014-1.169) | 0.018 | 0.145 | 0.289 |
| Gender (male) | 0.281 (0.086-0.918) | 0.036 | 0.103 | 0.301 |
| STEMI | 3.913 (0.980-15.625) | 0.053 | 0.101 | 0.300 |
| NSTEMI | 0.256 (0.064-1.020) | 0.053 | 0.101 | 0.300 |
| 3-vessel CAD, n (%) | 3.375 (1.110-12.669) | 0.033 | 0.115 | 0.256 |
| Systolic BP (mmHg) | 0.968 (0.945-0.992) | 0.009 | 0.186 | 0.081 |
| Diastolic BP (mmHg) | 0.958 (0.922-0.996) | 0.030 | 0.126 | 0.553 |
| Urea (mmol/l) | 1.546 (1.167-2.048) | 0.002 | 0.296 | 0.616 |
| Creatinine (μmol/l) | 1.034 (1.008-1.061) | 0.010 | 0.264 | 0.004 |
| Creatinine clearance (ml/min) | 0.954 (0.927-0.982) | 0.001 | 0.305 | 0.220 |
| Cholesterol (mmol/l) | 0.677 (0.432-1.062) | 0.090 | 0.074 | 0.464 |
| LDL (mmol/l) | 0.591 (0.349-1.000) | 0.050 | 0.100 | 0.672 |
| Pro-BNP (pg/ml) | 1.000 (1.000-1.001) | 0.022 | 0.176 | 0.549 |
| Glycaemia (mmol/l) | 1.270 (1.043-1.547) | 0.017 | 0.172 | 0.109 |
| RBC count (x1012/l) | 0.227 (0.070-0.739) | 0.014 | 0.167 | 0.913 |
| Haemoglobin (g/l) | 0.914 (0.869-0.961) | <0.001 | 0.439 | 0.382 |
| Furosemide | 4.000 (1.198-13.357) | 0.024 | 0.122 | 0.516 |
| Multivariateanalysis | OR (95%CI) | p-value | R2 | HL test p-value |
| Gal-3 level at aortic roota | 1.228 (1.011-1.491) | 0.038 | 0.621 | 0.440 |
| Haemoglobin (g/l) | 0.821 (0.699-0.965) | 0.017 | 0.621 | 0.440 |
| Gal-3 level Femoral/radial arterya | 3.438 (1.275-9.265) | 0.015 | 0.846 | 0.943 |
| Haemoglobin (g/l) | 0.860 (0.765-0.966) | 0.011 | 0.846 | 0.943 |
| Creatinine clearance (ml/min) | 0.908 (0.829-0.994) | 0.036 | 0.846 | 0.943 |
| Gal-3 level coronary sinusa | 1.044 (0.663-1.644) | 0.851 | 0.519 | 0.858 |
| Haemoglobin (g/l) | 0.927 (0.874-0.984) | 0.012 | 0.519 | 0.858 |
| Gal-3 level cubital veina | 1.163 (0.694-1.948) | 0.566 | 0.519 | 0.860 |
| Haemoglobin (g/l) | 0.927 (0.874-0.984) | 0.012 | 0.519 | 0.860 |
| Urea (mmol/l) | 1.521 (1.039-2.226) | 0.031 | 0.519 | 0.860 |
Dependent variable: major adverse cardiovascular events (MACE) or death at six months follow-up. Multivariate logistic regression analyses were adjusted for all variables with p≤0.1 in univariate analysis. aonly variable in the model; CI - confidence interval; OR – odd ratio; R2 - Nagelkerke R square; HL - Hosmer and Lemeshow test; BP – blood pressure, Gal-3 – galectin-3, LDL - low-density lipoprotein, proBNP - pro brain natriuretic peptide, RBC – red blood cells, STEMI – ST-elevation myocardial infarction, NSTEMI – non-ST-elevation myocardial infarction.
Table 4.
The ability of Galectin-3 (Gal-3) on day 1 to discriminate patients likely to experience major adverse cardiovascular events (MACE) or death within 6 months after acute myocardial infarction (AMI).
Table 4.
The ability of Galectin-3 (Gal-3) on day 1 to discriminate patients likely to experience major adverse cardiovascular events (MACE) or death within 6 months after acute myocardial infarction (AMI).
| Gal-3 at site | AUC (95% CI) | SE | p-value | Cut-off (ng/ml) | Sn (%) | Sp (%) | PPV (%) | NPV (%) |
|---|---|---|---|---|---|---|---|---|
| Aortic root | 0.858 (0.744-0.973) | 0.058 | <0.001 | 10.86 | 80% | 87% | 76% | 89% |
| Femoral artery | 0.742 (0.596-0.888) | 0.074 | 0.006 | 10.18 | 70% | 77% | 61% | 83% |
ROC - receiver-operating characteristics curve; AUC - area under curve; SE - standard error;.CI - confidence interval; Sn - sensitivity; Sp - specificity; PPV - positive predictive value; NPV -negative predictive value.
