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Pu Y, Feng Y, Zhao W. The association between triglyceride -glucose index and stress urinary incontinence in adult American women: A population-based study. Neurourol Urodyn 2024. [PMID: 39032097 DOI: 10.1002/nau.25552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 07/02/2024] [Accepted: 07/06/2024] [Indexed: 07/22/2024]
Abstract
PURPOSE This investigation seeks to determine the triglyceride glucose (TyG) index's link to stress urinary incontinence (SUI) in American females of adult age. METHODS The investigation relied on data acquired via the National Health and Nutrition Examination Survey (NHANES) conducted over the period from 2011 to 2018. The independent relationship between TyG index and SUI was tested using multivariate logistic regression analysis. We applied a smooth curve fitting approach to analyze the interrelation of them. In addition, subgroup analysis was conducted and interaction experiments were conducted. RESULTS Among 4459 female participants aged 20 and above, TyG index and SUI demonstrated a favorable correlation. Model 3 indicated that with every single-unit rise in the TyG index, the incidence of SUI increases by 18% [1.18 (1.01, 1.38)]. In contrast to individuals in the lowest tertile, subjects within the highest tertile of the TyG index exhibited a 68% increase in SUI incidence [1.68 (95% CI: 1.26, 2.23), 0.0004]. By using smooth curve fitting, a nonlinear positive evidence of an interconnection of the TyG index to SUI was identified. CONCLUSIONS Women exhibiting increased TyG index levels are at a heightened risk of SUI. TyG index displays a stronger correlation than that observed with BMI. According to our findings, the TyG index is viewed as a potential tool for identifying SUI in women, and monitoring the value of TyG index may be helpful for predicting the occurrence of SUI.
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Affiliation(s)
- YangPeng Pu
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - YouGang Feng
- Sichuan Province, Suining Central Hospital, Suining, China
| | - WenCai Zhao
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Shi Y, Yu C. U shape association between triglyceride glucose index and congestive heart failure in patients with diabetes and prediabetes. Nutr Metab (Lond) 2024; 21:42. [PMID: 38956581 PMCID: PMC11221084 DOI: 10.1186/s12986-024-00819-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 06/24/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND While previous population studies have shown that higher triglyceride-glucose (TyG) index values are associated with an increased risk of congestive heart failure (CHF), the relationship between TyG and CHF in patients with abnormal glucose metabolism remains understudied. This study aimed to evaluate the association between TyG and CHF in individuals with diabetes and prediabetes. METHODS The study population was derived from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. The exposure variable, TyG, was calculated based on triglyceride and fasting blood glucose levels, while the outcome of interest was CHF. A multivariate logistic regression analysis was employed to assess the association between TyG and CHF. RESULTS A total of 13,644 patients with diabetes and prediabetes were included in this study. The results from the fitting curve analysis demonstrated a non-linear U-shaped correlation between TyG and CHF. Additionally, linear logistic regression analysis showed that each additional unit of TyG was associated with a non-significant odds ratio (OR) of 1.03 (95%CI: 0.88-1.22, P = 0.697) for the prevalence of CHF. A two-piecewise logistic regression model was used to calculate the threshold effect of the TyG. The log likelihood ratio test (p < 0.05) indicated that the two-piecewise logistic regression model was superior to the single-line logistic regression model. The TyG tangent point was observed at 8.60, and on the left side of this point, there existed a negative correlation between TyG and CHF (OR: 0.54, 95%CI: 0.36-0.81). Conversely, on the right side of the inflection point, a significant 28% increase in the prevalence of CHF was observed per unit increment in TyG (OR: 1.28, 95%CI: 1.04-1.56). CONCLUSIONS The findings from this study suggest a U-shaped correlation between TyG and CHF, indicating that both elevated and reduced levels of TyG are associated with an increased prevalence of CHF.
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Affiliation(s)
- Yumeng Shi
- Department of Cardiovascular Medicine, the Second Affiliated Hospital, Nanchang of Jiangxi, Jiangxi Medical College, Nanchang University, Nanchang, China
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang of Jiangxi, Nanchang University, Nanchang, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, China
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, China
| | - Chao Yu
- Department of Cardiovascular Medicine, the Second Affiliated Hospital, Nanchang of Jiangxi, Jiangxi Medical College, Nanchang University, Nanchang, China.
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang of Jiangxi, Nanchang University, Nanchang, China.
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, China.
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Jin L, Zhao Y, Ye T, He Y, Yao L. Cognitive and emotional impairment in stroke survivors: insights from a multi-center study on inpatient rehabilitation therapy. Brain Inj 2024; 38:630-636. [PMID: 38528739 DOI: 10.1080/02699052.2024.2333398] [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: 04/24/2023] [Accepted: 03/18/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND Individuals recovering from stroke often experience cognitive and emotional impairments, but rehab programs tend to focus on motor skills. The aim of this investigation is to systematically assess the change of magnitude of cognitive and emotional function subsequent to a conventional rehabilitative protocol administered to stroke survivors within a defined locale in China. METHODS This is a multicenter study; a total of 1884 stroke survivors who received in-hospital rehabilitation therapy were assessed on admission (T0) and discharge (T1). The tool of InterRAI was used to assess cognitive, emotional, and behavioral abnormality. RESULTS The patients aged >60 years, with a history of hypertension, and long stroke onset duration were more exposed to functional impairment (all p < 0.05). Both cognitive and emotional sections were significantly improved at T1 compared to T0 (p < 0.001). Initially, 64.97% and 46.55% of patients had cognitive or emotional impairment at T0, respectively; this percentage was 58.55% and 37.15% at T1. CONCLUSION Many stroke survivors have ongoing cognitive and emotional problems that require attention. It is essential to focus on rehabilitating these areas during the hospital stay, especially for older patients, those with a longer recovery, and those with hypertension history.
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Affiliation(s)
- Lihua Jin
- Department of Rehabilitation Medicine, Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Ying Zhao
- Department of Rehabilitation Medicine, Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Ting Ye
- Department of Rehabilitation Medicine, Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Ying He
- Department of Rehabilitation Medicine, Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Liqing Yao
- Department of Rehabilitation Medicine, Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
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Sawaf B, Swed S, Alibrahim H, Bohsas H, Dave T, Nasif MN, Hafez W, Tashrifwala FAA, Jabban YKE, Al-Rassas S, Saleh HH, Zaidi ARZ, Alghalyini B, Mohamed SA, Mohamed WF, Farwati A, Seijari MN, Battikh N, Elnagar B, Iqbal S, Robles-Velasco K, Cherrez-Ojeda I. Triglyceride-Glucose Index as Predictor for Hypertension, CHD and STROKE Risk among Non-Diabetic Patients: A NHANES Cross-Sectional Study 2001-2020. J Epidemiol Glob Health 2024:10.1007/s44197-024-00269-7. [PMID: 38954387 DOI: 10.1007/s44197-024-00269-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 06/16/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) is a leading cause of global mortality. Early intervention and prevention of CVD depend on accurately predicting the risk of CVD. This study aimed to investigate the association between the TyG index and the risk of coronary heart disease (CHD), congestive heart failure (CHF), heart attack (HA), stroke, and hypertension (HTN) among patients without diabetes in the United States. METHODS In this retrospective, cross-sectional study, we used data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2020. We conducted several regression analysis models and calculated the sensitivity and specificity of (TyG) index for predicting the onset of CHD, CHF, HA, stroke, and HTN. RESULTS A total of 10,937 individuals without diabetes participated in our study. Individuals with a TyG index greater than 8.96 displayed significant increasing in various parameters, including BMI, systolic/diastolic blood pressure, total cholesterol, LDL, and Apo-B levels (p < 0.001). Almost all regression models ensured that a higher TyGI value was associated with higher odds of having CHD, CHF, HA, stroke, and HTN, which patients with a TyGI value higher than 8.96 have odds ratios of 2.24-5.58 for CHD, 1.68-4.42 for stroke, 2.45-3.77 for HA and 1.75-3.93 for HTN comparing than patients with a TyGI value lower than 8.11 (p-value < 0.05).We evaluated the predictive value of the TyG index for each endpoint, obtaining the following area under the curve (AUC) values: 54.75% for CHF (95% CI: 0.542-0.614), 52.32% for stroke (95% CI: 0.529-0.584), 55.67% for HA (95% CI: 0.595-0.646), 55.59% for HTN (95% CI: 0.574-0.597), and 50.31% for CHD (95% CI: 0.592-0.646). CONCLUSION The TyG index showed a strong correlation with cardiovascular risk factors in individuals without diabetes, however it was a poor predictor of almost studied cardiovascular diseases.
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Affiliation(s)
- Bisher Sawaf
- Department of Internal Medicine, Hamad Medical Corporation, Doha, Qatar
- Independent Researcher, THE GLOBEST TEAM
| | - Sarya Swed
- Faculty of Medicine, Aleppo University, Aleppo, Syria.
- Independent Researcher, THE GLOBEST TEAM , .
