percutaneous coronary
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2022 ◽  
Vol 4 (1) ◽  
Author(s):  
Georgios Tzimas ◽  
Gaurav S. Gulsin ◽  
Hidenobu Takagi ◽  
Niya Mileva ◽  
Jeroen Sonck ◽  
...  

Micromachines ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 140
Author(s):  
Wei Jiang ◽  
Wenxiang Zhao ◽  
Tianfeng Zhou ◽  
Liang Wang ◽  
Tianyang Qiu

Percutaneous coronary intervention (PCI) with stent implantation is one of the most effective treatments for cardiovascular diseases (CVDs). However, there are still many complications after stent implantation. As a medical device with a complex structure and small size, the manufacture and post-processing technology greatly impact the mechanical and medical performances of stents. In this paper, the development history, material, manufacturing method, and post-processing technology of vascular stents are introduced. In particular, this paper focuses on the existing manufacturing technology and post-processing technology of vascular stents and the impact of these technologies on stent performance is described and discussed. Moreover, the future development of vascular stent manufacturing technology will be prospected and proposed.


2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Toshiki Kuno ◽  
Takahisa Mikami ◽  
Yuki Sahashi ◽  
Yohei Numasawa ◽  
Masahiro Suzuki ◽  
...  

AbstractAcute kidney injury (AKI) after percutaneous coronary intervention (PCI) is associated with a significant risk of morbidity and mortality. The traditional risk model provided by the National Cardiovascular Data Registry (NCDR) is useful for predicting the preprocedural risk of AKI, although the scoring system requires a number of clinical contents. We sought to examine whether machine learning (ML) techniques could predict AKI with fewer NCDR-AKI risk model variables within a comparable PCI database in Japan. We evaluated 19,222 consecutive patients undergoing PCI between 2008 and 2019 in a Japanese multicenter registry. AKI was defined as an absolute or a relative increase in serum creatinine of 0.3 mg/dL or 50%. The data were split into training (N = 16,644; 2008–2017) and testing datasets (N = 2578; 2017–2019). The area under the curve (AUC) was calculated using the light gradient boosting model (GBM) with selected variables by Lasso and SHapley Additive exPlanations (SHAP) methods among 12 traditional variables, excluding the use of an intra-aortic balloon pump, since its use was considered operator-dependent. The incidence of AKI was 9.4% in the cohort. Lasso and SHAP methods demonstrated that seven variables (age, eGFR, preprocedural hemoglobin, ST-elevation myocardial infarction, non-ST-elevation myocardial infarction/unstable angina, heart failure symptoms, and cardiogenic shock) were pertinent. AUC calculated by the light GBM with seven variables had a performance similar to that of the conventional logistic regression prediction model that included 12 variables (light GBM, AUC [training/testing datasets]: 0.779/0.772; logistic regression, AUC [training/testing datasets]: 0.797/0.755). The AKI risk model after PCI using ML enabled adequate risk quantification with fewer variables. ML techniques may aid in enhancing the international use of validated risk models.


2022 ◽  
Vol 11 (2) ◽  
pp. 424
Author(s):  
Sa’ar Minha ◽  
David Pereg

Percutaneous coronary intervention (PCI) is a safe and effective procedure performed worldwide providing both symptom relief and sustained improved outcomes for millions of patients [...]


2022 ◽  
Vol 20 (2) ◽  
pp. 403-409
Author(s):  
Tarek A. Abdelaziz ◽  
Randa H. Mohamed ◽  
Gehan F. Balata ◽  
Omar Y. El-Azzazy

Purpose: To evaluate the association between common single nucleotide polymorphisms (SNPs) in angiotensin converting enzyme (ACE) gene and the risk of in-stent restenosis (ISR) and/or the response to angiotensin converting enzyme inhibitor ACEI in individuals with stable coronary artery disease (CAD) after stent implantation. Methods: The total population of this study consisted of 200 Egyptian individuals divided into 2 groups - in-stent restenosis (ISR) and non ISR group). Genomic DNA was withdrawn from EDTA whole blood applying a spin column approach and ACE gene insertion/deletion (I/D) polymorphisms were determined by polymerase chain reaction (PCR). Results: Carriers of allele D of ACE gene were significantly more liable to ISR occurrence. However, carriers of allele I were significantly more liable to ISR occurrence after administration of ACEI. There is a negative interaction between DD genotype of ACE gene and ACEI administration on ISR after percutaneous coronary intervention (PCI). However, there is a positive interaction between II and ID genotype of ACE gene and ACEI administration on ISR after PCI with bare metal stents (BMS). Conclusion: It is beneficial to implement ACEI in therapeutic regimen in individuals with ID or II genotypes of ACE gene, especially with BMS implementation.


