Objective: To evaluate the influence of maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on blood glucose levels at diagnosis of gestational diabetes mellitus (GDM) and obstetric/neonatal outcomes. Subjects and methods: Retrospective cohort study including 462 women with GDM and singleton pregnancy delivered in our institution between January 2015 and June 2018 and grouped according to BMI/GWG. Results: The diagnosis of GDM was more likely to be established in the 1 st trimester (T) in women with obesity than in normal-weight (55.8% vs 53.7%, p = 0.008). BMI positively and significantly correlated with fasting plasma glucose (FPG) levels in the 1 st T (rs = 0.213, p = 0.001) and 2 nd T (rs = 0.210, p = 0.001). Excessive GWG occurred in 44.9% women with overweight and in 40.2% with obesity (p < 0.001). From women with obesity, 65.1% required pharmacological treatment (p < 0.001). Gestational hypertension (GH) was more frequent in women with obesity (p = 0.016). During follow-up, 132 cesareans were performed, the majority in mothers with obesity (p = 0.008). Of the 17 large-for-gestational-age (LGA) birthweight delivered, respectively 6 and 9 were offsprings of women with overweight and obesity (p = 0.019). Maternal BMI had a predictive value only for macrosomia ), p = 0.041]. BMI and GWG positively correlated with birthweight (rs = 0.132, p = 0.005; rs = 0.188, p = 0.005). Conclusion: Maternal obesity is related with a major probability of diagnosis of GDM in 1 st T, fasting hyperglycemia in 2 nd T and a more frequent need for pharmacological therapy. Pre-gestational obesity is associated with GH, cesarean delivery and fetal macrosomia.

Thyroid cancer’s incidence has increased in the last decades, and its diagnosis can be a challenge. Further and complementary testing based in biochemical alterations may be important to correctly identify thyroid cancer and prevent unnecessary surgery. Fourier-transform infrared (FTIR) spectroscopy is a metabolomic technique that has already shown promising results in cancer metabolome analysis of neoplastic thyroid tissue, in the identification and classification of prostate tumor tissues and of breast carcinoma, among others. This work aims to gather and discuss published information on the ability of FTIR spectroscopy to be used in metabolomic studies of the thyroid, including discriminating between benign and malignant thyroid samples and grading and classifying different types of thyroid tumors.

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Objectives:The aim of this study is to develop and validate a novel clinical report form in the format of a structured interview to enable the characterization of the Portuguese population of the Baixo Vouga region with different subtypes of nodular thyroid pathologies (NTyPs). Materials and methods: A structured interview was developed and to the best of our knowledge, this is the first structured interview built and validated for that purpose in Portugal. Results: This structured interview enables the identification of possible correlations between each subtype of nodular lesions and sociodemographic data, consumption habits and lifestyle, endocrine history, and family predisposition. Conclusion: The novel structured interview will simultaneously, enable a detailed characterization of the group of patients with nodular thyroid lesions and will support future metabolomic studies.

Giant parathyroid adenomas (GPA) are a benign cause of primary hyperparathyroidism (PHPT) that might present similarly to parathyroid carcinomas (PC). Rarely, PHPT can present with a parathyroid crisis, a lifethreatening decompensation with severe hypercalcemia.A 77-year-old woman presented with lethargy and muscle weakness. Investigation revealed parathyroid hormone-dependent hypercalcemia and an enlarged parathyroid measuring 31x24 mm. The patient was submitted for parathyroidectomy. Histology showed no evidence of malignancy, confirming a GPA.We report a GPA presenting with a parathyroid crisis. The clinical picture mimicked that of a PC. There are no clinical, analytical, or imagiological features pathognomonic of PC.