The triglyceride glucose index as a sensitive predictor for the risk of MACCEs in patients with diabetic foot ulcers: An ambispective longitudinal cohort study

Wei, Rongyan; Chen, Shangyu; Huang, Xiuxian; Zhai, Zhenwei; Wang, Qiu; Sun, Jingxia; Mo, Jianming; Huang, Jianhao; Xu, Yancheng; Lu, Wensheng

doi:10.1111/iwj.14874

Cited by 4 publications

(1 citation statement)

References 57 publications

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“…According to a variety of research, individuals with DM may benefit from using the triglyceride-glucose index (TyG), a surrogate marker of insulin resistance [ 12 , 13 ], and urine albumin-creatinine ratio (UACR), employed to detect microalbuminuria and nephropathy in a patient with DM [ 14 , 15 ] as risk factors for CVD in patients with DM. Recent machine-learning research has identified phosphate, blood urea nitrogen, troponin, and specific electrolytes as predictive factors for CVD in individuals with diabetes mellitus (DM) [ 16 ].…”

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confidence: 99%

Evaluation of Cardiovascular Disease Risk in Patients with Type 2 Diabetes Mellitus Using Clinical Laboratory Markers

Ulambayar,

Ghanem,

Chau

et al. 2024

JCM

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Background: Cardiovascular diseases (CVD) are the main cause of death in the population with diabetes mellitus. This study purposed to determine clinical laboratory markers that might be correlated with the risk of CVD in individuals with type 2 diabetes mellitus (T2DM). Methods: Using data from the Clinical Center of the University of Debrecen from 2016 to 2020, we assessed cardiovascular risk in 5593 individuals with T2DM over a five-year follow-up period. There were 347 new cases of acute myocardial infarction (AMI) and stroke during the period. Following the stratification of these individuals into two groups according to the diagnosis of these CVDs until 2020, the risk of these CVDs was assessed through the utilization of the Chi-square test and Cox proportional hazards regression. Results: The findings of the Cox proportional hazards regression model showed that the number of HbA1C measurements per year (HR = 0.46, 95% CI 0.31–0.7), decreased levels of estimated glomerular filtration rate (eGFR) (HR = 1.6, 95% CI 1.04–2.47), and elevated triglyceride levels (HR = 1.56, 95% CI 1.06–2.29) were correlated with CVD in patients with T2DM. The area under the curve (AUC) was increased from 0.557 (95% CI 0.531–0.582) to 0.628 (95% CI 0.584–0.671) after the inclusion of the laboratory variables into the model showing improved discrimination for AMI and stroke. Conclusions: These findings indicated that eGFR, triglyceride, and the number of HbA1C per year are correlated with AMI and stroke in patients with T2DM.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Cardiovascular Disease Risk in Patients with Type 2 Diabetes Mellitus Using Clinical Laboratory Markers

Ulambayar,

Ghanem,

Chau

et al. 2024

JCM

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Red cell distribution width/albumin ratio as a marker for metabolic syndrome: findings from a cross-sectional study