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Abstract
Background: Galectin-3 (Gal-3) is a biomarker involved in a wide range of diseases including cardiac remodeling following acute myocardial infarction (AMI). Identification of prognostic markers in patients with AMI can guide strategies towards improved survival and the quality of life. Methods: Our study included 59 patients with AMI and preserved ejection fraction. We determined the Gal-3 plasma concentration within 24 hours of chest pain onset from aortic root, femoral/radial artery, coronary sinus and cubital vein. Major adverse cardiovascular events (MACE) were evaluated at six months follow-up. Results: MACE at six months post-AMI was recorded in 20 patients (34%). The Gal-3 plasma concentration from aortic root and the femoral/radial artery were independent predictors of MACE at six months follow-up after the first AMI (OR 1.228; 95%CI: 1.011-1.491; p=0.038; OR 3.438; 95%CI: 1.275-9.265; p=0.015). ROC analysis identifies the Gal-3 plasma concentration from aortic root as a better predictor of MACE or death (cut-off >10.86 ng/ml; AUC 0.858; 95%CI: 0.744-0.973; p<0.001) than Gal-3 plasma concentration from femoral/radial artery (cut-off >10.18 ng/ml; AUC 0.742; 95%CI: 0.596-0.888; p=0.006). Conclusion: The Gal-3 plasma concentration in patients with AMI determined during coronary angiography, especially from the aortic root, within 24 hours after chest pain onset is a valuable biomarker of prognosis at six months follow-up.
Keywords:
Subject: Medicine and Pharmacology - Cardiac and Cardiovascular Systems
1. Introduction
Galectin-3 (Gal-3) is member of lectin family and is involved in a wide range of inflammatory, autoimmune diseases, acute cardiovascular events , atrial fibrillation (AF) and myocardial fibrosis [1,2]. Its important role in tissue repair following AMI has been demonstrated in animal models and in small number of human samples [3]. Thus, Gal-3 is directly involved in adverse myocardial remodeling [4,5] and associated with major adverse cardiovascular events (MACE) [6,7]. Crucial role of Gal-3 in myocardial fibrosis is linked to activated macrophages and damaged cardiomyocytes, which are the primary sources of Gal-3 [8]. Increased expression of Gal-3 is closely associated with the development and progression of cardiovascular diseases [9]. Conversely, in a study conducted in Poland that enrolled 107 clinically stable patients with dilated cardiomyopathy who were followed for approximately 4.8 years, prognostic value of Gal-3 was not of significance [10]. However, this study excluded patients with coronary artery disease, valvular heart disease, connective tissue disease, significant renal insufficiency, inflammatory or infectious disorders. It is found that higher concentrations of Gal-3 are related to higher mortality in the general population and HF patients [11,12,13].
In our previously published study, we have shown that Gal-3 plasma concentration 24 hours post-AMI was increased in those individuals who develop adverse myocardial remodeling six months post-AMI [13]. Adverse myocardial remodeling is followed by a heart failure with reduced left ventricle ejection fraction (HFrEF), as part of MACE due to worsening systolic myocardial function. Therefore, the aim of this study was to examine prognostic value of Gal-3 from arterial and venous, central and peripheral blood in patients with AMI, at six months follow-up.
2. Materials and Methods
2.1. Study Participants
This prospective study included 59 AMI patients (41 males (69.5%), mean age 65+9 years, range: 45–81 years) scheduled for urgent coronary angiography. Patients were hospitalized in the University Clinical Centre of Nis and the University Clinical Centre of Kragujevac from December 2016 to November 2018 as a result of the first AMI with preserved left ventricle ejection fraction (LVEF >50%). Patients were admitted within the first 24 hours of chest pain onset. Diagnostic procedures (coronary angiography, electrocardiography, echocardiography) and myocardial revascularization by percutaneous coronary intervention (PCI), were performed in accordance with the institution guidelines and International Cardiology Associations recommendations [14]. We excluded patients with any previous AMI; any previous PCI; previous aorto-coronary by-pass grafting surgery (CABG); congenital and acquired valvular heart disease; left ventricular ejection fraction (LVEF) <50%; left ventricular hypertrophy; cardiomyopathies (dilated, hypertrophic, restrictive); autoimmune diseases; impaired renal function (GFR<30 ml/min); systemic inflammatory diseases; cancer; or if a participant refused to take part in the study. The written informed consent was obtained from all participants prior to their inclusion in the study. The research was performed in accordance with the Helsinki Declaration and approved by the institutional ethics committees (Clinical Centre of Kragujevac and Clinical Centre of Nis).
2.2. Study Design
Blood sampling was carried out within 24 hours of chest pain onset during coronary angiography and PCI in patients with or without ST-elevation myocardial infarction (STEMI and NSTEMI). Gal-3 plasma concentration was measured in the aortic root, femoral/radial artery, the right atrium near the coronary sinus and cubital vein, on day one. Plasma was separated from the whole blood by centrifugation at 3,000g for 10 minutes at 25 °C, aliquoted and frozen at -80 °C. Commercially available ELISA kit (BGM, Inc., Waltham, MA, USA) was used to determine Gal-3 plasma concentration according to the manufacturer’s instruction.
The following parameters were evaluated using echocardiography (biplane area-length echocardiography method - Simpson’s formula) on day one: left ventricle end diastolic volume (LVEDV), left ventricle end systolic volume (LVESV), LVEF, ratio of mitral flow velocity in early and late diastole (E/A), the ratio of mitral flow velocity and mitral annulus velocity in early diastole (E/E’), and left atrium (LA) diameter. Physicians who performed echocardiographic assessments were unaware of the biomarker results. Routine blood tests, hs-CRP and pro-BNP were performed within 24 hours of chest pain onset. Biomarkers of myocardial necrosis, troponin and creatine kinase isoenzyme MB (CK-MB), were quantified only to confirm the diagnosis of AMI, without serial testing over the time. Major adverse cardiovascular events (MACE) is defined as a composite of death, re-AMI, cerebrovascular insult and re-hospitalization due to heart failure or malignant arrhythmias (ventricular tachycardia, ventricular fibrillation, atrio-ventricular block, asystole).
