RESUMO
The identification of insulin resistance and hyperinsulinemia in polycystic ovary syndrome (PCOS) is not a minor issue. The homeostasis model assessment of insulin resistance index (HOMA) is the most used index of IR (Insulin Resistance), validated in overweight and obese patients but not in normal-weight PCOS subjects, who can still present with increased insulin secretion by an oral glucose tolerance test (OGTT). The evaluation of insulin secretion and resistance represents a still unresolved problem. The aim of this study is to identify a possible yet noninvasive method to properly evaluate the insulin metabolism in young non-diabetic subjects. Girls aged 14-22 years, afferent to the center of Gynecological Diseases in Childhood and Adolescence of Cagliari (Italy), were screened for PCOS. A total of 42 subjects comprised the study group. Hormonal assays, OGTT, transabdominal (TA) or transvaginal (TV) US, and urine collection for 1H-NMR analysis were assayed in the early follicular phase. A 1H-NMR coupled multivariate statistical analysis was performed. The OPLS model indicated that the NMR profile of urine had a good fit and prediction ability for the AUC OGTT with R2 = 0.813. Metabolomics can be a promising tool to the potential identification of biomarkers of an exaggerated insulin response to OGTT and can encourage substantial progress for a more accurate and early diagnosis in PCOS.
RESUMO
OBJECTIVE: To evaluate the impact of the COVID-19 lockdown on admissions to gynecological emergency departments (ED) of three Italian university hospitals with different rates of COVID-19 incidence. METHODS: A retrospective study was conducted in the gynecological EDs of Modena (Emilia-Romagna), Sassari and Cagliari (Sardinia) regarding all admissions to gynecological EDs during November 1 to 30, 2019, and March 11 to April 9, 2020 (lockdown period). RESULTS: A total of 691 women (mean age 38.3 ± 14.3 years) who were admitted to the gynecological EDs were included. The relative decrease in women evaluated from March 11 to April 9, 2020, was -56.6% (95% confidence interval [CI] 52.2-61.1). Time spent in the ED was also significantly shorter during this period (P=0.02) in comparison to November 1 to 30, 2019. The most evident decrease was observed for pelvic pain (-68.9% [95% CI 60.3-76.7]; -91 cases). The management of women suggests a more effective use of the ED, with higher rates of hospitalization (P=0.001) and recourse to emergent surgeries (P=0.005) and lower rates of discharge to home (P=0.03). CONCLUSION: The COVID-19 lockdown greatly reduced the rate of admission to gynecological EDs, but the real emergencies were filtered from the more deferrable ones.