Guo,

Wang,

Miao

et al. 2024

BMC Endocr Disord

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Background Metabolic syndrome (MetS) imposes a significant health burden on patients globally. Chronic low-grade inflammation is pivotal in the onset and progression of this condition. However, the role of the novel inflammatory marker, red cell distribution width to albumin ratio (RAR), in the development of MetS remains unclear. Methods This population-based cross-sectional study utilized data from the 2011–2020 National Health and Nutrition Examination Survey (NHANES). Participants included individuals over 18 years old with complete data on serum albumin concentration, red cell distribution, and MetS and its components. MetS was defined using the criteria established by the National Cholesterol Education Program Adult Treatment Panel III. The calculation formula for RAR is: RAR = Red cell distribution width (%)/serum albumin (g/dL). Study participants were stratified into four quartiles based on RAR levels. Logistic regression analysis and subgroup analysis were employed to explore the independent interaction between RAR and MetS, as well as investigate the relationship between RAR levels and the specific components of MetS. Finally, the receiver operating characteristic (ROC) curve was used to assess the predictive efficacy of RAR for MetS. Results A total of 4899 participants were included in this study, comprising 2450 males and 2449 females; 1715 individuals (35.01%) were diagnosed with MetS. As the quartile of RAR increased, the proportion of individuals with MetS also increased. Spearman correlation analysis indicated a positive correlation between RAR and the insulin resistance index HOMA-IR. Logistic regression analysis, adjusting for multiple confounding factors, showed that each standard deviation increase in RAR was associated with a significant 1.665-fold increase (95% CI, 1.404–1.975; P < 0.001) in the odds of MetS prevalence. In logistic regression analysis stratified by quartiles of RAR, the risks of MetS in Q1-Q4 were 1.372 (95% CI, 1.105–1.704; P = 0.004), 1.783 (95% CI, 1.434–2.216; P < 0.001), and 2.173 (95% CI, 1.729–2.732; P < 0.001), respectively. Subgroup analyses and interaction tests demonstrated that gender, age, race, education, smoking status, and physical activity modified the positive association between RAR and MetS ( p for interaction < 0.05). Additionally, analysis of the area under the receiver operating characteristic (ROC) curve showed that the optimal cutoff value for predicting MetS using RAR was 3.1348 (sensitivity: 59.9%; specificity: 60.6%; and AUC: 0.628). Conclusions Increasing RAR levels are associated with a higher risk of MetS. Therefore, greater attention should be given to patients with high RAR levels for improved prevention and treatment of MetS.

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The Monocyte-to-High-Density Lipoprotein Cholesterol Ratio as a Novel Predictor of the Prevalence of Senile Osteoporosis

Lin,

Li,

Lin

et al. 2024

CIA

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Purpose The prevalence of osteoporosis in elderly individuals is high, and osteoporosis is strongly associated with chronic inflammation. The monocyte-to-high-density lipoprotein ratio (MHR) is acknowledged as a marker for assessing systemic inflammation and oxidative stress, and changes in the MHR are associated with many chronic disease prevalent among the elderly population. This study investigated the relationships between the MHR and the incidence of osteoporosis in older adults, along with its predictive value. Patients and Methods Data from 563 participants aged ≥70 years were retrospectively analysed. The haematological parameters were evaluated via established methodologies, utilizing fasting blood samples collected from the participants. The absolute monocyte count was used to calculate the MHR (MHR=monocyte/HDL-C). BMD was measured by dual-energy X-ray absorptiometry. The results were evaluated via comparative statistical analyses, Spearman correlation, logistic regression analyses, and receiver operating characteristic (ROC) curve analysis. Results The differences in the MHR were statistically significant among the osteoporosis groups ( p < 0.001). Spearman correlation analysis revealed a positive correlation between the MHR and BMD. Furthermore, stratifying the sample into four groups on the basis of quartiles of MHR (M1, M2, M3, and M4) revealed a decreased risk of osteoporosis in the highest quartile compared with the lowest quartile ( p <0.001). Multiple logistic regression analysis revealed that BMI and the MHR were independent risk factors for osteoporosis. The area under the ROC curve and the cut-off value of the MHR were 0.710 and 0.308(10 9 /mmol), with specificity and sensitivity of 0.599 and 0.735, respectively (95% CI: 0.668~0.752, p < 0.0001). Conclusion A low MHR was associated with a greater risk of senile osteoporosis. In clinical practice, the MHR has shown predictive value for senile osteoporosis, contributing to early intervention and treatment of this disease.

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The triglyceride glucose index as a sensitive predictor for the risk of MACCEs in patients with diabetic foot ulcers: An ambispective longitudinal cohort study

Cited by 4 publications

References 57 publications

Evaluation of Cardiovascular Disease Risk in Patients with Type 2 Diabetes Mellitus Using Clinical Laboratory Markers

Evaluation of Cardiovascular Disease Risk in Patients with Type 2 Diabetes Mellitus Using Clinical Laboratory Markers

Red cell distribution width/albumin ratio as a marker for metabolic syndrome: findings from a cross-sectional study

The Monocyte-to-High-Density Lipoprotein Cholesterol Ratio as a Novel Predictor of the Prevalence of Senile Osteoporosis

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