Unveiling the strong positive relationship: Maternal characteristics and neonatal outcomes in the Better Outcomes in Labour Difficulty (BOLD) study - a secondary analysis validating neonatal near miss classification.

Background: The near miss concept, denoting near collisions between aircraft, originated in aeronautics, but has recently been transferred to the neonatal context as a way of evaluating the quality of health services for newborns, especially in settings with reduced child mortality. However, there is yet no consensus regarding the underlying criteria. The most common indicators used to assess health care quality include mortality (maternal and neonatal) and life-threatening conditions. Using the World Health Organization (WHO) Better Outcomes in Labour Difficulty (BOLD) prospective cohort study data set, we conducted a secondary analysis to validate the near miss concept and explore the association between maternal and neonatal outcomes. Methods: We studied 10 203 singleton mothers treated between December 2014 and November 2015 in nine Nigerian and four Ugandan hospitals. We validated the near miss concept by testing the diagnostic accuracy (sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and odds ratio (OR)) using death as the reference variable and calculating the maternal and neonatal case fatality rates. We performed ordinal and binomial logistic regression, with the independent variables being those that had P < 0.1 in the univariate analyses. We considered the significance level of 5%. Results: We validated the neonatal near miss concept using the BOLD study data. We observed maternal and neonatal case fatality rates of 70.2% and 6.5%, with an increasing severity relationship between maternal and neonatal outcomes (P < 0.05). Ordinal logistic regression showed that gestational age <37 or >41 weeks and <8 antenatal consultations were related to a higher risk of neonatal severe outcomes, while maternal age between 30 and 34 years functioned as a protective factor against severe neonatal outcomes (SNO). Binomial logistic regression showed gestational age <37(OR = 1.46; 95% confidence interval (CI) = 1.07-1.94) or >41 weeks (OR = 2.26; 95% CI = 1.55-3.20), low educational level (OR = 1.76; 95% CI = 1.12-2.69), overweight/obesity (OR = 1.23; 95% CI = 1.02-1.47), one previous cesarean section (OR = 1.90; 95% CI = 1.36-2.61), one previous abortion (OR = 1.25; 95% CI = 1.00-1.56), and previous chronic condition (OR = 1.83; 95% CI = 1.37-2.41) were risk factors for SNO. Conclusions: The neonatal near miss concept could be used as a parameter for analysis in different health systems, to ensure that measuring of neonatal severity is comparable across health care units. In this analysis, we observed a progressive association between maternal severity and the severity of the newborns' outcomes.

The Log-Normal zero-inflated cure regression model for labor time in an African obstetric population.

In obstetrics and gynecology, knowledge about how women's features are associated with childbirth is important. This leads to establishing guidelines and can help managers to describe the dynamics of pregnant women's hospital stays. Then, time is a variable of great importance and can be described by survival models. An issue that should be considered in the modeling is the inclusion of women for whom the duration of labor cannot be observed due to fetal death, generating a proportion of times equal to zero. Additionally, another proportion of women's time may be censored due to some intervention. The aim of this paper was to present the Log-Normal zero-inflated cure regression model and to evaluate likelihood-based parameter estimation by a simulation study. In general, the inference procedures showed a better performance for larger samples and low proportions of zero inflation and cure. To exemplify how this model can be an important tool for investigating the course of the childbirth process, we considered the Better Outcomes in Labor Difficulty project dataset and showed that parity and educational level are associated with the main outcomes. We acknowledge the World Health Organization for granting us permission to use the dataset.

Maternal BMI at the time of birth and selected risk factors associated with severe neonatal outcomes: a secondary analysis of the WHO Better Outcomes in Labour Difficulty (BOLD) project.

The main objective of this secondary analysis was to describe the nutritional status of the Better Outcomes in Labour Difficulty (BOLD) project study population and determine possible associations between maternal nutritional status (as reflected by maternal BMI at the time of birth) and severe neonatal outcomes (SNO). We also analysed previous and index maternal pathologies to determine associations with neonatal outcomes. We used the classification designed by Atalah for maternal BMI and compared with the Hyperglycaemia and Adverse Pregnancy Outcome study one. To describe the nutritional status of this population, figures of distribution and test of normality related to weight and BMI were presented for the women and their babies. To explore the association between maternal BMI data and SNO, the χ2 test was performed. To identify a maternal characteristic or a group of characteristics that could predict SNO, we used Fisher's exact test using previous maternal pathology collected in the BOLD project as well as that in the index pregnancy. In this study, BMI at the time of birth was not associated with neonatal near miss or death. We found that previous maternal obesity, diabetes and chronic hypertension were associated with SNO. Maternal pathology in the index pregnancy such as other obstetric haemorrhage, pre-eclampsia, anaemia and gestational diabetes was associated with SNO.