2.3. Statistical Analysis
The data were processed using the Statistical Package for Social Sciences (SPSS, v. 21.0; Chicago, IL, USA). Continuous variables were presented as the mean value ± standard deviation or median ± interquartile range, and categorical variables as count with percentages. Continuous variables were compared with unpaired Student’s t test and or Mann-Whitney U-test, depending on the normality of continuous data distribution. Normal distribution of continuous variables was evaluated by both Kolmogorov–Smirnov and Levene tests. Categorical variables were compared with Chi-squared or Fischer`s exact test, depending on group sizes. The correlation between two continuous variables was assessed using Pearson’s correlation coefficient. The influence of putative risk factors on dichotomous outcomes was examined by stepwise multivariate logistic regression analysis with backward elimination of each insignificant variable (p<0.1), and the results were expressed as adjusted odds ratios with respective 95% confidence intervals. Receiver operating characteristic (ROC) curves with the 95% confidence intervals (CI) were used to estimate diagnostic accuracy, while the highest Youden`s index (sensitivity+specificity-1) was used to assess the best cut-off value of Gal-3 concentrations for discrimination of patients with and without MACE at six months follow-up. The statistical significance was determined as two-sided value of p<0.05.
3. Results
3.1. Baseline Characteristics of the Study Patients and Major Adverse Cardiovascular Events (MACE)
Baseline characteristics of the study patients were presented in the Table 1. Thirty-eight 38 patients (64%) had STEMI, whereas 21 patients (36%) had NSTEMI. The events of MACE including death were associated with a higher Gal-3 concentrations in all four locations: aortic root (13.9 [10.8-16.2] vs. 8.2 [5.9-9.9] ng/ml, p<0.001), femoral/radial artery (11.55±3.15 vs. 8.53±3.46 ng/ml, p=0.005), coronary sinus (12.56±4.40 vs. 8.43±2.57 ng/ml, p=0.001), and cubital vein (12.06±3.80 vs. 8.05±2.21 ng/ml, p<0.001).
Patients experiencing MACE appeared to be older (69±10 vs. 63±8 years, p=0.013) with higher frequency of pre-existing AV block (17 vs. 0%, p=0.025). On admission, they had a lower both systolic and diastolic blood pressure (115±26 vs. 137±27 mmHg, p=0.005; 68±15 vs. 79±17 mmHg, p=0.023, respectively), creatinine clearance (64.32±29.95 vs. 91.79±21.29 ml/min, p<0.001), LDL (3.19±1.33 vs. 3.86±1.02 mmol/l, p=0.042), red blood cell count (4.30±0.58 vs. 4.73±0.51 x1012/l, p=0.007) and haemoglobin (120.53 ± 17.91 vs. 144.44 ± 14.62 g/l. p<0.001). They also had an increased level of urea (9.6 [7.4-13.3] vs. 5.8 [4.6-6.9] mmol/l, p=0.003), creatinine (115.5 [79.8-167.8] vs. 86.0 [77.0-93.8] μmol/l, p=044), NT-proBNP (2250.0 [275.2-6492.8] vs. 372.5 [180.2-1979.5] pg/ml, p<0.01) and glycaemia (8.2 [5.0-12.6] vs. 6.0 [5.3-7.0], p=0.040). In addition, patients who suffered MACE were more frequently on furosemide therapy (53 vs. 22%, p=0.030) (Table 1).
The presence of MACE at six months post-AMI was recorded in 20 patients (34%) (Table 2).
Major adverse cardiovascular events (MACE) is defined as a composite of death, re-AMI, cerebrovascular insult and re-hospitalization due to heart failure or malignant arrhythmias. Malignant arrhythmias are defined as ventricular tachycardia, ventricular fibrillation, atrio-ventricular block or asystole.
3.2. Prognostic Value of Galectin-3 Plasma Concentration Measured at Four Different Sites in AMI Patients
Multivariate logistic regression analyses (backward method) was performed for all significant univariate predictors and galectin-3 level measured in the aortic root, the femoral/radial artery, the right atrium near the coronary sinus and the cubital vein (Table 3). In this manner, the Gal-3 plasma concentration measured in the aortic root and the femoral/radial artery were identified as independent predictors of MACE or death at six months follow-up after the first AMI (OR 1.228; 95%CI: 1.011-1.491; p=0.038; OR 3.438; 95%CI: 1.275-9.265; p=0.015). The Gal-3 plasma concentrations at all four sites were not considered in the same multivariate analysis due to high correlation and multi-collinearity (aortic root vs. coronary sinus: r=0.685, p<0.001; aortic root vs. cubital vein: r=0.877, p<0.001; coronary sinus vs. cubital vein: r=0.883, p<0.001, respectively).
Based on ROC analyses (Figure 1), the Gal-3 plasma concentration measured in the aortic root was identified as a better predictor of MACE including death at six months post-AMI (AUC 0.858; 95%CI: 0.744-0.973; p<0.001) than the Gal-3 plasma concentration measured in the femoral/radial artery (AUC 0.742; 95%CI: 0.596-0.888; p=0.006).
The optimal cut-off value for the Gal-3 plasma concentration measured in the aortic root for detection of AMI-patients with an increased risk of MACE or death at six months post-AMI was >10.86 ng/ml, with a sensitivity, specificity, positive and negative predictive value of 80%, 87%, 76% and 89%, respectively (Table 4). The overall accuracy of this test was 85%. Similar results were obtained for the optimal cut-off value of Gal-3 plasma concentration measured in the femoral/radial artery >10.18 ng/ml, but with a lower sensitivity, specificity, positive and negative predictive value, and overall accuracy of 70%, 77%, 61%, 83% and 75%, respectively (Table 4).
