Reynolds L Raymond, Tannock Lisa R
Veterans Affairs Medical Center, Division of Endocrinology, University of Kentucky, Lexington, KY 40536-0298, USA.
Postgrad Med. 2008 Jul;120(2):60-6. doi: 10.3810/pgm.2008.07.1792.
Solid organ transplantation is now the standard of care for end-stage organ failure, and primary care physicians are frequently involved in the follow-up care of transplant recipients. New-onset diabetes mellitus after solid organ transplantation (NODAT) has emerged as an increasingly important determinant of outcomes and survival in transplant recipients. Transplant recipients are at high risk for developing prediabetes and overt diabetes mellitus due to a number of factors, including immunosuppressive therapies. This article presents an algorithmic approach with supporting evidence to provide a rational framework for selecting the appropriate therapy among numerous treatment options. Patient education and self-management are crucial for ensuring a successful outcome post transplantation.
实体器官移植现已成为终末期器官衰竭的标准治疗方法，基层医疗医生经常参与移植受者的后续护理。实体器官移植后新发糖尿病（NODAT）已成为移植受者预后和生存的一个日益重要的决定因素。由于包括免疫抑制治疗在内的多种因素，移植受者发生糖尿病前期和显性糖尿病的风险很高。本文提出了一种基于证据的算法方法，为在众多治疗选择中选择合适的治疗方法提供一个合理的框架。患者教育和自我管理对于确保移植后取得成功的结果至关重要。
