Background: Data are lacking regarding optimal discontinuation time of preoperative aspirin before coronary artery bypass grafting (CABG). We aimed at assessing the impact of aspirin discontinuation according to time intervals before CABG and its influence on early postoperative outcomes.
Methods: In this retrospective study, we enrolled 652 patients who underwent primary isolated nonemergent CABG between October 2014 and December 2017. Patients were assigned into groups according to the time interval between the last aspirin dose administration and the time of surgery. The first group comprised patients who were given aspirin ≤24-h before CABG (n = 304), whereas the second group consisted of patients who took aspirin between 24 and 48 h before CABG (n = 348). Efficacy endpoints included 30-d mortality rate, incidence of major adverse cardiac and cerebral events (MACCE) and composite rates of 30-d mortality/MACCE. Propensity score matching was used for final comparison.
Results: Overall, multivariate analysis showed that aspirin administration ≤24 h before CABG was associated with reduced 30-d mortality rate and MACCE by 75% and 57%, respectively. Before as well as after propensity score matching, multivariate analysis showed that aspirin administration ≤24-h before CABG was associated with reduced composite rates of 30-d mortality rate and MACCE by 55% and 59%, respectively. Subgroup analysis stratified by the type of surgery showed that aspirin administration ≤24-h significantly reduced composite rates of 30-d mortality/MACCE in patients after off-pump CABG.
Conclusions: Preoperative administration of aspirin ≤24-h before CABG is associated with the reduction of postoperative mortality as well as MACCE. The evidence also suggests that aspirin administration ≤24-h is strongly associated with reduced composite rates of 30-d mortality/MACCE in patients submitted to off-pump CABG.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jss.2019.09.026 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Left ventricular disease as a risk factor for adverse outcomes and stroke recurrence in patients with embolic stroke of undetermined source.
Eur Stroke J
January 2025
Neurology and Stroke Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Background: Severe left ventricular (LV) systolic dysfunction (ejection fraction [EF] < 30%) is a known cardiovascular risk factor and a major cause of cardioembolism. However, less severe forms of LV disease (LVD), such as mild-to-moderate LV dysfunction and LV wall motion abnormalities (LVWMAs), are considered potential minor cardiac sources in Embolic Stroke of Undetermined Source (ESUS), but their role is underexplored. This study aims to evaluate the prevalence of LVD in ESUS and its association with adverse vascular events and mortality.
View Article and Find Full Text PDFEdible Berries-An Update on Nutritional Composition and Health Benefits-Part II.
Curr Nutr Rep
January 2025
Institute of Nutrition, Mahidol University, 999 Phutthamonthon 4 Road, Salaya, Nakhon Pathom, 73170, Thailand.
Purpose Of Review: Berries are a great source of fiber, polyunsaturated fatty acids, and beneficial secondary metabolites (polyphenols). Various phytochemicals present in berries (glycosidic-linked flavonoids, anthocyanins, etc.) provide potential health benefits to consumers.
View Article and Find Full Text PDFIncreased Prevalence of Skeletal Anomalies on Ultrasound Evaluation of Buprenorphine-Exposed Human Fetuses.
South Med J
January 2025
Department of Obstetrics and Gynecology, East Tennessee State University, Johnson City.
Objectives: In this study, buprenorphine was the primary source of maternal opioid exposure at the time of initial prenatal evaluation. Current recommendations advise that level II ultrasounds be performed in patients with substance use disorders. For some patients, distance, transportation, and costs associated with obtaining ultrasounds from a specialist pose significant barriers.
View Article and Find Full Text PDFEfficient removal of direct dyes and heavy metal ion by sodium alginate-based hydrogel microspheres: Equilibrium isotherms, kinetics and regeneration performance study.
Int J Biol Macromol
January 2025
Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China; Open Studio for Marine Corrosion and Protection, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266100, China; Key Laboratory of Ocean Observation and Information of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Sanya 572024, China. Electronic address:
Improving the adsorption capacity of materials for pollutants by means of modification is an important direction in the research of water treatment technology. To improve the applicability of sodium alginate composites in the field of adsorption, magnetic sodium alginate-based hydrogel microsphere adsorbent material FeO@SA/PEI-Fe (FSPF) was synthesized in a single step by using polyethyleneimine grafting modification of sodium alginate by sol-gel method. The material was used for the removal of direct blue GL (DB 200) and direct date red B (DR 13) from simulated wastewater, as well as Cu(II) and Pb(II) from simulated wastewater with heavy metal ions.
View Article and Find Full Text PDFComparative analysis of Modified Johnson-Cook model and Artificial Neural Network for flow stress prediction in BN-reinforced AZ80 magnesium composite.
J Phys Condens Matter
January 2025
University of Science and Technology Beijing, No. 30, Xueyuan Road, Haidian District, Beijing, 100083, CHINA.
Boron nitride (BN), renowned for its exceptional optoelectrical properties, mechanical robustness, and thermal stability, has emerged as a promising two-dimensional (2D) material. Reinforcing AZ80 magnesium alloy with BN can significantly enhance its mechanical properties. To investigate and predict this enhancement during hot deformation, we introduce two independent modeling approaches a modified Johnson-Cook (J-C) constitutive model and an Artificial Neural Network (ANN).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!