The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
High triglyceride–glucose index is associated with poor prognosis in patients with acute ST-elevation myocardial infarction after percutaneous coronary intervention
Open accessAbstract
Background: Insulin resistance (IR) is considered a pivotal risk factor for cardiometabolic diseases, and the triglyceride–glucose index (TyG index) has emerged as a reliable surrogate marker of IR. Although several recent studies have shown the association of the TyG index with vascular disease, no studies have further investigated the role of the TyG index in acute ST-elevation myocardial infarction (STEMI). The objective of the present study was to evaluate the potential role of the TyG index as a predictor of prognosis in STEMI patients after percutaneous coronary intervention (PCI). Methods: The study included 1092 STEMI patients who underwent PCI. The patients were divided into 4 quartiles according to TyG index levels. Clinical characteristics, fasting plasma glucose (FPG), triglycerides (TGs), other biochemical parameters, and the incidence of major adverse cardiovascular and cerebral events (MACCEs) during the follow-up period were recorded. The TyG index was calculated using the following formula: ln[fasting TGs (mg/dL) × FPG (mg/dL)/2]. Results: The incidence of MACCEs and all-cause mortality within 30 days, 6 months and 1 year after PCI were higher among STEMI patients with TyG index levels in the highest quartile. The TyG index was significantly associated with an increased risk of MACCEs in STEMI patients within 1 year after PCI, independent of confounding factors, with a value of 1.529 (95% CI 1.001–2.061; P = 0.003) for those in the highest quartile. The area under the curve (AUC) of the TyG index predicting the occurrence of MACCEs in STEMI patients after PCI was 0.685 (95% CI 0.610–0.761; P = 0.001). The results also revealed that Killip class > 1, anaemia, albumin, uric acid, number of stents and left ventricular ejection fraction (LVEF) were independent predictors of MACCEs in STEMI patients after PCI (all P < 0.05). Conclusions: This study indicated an association between higher TyG index levels and increased risk of MACCEs in STEMI patients for the first time, and the TyG index might be a valid predictor of clinical outcomes in STEMI patients undergoing PCI. Trial Registration ChiCTR1900024577.
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Cites
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481
Heart Disease and Stroke Statistics—2012 Update: A Report From the American Heart Association
Writing Group Members, Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., et al. (2012) · Circulation · doi:10.1161/cir.0b013e31823ac046 · Cited by 7,333
Yusuf, S., Hawken, S., Ôunpuu, S., Bautista, L., Franzosi, M. G., Commerford, P., Lang, C. C., Rumboldt, Z., Onen, C. L., Lisheng, L., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67663-5 · Cited by 2,903
Simental-Mendía, L. E., Rodríguez-Morán, M., & Guerrero-Romero, F. (2008) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2008.0034 · Cited by 2,445
Association between insulin resistance and the development of cardiovascular disease
Ormazabal, V., Nair, S., Elfeky, O., Aguayo, C., Salomon, C., & Zuñiga, F. A. (2018) · Cardiovascular Diabetology · doi:10.1186/s12933-018-0762-4 · Cited by 2,280
Guerrero-Romero, F., Simental-Mendía, L. E., González-Ortiz, M., Martínez-Abundis, E., Ramos-Zavala, M. G., Hernández-González, S. O., Jacques-Camarena, O., & Rodríguez-Morán, M. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-0288 · Cited by 2,247
Treatment of myocardial infarction in a coronary care unit
Killip, T., & Kimball, J. T. (1967) · The American Journal of Cardiology · doi:10.1016/0002-9149(67)90023-9 · Cited by 2,041
Treatment of myocardial infarction in a coronary care unit.
Lf, T., Berman, D. A., Goldfarb, B., Mb, S., & Berman, R. S. (1969) · PubMed · Cited by 1,611
Insulin resistance and hyperglycaemia in cardiovascular disease development
Laakso, M., & Kuusisto, J. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.29 · Cited by 858
TyG index performs better than HOMA in a Brazilian population: A hyperglycemic clamp validated study
Vasques, A. C. J., Novaes, F. S., de Oliveira, M. D. S., Matos Souza, J. R., Yamanaka, A., Pareja, J. C., Tambascia, M. A., Saad, M. J. A., & Geloneze, B. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.05.030 · Cited by 795
Cited by
Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations
Tao, L.-C., Xu, J.-N., Wang, T.-T., Hua, F., & Li, J.-J. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01511-x · Cited by 1,042
Wang, L., Cong, H.-L., Zhang, J.-X., Hu, Y.-C., Wei, A., Zhang, Y.-Y., Yang, H., Ren, L.-B., Qi, W., Li, W.-Y., et al. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01054-z · Cited by 435
Use of the triglyceride-glucose index (TyG) in cardiovascular disease patients
Alizargar, J., Bai, C.-H., Hsieh, N.-C., & Wu, S.-F. V. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0982-2 · Cited by 403
Zhang, Y., Ding, X., Hua, B., Liu, Q., Gao, H., Chen, H., Zhao, X.-Q., Li, W., & Li, H. (2022) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.61119 · Cited by 78
Metadata
- Authors
- Luo, E., Wang, D., Yan, G., Qiao, Y., Liu, B., Hou, J., & Tang, C.
- Venue
- Cardiovascular Diabetology
- Published
- 2019-11-13
- Volume
- 18
- Issue
- 1
- Pages
- 150-150
- ISSN
- 1475-2840 (ISSN-L)
- OpenAlex
- W2988960869
- Cited by
- 304
- References
- 38
- FWCI
- 18.41
- Type
- journal article
- Language
- en
- Open access
- gold
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- Luo, E., Wang, D., Yan, G., Qiao, Y., Liu, B., Hou, J., & Tang, C. (2019). High triglyceride–glucose index is associated with poor prognosis in patients with acute ST-elevation myocardial infarction after percutaneous coronary intervention. Cardiovascular Diabetology. https://doi.org/10.1186/s12933-019-0957-3
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