4. Discussion
Our study compared the prognostic value of Gal-3 plasma concentrations in arterial and venous, central and peripheral blood, in patients with first AMI and preserved LVEF, in the first 24 hours after chest pain onset. The main finding of this study is that the Gal-3 plasma concentrations measured at aortic root within 24 hours of chest pain onset in AMI-patients is a valuable biomarker of prognosis at six months follow-up. The optimal cut-off value of >10.86 ng/ml for Gal-3 plasma concentration measured at this site has the best sensitivity and specificity for stratifying AMI-patients with the increased risk of MACE or death at six months post-AMI. This implicates if the Gal-3 plasma concentration from aortic root is quantified during coronary angiography on the first day following AMI, we can stratify patients with increased Gal-3 plasma concentration (≥10.86 ng/ml) who are very likely to develop MACE or die, within the first six months following AMI.
Prognostic value of Gal-3 in peripheral blood for mortality and other adverse outcomes in patients with AMI was reported in other trials [15,16,17,18,19,20,21,22,23]. Gagno G, and colleagues included 469 patients with AMI (STEMI and NSTEMI) and collected venous blood samples within 8 hours from admission. The primary outcomes were recurrent angina, re-MI and all-cause mortality within a one-year after the PCI. The Gal-3 was an independent predictor of one-year mortality in patients who were alive 30 days after the AMI (OR: 4.25; 95%CI: 2.12-8.5; p<0.01). Multivariate model including age, LVEF, Gal-3 and renal function at discharge, was comparable to the GRACE score for predicting one-year mortality and demonstrated a slight improvement with AUC 0.84 (95%CI: 0.78–0.90) over the GRACE score with AUC 0.82 (95%CI: 0.75–0.88) [15]. Furthermore, Asleh R, and colleagues reported high prognostic value of Gal-3 during a mean follow-up of 5.4 years following AMI. Gal-3 wass an independent predictor of mortality and HF post MI. Elevated Gal-3 was associated with increased mortality with 5-year estimates of 10.2%, 24.4%, and 51.9%, depending of Gal-3 concentration cut-off (p <0.001). The association followed a dose-response pattern with a 30% increased risk of death for each 10-unit increase in Gal-3 (HR 1.30, 95%CI: 1.24–1.36) [16].
Other studies similar to ours showed aligned results for Gal-3 with the cut-off value of 7.67 ng/ml and sensitivity and specificity of 74.5% and 72.4% (AUC 0.78), respectively, for predicting 30-day MACE after AMI [18]. Idzikowska K, and colleagues followed-up 96 AMI patients for one-year and reported nine MACE (cardiac death, re-MI and need for unscheduled PCI). No significant differences in the concentration of Gal-3 on day one of hospitalization were found between patients who experienced late MACE and uneventful survivors (p=0.56). However, the ROC curve analysis found that the Gal-3 concentration assessed on admission with the cut-off value of 23.183 ng/mL (95%CI: 2.664–54.059) was a strong predictor of MACE (AUC 0.75, p=0.0061) and death (AUC 0.854, p<0.001) within a one-year after discharge. ROC curve analysis revealed also that Gal-3 concentration collected on admission may be also used as a strong predictor of death (AUC = 0.854, p<0.001) [21]. Tyminska A, and colleagues included 117 patients with the first-time STEMI treated with pPCI. Gal-3 and sST2 was sampled 72 to 96 hours after admission due to STEMI. The patients were followed for the primary endpoint (cardiovascular death or heart failure hospitalization at 1 year). Both, Gal-3 and sST2 were predictors of the primary endpoint, and of both CV death and HF hospitalizations alone [22].
In our study, a lower hemoglobin level and reduced creatinine clearance were found to be independent predictors of MACE or death at six months follow-up after the first AMI. Kang et al. found that anemia was an independent predictor of MACE in patients with acute coronary syndrome (ACS) [23]. Higher creatinine serum concentration or reduced creatinine clearance are associated with increased risk of both short- and long-term MACE or death [24]. According to the study from the Canberra Hospital registry 2016, the mortality rate following AMI during the first year was 7.1%, whereas during the second year it was lower, 2.05% , but only 25% patients with fatal events had LVEF ≤35% [25]. In our study, no difference in LVEF was observed between the groups with and without MACE including death. Therefore, only some of our results are aligned with previously reported trials about predictive value of LVEF [26,27], which could be due to different types of participants included. A clinical trial conducted in Israel with 9,000 AMI participants, reported the highest one-year mortality rate in the group with severe LVEF <30%. In this group of patients underlying cardiac clinical features are the main risk factors for mortality, whereas in patients with preserved LVEF ≥50%, comorbidities are often related to one-year poor prognosis [28]. Another trial reported higher frequency of MACE in patients with moderately reduced ejection fraction (HFmEF) (LVEF 40-49%) compared to those with HFrEF (LVEF <40%) [29]. In fact, patients without LVEF improvement after myocardial revascularization are at the higher risk of MACE including death [30].
Another study comparing patients with and without coronary artery disease (stable and unstable) reported higher MACE (re-MI, worsening heart failure, recurrent angina) in patients with ACS and Gal-3 levels above the median level. The Gal-3 was an independent predictor for cumulative MACE (increase in Gal-3 by 1ng/ml led to 6% higher rate of MACE incidence) [17].
