Severe Maternal Morbidity Due To Respiratory Disease And Impact Of 2009 H1n1 Influenza A Pandemic In Brazil: Results From A National Multicenter Cross-sectional Study

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)The aim of this study was to assess the burden of respiratory disease, considering the influenza A pandemic season (H1N1pdm09), within the Brazilian Network for Surveillance of Severe Maternal Morbidity, and factors associated with worse maternal outcome. Methods: A multicenter cross-sectional study, involving 27 referral maternity hospitals in five Brazilian regions. Cases were identified in a prospective surveillance by using the WHO standardized criteria for potentially life-threatening conditions (PLTC) and maternal near miss (MNM). Women with severe complications from respiratory disease identified as suspected or confirmed cases of H1N1 influenza or respiratory failure were compared to those with other causes of severe morbidity. A review of suspected H1N1 influenza cases classified women as non-tested, tested positive and tested negative, comparing their outcomes. Factors associated with severe maternal outcome (SMO = MNM + MD) were assessed in both groups, in comparison to PLTC, using PR and 95 % CI adjusted for design effect of cluster sampling. Results: Among 9555 cases of severe maternal morbidity, 485 (5 %) had respiratory disease. Respiratory disease occurred in one-quarter of MNM cases and two-thirds of MD. H1N1 virus was suspected in 206 cases with respiratory illness. Around 60 % of these women were tested, yielding 49 confirmed cases. Confirmed H1N1 influenza cases had worse adverse outcomes (MNM:MD ratio 50 %, in comparison to 7.4 % in other causes of severe maternal morbidity. Delay in medical care was associated with SMO in all cases considered, with a two-fold increased risk among respiratory disease patients. Perinatal outcome was worse in cases complicated by respiratory disease, with increased prematurity, stillbirth, low birth weight and Apgar score < 7. Conclusions: Respiratory disease, especially considering the influenza season, is a very severe cause of maternal near miss and death. Increased awareness about this condition, preventive vaccination during pregnancy, early diagnosis and treatment are required to improve maternal health.16CNPq/DECIT (The National Research Council and the Department of Science and Technology of the Brazilian Ministry of Health) [402702/2008-5]Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Planning, Implementing, and Running a Multicentre Preterm Birth Study with Biobank Resources in Brazil: The Preterm SAMBA Study

Background. Our aim was to describe the steps in planning, implementing, and running a multicentre cohort study of maternal and perinatal health using a high-quality biobank comprised of maternal serum, plasma, and hair samples collected from five sites in Brazil. The Preterm SAMBA study, conducted by the Brazilian Network for Studies on Reproductive and Perinatal Health, was an innovative approach used to identify women at higher risk for preterm birth. It is also of great importance in the study of other maternal and perinatal complications in the context of Brazil, which is a middle-income country. Methods. We described phases of planning, implementing, and running the Preterm SAMBA study, a multicentre Brazilian cohort study of low-risk nulliparous pregnant women, to validate a set of metabolite biomarkers for preterm birth identified in an external cohort. Procedures and strategies used to plan, implement, and maintain this multicentre preterm birth study are described in detail. Barriers and experience cited in the current narrative are not usually discussed in the scientific literature or published study protocols. Results. Several barriers and strategies were identified in different phases of the Preterm SAMBA study at different levels of the study framework (steering committee; coordinating and local centres). Strategies implemented and resources used in the study are a legacy of the Brazilian Network, aimed at training collaborators in such complex settings. Conclusion. The Brazilian Network for Studies on Reproductive and Perinatal Health has gained some experience in conducting a multicentre cohort study using a resourceful biobank which may be helpful to other research groups and maternal/perinatal health networks that plan on employing a similar approach to a similar background.201

Use of metabolomics for the identification and validation of clinical biomarkers for preterm birth:Preterm SAMBA

