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Zha B, Cai A, Wang G. Relationship between obesity indexes and triglyceride glucose index with gastrointestinal cancer among the US population. Prev Med Rep 2024; 43:102760. [PMID: 38818028 PMCID: PMC11137590 DOI: 10.1016/j.pmedr.2024.102760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 06/01/2024] Open
Abstract
Background Previous studies have found that obesity is closely related to gastrointestinal cancer (GIC), but there is insufficient evidence to compare the relationship between various obesity indexes and triglyceride glucose index with GIC. Methods This study analyzed the relationship between Body mass index (BMI), lipid accumulation product (LAP), Triglyceride glucose (TyG), Triglyceride glucose-body mass index (TyG-BMI), Triglyceride glucose-waist circumference (TyG-Waist), Triglyceride Waist-to-Height Ratio (TyG-WHtR), Visceral adiposity index (VAI), Waist circumference (Waist), Waist-to-Height Ratio (WHtR), and Weight-adjusted waist index (WWI) and GIC. The data from National Health and Nutrition Examination Survey from 1999 to 2018 was utilized. We conducted weighted multiple logistic regression to analyze the relationship between GIC and obesity indexes and subgroup analysis was carried out for further study. After that, survival analysis and restricted cubic spline (RCS)was used to analyze the relationship between various obesity indexes and the prognosis of GIC. Results Logistic regression showed that TyG [Q4 vs Q1: OR (95 %CI) = 2.082(1.016 ∼ 4.269)] and LAP [Q4 vs Q1: OR (95 %CI) = 2.046(1.010 ∼ 4.145)] were related to GIC. Survival analysis and RCS found BMI [Q4 vs Q1: HR (95 %CI) = 0.369(0.176 ∼ 0.773)], Waist [Q4 vs Q1: HR (95 %CI) = 0.381(0.193 ∼ 0.753)], and WWI [Q4 vs Q1: HR (95 %CI) = 0.403(0.188 ∼ 0.864)] were significantly related to the prognosis of GIC. Conclusion There is a complex relationship between obesity and TyG with GIC. Certain indexes may be utilized to assist patients in developing suitable prevention and lifestyle strategies.
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Affiliation(s)
| | | | - Guiqi Wang
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People’s Republic of China
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Zhang Y, Li S, Wu W, Zhao Y, Han J, Tong C, Luo N, Zhang K. Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES. BioData Min 2024; 17:12. [PMID: 38644481 PMCID: PMC11034020 DOI: 10.1186/s13040-024-00363-3] [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: 01/26/2024] [Accepted: 04/09/2024] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Recent researches have found a strong correlation between the triglyceride-glucose (TyG) index or the atherogenic index of plasma (AIP) and cardiovascular disease (CVD) risk. However, there is a lack of research on non-invasive and rapid prediction of cardiovascular risk. We aimed to develop and validate a machine-learning model for predicting cardiovascular risk based on variables encompassing clinical questionnaires and oculomics. METHODS We collected data from the Korean National Health and Nutrition Examination Survey (KNHANES). The training dataset (80% from the year 2008 to 2011 KNHANES) was used for machine learning model development, with internal validation using the remaining 20%. An external validation dataset from the year 2012 assessed the model's predictive capacity for TyG-index or AIP in new cases. We included 32122 participants in the final dataset. Machine learning models used 25 algorithms were trained on oculomics measurements and clinical questionnaires to predict the range of TyG-index and AIP. The area under the receiver operating characteristic curve (AUC), accuracy, precision, recall, and F1 score were used to evaluate the performance of our machine learning models. RESULTS Based on large-scale cohort studies, we determined TyG-index cut-off points at 8.0, 8.75 (upper one-third values), 8.93 (upper one-fourth values), and AIP cut-offs at 0.318, 0.34. Values surpassing these thresholds indicated elevated cardiovascular risk. The best-performing algorithm revealed TyG-index cut-offs at 8.0, 8.75, and 8.93 with internal validation AUCs of 0.812, 0.873, and 0.911, respectively. External validation AUCs were 0.809, 0.863, and 0.901. For AIP at 0.34, internal and external validation achieved similar AUCs of 0.849 and 0.842. Slightly lower performance was seen for the 0.318 cut-off, with AUCs of 0.844 and 0.836. Significant gender-based variations were noted for TyG-index at 8 (male AUC=0.832, female AUC=0.790) and 8.75 (male AUC=0.874, female AUC=0.862) and AIP at 0.318 (male AUC=0.853, female AUC=0.825) and 0.34 (male AUC=0.858, female AUC=0.831). Gender similarity in AUC (male AUC=0.907 versus female AUC=0.906) was observed only when the TyG-index cut-off point equals 8.93. CONCLUSION We have established a simple and effective non-invasive machine learning model that has good clinical value for predicting cardiovascular risk in the general population.
