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Söner S, Aktan A, Kılıç R, Güzel H, Taştan E, Okşul M, Cömert AD, Coşkun MS, Söner HT, Güzel T. Association between the triglyceride-glucose index and contrast-induced nephropathy in chronic total occlusion patients undergoing percutaneous coronary intervention. BMC Cardiovasc Disord 2025; 25:31. [PMID: 39828693 PMCID: PMC11744983 DOI: 10.1186/s12872-025-04474-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Accepted: 01/03/2025] [Indexed: 01/22/2025] Open
Abstract
OBJECTIVE The triglyceride glucose (TyG) index is a biomarker of insulin resistance and is associated with an increased risk of cardiovascular events. Contrast-induced nephropathy (CIN) is an important complication that causes poor outcomes in patients undergoing percutaneous coronary intervention (PCI). In this study, we aimed to investigate the relationship between the TyG index and CIN and mortality in patients who underwent PCI due to chronic total coronary occlusion (CTO). METHODS Two hundred eighteen individuals from three separate medical centers who underwent procedural PCI between February 2010 and April 2012 and had a CTO lesion in at least one coronary artery were recruited. According to the TyG index, patients were divided into two groups. Patients with a TyG index ≥ 8.65 were included in Group 1, and patients with a TyG index < 8.65 were included in Group 2. Patients were followed up for 96 months. The main outcome was the development of CIN and mortality. RESULTS The mean age of the patients (65.8 ± 10.94 vs. 61.68 ± 11.4, P = 0.009), diabetes mellitus (60 [44.8%] vs. 11 [13.1%], P < 0.001), and dyslipidemia rates (52 [38.8%] vs. 21 [25%], P = 0.036) were higher in group 1. In multivariable logistic regression analysis, it was seen that age (OR = 1.04, 95% CI = 1.01-1.08, P = 0.020), chronic kidney disease (OR = 2.34, 95% CI = 1.02-5.33, P = 0.044), peripheral artery disease (OR = 5.66, 95% CI = 1.24-25.91, p = 0.026), LVEF (OR = 0.95, 95% CI = 0.92-0.99, P = 0.005), LDL cholesterol levels (OR = 1.00, 95%CI = 1.00-1.02, P = 0.024) and TyG index (OR = 2.17, 95% CI = 1.21-3.89, P = 0.009) were independent predictors of the development of CIN. CONCLUSION Our study demonstrates a correlation between the TyG index and the prevalence of CIN in patients with CTO undergoing PCI. Adding the TyG index to the routine clinical evaluation of patients with CTO undergoing PCI may help protect patients from the development of CIN.
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Affiliation(s)
- Serdar Söner
- Department of Cardiology, Health Science University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, 21070, Turkey.
| | - Adem Aktan
- Department of Cardiology, Mardin Artuklu University, Mardin, Turkey
| | - Raif Kılıç
- Department of Cardiology, Çermik State Hospital, Diyarbakır, Turkey
| | - Hamdullah Güzel
- Department of Cardiology, Düzce University Faculty of Medicine, Düzce, Turkey
| | - Ercan Taştan
- Department of Cardiology, Health Science University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, 21070, Turkey
| | - Metin Okşul
- Department of Cardiology, Health Science University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, 21070, Turkey
| | - Adnan Duha Cömert
- Department of Cardiology, Health Science University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, 21070, Turkey
| | | | - Hülya Tosun Söner
- Department of Anesthesiology and Reanimation, Health Science University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, 21070, Turkey
| | - Tuncay Güzel
- Department of Cardiology, Health Science University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, 21070, Turkey
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Mete Yıldırım A, Bayramoglu A. The Impact of Insulin Resistance on the Development of Post-PCI Contrast-Induced Nephropathy in Non-Diabetic STEMI. ACTA CARDIOLOGICA SINICA 2025; 41:130-137. [PMID: 39776926 PMCID: PMC11701499 DOI: 10.6515/acs.202501_41(1).20241018b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 10/18/2024] [Indexed: 01/11/2025]
Abstract
Aims Contrast-induced nephropathy (CIN) is a condition characterized by rapidly decreasing renal funciton following by the application of contrast material. Precutaneous coronary intervention (PCI) is a life-saving treatment method that should be applied under emergent conditions. Unfortunately, the incidence of CIN after PCI is common. Patients with insulin resistance or diabetes have a greater risk of developing CIN than most of the population. Therefore, studies on the predictive effects of insulin resistance indicators on CIN are gaining momentum. One of the most popular indicators is triglyceride/glucose-body mass index (TyG-BMI). In this study we aimed to evaluate the effect of TyG-BMI index on CIN. Materials and Methods A total of 960 patinets who underwent emergency PCI due to ST elevation myocardial infarction (STEMI) between 2020 and 2023 were included in the study. Laboratory and demographic parameters were compared between the patients who did and did not develop CIN. Results While CIN developed in 120 of the 980 patients included in the study, it did not develop in 860 patients. There were significant differences between the groups in terms of age (p < 0.001), gender (p = 0.005), presence of hypertension (p = 0.021), heart rate (p = 0.049), amount of contrast material (p < 0.001), left ventricular ejection fraction (p < 0.001), stent length (p = 0.022), SYNTAX score (p < 0.001), fasting plasma glucose (p < 0.001), baseline creatinine (p < 0.001), glomerular filtration rate (p < 0.001), uric acid (p < 0.001), C reactive protein (CRP) (p < 0.001), baseline creatin kinase myocard band (CKMB) (p = 0.019), CKMB peak (p = 0.030), triglyceride (p = 0.017), and TyG-BMI (p < 0.001). CRP, creatinine, uric asid, amount of contrast material, and TyG-BMI were independent predictors for the development of CIN. Conclusions TyG-BMI was a predictor of CIN in STEMI patient who underwent PCI under emergency conditions. In addition, the predicitive power of TyG-BMI was stronger than triglyceride-glucose index.