Made available in DSpace on 2018-12-11T17:29:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-08-08Background: Spontaneous preterm birth is a complex syndrome with multiple pathways interactions determining its occurrence, including genetic, immunological, physiologic, biochemical and environmental factors. Despite great worldwide efforts in preterm birth prevention, there are no recent effective therapeutic strategies able to decrease spontaneous preterm birth rates or their consequent neonatal morbidity/mortality. The Preterm SAMBA study will associate metabolomics technologies to identify clinical and metabolite predictors for preterm birth. These innovative and unbiased techniques might be a strategic key to advance spontaneous preterm birth prediction. Methods/design: Preterm SAMBA study consists of a discovery phase to identify biophysical and untargeted metabolomics from blood and hair samples associated with preterm birth, plus a validation phase to evaluate the performance of the predictive modelling. The first phase, a case-control study, will randomly select 100 women who had a spontaneous preterm birth (before 37 weeks) and 100 women who had term birth in the Cork Ireland and Auckland New Zealand cohorts within the SCOPE study, an international consortium aimed to identify potential metabolomic predictors using biophysical data and blood samples collected at 20 weeks of gestation. The validation phase will recruit 1150 Brazilian pregnant women from five participant centres and will collect blood and hair samples at 20 weeks of gestation to evaluate the performance of the algorithm model (sensitivity, specificity, predictive values and likelihood ratios) in predicting spontaneous preterm birth (before 34 weeks, with a secondary analysis of delivery before 37 weeks). Discussion: The Preterm SAMBA study intends to step forward on preterm birth prediction using metabolomics techniques, and accurate protocols for sample collection among multi-ethnic populations. The use of metabolomics in medical science research is innovative and promises to provide solutions for disorders with multiple complex underlying determinants such as spontaneous preterm birth.University of Campinas (UNICAMP) School of Medical Sciences Department of Obstetrics and Gynecology, R. Alexander Fleming, 101University of Auckland Gravida: National Centre for Growth and Development Liggins InstituteUniversity College Cork Irish Centre for Fetal and Neonatal Translational Research (INFANT) Department of Obstetrics and GynaecologyUniversity of Auckland South Auckland Clinical School Faculty of Medical and Health SciencesUniversity of Auckland School of Biological SciencesUniversity of Campinas (UNICAMP) LNBio-Brazilian Biosciences National Laboratory and School of Medical SciencesSchool of Medical Sciences University of CampinasLNBioSchool of Medicine of Botucatu UNESPSchool of Medicine Federal University of Rio Grande do SulSchool of Medicine Federal University of PernambucoSchool of Medicine Federal University of CearáKing's College London and King's Health PartnersMaternal and Fetal Health Research Centre University of ManchesterUniversity of LeedsUniversity of AdelaideSchool of Medicine of Botucatu UNES

Skin color and severe maternal outcomes: evidence from the brazilian network for surveillance of severe maternal morbidity

Taking into account the probable role that race/skin color may have for determining outcomes in maternal health, the objective of this study was to assess whether maternal race/skin color is a predictor of severe maternal morbidity. This is a secondary analysis of the Brazilian Network for Surveillance of Severe Maternal Morbidity, a national multicenter cross-sectional study of 27 Brazilian referral maternity hospitals. A prospective surveillance was performed to identify cases of maternal death (MD), maternal near miss (MNM) events, and potentially life-threatening conditions (PLTC), according to standard WHO definition and criteria. Among 9,555 women with severe maternal morbidity, data on race/skin color was available for 7,139 women, who were further divided into two groups: 4,108 nonwhite women (2,253 black and 1,855 from other races/skin color) and 3,031 white women. Indicators of severe maternal morbidity according to WHO definition are shown by skin color group. Adjusted Prevalence Ratios (PRadj - 95%CI) for Severe Maternal Outcome (SMO=MNM+MD) were estimated according to sociodemographic/obstetric characteristics, pregnancy outcomes, and perinatal results considering race. Results. Among 7,139 women with severe maternal morbidity evaluated, 90.5% were classified as PLTC, 8.5% as MNM, and 1.6% as MD. There was a significantly higher prevalence of MNM and MD among white women. MNMR (maternal near miss ratio) was 9.37 per thousand live births (LB). SMOR (severe maternal outcome ratio) was 11.08 per 1000 LB, and MMR (maternal mortality ratio) was 170.4 per 100,000 LB. Maternal mortality to maternal near miss ratio was 1 to 5.2, irrespective of maternal skin color. Hypertension, the main cause of maternal complications, affected mostly nonwhite women. Hemorrhage, the second more common cause of maternal complication, predominated among white women. Nonwhite skin color was associated with a reduced risk of SMO in multivariate analysis. Nonwhite skin color was associated with a lower risk for severe maternal outcomes. This result could be due to confounding factors linked to a high rate of Brazilian miscegenation.2019CNPQ - Conselho Nacional de Desenvolvimento Científico e Tecnológico402702/2008-