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Affiliation(s)
- Yuqi Zhang
- School of Computer Science & Engineering, Beihang University, Beijing, China
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China
| | - Sijin Li
- Department of Cardiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Weijie Wu
- Department of Cardiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Yanqing Zhao
- Department of Interventional Radiology & Vascular Surgery, Peking University Third Hospital, Beijing, China
| | - Jintao Han
- Department of Interventional Radiology & Vascular Surgery, Peking University Third Hospital, Beijing, China
| | - Chao Tong
- School of Computer Science & Engineering, Beihang University, Beijing, China.
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.
| | - Niansang Luo
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
| | - Kun Zhang
- Department of Cardiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
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Zhou Y, Li T, Muheiyati G, Duan Y, Xiao S, Gao Y, Tao N, An H. Triglyceride-glucose index is a predictor of the risk of prostate cancer: a retrospective study based on a transprostatic aspiration biopsy population. Front Endocrinol (Lausanne) 2024; 14:1280221. [PMID: 38260162 PMCID: PMC10801031 DOI: 10.3389/fendo.2023.1280221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Background Current research suggests that prostate cancer (PCa), one of the most common cancers in men, may be linked to insulin resistance (IR).Triglyceride-glucose index (TyG index) was made for a marker of insulin resistance. We investigated the relationship between the TyG index and the risk of PCa. Objective To assess the correlation and dose-response relationship between TyG index and prostate cancer. Method Retrospectively, 316 patients who required prostate biopsy puncture in the First Affiliated Hospital of Xinjiang Medical University from March 2017 to July 2021 were collected, and the relationship between factors such as the TyG index and prostate cancer was analyzed by Logistic regression model combined with a restricted cubic spline. Results (1) The differences in age, initial PSA and TyG index between the two groups were statistically significant; (2) Logistic regression results showed that the risk of prostate cancer in the highest quartile of the TyG index (Q4) was 3.387 times higher than that in the lowest quartile (Q1) (OR=3.387,95% CI [1.511,7.593], P=0.003); (3) The interaction results showed a significant interaction between the TyG index Q4 group and age with the risk of developing prostate cancer (P for interaction<0.001). (4) The results of the restricted cubic spline showed a linear dose-response relationship between the TyG index and the risk of prostate cancer; (5) The Receiver operating characteristic (ROC) curve results showed that the area under the curve (AUC) of the TyG index combined with initial PSA and age was 0.840, with a sensitivity and specificity of 62.5% and 93.3%, respectively. Conclusion TyG index and age are risk factors for prostate cancer, and the interaction between the TyG index and different risk factors may increase the risk of prostate cancer. TyG index has some predictive value for the risk of prostate cancer, and the risk of prostate cancer can be reduced by controlling the levels of blood lipids and blood glucose.
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Affiliation(s)
- Yijie Zhou
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Tianqi Li
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Guliman Muheiyati
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Yajun Duan
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Songtao Xiao
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Yi Gao
- School of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Ning Tao
- School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
- Department of Epidemiological Statistics, School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Hengqing An
- Department of Urology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
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Wang S, Zhang X, Keerman M, Guo H, He J, Maimaitijiang R, Wang X, Ma R, Guo S. Impact of the baseline insulin resistance surrogates and their longitudinal trajectories on cardiovascular disease (coronary heart disease and stroke): a prospective cohort study in rural China. Front Endocrinol (Lausanne) 2023; 14:1259062. [PMID: 38189050 PMCID: PMC10767254 DOI: 10.3389/fendo.2023.1259062] [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: 07/15/2023] [Accepted: 12/06/2023] [Indexed: 01/09/2024] Open
Abstract
Background This study aimed to assess the association of baseline insulin resistance (IR) surrogates and their longitudinal trajectories with cardiovascular diseases (CVD) to provide a useful reference for preventing CVD. Methods This study was a prospective cohort study conducted in the 51st Regiment of the Third Division of Xinjiang Corps. A total of 6362 participants were recruited in 2016 to conduct the baseline survey, and the follow-up surveys in 2019, 2020, 2021, and 2022. The Kaplan-Meier method was used to estimate the cumulative incidence of CVD according to the baseline IR surrogates of metabolic insulin resistance score (METS-IR) and triglyceride-glucose (TyG) index. Cox regression models were used to assess the association between the baseline IR surrogates and CVD. The impact of the longitudinal trajectories of the IR surrogates on CVD was analyzed after excluding those with IR surrogate data measured ≤2 times. Based on the group-based trajectory model (GBTM), the trajectory patterns of IR surrogates were determined. The Kaplan-Meier method was used to estimate the cumulative incidence of CVD in each trajectory group of METS-IR and TyG index. Cox regression models were used to analyze the association between different trajectory groups of each index and CVD. In addition, the Framingham model was utilized to evaluate whether the addition of the baseline IR surrogates increased the predictive potential of the model. Results Baseline data analysis included 4712 participants. During a median follow-up of 5.66 years, 572 CVD events were recorded (mean age, 39.42 ± 13.67 years; males, 42.9%). The cumulative CVD incidence increased with the ascending baseline METS-IR and TyG index quartiles (Q1-Q4). The hazard ratio and 95% confidence interval for CVD risk in Q4 of the METS-IR and TyG index were 1.79 (1.25, 2.58) and 1.66 (1.28, 2.17), respectively, when compared with Q1. 4343 participants were included in the trajectory analysis, based on the longitudinal change patterns of the METS-IR and TyG index, the following three trajectory groups were identified: low-increasing, moderate-stable, and elevated-increasing groups. Multivariate Cox regression revealed that the hazard ratio (95% confidence interval) for CVD risk in the elevated-increasing trajectory group of the METS-IR and TyG index was 2.13 (1.48, 3.06) and 2.63 (1.68, 4.13), respectively, when compared with the low-rising group. The C-index, integrated discrimination improvement value, and net reclassification improvement value were enhanced after adding the baseline METS-IR and TyG index values to the Framingham model (P<0.05). Conclusions Elevated baseline IR surrogates and their higher long-term trajectories were strongly associated with a high risk of CVD incidence in Xinjiang's rural areas. Regular METS-IR and TyG index monitoring can aid in the early detection of CVD-risk groups.
