Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2024;46:e-rbgo39i
This study aims to create a new screening for preterm birth < 34 weeks after gestation with a cervical length (CL) ≤ 30 mm, based on clinical, demographic, and sonographic characteristics.
This is a post hoc analysis of a randomized clinical trial (RCT), which included pregnancies, in middle-gestation, screened with transvaginal ultrasound. After observing inclusion criteria, the patient was invited to compare pessary plus progesterone (PP) versus progesterone only (P) (1:1). The objective was to determine which variables were associated with severe preterm birth using logistic regression (LR). The area under the curve (AUC), sensitivity, specificity, and positive predictive value (PPV) and negative predictive value (NPV) were calculated for both groups after applying LR, with a false positive rate (FPR) set at 10%.
The RCT included 936 patients, 475 in PP and 461 in P. The LR selected: ethnics white, absence of previous curettage, previous preterm birth, singleton gestation, precocious identification of short cervix, CL < 14.7 mm, CL in curve > 21.0 mm. The AUC (CI95%), sensitivity, specificity, PPV, and PNV, with 10% of FPR, were respectively 0.978 (0.961-0.995), 83.4%, 98.1%, 83.4% and 98.1% for PP < 34 weeks; and 0.765 (0.665-0.864), 38.7%, 92.1%, 26.1% and 95.4%, for P < 28 weeks.
Logistic regression can be effective to screen preterm birth < 34 weeks in patients in the PP Group and all pregnancies with CL ≤ 30 mm.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2008;30(10):486-493
DOI 10.1590/S0100-72032008001000002
PURPOSE: to investigate factors accountable for macrosomia incidence in a study with mothers and progeny attended at a Basic Unity of Health in Rio de Janeiro, Brazil. METHODS: a prospective study, with 195 pairs of mothers and progeny, in which the dependent variable was macrosomia (weight at delivery >4,000 g - independent of the gestational age or of other demographic variables), and socioeconomic, previous pregnancies/gestation course, biochemical, behavioral and anthropometric, the independent variables. Statistical analysis has been done by multiple logistic regression. Relative risk (RR) values have been estimated, based on the simple form: RR=OR/ (1 - I0) + (I0 versus OR), in which I0 is the macrosomia incidence in non-exposed people. RESULTS: Macrosomia incidence was 6.7%, the highest value being found in the progeny of women >30 years old (12.8%), white (10.4%), with two or more children (16.7%), with male newborns (9.6%), with height >1,6 m (12.5%), with overweight or obesity as a nutritional pre-gestational state (13.6%), and with excessive gestational gain of weight (12.7%). The final model has shown that having two or more children (RR=3.7; CI95%=1.1-9.9), and having a male newborn (RR=7.5; CI95%=1.0-37.6) were the variables linked to the macrosomia occurrence. CONCLUSIONS: macrosomia incidence was higher than the one observed in Brazil as a whole, but inferior to the one reported in studies from developed countries. Having two or more children and a newborn male were the factors accountable for the occurrence of macrosomia.
Summary
Revista Brasileira de Ginecologia e Obstetrícia. 2007;29(12):625-632
DOI 10.1590/S0100-72032007001200005
PURPOSE: to analyze which characteristics proposed by the BIRADS lexicon for ultrasound have the greatest impact on distinguishing between benign and malignant lesions. METHODS: ultrasonography features from the third edition of the BIRADS were studied in 384 nodes submitted to percutaneous biopsy from February 2003 to December 2006, at the Medical School of Botucatu. For the ultrasonography, the equipment Logic 5 with a 7.5-12 MHz multifrequential linear transducer was used. The ultrasonography analysis of the node considered the features proposed by the BIRADS lexicon for ultrasound. The data were submitted to statistical analysis by the logistic regression model. RESULTS: the benign lesions represented 42.4% and the malignant, 57.6%. The logistic regression analysis found an odds ratio (OR) for cancer of 7.69 times when the surrounding tissue was altered, of 6.25 times when there were microcalcifications in the lesions interior, of 1.95 when the acoustic effect is shadowing, of 25.0 times when there was the echogenic halo, and of 7.14 times when the orientation was non-parallel. CONCLUSIONS: among the features studied, the lesion limit, represented by the presence or not of the halogenic halo, is the most important differentiator of the benign from the malignant masses.