All of the above-mentioned studies corroborating our findings, however the vast majority of these measured the Gal-3 plasma concentration in peripheral vein, followed up patients for one year, and included varied adverse outcomes as part of MACE. Our previously reported study showed that the Gal-3 determined on the 30th day of AMI in the cubital vein has the highest prognostic value for adverse myocardial remodeling, six months later [13]. Grandin EW, et colleagues have shown that patients with elevated Gal-3 and BNP levels were at the highest odds of developing HF, suggesting a potential incremental value of Gal-3 for assessment of HF risk after ACS (pilot experience from PROVE IT-TIMI 22) [31]. Association between elevated Gal-3 and adverse post myocardial infarction remodeling at six months was also found by Perea RJ, and colleagues [32]. In a study with 217 patients with AMI peripheral venous blood samples for plasma Gal-3 concentrations were obtained within 24 h after admission. Plasma Gal-3 concentration was independent predictor of post-MI new onset atrial fibrillation [33]. Erdogan O, and colleagues found Gal-3 as a new biomarker that predicts ventricular arrhythmia in patients with ischemic dilated cardiomyopathy. In this study nineteen healthy controls and 32 patients who had previously undergone VVI-ICD implantation due to ischemic dilated cardiomyopathy were enrolled. Gal-3 levels of patients with arrhythmias requiring ICD therapies were significantly higher than in patients with ICD not requiring therapies (p=0.02). They were also higher in patients with a history of arrhythmia storm than in patients without shocks (p=0.05). ROC curve analysis showed with 84% sensitivity and 75% specificity that Gal-3 levels over 7 ng/ml indicated ventricular arrhythmia that required therapies [34]. Different pathophysiological processes cause increase in the Gal-3 concentrations at different times and in different locations.
The novelty brought by this study is reflected in the determination of the Gal-3 plasma concentration from central or peripheral, arterial or venous blood, which, in fact, showed that aortic root might have the best prognostic value. The sensitivity and specificity based on the Gal-3 plasma concentration from aortic root in predicting the likelihood of MACE is higher than in other locations, and in other studies. A single Gal-3 value from aortic root during coronary angiography provides strong prognostic value for both MACE and death at six months follow-up. This result also indicates trans-myocardial gradient and possible therapeutic use of Gal-3 inhibitors in high risk AMI patients with high Gal-3 concentrations in the first 24 hours of chest pain. This could be aim for future investigations.
The main limitation of our study is a small number of participants. The uniqueness of this study is that we measured the Gal-3 plasma concentration in four different blood locations, across trans-myocardial gradient, during coronary angiography or PCI. We showed that cubital vein is not the most promising sample type for determining Gal-3’s prognostic value of MACE or death, particularly in a multivariate model. Aortic root Gal-3 appears to show the best compromise between the sensitivity and specificity for the prognosis of MACE or death.
5. Conclusions
The Gal-3 plasma concentration in arterial and venous, central and peripheral blood on day one AMI are increased in patients who develop MACE at six months follow-up. However, the most valuable prognostic biomarker is the Gal-3 plasma concentration collected from the aortic root on day one, which is independently associated with the increased risk of MACE or death at six months post-AMI.
Author Contributions
Rada M. Vucic - investigation, writing, Olivera M. Andrejic - data curation, investigation, Dragana Stokanovic - formal analysis, review, Tatjana Jevtovic Stoimenov - investigation, Lana McClements – writing, supervision, Valentina N. Nikolic - writing—original draft preparation, methodology, Miodrag Sreckovic - investigation, Mirjana Veselinovic - supervision, Srdjan Aleksandric - formal analysis, writing- review and editing, Viseslav Popadic - visualization, Marija Zdravkovic - writing and editing, Milan Pavlovic – conceptualization, investigation and methodology, supervision. All authors have read and agreed to the published version of the manuscript.
Funding
This study funded by Faculty of Medicine, University of Nis, (Grant No INT-MF19), Serbian Ministry of Education, Science and Techno-logical Development (Grant No 451-03-68/2022-14/200113). L.M is funded by the Future Leader Fellowship Level 1 from the National Heart Foundation of Australia (106628). The funders had no role in the study design, data collection and analysis, preparation of the manuscript or decision about its publication.
Institutional Review Board Statement
In this section, you should add the Institutional Review Board Statement and approval number, if relevant to your study. You might choose to exclude this statement if the study did not require ethical approval. Please note that the Editorial Office might ask you for further information. Please add “The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of NAME OF INSTITUTE (protocol code XXX and date of approval).” for studies involving humans. OR “The animal study protocol was approved by the Institutional Review Board (or Ethics Committee) of NAME OF INSTITUTE (protocol code XXX and date of approval).” for studies involving animals. OR “Ethical review and approval were waived for this study due to REASON (please provide a detailed justification).” OR “Not applicable” for studies not involving humans or animals.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Acknowledgments
We thank all nurses who contributed to the research.
Conflicts of Interest
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
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Figure 1.
The ROC curve analysis of Gal-3 plasma concentrations measured in the aortic root (A) and the femoral/radial artery (B) in the identification of AMI-patients with likelihood of 6-month occurrence of MACE or death. ROC - receiver-operating characteristics curve; AUC – area under curve; CI – confidence interval; SE - standard error; Sn – sensitivity; Sp – specificity; AMI – acute myocardial infarction; Gal-3 – Galectin 3.
Figure 1.
