Prevalence, Trends, and Outcomes of Higher-Risk Percutaneous Coronary Interventions Among Patients Without Acute Coronary Syndromes

Iverson, Ann; Stanberry, Larissa; Tajti, Péter; Garberich, Ross; Antos, Amber; Burke, M. Nicholas; Chavez, Ivan; Gössl, Mario; Henry, Timothy D.; Lips, Daniel; Mooney, M.; Poulose, Anil; Sorajja, Paul; Traverse, Jay H.; Wang, Yale; Bradley, Steven M; Brilakis, Emmanouil S.

doi:10.1016/j.carrev.2018.07.017

Cited by 14 publications

(10 citation statements)

References 10 publications

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“…However, almost by definition, increased patient and lesion complexity engender both a greater risk of procedural complications and adverse outcomes. 3 , 4 Considering these outcomes inherent to HRPCI procedures, a team‐based approach to these procedures might be ideal.…”

mentioning

confidence: 99%

How Many Operators Are Optimal for Higher‐Risk Percutaneous Coronary Intervention Procedures?

Lee

Moses

Kirtane

2021

JAHA

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mentioning

confidence: 99%

How Many Operators Are Optimal for Higher‐Risk Percutaneous Coronary Intervention Procedures?

Lee

Moses

Kirtane

2021

JAHA

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“…Prior to cardiac catheterization, CT imaging is not required in ACS patients. However, CT imaging for angle assessment might have clinical advantage over other modalities particularly in ACS patients as they often undergo CT examination before aortic dissection detection before PCI in ACS patients [15,16].…”

Section: Discussionmentioning

confidence: 99%

Association between the Angle of the Left Subclavian Artery and Procedural Time for Percutenous Coronary Intervention in Acute Coronary Syndrome Patients

Solangi¹,

Nasrullah²,

Jamil³

et al. 2022

PJMHS

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Background and Aim: Patients with acute coronary syndrome who receive radial access by percutaneous coronary intervention (PCI) are less likely to experience clinical adverse events. The present study aimed to associate the PCI procedural time with left subclavian artery angle in acute coronary syndrome patients. Material and Methods: This retrospective study was carried out on 124 consecutive patients who underwent percutaneous coronary intervention in Punjab Institute of Cardiology, Lahore from June 2021 to June 2022. Prior to study conduction, the ethical committee approved the study protocol. After a CT scan on admission, patients with PCI via an LRA were included in this study. The angle of left subclavian artery was measured on CT scan through coronal view as an indicator for tortuosity and was related with procedural time and clinical variables. SPSS version 26 was used for data analysis. Results: Of the total 124 consecutive patients who underwent PCI, the left radial approach was used in 60 (48.4%) acute coronary syndrome patients. The overall mean age was 64.8±12.6 years. There were 37 (29.8%) females and 87 (70.2%) males. Severe tortuosity patients (left subclavian artery angle <70 degree) had higher incidence of female gender (41.6% vs. 14.2%, p<0.001), older age (73.8±9.87 vs. 59.6±14.2 years, P<0.005), higher subclavian artery calcification (72.6% vs. 32.8%, P=0.001), and hypertension (92.6% vs. 74.8%, P<0.01) than those with angle of left subclavian artery ≥70 degrees. Total procedural time (ρ=-0.29, P=0.003), and sheath cannulation to first balloon time (ρ=-0.48, P<0.001) were negatively associated with left subclavian artery angle. Conclusion: The present study found that Left subclavian artery lower angles are indicators of tortuosity via left radial approach significantly associated with total procedural time and sheath insertion long duration to the first balloon time during percutaneous coronary intervention. Keywords: Acute coronary syndrome, Percutaneous coronary intervention, left radial access

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“…PCI is a relatively safe procedure, with a reported overall in-hospital mortality rate of 1–2% [ 159 ]. The risk of complications increases with increasing patient morbidity, with an incidence of technical difficulties and periprocedural complications 2.2 times higher than in the average population [ 160 ]. The Mayo clinic risk score (MCRS) and New York State risk score (NYSRS) were developed to predict in-hospital and 30-day mortality in patients undergoing PCI.…”

Section: Artificial Intelligence-based Post-procedures Risk Predictio...mentioning

confidence: 99%

Current and Future Applications of Artificial Intelligence in Coronary Artery Disease

et al. 2022

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Cardiovascular diseases (CVDs) carry significant morbidity and mortality and are associated with substantial economic burden on healthcare systems around the world. Coronary artery disease, as one disease entity under the CVDs umbrella, had a prevalence of 7.2% among adults in the United States and incurred a financial burden of 360 billion US dollars in the years 2016–2017. The introduction of artificial intelligence (AI) and machine learning over the last two decades has unlocked new dimensions in the field of cardiovascular medicine. From automatic interpretations of heart rhythm disorders via smartwatches, to assisting in complex decision-making, AI has quickly expanded its realms in medicine and has demonstrated itself as a promising tool in helping clinicians guide treatment decisions. Understanding complex genetic interactions and developing clinical risk prediction models, advanced cardiac imaging, and improving mortality outcomes are just a few areas where AI has been applied in the domain of coronary artery disease. Through this review, we sought to summarize the advances in AI relating to coronary artery disease, current limitations, and future perspectives.

show abstract

Prevalence, Trends, and Outcomes of Higher-Risk Percutaneous Coronary Interventions Among Patients Without Acute Coronary Syndromes

Cited by 14 publications

References 10 publications

How Many Operators Are Optimal for Higher‐Risk Percutaneous Coronary Intervention Procedures?

How Many Operators Are Optimal for Higher‐Risk Percutaneous Coronary Intervention Procedures?

Association between the Angle of the Left Subclavian Artery and Procedural Time for Percutenous Coronary Intervention in Acute Coronary Syndrome Patients

Current and Future Applications of Artificial Intelligence in Coronary Artery Disease

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