| | - Hidar Alibrahim
- Faculty of Medicine, Aleppo University, Aleppo, Syria
- Independent Researcher, THE GLOBEST TEAM
| | - Haidara Bohsas
- Faculty of Medicine, Aleppo University, Aleppo, Syria
- Independent Researcher, THE GLOBEST TEAM
| | - Tirth Dave
- Bukovinian State Medical University, Chernivtsi, Ukraine
- Independent Researcher, THE GLOBEST TEAM
| | - Mohamad Nour Nasif
- Faculty of Medicine, Aleppo University, Aleppo, Syria
- Independent Researcher, THE GLOBEST TEAM
| | - Wael Hafez
- NMC Royal Hospital, 16Th Street, Khalifa City, Abu Dhabi, UAE
- Department of Internal Medicine, Medical Research and Clinical Studies Institute, The National Research Centre, Cairo, Egypt
- Independent Researcher, THE GLOBEST TEAM
| | | | | | - Safwan Al-Rassas
- Faculty of Medicine, Thamar University, Dhamar, Yemen
- Independent Researcher, THE GLOBEST TEAM
| | - Heba Haj Saleh
- Faculty of Medicine, Aleppo University, Aleppo, Syria
- Independent Researcher, THE GLOBEST TEAM
| | - Abdul Rehman Zia Zaidi
- Department of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Baraa Alghalyini
- Department of Family and Community Medicine, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Shaymaa Abdelmaboud Mohamed
- Department of Cardiology, National Heart Institute, Ibn Al Nafees Square, AL KIT KAT, Agouza, Giza Governorate, Egypt
- Department of Cardiology, Al Salam Specialist Hospital, Building 1, Road 39, Block 941, Riffa, 80278, Bahrain
| | | | - Amr Farwati
- Department of Internal Medicine, Hamad Medical Corporation, Doha, Qatar
- Independent Researcher, THE GLOBEST TEAM
| | - Mohammed Najdat Seijari
- Department of Internal Medicine, Hamad Medical Corporation, Doha, Qatar
- Independent Researcher, THE GLOBEST TEAM
| | - Naim Battikh
- John H. Stroger, Jr. Hospital of Cook County, Chicago, USA
| | - Basma Elnagar
- Lecturer of Cardiovascular Medicine, Cardiovascular Department, Faculty of Medicine, Tanta University, Tanta, Egypt
| | - Seema Iqbal
- Khyber Medical College, University of Peshawar, Peshawar, 25120, Khyber Pakhtunkhwa, Pakistan
| | - Karla Robles-Velasco
- Universidad Espíritu Santo, Samborondón, Ecuador
- Respiralab Research Group, Guayaquil, Ecuador
- Independent Researcher, THE GLOBEST TEAM
| | - Ivan Cherrez-Ojeda
- Universidad Espíritu Santo, Samborondón, Ecuador
- Respiralab Research Group, Guayaquil, Ecuador
- Independent Researcher, THE GLOBEST TEAM
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Paramanathan T, Sandrasegarampillai B, Arasaratnam V, Thirunavukarasu K. The discriminative ability of the triglyceride-glucose index to identify metabolic syndrome among adults of the northern Sri Lankan population. BMC Endocr Disord 2024; 24:101. [PMID: 38951832 PMCID: PMC11218160 DOI: 10.1186/s12902-024-01632-2] [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: 04/05/2024] [Accepted: 06/21/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND The triglyceride-glucose index (TyG index) is a simple surrogate marker for Insulin Resistance (IR). However, the relationship between the TyG index and Metabolic Syndrome (MetS) remains unknown in the Northern Sri Lankan population. METHODS This was a descriptive, cross-sectional study of adults aged between 18 and 65 years living in Jaffna, Sri Lanka. This study aimed to verify the discriminative ability of the TyG index to identify MetS using the International Diabetes Federation (IDF-2006) criteria and to determine the gender-specific TyG index cut-off values for better prediction of MetS in Northern Sri Lankan adults. TyG index was calculated as Ln[Triglycerides (TG) (mg/dl) × Fasting plasma glucose (FPG) (mg/dl)/2]. RESULTS A total of 540 individuals were included in this study, with a mean age of 42.18 (± 13.89) years for males and 43.80 (± 12.56) years for females. The mean value of the TyG index in the total study population was 8.54 (± 0.53). Individuals in the higher quartiles of the TyG index had a significantly increased risk of MetS compared with those in the lowest quartile (p < 0.01). TyG index showed a stronger association with MetS than the FPG and all the conventional lipid components and the unadjusted odds ratio was 5.47. The area under the curve (AUC) of ROC revealed values of 0.914 (95% confidence interval (CI): 0.884, 0.944) for females, 0.881 (95% CI: 0.830, 0.932) for males and 0.897 (95% CI: 0.870, 0.924) for the total study population. TyG index had a stronger discriminative ability to identify MetS as per IDF criteria in the study population with a cut-off value of 8.60. The mean level of the TyG index significantly increased with the increasing number of MetS components. CONCLUSIONS The mean value of the TyG index increased as the number of MetS components in the study population increased. Individuals with a higher TyG index had a significantly increased risk of having MetS compared with the lowest quartile of the TyG index. TyG index had a good discriminative ability to diagnose MetS as per IDF criteria among the northern Sri Lankan population.
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Affiliation(s)
- Thurka Paramanathan
- Department of Biochemistry, Faculty of Medicine, University of Jaffna, Jaffna, Sri Lanka.
| | | | - Vasanthy Arasaratnam
- Department of Biochemistry, Faculty of Medicine, University of Jaffna, Jaffna, Sri Lanka
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Zhou H, Ding X, Lan Y, Fang W, Yuan X, Tian Y, Chen S, Wu S, Wu D. Dual-trajectory of TyG levels and lifestyle scores and their associations with ischemic stroke in a non-diabetic population: a cohort study. Cardiovasc Diabetol 2024; 23:225. [PMID: 38943172 PMCID: PMC11214241 DOI: 10.1186/s12933-024-02313-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 06/16/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND The Triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has been implicated in the risk of ischemic stroke. However, the interplay between TyG levels, lifestyle factors, and their collective impact on stroke risk in non-diabetic populations remains inadequately explored. This study aims to evaluate the association of ischemic stroke with the joint development of the TyG index and lifestyle in the non-diabetic population. METHODS In this prospective cohort study, data was collected across three consecutive biennial surveys of the Kailuan Study from 2006 to 2011. The dual-trajectory model was used to determine the temporal development of TyG levels and lifestyle scores. Statistical analysis involved Cox regression models to evaluate the association between TyG-lifestyle trajectories and ischemic stroke risk, adjusting for potential confounders. RESULTS A total of 44,403 participants were included, with five distinct TyG levels and lifestyle scores trajectory subtypes identified. In the multivariable-adjusted analyses, significant differences in ischemic stroke risk among the trajectory subtypes. Group 5, characterized by the highest TyG levels and moderate lifestyle scores, exhibited the greatest ischemic stroke risk (HR = 1.81, 95% CI: 1.51-2.18), while group 4, with moderate TyG levels and higher lifestyle scores, demonstrated the lowest risk (HR = 1.19, 95% CI: 1.04-1.37), compared with group 3. Participants with elevated TyG levels were at an increased risk of ischemic stroke in cases of pronounced insulin resistance, even with a healthy lifestyle. CONCLUSIONS This study reveals the significant associations between the identified TyG and lifestyle trajectories and the stratification of ischemic stroke risk among non-diabetics. The TyG index is a valuable indicator for assessing insulin resistance. However, the potential benefits of lifestyle changes for those with significantly high TyG levels need to be clarified by more research to develop more effective stroke prevention strategies.
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Affiliation(s)
- Hui Zhou
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Xiong Ding
- School of Public Health, Wuhan University, Wuhan, China
- Global Health Research Center, Duke Kunshan University, Suzhou, China
| | - Yulong Lan
- The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Wei Fang
- Department of Cardiology, Second Affiliated Hospital of Air Force Medical University, Xi'an, China
| | - Xiaojie Yuan
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China
| | - Yan Tian
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, China.
| | - Dan Wu
- The Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
- Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
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7
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Wang Y, Miao Y, Wan Q. Association Between Triglyceride-Glucose Index and Waist-To-Hip Ratio with Type 2 Diabetic Retinopathy in the Chinese Population: A Cross-Sectional Study. Endocr Res 2024:1-10. [PMID: 38850265 DOI: 10.1080/07435800.2024.2364719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND The triglyceride-glucose (TyG) index serves as a convenient indicator of insulin resistance, which has been demonstrated to be associated with diabetic retinopathy(DR). However, the relationship between TyG-WHR, a novel index combining TyG with the central obesity indicator WHR, and retinopathy in patients with type 2 diabetes remains unclear. Therefore, this study aims to investigate the correlation between TyG-WHR and DR in adult patients with type 2 diabetes. METHODS This cross-sectional study included 1702 patients with T2DM. Logistic regression analysis was performed to examine the associations between TyG-WHR and DR. Additionally, the receiver operating characteristic curve (ROC curve) was utilized to assess the predictive efficacy of TyG-WHR for DR. RESULTS Patients in higher TyG-WHR quartiles demonstrated an increased presence of DR, and TyG-WHR increased with the severity of DR. Moreover, TyG-WHR remained significantly associated with a higher odds ratio (OR) for DR (OR 1.223, 95% confidence interval [CI] 1.078-1.387, p < 0.05) after multivariate adjustment. Additionally, receiver operating characteristic curve analysis indicated that the optimal cutoff value for TyG-WHR in predicting DR presence was 8.8983, with a sensitivity of 61.00%, specificity of 48.50%, and area under the curve (AUC) of 0.555. CONCLUSIONS In patients with T2DM, TyG-WHR was significantly elevated in those with DR and independently associated with an increased risk of DR presence in Chinese patients. This implies that TyG-WHR could potentially serve as a valuable and dependable biomarker for DR, underscoring the importance of giving greater consideration to T2DM patients with elevated TyG-WHR to effectively prevent and mitigate the onset of DR and associated adverse health outcomes.
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Affiliation(s)
- Yu Wang
- Department of Cardiology, Luzhou People's Hospital, Luzhou, China
| | - Ying Miao
- Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
- Southwest Medical University, Luzhou, China
| | - Qin Wan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China
- Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China
- Sichuan Clinical Research Center for Nephropathy, Luzhou, China
- Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, China
- Southwest Medical University, Luzhou, China
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8
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Liu D, Ren B, Tian Y, Chang Z, Zou T. Association of the TyG index with prognosis in surgical intensive care patients: data from the MIMIC-IV. Cardiovasc Diabetol 2024; 23:193. [PMID: 38844938 PMCID: PMC11157750 DOI: 10.1186/s12933-024-02293-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 05/30/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index, a tool for assessing insulin resistance, is increasingly recognized for its ability to predict cardiovascular and metabolic risks. However, its relationship with trauma and surgical patient prognosis is understudied. This study investigated the correlation between the TyG index and mortality risk in surgical/trauma ICU patients to identify high-risk individuals and improve prognostic strategies. METHODS This study identified patients requiring trauma/surgical ICU admission from the Medical Information Mart for Intensive Care (MIMIC-IV) database, and divided them into tertiles based on the TyG index. The outcomes included 28-day mortality and 180-day mortality for short-term and long-term prognosis. The associations between the TyG index and clinical outcomes in patients were elucidated using Cox proportional hazards regression analysis and RCS models. RESULTS A total of 2103 patients were enrolled. The 28-day mortality and 180-day mortality rates reached 18% and 24%, respectively. Multivariate Cox proportional hazards analysis revealed that an elevated TyG index was significantly related to 28-day and 180-day mortality after covariates adjusting. An elevated TyG index was significantly associated with 28-day mortality (adjusted hazard ratio, 1.19; 95% confidence interval 1.04-1.37) and 180-day mortality (adjusted hazard ratio, 1.24; 95% confidence interval 1.11-1.39). RCS models revealed that a progressively increasing risk of mortality was related to an elevated TyG index. According to our subgroup analysis, an elevated TyG index is associated with increased risk of 28-day and 180-day mortality in critically ill patients younger than 60 years old, as well as those with concomitant stroke or cardiovascular diseases. Additionally, in nondiabetic patients, an elevated TyG index is associated with 180-day mortality. CONCLUSION An increasing risk of mortality was related to an elevated TyG index. In critically ill patients younger than 60 years old, as well as those with concomitant stroke or cardiovascular diseases, an elevated TyG index is associated with adverse short-term and long-term outcomes. Furthermore, in non-diabetic patients, an elevated TyG index is associated with adverse long-term prognosis.
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Affiliation(s)
- Donghao Liu
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China
- Beijing Hospital, Institute of Geriatric Medicine, Peking University Fifth School of Clinical Medicine, Beijing, People's Republic of China
| | - Bingkui Ren
- Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, People's Republic of China
- Department of Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China
| | - Yuqing Tian
- Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Zhigang Chang
- Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, People's Republic of China.
- Department of Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
| | - Tong Zou
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
- Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, People's Republic of China.
