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Full-Text Articles in Cardiovascular Diseases
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 Initial Validation Of A Simple Clinical Decision Tool To Predict The Presence Of Heart Failure In Primary Care: The Mice (Male, Infarction, Crepitations, Edema) Rule, Andrea Roalfe, Jonathan Mant, Jenny Doust, Pelham Barton, Martin Cowie, Paul Glasziou, David Mant, Richard Mcmanus, Roger Holder, Jonathon Deeks, Robert Doughty, Arno Hoes, Kate Fletcher, F.D.Richard Hobbs
Development And Initial Validation Of A Simple Clinical Decision Tool To Predict The Presence Of Heart Failure In Primary Care: The Mice (Male, Infarction, Crepitations, Edema) Rule, Andrea Roalfe, Jonathan Mant, Jenny Doust, Pelham Barton, Martin Cowie, Paul Glasziou, David Mant, Richard Mcmanus, Roger Holder, Jonathon Deeks, Robert Doughty, Arno Hoes, Kate Fletcher, F.D.Richard Hobbs
Jenny Doust
Aims: Diagnosis of heart failure in primary care is often inaccurate, and access to and use of echocardiography is suboptimal. This study aimed to develop and provisionally validate a clinical prediction rule to optimize referral for echocardiography of people identified in primary care with suspected heart failure. Methods and results: A systematic review identified studies of diagnosis of heart failure set in primary care. The individual patient data for five of these studies were obtained. Logistic regression models to predict heart failure were developed on one of the data sets and validated on the others using area under the receiver …