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Affiliation(s)
| | - Adil Bayramoglu
- Department of Cardiology, Faculty of Medicine, Inonu University, Malatya, Turkey
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Nayak SS, Kuriyakose D, Polisetty LD, Patil AA, Ameen D, Bonu R, Shetty SP, Biswas P, Ulrich MT, Letafatkar N, Habibi A, Keivanlou MH, Nobakht S, Alotaibi A, Hassanipour S, Amini-Salehi E. Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis. Cardiovasc Diabetol 2024; 23:310. [PMID: 39180024 PMCID: PMC11344391 DOI: 10.1186/s12933-024-02392-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 08/05/2024] [Indexed: 08/26/2024] Open
Abstract
OBJECTIVE The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings. METHODS A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software. RESULTS A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82-2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32-1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74-4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48-3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31-4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57-1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74-0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88-2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12-1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38-3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22-1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12-1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57-1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25-1.85). CONCLUSION The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index.
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Affiliation(s)
- Sandeep Samethadka Nayak
- Division of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New Heaven, Bridgeport, CT, USA
| | - Dona Kuriyakose
- St. Joseph's Mission Hospital, Kollam District, Anchal, Kerala, India
| | - Lakshmi D Polisetty
- Division of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New Heaven, Bridgeport, CT, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, John Dempsey Hospital, University of Connecticut, Bridgeport, CT, USA
| | - Anjali Avinash Patil
- Rajarshee Chhatrapati Shahu Maharaj Government Medical College Kolhapur Shenda park, Kolhapur, Maharashtra, India
| | - Daniyal Ameen
- Division of Hospital Medicine, Department of Internal Medicine, Bridgeport Hospital, Yale New Heaven, Bridgeport, CT, USA
| | - Rakshita Bonu
- Vydehi Institute of Medical Sciences and Research Centre, Bengaluru. 82, Nallurahalli Main Road, Whitefield, Bengaluru, Karnataka, India
| | - Samatha P Shetty
- Director of Capacity Management, NYC Health Hospitals, Elmhurst, USA
| | - Pubali Biswas
- Vydehi Institute of Medical Sciences and Research Centre, Bengaluru. 82, Nallurahalli Main Road, Whitefield, Bengaluru, Karnataka, India
| | - Micheal T Ulrich
- Riverside University Health System Medical Center, Moreno Valley, CA, USA
| | | | - Arman Habibi
- Guilan University of Medical Sciences, Rasht, Iran
| | | | - Sara Nobakht
- Guilan University of Medical Sciences, Rasht, Iran
| | | | - Soheil Hassanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, P.O. Box: 41448-95655, Rasht, Iran
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Chang W, Liu CC, Huang YT, Wu JY, Tsai WW, Hung K, Chen I, Feng PH. Diagnostic efficacy of the triglyceride-glucose index in the prediction of contrast-induced nephropathy following percutaneous coronary intervention. Front Endocrinol (Lausanne) 2023; 14:1282675. [PMID: 38075076 PMCID: PMC10703478 DOI: 10.3389/fendo.2023.1282675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023] Open
Abstract
Introduction Contrast-induced nephropathy (CIN) is a common complication of percutaneous coronary intervention (PCI). Identifying patients at high CIN risk remains challenging. The triglyceride-glucose (TyG) index may help predict CIN but evidence is limited. We conducted a meta-analysis to evaluate the diagnostic value of TyG index for CIN after PCI. Methods A systematic literature search was performed in MEDLINE, Cochrane, and EMBASE until August 2023 (PROSPERO registration: CRD42023452257). Observational studies examining TyG index for predicting CIN risk in PCI patients were included. This diagnostic meta-analysis aimed to evaluate the accuracy of the TyG index in predicting the likelihood of CIN. Secondary outcomes aimed to assess the pooled incidence of CIN and the association between an elevated TyG index and the risk of CIN. Results Five studies (Turkey, n=2; China, n=3) with 3518 patients (age range: 57.6 to 68.22 years) were included. The pooled incidence of CIN was 15.3% [95% confidence interval (CI) 11-20.8%]. A high TyG index associated with increased CIN risk (odds ratio: 2.25, 95% CI 1.82-2.77). Pooled sensitivity and specificity were 0.77 (95% CI 0.59-0.88) and 0.55 (95% CI 0.43-0.68) respectively. Analysis of the summary receiver operating characteristic (sROC) curve revealed an area under the curve of 0.69 (95% CI 0.65-0.73). There was a low risk of publication bias (p = 0.81). Conclusion The TyG index displayed a noteworthy correlation with the risk of CIN subsequent to PCI. However, its overall diagnostic accuracy was found to be moderate in nature. While promising, the TyG index should not be used in isolation for CIN screening given the heterogeneity between studies. In addition, the findings cannot be considered conclusive given the scarcity of data. Further large-scale studies are warranted to validate TyG cutoffs and determine how to optimally incorporate it into current risk prediction models. