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Cardiovascular

TyG index as a predictor of spontaneous coronary artery dissection in young women

ORCID Icon & ORCID Icon
Pages 669-675 | Received 08 Mar 2023, Accepted 27 Jul 2023, Published online: 01 Aug 2023
 

ABSTRACT

Objective

Spontaneous coronary artery dissection (SCAD) is a rare but potentially life-threatening pathology and cases are especially seen in women under 50 years of age and with relatively fewer cardiovascular risk factors. Although risk factors facilitating the development of SCAD have been defined in the literature, modifiable risk factors remain unclear. In this study, it was aimed to investigate the relationship between the triglyceride glucose index (TyG) and the development of SCAD in the population of young women.

Methods

The results of 281 patients were analyzed and compared with each other in terms of clinical, demographic, laboratory parameters, and coronary angiography results.

Results

The mean age was 45 years and all of them were female. When the groups were compared, the TyG and inflammatory parameters were higher in the SCAD group (p < 0.001). When these two groups with low cardiovascular risk factors were compared in logistic regression analysis, high TyG was found to be an independent predictor of SCAD development in young women (p < 0.001).

Conclusion

As a result, our study shows that the development of these non-atherosclerotic conditions can be predicted by simple biochemical tests in young women with low atherosclerotic cardiovascular risk factors.

Declaration of financial/other relationships

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Author contributions

Conceptualization: Uğur Özkan, Muhammet Gürdoğan; data curation: Uğur Özkan, Muhammet Gürdoğan; formal analysis: Uğur Özkan, Muhammet Gürdoğan; investigation: Uğur Özkan, Muhammet Gürdoğan; methodology: Uğur Özkan, Muhammet Gürdoğan; project administration: Uğur Özkan, Muhammet Gürdoğan; resources: Uğur Özkan, Muhammet Gürdoğan; supervision: Uğur Özkan, Muhammet Gürdoğan; writing-original draft: Uğur Özkan, Muhammet Gürdoğan.

Additional information

Funding

This paper was not funded.

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