Risk factors associated with preterm birth: identification, prediction and evaluation in the BRISA cohort

Problem: Preterm birth is the leading cause of death and can result in significant long-term loss of physical and psychological capacity among survivors.Background: An estimated 15 million babies are born preterm every year. Prediction models based on machine learning methods have reported promising results.Aims: To identify risk factors associated with preterm birth and to develop and validate a prediction model for this outcome in a Brazilian birth cohort.Methods: Cross-sectional study of all births that occurred in Ribeirão Preto-SP and of one in three births that occurred in São Luís-MA, Brazil, in 2010. Questionnaires were applied to obtain pregnancy-related data. Multivariate adaptive regression splines were used to determine the independent variables. Preterm birth, defined as birth before 37 weeks gestational age, was the dependent variable. A random forest model was developed and its performance was evaluated by ROC analysis.Findings: The preterm birth rates were 12.7% (RP) and 14.1% (SL). The prediction and validation accuracies of the RF-based model were 91.3% and 85.5% respectively. The model can be applied starting in the third month of gestation and is more effective in identifying preterm infants with GA<31 weeks and 6 days (AUC=0.98).Discussion: It was possible to build a prediction model based on easily accessible low-cost data, without the need for complementary tests, providing results similar to those of other studies.Conclusions: Previous preterm birth and prenatal care were determinants. The use of an application for individualized patient monitoring an early stage can have positive effects on the quality of life of mother and child.

Factors associated with neonatal-near miss: birth cohorts in three Brazilian cities - Ribeirão Preto, Pelotas and São Luís, Brazil.

The aim of this study was to investigate the association of sociodemographic factors, lifestyle, maternal reproductive profile and prenatal and childbirth care with neonatal near miss (NNM) morbidity in four birth cohorts. This study involved four population-based birth cohorts: Ribeirão Preto (RP) and São Luís (SL) (2010), Pelotas 2004 (PEL04) and 2015 (PEL15). NNM was defined when one or more of the following conditions were present: birthweight <1,500 g, 5-minute Apgar score <7, gestational age <32 weeks, and report of congenital malformations. The covariates were obtained with questionnaires applied to the puerperal women. Some particularities between cohorts were identified. In the RP and SL cohorts, factors of the more distal levels (sociodemographic, lifestyle, and reproductive profile) were associated with NNM. On the other hand, proximal factors related to healthcare were more significant for the occurrence of NNM in PEL. Only the absence of prenatal care was associated with NNM in all cohorts: RP (OR=4.27, 95%CI 2.16-8.45), SL (OR=2.32, 95%CI 1.09-4.94), PEL04 (OR=4.79, 95%CI 1.59-14.46), and PEL15 (OR=5.10, 95%CI 2.60-9.97).

Hypertension defined by the 2017 ACC/AHA guideline is more accurate than 2018 ESC/ESH for detecting early vascular aging in young adults.

ABSTRACT: Determine the most accurate diagnostic criteria of arterial hypertension (AH) for detecting early vascular aging (EVA) defined by pulse wave velocity (PWV) higher than ≥9.2 m/s.Cross-sectional study of a birth cohort started in 1978/79. The following data were collected between April 6, 2016 and August 31, 2017 from 1775 participants: demographic, anthropometric, office blood pressure (BP) measurement, biochemical risk factors, and PWV. A subsample of 454 participants underwent 24-hour ambulatory BP monitoring. The frequencies of AH, and BP phenotypes were calculated according to both guidelines. BP phenotypes (white-coat hypertension, masked hypertension (MHT), sustained hypertension (SH) and normotension) were correlated with risk factors and subclinical target organ damage after adjustment for confounders by multiple linear regression. Receiver operating characteristic curves were constructed to determine the best BP threshold for detecting EVA.A higher frequency of AH (45.1 vs 18.5%), as well as of SH (40.7 vs 14.8%) and MHT (28.9 vs 25.8%) was identified using the 2017 ACC/AHA criteria comparing with 2018 ESC/ESH. EVA was associated with the higher-risk BP phenotypes (SH and MHT, P < .0001) in both criteria. There was a higher accuracy in diagnosing EVA, with the 2017 ACC/AHA criteria. Analysis of the receiver operating characteristic curves showed office BP cutoff value (128/83 mm Hg) for EVA closer to the 2017 ACC/AHA threshold.The 2017 AHA/ACC guideline for the diagnosis of AH, and corresponding ambulatory BP monitoring values, is more accurate for discriminating young adults with EVA. Clinical application of PWV may help identify patients that could benefit from BP levels <130/80 mm Hg.

