Postoperative fasting plasma glucose and family history diabetes mellitus can predict post-transplantation diabetes mellitus in kidney transplant recipients

  • Le Wang
  • , Jin Huang
  • , Yajuan Li
  • , Kewei Shi
  • , Sai Gao
  • , Wangcheng Zhao
  • , Shanshan Zhang
  • , Chenguang Ding
  • , Wei Gao

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Purpose: To explore whether glycated albumin (GA) or fasting plasma glucose (FPG), both routinely monitored during patients’ hospital stay, can be used to predict post-transplantation diabetes mellitus (PTDM). Methods: All kidney transplantation recipients (KTRs) from January 2017 to December 2018 were followed-up for 1 year. PTDM was diagnosed from day 45 post-operation to 1 year. When the completeness was above 80%, FPG or GA data on the day was selected, analyzed, and presented as range parameters and standard deviation (SD) and compared between PTDM and non-PTDM groups in fluctuation and stable periods. The predictive cut-off values were determined via receiver operating characteristic (ROC) analysis. The PTDM combined predictive mode, formed by the independent risk factors derived from logistic regression analyses, was compared with each independent risk factor with the independent ROC curve test. Results: Among 536 KTRs, 38 patients developed PTDM up to 1 year post-operatively. The family history diabetes mellitus (OR, 3.21; P = 0.035), the FPG SD in fluctuation period >2.09 mmol/L (OR, 3.06; P = 0.002), and the FPG maximum in stable period >5.08 mmol/L (OR, 6.85; P < 0.001) were the PTDM independent risk factors. The discrimination of the combined mode (area under the curve = 0.81, sensitivity = 73.68%, and specificity = 76.31%) was higher than each prediction (P < 0.05). Conclusions: The FPG standard deviation during the fluctuation period, FPG maximum during the stable period, and family history diabetes mellitus predicted PTDM with good discrimination and potential routine clinical use.

Original languageEnglish
Pages (from-to)58-66
Number of pages9
JournalEndocrine
Volume81
Issue number1
DOIs
StatePublished - Jul 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Family history diabetes mellitus
  • Fasting plasma glucose
  • Glycated albumin
  • Kidney transplantation recipients
  • Post-transplantation diabetes mellitus

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