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Affiliation(s)
- Shulin Wang
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
| | - Xianghui Zhang
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
| | - Mulatibieke Keerman
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
| | - Heng Guo
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
| | - Jia He
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
| | - Remina Maimaitijiang
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
| | - Xinping Wang
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
| | - Rulin Ma
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
| | - Shuxia Guo
- Department of Public Health, Shihezi University School of Medicine, Shihezi, China
- Department of National Health Commission Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, The First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, China
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Tao S, Yu L, Li J, Huang L, Huang X, Zhang W, Xie Z, Tan Y, Yang D. Association between the triglyceride-glucose index and 1-year major adverse cardiovascular events in patients with coronary heart disease and hypertension. Cardiovasc Diabetol 2023; 22:305. [PMID: 37940943 PMCID: PMC10633928 DOI: 10.1186/s12933-023-02018-9] [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: 09/08/2023] [Accepted: 10/09/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been proposed as a potential predictor of adverse prognosis of coronary heart disease (CHD). However, its prognostic value in patients with CHD and hypertension remains unclear. This study aimed to evaluate the association between the TyG index and the 1-year risk of major adverse cardiovascular events (MACEs) in patients with CHD and hypertension. METHODS The data for the study were taken from the Hospital Information System database in China-Japan Friendship Hospital which contained over 10,000 cardiovascular admissions from 2019 to 2022. The Boruta algorithm was performed for feature selection. The study used univariable analysis, multivariable logistic regression analysis, and restricted cubic spline (RCS) regression to evaluate the association between the TyG index and the 1-year risk of MACEs in patients with CHD and hypertension. RESULTS After applying inclusion and exclusion criteria, a total of 810 patients with CHD and hypertension were included in the study with a median TyG index of 8.85 (8.48, 9.18). Using the lowest TyG index quartile as the reference, the fully adjusted ORs (95% CIs) for 1-year MACEs for TyG index Q2, Q3, and Q4 were 1.001 (0.986 ~ 1.016), 1.047 (1.032 ~ 1.062), and 1.760 (1.268 ~ 2.444), respectively. After adjusting for all confounders, we found that those with the highest TyG index had a 47.0% increased risk of MACEs over the 1-year follow-up (OR 1.470, 95% CI 1.071 ~ 2.018). The results in the subgroup analysis were similar to the main analyses. RCS model suggested that the TyG index was nonlinearly associated with the 1-year risk of MACEs (P for nonlinear < 0.001). CONCLUSION This study shows that the elevated TyG index is a potential marker of adverse prognosis among patients with CHD and hypertension and informs the development of clinical decisions to improve outcomes.
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Affiliation(s)
- Shiyi Tao
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Lintong Yu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Jun Li
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Li Huang
- Department of Integrative Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Xuanchun Huang
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wenjie Zhang
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Zicong Xie
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuqing Tan
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Deshuang Yang
- Department of Integrative Cardiology, China-Japan Friendship Hospital, Beijing, 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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Khalaji A, Behnoush AH, Khanmohammadi S, Ghanbari Mardasi K, Sharifkashani S, Sahebkar A, Vinciguerra C, Cannavo A. Triglyceride-glucose index and heart failure: a systematic review and meta-analysis. Cardiovasc Diabetol 2023; 22:244. [PMID: 37679763 PMCID: PMC10486123 DOI: 10.1186/s12933-023-01973-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 08/24/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Insulin resistance (IR) is a major metabolic disorder observed in heart failure (HF) and is tightly associated with patients' poor prognosis. The triglyceride-glucose index (TyG) has been proposed as a surrogate marker of IR in HF. Yet, whether TyG is a reliable clinical marker is still under debate. Hence, we aimed to respond to this relevant question via a systematic review and meta-analysis of existing studies. METHODS A systematic search was conducted in PubMed, Embase, Scopus, and Web of Science to find studies investigating the TyG index in patients with HF or its association with the incidence of HF. Adjusted hazard ratios (HR) and 95% confidence intervals (CI) were pooled through random-effect meta-analysis. HRs were calculated using TyG as a continuous variable (1 unit increase) and by comparing the group with the highest TyG to the lowest TyG group. RESULTS Thirty studies, involving 772,809 participants, were included in this systematic review. Meta-analysis of seven studies comparing the highest-TyG to the lowest-TyG group showed a significantly increased risk of HF in the former group (HR 1.21, 95% CI 1.14 to 1.29, P < 0.01). The same result was found when pooling the HRs for a one-unit increase in the TyG index (HR 1.17, 95% CI 1.08 to 1.26). Similarly, a more elevated TyG index was associated with a higher incidence of HF in patients with type 2 diabetes or coronary artery disease. Additionally, the incidence of adverse events (readmission and mortality) in patients with HF was associated with TyG. CONCLUSION Our findings support the TyG index as a valuable marker to assess the risk of HF incidence in different populations and as a prognostic marker in patients with HF. Further studies should be conducted to confirm these associations and investigate the clinical utility of the TyG index.
