The burden of major adverse cardiac events in patients with coronary artery disease
- PMID: 28052754
- PMCID: PMC5210314
- DOI: 10.1186/s12872-016-0436-7
The burden of major adverse cardiac events in patients with coronary artery disease
Abstract
Background: Patients with a history of cardiovascular disease are at high risk of developing secondary major adverse cardiac events (MACE). This study aimed to identify independent predictors of MACE after hospital admission which could be used to identify of high-risk patients who may benefit from preventive strategies.
Methods: This study included 1,520 consecutive patients with coronary artery disease (CAD) (654 with acute coronary syndrome (ACS) and 866 with elective percutaneous coronary intervention (PCI) patients) who received PCI and/or stenting. MACE was defined as all-cause mortality or rehospitalization for a cardiovascular- related illness. Cardiovascular-related illnesses included heart failure, reinfarction (nonfatal), recurrence of angina pectoris and repeat PCI or coronary artery bypass graft.
Results: During a mean follow-up period of 32 months, 558 of the 1,520 patients developed at least one MACE. Cox regression analysis showed that the baseline clinical and biochemical variables which associated with MACE were age, being illiterate, a widow or widower, and/or economically dependent, having triple vessel disease, stent implantation, anemia, and/or diabetes mellitus, waist to hip ratio (WHR), diastolic blood pressure, fasting glucose, total cholesterol, high-density lipoprotein cholesterol (HDL-C), creatinine, estimated glomerular filtration rate (eGFR), red blood cell count, hemoglobin, hematocrit, and mean corpuscular-hemoglobin concentration (MCHC) in ACS patients, and age, malnourished, and/or economically dependent, taking hypoglycemic medication, having triple vessel disease, stent implantation, anemia, diabetes mellitus, and/or hypertension, WHR, fasting glucose, HDL-C, uric acid, creatinine, eGFR, high-sensitivity C-reactive protein, mean corpuscular volume, and MCHC in elective PCI patients. Using multivariate Cox regression analysis, we found the MACE's independent factors are triple vessel disease, stent implantation, hypertension, and eGFR in ACS patients, and having triple vessel disease, stent implantation, hypertension, and uric acid in elective PCI patients.
Conclusions: Having triple vessel disease, stent implantation, hypertension, and eGFR or uric acid independently predicted MACE in patients with CAD after long-term follow-up. Fortunately, these factors are modifiable and should be identified and monitored early.
Keywords: Coronary artery disease; Major adverse cardiovascular events; Predictive factors.
Figures
Similar articles
-
The anatomic- and clinical-based NERS (new risk stratification) score II to predict clinical outcomes after stenting unprotected left main coronary artery disease: results from a multicenter, prospective, registry study.JACC Cardiovasc Interv. 2013 Dec;6(12):1233-41. doi: 10.1016/j.jcin.2013.08.006. Epub 2013 Nov 13. JACC Cardiovasc Interv. 2013. PMID: 24239199
-
Increased cystatin C levels as a risk factor of cardiovascular events in patients with preserved estimated glomerular filtration rate after elective percutaneous coronary intervention with drug-eluting stents.Heart Vessels. 2016 May;31(5):694-701. doi: 10.1007/s00380-015-0674-0. Epub 2015 Apr 12. Heart Vessels. 2016. PMID: 25863806
-
Impact of renal failure on all-cause mortality and other outcomes in patients treated by percutaneous coronary intervention.Arch Cardiovasc Dis. 2015 Nov;108(11):554-62. doi: 10.1016/j.acvd.2015.06.001. Epub 2015 Jul 13. Arch Cardiovasc Dis. 2015. PMID: 26184868
-
The Role of Vascular Imaging in Guiding Routine Percutaneous Coronary Interventions: A Meta-Analysis of Bare Metal Stent and Drug-Eluting Stent Trials.Cardiovasc Ther. 2015 Dec;33(6):360-6. doi: 10.1111/1755-5922.12160. Cardiovasc Ther. 2015. PMID: 26363283 Review.
-
In-hospital and long-term outcomes of HIV-positive patients undergoing PCI according to kind of stent: a meta-analysis.J Cardiovasc Med (Hagerstown). 2019 May;20(5):321-326. doi: 10.2459/JCM.0000000000000767. J Cardiovasc Med (Hagerstown). 2019. PMID: 30664538 Review.
Cited by
-
Interpretable machine learning models for predicting in-hospital and 30 days adverse events in acute coronary syndrome patients in Kuwait.Sci Rep. 2024 Jan 12;14(1):1243. doi: 10.1038/s41598-024-51604-8. Sci Rep. 2024. PMID: 38216605 Free PMC article.
-
Artificial intelligence: revolutionizing cardiology with large language models.Eur Heart J. 2024 Feb 1;45(5):332-345. doi: 10.1093/eurheartj/ehad838. Eur Heart J. 2024. PMID: 38170821 Free PMC article.
-
Major Adverse Dystrophinopathy Events (MADE) Score as Marker of Cumulative Morbidity and Risk for Mortality in Boys with Duchenne Muscular Dystrophy.Prog Pediatr Cardiol. 2023 Jun;69:101639. doi: 10.1016/j.ppedcard.2023.101639. Epub 2023 Mar 15. Prog Pediatr Cardiol. 2023. PMID: 37990740
-
Ten-year predictors of major adverse cardiovascular events in patients without angina.S Afr Fam Pract (2004). 2023 Aug 4;65(1):e1-e9. doi: 10.4102/safp.v65i1.5629. S Afr Fam Pract (2004). 2023. PMID: 37782229 Free PMC article.
-
Prognostic Role of Diastolic Left Ventricular Mechanical Dyssynchrony by Gated Single Photon Emission Computed Tomography Myocardial Perfusion Imaging in Post-Myocardial Infarction.World J Nucl Med. 2023 May 1;22(2):108-113. doi: 10.1055/s-0043-1764304. eCollection 2023 Jun. World J Nucl Med. 2023. PMID: 37223631 Free PMC article.
References
-
- Directorate-general of budget, accounting and statistics Executive Yuan, Republic of China Statistical Yearbook of the Republic of China. Health. 2010;114:109–116.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials
Miscellaneous
