Literature DB >> 30253400

Plasmapheresis Therapy in Kidney Transplant Rejection.

Pan Xie1,2, Min Tao3, Kanfu Peng4, Hongwen Zhao1, Keqin Zhang1, Yuxiu Sheng1, Ghada Ankawi2,5, Claudio Ronco6,2.   

Abstract

Kidney transplantation (KT) is considered an optimal treatment strategy for end-stage renal disease. But human leukocyte antigen-sensitized, ABO-incompatible and antibody-mediated rejection might be the alarming hurdles in KT. Therapeutic plasma exchange is the mainstay of the antibody reduction therapy for reducing autoantibody more effectively. Even in the treatment for highly sensitized patients, it has played an indispensable role. However, clinicians should tailor therapies to individual patient's needs and multimodal treatment will bring better outcomes. Early diagnosis and precise treatment would reduce morbidity, mortality, and economic costs.
© 2018 S. Karger AG, Basel.

Entities:  

Keywords:  ABO-incompatible; Antibody-mediated rejection; Donor-specific antibody(-ies); Human leukocyte antigen; Incompatible live donor kidney transplantation; Kidney transplantation; Therapeutic plasma exchange

Mesh:

Substances:

Year:  2018        PMID: 30253400     DOI: 10.1159/000493521

Source DB:  PubMed          Journal:  Blood Purif        ISSN: 0253-5068            Impact factor:   2.614


  3 in total

Review 1.  Therapeutic apheresis in kidney diseases: an updated review.

Authors:  Yi-Yuan Chen; Xin Sun; Wei Huang; Fang-Fang He; Chun Zhang
Journal:  Ren Fail       Date:  2022-12       Impact factor: 3.222

2.  Risk Factors for Extended-Spectrum β-lactamase-Producing Enterobacterales Bloodstream Infection Among Solid-Organ Transplant Recipients.

Authors:  Judith A Anesi; Ebbing Lautenbach; Pranita D Tamma; Kerri A Thom; Emily A Blumberg; Kevin Alby; Warren B Bilker; Alissa Werzen; Pam Tolomeo; Jacqueline Omorogbe; Lisa Pineles; Jennifer H Han
Journal:  Clin Infect Dis       Date:  2021-03-15       Impact factor: 9.079

3.  A possibilistic-robust-fuzzy programming model for designing a game theory based blood supply chain network.

Authors:  Peiman Ghasemi; Fariba Goodarzian; Ajith Abraham; Saeed Khanchehzarrin
Journal:  Appl Math Model       Date:  2022-08-05       Impact factor: 5.336

  3 in total

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