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Affiliation(s)
- Amirmohammad Khalaji
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., 1417613151 Tehran, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Hossein Behnoush
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., 1417613151 Tehran, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shaghayegh Khanmohammadi
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., 1417613151 Tehran, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Sourena Sharifkashani
- School of Medicine, Tehran University of Medical Sciences, Poursina St., Keshavarz Blvd., 1417613151 Tehran, Iran
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- School of Medicine, The University of Western Australia, Perth, Australia
- Department of Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Caterina Vinciguerra
- Department of Translational Medicine Sciences, Federico II University of Naples, Naples, Italy
| | - Alessandro Cannavo
- Department of Translational Medicine Sciences, Federico II University of Naples, Naples, Italy
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Cai XL, Xiang YF, Chen XF, Lin XQ, Lin BT, Zhou GY, Yu L, Guo YS, Lin KY. Prognostic value of triglyceride glucose index in population at high cardiovascular disease risk. Cardiovasc Diabetol 2023; 22:198. [PMID: 37537553 PMCID: PMC10398968 DOI: 10.1186/s12933-023-01924-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 07/15/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Early identification of populations at high cardiovascular disease (CVD) risk and improvement of risk factors can significantly decrease the probability of CVD development and improve outcomes. Insulin resistance (IR) is a CVD risk factor. The triglyceride glucose (TyG) index is a simple and reliable index for evaluating IR. However, no clinical studies on the prognostic value of the TyG index in a high risk CVD population have been conducted. This study evaluated the relationship between the TyG index and prognosis in a high risk CVD population. METHODS This study enrolled 35,455 participants aged 35-75 years who were at high CVD risk and visited selected health centers and community service centers between 2017 and 2021. Their general clinical characteristics and baseline blood biochemical indicators were recorded. The TyG index was calculated as ln[fasting triglyceride (mg/dl)× fasting blood glucose (mg/dl)/2]. The endpoints were all-cause death and cardiovascular death during follow-up. Cox proportional hazard models and restricted cubic spline (RCS) analysis were used to evaluate the correlation between the TyG index and endpoints. RESULTS In the overall study population, the mean age of all participants was 57.9 ± 9.6 years, 40.7% were male, and the mean TyG index was 8.9 ± 0.6. All participants were divided into two groups based on the results of the RCS analysis, with a cut-off value of 9.83. There were 551 all-cause deaths and 180 cardiovascular deaths during a median follow-up time of 3.4 years. In the multivariate Cox proportional hazard model, participants with a TyG index ≥ 9.83 had a higher risk of all-cause death (Hazard ratio [HR] 1.86, 95% Confdence intervals [CI] 1.37-2.51, P<0.001) and cardiovascular death (HR 2.41, 95%CI 1.47-3.96, P = 0.001) than those with a TyG index < 9.83. Subgroup analysis revealed that there was no interaction between the TyG index and variables in all subgroup analyses. CONCLUSIONS The high TyG index was associated with an increased risk of all-cause death and cardiovascular death in people at high risk of CVD. This finding demonstrates the value of the TyG index in the primary prevention of CVD. TRIAL REGISTRATION retrospectively registered, the registration number is K2022-01-005 and the date is 2022.01.30.
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Affiliation(s)
- Xiao-Ling Cai
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China
| | - Yi-Fei Xiang
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China
| | - Xiao-Fang Chen
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China
| | - Xue-Qin Lin
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China
| | - Bi-Ting Lin
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China
| | - Geng-Yu Zhou
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China
| | - Lin Yu
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China
| | - Yan-Song Guo
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China.
| | - Kai-Yang Lin
- Cardiology, Department of Cardiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
- Center for Cardiovascular Epidemiology Research and Prevention Of Fujian Provincial Hospital, Fuzhou, Fujian Province, China.
