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Impella versus Non-Impella for Non-emergent High-Risk Percutaneous Coronary Intervention: Impella vs. Non-Impella for HR-PCI.
Am J Cardiol
January 2025
Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, DC, USA. Electronic address:
Background: The benefit of mechanical circulatory support (MCS) with Impella (Abiomed, Inc, Danvers, MA) for patients undergoing non-emergent, high-risk percutaneous coronary intervention (HR-PCI) is unclear and currently the subject of a large randomized clinical trial (RCT), PROTECT IV. While contemporary registry data from PROTECT III demonstrated improvement of outcomes with Impella when compared with historical data (PROTECT II), there is lack of direct comparison to the HR-PCI cohort that did not receive Impella support.
Methods: We retrospectively identified patients from our institution meeting PROTECT III inclusion criteria (left ventricular ejection fraction [LVEF] <35% with unprotected left main or last remaining vessel or LVEF <30% undergoing multivessel PCI), and compared this group (NonIMP) to the published outcomes data from the PROTECT III registry (IMP).
United States Pooled Cohort Cardiovascular Disease Risk Scores in Adults With Diabetes Mellitus.
JACC Adv
January 2025
Department of Epidemiology, University of California, Los Angeles, California, USA.
Background: There is significant heterogeneity in cardiovascular disease (CVD) risk among patients with diabetes mellitus (DM).
Objectives: The purpose of this study was to develop risk scores for total CVD and its components from a contemporary pooled, observational cohort of U.S.
Impella Versus Non-Impella for Nonemergent High-Risk Percutaneous Coronary Intervention.
Am J Cardiol
August 2024
Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia. Electronic address:
The benefit of mechanical circulatory support with Impella (Abiomed, Inc., Danvers, Massachusetts) for high-risk percutaneous coronary intervention (HR-PCI) is uncertain. PROTECT III registry data showed improved outcomes with Impella compared with historical data (PROTECT II) but lack a direct comparison with the HR-PCI cohort without Impella support.
View Article and Find Full Text PDFPredicting Incident Adenocarcinoma of the Esophagus or Gastric Cardia Using Machine Learning of Electronic Health Records.
Gastroenterology
December 2023
Veterans Affairs Center for Clinical Management Research, Lieutenant Colonel Charles S. Kettles Veterans Affairs Medical Center, Ann Arbor, Michigan; Division of Gastroenterology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Background & Aims: Tools that can automatically predict incident esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) using electronic health records to guide screening decisions are needed.
Methods: The Veterans Health Administration (VHA) Corporate Data Warehouse was accessed to identify Veterans with 1 or more encounters between 2005 and 2018. Patients diagnosed with EAC (n = 8430) or GCA (n = 2965) were identified in the VHA Central Cancer Registry and compared with 10,256,887 controls.
Establishment and validation of a prognostic nomogram for postoperative patients with gastric cardia adenocarcinoma: A study based on the Surveillance, Epidemiology, and End Results database and a Chinese cohort.
Cancer Med
June 2023
Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Background: Gastric cardia adenocarcinoma (GCA) is a highly fatal form of cancer in humans. The aim of this study was to extract clinicopathological data of postoperative patients with GCA from the Surveillance, Epidemiology, and End Results database, analyze prognostic risk factors, and build a nomogram.
Methods: In this study, the clinical information of 1448 patients with GCA who underwent radical surgery and were diagnosed between 2010 and 2015 was extracted from the SEER database.
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