Development and Validation of a Machine Learning COVID-19 Veteran (COVet) Deterioration Risk Score.

Background And Objective: To develop the COVid Veteran (COVet) score for clinical deterioration in Veterans hospitalized with COVID-19 and further validate this model in both Veteran and non-Veteran samples. No such score has been derived and validated while incorporating a Veteran sample.

Derivation Cohort: Adults (age ≥ 18 yr) hospitalized outside the ICU with a diagnosis of COVID-19 for model development to the Veterans Health Administration (VHA) (n = 80 hospitals).

National Early Warning Score Deployment in a Veterans Affairs Facility: A Quality Improvement Initiative and Analysis.

Early warning scores are algorithms designed to identify clinical deterioration. Current literature is predominantly in non-Veteran populations. Studies in Veterans are lacking.

Patterns of vascular access device use and thrombosis outcomes in patients with COVID-19: a pilot multi-site study of Michigan hospitals.

Venous thromboembolism (VTE) is an important complication of coronavirus disease 2019 (COVID-19). To date, few studies have described vascular access device use and VTE risk in this cohort. To examine the use of vascular access devices and incidence of VTE in patients hospitalized with COVID-19.

High Reliability Organization Principles Improve VA Workplace Burnout: The Truman THRIVE2 Model.

Provider burnout is a significant health care concern. It is unclear whether high reliability organization (HRO) practices can prevent it. The Truman Veterans Affairs Medical Center (VAMC) undertook an initiative implementing HRO principles and assessed for impact on burnout metrics.

To PICC or not to PICC? A cross-sectional survey of vascular access practices in the ICU.

Purpose: Vascular access patterns in the intensive care unit (ICU) have shifted from non-tunneled central venous catheters (CVCs) towards peripherally inserted central catheters (PICCs). We evaluated perceptions of critical care practitioners regarding these devices and variation in evidence-based practice.

Materials: A 35-question survey on ICU vascular access was deployed in 13 Michigan hospitals.

Computer-aided detection-assisted colonoscopy: classification and relevance of false positives.

Background And Aims: False positive (FP) results by computer-aided detection (CADe) hamper the efficiency of colonoscopy by extending examination time. Our aim was to develop a classification of the causes and clinical relevance of CADe FPs, and to assess the relative distribution of FPs in a real-life setting.

Methods: In a post-hoc analysis of a randomized trial comparing colonoscopy with and without CADe (NCT: 04079478), we extracted 40 CADe colonoscopy videos.

Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial.

Background & Aims: One-fourth of colorectal neoplasias are missed during screening colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems allow for real-time computer-aided detection (CADe) of polyps with high accuracy. We performed a multicenter, randomized trial to assess the safety and efficacy of a CADe system in detection of colorectal neoplasias during real-time colonoscopy.

Efficacy of Per-oral Methylene Blue Formulation for Screening Colonoscopy.

Background & Aims: Topically applied methylene blue dye chromoendoscopy is effective in improving detection of colorectal neoplasia. When combined with a pH- and time-dependent multimatrix structure, a per-oral methylene blue formulation (MB-MMX) can be delivered directly to the colorectal mucosa.

Methods: We performed a phase 3 study of 1205 patients scheduled for colorectal cancer screening or surveillance colonoscopies (50-75 years old) at 20 sites in Europe and the United States, from December 2013 through October 2016.