Baseline HbA1c to Identify High-Risk Gestational Diabetes: Utility in Early vs Standard Gestational Diabetes.

Context: The increasing prevalence of gestational diabetes mellitus (GDM) necessitates risk stratification directing limited antenatal resources to those at greatest risk. Recent evidence demonstrates that an early pregnancy glycated hemoglobin (HbA1c ≥5.9% (41 mmol/mol) predicts adverse pregnancy outcomes.

HE4, CA125, the Risk of Malignancy Algorithm and the Risk of Malignancy Index and complex pelvic masses - a prospective comparison in the pre-operative evaluation of pelvic masses in an Australian population.

Background: Human epididymis protein 4 (HE4) has been proposed as a novel biomarker for the diagnosis of epithelial ovarian cancer. Using HE4 and CA125, the risk of malignancy algorithm (ROMA) has been shown to be effective in the stratification of epithelial ovarian cancer risk.

Aims: To determine the effectiveness of HE4 and ROMA in the diagnosis of malignancy of women presenting with a complex pelvic mass in an Australian population and to compare it with CA125 and the risk of malignancy index (RMI).

Inhibin B levels in hypothyroid males.

Background: The primary role of inhibin B is the regulation of gametogenesis via negative feedback on the production of follicle stimulating hormone (FSH) by the pituitary.

Methods: We studied 14 males with primary hypothyroidism due to various etiologies to determine if they exhibited hypogonadotrophic hypogonadism involving the reproductive segment of the gonadotrophic axis. Levels of inhibin B, FSH, luteinizing hormone, testosterone, free thyroxine, and thyrotropin were measured.

Can common clinical parameters be used to identify patients who will need insulin treatment in gestational diabetes mellitus?

Objective: To identify patients with gestational diabetes mellitus (GDM) who will need antenatal insulin treatment (AIT) by using a risk-prediction tool based on maternal clinical and biochemical characteristics at diagnosis.

Research Design And Methods: Data from 3,009 women attending the Royal Prince Alfred Hospital GDM Clinic, Australia, between 1995 and 2010 were studied. A risk engine was developed from significant factors identified for AIT using a logistic regression model.