- Beijing Hospital, Institute of Geriatric Medicine, Peking University Fifth School of Clinical Medicine, Beijing, People's Republic of China.
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9
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Ozturk D, Sivaslioglu A, Bulus H, Ozturk B. TyG index is positively associated with HOMA-IR in cholelithiasis patients with insulin resistance: Based on a retrospective observational study. Asian J Surg 2024; 47:2579-2583. [PMID: 38508891 DOI: 10.1016/j.asjsur.2024.03.004] [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: 10/14/2023] [Revised: 12/24/2023] [Accepted: 03/01/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND/OBJECTIVE Cholelithiasis is a common disease but pose significant global health and financial burdens. Mechanisms of the disease are associated with insulin resistance (IR), obesity, metabolic syndrome, and type 2 diabetes. Insulin resistance is commonly observed in cholelithiasis patients. More recently, the triglyceride-glucose (TyG) index has been proposed as an alternative marker of insulin resistance. In our study we aimed to understand whether the TyG index is correlated with HOMA-IR in cholelithiasis patients. And also we aimed the predict a cutoff value for determining insulin resistance in cholelithiasis patients. METHODS A total of 184 cholelithiasis patients were matched in terms of age, gender, and BMI. They were divided into two groups based on their Homa IR levels (IR and Non-IR group). This study was a retrospective, observational study and clinical data was obtained from electronic medical records. Cutoff value for Tyg index was established through ROC Analysis. Binary Logistic Regression was used to identify factors affecting insulin resistance. RESULTS A significant cutoff value was found for the TyG index in determining the presence of insulin resistance. Having a TyG index of ≥8.71 indicates the presence of insulin resistance. The sensitivity was 68.48%, the specificity was 58.70%. Binary Logistic Regression analyses showed that an increase in Tyg Index, waist circumference and waist-to-height ratio values increases the risk of insulin resistance by 2.705 (p = 0.001), 1.032 (p = 0.029), and 334.057 (p = 0.012) times respectively. CONCLUSION Our study indicated that TyG index is positively correlated with HOMA-IR. TyG index was found as a risk factor for insulin resistance.
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Affiliation(s)
- Dogan Ozturk
- University of Health Sciences, Ankara Ataturk Sanatoryum Training and Research Hospital, Department of General Surgery, Ankara, Turkiye
| | - Aysegul Sivaslioglu
- Hacettepe University, Faculty of Health Sciences, Department of Nutrition and Dietetics, Ankara, Turkiye.
| | - Hakan Bulus
- University of Health Sciences, Ankara Ataturk Sanatoryum Training and Research Hospital, Department of General Surgery, Ankara, Turkiye
| | - Bulent Ozturk
- University of Health Sciences, Ankara Ataturk Sanatoryum Training and Research Hospital, Department of General Surgery, Ankara, Turkiye
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Sun C, Hu L, Li X, Zhang X, Chen J, Li D, Zhang J, Liu L, Wu M. Triglyceride-glucose index's link to cardiovascular outcomes post-percutaneous coronary intervention in China: a meta-analysis. ESC Heart Fail 2024; 11:1317-1328. [PMID: 38246749 PMCID: PMC11098636 DOI: 10.1002/ehf2.14679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 12/05/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024] Open
Abstract
Percutaneous coronary intervention (PCI) addresses myocardial ischaemia, but a significant subset of patients encounter major adverse cardiovascular events (MACE) post-treatment. This meta-analysis investigated the relationship between the post-PCI triglyceride-glucose (TyG) index and MACE. Comprehensive searches of the Embase, PubMed, Cochrane Library, and Web of Science databases were conducted up to 3 March 2023, using relevant keywords. The effect size was determined based on I2 statistic using random-effects models. Cluster-robust standard errors crafted the dose-response curve, and the GRADE Evaluation Scale was employed to rate the quality of evidence. The group with the highest TyG index had significantly higher post-PCI MACE rates than the lowest index group, with hazard ratios (HRs) of 2.04 (95% CI 1.65-2.52; I2 = 77%). Each unit increase in TyG index corresponded to HRs of 1.82 for MACE (95% CI 1.34-2.46; I2 = 92%), 2.57 for non-fatal MI (95% CI 1.49-4.41; I2 = 63%), and 2.06 for revascularization (95% CI 1.23-3.50; I2 = 90%). A linear relationship between TyG index and MACE risk was established (R2 = 0.6114). For all-cause mortality, the HR was 1.93 (95% CI 1.35-2.75; I2 = 50%), indicating a higher mortality risk with elevated TyG index. The GRADE assessment yielded high certainty for non-fatal MI but low certainty for all-cause mortality, revascularization, and MACE. The TyG index may predict risks of post-PCI MACE, all-cause mortality, non-fatal MI, and revascularization, with varied levels of certainty. A potential linear association between the TyG index and MACE post-PCI was identified. Future research should validate these findings.
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Affiliation(s)
- ChangXin Sun
- Beijing University of Chinese MedicineBeijingChina
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - LanQing Hu
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - XiaoYa Li
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - XiaoNan Zhang
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - JiYe Chen
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - DeXiu Li
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - JingYi Zhang
- Beijing University of Chinese MedicineBeijingChina
| | - LongTao Liu
- National Clinical Research Center for Chinese Medicine Cardiology, China Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Min Wu
- China Academy of Chinese Medical SciencesGuang'anmen HospitalBeijingChina
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Guan L, Wang CH, Sun H, Sun ZJ. Development and validation of a nomogram model for all-cause mortality risk in patients with chronic heart failure and atrial fibrillation. BMC Geriatr 2024; 24:470. [PMID: 38811919 PMCID: PMC11138095 DOI: 10.1186/s12877-024-05059-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 05/08/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND As the global aging process continues to accelerate, heart failure (HF) has become an important cause of increased morbidity and mortality in elderly patients. Chronic atrial fibrillation (AF) is a major risk factor for HF. Patients with HF combined with AF are more difficult to treat and have a worse prognosis. The aim of this study was to explore the risk factors for 1-year mortality in patients with HF combined with AF and to develop a risk prediction assessment model. METHODS We recruited hospitalized patients with HF and AF who received standardized care in the Department of Cardiology at Shengjing Hospital of China Medical University from January 2013 to December 2018. The patients were randomly divided into modeling and internal validation groups using a random number generator at a 1:1 ratio. Multivariate Cox regression analysis was used to identify risk factors for all-cause mortality during a one-year follow-up period. Then, a nomogram was constructed based on the weights of each index and validated. Receiver operating characteristic curve, the area under the curve (AUC), decision curve, and calibration curve analyses for survival were used to evaluate the model's predictive and clinical validities and calibration. RESULTS We included 3,406 patients who met the eligibility criteria; 1,703 cases each were included in the modeling and internal validation groups. Eight statistically significant predictors were identified: age, sex, New York Heart Association cardiac function class III or IV, a history of myocardial infarction, and the albumin, triglycerides, N-terminal pro-b-type natriuretic peptide, and blood urea nitrogen levels. The AUCs were 0.793 (95% confidence interval: 0.763-0.823) and 0.794 (95% confidence interval: 0.763-0.823) in the modeling and validation cohorts, respectively. CONCLUSIONS We present a predictive model for all-cause mortality in patients with coexisting HF and AF comprising eight key factors. This model gives clinicians a simple assessment tool that may improve the clinical management of these patients.
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Affiliation(s)
- Lin Guan
- Department of Cardiology, Shengjing Hospital of China Medical University, 39 Huaxiang Road, Tiexi Zone, Shenyang, 110022, China
| | - Chuan-He Wang
- Department of Cardiology, Shengjing Hospital of China Medical University, 39 Huaxiang Road, Tiexi Zone, Shenyang, 110022, China
| | - Hao Sun
- Department of Clinical Epidemiology and Evidence-Based Medicine, the First Hospital of China Medical University, Shenyang, 110001, China.
| | - Zhi-Jun Sun
- Department of Cardiology, Shengjing Hospital of China Medical University, 39 Huaxiang Road, Tiexi Zone, Shenyang, 110022, China.
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Yin JL, Yang J, Song XJ, Qin X, Chang YJ, Chen X, Liu FH, Li YZ, Xu HL, Wei YF, Cao F, Bai XL, Wu L, Tao T, Du J, Gong TT, Wu QJ. Triglyceride-glucose index and health outcomes: an umbrella review of systematic reviews with meta-analyses of observational studies. Cardiovasc Diabetol 2024; 23:177. [PMID: 38783270 PMCID: PMC11118729 DOI: 10.1186/s12933-024-02241-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 04/20/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Numerous meta-analyses have explored the association between the triglyceride-glucose (TyG) index and diverse health outcomes, yet the comprehensive assessment of the scope, validity, and quality of this evidence remains incomplete. Our aim was to systematically review and synthesise existing meta-analyses of TyG index and health outcomes and to assess the quality of the evidence. METHODS A thorough search of PubMed, EMBASE, and Web of Science databases was conducted from their inception through to 8 April 2024. We assessed the quality of reviews using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and the certainty of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. This study was registered with PROSPERO (CRD: 42024518587). RESULTS Overall, a total of 95 associations from 29 meta-analyses were included, investigating associations between TyG index and 30 health outcomes. Of these, 83 (87.4%) associations were statistically significant (P < 0.05) according to the random effects model. Based on the AMSTAR tool, 16 (55.2%) meta-analyses were high quality and none was low quality. The certainty of the evidence, assessed by the GRADE framework, showed that 6 (6.3%) associations were supported by moderate-quality evidence. When compared with the lowest category of the TyG index, the risk of contrast-induced nephropathy (CIN) [relative risk (RR) = 2.25, 95%CI 1.82, 2.77], the risk of stroke in patients with diabetes mellitus (RR = 1.26, 95%CI 1.18, 1.33) or with acute coronary syndrome disease (RR = 1.56, 95%CI 1.06, 2.28), the prognosis of coronary artery disease (CAD)-non-fatal MI (RR = 2.02, 95%CI 1.32, 3.10), and the severity of CAD including coronary artery stenosis (RR = 3.49, 95%CI 1.71, 7.12) and multi-vessel CAD (RR = 2.33, 95%CI 1.59, 3.42) increased with high TyG index. CONCLUSION We found that the TyG index was positively associated with many diseases including the risk of CIN and stroke, the prognosis of CAD, and the severity of CAD which were supported by moderate-quality evidence. TyG index might be useful to identify people at high-risk for developing these diseases.
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Affiliation(s)
- Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Jing Yang
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Xin-Jian Song
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Jiao Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xing Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fan Cao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue-Li Bai
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Tao Tao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Jian Du
- Department of Endocrinology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility, (China Medical University), National Health Commission, Shenyang, China.
