Boston University Libraries OpenBU
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    •   OpenBU
    • Theses & Dissertations
    • Boston University Theses & Dissertations
    • View Item
    •   OpenBU
    • Theses & Dissertations
    • Boston University Theses & Dissertations
    • View Item

    A review of the implications of chronic kidney disease in pregnancy on maternal and fetal outcomes

    Thumbnail
    Date Issued
    2020
    Author(s)
    Belding, Emily
    Share to FacebookShare to TwitterShare by Email
    Export Citation
    Download to BibTex
    Download to EndNote/RefMan (RIS)
    Metadata
    Show full item record
    Permanent Link
    https://hdl.handle.net/2144/41185
    Abstract
    The prevalence of pregnancies complicated by chronic kidney disease (CKD) is increasing. Yet, CKD in pregnancy tends to be under-diagnosed, as women of childbearing age are not regularly screened for renal dysfunction, nor is screening incorporated into routine pregnancy follow up. Further, renal dysfunction has significant implications for maternal and fetal outcomes, with degree of renal dysfunction at conception being the most important prognostic factor. It is established that the risk for poorer renal, maternal and fetal outcomes, increases incrementally with severity of CKD, with intrauterine death and progression to end-stage renal disease (ESDR) associated with severe CKD. However, it is difficult to predict which CKD pregnancies will lead to poor outcomes as the definition of CKD in pregnancy is not uniform between studies, nor are measurement parameters. This paucity of data prevents the establishment of a standard of care protocol and leaves clinicians ill-equipped to care for and manage this complex patient cohort. This review discusses renal, maternal and fetal outcomes in CKD pregnancies as presented by the literature, in order to demonstrate the contradictions in data and gaps in knowledge surrounding this topic, as well as the need for a general management algorithm.
    Collections
    • Boston University Theses & Dissertations [6950]


    Boston University
    Contact Us | Send Feedback | Help
     

     

    Browse

    All of OpenBUCommunities & CollectionsIssue DateAuthorsTitlesSubjectsThis CollectionIssue DateAuthorsTitlesSubjects

    Deposit Materials

    LoginNon-BU Registration

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Boston University
    Contact Us | Send Feedback | Help