PMID- 37906402
OWN - NLM
STAT- MEDLINE
DCOM- 20240404
LR  - 20240404
IS  - 1559-0100 (Electronic)
IS  - 1355-008X (Linking)
VI  - 84
IP  - 1
DP  - 2024 Apr
TI  - Correlation between alternative insulin resistance indexes and diabetic kidney 
      disease: a retrospective study.
PG  - 136-147
LID - 10.1007/s12020-023-03574-6 [doi]
AB  - PURPOSE: This retrospective study aimed to investigate the relationship between 
      alternative insulin resistance (IR) indexes not reliant on insulin and diabetic 
      kidney disease (DKD) incidence in a newly diagnosed cohort of individuals with 
      type 2 diabetes mellitus (T2DM). METHODS: We conducted a retrospective analysis 
      of baseline characteristics in a cohort of 521 individuals with T2DM, then 
      followed up on the outcome of DKD. To assess the predictive ability of IR 
      indexes, we compared the performance of four non-insulin-based IR indexes and the 
      homeostasis model for insulin resistance (HOMA-IR) using logistic regression and 
      consistency-statistics (C-statistics). Furthermore, we computed the net 
      reclassification index (NRI) and integrated discrimination improvement (IDI) to 
      evaluate the additional effects of the indexes. RESULTS: The four alternative IR 
      indexes of DKD patients were significantly higher than those of non-DKD. After 
      adjustment for other variables, the highest tertile of all indexes was 
      significantly related to DKD incidence, compared with the lowest tertile. 
      Furthermore, the C-statistics for the triglyceride-glucose index (TyG index) and 
      triglyceride to high-density lipoprotein ratio (TG/HDL) were all 0.652, while 
      triglyceride glucose-body mass index (TyG-BMI) and metabolic score for insulin 
      resistance (METS-IR) were 0.639 and 0.651, respectively. The incorporation of the 
      alternative IR indexes into the baseline model revealed positive additional 
      effects, leading to an improved prediction of the risk for DKD. CONCLUSIONS: It 
      was discovered that the alternative IR indexes served as independent risk factors 
      of DKD. Among the four alternative indexes, TyG index and TG/HDL had the best 
      prediction performance for DKD, followed by METS-IR.
CI  - (c) 2023. The Author(s), under exclusive licence to Springer Science+Business 
      Media, LLC, part of Springer Nature.
FAU - Mu, Xiaodie
AU  - Mu X
AD  - Department of Nephrology, Third Affiliated Hospital of Soochow University, 
      Changzhou, 213003, China.
FAU - Wu, Aihua
AU  - Wu A
AD  - Department of Nephrology, Third Affiliated Hospital of Soochow University, 
      Changzhou, 213003, China.
FAU - Hu, Huiyue
AU  - Hu H
AD  - Department of Nephrology, Third Affiliated Hospital of Soochow University, 
      Changzhou, 213003, China.
FAU - Yang, Min
AU  - Yang M
AD  - Department of Nephrology, Third Affiliated Hospital of Soochow University, 
      Changzhou, 213003, China. yangmin1516@suda.edu.cn.
FAU - Zhou, Hua
AU  - Zhou H
AUID- ORCID: 0000-0003-0130-8763
AD  - Department of Nephrology, Third Affiliated Hospital of Soochow University, 
      Changzhou, 213003, China. zhouhua2323@suda.edu.cn.
LA  - eng
GR  - 82000684/National Natural Science Foundation of China/
GR  - CE20215024/Changzhou Science and Technology Bureau/
GR  - 2022260/Top Talent of Changzhou 'The 14th Five-Year Plan' High-Level Health 
      Talents Training Project/
PT  - Journal Article
DEP - 20231031
PL  - United States
TA  - Endocrine
JT  - Endocrine
JID - 9434444
RN  - 0 (Blood Glucose)
RN  - 0 (Biomarkers)
RN  - IY9XDZ35W2 (Glucose)
RN  - 0 (Triglycerides)
SB  - IM
MH  - Humans
MH  - *Insulin Resistance
MH  - Retrospective Studies
MH  - *Diabetes Mellitus, Type 2/complications
MH  - *Diabetic Nephropathies
MH  - Blood Glucose/metabolism
MH  - Biomarkers
MH  - Glucose
MH  - Triglycerides
OTO - NOTNLM
OT  - Diabetic kidney disease
OT  - Insulin resistance
OT  - Non-insulin-based insulin resistance indexes.
EDAT- 2023/10/31 18:45
MHDA- 2024/04/04 06:44
CRDT- 2023/10/31 12:12
PHST- 2023/08/12 00:00 [received]
PHST- 2023/10/14 00:00 [accepted]
PHST- 2024/04/04 06:44 [medline]
PHST- 2023/10/31 18:45 [pubmed]
PHST- 2023/10/31 12:12 [entrez]
AID - 10.1007/s12020-023-03574-6 [pii]
AID - 10.1007/s12020-023-03574-6 [doi]
PST - ppublish
SO  - Endocrine. 2024 Apr;84(1):136-147. doi: 10.1007/s12020-023-03574-6. Epub 2023 Oct 
      31.