The ROC curve analysis of Gal-3 plasma concentrations measured in the aortic root (A) and the femoral/radial artery (B) in the identification of AMI-patients with likelihood of 6-month occurrence of MACE or death. ROC - receiver-operating characteristics curve; AUC – area under curve; CI – confidence interval; SE - standard error; Sn – sensitivity; Sp – specificity; AMI – acute myocardial infarction; Gal-3 – Galectin 3.
Table 1.
Galectin-3 (Gal-3) concentrations and baseline characteristics of the study patients stratified by major adverse cardiovascular events (MACE) including death.
Table 1.
Galectin-3 (Gal-3) concentrations and baseline characteristics of the study patients stratified by major adverse cardiovascular events (MACE) including death.
| All patientsN = 59 | No MACE or deathN = 39 | MACE or deathN = 20 | p-value | |
|---|---|---|---|---|
| Galectin-3 at site: | ||||
| Aortic root (Q1, Q3), ng/ml | 9.2 (6.8-12.1) | 8.2 (5.9-9.9) | 13.9 (10.8-16.2) | <0.001 |
| Femoral/radial artery + SD, ng/ml | 9.72 ± 3.62 | 8.53 ± 3.46 | 11.55 ± 3.15 | 0.005 |
| Coronary sinus + SD, ng/ml | 9.74 ± 3.76 | 8.43 ± 2.57 | 12.56 ± 4.40 | 0.001 |
| Cubital vein + SD, ng/ml | 9.31 ± 3.35 | 8.05 ± 2.21 | 12.06 ± 3.80 | <0.001 |
| Age + SD, years | 65 ± 9 | 63 ± 8 | 69 ± 10 | 0.013 |
| Gender (male), n (%) | 42 (71) | 32 (78.0%) | 9 (50.0%) | 0.063 |
| BMI + SD, kg/m2 | 27.8 + 3.52 | 27.8 ± 3.4 | 27.8 ± 3.9 | 0.960 |
| Smoking, n (%) | 18 (31) | 14 (34) | 4 (22) | 0.540 |
| Diabetes mellitus, n (%) | 20 (34) | 14 (70) | 6 (30) | 0.999 |
| CVI, n (%) | 3 (5) | 2 (5) | 1 (6) | 0.999 |
| Hypertension, n (%) | 38 (64) | 24 (58) | 14 (78) | 0.238 |
| Hyperlipoproteinemia, n (%) | 17 (29) | 11 (27) | 6 (33) | 0.756 |
| STEMI, n (%) | 38 (64) | 23 (56) | 15 (83) | 0.044 |
| Anterior MI, n (%) | 26 (44) | 16 (41) | 10 (50) | 0.239 |
| Inferior MI, n (%) | 33 (56) | 23 (59) | 10 (50) | 0.969 |
| NSTEMI, n (%) | 21 (36) | 16 (41) | 5 (25) | 0.044 |
| Time from pain onset (Q1, Q3), hours | 10.0 (4.0-18.0) | 9.5 (4.0-20.0) | 8.5 (3.5-15.5) | 0.882 |
| AV block, n (%) | 3 (5) | 0 (0) | 3 (17) | 0.025 |
| VT/VF, n (%) | 7 (12) | 5 (12) | 2 (11) | 0.999 |
| AF, n (%) | 5 (8) | 2 (5) | 3 (17) | 0.160 |
| Systolic BP + SD, mmHg | 130 ± 28 | 137 ± 27 | 115 ± 26 | 0.005 |
| Diastolic BP + SD, mmHg | 75 ± 17 | 79 ± 17 | 68 ± 15 | 0.023 |
| HR + SD, bpm | 74 ± 14 | 76 ± 11 | 70 ± 21 | 0.272 |
| Urea (Q1, Q3), mmol/l | 6.3 (4.9-8.5) | 5.8 (4.6-6.9) | 9.6 (7.4-13.3) | 0.003 |
| Creatinine (Q1, Q3), μmol/l | 87.0 (78.0-100.0) | 86.0 (77.0-93.8) | 115.5 (79.8-167.8) | 0.044 |
| Creatinine clearance + SD, ml/min | 83.41 ± 27.17 | 91.79 ± 21.29 | 64.32 ± 29.95 | <0.001 |
| Cholesterol + SD, mmol/l | 5.68 ± 1.32 | 5.88 ± 1.19 | 5.22 ± 1.51 | 0.081 |
| HDL + SD, mmol/l | 1.13 ± 0.26 | 1.12 ± 0.21 | 1.15 ± 0.35 | 0.742 |
| LDL + SD, mmol/l | 3.66 ± 1.15 | 3.86 ± 1.02 | 3.19 ± 1.33 | 0.042 |
| Triglycerides (Q1, Q3), mmol/l | 1.7 (1.1-2.3)) | 1.7 (1.2-2.5) | 1.3 (1.0-2.0) | 0.303 |
| CK-MB (Q1, Q3), U/l | 24.0 (15.0-52.0) | 24.0 (16.2-54.0) | 25.0 (12.2-35.8) | 0.987 |
| CRP (Q1, Q3), mg/l | 5.0 (1.5-10.6) | 4.2 (1.2-10.1) | 5.2 (2.7-33.0) | 0.278 |
| Troponin T (Q1, Q3), ng/ml | 1.2 (0.2-7.3) | 1.1 (0.3-5.8) | 2.6 (0.1-5.2) | 0.593 |
| Pro-BNP (Q1, Q3), pg/ml | 459.5 (239.7-2182.7) | 372.5 (180.2-1979.5) | 2250.0 (275.2-6492.8) | 0.004 |