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9
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Jung MH, Lee SY, Youn JC, Chung WB, Ihm SH, Kang D, Kyoung DS, Jung HO, Chang K, Youn HJ, Lee H, Kang D, Cho J, Kaneko H, Kim HC. Antihypertensive Medication Adherence and Cardiovascular Outcomes in Patients With Cancer: A Nationwide Population-Based Cohort Study. J Am Heart Assoc 2023:e029362. [PMID: 37421285 PMCID: PMC10382088 DOI: 10.1161/jaha.123.029362] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 06/06/2023] [Indexed: 07/10/2023]
Abstract
Background Hypertension is an important cause of morbidity, which predisposes patients to major cardiovascular events and mortality. The aim of this study was to explore the association between adherence to antihypertensive medication and clinical outcomes in adult patients with cancer. Methods and Results Using the 2002 to 2013 Korean National Health Insurance Service-National Sample Cohort, we extracted adult patients with cancer treated with antihypertensive medications. Based on the medication possession ratio value, participants were divided into 3 groups: good (medication possession ratio ≥0.8), moderate (0.5≤ medication possession ratio <0.8), and poor (medication possession ratio <0.5) adherence groups. The primary outcomes were overall and cardiovascular mortality. The secondary outcome was cardiovascular events requiring hospitalization due to major cardiovascular diseases. Among 19 246 patients with cancer with concomitant hypertension, 66.4% were in the nonadherence group (26.3% were moderate and 40.0% were poor adherence group). Over a median of 8.4 years of follow-up, 2752 deaths and 6057 cardiovascular events occurred. Compared with the good adherence group, the moderate and poor adherence groups had a 1.85-fold and 2.19-fold increased risk for overall mortality, and 1.72-fold and 1.71-fold elevated risk for cardiovascular mortality, respectively, after adjustment for possible confounders. Furthermore, the moderate and poor adherence groups had a 1.33-fold and 1.34-fold elevated risk of new-onset cardiovascular events, respectively. These trends were consistent across cardiovascular event subtypes. Conclusions Nonadherence to antihypertensive medication was common in patients with cancer and was associated with worse clinical outcomes in adult patients with cancer with hypertension. More attention should be paid to improving adherence to antihypertensive medication among patients with cancer.
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Affiliation(s)
- Mi-Hyang Jung
- Division of Cardiology, Department of Internal Medicine Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine The Catholic University of Korea Seoul Republic of Korea
| | - So-Young Lee
- Division of Cardiology, Department of Internal Medicine Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine The Catholic University of Korea Seoul Republic of Korea
| | - Jong-Chan Youn
- Division of Cardiology, Department of Internal Medicine Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine The Catholic University of Korea Seoul Republic of Korea
| | - Woo-Baek Chung
- Division of Cardiology, Department of Internal Medicine Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine The Catholic University of Korea Seoul Republic of Korea
| | - Sang-Hyun Ihm
- Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine The Catholic University of Korea Seoul Republic of Korea
- Division of Cardiology, Department of Internal Medicine Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea Bucheon-si Republic of Korea
| | - Dongwoo Kang
- Data Science Team, Hanmi Pharmaceutical Co., Ltd Seoul Republic of Korea
| | - Dae-Sung Kyoung
- Data Science Team, Hanmi Pharmaceutical Co., Ltd Seoul Republic of Korea
| | - Hae Ok Jung
- Division of Cardiology, Department of Internal Medicine Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine The Catholic University of Korea Seoul Republic of Korea
| | - Kiyuk Chang
- Division of Cardiology, Department of Internal Medicine Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine The Catholic University of Korea Seoul Republic of Korea
| | - Ho-Joong Youn
- Division of Cardiology, Department of Internal Medicine Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Republic of Korea
- Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine The Catholic University of Korea Seoul Republic of Korea
| | - Hokyou Lee
- Department of Preventive Medicine Yonsei University College of Medicine Seoul Republic of Korea
- Cardiovascular and Metabolic Disease Etiology Research Center Yonsei University College of Medicine Seoul Republic of Korea
| | - Danbee Kang
- Center for Clinical Epidemiology, Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea
- Department of Clinical Research Design and Evaluation SAIHST, Sungkyunkwan University Seoul Republic of Korea
| | - Juhee Cho
- Center for Clinical Epidemiology, Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Republic of Korea
- Department of Clinical Research Design and Evaluation SAIHST, Sungkyunkwan University Seoul Republic of Korea
| | - Hidehiro Kaneko
- Department of Cardiovascular Medicine Graduate School of Medicine The University of Tokyo Tokyo Japan
- Department of Advanced Cardiology Graduate School of Medicine The University of Tokyo Tokyo Japan
| | - Hyeon Chang Kim
- Department of Preventive Medicine Yonsei University College of Medicine Seoul Republic of Korea
- Cardiovascular and Metabolic Disease Etiology Research Center Yonsei University College of Medicine Seoul Republic of Korea
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10