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Yin H, Guo L, Zhu W, Li W, Zhou Y, Wei W, Liang M. Association of the triglyceride-glucose index and its related parameters with frailty. Lipids Health Dis 2024; 23:150. [PMID: 38773587 PMCID: PMC11107008 DOI: 10.1186/s12944-024-02147-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 05/13/2024] [Indexed: 05/24/2024] Open
Abstract
BACKGROUND Frailty is a dynamic geriatric condition. Limited studies have examined the association of the triglyceride-glucose (TyG) index and its related indicators [TyG index, triglyceride glucose-waist to height ratio (TyG-WHtR), triglyceride glucose-waist circumference (TyG-WC), and triglyceride glucose-body mass index (TyG-BMI)] with frailty, and the potential links among them remain unclear. On the basis of data from the National Health and Nutrition Examination Survey (NHANES), this study investigated the potential relationships of the TyG index and its related indices with frailty. METHODS This research included 7,965 participants from NHANES 2003-2018. The relationship of the TyG index and its related indices with frailty was investigated with binary logistic regression analyses, restricted cubic spline (RCS), and receiver operating characteristic (ROC) curve. Potential influences were further investigated through stratified analyses and interaction tests. RESULTS The prevalence of frailty in the participants of this study was 25.59%, with a average frailty index of 0.16 (0.00). In the three regression analysis models, the continuous TyG index and its associated indices were positively associated with frailty. In addition, quartiles of TyG, TyG-WC, TyG-WHtR, and TyG-BMI were significantly associated with increased frailty prevalence in the fully adjusted models (TyG Q4 vs. Q1, OR = 1.58, 95% CI: 1.19, 2.09, P = 0.002; TyG-WC Q4 vs. Q1, OR = 2.40, 95% CI: 1.90, 3.04, P < 0.001; TyG-WHtR Q4 vs. Q1, OR = 2.26, 95% CI: 1.82, 2.81, P < 0.001; TyG- BMI Q4 vs. Q1, OR = 2.16, 95% CI: 1.76, 2.64, P < 0.001). According to RCS analysis, TyG, TyG-WC, TyG-WHtR, and TyG-BMI were linearly and positively associated with frailty. ROC curves revealed that TyG-WHtR (AUC: 0.654) had greater diagnostic value for frailty than TyG (AUC: 0.604), TyG-BMI (AUC: 0.621), and TyG-WC (AUC: 0.629). All of the stratified analyses and interaction tests showed similar results. CONCLUSIONS Elevated TyG and its associaed indices are associated with an increased prevalence of frailty. Reasonable control of blood glucose and blood lipids, and avoidance of obesity, may aid in reducing the occurrence of frailty in middle-aged and older adults.
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Affiliation(s)
- Huangyi Yin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Liuqing Guo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Wei Zhu
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Weishan Li
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yubo Zhou
- Department of Geriatric Endocrinology and Metabolism, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530021, China
| | - Wenyun Wei
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Min Liang
- Department of Geriatric Endocrinology and Metabolism, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, 530021, China.
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Chen Q, Xiong S, Ye T, Gao Y, Wang J, Li X, Li Y, Cui C, Liu H, Zhang Z, Cai L, Zheng J. Insulin resistance, coronary artery lesion complexity and adverse cardiovascular outcomes in patients with acute coronary syndrome. Cardiovasc Diabetol 2024; 23:172. [PMID: 38755609 PMCID: PMC11100181 DOI: 10.1186/s12933-024-02276-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 05/12/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Insulin resistance (IR) is linked to both the complexity of coronary artery lesions and the prognosis of acute coronary syndrome (ACS). However, the precise extent of this correlation and its impact on adverse cardiovascular outcomes in ACS patients remain unclear. Therefore, this study aims to investigate the intricate relationship between IR, coronary artery lesion complexity, and the prognosis of ACS through a cohort design analysis. METHOD A total of 986 patients with ACS who underwent percutaneous coronary intervention (PCI) were included in this analysis. IR was assessed using the triglyceride-glucose (TyG) index, while coronary artery lesion complexity was evaluated using the SYNTAX score. Pearson's correlation coefficients were utilized to analyze the correlations between variables. The association of the TyG index and SYNTAX score with major adverse cardiovascular events (MACEs) in ACS was investigated using the Kaplan-Meier method, restricted cubic splines (RCS), and adjusted Cox regression. Additionally, a novel 2-stage regression method for survival data was employed in mediation analysis to explore the mediating impact of the SYNTAX score on the association between the TyG index and adverse cardiovascular outcomes, including MACEs and unplanned revascularization. RESULTS During a median follow-up of 30.72 months, 167 cases of MACEs were documented, including 66 all-cause deaths (6.69%), 26 nonfatal myocardial infarctions (MIs) (2.64%), and 99 unplanned revascularizations (10.04%). The incidence of MACEs, all-cause death, and unplanned revascularization increased with elevated TyG index and SYNTAX score. Both the TyG index (non-linear, P = 0.119) and SYNTAX score (non-linear, P = 0.004) displayed a positive dose-response relationship with MACEs, as illustrated by the RCS curve. Following adjustment for multiple factors, both the TyG index and SYNTAX score emerged as significant predictors of MACEs across the total population and various subgroups. Mediation analysis indicated that the SYNTAX score mediated 25.03%, 18.00%, 14.93%, and 11.53% of the correlation between the TyG index and MACEs in different adjusted models, respectively. Similar mediating effects were observed when endpoint was defined as unplanned revascularization. CONCLUSION Elevated baseline TyG index and SYNTAX score were associated with a higher risk of MACEs in ACS. Furthermore, the SYNTAX score partially mediated the relationship between the TyG index and adverse cardiovascular outcomes.
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Affiliation(s)
- Qiang Chen
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Shiqiang Xiong
- Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Tao Ye
- Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Jian Wang
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Xingliang Li
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Yike Li
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Caiyan Cui
- Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Hanxiong Liu
- Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Zhen Zhang
- Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Lin Cai
- Department of Cardiology, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China.
| | - Jingang Zheng
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
- Department of Cardiology, China-Japan Friendship Hospital, Beijing, China.
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Luo YD, Gan YY, Liao Q, Li X, Huo RR. Interacting and joint effects of triglyceride-glucose index and hypertension on stroke risk in middle-aged and older Chinese adults: a population-based prospective cohort study. Front Cardiovasc Med 2024; 11:1363049. [PMID: 38812746 PMCID: PMC11133867 DOI: 10.3389/fcvm.2024.1363049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 05/07/2024] [Indexed: 05/31/2024] Open
Abstract
Background Triglyceride-glucose (TyG) index and hypertension were well-established risk factors for stroke. And TyG index was associated with hypertension. However, no prior study has investigated the interactive effects of the TyG index and hypertension on stroke. This study examined whether hypertension mediates associations of TyG index with incident stroke and the extent of interaction or joint relations of TyG index and hypertension with stroke in middle-aged and older Chinese adults. Methods The China Health and Retirement Longitudinal Study (CHARLS) is an ongoing nationally representative prospective cohort study initiated in 2011. This cohort study included 9,145 middle-aged and older Chinese adults without stroke at baseline. The eposures were TyG index and the logarithmized product of hypertension, as determined during the baseline health examination. The main outcome was self-reported physician-diagnosed stroke which followed up from June 1, 2011, to June 30, 2018. Results Of the 9,145 participants, 4,251 were men (46.5%); the mean (SD) age was 59.20 (9.33) years. During a median follow-up of 7.1 years, 637 (7.0%) participants developed stroke. In multivariable-adjusted models, the TyG index was significantly associated with the risk of hypertension [odds ratio (OR) per 1-SD increase, 1.29; 95% CI, 1.19-1.41] and stroke [hazard ratio (HR) per 1-SD increase, 1.16; 95% CI, 1.02-1.33]. Both multiplicative and additive interactions were observed between TyG index and hypertension on stroke (HR for multiplicative: 2.34, 95% CI, 1.57-3.48; Synergy index: 4.13, 95% CI, 2.73-6.25). Mediation analysis showed that 20.0% of the association between TyG index and stroke was mediated through hypertension. Conclusions This study suggests a synergistic effect of TyG index and hypertension on stroke, and a small proportion of the association between TyG index and stroke was mediated by hypertension, indicating the benefit of coordinated control strategies for both exposures.
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Affiliation(s)
- Yun-Dan Luo
- Department of General Practice, Minzu Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Ying-Yuan Gan
- Department of Scientific Research, Minzu Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Qian Liao
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xu Li
- Guangxi Health Commission Key Laboratory of Clinical Biotechnology, Liuzhou People’s Hospital, Liuzhou, China
| | - Rong-Rui Huo
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China
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Zhang K, Han Y, Gao YX, Gu FM, Cai T, Gu ZX, Yu ZJ, Min G, Gao YF, Hu R, Huang MX. Association between the triglyceride glucose index and length of hospital stay in patients with heart failure and type 2 diabetes in the intensive care unit: a retrospective cohort study. Front Endocrinol (Lausanne) 2024; 15:1354614. [PMID: 38800470 PMCID: PMC11127565 DOI: 10.3389/fendo.2024.1354614] [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: 12/12/2023] [Accepted: 03/25/2024] [Indexed: 05/29/2024] Open
Abstract
Background The coexistence of heart failure and diabetes is prevalent, particularly in Intensive Care Units (ICU). However, the relationship between the triglyceride-glucose (TyG) index, heart failure, diabetes, and the length of hospital stay (LHS) in patients with cerebrovascular disease in the ICU remains uncertain. This study aims to investigate the association between the TyG index and LHS in patients with heart failure and diabetes. Methods This retrospective study utilized the Medical Information Mart for Intensive Care (MIMIC)-IV database to analyze patients with diabetes and heart failure. Participants were categorized into quartiles based on the TyG index, and the primary outcome was LHS. The association between the TyG index at ICU admission and LHS was examined through multivariable logistic regression models, restricted cubic spline regression, and subgroup analysis. Results The study included 635 patients with concurrent diabetes and heart failure. The fully adjusted model demonstrated a positive association between the TyG index and LHS. As a tertile variable (Q2 and Q3 vs Q1), the beta (β) values were 0.88 and 2.04, with a 95% confidence interval (95%CI) of -0.68 to 2.44 and 0.33 to 3.74, respectively. As a continuous variable, per 1 unit increment, the β (95% CI) was 1.13 (0.18 to 2.08). The TyG index's relationship with LHS showed linearity (non-linear p = 0.751). Stratified analyses further confirmed the robustness of this correlation. Conclusion The TyG index exhibited a linearly positive association with the LHS in patients with both heart failure and diabetes. Nevertheless, prospective, randomized, controlled studies are imperative to substantiate and validate the findings presented in this investigation.
