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.

Use of natural language processing to uncover racial bias in obstetrical documentation.

Natural Language Processing (NLP), a form of Artificial Intelligence, allows free-text based clinical documentation to be integrated in ways that facilitate data analysis, data interpretation and formation of individualized medical and obstetrical care. In this cross-sectional study, we identified all births during the study period carrying the radiology-confirmed diagnosis of fibroid uterus in pregnancy (defined as size of largest diameter of >5 cm) by using an NLP platform and compared it to non-NLP derived data using ICD10 codes of the same diagnosis. We then compared the two sets of data and stratified documentation gaps by race.