The Clinical and Genetic Diversity of Thyroid Hormone Resistance: Four Clinical Vignettes.

Introduction: Resistance to thyroid hormones (RTH) is a rare but important genetic cause of decreased peripheral tissue responses to the actions of thyroxine. Most RTH cases are caused by mutations in thyroid hormone receptor β (TRβ, THRB), while a few are caused by mutations in thyroid hormone receptor α (TRα, THRA). RTH is clinically heterogeneous, and the biochemical features are often confusing, resulting in misdiagnoses, mismanagement, and life-long consequences for affected individuals.

Alpelisib-Induced Diabetic Ketoacidosis in a Patient With Metastatic Breast Cancer.

We report the case of a 45-year-old woman with metastatic breast cancer who started treatment with alpelisib nine days before developing diabetic ketoacidosis (DKA). At the time of DKA diagnosis, blood tests showed a capillary blood glucose of 30 mmol/L, serum carbon dioxide level of 11 mmol/L, an anion gap of 25 mEq/L, and a glycated hemoglobin A1C (HbA1c) level of 6.4% (50 mmol/mol).

Epidemiology of type 2 diabetes in the Middle East and North Africa: Challenges and call for action.

Type 2 diabetes continues to be a serious and highly prevalent public health problem worldwide. In 2019, the highest prevalence of diabetes in the world at 12.2%, with its associated morbidity and mortality, was found in the Middle East and North Africa region.

Diabetes management in urban African Americans: review of a public hospital experience.

Objective: To review characteristics of an urban (primarily African American) diabetes patient population and discuss experience with treatment strategies, we summarize key retrospective and prospective analyses conducted during 15 years.

Results: Severe socioeconomic and personal barriers to diabetes care were often seen in the population. An atypical presentation of diabetic ketoacidosis was observed and extensively studied.

Use of a glucose algorithm to direct diabetes therapy improves A1C outcomes and defines an approach to assess provider behavior.

Purpose: The purpose of this study was to determine whether an algorithm that recommended individualized changes in therapy would help providers to change therapy appropriately and improve glycemic control in their patients.

Methods: The algorithm recommended specific doses of oral agents and insulin based on a patient's medications and glucose or A1C levels at the time of the visit. The prospective observational study analyzed the effect of the algorithm on treatment decisions and A1C levels in patients with type 2 diabetes.