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  1. Article: Prevention, diagnosis, and management of donor derived infections in pediatric kidney transplant recipients.

    Epperson, Katrina / Crane, Clarkson / Ingulli, Elizabeth

    Frontiers in pediatrics

    2023  Volume 11, Page(s) 1167069

    Abstract: Donor derived infections (DDIs) in pediatric kidney transplant recipients remain challenging to diagnose and can result in serious morbidity and mortality. This review summarizes the current guidelines and recommendations for prevention, diagnosis, and ... ...

    Abstract Donor derived infections (DDIs) in pediatric kidney transplant recipients remain challenging to diagnose and can result in serious morbidity and mortality. This review summarizes the current guidelines and recommendations for prevention, diagnosis, and treatment of unexpected DDIs in pediatric kidney transplant recipients. We provide a contemporary overview of DDI terminology, surveillance, epidemiology, and recommended approaches for assessing these rare events with an emphasis on the pediatric recipient. To address prevention and risk mitigation, important aspects of donor and pediatric candidate evaluations are reviewed, including current Organ Procurement and Transplantation Network (OPTN) and American Society of Transplantation (AST) recommendations. Common unexpected DDI encountered by pediatric transplant teams including multi-drug resistant organisms, tuberculosis, syphilis, West Nile Virus, toxoplasmosis, Chagas disease, strongyloidiasis, candidiasis, histoplasmosis, coccidioidomycosis, and emerging infections such as COVID-19 are discussed in detail. Finally, we consider the general challenges with management of DDIs and share our experience with a novel application of next generation sequencing (NGS) of microbial cell-free DNA that will likely define a future direction in this field.
    Language English
    Publishing date 2023-04-21
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1167069
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Defining natural history: assessment of the ability of college students to aid in characterizing clinical progression of Niemann-Pick disease, type C.

    Shin, Jenny / Epperson, Katrina / Yanjanin, Nicole M / Albus, Jennifer / Borgenheimer, Laura / Bott, Natalie / Brennan, Erin / Castellanos, Daniel / Cheng, Melissa / Clark, Michael / Devany, Margaret / Ensslin, Courtney / Farivari, Nina / Fernando, Shanik / Gabriel, Lauren / Gallardo, Rani / Castleman, Moriah / Gutierrez, Olimpia / Herschel, Allison /
    Hodge, Sarah / Horst, Anne / Howard, Mary / James, Evan / Jones, Lindsey / Kearns, Mary / Kelly, Mary / Kim, Christine / Kiser, Kinzie / Klazura, Gregory / Knoedler, Chris / Kolbus, Emily / Lange, Lauren / Lee, Joan / Li, Eileena / Lu, Wei / Luttrell, Andrew / Ly, Emily / McKeough, Katherine / McSorley, Brianna / Miller, Catherine / Mitchell, Sean / Moon, Abbey / Moser, Kevin / O'Brien, Shane / Olivieri, Paula / Patzwahl, Aaron / Pereira, Marie / Pymento, Craig / Ramelb, Erin / Ramos, Bryce / Raya, Teresa / Riney, Stephen / Roberts, Geoff / Robertshaw, Mark / Rudolf, Frannie / Rund, Samuel / Sansone, Stephanie / Schwartz, Lindsay / Shay, Ryan / Siu, Edwin / Spear, Timothy / Tan, Catherine / Truong, Marisa / Uddin, Mairaj / Vantrieste, Jennifer / Veloz, Omar / White, Elizabeth / Porter, Forbes D / Haldar, Kasturi

    PloS one

    2011  Volume 6, Issue 10, Page(s) e23666

    Abstract: Niemann-Pick Disease, type C (NPC) is a fatal, neurodegenerative, lysosomal storage disorder. It is a rare disease with broad phenotypic spectrum and variable age of onset. These issues make it difficult to develop a universally accepted clinical outcome ...

    Abstract Niemann-Pick Disease, type C (NPC) is a fatal, neurodegenerative, lysosomal storage disorder. It is a rare disease with broad phenotypic spectrum and variable age of onset. These issues make it difficult to develop a universally accepted clinical outcome measure to assess urgently needed therapies. To this end, clinical investigators have defined emerging, disease severity scales. The average time from initial symptom to diagnosis is approximately 4 years. Further, some patients may not travel to specialized clinical centers even after diagnosis. We were therefore interested in investigating whether appropriately trained, community-based assessment of patient records could assist in defining disease progression using clinical severity scores. In this study we evolved a secure, step wise process to show that pre-existing medical records may be correctly assessed by non-clinical practitioners trained to quantify disease progression. Sixty-four undergraduate students at the University of Notre Dame were expertly trained in clinical disease assessment and recognition of major and minor symptoms of NPC. Seven clinical records, randomly selected from a total of thirty seven used to establish a leading clinical severity scale, were correctly assessed to show expected characteristics of linear disease progression. Student assessment of two new records donated by NPC families to our study also revealed linear progression of disease, but both showed accelerated disease progression, relative to the current severity scale, especially at the later stages. Together, these data suggest that college students may be trained in assessment of patient records, and thus provide insight into the natural history of a disease.
    MeSH term(s) Aptitude ; Disease Progression ; Education, Medical, Undergraduate ; Educational Measurement ; Humans ; Medical Records ; Niemann-Pick Disease, Type C/diagnosis ; Niemann-Pick Disease, Type C/pathology ; Seasons ; Severity of Illness Index ; Students
    Language English
    Publishing date 2011-10-03
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0023666
    Database MEDical Literature Analysis and Retrieval System OnLINE

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