The world congress on insulin resistance, diabetes, and cardiovascular disease (<scp>WCIRDC</scp>)

Bloomgarden, Zachary T.

doi:10.1111/1753-0407.13260

Cited by 1 publication

(1 citation statement)

References 51 publications

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“…Recent study results strongly suggested that TyG index may be used as a useful risk predictor to assess the long-term outcomes in acute ischemic stroke patients with DM [ 21 ]. Previous studies have found that TyG index, METS-IR, TyG-BMI index, and TG/HDL-C ratio are not only valid indicators for assessing IR, but also may be associated with cardiovascular diseases [ 22 , 23 ]. A study meta-analysis showed that higher levels of IR were associated with higher risk of heart failure after adjusting other risk factors.…”

Section: Discussionmentioning

confidence: 99%

Non-insulin-based insulin resistance indexes in predicting atrial fibrillation recurrence following ablation: a retrospective study

Wang,

He,

Xie

et al. 2024

Cardiovasc Diabetol

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Background Insulin resistance (IR) is involved in the pathophysiological processes of arrhythmias. Increasing evidence suggests triglyceride and glucose (TyG) index, metabolic score for insulin resistance (METS-IR), triglyceride glucose-body mass index (TyG-BMI), and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio are simple and reliable surrogates for IR. Although they have been associated with atrial fibrillation (AF), evidence supporting this is limited. Here, this is the first study to investigate the association between TyG-BMI index and AF recurrence following radiofrequency catheter ablation (RFCA). The performance of the four non-insulin-based IR indexes in predicting AF recurrence after ablation was explored. Methods A total of 2242 AF patients who underwent a de novo RFCA between June 2018 to January 2022 at two hospitals in China were included in this retrospective study. The predictive values of IR indexes for AF recurrence after ablation were assessed. Results During 1-year follow-up, 31.7% of patients experienced AF recurrence. The multivariable analysis revealed that TyG index, METS-IR, and TyG-BMI index were independent risk factors for AF recurrence. Restricted cubic spline analysis revealed a connection between METS-IR, TyG-BMI index, and AF recurrence (P < 0.001). Furthermore, incorporating the METS-IR or TyG-BMI index to the basic risk model with fully adjusted factors considerably enhanced the forecast of AF recurrence, as demonstrated by the C-statistic, continuous net reclassification improvement, and integrated discrimination improvement. Conclusions TyG index, METS-IR, and TyG-BMI index were independently associated with AF recurrence following ablation. Among the four non-insulin-based IR indexes, TyG-BMI had the highest predictive value, followed by METS-IR.

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Section: Discussionmentioning

confidence: 99%