A Randomized comparative clinical study of two surgical procedures to improve root coverage with the acellular dermal matrix graft

Aim This randomized, controlled, clinical study compared two surgical techniques for root coverage with the acellular dermal matrix graft (ADMG) to evaluate which procedure could provide better root coverage and greater amounts of keratinized tissue. Materials and Methods Fifteen pairs of bilateral Miller Class I or II gingival recessions were treated and assigned randomly to the test group, and the contra-lateral recessions were assigned to the control group. The ADMG was used in both groups. In the control group, the graft and flap were positioned at the level of the cemento-enamel junction (CEJ), and in the test group, the graft was positioned 1 mm apical to the CEJ and the flap 1 mm coronal to the CEJ. The clinical parameters were taken before the surgeries and after 6 months. The gingival recession area, a new parameter, was measured in standardized photographs through a special device and software. Results There were statistically significant differences favouring the proposed technique for all parameters except for the amount of keratinized tissue at 6 months. Conclusions The proposed test technique is more suitable for root coverage procedures with ADMG, and the new parameter evaluated appears valuable for root coverage analysis. (Clinicaltrials.gov Identifier: NCT01175720).

Stochastic simulation of time-series models combined with geostatistics to predict water-table scenarios in a Guarani Aquifer System outcrop area, Brazil

Stochastic methods based on time-series modeling combined with geostatistics can be useful tools to describe the variability of water-table levels in time and space and to account for uncertainty. Monitoring water-level networks can give information about the dynamic of the aquifer domain in both dimensions. Time-series modeling is an elegant way to treat monitoring data without the complexity of physical mechanistic models. Time-series model predictions can be interpolated spatially, with the spatial differences in water-table dynamics determined by the spatial variation in the system properties and the temporal variation driven by the dynamics of the inputs into the system. An integration of stochastic methods is presented, based on time-series modeling and geostatistics as a framework to predict water levels for decision making in groundwater management and land-use planning. The methodology is applied in a case study in a Guarani Aquifer System (GAS) outcrop area located in the southeastern part of Brazil. Communication of results in a clear and understandable form, via simulated scenarios, is discussed as an alternative, when translating scientific knowledge into applications of stochastic hydrogeology in large aquifers with limited monitoring network coverage like the GAS.

Risk factors for inadequate prenatal care use in the metropolitan area of Aracaju, Northeast Brazil

Abstract Background The aim of prenatal care is to promote good maternal and foetal health and to identify risk factors for adverse pregnancy outcomes in an attempt to promptly manage and solve them. Although high prenatal care attendance is reported in most areas in Brazil, perinatal and neonatal mortalities are disproportionally high, raising doubts about the quality and performance of the care provided. The objective of the present study was to evaluate the adequacy of prenatal care use and the risk factors involved in inadequate prenatal care utilization in the metropolitan area of Aracaju, Northeast Brazil. Methods A survey was carried out with puerperal women who delivered singleton liveborns in all four maternity hospitals of Aracaju. A total of 4552 singleton liveborns were studied. The Adequacy of Prenatal Care Utilization Index, modified according to the guidelines of the Prenatal Care and Birth Humanization Programme, was applied. Socioeconomic, demographic, biological, life style and health service factors were evaluated by multiple logistic regression. Results: Prenatal care coverage in Aracaju was high (98.3%), with a mean number of 6.24 visits. Prenatal care was considered to be adequate or intensive in 66.1% of cases, while 33.9% were considered to have inadequate usage. Age < 18 to 34 years at delivery, low maternal schooling, low family income, two or more previous deliveries, maternal smoking during pregnancy, having no partner and prenatal care obtained outside Aracaju were associated with inadequate prenatal care use. In contrast, private service attendance protected from inadequate prenatal care use. Conclusion Prenatal care coverage was high. However, a significant number of women still had inadequate prenatal care use. Socioeconomic inequalities, demographic factors and behavioural risk factors are still important factors associated with inadequate prenatal care use.