Systemic Vulnerability, as Expressed by I-CAM and MMP-9 at Presentation, Predicts One Year Outcomes in Patients with Acute Myocardial Infarction—Insights from the VIP Clinical Study

(1) Background: The prediction of recurrent events after acute myocardial infarction (AMI) does not sufficiently integrate systemic inflammation, coronary morphology or ventricular function in prediction algorithms. We aimed to evaluate the accuracy of inflammatory biomarkers, in association with an...

Full description

Bibliographic Details
Main Authors: Diana Opincariu, Ioana Rodean, Nora Rat, Roxana Hodas, Imre Benedek, Theodora Benedek
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/10/15/3435
id doaj-88cac779c0814ccbb5f985781bb6d49e
record_format Article
spelling doaj-88cac779c0814ccbb5f985781bb6d49e2021-08-06T15:27:10ZengMDPI AGJournal of Clinical Medicine2077-03832021-07-01103435343510.3390/jcm10153435Systemic Vulnerability, as Expressed by I-CAM and MMP-9 at Presentation, Predicts One Year Outcomes in Patients with Acute Myocardial Infarction—Insights from the VIP Clinical StudyDiana Opincariu0Ioana Rodean1Nora Rat2Roxana Hodas3Imre Benedek4Theodora Benedek5Department of Cardiology, University of Medicine, Pharmacy, Sciences and Technology “George Emil Palade”, 540142 Târgu Mureș, RomaniaDepartment of Cardiology, University of Medicine, Pharmacy, Sciences and Technology “George Emil Palade”, 540142 Târgu Mureș, RomaniaDepartment of Cardiology, University of Medicine, Pharmacy, Sciences and Technology “George Emil Palade”, 540142 Târgu Mureș, RomaniaDepartment of Cardiology, University of Medicine, Pharmacy, Sciences and Technology “George Emil Palade”, 540142 Târgu Mureș, RomaniaDepartment of Cardiology, University of Medicine, Pharmacy, Sciences and Technology “George Emil Palade”, 540142 Târgu Mureș, RomaniaDepartment of Cardiology, University of Medicine, Pharmacy, Sciences and Technology “George Emil Palade”, 540142 Târgu Mureș, Romania(1) Background: The prediction of recurrent events after acute myocardial infarction (AMI) does not sufficiently integrate systemic inflammation, coronary morphology or ventricular function in prediction algorithms. We aimed to evaluate the accuracy of inflammatory biomarkers, in association with angiographical and echocardiographic parameters, in predicting 1-year MACE after revascularized AMI. (2) Methods: This is an extension of a biomarker sub-study of the VIP trial (NCT03606330), in which 225 AMI patients underwent analysis of systemic vulnerability and were followed for 1 year. Hs-CRP, MMP-9, IL-6, I-CAM, V-CAM and E-selectin were determined at 1 h after revascularization. The primary end-point was the 1-year MACE rate. (3) Results: The MACE rate was 24.8% (<i>n</i> = 56). There were no significant differences between groups in regard to IL-6, V-CAM and E-selectin. The following inflammatory markers were significantly higher in MACE patients: hs-CRP (11.1 ± 13.8 vs. 5.1 ± 4.4 mg/L, <i>p</i> = 0.03), I-CAM (452 ± 283 vs. 220.5 ± 104.6, <i>p</i> = 0.0003) and MMP-9 (2255 ± 1226 vs. 1099 ± 706.1 ng/mL <i>p</i> = 0.0001). The most powerful predictor for MACE was MMP-9 of >1155 ng/mL (AUC-0.786, <i>p</i> < 0.001) even after adjustments for diabetes, LVEF, acute phase complications and other inflammatory biomarkers. For STEMI, the most powerful predictors for MACE included I-CAM > 239.7 ng/mL, V-CAM > 877.9 ng/mL and MMP-9 > 1393 ng/mL. (4) Conclusions: High levels of I-CAM and MMP-9 were the most powerful predictors for recurrent events after AMI for the overall study population. For STEMI subjects, the most important predictors included increased levels of I-CAM, V-CAM and MMP-9, while none of the analyzed parameters had proven to be predictive. Inflammatory biomarkers assayed during the acute phase of AMI presented a more powerful predictive capacity for MACE than the LVEF.https://www.mdpi.com/2077-0383/10/15/3435acute myocardial infarctionpredictors for 1 year-MACEserum inflammatory biomarkersMMP-9angiographical characteristics
collection DOAJ
language English
format Article
sources DOAJ
author Diana Opincariu
Ioana Rodean
Nora Rat
Roxana Hodas
Imre Benedek
Theodora Benedek
spellingShingle Diana Opincariu
Ioana Rodean
Nora Rat
Roxana Hodas
Imre Benedek
Theodora Benedek
Systemic Vulnerability, as Expressed by I-CAM and MMP-9 at Presentation, Predicts One Year Outcomes in Patients with Acute Myocardial Infarction—Insights from the VIP Clinical Study
Journal of Clinical Medicine
acute myocardial infarction
predictors for 1 year-MACE
serum inflammatory biomarkers