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Affiliation(s)
- Kai Zhang
- Cardiovascular Surgery Department, The Second Hospital of Jilin University, Changchun, China
| | - Yu Han
- Department of Ophthalmology, First Hospital of Jilin University, Changchun, China
| | - Yu Xuan Gao
- Cardiovascular Surgery Department, The Second Hospital of Jilin University, Changchun, China
| | - Fang Ming Gu
- Cardiovascular Surgery Department, The Second Hospital of Jilin University, Changchun, China
| | - Tianyi Cai
- Department of Ophthalmology, Second Hospital of Jilin University, Changchun, China
| | - Zhao Xuan Gu
- Cardiovascular Surgery Department, The Second Hospital of Jilin University, Changchun, China
| | - Zhao Jia Yu
- Cardiovascular Surgery Department, The Second Hospital of Jilin University, Changchun, China
| | - Gao Min
- Department of Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Ya Fang Gao
- Department of Ophthalmology, Second Hospital of Jilin University, Changchun, China
| | - Rui Hu
- Department of Ophthalmology, Second Hospital of Jilin University, Changchun, China
| | - Mao Xun Huang
- Cardiovascular Surgery Department, The Second Hospital of Jilin University, Changchun, China
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Su C, Wang Z, Qin Z, Lv Y, Hou Y, Zhang G, Cheng M, Cui X, Liu Z, Du P, Liu T, Yuan P, Tang J, Zhang J. TYG Index as a Novel Predictor of Clinical Outcomes in Advanced Chronic Heart Failure with Renal Dysfunction Patients. Clin Interv Aging 2024; 19:639-654. [PMID: 38706634 PMCID: PMC11068055 DOI: 10.2147/cia.s462542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 04/19/2024] [Indexed: 05/07/2024] Open
Abstract
Background The triglyceride-glucose (TYG) index is a novel and reliable marker reflecting insulin resistance. Its predictive ability for cardiovascular disease onset and prognosis has been confirmed. However, for advanced chronic heart failure (acHF) patients, the prognostic value of TYG is challenged due to the often accompanying renal dysfunction (RD). Therefore, this study focuses on patients with aHF accompanied by RD to investigate the predictive value of the TYG index for their prognosis. Methods and Results 717 acHF with RD patients were included. The acHF diagnosis was based on the 2021 ESC criteria for acHF. RD was defined as the eGFR < 90 mL/(min/1.73 m2). Patients were divided into two groups based on their TYG index values. The primary endpoint was major adverse cardiovascular events (MACEs), and the secondary endpoints is all-cause mortality (ACM). The follow-up duration was 21.58 (17.98-25.39) months. The optimal cutoff values for predicting MACEs and ACM were determined using ROC curves. Hazard factors for MACEs and ACM were revealed through univariate and multivariate COX regression analyses. According to the univariate COX regression analysis, high TyG index was identified as a risk factor for MACEs (hazard ratio = 5.198; 95% confidence interval [CI], 3.702-7.298; P < 0.001) and ACM (hazard ratio = 4.461; 95% CI, 2.962-6.718; P < 0.001). The multivariate COX regression analysis showed that patients in the high TyG group experienced 440.2% MACEs risk increase (95% CI, 3.771-7.739; P < 0.001) and 406.2% ACM risk increase (95% CI, 3.268-7.839; P < 0.001). Kaplan-Meier survival analysis revealed that patients with high TyG index levels had an elevated risk of experiencing MACEs and ACM within 30 months. Conclusion This study found that patients with high TYG index had an increased risk of MACEs and ACM, and the TYG index can serve as an independent predictor for prognosis.
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Affiliation(s)
- Chang Su
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Zeyu Wang
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Zhen Qin
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Yan Lv
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Yachen Hou
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Ge Zhang
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Mengdie Cheng
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Xinyue Cui
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Zhiyu Liu
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Pengchong Du
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Tianding Liu
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Peiyu Yuan
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Junnan Tang
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Jinying Zhang
- Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
- Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China
- Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China
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Huang Y, Li Z, Yin X. Long-term survival in stroke patients: insights into triglyceride-glucose body mass index from ICU data. Cardiovasc Diabetol 2024; 23:137. [PMID: 38664780 PMCID: PMC11046846 DOI: 10.1186/s12933-024-02231-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND The Triglyceride Glucose-Body Mass Index (TyG-BMI) has been established as a robust indicator of insulin resistance (IR), reflecting metabolic health across various populations. In general, lower TyG-BMI values are often associated with better metabolic health outcomes and a reduced risk of adverse health events in non-critically ill populations. Previous studies have highlighted a significant negative association between TyG-BMI and all-cause mortality (ACM) among critically ill atrial fibrillation patients. Given the high prevalence and severe outcomes associated with stroke, understanding how TyG-BMI at the time of ICU admission correlates with ACM in critically ill stroke patients becomes imperative. This study aims to assess the correlation between TyG-BMI and ACM in this specific patient cohort, exploring how traditional associations between TyG-BMI and metabolic health may differ in the context of acute, life-threatening illness. METHODS Patient data were retrieved by accessing the Medical Information Mart for Intensive Care IV (MIMIC-IV 2.2) database, categorizing patients into three groups on the basis of TyG-BMI tertiles. The study evaluated both primary and secondary outcomes: the primary outcomes included the 90-day, 180-day, and 1-year ACM, while secondary outcomes encompassed ICU, in-hospital, and 30-day ACM. Our study employed the Kaplan-Meier (K-M) curve method for outcome comparison across the groups while utilizing multivariate Cox proportional-hazards regression models and restricted cubic splines (RCS) to explore TyG-BMI association with these outcomes. Additionally, interaction and subgroup analyses were performed, focusing on different mortality time points. RESULTS Among a cohort of 1707 individuals diagnosed with stroke, the average age was 68 years (interquartile range [IQR]: 58-78 years), with 946 (55.42%) of the participants being male. The analysis of K-M curves suggested that patients having a lower TyG-BMI level faced a heightened risk of long-term ACM, whereas the short-term ACM exhibited no statistically significant differences across the three TyG-BMI groups. Furthermore, Cox proportional-hazards regression analysis validated a statistically significant increased risk of long-term ACM among patients belonging to the lowest TyG-BMI tertile. Additionally, RCS analysis results demonstrated L-shaped correlations between the TyG-BMI index and both short- and long-term ACM. These findings underscore the TyG-BMI predictive value for long-term mortality in stroke patients, highlighting a nuanced relationship that varies over different time frames. The results revealed no interactions between TyG-BMI and the stratified variables, with the exception of age. CONCLUSION In our study, lower TyG-BMI levels in critically ill stroke patients are significantly related to a higher risk of long-term ACM within the context of the United States. This finding suggests the potential of TyG-BMI as a marker for stratifying long-term risk in this patient population. However, it's crucial to note that this association was not observed for short-term ACM, indicating that the utility of TyG-BMI may be more pronounced in long-term outcome prediction. Additionally, our conclusion that TyG-BMI could serve as a reliable indicator for managing and stratifying stroke patients over the long term is preliminary. To confirm our findings and assess the universal applicability of TyG-BMI as a prognostic tool, it is crucial to conduct rigorously designed research across various populations.
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Affiliation(s)
- Yongwei Huang
- Department of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
| | - Zongping Li
- Department of Neurosurgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
| | - Xiaoshuang Yin
- Department of Immunology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
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Liu Y, Kong Y, Yan Y, Hui P. Explore the value of carotid ultrasound radiomics nomogram in predicting ischemic stroke risk in patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2024; 15:1357580. [PMID: 38706699 PMCID: PMC11066235 DOI: 10.3389/fendo.2024.1357580] [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: 12/18/2023] [Accepted: 04/08/2024] [Indexed: 05/07/2024] Open
Abstract
Background and objective Type 2 Diabetes Mellitus (T2DM) with insulin resistance (IR) is prone to damage the vascular endothelial, leading to the formation of vulnerable carotid plaques and increasing ischemic stroke (IS) risk. The purpose of this study is to develop a nomogram model based on carotid ultrasound radiomics for predicting IS risk in T2DM patients. Methods 198 T2DM patients were enrolled and separated into study and control groups based on IS history. After manually delineating carotid plaque region of interest (ROI) from images, radiomics features were identified and selected using the least absolute shrinkage and selection operator (LASSO) regression to calculate the radiomics score (RS). A combinatorial logistic machine learning model and nomograms were created using RS and clinical features like the triglyceride-glucose index. The three models were assessed using area under curve (AUC) and decision curve analysis (DCA). Results Patients were divided into the training set and the testing set by the ratio of 0.7. 4 radiomics features were selected. RS and clinical variables were all statically significant in the training set and were used to create a combination model and a prediction nomogram. The combination model (radiomics + clinical nomogram) had the largest AUC in both the training set and the testing set (0.898 and 0.857), and DCA analysis showed that it had a higher overall net benefit compared to the other models. Conclusions This study created a carotid ultrasound radiomics machine-learning-based IS risk nomogram for T2DM patients with carotid plaques. Its diagnostic performance and clinical prediction capabilities enable accurate, convenient, and customized medical care.
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Affiliation(s)
| | | | | | - Pinjing Hui
- Department of Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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20
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Fang Y, Xiong B, Shang X, Yang F, Yin Y, Sun Z, Wu X, Zhang J, Liu Y. Triglyceride-glucose index predicts sepsis-associated acute kidney injury and length of stay in sepsis: A MIMIC-IV cohort study. Heliyon 2024; 10:e29257. [PMID: 38617935 PMCID: PMC11015450 DOI: 10.1016/j.heliyon.2024.e29257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 03/23/2024] [Accepted: 04/03/2024] [Indexed: 04/16/2024] Open
Abstract
Background Inflammation and stress response may be related to the occurrence of sepsis-associated acute kidney injury (SA-AKI) in patients with sepsis.Insulin resistance (IR) is closely related to the stress response, inflammatory response, immune response and severity of critical diseases. We assume that the triglyceride-glucose (TyG) index, an alternative indicator for IR, is associated with the occurrence of SA-AKI in patients with sepsis. Methods Data were obtained from The Medical Information Mart for Intensive Care-IV(MIMIC-IV) database in this retrospective cohort study. Univariate and multivariate logistic regression analysis and multivariate restricted cubic spline(RCS) regression were conducted to evaluate the association between TyG index and SA-AKI, length of stay (LOS). Subgroup and sensitivity analyses were performed to verify the robustness of the results. Results The study ultimately included data from 1426 patients with sepsis, predominantly of white ethnicity (59.2%) and male sex (56.4%), with an SA-AKI incidence rate of 78.5%. A significant linear association was observed between the TyG index and SA-AKI (OR, 1.40; 95% confidence interval(CI) [1.14-1.73]). Additionally, the TyG index demonstrated a significant correlation with the length of stay (LOS) in both the hospital (β, 1.79; 95% CI [0.80-2.77]) and the intensive care unit (ICU) (β, 1.30; 95% CI [0.80-1.79]). Subgroup and sensitivity analyses confirmed the robustness of these associations. Conclusion This study revealed a strong association between the TyG index and both SA-AKI and length of stay in patients with sepsis. These findings suggest that the TyG index is a potential predictor of SA-AKI and the length of hospitalization in sepsis cases, broadening its application in this context. However, further research is required to confirm whether interventions targeting the TyG index can genuinely enhance the clinical outcomes of patients with sepsis.
