The application of the Ten Group classification system (TGCS) in caesarean delivery case mix adjustment. A multicenter prospective study.

BACKGROUND: Caesarean delivery (CD) rates are commonly used as an indicator of quality in obstetric care and risk adjustment evaluation is recommended to assess inter-institutional variations. The aim of this study was to evaluate whether the Ten Group classification system (TGCS) can be used in case-mix adjustment. METHODS: Standardized data on 15,255 deliveries from 11 different regional centers were prospectively collected. Crude Risk Ratios of CDs were calculated for each center. Two multiple logistic regression models were herein considered by using: Model 1- maternal (age, Body Mass Index), obstetric variables (gestational age, fetal presentation, single or multiple, previous scar, parity, neonatal birth weight) and presence of risk factors; Model 2- TGCS either with or without maternal characteristics and presence of risk factors. Receiver Operating Characteristic (ROC) curves of the multivariate logistic regression analyses were used to assess the diagnostic accuracy of each model. The null hypothesis that Areas under ROC Curve (AUC) were not different from each other was verified with a Chi Square test and post hoc pairwise comparisons by using a Bonferroni correction. RESULTS: Crude evaluation of CD rates showed all centers had significantly higher Risk Ratios than the referent. Both multiple logistic regression models reduced these variations. However the two methods ranked institutions differently: model 1 and model 2 (adjusted for TGCS) identified respectively nine and eight centers with significantly higher CD rates than the referent with slightly different AUCs (0.8758 and 0.8929 respectively). In the adjusted model for TGCS and maternal characteristics/presence of risk factors, three centers had CD rates similar to the referent with the best AUC (0.9024). CONCLUSIONS: The TGCS might be considered as a reliable variable to adjust CD rates. The addition of maternal characteristics and risk factors to TGCS substantially increase the predictive discrimination of the risk adjusted model.

Treatment of asymptomatic bacterial vaginosis to prevent pre-term delivery: a randomised trial.

OBJECTIVES: To evaluate the efficacy of clindamycin vaginal cream 2% once daily for 7 days in prolonging pregnancy. STUDY DESIGN: Randomised clinical trial of 112 women between 14 and 25 weeks of gestation with diagnosis of asymptomatic bacterial vaginosis were enrolled in a multicenter randomised trial and assigned to active or no treatment. A total of 55 women were assigned to clindamycin and 57 to no treatment. MAIN OUTCOME MEASURE: frequency of pre-term delivery. RESULTS: The rates of pre-term delivery was 12.2% in the clindamycin group and 15.7% in the no treatment group (P=0.78). Birth weight was <2500 g in three and seven babies, respectively, in the two groups (P=0.32). Mean gestational ages at birth were 38.9 and 39.2 (P=0.52), respectively, in the clindamycin and no treatment groups. CONCLUSIONS: The results of this study suggest that treating asymptomatic bacterial vaginosis does neither markedly prolong pregnancy nor increase birthweight.