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Investigación Clínica

versión impresa ISSN 0535-5133versión On-line ISSN 2477-9393

Resumen

DONG, Yuan. Influencing factors of post-transplantation diabetes mellitus in kidney transplant recipients and establishment of a risk prediction model. Invest. clín [online]. 2023, vol.64, n.4, pp.460-470.  Epub 22-Dic-2023. ISSN 0535-5133.  https://doi.org/10.54817/ic.v64n4a03.

The aim was to explore the influencing factors of post-transplantation diabetes mellitus (PTDM) in kidney transplant recipients and to establish a risk prediction model. A retrospective analysis was performed on the clinical data of 408 patients subjected to kidney transplantation from May 2015 to March 2022. With the simple random sampling method, they were divided into a training set (n=306) and a test set (n=102) at a ratio of 3:1. According to the occurrence of PTDM, the training set was further classified into PTDM and non-PTDM groups. The influencing factors of PTDM were identified by least absolute shrinkage and selection operator and multivariate logistic regression analysis. A nomogram prediction model was constructed and validated. Non-PTDM and PTDM groups had significantly different preoperative body mass index (BMI), family history of diabetes mellitus, 2-h preoperative and postprandial blood glucose, 2-h preoperative and postprandial peptide index, postoperative hypomagnesemia, whole blood concentration of tacrolimus, triacylglycerol, glycated albumin and fasting blood glucose (P<0.05). BMI, family history of diabetes mellitus, 2-h preoperative and postprandial blood glucose, and post- operative whole blood tacrolimus concentration were independent risk factors for PTDM. In contrast, the 2-h preoperative and postprandial peptide index was an independent protective factor (P<0.05). The incidence of PTDM in patients receiving kidney transplantation correlates with the family history of diabetes mellitus, preoperative BMI, 2-h postprandial blood glucose, 2-h postprandial peptide index, and postoperative whole blood tacrolimus concentration.

Palabras clave : kidney transplant; diabetes mellitus; influencing factor; prediction model.

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