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Affiliation(s)
| | | | | | | | - Yuehao Yin
- Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, Shanghai, 200032, China
| | - Zhirong Sun
- Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, Shanghai, 200032, China
| | - Xin Wu
- Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, Shanghai, 200032, China
| | - Jun Zhang
- Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, Shanghai, 200032, China
| | - Yi Liu
- Corresponding author. Department of Anesthesiology, Shanghai Cancer Centre, Fudan University, No. 270 Dong an Road, Shanghai, 200032, China.
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Jia S, Yin Y, Mou X, Zheng J, Li Z, Hu T, Zhao J, Lin J, Song J, Cheng F, Wang Y, Li K, Lin W, Feng C, Ge W, Xia S. Association between triglyceride-glucose index trajectories and radiofrequency ablation outcomes in patients with stage 3D atrial fibrillation. Cardiovasc Diabetol 2024; 23:121. [PMID: 38581024 PMCID: PMC10998403 DOI: 10.1186/s12933-024-02219-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 03/29/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND This study investigates the relationship between triglyceride-glucose (TyG) index trajectories and the results of ablation in patients with stage 3D atrial fibrillation (AF). METHODS A retrospective cohort study was carried out on patients who underwent AF Radiofrequency Catheter Ablation (RFCA) at the Cardiology Department of the Fourth Affiliated Hospital of Zhejiang University and Taizhou Hospital of Zhejiang Province from January 2016 to December 2022. The main clinical endpoint was determined as the occurrence of atrial arrhythmia for at least 30 s following a 3-month period after ablation. Using a latent class trajectory model, different trajectory groups were identified based on TyG levels. The relationship between TyG trajectory and the outcome of AF recurrence in patients was assessed through Kaplan-Meier survival curve analysis and multivariable Cox proportional hazards regression model. RESULTS The study included 997 participants, with an average age of 63.21 ± 9.84 years, of whom 630 were males (63.19%). The mean follow-up period for the participants was 30.43 ± 17.75 months, during which 200 individuals experienced AF recurrence. Utilizing the minimum Bayesian Information Criterion (BIC) and the maximum Entropy principle, TyG levels post-AF RFCA were divided into three groups: Locus 1 low-low group (n = 791), Locus 2 low-high-low group (n = 14), and Locus 3 high-high group (n = 192). Significant differences in survival rates among the different trajectories were observed through the Kaplan-Meier curve (P < 0.001). Multivariate Cox regression analysis showed a significant association between baseline TyG level and AF recurrence outcomes (HR = 1.255, 95% CI: 1.087-1.448). Patients with TyG levels above 9.37 had a higher risk of adverse outcomes compared to those with levels below 8.67 (HR = 2.056, 95% CI: 1.335-3.166). Furthermore, individuals in Locus 3 had a higher incidence of outcomes compared to those in Locus 1 (HR = 1.580, 95% CI: 1.146-2). CONCLUSION The TyG trajectories in patients with stage 3D AF are significantly linked to the outcomes of AF recurrence. Continuous monitoring of TyG levels during follow-up may help in identifying patients at high risk of AF recurrence, enabling the early application of effective interventions.
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Affiliation(s)
- Sixiang Jia
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Yanping Yin
- Department of Cardiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Dongdu Road Linhai, Linhai, Zhejiang Province, 317000, China
- Laboratory of Cardiovascular Disease, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, 317000, China
| | - Xuanting Mou
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Jing Zheng
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
- QuzhouPeoplès Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, Zhejiang Province, 324000, China
| | - Zhe Li
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Tianli Hu
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Jianqiang Zhao
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Jiangbo Lin
- Department of Cardiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Dongdu Road Linhai, Linhai, Zhejiang Province, 317000, China
- Laboratory of Cardiovascular Disease, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, 317000, China
| | - Jiaqi Song
- Department of Endocrinology, Yiwu Central Hospital, Yiwu, 322000, China
| | - Fanli Cheng
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Yiran Wang
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Kaini Li
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Wenting Lin
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Chao Feng
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China
| | - Weili Ge
- Department of Cardiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Dongdu Road Linhai, Linhai, Zhejiang Province, 317000, China.
- Laboratory of Cardiovascular Disease, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, 317000, China.
| | - Shudong Xia
- Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
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Behnoush AH, Mousavi A, Ghondaghsaz E, Shojaei S, Cannavo A, Khalaji A. The importance of assessing the triglyceride-glucose index (TyG) in patients with depression: A systematic review. Neurosci Biobehav Rev 2024; 159:105582. [PMID: 38360331 DOI: 10.1016/j.neubiorev.2024.105582] [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: 11/30/2023] [Revised: 02/08/2024] [Accepted: 02/10/2024] [Indexed: 02/17/2024]
Abstract
Insulin resistance (IR) has been proposed as a potential risk factor for depression, a major common disorder affecting a significant proportion of adults worldwide. Based on this premise, this study systematically investigated all the studies examining the triglyceride-glucose (TyG) index, a surrogate marker of IR, in patients with depression or suicidal ideas/attempts. Four online databases (PubMed, Scopus, Embase, and Web of Science) were comprehensively searched. After screening, seven studies were included, comprised of 58,981 participants and 46.4% male. While there were some discrepancies among the reports of studies, most of the included studies reported higher levels of TyG index in patients with depression. Moreover, in most cases, a 1-unit increase in the TyG index was associated with significantly higher odds of depression. At last, higher TyG levels were associated with suicidal ideation and attempts. Therefore, this study emphasizes the critical need to further research in this regard and possibly integrate the TyG index measure with routine depression screening to avoid fatal events in the future.
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Affiliation(s)
| | - Asma Mousavi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Elina Ghondaghsaz
- Undergraduate Program in Neuroscience, University of British Columbia, Vancouver, BC, Canada
| | - Shayan Shojaei
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Alessandro Cannavo
- Department of Translational Medical Sciences, Federico II University of Naples, Italy
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Ouyang Q, Xu L, Zhang Y, Huang L, Du Y, Yu M. Relationship between glycated hemoglobin levels at admission and chronic post-stroke fatigue in patients with acute ischemic stroke. Exp Gerontol 2024; 188:112395. [PMID: 38452990 DOI: 10.1016/j.exger.2024.112395] [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: 01/27/2024] [Revised: 02/28/2024] [Accepted: 03/04/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Chronic Post-Stroke Fatigue (PSF) is a common and persistent complications among ischemic stroke survivors. The serum glycated hemoglobin (HbA1c) level, as it is known has emerged as a critical risk factor for Acute Ischemic Stroke (AIS) and post-stroke cognitive and emotional impairment. However, no studies have been conducted on the link between HbA1c and PSF. Therefore, this study aims to estimate the relationship between HbA1c and PSF in the chronic phase. METHODS A longitudinal study was conducted on 559 patients diagnosed with their first AIS episode and admitted to Suining Central Hospital within three days after onset. All patients were examined for serum HbA1c, blood glucose levels and routine blood biochemical indicators at admission. The Fatigue Severity Scale (FSS) was employed to assess fatigue symptoms at six months post-stroke. Multivariate logistic regression and smooth curve fitting were used to analyze the relationship between admission HbA1c, blood glucose levels, discharge blood glucose and PSF, and the predictive value of HbA1c on PSF was assessed using a segmented linear regression model. RESULTS 189(33.8 %)of the 559 patients included in the study, reported PSF at six-month follow-up. Compared with the non-PSF group, the PSF group displayed significantly higher levels of HbA1c (7.8 ± 3.0 vs 6.5 ± 2.0 %, P < 0.001), admission blood glucose (7.8 ± 3.8 vs 7.1 ± 3.5 mmol/L, P = 0.041), and discharge blood glucose (6.3 ± 1.6 vs 5.8 ± 1.2 mmol/L, P < 0.001). The dose-response relationship among admission HbA1c, blood glucose, discharge blood glucose and PSF showed that HbA1c level is positively and non-linearly related to the risk of PSF. A linear positive correlation is noted between PSF and discharge blood glucose levels, while no significant correlation was observed for the blood glucose levels upon admission. CONCLUSIONS Higher HbA1c levels at admission were independently associated with the risk of chronic PSF, the correlation between blood glucose and PSF showed significant variability, HbA1c may serve as a more stable risk factor in predicting the occurrence of chronic PSF and long-term active glycemic management may have a favorable impact on chronic PSF after AIS.
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Affiliation(s)
- Qingrong Ouyang
- Department of Neurology, Suining Central Hospital, Suining 629000, China
| | - Lei Xu
- Department of Neurology, Suining Central Hospital, Suining 629000, China
| | - Yunwei Zhang
- Department of Neurology, Suining Central Hospital, Suining 629000, China
| | - Luwen Huang
- Department of Neurology, Suining Central Hospital, Suining 629000, China
| | - Yang Du
- Department of Neurology, Suining Central Hospital, Suining 629000, China
| | - Ming Yu
- Department of Neurology, Suining Central Hospital, Suining 629000, China.
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Huang Y, Li Z, Yin X. Triglyceride-glucose index: a novel evaluation tool for all-cause mortality in critically ill hemorrhagic stroke patients-a retrospective analysis of the MIMIC-IV database. Cardiovasc Diabetol 2024; 23:100. [PMID: 38500198 PMCID: PMC10949583 DOI: 10.1186/s12933-024-02193-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 03/09/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND Hemorrhagic stroke (HS), including non-traumatic intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH), constitutes a substantial proportion of cerebrovascular incidents, accounting for around 30% of stroke cases. The triglyceride-glucose index (TyG-i) represents a precise insulin resistance (IR) indicator, a crucial metabolic disturbance. Existing literature has demonstrated an association between TyG-i and all-cause mortality (ACM) among individuals suffering from ischemic stroke (IS). Yet, the TyG-i prognostic implications for severe HS patients necessitating intensive care unit (ICU) admission are not clearly understood. Considering the notably elevated mortality and morbidity associated with HS relative to IS, investigating this association is warranted. Our primary aim was to investigate TyG-i and ACM association among critically ill HS patients within an ICU context. METHODS Herein, patients with severe HS were identified by accessing the Medical Information Mart for Intensive Care-IV (MIMIC-IV, version 2.2) database, using the International Classification of Diseases (ICD)-9/10 as diagnostic guidelines. Subsequently, we stratified the subjects into quartiles, relying on their TyG-i scores. Moreover, we measured mortality at ICU, in-hospital, 30 days, 90 days, and 1 year as the outcomes. Cox proportional hazards regression analysis and restricted cubic splines (RCS) were deployed for elucidating the relation between the TyG-i and ACM while utilizing the Kaplan-Meier (K-M) method to estimate survival curves. The findings' robustness was assessed by conducting subgroup analysis and interaction tests employing likelihood ratio tests. RESULTS The analysis included 1475 patients, with a male predominance of 54.4%. Observed mortality rates in the ICU, hospital, 30 days, 90 days, and 1 year were 7.3%, 10.9%, 13.8%, 19.7%, and 27.3%, respectively. Multivariate Cox regression analysis results manifested that heightened TyG-i was significantly related to ACM at 30 days (adjusted hazard ratio [aHR]: 1.32; 95% confidence interval [CI]: 1.05-1.67; P = 0.020), 90 days (aHR: 1.27; 95% CI: 1.04-1.55; P = 0.019), and 1 year (aHR: 1.22; 95% CI: 1.03-1.44; P = 0.023). The results of RCS analysis demonstrated a progressive elevation in ACM risk with rising TyG-i levels. Interaction tests found no significant effect modification in this relationship. CONCLUSION In summary, TyG-i exhibits a significant correlation with ACM among patients enduring critical illness due to HS. This correlation underscores the probable utility of TyG-i as a prognostic tool for stratifying HS patients according to their risk of mortality. Applying TyG-i in clinical settings could enhance therapeutic decision-making and the management of disease trajectories. Additionally, this investigation augments existing research on the linkage between the TyG-i and IS, elucidating the TyG-i's role in predicting mortality across diverse stroke categories.
