Principal investigator gender and clinical trial success: analysis of over 3000 obstetrics and gynecology trials.

Background: In obstetrics and gynecology (OBGYN) research, gender disparities permeate through leadership, funding, promotion, mentorship, publishing, compensation, and publicity. Few studies have investigated OBGYN clinical trial leadership as it relates to investigator gender. Thus, we undertook an investigation of principal investigator (PI) gender and clinical trial success.

Association of neighborhood-level socioeconomic disadvantage and Life's Essential 8 in early pregnancy.

We examined whether neighborhood-level socioeconomic disadvantage per the Area Deprivation Index (ADI) was associated with maternal cardiovascular health (CVH) in early pregnancy per the American Heart Association Life's Essential 8 (LE8). This is a cross-sectional analysis from the prospective Nulliparous Pregnancy Outcomes Study-Monitoring Mothers-to-Be Heart Health Study (nuMoM2b-HHS) cohort. The exposure was the ADI in tertiles (T) from least (T1) to most (T3) socioeconomic disadvantage.

Determinants of Racial and Ethnic Differences in Maternal Cardiovascular Health in Early Pregnancy.

Background: Suboptimal cardiovascular health (CVH) in pregnancy is associated with adverse maternal and offspring outcomes. To guide public health efforts to reduce disparities in maternal CVH, we determined the contribution of individual- and neighborhood-level factors to racial and ethnic differences in early pregnancy CVH.

Methods: We included nulliparous individuals with singleton pregnancies who self-identified as Hispanic, non-Hispanic Black (NHB), or non-Hispanic White (NHW) and participated in the nuMoM2b cohort study (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be).

New Library-Based Methods for Nontargeted Compound Identification by GC-EI-MS.

While gas chromatography mass spectrometry (GC-MS) has long been used to identify compounds in complex mixtures, this process is often subjective and time-consuming and leaves a large fraction of seemingly good-quality spectra unidentified. In this work, we describe a set of new mass spectral library-based methods to assist compound identification in complex mixtures. These methods employ mass spectral uniqueness and compound ubiquity of library entries alongside noise reduction and automated comparison of retention indices to library compounds.