TY - JOUR
T1 - Relationship between four insulin resistance surrogates and regression to normoglycemia from prediabetes among Chinese adults
T2 - A longitudinal Cohort Study
AU - Yang, Lijun
AU - Feng, Yanjing
AU - Wang, Yu
AU - Liu, Chang
AU - Gao, Dengfeng
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024/12
Y1 - 2024/12
N2 - Purpose: We aimed to investigate the association of the triglyceride glucose-body mass index(TyG-BMI), metabolic score for insulin resistance (METS-IR) with regression to normoglycaemia, and further to compare the value of the four insulin resistance(IR) related indices(TyG-BMI, METS-IR, TyG and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio) in identifying regressions to normoglycaemia from prediabetes. Methods: A total of 15,025 patients with prediabetes from the DATA-DRYAD database were included. Cox proportional hazards regression models and restricted cubic spline functions were performed to explore the association and nonlinearity between the indices with the incidence rate of normoglycaemia. Sensitivity and subgroup analyses evaluated the robustness of our findings. Results: Compared with the first quintile, TyG-BMI and METS-IR was negatively linked with the probability of regression to normoglycaemia from prediabetes, the adjusted effect size of the highest quintiles of METS-IR were the most obvious (HR:0.456,95% CI:0.4–0.519), followed by TG/HDL (HR:0.792, 95% CI:0.733–0.856), TyG-BMI (HR:0.816, 95% CI:0.73–0.911) and TyG (HR:0.841, 95% CI: 0.754–0.937) (all p for trend <0.001). A 1.0 SD increase in METS-IR induced a 43% decrease in the probability of regression to normoglycaemia, with 9.8% for TyG-BMI. There were nonlinear associations between TyG-BMI and METS-IR and outcomes, with the inflection point of the TyG-BMI being 218.2 and that of the METS-IR being 37. Conclusions: The METS-IR might be the most superior indicator among the four non-insulin indices in identifying regressions to normoglycaemia from prediabetes in clinical application. The inflection points of the METS-IR and TyG-BMI may be instructive therapeutic points for assessing the status of prediabetes in advance and making more appropriate management and health care decisions.
AB - Purpose: We aimed to investigate the association of the triglyceride glucose-body mass index(TyG-BMI), metabolic score for insulin resistance (METS-IR) with regression to normoglycaemia, and further to compare the value of the four insulin resistance(IR) related indices(TyG-BMI, METS-IR, TyG and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio) in identifying regressions to normoglycaemia from prediabetes. Methods: A total of 15,025 patients with prediabetes from the DATA-DRYAD database were included. Cox proportional hazards regression models and restricted cubic spline functions were performed to explore the association and nonlinearity between the indices with the incidence rate of normoglycaemia. Sensitivity and subgroup analyses evaluated the robustness of our findings. Results: Compared with the first quintile, TyG-BMI and METS-IR was negatively linked with the probability of regression to normoglycaemia from prediabetes, the adjusted effect size of the highest quintiles of METS-IR were the most obvious (HR:0.456,95% CI:0.4–0.519), followed by TG/HDL (HR:0.792, 95% CI:0.733–0.856), TyG-BMI (HR:0.816, 95% CI:0.73–0.911) and TyG (HR:0.841, 95% CI: 0.754–0.937) (all p for trend <0.001). A 1.0 SD increase in METS-IR induced a 43% decrease in the probability of regression to normoglycaemia, with 9.8% for TyG-BMI. There were nonlinear associations between TyG-BMI and METS-IR and outcomes, with the inflection point of the TyG-BMI being 218.2 and that of the METS-IR being 37. Conclusions: The METS-IR might be the most superior indicator among the four non-insulin indices in identifying regressions to normoglycaemia from prediabetes in clinical application. The inflection points of the METS-IR and TyG-BMI may be instructive therapeutic points for assessing the status of prediabetes in advance and making more appropriate management and health care decisions.
KW - METS-IR
KW - Normoglycaemia
KW - Prediabetes
KW - TG/HDL-C
KW - TyG
KW - TyG-BMI
UR - https://www.scopus.com/pages/publications/85197489169
U2 - 10.1007/s12020-024-03947-5
DO - 10.1007/s12020-024-03947-5
M3 - 文章
C2 - 38965137
AN - SCOPUS:85197489169
SN - 1355-008X
VL - 86
SP - 980
EP - 993
JO - Endocrine
JF - Endocrine
IS - 3
ER -