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Liu Y, Zhu B, Zhou W, Du Y, Qi D, Wang C, Cheng Q, Zhang Y, Wang S, Gao C. Triglyceride-glucose index as a marker of adverse cardiovascular prognosis in patients with coronary heart disease and hypertension. Cardiovasc Diabetol 2023; 22:133. [PMID: 37296406 PMCID: PMC10257289 DOI: 10.1186/s12933-023-01866-9] [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: 04/28/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been proposed as a potential predictor of adverse prognosis of cardiovascular diseases (CVDs). However, its prognostic value in patients with coronary heart disease (CHD) and hypertension remains unclear. METHODS A total of 1467 hospitalized patients with CHD and hypertension from January 2021 to December 2021 were included in this prospective and observational clinical study. The TyG index was calculated as Ln [fasting triglyceride level (mg/dL) × fasting plasma glucose level (mg/dL)/2]. Patients were divided into tertiles according to TyG index values. The primary endpoint was a compound endpoint, defined as the first occurrence of all-cause mortality or total nonfatal CVDs events within one-year follow up. The secondary endpoint was atherosclerotic CVD (ASCVD) events, including non-fatal stroke/transient ischemic attack (TIA) and recurrent CHD events. We used restricted cubic spline analysis and multivariate adjusted Cox proportional hazard models to investigate the associations of the TyG index with primary endpoint events. RESULTS During the one-year follow-up period, 154 (10.5%) primary endpoint events were recorded, including 129 (8.8%) ASCVD events. After adjusting for confounding variables, for per standard deviation (SD) increase in the TyG index, the risk of incident primary endpoint events increased by 28% [hazard ratio (HR) = 1.28, 95% confidence interval (CI) 1.04-1.59]. Compared with subjects in the lowest tertile (T1), the fully adjusted HR for primary endpoint events was 1.43 (95% CI 0.90-2.26) in the middle (T2) and 1.73 (95% CI 1.06-2.82) in highest tertile (T3) (P for trend = 0.018). Similar results were observed in ASCVD events. Restricted cubic spline analysis also showed that the cumulative risk of primary endpoint events increased as TyG index increased. CONCLUSIONS The elevated TyG index was a potential marker of adverse prognosis in patients with CHD and hypertension.
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Affiliation(s)
- Yahui Liu
- Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Binbin Zhu
- Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Weicen Zhou
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Yao Du
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Datun Qi
- Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Chenxu Wang
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Qianqian Cheng
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - You Zhang
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Shan Wang
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China
| | - Chuanyu Gao
- Department of Cardiology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
- Henan Provincial Key Lab for Control of Coronary Heart Disease, Zhengzhou University Central China Fuwai Hospital, Zhengzhou, 451464, China.
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11
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Niu M, Zhou Z, Wang L, Yang J, Sun M, Lv X, Zhang F. Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke. BMC Geriatr 2023; 23:357. [PMID: 37291516 PMCID: PMC10249284 DOI: 10.1186/s12877-023-04041-7] [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: 02/08/2023] [Accepted: 05/15/2023] [Indexed: 06/10/2023] Open
Abstract
BACKGROUND Myocardial injury post-stroke is a common sequela of acute stroke. Triglyceride-glucose index (TyG index), a valuable surrogate indicator of insulin resistance, has been suggested to be closely related to cardiovascular outcomes. However, it is unknown whether the TyG index is independently associated with a higher risk of myocardial injury post-stroke. We therefore investigated the longitudinal association between TyG index and risk of myocardial injury post-stroke in older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities. METHODS We included older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities between January 2021 to December 2021. The individuals were stratified into low and high TyG index groups according to the optimal cutoff value with TyG index. We performed logistic regression analysis, propensity score matching (PSM) analysis, restricted cubic spline analysis, and subgroup analyses to explore the longitudinal association between TyG index and risk of myocardial injury post-stroke. RESULTS We included 386 individuals with a median age of 69.8 years (interquartile range: 66.6, 75.3). The optimal TyG index cut-off for predicting myocardial injury post-stroke was 8.9 (sensitivity 67.8%; specificity 75.5%; area under curve 0.701). Multivariate logistic regression analysis revealed that the risk of genesis of myocardial injury post-stroke increased with elevated TyG index (odds ratio [OR], 2.333; 95% confidence interval [CI], 1.201-4.585; P = 0.013). Furthermore, all covariates were well balanced between the two groups. The longitudinal association between TyG index and myocardial injury post-stroke remained significantly robust (OR: 2.196; 95% CI: 1.416-3.478; P < 0.001) after PSM adjustment. CONCLUSION Individuals with an elevated TyG index were more susceptible to having an increased risk of myocardial injury post-stroke. TyG index thus might be served as a complementary approach for optimized-for-risk stratification in older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities.