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Affiliation(s)
- Yongwei Huang
- Department of Neurosurgery, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
| | - Zongping Li
- Department of Neurosurgery, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan, China
| | - Xiaoshuang Yin
- Department of Immunology, School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
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Shao Y, Hu H, Li Q, Cao C, Liu D, Han Y. Link between triglyceride-glucose-body mass index and future stroke risk in middle-aged and elderly chinese: a nationwide prospective cohort study. Cardiovasc Diabetol 2024; 23:81. [PMID: 38402161 PMCID: PMC10893757 DOI: 10.1186/s12933-024-02165-7] [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: 12/14/2023] [Accepted: 02/14/2024] [Indexed: 02/26/2024] Open
Abstract
OBJECTIVE Current literature is deficient in robust evidence delineating the correlation between the triglyceride glucose-body mass index (TyG-BMI) and the incidence of stroke. Consequently, this investigation seeks to elucidate the potential link between TyG-BMI and stroke risk in a cohort of middle-aged and senior Chinese individuals. METHODS This study employs longitudinal data from four waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, and 2018, encompassing 8,698 participants. The CHARLS cohort was assembled using a multistage probability sampling technique. Participants underwent comprehensive evaluations through standardized questionnaires administered via face-to-face interviews. Our analytic strategy involved the application of Cox proportional hazards regression models to investigate the association between TyG-BMI and the risk of stroke. To discern potential non-linear relationships, we incorporated Cox proportional hazards regression with smooth curve fitting. Additionally, we executed a battery of sensitivity and subgroup analyses to validate the robustness of our findings. RESULTS Our study utilized a multivariate Cox proportional hazards regression model and found a significant correlation between the TyG-BMI and the risk of stroke. Specifically, a 10-unit increase in TyG-BMI corresponded to a 4.9% heightened risk of stroke (HR = 1.049, 95% CI 1.029-1.069). The analysis also uncovered a non-linear pattern in this relationship, pinpointed by an inflection point at a TyG-BMI value of 174.63. To the left of this inflection point-meaning at lower TyG-BMI values-a 10-unit hike in TyG-BMI was linked to a more substantial 14.4% rise in stroke risk (HR 1.144; 95% CI 1.044-1.253). Conversely, to the right of the inflection point-at higher TyG-BMI values-each 10-unit increment was associated with a smaller, 3.8% increase in the risk of stroke (HR 1.038; 95% CI 1.016-1.061). CONCLUSIONS In the middle-aged and elderly Chinese population, elevated TyG-BMI was significantly and positively associated with stroke risk. In addition, there was also a specific non-linear association between TyG-BMI and stroke (inflection point 174.63). Further reduction of TyG-BMI below 174.63 through lifestyle changes and dietary control can significantly reduce the risk of stroke.
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Affiliation(s)
- Yuankai Shao
- Department of Emergency, Shenzhen Second People's Hospital,The First Affiliated Hospital of Shenzhen University, No. 3002 Sungang Road, Futian District, Shenzhen, 518035, Guangdong, China
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People's Hospital, Shenzhen, 518035, Guangdong, China
| | - Qiming Li
- Department of Emergency, Shenzhen Second People's Hospital,The First Affiliated Hospital of Shenzhen University, No. 3002 Sungang Road, Futian District, Shenzhen, 518035, Guangdong, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, 518000, Guangdong, China
| | - Dehong Liu
- Department of Emergency, Shenzhen Second People's Hospital,The First Affiliated Hospital of Shenzhen University, No. 3002 Sungang Road, Futian District, Shenzhen, 518035, Guangdong, China.
| | - Yong Han
- Department of Emergency, Shenzhen Second People's Hospital,The First Affiliated Hospital of Shenzhen University, No. 3002 Sungang Road, Futian District, Shenzhen, 518035, Guangdong, China.
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Azarboo A, Behnoush AH, Vaziri Z, Daneshvar MS, Taghvaei A, Jalali A, Cannavo A, Khalaji A. Assessing the association between triglyceride-glucose index and atrial fibrillation: a systematic review and meta-analysis. Eur J Med Res 2024; 29:118. [PMID: 38347644 PMCID: PMC10860290 DOI: 10.1186/s40001-024-01716-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/06/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND An essential relationship between insulin resistance (IR) and atrial fibrillation (AF) has been demonstrated. Among the methods used to assess IR, the triglyceride-glucose (TyG) index is the more straightforward, dimensionless, and low-cost tool. However, the possible usage of this index in clinical practice to predict and diagnose AF has yet to be determined and consolidated. OBJECTIVE AND RATIONALE Herein, we performed a systematic review and meta-analysis to assess the association between the TyG index and AF. METHODS Databases (PubMed, Embase, Scopus, and Web of Science) were systematically searched for studies evaluating the TyG index in AF. The inclusion criteria were observational studies investigating AF and TyG index correlation in individuals older than 18 years, while preclinical studies and those without the relevant data were excluded. Random effect meta-analyses comparing TyG levels between AF and non-AF cases, AF recurrence after radiofrequency ablation, and post-procedural AF were performed using standardized mean differences (SMD) with their matching 95% confidence intervals (CIs). RESULTS Our screening identified nine studies to be analyzed, including 6,171 participants including 886 with AF. The meta-analysis demonstrated that the TyG index resulted higher in patients with AF than non-AF counterparts (SMD 1.23, 95% CI 0.71 to 1.75, I2 98%, P < 0.001). Subgroup analysis showed the same results for post-procedure AF (SMD 0.99, 95% CI 0.78 to 1.20, I2 10%, P < 0.001) and post-ablation AF (SMD 1.25, 95% CI 1.07 to 1.43, I2 46%, P < 0.001), while no difference was found in population-based cohorts (SMD 1.45, 95% CI - 0.41 to 3.31, I2 100%, P = 0.13). Publication year (P = 0.036) and sample size (P = 0.003) showed significant associations with the effect size, using multivariable meta-regression. CONCLUSION The TyG index is an easy-to-measure surrogate marker of IR in patients with AF. Further clinical studies are warranted to demonstrate its ability for routine clinical use and as a screening tool.
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Affiliation(s)
- Alireza Azarboo
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran
| | - Amir Hossein Behnoush
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran.
| | - Zahra Vaziri
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- Student Research Committee, Babol University of Medical Sciences, Babol, Iran
| | - Mohammad Shahabaddin Daneshvar
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran
| | - Aryan Taghvaei
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran
| | - Arash Jalali
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Alessandro Cannavo
- Department of Translational Medical Sciences, Federico II University of Naples, Naples, Italy
| | - Amirmohammad Khalaji
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., Tehran, 1417613151, Iran
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Lin J, Dong L, Huang Q, Xiao H, Li S, Tang J, Mao X, Huang P, Li X, Hong D. TG/HDL-c ratio as a predictor of progressive infarction in patients with anterior circulation single subcortical infarction. Brain Behav 2024; 14:e3453. [PMID: 38409927 PMCID: PMC10897359 DOI: 10.1002/brb3.3453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/24/2023] [Accepted: 02/06/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND The contributors predicting progressive infarction (PI) in patients with anterior circulation single subcortical infarction (ACSSI) and pontine single infarction (PSI) may be unidentical. The role of triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio on PI is unclear. The purpose of our study is to evaluate the correlation between TG/HDL-c ratio and PI in patients with ACSSI or PSI. METHODS Between January 2020 and October 2022, we retrospectively enrolled 738 patients including 638 ACSSI patients and 100 PSI patients to analyze. Demographic characteristics, clinical information, and laboratory data were collected within 24 h of admission. RESULTS PI occurred in 143 (19.4%) patients. In univariate analysis, patients with PI had higher initial National Institutes of Health Stroke Scale (NIHSS) scores, higher discharge NIHSS scores, higher levels of fasting glucose, total cholesterol, TG, low-density lipoprotein cholesterol, and TG/HDL-c ratio, but lower levels of creatinine compared to patients with non-PI (p < .05). Furthermore, the results of the subgroup analyses revealed the independent association between TG/HDL-c ratio and PI in ACSSI patients (OR 1.079, 95% CI 1.009-1.153, p = .026) rather than in PSI patients. Additionally, a receiver operating characteristic curve indicated that the optimal predictive cutoff value of the TG/HDL-c ratio was 3.985, and a TG/HDL-c ratio ≥3.985 was more likely to experience PI in ACSSI patients. CONCLUSION In conclusion, the TG/HDL-c ratio was independently associated with PI in patients with ACSSI.
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Affiliation(s)
- Jing Lin
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Liangbin Dong
- Department of NeurologyGaoxin Branch of The First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Qin Huang
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Hui Xiao
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Shumeng Li
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Jincai Tang
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Xiaocheng Mao
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Pengcheng Huang
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Xiaobing Li
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
| | - Daojun Hong
- Department of NeurologyThe First Affiliated Hospital of Nanchang UniversityNanchangJiangxiChina
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Ding Z, Ge M, Tan Y, Chen C, Hei Z. The triglyceride-glucose index: a novel predictor of stroke and all-cause mortality in liver transplantation recipients. Cardiovasc Diabetol 2024; 23:27. [PMID: 38218842 PMCID: PMC10787491 DOI: 10.1186/s12933-023-02113-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 12/29/2023] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index, identified as a reliable indicator of insulin resistance (IR), was reported to be associated with stroke recurrence and morbidity in the general population and critically ill patients. However, the relationship in liver transplantation (LT) recipients remains unknown. This study aimed to investigate the correlation between the TyG index and post-LT stroke along with all-cause mortality and further assess the influence of IR on the LT recipients' prognosis. METHODS The retrospective cohort study enrolled 959 patients who underwent LT at a university-based medical centre between January 2015 and January 2021. The participants were divided into three groups according to their TyG index tertiles. The primary outcome was post-LT stroke. Multivariate logistic regression, COX proportional hazards regression, and restricted cubic spline RCS were used to examine the association between the TyG index and outcomes in LT recipients. RESULTS With a median TyG index of 8.23 (7.78-8.72), 780 (87.18% males) patients were eventually included. The incidence of post-LT stroke was 5.38%, and the in-hospital, 1-year, and 3-year mortality rates were 5.54%, 13.21%, and 15.77%, respectively. Multivariate regression analysis showed an independent association between the TyG index and an increased risk of post-LT stroke [adjusted odds ratio (aOR), 3.398 (95% confidence interval [CI]: 1.371-8.426) P = 0. 008], in-hospital mortality [adjusted hazard ratio (aHR), 2.326 (95% CI: 1.089-4.931) P = 0.025], 1-year mortality [aHR, 1.668 (95% CI: 1.024-2.717) P = 0.039], and 3-year mortality [aHR, 1.837 (95% CI: 1.445-2.950) P = 0.012]. Additional RCS analysis also suggested a linear increase in the risk of postoperative stroke with elevated TyG index (P for nonlinearity = 0.480). CONCLUSIONS The TyG index may be a valuable and reliable indicator for assessing stroke risk and all-cause mortality in patients undergoing LT, suggesting its potential relevance in improving risk stratification during the peri-LT period.
