Publications by authors named "B T Brooke"
Objectives: The Vascular Quality Initiative Frailty Index (VQI-FI) was developed using 7 variables captured in all VQI registries and combined with procedure risk to provide a simple mortality risk assessment tool for preoperative decision making. This study was designed to validate the ability of the VQI-FI within a subgroup population for discriminating long-term mortality risk among Medicare beneficiaries undergoing common elective vascular procedures.
Methods: The VISION VQI-Medicare linked database (2010-19) was used to assess survival among Medicare beneficiaries undergoing elective vascular procedures from 7 arterial VQI registries.
Introduction: Biliary atresia (BA) is the leading cause of childhood liver failure requiring liver transplantation. Early diagnosis and Kasai portoenterostomy (KP) offer the only opportunity to avoid liver failure and transplantation. This study aimed to assess BA healthcare costs in the United States.
View Article and Find Full Text PDFBackground: The approach for open infrarenal Abdominal Aortic Aneurysm (AAA) repair is mainly surgeon driven based on experience and prior training. While the midline Transperitoneal (TP) remain the most common, the Retroperitoneal (RP) approach is usually utilized in more complex cases where suprarenal cross-clamping is necessary. As prior literature is conflicting on optimal outcomes between the two approaches, we aimed to compare RP vs TP outcomes stratified by aortic clamp level.
View Article and Find Full Text PDFPurpose: Patient reported outcome measures (PROMs) are well-suited for the longitudinal assessment of quality of life, including depression and physical limitations associated with peripheral artery disease (PAD) that are not routinely assessed in clinical care. This study was designed to gain the patient perspective to facilitate implementation of PROMs into clinical practice for PAD management.
Methods: Twenty-three patients with PAD at a single vascular surgery clinic were enrolled for a qualitative interview, July-December 2022.
Article Synopsis
- - Peripheral arterial disease (PAD) impacts over 8.5 million Americans and is the top cause of amputations in the U.S., yet there is low awareness among patients and healthcare providers about the condition, highlighting a need for better identification methods.
- - Traditional identification methods, such as keyword search (KWS), are limited by their rigidity and inability to effectively capture undiagnosed PAD cases, making them less effective for varied clinical data.
- - The study explores the use of deep learning (DL) in natural language processing (NLP) to potentially improve the identification of PAD patients through analysis of unstructured clinical notes in electronic health records (EHR), providing a more flexible and accurate approach than KWS.