No abstract

OBJECTIVE: To systematically review the effectiveness of telehealth interventions for improving obstetric and gynecologic health outcomes. DATA SOURCES: We conducted a comprehensive search for primary literature in ClinicalTrials.gov, Cochrane Library, Cochrane Collaboration Registry of Controlled Trials, EMBASE, PubMed, and MEDLINE. METHODS OF STUDY SELECTION: Qualifying primary studies had a comparison group, were conducted in countries ranked very high on the United Nations Human Development Index, published in English, and evaluated obstetric and gynecologic health outcomes. Cochrane Collaboration's tool and ROBINS-I tool were used for assessing risk of bias. Summary of evidence tables were created using the United States Preventive Services Task Force Summary of Evidence Table for Evidence Reviews. TABULATION, INTEGRATION, RESULTS: Of the 3,926 published abstracts identified, 47 met criteria for inclusion and included 31,967 participants. Telehealth interventions overall improved obstetric outcomes related to smoking cessation and breastfeeding. Telehealth interventions decreased the need for high-risk obstetric monitoring office visits while maintaining maternal and fetal outcomes. One study found reductions in diagnosed preeclampsia among women with gestational hypertension. Telehealth interventions were effective for continuation of oral and injectable contraception; one text-based study found increased oral contraception rates at 6 months. Telehealth provision of medication abortion services had similar clinical outcomes compared with in-person care and improved access to early abortion. Few studies suggested utility for telehealth to improve notification of sexually transmitted infection test results and app-based intervention to improve urinary incontinence symptoms. CONCLUSION: Telehealth interventions were associated with improvements in obstetric outcomes, perinatal smoking cessation, breastfeeding, early access to medical abortion services, and schedule optimization for high-risk obstetrics. Further well-designed studies are needed to examine these interventions and others to generate evidence that can inform decisions about implementation of newer telehealth technologies into obstetrics and gynecology practice.

Background Preeclampsia is a pregnancy-specific hypertensive disorder characterized by impaired angiogenesis. We postulate that senescence of mesenchymal stem cells (MSC), multipotent cells with pro-angiogenic activities, is one of the mechanisms by which systemic inflammation exerts inhibitory effects on angiogenesis in preeclampsia. Methods MSC were isolated from abdominal fat tissue explants removed during medically indicated C-sections from women with preeclampsia (PE-MSC, n = 10) and those with normotensive pregnancies (NP-MSC, n = 12). Sections of the frozen subcutaneous adipose tissue were assessed for inflammation by staining for tumor necrosis factor (TNF)-alpha and monocyte chemoattractant protein (MCP)-1. Viability, proliferation, and migration were compared between PE-MSC vs. NP-MSC. Apoptosis and angiogenesis were assayed before and after treatment with a senolytic agent (1 μM dasatinib) using the IncuCyte S3 Live-Cell Analysis System. Similarly, staining for senescence-associated beta galactosidase (SABG) and qPCR for gene expression of senescence markers, p16 and p21, as well as senescence-associated secretory phenotype (SASP) components, IL-6, IL-8, MCP-1, and PAI-1, were studied before and after treatment with dasatinib and compared between PE and NP. Results After in vitro exposure to TNF-alpha, MSC demonstrated upregulation of SASP components, including interleukins-6 and -8 and MCP-1. Staining of the subcutaneous adipose tissue sections revealed a greater inflammatory response in preeclampsia, based on the higher levels of both TNF-alpha and MCP-1 compared to normotensive pregnancies (p < 0.001 and 0.024, respectively). MSC isolated from PE demonstrated a lower percentage of live MSC cells (p = 0.012), lower proliferation (p = 0.005), and higher migration (p = 0.023). At baseline, PE-MSC demonstrated a senescent phenotype, reflected by more abundant staining for SABG (p < 0.001), upregulation of senescence markers and SASP components, as well as lower angiogenic potential (p < 0.001), compared to NP-MSC. Treatment with dasatinib increased significantly the number of apoptotic PE-MSC compared to NP-MSC (0.011 vs. 0.093) and decreased the gene expression of p16 and six SASP components. The mechanistic link between senescence and impaired angiogenesis in PE was confirmed by improved angiogenic potential of PE-MSC (p < 0.001) after dasatinib treatment. Conclusions Our data suggest that MSC senescence exerts inhibitory effects on angiogenesis in preeclampsia. Senolytic agents may offer the opportunity for mechanism-based therapies.

Objective: To develop and validate criteria for the retrospective diagnoses of hypertensive disorders of pregnancy that would be amenable to the development of an electronic algorithm, and to compare the accuracy of diagnoses based on both the algorithm and diagnostic codes against the gold standard, i.e., physician-made diagnosis. Patients and Methods: An algorithm for hypertensive disorders of pregnancy was developed by first defining a set of criteria for retrospective diagnoses, which included relevant clinical variables and diagnosis of hypertension that required blood pressure elevations in greater than 50 % of readings (“the 50% rule”). The algorithm was validated using the Rochester Epidemiology Project (Rochester, MN, USA). A stratified-random sample of pregnancies and deliveries between January 1, 1976 and December 31, 1982 according to the algorithm-based diagnoses was generated for review and physician-made diagnoses (normotensive, gestational hypertension, and preeclampsia), which served as the gold standard; the targeted cohort for analysis was 25 per diagnosis category based on the gold standard. The agreements between i) the algorithm-based diagnoses and ii) diagnostic codes and the gold standard were analyzed. Results: Sensitivities of the algorithm for 25 normotensive, 25 gestational hypertension, and 25 preeclamptic pregnancies were 100%, 88%, and 100%, respectively. Specificities were 94%, 100%, and 100%, respectively. Diagnostic code sensitivities were 96% for normotensive, 32% for gestational hypertension and 96% for preeclampsia. Specificities were 78%, 96%, and 88%, respectively. Conclusion: Electronic diagnostic algorithm was highly sensitive and specific in identifying and classifying hypertensive disorders of pregnancy and was superior to diagnostic codes.