The value of triglyceride glucose-body mass index, fasting blood glucose to HDL-C ratio, and platelet to HDL-C ratio in predicting abdominal aortic calcification in maintenance hemodialysis patients

The triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and platelet (PLT) to HDL-C ratio (PHR) are well-established markers of insulin resistance (IR), closely linked to cardiovascular and cerebrovascular diseases....

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Published inRenal failure Vol. 47; no. 1; p. 2505699
Main Authors Chen, Shanshan, Cao, Qianqian, Bu, Shuangshan, Xu, Lingyuan, Zhou, Zijun, Wu, Yuemeng, Zheng, Huanhuan
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Published England Taylor & Francis 01.12.2025
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Abstract The triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and platelet (PLT) to HDL-C ratio (PHR) are well-established markers of insulin resistance (IR), closely linked to cardiovascular and cerebrovascular diseases. Abdominal aortic calcification (AAC), a key indicator of subclinical atherosclerotic, is highly prevalent in maintenance hemodialysis (MHD) patients. This study aimed to explore the cross-sectional relationship between these IR indices and AAC in MHD patients and identify the most reliable predictive marker. We recruited 391 MHD patients from two hemodialysis medical centers, with 297 meeting the inclusion criteria. AAC was detected via X-ray scanning of the lumbar spine, quantified by the Kauppila scoring system. Receiver operating characteristic (ROC) curve analysis determined optimal cutoff values for dividing the subjects into high-index and low-index groups. Multivariable logistic regression models evaluated the association between AAC and these IR indices. The prevalence of AAC in the whole group was 72.4%. The occurrence of AAC in the high-index group was significantly higher than that in the low-index group. Among the three IR indices, PHR demonstrated the highest predictive stability when integrated into a combined model. Subgroup analyses confirmed the robustness of this association across different age groups, sex, hypertension levels, comorbidities (CVD and stroke history), and smoking status. TyG-BMI, GHR and PHR were independently associated with the presence of AAC among MHD patients. Notably, PHR showed the strongest correlation with AAC, suggesting its potential clinical utility in risk stratification.
AbstractList Background The triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and platelet (PLT) to HDL-C ratio (PHR) are well-established markers of insulin resistance (IR), closely linked to cardiovascular and cerebrovascular diseases. Abdominal aortic calcification (AAC), a key indicator of subclinical atherosclerotic, is highly prevalent in maintenance hemodialysis (MHD) patients. This study aimed to explore the cross-sectional relationship between these IR indices and AAC in MHD patients and identify the most reliable predictive marker.Methods We recruited 391 MHD patients from two hemodialysis medical centers, with 297 meeting the inclusion criteria. AAC was detected via X-ray scanning of the lumbar spine, quantified by the Kauppila scoring system. Receiver operating characteristic (ROC) curve analysis determined optimal cutoff values for dividing the subjects into high-index and low-index groups. Multivariable logistic regression models evaluated the association between AAC and these IR indices.Results The prevalence of AAC in the whole group was 72.4%. The occurrence of AAC in the high-index group was significantly higher than that in the low-index group. Among the three IR indices, PHR demonstrated the highest predictive stability when integrated into a combined model. Subgroup analyses confirmed the robustness of this association across different age groups, sex, hypertension levels, comorbidities (CVD and stroke history), and smoking status.Conclusion TyG-BMI, GHR and PHR were independently associated with the presence of AAC among MHD patients. Notably, PHR showed the strongest correlation with AAC, suggesting its potential clinical utility in risk stratification.
The triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and platelet (PLT) to HDL-C ratio (PHR) are well-established markers of insulin resistance (IR), closely linked to cardiovascular and cerebrovascular diseases. Abdominal aortic calcification (AAC), a key indicator of subclinical atherosclerotic, is highly prevalent in maintenance hemodialysis (MHD) patients. This study aimed to explore the cross-sectional relationship between these IR indices and AAC in MHD patients and identify the most reliable predictive marker. We recruited 391 MHD patients from two hemodialysis medical centers, with 297 meeting the inclusion criteria. AAC was detected via X-ray scanning of the lumbar spine, quantified by the Kauppila scoring system. Receiver operating characteristic (ROC) curve analysis determined optimal cutoff values for dividing the subjects into high-index and low-index groups. Multivariable logistic regression models evaluated the association between AAC and these IR indices. The prevalence of AAC in the whole group was 72.4%. The occurrence of AAC in the high-index group was significantly higher than that in the low-index group. Among the three IR indices, PHR demonstrated the highest predictive stability when integrated into a combined model. Subgroup analyses confirmed the robustness of this association across different age groups, sex, hypertension levels, comorbidities (CVD and stroke history), and smoking status. TyG-BMI, GHR and PHR were independently associated with the presence of AAC among MHD patients. Notably, PHR showed the strongest correlation with AAC, suggesting its potential clinical utility in risk stratification.
The triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and platelet (PLT) to HDL-C ratio (PHR) are well-established markers of insulin resistance (IR), closely linked to cardiovascular and cerebrovascular diseases. Abdominal aortic calcification (AAC), a key indicator of subclinical atherosclerotic, is highly prevalent in maintenance hemodialysis (MHD) patients. This study aimed to explore the cross-sectional relationship between these IR indices and AAC in MHD patients and identify the most reliable predictive marker.BACKGROUNDThe triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and platelet (PLT) to HDL-C ratio (PHR) are well-established markers of insulin resistance (IR), closely linked to cardiovascular and cerebrovascular diseases. Abdominal aortic calcification (AAC), a key indicator of subclinical atherosclerotic, is highly prevalent in maintenance hemodialysis (MHD) patients. This study aimed to explore the cross-sectional relationship between these IR indices and AAC in MHD patients and identify the most reliable predictive marker.We recruited 391 MHD patients from two hemodialysis medical centers, with 297 meeting the inclusion criteria. AAC was detected via X-ray scanning of the lumbar spine, quantified by the Kauppila scoring system. Receiver operating characteristic (ROC) curve analysis determined optimal cutoff values for dividing the subjects into high-index and low-index groups. Multivariable logistic regression models evaluated the association between AAC and these IR indices.METHODSWe recruited 391 MHD patients from two hemodialysis medical centers, with 297 meeting the inclusion criteria. AAC was detected via X-ray scanning of the lumbar spine, quantified by the Kauppila scoring system. Receiver operating characteristic (ROC) curve analysis determined optimal cutoff values for dividing the subjects into high-index and low-index groups. Multivariable logistic regression models evaluated the association between AAC and these IR indices.The prevalence of AAC in the whole group was 72.4%. The occurrence of AAC in the high-index group was significantly higher than that in the low-index group. Among the three IR indices, PHR demonstrated the highest predictive stability when integrated into a combined model. Subgroup analyses confirmed the robustness of this association across different age groups, sex, hypertension levels, comorbidities (CVD and stroke history), and smoking status.RESULTSThe prevalence of AAC in the whole group was 72.4%. The occurrence of AAC in the high-index group was significantly higher than that in the low-index group. Among the three IR indices, PHR demonstrated the highest predictive stability when integrated into a combined model. Subgroup analyses confirmed the robustness of this association across different age groups, sex, hypertension levels, comorbidities (CVD and stroke history), and smoking status.TyG-BMI, GHR and PHR were independently associated with the presence of AAC among MHD patients. Notably, PHR showed the strongest correlation with AAC, suggesting its potential clinical utility in risk stratification.CONCLUSIONTyG-BMI, GHR and PHR were independently associated with the presence of AAC among MHD patients. Notably, PHR showed the strongest correlation with AAC, suggesting its potential clinical utility in risk stratification.
Author Zheng, Huanhuan
Chen, Shanshan
Bu, Shuangshan
Xu, Lingyuan
Cao, Qianqian
Zhou, Zijun
Wu, Yuemeng
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Keywords fasting blood glucose to high-density lipoprotein cholesterol ratio
insulin resistance
platelet to high-density lipoprotein cholesterol ratio
Abdominal aortic calcification
triglyceride glucose-body mass index
Language English
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This research is one of the achievements of the following projects: Jinhua Major (Key) Science and Technology Program (No.2022-3-024); Zhejiang Province Medical and Health Science and Technology Program (No.2025KY412).
Supplemental data for this article can be accessed online at https://doi.org/10.1080/0886022X.2025.2505699.
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Snippet The triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and platelet (PLT)...
Background The triglyceride glucose-body mass index (TyG-BMI), fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) ratio (GHR), and...
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SubjectTerms Abdominal aortic calcification
Adult
Aged
Aorta, Abdominal - diagnostic imaging
Aorta, Abdominal - pathology
Aortic Diseases - blood
Aortic Diseases - epidemiology
Biomarkers - blood
Blood Glucose - analysis
Blood Platelets
Body Mass Index
Cholesterol, HDL - blood
Cross-Sectional Studies
Fasting - blood
fasting blood glucose to high-density lipoprotein cholesterol ratio
Female
Hemodialysis and Peritoneal Dialysis
Humans
Insulin Resistance
Kidney Failure, Chronic - blood
Kidney Failure, Chronic - complications
Kidney Failure, Chronic - therapy
Male
Middle Aged
platelet to high-density lipoprotein cholesterol ratio
Predictive Value of Tests
Prevalence
Renal Dialysis - adverse effects
Risk Factors
ROC Curve
triglyceride glucose-body mass index
Triglycerides - blood
Vascular Calcification - blood
Vascular Calcification - diagnosis
Vascular Calcification - epidemiology
Vascular Calcification - etiology
Title The value of triglyceride glucose-body mass index, fasting blood glucose to HDL-C ratio, and platelet to HDL-C ratio in predicting abdominal aortic calcification in maintenance hemodialysis patients
URI https://www.ncbi.nlm.nih.gov/pubmed/40419409
https://www.proquest.com/docview/3212121080
https://pubmed.ncbi.nlm.nih.gov/PMC12107666
https://doaj.org/article/96848389aa83423888dab708791194e4
Volume 47
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