MMP-9
angiographical characteristics
author_facet Diana Opincariu
Ioana Rodean
Nora Rat
Roxana Hodas
Imre Benedek
Theodora Benedek
author_sort Diana Opincariu
title Systemic Vulnerability, as Expressed by I-CAM and MMP-9 at Presentation, Predicts One Year Outcomes in Patients with Acute Myocardial Infarction—Insights from the VIP Clinical Study
title_short Systemic Vulnerability, as Expressed by I-CAM and MMP-9 at Presentation, Predicts One Year Outcomes in Patients with Acute Myocardial Infarction—Insights from the VIP Clinical Study
title_full Systemic Vulnerability, as Expressed by I-CAM and MMP-9 at Presentation, Predicts One Year Outcomes in Patients with Acute Myocardial Infarction—Insights from the VIP Clinical Study
title_fullStr Systemic Vulnerability, as Expressed by I-CAM and MMP-9 at Presentation, Predicts One Year Outcomes in Patients with Acute Myocardial Infarction—Insights from the VIP Clinical Study
title_full_unstemmed Systemic Vulnerability, as Expressed by I-CAM and MMP-9 at Presentation, Predicts One Year Outcomes in Patients with Acute Myocardial Infarction—Insights from the VIP Clinical Study
title_sort systemic vulnerability, as expressed by i-cam and mmp-9 at presentation, predicts one year outcomes in patients with acute myocardial infarction—insights from the vip clinical study
publisher MDPI AG
series Journal of Clinical Medicine
issn 2077-0383
publishDate 2021-07-01
description (1) Background: The prediction of recurrent events after acute myocardial infarction (AMI) does not sufficiently integrate systemic inflammation, coronary morphology or ventricular function in prediction algorithms. We aimed to evaluate the accuracy of inflammatory biomarkers, in association with angiographical and echocardiographic parameters, in predicting 1-year MACE after revascularized AMI. (2) Methods: This is an extension of a biomarker sub-study of the VIP trial (NCT03606330), in which 225 AMI patients underwent analysis of systemic vulnerability and were followed for 1 year. Hs-CRP, MMP-9, IL-6, I-CAM, V-CAM and E-selectin were determined at 1 h after revascularization. The primary end-point was the 1-year MACE rate. (3) Results: The MACE rate was 24.8% (<i>n</i> = 56). There were no significant differences between groups in regard to IL-6, V-CAM and E-selectin. The following inflammatory markers were significantly higher in MACE patients: hs-CRP (11.1 ± 13.8 vs. 5.1 ± 4.4 mg/L, <i>p</i> = 0.03), I-CAM (452 ± 283 vs. 220.5 ± 104.6, <i>p</i> = 0.0003) and MMP-9 (2255 ± 1226 vs. 1099 ± 706.1 ng/mL <i>p</i> = 0.0001). The most powerful predictor for MACE was MMP-9 of >1155 ng/mL (AUC-0.786, <i>p</i> < 0.001) even after adjustments for diabetes, LVEF, acute phase complications and other inflammatory biomarkers. For STEMI, the most powerful predictors for MACE included I-CAM > 239.7 ng/mL, V-CAM > 877.9 ng/mL and MMP-9 > 1393 ng/mL. (4) Conclusions: High levels of I-CAM and MMP-9 were the most powerful predictors for recurrent events after AMI for the overall study population. For STEMI subjects, the most important predictors included increased levels of I-CAM, V-CAM and MMP-9, while none of the analyzed parameters had proven to be predictive. Inflammatory biomarkers assayed during the acute phase of AMI presented a more powerful predictive capacity for MACE than the LVEF.
topic acute myocardial infarction
predictors for 1 year-MACE
serum inflammatory biomarkers
MMP-9
angiographical characteristics
url https://www.mdpi.com/2077-0383/10/15/3435
work_keys_str_mv AT dianaopincariu systemicvulnerabilityasexpressedbyicamandmmp9atpresentationpredictsoneyearoutcomesinpatientswithacutemyocardialinfarctioninsightsfromthevipclinicalstudy
AT ioanarodean systemicvulnerabilityasexpressedbyicamandmmp9atpresentationpredictsoneyearoutcomesinpatientswithacutemyocardialinfarctioninsightsfromthevipclinicalstudy
AT norarat systemicvulnerabilityasexpressedbyicamandmmp9atpresentationpredictsoneyearoutcomesinpatientswithacutemyocardialinfarctioninsightsfromthevipclinicalstudy
AT roxanahodas systemicvulnerabilityasexpressedbyicamandmmp9atpresentationpredictsoneyearoutcomesinpatientswithacutemyocardialinfarctioninsightsfromthevipclinicalstudy
AT imrebenedek systemicvulnerabilityasexpressedbyicamandmmp9atpresentationpredictsoneyearoutcomesinpatientswithacutemyocardialinfarctioninsightsfromthevipclinicalstudy
AT theodorabenedek systemicvulnerabilityasexpressedbyicamandmmp9atpresentationpredictsoneyearoutcomesinpatientswithacutemyocardialinfarctioninsightsfromthevipclinicalstudy
_version_ 1721218045683171328