Management and outcomes in secondary diabetes among pediatric patients hospitalized with hemophagocytic lymphohistiocytosis.

Objectives: Hemophagocytic lymphohistiocytosis (HLH) is a life-threatening disorder marked by massive cytokine release from macrophage and T-cell activation. Hallmarks include fever, splenomegaly, cytopenias, hypertriglyceridemia, hypofibrinogemia, and elevations in ferritin and soluble IL-2 receptor. Given the association of HLH with inflammation and glucocorticoid therapy, the development of hyperglycemia is not unexpected.

An "All-Data-on-Hand" Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study.

Background: Although prior research has identified multiple risk factors for diabetic ketoacidosis (DKA), clinicians continue to lack clinic-ready models to predict dangerous and costly episodes of DKA. We asked whether we could apply deep learning, specifically the use of a long short-term memory (LSTM) model, to accurately predict the 180-day risk of DKA-related hospitalization for youth with type 1 diabetes (T1D).

Objective: We aimed to describe the development of an LSTM model to predict the 180-day risk of DKA-related hospitalization for youth with T1D.

Gender diversity in adolescents with polycystic ovary syndrome.

Objectives: The objective of our study was to describe the prevalence of gender diverse (GD) youth  among adolescents with polycystic ovary syndrome (PCOS).

Methods: We conducted a retrospective chart review on patients who met NIH criteria for PCOS in our Multidisciplinary Adolescent PCOS Program (MAPP). We compared those with PCOS to MAPP patients who did not meet PCOS criteria as well as to non-PCOS patients from the Adolescent Specialty Clinic (ASC).