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Affiliation(s)
- Mu Niu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China
| | - Zhikang Zhou
- Department of Anesthesiology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Long Wang
- Department of Pain Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Jian Yang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China
| | - Miao Sun
- Department of Anesthesiology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Xin Lv
- Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
| | - Faqiang Zhang
- Department of Anesthesiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
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12
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Wen J, Pan Q, Du LL, Song JJ, Liu YP, Meng XB, Zhang K, Gao J, Shao CL, Wang WY, Zhou H, Tang YD. Association of triglyceride-glucose index with atherosclerotic cardiovascular disease and mortality among familial hypercholesterolemia patients. Diabetol Metab Syndr 2023; 15:39. [PMID: 36895032 PMCID: PMC9997009 DOI: 10.1186/s13098-023-01009-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 02/25/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is an inherited metabolic disorder with a high level of low-density lipoprotein cholesterol and the worse prognosis. The triglyceride-glucose (TyG) index, an emerging tool to reflect insulin resistance (IR), is positively associated with a higher risk of atherosclerotic cardiovascular disease (ASCVD) in healthy individuals, but the value of TyG index has never been evaluated in FH patients. This study aimed to determine the association between the TyG index and glucose metabolic indicators, insulin resistance (IR) status, the risk of ASCVD and mortality among FH patients. METHODS Data from National Health and Nutrition Examination Survey (NHANES) 1999-2018 were utilized. 941 FH individuals with TyG index information were included and categorized into three groups: < 8.5, 8.5-9.0, and > 9.0. Spearman correlation analysis was used to test the association of TyG index and various established glucose metabolism-related indicators. Logistic and Cox regression analysis were used to assess the association of TyG index with ASCVD and mortality. The possible nonlinear relationships between TyG index and the all-cause or cardiovascular death were further evaluated on a continuous scale with restricted cubic spline (RCS) curves. RESULTS TyG index was positively associated with fasting glucose, HbA1c, fasting insulin and the homeostatic model assessment of insulin resistance (HOMA-IR) index (all p < 0.001). The risk of ASCVD increased by 74% with every 1 unit increase of TyG index (95%CI: 1.15-2.63, p = 0.01). During the median 114-month follow-up, 151 all-cause death and 57 cardiovascular death were recorded. Strong U/J-shaped relations were observed according to the RCS results (p = 0.0083 and 0.0046 for all-cause and cardiovascular death). A higher TyG index was independently associated with both all-cause death and cardiovascular death. Results remained similar among FH patients with IR (HOMA-IR ≥ 2.69). Moreover, addition of TyG index showed helpful discrimination of both survival from all-cause death and cardiovascular death (p < 0.05). CONCLUSION TyG index was applicable to reflect glucose metabolism status in FH adults, and a high TyG index was an independent risk factor of both ASCVD and mortality.
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Affiliation(s)
- Jun Wen
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Qi Pan
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei-Lei Du
- Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, NanBai Xiang Avenue, Ouhai District, Wenzhou, 325000, China
| | - Jing-Jing Song
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Yu-Peng Liu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiang-Bin Meng
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Kuo Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Gao
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Chun-Li Shao
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Wen-Yao Wang
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China
| | - Hao Zhou
- Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, NanBai Xiang Avenue, Ouhai District, Wenzhou, 325000, China.
| | - Yi-Da Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Department of Cardiology and Institute of Vascular Medicine, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Peking University Third Hospital, No.49 Huayuanbei Road, Beijing, 100191, China.
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Miao M, Bi Y, Hao L, Bao A, Sun Y, Du H, Song L, You S, Zhong C. Triglyceride-glucose index and short-term functional outcome and in-hospital mortality in patients with ischemic stroke. Nutr Metab Cardiovasc Dis 2023; 33:399-407. [PMID: 36586773 DOI: 10.1016/j.numecd.2022.11.004] [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: 09/07/2022] [Revised: 10/12/2022] [Accepted: 11/01/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND AND AIMS The triglyceride-glucose (TyG) index has been demonstrated as an independent marker of ischemic stroke. Whether TyG index predicts short-term outcomes in patients with ischemic stroke remains uncertain. The aim of the study was to investigate the early prognosis value of TyG index in ischemic stroke patients. METHODS AND RESULTS A total of 3216 acute ischemic stroke patients from 22 hospitals were included in this analysis. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). Logistic regression model was performed to estimate the relationship between TyG index and unfavorable functional outcome of death or disability (modified Rankin Scale score of 4-6) at discharge. Risk reclassification with TyG index to predict unfavorable functional outcome was analyzed. During hospitalization, 748 patients (23.3%) experienced poor functional outcome and 105 patients (3.3%) died from all causes. The multivariable adjusted odds ratios for the highest versus lowest quartile of TyG index was 1.62 (95% CI 1.15-2.29) for unfavorable functional outcome at discharge. The addition of TyG index to the conventional model improved the risk reclassification (net reclassification improvement 10.37%; integrated discrimination improvement 0.27%; both p < 0.05) for poor functional outcome. Moreover, TyG index was associated with an odds ratio (95% CI) of 1.26 (1.02-1.55) for an ordinal shift in mRS score and 2.49 (1.21-5.12) for in-hospital mortality. CONCLUSIONS Higher TyG index was associated with higher risk of unfavorable functional outcome at discharge and in-hospital mortality, implicating the significant short-term prognostic effect of TyG index in patients with ischemic stroke.
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Affiliation(s)
- Mengyuan Miao
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yucong Bi
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Lijun Hao
- Department of Ultrasound, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Anran Bao
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Yaming Sun
- Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou 215600, China
| | - Huaping Du
- Department of Neurology, The Affiliated Wujiang Hospital of Nantong University, Suzhou 215200, China
| | - Liyan Song
- Department of Neurology, The First People's Hospital of Taicang, Suzhou 215400, China
| | - Shoujiang You
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.
| | - Chongke Zhong
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.