Factors associated with neonatal-near miss: birth cohorts in three Brazilian cities - Ribeirão Preto, Pelotas and São Luís, Brazil / Fatores associados ao near miss neonatal: coortes de nascimentos de três cidades brasileiras - Ribeirão Preto, Pelotas e São Luís, Brasil

Abstract The aim of this study was to investigate the association of sociodemographic factors, lifestyle, maternal reproductive profile and prenatal and childbirth care with neonatal near miss (NNM) morbidity in four birth cohorts. This study involved four population-based birth cohorts: Ribeirão Preto (RP) and São Luís (SL) (2010), Pelotas 2004 (PEL04) and 2015 (PEL15). NNM was defined when one or more of the following conditions were present: birthweight <1,500 g, 5-minute Apgar score <7, gestational age <32 weeks, and report of congenital malformations. The covariates were obtained with questionnaires applied to the puerperal women. Some particularities between cohorts were identified. In the RP and SL cohorts, factors of the more distal levels (sociodemographic, lifestyle, and reproductive profile) were associated with NNM. On the other hand, proximal factors related to healthcare were more significant for the occurrence of NNM in PEL. Only the absence of prenatal care was associated with NNM in all cohorts: RP (OR=4.27, 95%CI 2.16-8.45), SL (OR=2.32, 95%CI 1.09-4.94), PEL04 (OR=4.79, 95%CI 1.59-14.46), and PEL15 (OR=5.10, 95%CI 2.60-9.97).

Resumo O objetivo deste estudo foi investigar a associação entre fatores sociodemográficos, estilo de vida, perfil reprodutivo maternos e atenção pré-natal e ao parto com a morbidade near miss neonatal (NMN), em quatro coortes de nascimento. Este estudo envolveu quatro coortes de nascimento: Ribeirão Preto (RP) e São Luís (SL) (2010), Pelotas 2004 (PEL04) e 2015 (PEL15). Foi considerado NMN quando presente uma ou mais das seguintes condições: peso ao nascer <1.500g, índice de Apgar <7 no quinto minuto de vida, idade gestacional <32 semanas e relato de malformações congênitas. As covariáveis foram obtidas por meio de questionários aplicados às puérperas. Para análise, foi utilizada regressão logística múltipla com abordagem hierarquizada. Algumas particularidades entre as coortes foram verificadas. Nas coortes de RP e SL foram observadas associações dos fatores dos níveis mais distais (sociodemográficas, estilo de vida e perfil reprodutivo) com o NMN. Por outro lado, em PEL os fatores proximais relacionados à atenção à saúde foram mais significativos para ocorrência de NMN. Apenas a não realização do pré-natal associou-se ao NMN em todas as coortes: RP (OR=4,27, IC95% 2,16-8,45), SL (OR=2,32, IC95% 1,09-4,94), PEL04 (OR=4,79, IC95% 1,59-14,46) e PEL15 (OR=5,10, IC95% 2,60-9,97).

Comparison of body composition parameters in the study of the association between body composition and pulmonary function.

BACKGROUND: The excess adiposity, even in the absence of diseases, is responsible for a decline in pulmonary function, which is considered a predictor of mortality and a risk factor for diseases in several epidemiological studies. However, studies on the association between obesity and pulmonary function have found only few associations or inconclusive results. The aim of the study is to evaluate the association between body composition and spirometric parameters, comparing simple obesity measures such as body mass index (BMI) and waist circumference with more precise body composition measurements such as dual-energy X-ray absorptiometry (DXA) and air-displacement plethysmography (BOD POD). METHODS: This is an observational, cross-sectional study that used data from the 1978/79 Ribeirão Preto birth cohort (São Paulo, Brazil). The study included 1746 participants from the 5th follow-up of the cohort. Linear regressions were calculated to evaluate the association between BMI, waist circumference, waist-height ratio (WHtR), BOD POD- and DXA-measured fat mass percentage, and spirometric parameters FEV1, and FVC. RESULTS: For every 1-kg/m2 BMI increase, FVC decreased by 13 ml in males and by 6 ml in females and FEV1 decreased by 11 ml and 5 ml, respectively. Regarding body composition measurements, for a 1% increase in fat mass assessed by BOD POD, FVC decreased by 16 ml in males and by 8 ml in females and FEV1 decreased by 13 ml and 7 ml, respectively. Hence, negative associations between body measurements and FEV1 and FVC were observed in both genders, especially when using the fat mass measurement and were more expressive in men. CONCLUSION: The anthropometric and body composition parameters were negatively associated with the spirometric variables FVC and FEV1. We have also observed that simple measures such as waist-height ratio were sufficient to detect the association of body composition with pulmonary function reduction.