| Glycaemia (Q1, Q3), mmol/l | 6.2 (5.3-8.4) | 6.0 (5.3-7.0) | 8.2 (5.0-12.6) | 0.040 |
| Potassium (Q1, Q3), mmol/l | 4.3 (4.0-4.6) | 4.2 (3.9-4.7) | 4.5 (4.1-4.7) | 0.281 |
| Sodium (Q1, Q3), mmol/l | 139.0 (137.0-141.0) | 139.0 (137.2-141.0) | 139.5 (136.0-141.2) | 0.680 |
| RBC + SD, x1012/l | 4.61 ± 0.56 | 4.73 ± 0.51 | 4.30 ± 0.58 | 0.007 |
| Haemoglobin + SD, g/l | 137.43 ± 18.99 | 144.44 ± 14.62 | 120.53 ± 17.91 | <0.001 |
| Leukocyte count (Q1, Q3), x109/l | 9.6 (8.6-12.0) | 9.4 (8.4-11.6) | 10.1 (7.4-12.9) | 0.657 |
| Platelet count + SD, x109/l | 238.03 ± 65.60 | 232.73 ± 55.37 | 250.822 ± 80.62 | 0.406 |
| LVEF + SD, % | 52 ± 5 | 53 ± 5 | 50 ± 6 | 0.157 |
| EDV + SD, mm | 77.62 ± 22.65 | 76.82 ± 21.73 | 79.53 ± 25.33 | 0.683 |
| ESV + SD, mm | 38.25 ± 13.38 | 38.8 (10.2-45.8) | 38.0 (31.5-45.8) | 0.392 |
| E/A ratio (Q1, Q3) | 0.7 (0.6-0.8) | 0.7 (0.6-0.8) | 0.7 (0.6-1.0) | 0.925 |
| E/E` ratio (Q1, Q3) | 7.9 (6.6-10.0) | 7.8 (6.5-9.7) | 8.0 (6.6-12.2) | 0.263 |
| LA + SD, mm | 37.72 ± 4.93 | 38.20 ± 4.95 | 36.59 ± 4.84 | 0.262 |
| Number of coronary lesions + SD | 1.67 + 0.87 | 1.68 ± 0.82 | 1.65 ± 1.00 | 0.887 |
| 1-vessel CAD, n (%) | 11 (19) | 8 (21) | 3 (15) | 0.869 |
| 2-vessel CAD, n (%) | 20 (34) | 15 (38) | 5 (25) | 0.601 |
| 3-vessel CAD, n (%) | 28 (47) | 16 (41) | 12 (60) | 0.029 |
| Furosemide, n (%) | 18 (31) | 9 (22) | 9 (53) | 0.030 |
| Spironolactone, n (%) | 10 (17) | 5 (12) | 5 (29) | 0.139 |
| ACE inhibitors, n (%) | 42 (71) | 32 (78) | 10 (59) | 0.197 |
| Beta-blockers, n (%) | 43 (73) | 33 (80) | 10 (59) | 0.107 |
| Calcium channel antagonists, n (%) | 7 (12) | 3 (7) | 4 (23) | 0.178 |
| Amiodarone, n (%) | 13 (22) | 8 (19) | 5 (29) | 0.494 |
| DAPT, n (%) | 53 (90) | 39 (95) | 14 (82) | 0.144 |
| Ticagrelor, n (%) | 33 (56) | 26 (63) | 7 (41) | 0.151 |
| Trimetazidine, n (%) | 25 (42) | 18 (44) | 7 (41) | 0.999 |
| Statins, n (%) | 54 (92) | 39 (95) | 15 (88) | 0.573 |
| UFH/LMWH, n (%) | 55 (93) | 40 (98) | 15 (94) | 0.999 |
Data are presented as mean ± SD or median with interquartile range (IQR) or numbers (%). BMI - body mass index, CVI - cerebrovascular insult, STEMI - ST elevation myocardial infarction, NSTEMI - Non ST elevation myocardial infarction, AV - atrioventricular, VT/VF - ventricular tachycardia/ventricular fibrillation, AF - atrial fibrillation, BP - blood pressure, HR - heart rate, CRP - C reactive protein, proBNP - pro brain natriuretic peptide, RBC – red blood cell, ACE inhibitor - angiotensin converting enzyme inhibitor, DAPT - dual antiplatelet therapy, UFH/LMWH - unfractionated heparin/ low molecule weight heparin.
Table 2.
Major adverse cardiovascular events (MACE) at 6 months after acute myocardial infarction (AMI).
Table 2.
Major adverse cardiovascular events (MACE) at 6 months after acute myocardial infarction (AMI).
| Event | n (%) |
|---|---|
| MACE, n (%) | 20 (100) |
| Death, n (%) | 5 (25) |
| Re-AMI, n (%) | 1 (5) |
| Cerebrovascular insult, n (%) | 4 (20) |
| Re-hospitalization due to heart failure, n (%) | 5 (25) |
| Re-hospitalization due to malignant arrhythmias, n (%) | 5 (25) |
Table 3.
Multivariate logistic regression for all significant univariate variables (p<0.1) predicting major adverse cardiovascular events (MACE) or death at six months follow-up.
Table 3.