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Ahn Y, Jung MH. Cardiovascular health is the essential but overlooked aspect in the management of cancer survivors. Eur J Prev Cardiol 2022; 29:2322-2323. [PMID: 36256686 DOI: 10.1093/eurjpc/zwac241] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 01/11/2023]
Affiliation(s)
- Yuran Ahn
- Division of Cardiology, Department of Internal Medicine, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.,Catholic Research Institute for Intractable Cardiovascular Disease (CRID), College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Mi-Hyang Jung
- Catholic Research Institute for Intractable Cardiovascular Disease (CRID), College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.,Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-daero, Seoul 06591, Republic of Korea
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15
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Lyu J, Yang N, Guan W, Xiao L, Nie X, Liang L, Bai H, Li C, Kuang H, Wang X, Li T. Post-treatment serum triglyceride: An effective biomarker for body fat mass and overall survival in esophageal squamous cell cancer patients treated with chemoradiotherapy. Front Nutr 2022; 9:1050643. [PMID: 36532533 PMCID: PMC9755343 DOI: 10.3389/fnut.2022.1050643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/16/2022] [Indexed: 08/01/2023] Open
Abstract
OBJECTIVES Although lipids have been assessed for their possible roles in cancer survival prediction, studies on the association between serum triglyceride (TG) levels and the prognosis of esophageal squamous cell carcinoma (ESCC) patients are limited. This study aimed to evaluate whether serum TG is associated with outcomes in patients with ESCC and investigate any interaction between serum TG and clinical parameters, especially body fat mass. MATERIALS AND METHODS We conducted a prospective case study on patients diagnosed with ESCC between March 2012 and November 2018. We measured patients' serum TG levels before and after treatment. The association between serum TG and overall survival (OS) was evaluated using hazard ratios. We sought to determine a threshold point using optimal stratification. Survival analysis was performed using Kaplan-Meier curves and a Cox proportional hazards model. RESULTS Of the 257 participants diagnosed with ESCC, 200 (77.8%) were men. Median follow-up time was 22.4 months (range 3.3-92.4 months). Using univariate Cox proportional hazard analysis and subsequent multivariate analysis, post-TG levels, Karnofsky performance scores, T stages, and chemotherapy cycles were shown to be independent prognostic factors for OS (p < 0.05). The post-TG cut-off point to best classify patients with respect to time to mortality was 1.47 mmol/L. A post-TG level of ≥ 1.47 mmol/L could independently predict a better OS (hazard ratio: 0.55, 95% confidence interval: 0.37-0.79). The associations were consistent across the subtypes of clinical parameters. Furthermore, the post-body mass index, post-subcutaneous adipose tissue area, post-visceral adipose tissue area, post-total adiposity tissue area, and post-total adipose density exhibited a strong positive association with post-TG levels. CONCLUSION Post-TG levels were found to be a significant positive prognostic biomarker for body fat mass and OS in ESCC patients.
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Affiliation(s)
- Jiahua Lyu
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Ningjing Yang
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wang Guan
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Ling Xiao
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xinyu Nie
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Long Liang
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hansong Bai
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Churong Li
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hao Kuang
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiao Wang
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Tao Li
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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16
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Ali M, Hussein M, Magdy R, Khamis A, Othman AM, Abdelkareem SA, Osama W. The potential role of insulin resistance in predicting outcome from intravenous thrombolytic therapy. Acta Neurol Belg 2022:10.1007/s13760-022-02060-6. [DOI: 10.1007/s13760-022-02060-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 08/08/2022] [Indexed: 11/30/2022]
Abstract
Abstract
Background
The potential impact of insulin resistance on stroke prognosis after IV thrombolysis is poorly understood. This study aimed to assess the effect of insulin resistance and metabolic syndrome on the outcome of IV thrombolysis in non-diabetic patients with acute ischaemic stroke.
Methods
This prospective observational study was conducted on 70 non-diabetic acute ischaemic stroke patients who received rt-PA within 3 h of stroke onset. Patients were subjected to baseline and follow-up NIHSS measurements at 24 h and 3 months post-treatment. Stroke outcome was assessed after 3 months using the Modified Rankin Scale (mRS). The homeostasis model assessment–insulin resistance (HOMA-IR) was calculated for the included patients at stroke onset.
Results
The mean age of included patients was 57.04 ± 14.39 years. Patients with unfavourable outcome had a significantly higher frequency of insulin resistance and metabolic syndrome, higher values of baseline NIHSS, insulin, HOMA-IR, uric acid and lower levels of HDL than those with favourable outcome (P value = 0.035, 0.007, ≤ 0.001, 0.001, ≤ 0.001, 0.002, 0.033, respectively). Each point increase in NIHSS before rt-PA increased the odds of an unfavourable outcome by 2.06 times (95% CI 1.22 − 3.478). Also, insulin resistance increased the odds of the unfavourable outcome by 11.046 times (95% CI 1.394–87.518). There was a statistically significant improvement in NIHSS 3 months after receiving rt-PA in all patients, significantly higher in patients who did not have insulin resistance or metabolic syndrome.
Conclusion
Insulin resistance and metabolic syndrome were associated with worse functional outcomes in non-diabetic stroke patients after receiving rt-PA.
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