McCune Albright Syndrome: A Diagnosis to be Kept in Mind

Precocious puberty, defined as the development of secondary sexual characteristics before the age of 8, often leads to anxiety in patients and their families but also in clinicians searching for the final diagnosis. After adequate investigation, the majority of the cases in girls turn out to be idiopathic. The authors present a case of McCune Albright syndrome in order to call attention to a rare cause of sexual precocity and the value of ultrasound in the evaluation of these situations. 10 years old infant girl admitted in our department due to irregular menstrual bleeding. She experienced a vaginal bleeding by the age of 3 which led to the diagnosis of McCune Albright Syndrome after a complete evaluation. Pubertal assessment revealed a reversed sequence in the remaining events with adrenarche at 5 and thelarche at 8. Hormonal evaluation demonstrated low FSH and LH levels (11,2 and 6,72 respectively) with high estrogen (204). Pelvic ultrasound showed a normal sized uterus (73x 29x32 mm), endometrial thickness of 5 mm and ovaries with several microfollicles and a copus luteum measuring 23 mm in the right ovary. McCune Albright syndrome is a very uncommon cause of sexual precocity that should, however, be suspected in all infant girls who present with vaginal bleeding. It is characterized by a triad: polyostotic fibrous dysplasia, gonadotropin-independent precocious puberty and café-au-lait skin spots. Due to autonomous production of estrogen by the ovaries, ultrasound image of the female reproductive tract is inconsistent with chronologic age. Pelvic ultrasound demonstrates a normal sized uterus with a well defined cervix and clearly identified ovaries with several follicles, similar to adult women of reproductive age. Ultrasonography of the pelvis has also an important role excluding other causes of GnRH-independent precocious puberty conditions like ovarian cysts or tumors.

Tamoxifeno e Espessamento Endometrial Assintomático

Tamoxifen is a first-line agent for adjuvant treatment of estrogen-receptor positive breast cancer, and is used to reduce the risk of this condition in high-risk individuals. Retrospective studies established an association between tamoxifen use, endometrial thickness and endometrial cancer. There have been many attempts to identify an effective screening program for tamoxifen-related endometrial cancer, which have led to the use of transvaginal ultrasound and invasive procedures. The use of a 5mm endometrial cut-off in vaginal ultrasound is known to raise the number of endometrial biopsies with no gain in early cancer diagnosis. A review of the scientific literature was performed in order to establish the best available evidence for endometrial evaluation of asymptomatic breast cancer patients on tamoxifen.

Optimal Cut-Off Value for Homeostasis Model Assessment (HOMA) Index of Insulin-Resistance in a Population of Patients Admitted Electively in a Portuguese Cardiology Ward

INTRODUCTION: Insulin resistance is the pathophysiological key to explain metabolic syndrome. Although clearly useful, the Homeostasis Model Assessment index (an insulin resistance measurement) hasn't been systematically applied in clinical practice. One of the main reasons is the discrepancy in cut-off values reported in different populations. We sought to evaluate in a Portuguese population the ideal cut-off for Homeostasis Model Assessment index and assess its relationship with metabolic syndrome. MATERIAL AND METHODS: We selected a cohort of individuals admitted electively in a Cardiology ward with a BMI < 25 Kg/m2 and no abnormalities in glucose metabolism (fasting plasma glucose < 100 mg/dL and no diabetes). The 90th percentile of the Homeostasis Model Assessment index distribution was used to obtain the ideal cut-off for insulin resistance. We also selected a validation cohort of 300 individuals (no exclusion criteria applied). RESULTS: From 7 000 individuals, and after the exclusion criteria, there were left 1 784 individuals. The 90th percentile for Homeostasis Model Assessment index was 2.33. In the validation cohort, applying that cut-off, we have 49.3% of individuals with insulin resistance. However, only 69.9% of the metabolic syndrome patients had insulin resistance according to that cut-off. By ROC curve analysis, the ideal cut-off for metabolic syndrome is 2.41. Homeostasis Model Assessment index correlated with BMI (r = 0.371, p < 0.001) and is an independent predictor of the presence of metabolic syndrome (OR 19.4, 95% CI 6.6 - 57.2, p < 0.001). DISCUSSION: Our study showed that in a Portuguese population of patients admitted electively in a Cardiology ward, 2.33 is the Homeostasis Model Assessment index cut-off for insulin resistance and 2.41 for metabolic syndrome. CONCLUSION: Homeostasis Model Assessment index is directly correlated with BMI and is an independent predictor of metabolic syndrome.

Predição de Pré-Eclâmpsia no Primeiro Trimestre em Gravidezes de Baixo Risco: Determinação do Cut-Off numa Amostra da População Portuguesa

Objective:We aimed to identify the cut-off for risk of pre-eclampsia (PE) in Portuguese population by applying the first trimester prediction model from Fetal Medicine Foundation (FMF) in a prospective enrolled cohort of low risk pregnant women. Population and methods: A prospective cohort of low risk singleton pregnancies underwent routine first-trimester scree - ning from 2011 through 2013. Maternal characteristics, blood pressure, uterine artery Doppler, levels of pregnancy-associated plasma protein-A (PAPP-A) and free b-human chorionic gonadotropin were evaluated. The prediction of PE in first trimester was calculated through software Astraia, the outcome obtained from medical records and the cutoff value was subse quently calculated. Results:Of the 273 enrolled patients, 7 (2.6%) developed PE. In first trimester women who developed PE presented higher uterine arteries resistance, represented by higher values of lowest and mean uterine pulsatility index, p <0.005. There was no statistical significance among the remaining maternal characteristics, body mass index, blood pressure and PAPP-A. Using the FMF first trimester PE algorithm, an ideal cut-off of 0.045 (1/22) would correctly detect 71% women who developed PE for a 12% false positive rate and a likelihood ratio of 12.98 (area under the curve: 0.69; confidence interval 95%: 0.39-0.99). By applying the reported cutoff to our cohort, we would obtain 71.4% true positives, 88.3% true negatives, 11.4% false positives and 28.6% false negatives. Conclusion: By applying a first trimester PE prediction model to low risk pregnancies derived from a Portuguese population, a significant proportion of patients would have been predicted as high risk. New larger studies are required to confirm the present findings.