Assessing the role of chest CT in minor blunt trauma: evaluation of the NEXUS decision instrument across an expanded population.

Objective: To evaluate the NEXUS Chest CT ALL decision instrument (DI) in reducing unnecessary chest CT imaging in minor blunt trauma patients while preserving high sensitivity for detecting clinically meaningful injuries. Additionally, we examined the impact of delayed presentation, chronic disease, and anticoagulation/anti-aggregation medications on trauma outcomes.

Methods: This retrospective study included 853 adult minor blunt trauma patients who underwent chest CT in the emergency department (ED) of Tel-Aviv Sourasky Medical Center between 2018 and 2022.

Management of infants presenting with fever: a review of pan-London hospital guidelines and national guidelines.

Febrile infants often have self-limiting conditions. Differentiating them from infants with serious bacterial infections can be challenging. We aimed to understand how febrile infants are managed across London, by analysing the management steps from local clinical practical guidelines (CPGs) and comparing them to the national guideline 143 (NG143).

Surgical Morbidity following Planned Hysterectomy versus Conservative Management for Placenta Accreta Spectrum: A Systematic Review and Meta-analysis.

Objective:  In recent years, the management of placenta accreta spectrum (PAS) has fallen into two categories: planned hysterectomy and conservative management to preserve fertility. However, optimal management remains unclear. Therefore, we conducted a systematic review and meta-analysis comparing the two to evaluate which approach was associated with lower surgical morbidity.

Machine Learning for the Prediction of Surgical Morbidity in Placenta Accreta Spectrum.

Objective:  We sought to create a machine learning (ML) model to identify variables that would aid in the prediction of surgical morbidity in cases of placenta accreta spectrum (PAS).

Study Design:  A multicenter analysis including all cases of PAS identified by pathology specimen confirmation, across five tertiary care perinatal centers in New York City from 2013 to 2022. We developed models to predict operative morbidity using 213 variables including demographics, obstetrical information, and limited prenatal imaging findings detailing placental location.