The Role Of Infection And Sepsis In The Brazilian Network For Surveillance Of Severe Maternal Morbidity

ObjectiveTo identify the burden of severe infection within the Brazilian Network for Surveillance of Severe Maternal Morbidity and factors associated with worse maternal outcomes. MethodsThis was a multicentre cross-sectional study involving 27 referral maternity hospitals in Brazil. WHOs standardised criteria for potentially life-threatening conditions and maternal near miss were used to identify cases through prospective surveillance and the main cause of morbidity was identified as infection or other causes (hypertension, haemorrhage or clinical/surgical). Complications due to infection were compared to complications due to the remaining causes of morbidity. Factors associated with a severe maternal outcome were assessed for the cases of infection. ResultsA total of 502 (5.3%) cases of maternal morbidity were associated with severe infection vs. 9053 cases (94.7%) with other causes. Considering increased severity of cases, infection was responsible for one-fourth of all maternal near miss (23.6%) and nearly half (46.4%) of maternal deaths, with a maternal near miss to maternal death ratio three times (2.8:1) that of cases without infection (7.8:1) and a high mortality index (26.3%). Within cases of infection, substandard care was present in over one half of the severe maternal outcome cases. Factors independently associated with worse maternal outcomes were HIV/AIDS, hysterectomy, prolonged hospitalisation, intensive care admission and delays in medical care. ConclusionsInfection is an alarming cause of maternal morbidity and mortality and timely diagnosis and adequate management are key to improving outcomes during pregnancy. Delays should be addressed, risk factors identified, and specific protocols of surveillance and care developed for use during pregnancy.21218319

Evidenciação ambiental dos resíduos sólidos de companhias abertas no Brasil potencialmente poluidoras

Esta pesquisa tem como motivação a obrigatoriedade das empresas de apresentarem informações ambientais sobre os resíduos sólidos no ano de 2010. Parte da seguinte pergunta de pesquisa: como estão sendo evidenciadas as informações ambientais relativas aos resíduos sólidos das companhias abertas no Brasil potencialmente poluidoras no ano de 2010? Com vista a uma resolução plausível, tem-se como objetivo geral verificar a evidenciação ambiental quanto aos resíduos sólidos das companhias abertas no Brasil potencialmente poluidoras no ano de 2010. Para atingir esse objetivo, são estipulados os seguintes objetivos específicos: (i) propor um modelo para identificar itens de evidenciação ambiental dos resíduos sólidos; (ii) avaliar o nível da evidenciação ambiental e correlacioná-lo com variáveis financeiras. Para a análise dos dados é construído um modelo de análise da evidenciação ambiental dos resíduos sólidos (Waste-Ede), que compreende a junção das ideias contidas no modelo Environmental Disclosure Evaluation, na política nacional de resíduos sólidos (Lei Federal n. 12.305/2010) e nas diretrizes da Global Reporting Initiative (2006). Os resultados demonstram que a maioria das companhias não publicou o relatório de sustentabilidade. A amostra final não probabilística contemplou 86 companhias. Os resultados limitados a essa amostra revelam que as companhias estão evidenciando informações de resíduos sólidos no nível mercado (conforme modelo), com média de 12,44 pontos, e que há correlação significante em 95% do índice Waste-Ede com as variáveis financeiras: investimentos ambientais, ativo total, patrimônio líquido e receita bruta. Conclui-se que, no ano de 2010, as companhias abertas no Brasil potencialmente poluidoras que fizeram parte do estudo respeitaram, provavelmente, as pressões de seus investidores, uma vez que os reguladores não apresentaram poder de enforcement