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023452257, identifier CRD42023452257.
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Affiliation(s)
- Wei−Ting Chang
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung, Taiwan
- Division of Cardiology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan, Taiwan
- Department of Biotechnology, Southern Taiwan University of Science and Technology, Tainan, Taiwan
| | - Chien-Cheng Liu
- Department of Anesthesiology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
- Department of Nursing, College of Medicine, I-Shou University, Kaohsiung, Taiwan
- School of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Yen-Ta Huang
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jheng-Yan Wu
- Department of Nutrition, Chi Mei Medical Center, Tainan, Taiwan
| | - Wen-Wen Tsai
- Department of Neurology, Chi-Mei Medical Center, Tainan, Taiwan
| | - Kuo−Chuan Hung
- Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - I−Wen Chen
- Department of Anesthesiology, Chi Mei Medical Center, Liouying, Tainan, Taiwan
| | - Ping-Hsun Feng
- Department of Anesthesiology, Chi Mei Medical Center, Liouying, Tainan, Taiwan
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Guo S, Luo X, Huang L, Wang C, Yang Y, Yang L. Hot spots and trends in PCI prognostic research: A bibliometric analysis with CiteSpace. Medicine (Baltimore) 2023; 102:e35599. [PMID: 37904392 PMCID: PMC10615519 DOI: 10.1097/md.0000000000035599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 09/20/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND The number of patients undergoing percutaneous coronary intervention (PCI) procedures is increasing along with the number of studies involving guidelines, prognostic assessments, and cardiac rehabilitation related to PCI strategies. However, fewer studies have reported the mapping of knowledge structure and hotspot analysis in this field. Our goal was to discuss and analyze the current status, hot spots and developmental trends associated with research into the prognosis of patients undergoing PCI, and to provide reference for PCI-related research. METHODS The Web of Science Core Collection and China Knowledge Network were searched for relevant literature from January 2003 to October 2022, and CiteSpace 6.1. R3 software was used to analyze the co-occurrence, clustering, and emerging authors, institutions, and keywords. RESULTS A total of 2666 English and 2010 Chinese publications were included. The number of publications showed a growing trend. The author with the maximum number of articles was Xu Bo. The institutions with high productivity were Peking Union Medical College and Capital Medical University. Although the number of Chinese articles was high, the cooperation between institutions was low and the impact was small. The results of the analysis suggest a shift in the focus of keywords from coronary artery disease and PCI to studies involving the assessment and intervention of risk factors associated with poor prognosis of PCI. Traditional Chinese Medicine and anxiety represent the emerging direction of PCI prognosis. The assessment of major adverse cardiovascular events and cardiac rehabilitation require careful analysis in post-PCI research. CONCLUSION The findings of this bibliometric study present a comprehensive and systematic overview of the PCI prognosis, based on the analysis of the current status and trends in research, which may facilitate the identification of hot topics and new directions for future research.
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Affiliation(s)
- Shuli Guo
- Department of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Clinical Laboratory Center, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China
| | - Xiandao Luo
- Department three of Cardiology, Urumqi Friendship Hospital, Urumqi, Xinjiang, China
| | - Liu Huang
- Department of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China
| | - Changmin Wang
- Clinical Laboratory Center, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China
| | - Yining Yang
- Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China
| | - Lei Yang
- Department of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China
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