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Identify pregnancy-related challenges and opportunities to improve maternal health care in the United States and understand the potential role of predictive analytics tool(s) in bridging the existing gaps, specifically, in CVD (cardiovascular disease) and depression. Experts in maternal health care, research, patient advocacy, CVD, psychiatry, and technology were interviewed during February and March of 2020. Additionally, published literature was reviewed to assess existing data, insights, and best practices that might help develop effective predictive analytics tool(s). The majority (78%) of the 18 experts interviewed were women. The feedback revealed several insights, including multiple barriers to diagnosis and treatment of pregnancy-related CVD and depression. In experts' collective opinion, predictive analytics could play an important role in maternal health care and in limiting pregnancy-related CVD and depression, but it must be grounded in quality data and integrate with existing health management systems. A holistic approach to maternal health that factors in racial-ethnic, regional, and socioeconomic disparities is needed that starts with preconception counseling and continues through 1 year postpartum. Predictive analytics tool(s) that are based on diverse and high-quality data could bridge some of the existing gaps in maternal health care and potentially help limit pregnancy-related CVD and depression.

Objective: We conducted literature reviews to uncover differential effects of sex on sequelae from coronavirus disease 2019 (COVID-19) and on long COVID syndrome., Methods: Two authors independently searched OvidSP in Embase, Medline, Biosis, and Derwent Drug File. Publications reporting original, sex-disaggregated data for sequelae of COVID-19 (published before August 2020) and long COVID syndrome (published before June 2021) were included in the reviews. The association between COVID-19 sequelae (i.e. lasting <4 weeks after symptom onset) and sex, and between long COVID syndrome (i.e. lasting >4 weeks after symptom onset) and sex, was determined by odds ratio (OR) and 95% confidence interval (CI) (statistical significance defined by 95% CI not including 1)., Results: Of 4346 publications identified, 23 and 12 met eligibility criteria for COVID-19 sequelae and long COVID syndrome, respectively. COVID-19 sequelae in the categories of psychiatric/mood (OR = 1.80; 95% CI: 1.35-2.41), ENT (OR = 1.42; 95% CI: 1.39-1.46), musculoskeletal (OR = 1.15; 95% CI: 1.14-1.16), and respiratory (OR = 1.09; 95% CI: 1.08-1.11) were significantly more likely among females (vs. males), whereas renal sequelae (OR = 0.83; 95% CI: 0.75-0.93) were significantly more likely among males. The likelihood of having long COVID syndrome was significantly greater among females (OR = 1.22; 95% CI: 1.13-1.32), with the odds of ENT (OR = 2.28; 95% CI: 1.94-2.67), GI (OR = 1.60; 95% CI: 1.04-2.44), psychiatric/mood (OR = 1.58; 95% CI: 1.37-1.82), neurological (OR = 1.30; 95% CI: 1.03-1.63), dermatological (OR = 1.29; 95% CI: 1.05-1.58), and other (OR = 1.36; 95% CI: 1.25-1.49) disorders significantly higher among females and the odds of endocrine (OR = 0.75; 95% CI: 0.69-0.81) and renal disorders (OR = 0.74; 95% CI: 0.64-0.86) significantly higher among males., Conclusions: Sex-disaggregated differences for COVID-19 sequelae and long COVID syndrome were observed. Few COVID-19 studies report sex-disaggregated data, underscoring the need for further sex-based research/reporting of COVID-19 disease.