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Full-Text Articles in Surgical Procedures, Operative
Development And Validation Of A Preprocedural Risk Score To Predict Access Site Complications After Peripheral Vascular Interventions Based On The Vascular Quality Initiative Database, Daniel Ortiz, Maharaj Singh, Arshad Jahangir, Suhail Allaqaband, Anjan Gupta, Tanvir Bajwa, Mark W. Mewissen
Development And Validation Of A Preprocedural Risk Score To Predict Access Site Complications After Peripheral Vascular Interventions Based On The Vascular Quality Initiative Database, Daniel Ortiz, Maharaj Singh, Arshad Jahangir, Suhail Allaqaband, Anjan Gupta, Tanvir Bajwa, Mark W. Mewissen
Maharaj Singh
Purpose
Access site complications following peripheral vascular intervention (PVI) are associated with prolonged hospitalization and increased mortality. Prediction of access site complication risk may optimize PVI care; however, there is no tool designed for this. We aimed to create a clinical scoring tool to stratify patients according to their risk of developing access site complications after PVI.
Methods
The Society for Vascular Surgery’s Vascular Quality Initiative database yielded 27,997 patients who had undergone PVI at 131 North American centers. Clinically and statistically significant preprocedural risk factors associated with in-hospital, post-PVI access site complications were included in a multivariate logistic regression …
Development And Validation Of A Preprocedural Risk Score To Predict Access Site Complications After Peripheral Vascular Interventions Based On The Vascular Quality Initiative Database, Daniel Ortiz, Maharaj Singh, Arshad Jahangir, Suhail Allaqaband, Anjan Gupta, Tanvir Bajwa, Mark W. Mewissen
Development And Validation Of A Preprocedural Risk Score To Predict Access Site Complications After Peripheral Vascular Interventions Based On The Vascular Quality Initiative Database, Daniel Ortiz, Maharaj Singh, Arshad Jahangir, Suhail Allaqaband, Anjan Gupta, Tanvir Bajwa, Mark W. Mewissen
Arshad Jahangir, MD
Purpose
Access site complications following peripheral vascular intervention (PVI) are associated with prolonged hospitalization and increased mortality. Prediction of access site complication risk may optimize PVI care; however, there is no tool designed for this. We aimed to create a clinical scoring tool to stratify patients according to their risk of developing access site complications after PVI.
Methods
The Society for Vascular Surgery’s Vascular Quality Initiative database yielded 27,997 patients who had undergone PVI at 131 North American centers. Clinically and statistically significant preprocedural risk factors associated with in-hospital, post-PVI access site complications were included in a multivariate logistic regression …
Development And Validation Of A Preprocedural Risk Score To Predict Access Site Complications After Peripheral Vascular Interventions Based On The Vascular Quality Initiative Database, Daniel Ortiz, Maharaj Singh, Arshad Jahangir, Suhail Allaqaband, Anjan Gupta, Tanvir Bajwa, Mark W. Mewissen
Development And Validation Of A Preprocedural Risk Score To Predict Access Site Complications After Peripheral Vascular Interventions Based On The Vascular Quality Initiative Database, Daniel Ortiz, Maharaj Singh, Arshad Jahangir, Suhail Allaqaband, Anjan Gupta, Tanvir Bajwa, Mark W. Mewissen
Journal of Patient-Centered Research and Reviews
Purpose
Access site complications following peripheral vascular intervention (PVI) are associated with prolonged hospitalization and increased mortality. Prediction of access site complication risk may optimize PVI care; however, there is no tool designed for this. We aimed to create a clinical scoring tool to stratify patients according to their risk of developing access site complications after PVI.
Methods
The Society for Vascular Surgery’s Vascular Quality Initiative database yielded 27,997 patients who had undergone PVI at 131 North American centers. Clinically and statistically significant preprocedural risk factors associated with in-hospital, post-PVI access site complications were included in a multivariate logistic regression …