Multivariate logistic regression for all significant univariate variables (p<0.1) predicting major adverse cardiovascular events (MACE) or death at six months follow-up.
| Univariate analysis | OR (95%CI) | p-value | R2 | HL test p-value |
|---|---|---|---|---|
| Galectin-3 at site: | ||||
| Aortic root | 1.277 (1.076-1.517) | 0.005 | 0.255 | 0.581 |
| Femoral/radial artery | 1.309 (1.068-1.604) | 0.009 | 0.224 | 0.556 |
| Coronary sinus | 1.422 (1.155-1.750) | 0.001 | 0.342 | 0.48695 |
| Cubital vein | 1.566 (1.225-2.000) | <0.001 | 0.405 | 0.454 |
| Age (years) | 1.089 (1.014-1.169) | 0.018 | 0.145 | 0.289 |
| Gender (male) | 0.281 (0.086-0.918) | 0.036 | 0.103 | 0.301 |
| STEMI | 3.913 (0.980-15.625) | 0.053 | 0.101 | 0.300 |
| NSTEMI | 0.256 (0.064-1.020) | 0.053 | 0.101 | 0.300 |
| 3-vessel CAD, n (%) | 3.375 (1.110-12.669) | 0.033 | 0.115 | 0.256 |
| Systolic BP (mmHg) | 0.968 (0.945-0.992) | 0.009 | 0.186 | 0.081 |
| Diastolic BP (mmHg) | 0.958 (0.922-0.996) | 0.030 | 0.126 | 0.553 |
| Urea (mmol/l) | 1.546 (1.167-2.048) | 0.002 | 0.296 | 0.616 |
| Creatinine (μmol/l) | 1.034 (1.008-1.061) | 0.010 | 0.264 | 0.004 |
| Creatinine clearance (ml/min) | 0.954 (0.927-0.982) | 0.001 | 0.305 | 0.220 |
| Cholesterol (mmol/l) | 0.677 (0.432-1.062) | 0.090 | 0.074 | 0.464 |
| LDL (mmol/l) | 0.591 (0.349-1.000) | 0.050 | 0.100 | 0.672 |
| Pro-BNP (pg/ml) | 1.000 (1.000-1.001) | 0.022 | 0.176 | 0.549 |
| Glycaemia (mmol/l) | 1.270 (1.043-1.547) | 0.017 | 0.172 | 0.109 |
| RBC count (x1012/l) | 0.227 (0.070-0.739) | 0.014 | 0.167 | 0.913 |
| Haemoglobin (g/l) | 0.914 (0.869-0.961) | <0.001 | 0.439 | 0.382 |
| Furosemide | 4.000 (1.198-13.357) | 0.024 | 0.122 | 0.516 |
| Multivariateanalysis | OR (95%CI) | p-value | R2 | HL test p-value |
| Gal-3 level at aortic roota | 1.228 (1.011-1.491) | 0.038 | 0.621 | 0.440 |
| Haemoglobin (g/l) | 0.821 (0.699-0.965) | 0.017 | 0.621 | 0.440 |
| Gal-3 level Femoral/radial arterya | 3.438 (1.275-9.265) | 0.015 | 0.846 | 0.943 |
| Haemoglobin (g/l) | 0.860 (0.765-0.966) | 0.011 | 0.846 | 0.943 |
| Creatinine clearance (ml/min) | 0.908 (0.829-0.994) | 0.036 | 0.846 | 0.943 |
| Gal-3 level coronary sinusa | 1.044 (0.663-1.644) | 0.851 | 0.519 | 0.858 |
| Haemoglobin (g/l) | 0.927 (0.874-0.984) | 0.012 | 0.519 | 0.858 |
| Gal-3 level cubital veina | 1.163 (0.694-1.948) | 0.566 | 0.519 | 0.860 |
| Haemoglobin (g/l) | 0.927 (0.874-0.984) | 0.012 | 0.519 | 0.860 |
| Urea (mmol/l) | 1.521 (1.039-2.226) | 0.031 | 0.519 | 0.860 |
Dependent variable: major adverse cardiovascular events (MACE) or death at six months follow-up. Multivariate logistic regression analyses were adjusted for all variables with p≤0.1 in univariate analysis. aonly variable in the model; CI - confidence interval; OR – odd ratio; R2 - Nagelkerke R square; HL - Hosmer and Lemeshow test; BP – blood pressure, Gal-3 – galectin-3, LDL - low-density lipoprotein, proBNP - pro brain natriuretic peptide, RBC – red blood cells, STEMI – ST-elevation myocardial infarction, NSTEMI – non-ST-elevation myocardial infarction.
Table 4.
The ability of Galectin-3 (Gal-3) on day 1 to discriminate patients likely to experience major adverse cardiovascular events (MACE) or death within 6 months after acute myocardial infarction (AMI).
Table 4.
The ability of Galectin-3 (Gal-3) on day 1 to discriminate patients likely to experience major adverse cardiovascular events (MACE) or death within 6 months after acute myocardial infarction (AMI).
| Gal-3 at site | AUC (95% CI) | SE | p-value | Cut-off (ng/ml) | Sn (%) | Sp (%) | PPV (%) | NPV (%) |
|---|---|---|---|---|---|---|---|---|
| Aortic root | 0.858 (0.744-0.973) | 0.058 | <0.001 | 10.86 | 80% | 87% | 76% | 89% |
| Femoral artery | 0.742 (0.596-0.888) | 0.074 | 0.006 | 10.18 | 70% | 77% | 61% | 83% |
ROC - receiver-operating characteristics curve; AUC - area under curve; SE - standard error;.CI - confidence interval; Sn - sensitivity; Sp - specificity; PPV - positive predictive value; NPV -negative predictive value.
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