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Associations of the triglyceride-glucose index and atherogenic index of plasma with the severity of new-onset coronary artery disease in different glucose metabolic states.
Wu, Xiaosheng; Qiu, Weiping; Yang, Huancheng; Chen, Yan-Jun; Liu, Jianling; Zhao, Guojun.
Afiliación
  • Wu X; Affiliated Qingyuan Hospital, Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, Guangdong, China.
  • Qiu W; Guangzhou Medical University, Guangzhou, China.
  • Yang H; Affiliated Qingyuan Hospital, Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, Guangdong, China.
  • Chen YJ; Department of Radiology, The Third Affiliated Hospital of Shenzhen University (Luohu Hospital Group), Shenzhen, 518000, China.
  • Liu J; Shantou University Medical College, Shantou University, Shantou, 515000, China.
  • Zhao G; Department of Pathology, Southwest Hospital, Third Military Medical University, Chongqing, 400038, People's Republic of China.
Cardiovasc Diabetol ; 23(1): 76, 2024 02 20.
Article en En | MEDLINE | ID: mdl-38378553
ABSTRACT

BACKGROUND:

The triglyceride-glucose (TyG) index is considered a dependable biomarker for gauging insulin resistance. The atherogenic index of plasma (AIP) represents a marker reflecting atherosclerosis. However, there is currently no study specifically exploring the associations of these two biomarkers with the severity of new-onset coronary artery disease (CAD) under different glucose metabolic states. Therefore, this study aims to evaluate the correlations of these two biomarkers with CAD severity in patients newly diagnosed with CAD under various glucose metabolism conditions.

METHOD:

Totally 570 subjects first administered coronary angiography were enrolled, including 431 first diagnosed CAD patients and 139 non-CAD patients. CAD severity  was gauged by the quantity of narrowed arteries (single-vessel and multi-vessel CAD). According to WHO diabetes guidelines, glucose metabolic states were divided into normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM). The relationships of the TyG index and AIP with CAD severity were validated by logistic regression analysis, including adjustment for traditional cardiovascular risk elements and medical treatments. Their predictive efficacy for CAD was evaluated by receiver operating characteristic (ROC) curves.

RESULT:

The TyG index and AIP were independently correlated with CAD in accordance with logistic regression analysis (both P < 0.05). Regardless of the glucose metabolic states, there was no statistical correlation between the TyG index and CAD severity. However, AIP in NGR patients was significantly related to CAD severity (P < 0.05). The areas under the curve of the TyG index and AIP for predicting CAD were 0.682 and 0.642 (both P < 0.001), respectively, and their optimal cut-off values were 3.210 (Youden index 0.305) and 0.095 (Youden index0.246), respectively.

CONCLUSION:

The TyG index and AIP have significant associations with CAD. The TyG index had no association with CAD severity, regardless of glucose metabolic states. AIP exhibited a discernible link with CAD severity in NGR patients, but not in the pre-DM or DM populations. The TyG index and AIP have similar predictive values for new-onset CAD.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Diabetes Mellitus Límite: Humans Idioma: En Revista: Cardiovasc Diabetol Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / ENDOCRINOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Diabetes Mellitus Límite: Humans Idioma: En Revista: Cardiovasc Diabetol Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / ENDOCRINOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China