Maternal sepsis: new concepts, new practices.
Current opinion in obstetrics & gynecology
Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.
Annals of epidemiology
PURPOSE OF REVIEW: Sepsis is a leading cause of severe maternal morbidity and maternal death. As pregnancy-related sepsis can be difficult to recognize, clinicians should maintain a low threshold for early evaluation and treatment.RECENT FINDINGS: Definitions and treatment guidelines for maternal sepsis were recently revised in 2016 and 2017 by the Surviving Sepsis Campaign and WHO. Multiple clinical decision tools have been created to aid clinicians in early recognition and risk prediction for sepsis in obstetric populations, but currently, an optimal screening tool does not exist. Early recognition and urgent treatment is paramount for patient survival. Antibiotics should be started within 1 h and fluid resuscitation should be initiated if sepsis-induced hypoperfusion is present. Care should be escalated to appropriate settings and source control provided.SUMMARY: Obstetricians have a heightened understanding of the physiologic changes in pregnancy and play a vital role in coordinating patient care and improving outcomes. The recent 2016 and 2017 revisions of definitions for maternal sepsis and treatment should be incorporated into clinical practice.
View details for PubMedID 30789841
Maternal Congenital Heart Disease in Pregnancy.
Obstetrics and gynecology clinics of North America
2018; 45 (2): 267–80
PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, occurring disproportionately among non-Hispanic black women compared to other race-ethnicities. Clinicians lack tools to identify first-time mothers at risk for spontaneous preterm birth. This study assessed prediction of early (<32weeks) spontaneous preterm birth among non-Hispanic black and white women by applying state-of-the-art machine-learning to multilevel data from a large birth cohort.METHODS: Data from birth certificate and hospital discharge records for 336,214 singleton births to nulliparous women in California from 2007 to 2011 were used in cross-validated regressions, with multiple imputation for missing covariate data. Residential census tract information was overlaid for 281,733 births. Prediction was assessed with areas under the receiver operator characteristic curves (AUCs).RESULTS: Cross-validated AUCs were low (0.62 [min=0.60, max=0.63] for non-Hispanic blacks and 0.63 [min=0.61, max=0.65] for non-Hispanic whites). Combining racial-ethnic groups improved prediction (cross-validated AUC=0.67 [min=0.65, max=0.68]), approaching what others have achieved using biomarkers. Census tract-level information did not improve prediction.CONCLUSIONS: The resolution of administrative data was inadequate to precisely predict individual risk for early spontaneous preterm birth despite the use of advanced statistical methods.
View details for PubMedID 30236415
Congenital heart disease comprises most maternal cardiac diseases in pregnancy and is an important cause of maternal, fetal, and neonatal morbidity and mortality worldwide. Pregnancy is often considered a high-risk state for individuals with structural heart disease as a consequence of a limited ability to adapt to the major hemodynamic changes associated with pregnancy. Preconception counseling and evaluation are of utmost importance, as pregnancy is contraindicated in certain cardiac conditions. Pregnancy can be safely accomplished in most individuals with careful risk assessment before conception and multidisciplinary care throughout pregnancy and the postpartum period.
View details for PubMedID 29747730