A Machine Learning Prediction Model for Total Shoulder Arthroplasty Procedure Duration - An Evaluation of Surgeon, Patient, And Shoulder-Specific Factors.

Background: Operating room (OR) efficiency is of paramount importance for scheduling, cost efficiency and to allow for the high operating volume required to address the growing demand for arthroplasty. The purpose of this study was to develop a machine learning predictive model for Total Shoulder Arthroplasty (TSA) procedure duration and to identify factors which are predictive of a prolonged procedure.

Methods: A retrospective review was undertaken of all TSA between 2013-2021 in a large academic institution.

Social Vulnerability Index and Survivorship after Colorectal Cancer Resection.

Background: Race and socioeconomic status incompletely identify patients with colorectal cancer (CRC) at the highest risk for screening, treatment, and mortality disparities. Social vulnerability index (SVI) was designed to delineate neighborhoods requiring greater support after external health stressors, summarizing socioeconomic, household, and transportation barriers by census tract. SVI is implicated in lower cancer center use and increased complications after colectomy, but its influence on long-term prognosis is unknown.

Evaluation of the diagnostic utility of metagenomic next-generation sequencing testing for pathogen identification in infected hosts: a retrospective cohort study.

Background: Metagenomic next-generation sequencing (mNGS) testing identifies thousands of potential pathogens in a single blood test, though data on its real-world diagnostic utility are lacking.

Objectives: Determine the diagnostic utility of mNGS testing in practice and factors associated with high clinical utility.

Design: Retrospective cohort study of mNGS tests ordered from June 2018 through May 2020 at a community teaching hospital.

Defining the Need for Causal Inference to Understand the Impact of Social Determinants of Health: A Primer on Behalf of the Consortium for the Holistic Assessment of Risk in Transplantation (CHART).

Objective: This study aims to introduce key concepts and methods that inform the design of studies that seek to quantify the causal effect of social determinants of health (SDOH) on access to and outcomes following organ transplant.

Background: The causal pathways between SDOH and transplant outcomes are poorly understood. This is partially due to the unstandardized and incomplete capture of the complex interactions between patients, their neighborhood environments, the tertiary care system, and structural factors that impact access and outcomes.