Author(s):  
Thomas A. Meijers ◽  
Adel Aminian ◽  
Marleen van Wely ◽  
Koen Teeuwen ◽  
Thomas Schmitz ◽  
...  

Background The use of large‐bore (LB) arterial access and guiding catheters has been advocated for complex percutaneous coronary intervention. However, the impact of LB transradial access (TRA) and transfemoral access (TFA) on extremity dysfunction is currently unknown. Methods and Results The predefined substudy of the COLOR (Complex Large‐Bore Radial PCI) trial aimed to assess upper and lower‐extremity dysfunction after LB radial and femoral access. Upper‐extremity function was assessed in LB TRA‐treated patients by the Quick Disabilities of the Arm, Shoulder, and Hand questionnaire and lower‐extremity function in LB TFA‐treated patients by the Lower Extremity Functional Scale questionnaire. Extremity pain and effect of access site complications and risk factors on extremity dysfunction was also analyzed. There were 343 patients who completed analyzable questionnaires. Overall, upper and lower‐extremity function did not decrease over time when LB TRA and TFA were used for complex percutaneous coronary intervention, as represented by the median Quick Disabilities of the Arm, Shoulder, and Hand score (6.8 at baseline and 2.1 at follow‐up, higher is worse) and Lower Extremity Functional Scale score (56 at baseline and 58 at follow‐up, lower is worse). Clinically relevant extremity dysfunction occurred in 6% after TRA and 9% after TFA. A trend for more pronounced upper‐limb dysfunction was present in female patients after LB TRA ( P =0.05). Lower‐extremity pain at discharge was significantly higher in patients with femoral access site complications ( P =0.02). Conclusions Following LB TRA and TFA, self‐reported upper and lower‐limb function did not decrease over time in the majority of patients. Clinically relevant limb dysfunction occurs in a small minority of patients regardless of radial or femoral access. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03846752.


2022 ◽  
Vol 8 ◽  
Author(s):  
Miaohan Qiu ◽  
Yi Li ◽  
Kun Na ◽  
Zizhao Qi ◽  
Sicong Ma ◽  
...  

Backgrounds: A plug-and-play standardized algorithm to identify the ischemic risk in patients with coronary artery disease (CAD) undergoing percutaneous coronary intervention (PCI) could play a valuable step to help a wide spectrum of clinic workers. This study intended to investigate the ability to use the accumulation of multiple clinical routine risk scores to predict long-term ischemic events in patients with CAD undergoing PCI.Methods: This was a secondary analysis of the I-LOVE-IT 2 (Evaluate Safety and Effectiveness of the Tivoli drug-eluting stent (DES) and the Firebird DES for Treatment of Coronary Revascularization) trial, which was a prospective, multicenter, and randomized study. The Global Registry for Acute Coronary Events (GRACE), baseline Synergy Between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX), residual SYNTAX, and age, creatinine, and ejection fraction (ACEF) score were calculated in all patients. Risk stratification was based on the number of these four scores that met the established thresholds for the ischemic risk. The primary end point was ischemic events at 48 months, defined as the composite of cardiac death, nonfatal myocardial infarction, stroke, or definite/probable stent thrombosis (ST).Results: The 48-month ischemic events had a significant trend for higher event rates (from 6.61 to 16.93%) with an incremental number of risk scores presenting the higher ischemic risk from 0 to ≥3 (p trend < 0.001). In addition, the categories were associated with increased risk for all components of ischemic events, including cardiac death (from 1.36 to 3.15%), myocardial infarction (MI) (from 3.31 to 9.84%), stroke (3.31 to 6.10%), definite/probable ST (from 0.58 to 1.97%), and all-cause mortality (from 2.14 to 6.30%) (all p trend < 0.05). The net reclassification index after combined with four risk scores was 12.5% (5.3–20.0%), 9.4% (2.0–16.8%), 12.1% (4.5–19.7%), and 10.7% (3.3–18.1%), which offered statistically significant improvement in the performance, compared with SYNTAX, residual SYNTAX, ACEF, and GRACE score, respectively.Conclusion: The novel multiple risk score model was significantly associated with the risk of long-term ischemic events in these patients with an increment of scores. A meaningful improvement to predict adverse outcomes when multiple risk scores were applied to risk stratification.


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