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Metabolic-Related Index to Predict Post-Transplantation Diabetes Mellitus After Kidney Transplantation
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AbstractMetabolic-related markers are novel tools for assessing insulin resistance. Early
identification of post-transplantation diabetes mellitus (PTDM) before
hyperglycemia can be helpful to attenuate the rapid development of diabetic
complications. This article aims to explore the convenient and inexpensive
values of metabolic-related markers, including TyG, TyG-BMI, TG/HDL-C,
and non-HDL-C/HDL-C for predicting PTDM. The data of 191 kidney
transplant recipients in our center were collected retrospectively. The
association between TyG, TyG-BMI, TG/HDL-C, non-HDL-C/HDL-C and
the risk of PTDM was examined by the area under the curve and logistic
regression analyses. During 6 months follow-up, 12.04% of KT recipients
developed PTDM, and significantly higher values of TyG-BMI, TyG, and
non-HDL-C/HDL-C was found in patients with PTDM than in nondiabetic
patients, especially among the recipients taking tacrolimus, regardless of
gender. The incidence of PTDM increased along with the values of TyG or TyG-BMI.
After adjusting for multiple potential factors, recipients with the highest
trisector of TyG or TyG-BMI still had a higher risk of PTDM morbidity. In
conclusion, TyG, TyG-BMI, TG/HDL-C and non-HDL-C/HDL-C can be
used as cost-effective and promising monitors to identify individuals at high
risk of PTDM, and TyG-BMI was the best alternative marker among the four
markers.
Georg Thieme Verlag KG
Title: Metabolic-Related Index to Predict Post-Transplantation Diabetes
Mellitus After Kidney Transplantation
Description:
AbstractMetabolic-related markers are novel tools for assessing insulin resistance.
Early
identification of post-transplantation diabetes mellitus (PTDM) before
hyperglycemia can be helpful to attenuate the rapid development of diabetic
complications.
This article aims to explore the convenient and inexpensive
values of metabolic-related markers, including TyG, TyG-BMI, TG/HDL-C,
and non-HDL-C/HDL-C for predicting PTDM.
The data of 191 kidney
transplant recipients in our center were collected retrospectively.
The
association between TyG, TyG-BMI, TG/HDL-C, non-HDL-C/HDL-C and
the risk of PTDM was examined by the area under the curve and logistic
regression analyses.
During 6 months follow-up, 12.
04% of KT recipients
developed PTDM, and significantly higher values of TyG-BMI, TyG, and
non-HDL-C/HDL-C was found in patients with PTDM than in nondiabetic
patients, especially among the recipients taking tacrolimus, regardless of
gender.
The incidence of PTDM increased along with the values of TyG or TyG-BMI.
After adjusting for multiple potential factors, recipients with the highest
trisector of TyG or TyG-BMI still had a higher risk of PTDM morbidity.
In
conclusion, TyG, TyG-BMI, TG/HDL-C and non-HDL-C/HDL-C can be
used as cost-effective and promising monitors to identify individuals at high
risk of PTDM, and TyG-BMI was the best alternative marker among the four
markers.
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