TY - JOUR
T1 - Management of Percutaneous Coronary Intervention Complications
T2 - Algorithms from the 2018 and 2019 Seattle Percutaneous Coronary Intervention Complications Conference
AU - Doll, Jacob A.
AU - Hira, Ravi S.
AU - Kearney, Kathleen E.
AU - Kandzari, David E.
AU - Riley, Robert F.
AU - Marso, Steven P.
AU - Grantham, James A.
AU - Thompson, Craig A.
AU - McCabe, James M.
AU - Karmpaliotis, Dimitrios
AU - Kirtane, Ajay J.
AU - Lombardi, William
N1 - Publisher Copyright:
© 2020 Lippincott Williams and Wilkins. All rights reserved.
PY - 2020/6/1
Y1 - 2020/6/1
N2 - Complications of percutaneous coronary intervention (PCI) may have significant impact on patient survival and healthcare costs. PCI procedural complexity and patient risk are increasing, and operators must be prepared to recognize and treat complications, such as perforations, dissections, hemodynamic collapse, no-reflow, and entrapped equipment. Unfortunately, few resources exist to train operators in PCI complication management. Uncertainty regarding complication management could contribute to the undertreatment of patients with high-complexity coronary disease. We, therefore, coordinated the Learning From Complications: How to Be a Better Interventionalist courses to disseminate the collective experience of high-volume PCI operators with extensive experience in chronic total occlusion and high-risk PCI. From these conferences in 2018 and 2019, we developed algorithms that emphasize early recognition, effective treatment, and team-based care of PCI complications. We think that an algorithmic approach will result in a logical and systematic response to life-threatening complications. This construct may be useful for operators who plan to perform complex PCI procedures.
AB - Complications of percutaneous coronary intervention (PCI) may have significant impact on patient survival and healthcare costs. PCI procedural complexity and patient risk are increasing, and operators must be prepared to recognize and treat complications, such as perforations, dissections, hemodynamic collapse, no-reflow, and entrapped equipment. Unfortunately, few resources exist to train operators in PCI complication management. Uncertainty regarding complication management could contribute to the undertreatment of patients with high-complexity coronary disease. We, therefore, coordinated the Learning From Complications: How to Be a Better Interventionalist courses to disseminate the collective experience of high-volume PCI operators with extensive experience in chronic total occlusion and high-risk PCI. From these conferences in 2018 and 2019, we developed algorithms that emphasize early recognition, effective treatment, and team-based care of PCI complications. We think that an algorithmic approach will result in a logical and systematic response to life-threatening complications. This construct may be useful for operators who plan to perform complex PCI procedures.
KW - Algorithms
KW - hemodynamics
KW - percutaneous coronary intervention
KW - risk
UR - http://www.scopus.com/inward/record.url?scp=85086355623&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086355623&partnerID=8YFLogxK
U2 - 10.1161/CIRCINTERVENTIONS.120.008962
DO - 10.1161/CIRCINTERVENTIONS.120.008962
M3 - Article
C2 - 32527193
AN - SCOPUS:85086355623
SN - 1941-7640
VL - 13
JO - Circulation: Cardiovascular Interventions
JF - Circulation: Cardiovascular Interventions
IS - 6
ER -