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Pacific evidence-based clinical and translational research is greatly needed. However, there are research challenges that stem from the creation, accessibility, availability, usability, and compliance of data in the Pacific. As a result, there is a growing demand for a complementary approach to the traditional Western research process in clinical and translational research. The data lifecycle is one such approach with a history of use in various other disciplines. It was designed as a data management tool with a set of activities that guide researchers and organizations on the creation, management, usage, and distribution of data. This manuscript describes the data lifecycle and its use by the Biostatistics, Epidemiology, and Research Design core data science team in support of the Center for Pacific Innovations, Knowledge, and Opportunities program. 

Objective This study aimed to compare cesarean delivery (CD) rates and maternal/neonatal outcomes before and after the 2014 ACOG/SMFM Obstetric Care Consensus for Safe Prevention of Primary CD. Study Design This retrospective study compared unscheduled CD rates and outcomes of singleton, cephalic, term pregnancies at a tertiary-care teaching maternity hospital. Births 5 years before (March 2009–February 2014) and after (June 2014–May 2019) release of the consensus were included. Chi-square and t-test were used to compare outcomes and logistic regression to adjust for confounders. Results In this study, 44,001 pregnancies were included, 20,887 before and 23,114 after the consensus. Unscheduled CD rates increased after the consensus (12.9 vs. 14.3%, p < 0.001); however, there was no difference after adjustment (adjusted odds ratio [aOR], 0.97; 95% confidence interval [CI], 0.91–1.03). Vaginal birth after cesarean (VBAC) deliveries increased among multiparas (4.8 vs. 7.2%, p < 0.001), which remained significant after adjustment (aOR, 1.51; 95% CI, 1.37–1.66). Postpartum hemorrhage, blood transfusion, and chorioamnionitis were modestly increased, while third-degree perineal lacerations decreased. Uterine rupture and neonatal outcomes were unchanged after adjustment. Conclusion At our tertiary-care maternity hospital, the Safe Prevention of Primary CD Care Consensus was not associated with a change in unscheduled CD, though VBAC deliveries increased. We did not demonstrate improved neonatal outcomes and showed increased maternal morbidity that warrants further study. Key Points 

Child birth via Cesarean section accounts for approximately 32% of all births each year in the United States. A variety of risk factors and complications can lead caregivers and patients to plan for a Cesarean delivery in advance before onset of labor. However, a non-trivial subset of Cesarean sections (∼25%) are unplanned and occur after an initial trial of labor is attempted. Unfortunately, patients who deliver via unplanned Cesarean sections have increased maternal morbidity and mortality rates and higher rates of neonatal intensive care admissions. In an effort to develop models aimed at improving health outcomes in labor and delivery, this work seeks to explore the use of national vital statistics data to quantify the likelihood of an unplanned Cesarean section based on 22 maternal characteristics. Machine learning techniques are used to ascertain influential features, train and evaluate models, and assess accuracy against available test data. Based on cross-validation results from a large training cohort ( n = 6,530,467 births), the gradient-boosted tree algorithm was identified as the best performer and was evaluated on a large test cohort ( n = 10,613,877 births) for two prediction scenarios. Area under the receiver operating characteristic curves of 0.77 or higher and recall scores of 0.78 or higher were obtained and the resulting models are well calibrated. Combined with feature importance analysis to explain why certain maternal characteristics lead to a specific prediction in individual patients, the developed analysis pipeline provides additional quantitative information to aid in the decision process on whether to plan for a Cesarean section in advance, a substantially safer option among women at a high risk of unplanned Cesarean delivery during labor. 

There is growing interest in the field of psychobiotics, which are probiotics that confer a mental health benefit when ingested. As this field grows, it should pay particular attention to three areas within psychobiotics research that are currently under-studied – sex (and gender) representation, fungi and the mycobiome, and vagus nerve activity. Giving these three domains more attention is currently feasible without significant increased investment of time or money. We discuss these three domains briefly, why they are of particular relevance for psychobiotics research, and how psychobiotics research can easily integrate their perspectives. Our recommendations are summarised in the conclusion, but include equal sex representation at all phases of research (human and animal studies), investigating the relationship between psychobiotics and commensal fungi, and measuring the activity of the vagus nerve in psychobiotics studies.