Strategies to reduce the caesarean section rate in a private hospital and their impact.

There is a concern around the world of an increasing caesarean section rate. It was estimated that between 2010 and 2015, caesarean section rates increased by almost 50%. There are several implications for this, considering that caesarean sections are associated with higher costs and worse clinical outcomes. In this context, several interventions have been considered to increase vaginal delivery rates, including the Adequate Childbirth Project (PPA) in Brazil. This study aimed to verify the impact of the strategies adopted internally in the Hospital Israelita Albert Einstein (HIAE) located in São Paulo, Brazil, regarding the reduction of caesarean sections and their perinatal results. Actions to support our study were implemented in two phases based on the PPA schedule. These actions involved three axes: a multidisciplinary team, pregnant women and facility improvements. All pregnant women admitted for childbirth at the HIAE between 2014 and 2019 were included in this study. The overall rate of vaginal delivery in this study population and among primiparous women and the percentage of admissions to the neonatal intensive care unit (NICU) were analysed in three periods: before the implementation of PPA actions (period A), after the first phase of the project (period B) and after its second phase (period C). The results showed an increase in the average vaginal delivery rate from 23.57% in period A to 27.88% in period B, and to 30.06% in period C (AxB, p<0.001; BxC, p=0.004). There was a decrease in the average of NICU admissions over the periods (period A 19.22%, period B 18.71% and period C 13.22%); a significant reduction was observed when periods B and C (p<0.001) were compared.

Hormonal, metabolic and inflammatory circulating biomarker profiles in obese and non-obese Brazilian middle-aged women.

AIM: To investigate circulating hormonal, metabolic and inflammatory biomarker profiles in obese and non-obese middle-aged women. METHODS: A total of 110 women, aged 40-60 years, were included in this cross-sectional study. Patients were allocated, according to the occurrence of menopause and body mass index (BMI), into four groups: PM0 (premenopausal non-obese), PM1 (premenopausal obese), M0 (postmenopausal non-obese), and M1 (postmenopausal obese). Serum levels of gonadotropins, sex hormones, lipid markers, leptin, hs-CRP and interleukin-6 were obtained using either colorimetric or immunoenzymatic assays. Univariate and correlation analyses were performed among all clinical and laboratorial parameters. Principal component analysis was used to characterize subsets of biomarkers, which had their discriminatory capacity tested using discriminant function analysis. RESULTS: Levels of gonadotropins and female sex hormones were similar between PM0 and PM1 and between M0 and M1 (p > 0.05), all of them varied between PM0 and M0 (p < 0.05), but only estradiol was significantly altered in the comparison between PM1 and M1 (p = 0.027). Regarding metabolic markers, leptin was lower in PM0 than in M0 (p = 0.010) and higher in M1 than in M0 (p = 0.046). In premenopausal women, BMI correlated only to leptin, while it correlated to several other markers in postmenopausal women. A combination of FSH and leptin serum levels significantly discriminated the four groups (Wilks's lambda < 0.001, in canonical functions 1 and 2). CONCLUSION: A combined analysis of hormonal biomarkers may potentially distinguish obese from non-obese women with distinct menopause status. Further research is thus required to clarify the clinical significance of such findings.