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Affiliation(s)
- Zhendong Ding
- Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China
| | - Mian Ge
- Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China
| | - Yuexiang Tan
- SageRAN Technology, No. 9-11 Keyun Road, Guangzhou, 510000, China
| | - Chaojin Chen
- Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
- Center of Big Data and Artificial Intelligence, The Third Affiliated Hospital of Sun Yat-sen University, No.600 Tianhe Road, Guangzhou, 510630, China.
| | - Ziqing Hei
- Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
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Tutal Gürsoy G, Görgülü Ü, Tengirşenk Z, Bektas H. The relationship between temporal muscle thickness and triglyceride glucose index in sarcopenia with mortality and third-month functional outcomes in patients after acute stroke. Medicine (Baltimore) 2023; 102:e35886. [PMID: 37933015 PMCID: PMC10627668 DOI: 10.1097/md.0000000000035886] [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: 09/08/2023] [Accepted: 10/11/2023] [Indexed: 11/08/2023] Open
Abstract
Especially in recent years, temporal muscle thickness has been used as an important parameter for sarcopenia in neurological disorders. In addition, triglyceride glucose index was evaluated separately in studies conducted in terms of coronary diseases, diabetes, high blood pressure, body mass index and acute stroke. In this clinical study, unlike the others, both temporal muscle thickness and triglyceride glucose index were evaluated together in acute stroke patients in terms of sarcopenia. We aimed to investigate the relationship between temporal muscle thickness and triglyceride glucose index, which is atherosclerotic index, with mortality and 3rd month functional outcomes in acute stroke patients. In this retrospective study, 147 patients admitted to Ankara City Hospital with the diagnosis of acute ischemic stroke between January 2021 and September 2022 were evaluated. Fasting triglyceride glucose indexes of the patients were calculated. The temporal muscle thickness measurement of the patients was performed by the radiologist using computed tomography images. Those who scored 3 or higher on the modified Rankin Scale (mRS) at the third month were considered to have poor functional outcome. A significant cutoff point was found for estimating mortality for the temporal muscle thickness parameter [area under the curve for a receiver operating characteristic curve (AUC) = 0.636; P = .012]. The cutoff point was obtained as ≤ 5.2. Sensitivity value was 65%, specificity value was 65%, the positive predictive value (PPV) value was 42.62% and the negative predictive value (NPV) value was 82.28%. Similarly, for the triglyceride glucose index parameter, there was a significant cutoff point in estimating mortality (AUC = 0.673; P = .003). The cutoff point was obtained as ≥ 8.23. Sensitivity value was 91.18%, specificity value was 13%, PPV value was 26.96% and NPV value was 81%. Temporal muscle thickness and triglyceride glucose index parameters were found to be statistically important parameters of sarcopenia. It was concluded that the evaluation of these 2 parameters in terms of both mortality and sarcopenia in acute stroke patients is important in the evaluation of neurological and cardiac disorders.
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Affiliation(s)
| | - Ümit Görgülü
- Health Science University Faculty of Medicine, Ankara City Hospital Department of Neurology, Ankara, Turkey
| | | | - Hesna Bektas
- Ankara Yildirim Beyazit University, Faculty of Medicine, Ankara City Hospital Department of Neurology, Ankara, Turkey
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Xiang X, Zhu X, Zhang L. Association of Malnutrition with Risk of Acute Kidney Injury: A Systematic Review and Meta-Analysis. Int J Clin Pract 2023; 2023:9910718. [PMID: 37795077 PMCID: PMC10547578 DOI: 10.1155/2023/9910718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 09/09/2023] [Accepted: 09/11/2023] [Indexed: 10/06/2023] Open
Abstract
Background Acute kidney injury (AKI) is a complex clinical syndrome of hospitalization that may be affected by undernutrition and metabolic changes. The aim of this meta-analysis was to systematically assess the association between malnutrition and the risk of prevalent AKI. Materials and Methods We searched PubMed, Embase, Ovid MEDLINE, Web of Science, and Chinese databases (WANFANG, VIP, and CKI) from database inception until May 1, 2023, for studies evaluating the association of malnutrition with the risk of AKI. Summary odds ratios (ORs) were estimated using a random-effects model. Results We identified 17 observational studies, which included 273,315 individuals. Compared with patients with normal nutritional status, those with malnutrition had a 125% increased risk of prevalent AKI (pooled ORs, 2.25; 95% confidence interval, 1.80-2.82). Malnutrition was also significantly associated with prevalent AKI across all subgroups when subgroup analyses were performed on covariates such as region, study design, age, sample size, malnutrition assessment method, patient characteristics, covariate adjustment degree, and risk of bias. Meta-regression models demonstrated no significant differences in AKI risk between patients with malnutrition and without malnutrition. Conclusions Our results suggest that malnutrition may be a potential target for AKI prevention. However, well-designed studies with ethnically or geographically diverse populations are needed to evaluate strategies and interventions to prevent or slow the development and progression of AKI in malnourished individuals.
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Affiliation(s)
- Xiang Xiang
- Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Critical Care Medicine, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu 611137, China
| | - Xinchen Zhu
- Department of Internal Medicine, Traditional Chinese Medicine Hospital of Wenjiang District, Chengdu 611130, China
| | - Lijuan Zhang
- Geriatric Diseases Institute of Chengdu/Cancer Prevention and Treatment Institute of Chengdu, Department of Critical Care Medicine, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu 611137, China
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Huang R, Xu X, Xu C, Zhang S, Xiong Z, Liu M, Huang Y, Wen H, Guo Y, Liao X, Zhuang X. Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study. Cardiovasc Diabetol 2023; 22:238. [PMID: 37660027 PMCID: PMC10475183 DOI: 10.1186/s12933-023-01975-5] [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: 07/14/2023] [Accepted: 08/25/2023] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear. METHODS This study enrolled 317 patients with moderate to severe AS at the First Affiliated Hospital of Sun Yat-Sen University. The patients were grouped according to the cut-off value of the TyG index. Cox regression with Firth's penalized maximum likelihood method and restricted cubic splines regression were conducted to assess the association between the TyG index and all-cause mortality. The added value of the TyG index included in the traditional risk factors model for outcome prediction was also analyzed. RESULTS Among 317 patients (mean age 67.70 years, 62.8% male), there was 84 all-cause mortality during a median 38.07 months follow-up. After fully adjusting for confounders, a per-unit increase in the TyG index was associated with a 62% higher all-cause mortality risk (HR 1.622, 95% CI 1.086-2.416, p = 0.018). The restricted cubic splines regression model revealed a linear association between the TyG index and the risk of all-cause mortality (p for nonlinearity = 0.632). The addition of the TyG index in the basic risk model has an incremental effect on the prediction of mortality [C-statistic change from 0.755 to 0.768; continuous net reclassification improvement (95% CI): 0.299 (0.051-0.546), p = 0.017; integrated discrimination improvement: 0.017 (0.001-0.033), p = 0.044]. CONCLUSIONS Higher IR assessed by the TyG index was associated with a higher risk of all-cause mortality in patients with moderate and severe AS.
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Affiliation(s)
- Rihua Huang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Xinghao Xu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Chaoguang Xu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Shaozhao Zhang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Zhenyu Xiong
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Menghui Liu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Yiquan Huang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Han Wen
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Yue Guo
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Xinxue Liao
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China.
| | - Xiaodong Zhuang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China.
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Özkan U, Gürdoğan M. TyG index as a predictor of spontaneous coronary artery dissection in young women. Postgrad Med 2023; 135:669-675. [PMID: 37503966 DOI: 10.1080/00325481.2023.2242760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 07/27/2023] [Indexed: 07/29/2023]
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.
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Affiliation(s)
- Uğur Özkan
- Department of Cardiology, School of Medicine, Trakya University, Edirne, Turkey
| | - Muhammet Gürdoğan
- Department of Cardiology, School of Medicine, Trakya University, Edirne, Turkey
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Li T, Yang C, Yang J, Jing J, Ma C. Elevated triglyceride-glucose index predicts mortality following endovascular abdominal aortic aneurysm repair. Front Nutr 2023; 10:1116425. [PMID: 36860689 PMCID: PMC9968955 DOI: 10.3389/fnut.2023.1116425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/30/2023] [Indexed: 02/16/2023] Open
Abstract
Background Triglyceride-glucose (TyG) index has been increasingly studied as a simple and reliable predictor of adverse events of some cardiovascular disorders. However, its prognostic effect on postoperative outcomes in patients with abdominal aortic aneurysm (AAA) is still unknown. The current study aimed to explore the potential role of TyG index in predicting mortality of AAA patients following endovascular aneurysm repair (EVAR). Materials and methods This retrospective cohort study analyzed the preoperative TyG index in a total of 188 AAA patients who underwent EVAR with the follow-up of 5 years. Data were analyzed with SPSS software Version 23.0. Association between the TyG index and all-cause mortality was evaluated using Cox regression models and Kaplan-Meier method. Results Cox regression analyses showed that per 1-unit increment of TyG index was significantly associated with an increased risk of postoperative 30-day, 1-year, 3-year, and 5-year mortality, even after adjustment for potential confounders (all P<0.05). Kaplan-Meier analysis suggested that patients with high TyG index (≥8.68) had a worse overall survival (P = 0.007). Conclusion The elevated TyG index could be a promising predictive factor of postoperative mortality in AAA patients after EVAR.
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Affiliation(s)
- Tan Li
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, China,Clinical Medical Research Center of Imaging in Liaoning Province, The First Hospital of China Medical University, Shenyang, China
| | - Chao Yang
- Department of Burns, Trauma Center, The First Hospital of China Medical University, Shenyang, China
| | - Jun Yang
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, China,Clinical Medical Research Center of Imaging in Liaoning Province, The First Hospital of China Medical University, Shenyang, China
| | - Jingjing Jing
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, Shenyang, China,*Correspondence: Jingjing Jing ✉
| | - Chunyan Ma
- Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, China,Clinical Medical Research Center of Imaging in Liaoning Province, The First Hospital of China Medical University, Shenyang, China,Chunyan Ma ✉
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