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Zhao C, Yang Y, Duan C, Gao C, Wang Y, Ni H, Zhou L, Xiang Y, Li M, Xu Z. The nutritional metabolic risk index as a predictor of all-cause and cardiovascular mortality: A national cohort study. Clin Nutr ESPEN 2024; 63:391-399. [PMID: 38971408 DOI: 10.1016/j.clnesp.2024.07.004] [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: 04/10/2024] [Revised: 05/31/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND Recent studies show that malnutrition increases all-cause mortality by 1.11 times and cardiovascular mortality by 2.60 times. Similarly, metabolic syndrome raises overall mortality by 40% and cardiovascular mortality by 37%. This research assesses the Nutritional Metabolic Risk Index (NMRI) for predicting these mortality risks. METHODS We analyzed data from 14,209 participants in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, where the NMRI was calculated based on the ratio of GNRI to TyG-WHtR. The relationship between NMRI and mortality was investigated using Kaplan-Meier methods and Cox regression models, with restricted cubic splines (RCS) employed to examine non-linear associations. The predictive capabilities of NMRI, GNRI, and TyG-WHtR for mortality were assessed using receiver operating characteristic curve (ROC) curve analysis. RESULTS Over a median follow-up period of 89 months, there were 1358 all-cause deaths and 345 cardiovascular deaths recorded. Cox regression analysis indicated that each unit increase in NMRI was associated with an 8% reduction in all-cause mortality risk and a 15% reduction in cardiovascular mortality risk. RCS analysis found a nonlinear negative correlation between NMRI and both all-cause and cardiovascular mortality. NMRI demonstrated superior predictive accuracy for all-cause mortality (AUC: 0.696, 95% CI: 0.682-0.710) and cardiovascular mortality (AUC: 0.713, 95% CI: 0.689-0.737) compared to GNRI and TyG-WHtR (P < 0.05). CONCLUSIONS The NMRI is inversely associated with the risk of all-cause and cardiovascular mortality in American adults.
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Affiliation(s)
- Chuanwei Zhao
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Yane Yang
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Conghao Duan
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Chenxuan Gao
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Yansi Wang
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Huan Ni
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Lanping Zhou
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Yunfang Xiang
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - MeiJu Li
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Zhao Xu
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
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Xu B, Wu Q, La R, Lu L, Abdu FA, Yin G, Zhang W, Ding W, Ling Y, He Z, Che W. Is systemic inflammation a missing link between cardiometabolic index with mortality? Evidence from a large population-based study. Cardiovasc Diabetol 2024; 23:212. [PMID: 38902748 PMCID: PMC11191290 DOI: 10.1186/s12933-024-02251-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: 02/29/2024] [Accepted: 04/26/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND This study sought to elucidate the associations of cardiometabolic index (CMI), as a metabolism-related index, with all-cause and cardiovascular mortality among the older population. Utilizing data from the National Health and Nutrition Examination Survey (NHANES), we further explored the potential mediating effect of inflammation within these associations. METHODS A cohort of 3029 participants aged over 65 years old, spanning six NHANES cycles from 2005 to 2016, was enrolled and assessed. The primary endpoints of the study included all-cause mortality and cardiovascular mortality utilizing data from National Center for Health Statistics (NCHS). Cox regression model and subgroup analysis were conducted to assess the associations of CMI with all-cause and cardiovascular mortality. The mediating effect of inflammation-related indicators including leukocyte, neutrophil, lymphocyte, systemic immune-inflammation index (SII), neutrophil to lymphocyte ratio (NLR) were evaluated to investigate the potential mechanism of the associations between CMI and mortality through mediation package in R 4.2.2. RESULTS The mean CMI among the enrolled participants was 0.74±0.66, with an average age of 73.28±5.50 years. After an average follow-up period of 89.20 months, there were 1,015 instances of all-cause deaths and 348 cardiovascular deaths documented. In the multivariable-adjusted model, CMI was positively related to all-cause mortality (Hazard Ratio (HR)=1.11, 95% CI=1.01-1.21). Mediation analysis indicated that leukocytes and neutrophils mediated 6.6% and 13.9% of the association of CMI with all-cause mortality. CONCLUSION Elevated CMI is positively associated with all-cause mortality in the older adults. The association appeared to be partially mediated through inflammatory pathways, indicating that CMI may serve as a valuable indicator for poor prognosis among the older population.
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Affiliation(s)
- Bin Xu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
- Department of Cardiology, Zhongshan-Xuhui Hospital, Shanghai Xuhui Central Hospital, Fudan University, Shanghai, China
| | - Qian Wu
- Department of Orthopedic Surgery, Orthopedic Institute, The First Affiliated Hospital of Soochow University, 188 Shizijie Road, Suzhou, 215006, Jiangsu, China.
- Research Institute of Clinical Medicine, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
| | - Rui La
- Department of Orthopedic Surgery, Orthopedic Institute, The First Affiliated Hospital of Soochow University, 188 Shizijie Road, Suzhou, 215006, Jiangsu, China
| | - Lingchen Lu
- Department of Pediatric Surgery and Rehabilitation, Kunshan Maternity and Children's Health Care Hospital, Kunshan, Jiangsu, China
| | - Fuad A Abdu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Guoqing Yin
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Wen Zhang
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Wenquan Ding
- Department of Orthopedic Surgery, Orthopedic Institute, The First Affiliated Hospital of Soochow University, 188 Shizijie Road, Suzhou, 215006, Jiangsu, China
| | - Yicheng Ling
- Department of Orthopedic Surgery, Orthopedic Institute, The First Affiliated Hospital of Soochow University, 188 Shizijie Road, Suzhou, 215006, Jiangsu, China
| | - Zhiyuan He
- Department of Orthopedic Surgery, Orthopedic Institute, The First Affiliated Hospital of Soochow University, 188 Shizijie Road, Suzhou, 215006, Jiangsu, China
| | - Wenliang Che
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
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Yu S, Li Q, Yang H, Guo X, Li G, Sun Y. Triglyceride-glucose index predicts all-cause mortality, but not cardiovascular mortality, in rural Northeast Chinese patients with metabolic syndrome: a community-based retrospective cohort study. Nutr Metab (Lond) 2024; 21:27. [PMID: 38773582 PMCID: PMC11110416 DOI: 10.1186/s12986-024-00804-0] [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: 03/16/2024] [Accepted: 05/09/2024] [Indexed: 05/24/2024] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) includes a group of metabolic irregularities, including insulin resistance (IR), atherogenic dyslipidemia, central obesity, and hypertension. Consistent evidence supports IR and ongoing low-grade inflammation as the main contributors to MetS pathogenesis. However, the association between the triglyceride-glucose (TyG) index and mortality in people with MetS remains uncertain. The objective of this study was to examine the correlation between the baseline TyG index and all-cause and cardiovascular (CV) mortality in rural Northeast Chinese individuals with MetS. METHODS For the Northeast China Rural Cardiovascular Health Study, 3918 participants (mean age, 55 ± 10; 62.4% women) with MetS at baseline were enrolled in 2012-2013 and followed up from 2015 to 2017. The TyG index was calculated using the equation TyG index = ln [fasting TG (mg/dL) × fasting glucose (mg/dL)/2] and subdivided into tertiles [Q1(< 8.92); Q2 (8.92-9.36); Q3 (≥ 9.36)]. Multivariate Cox proportional hazards models were developed to examine the correlations between mortality and the baseline TyG index. RESULTS During a median of 4.66 years of follow-up, 196 (5.0%) all-cause deaths and 108 (2.8%) CV disease-related deaths occurred. The incidence of all-cause mortality was significantly different among TyG index tertiles of the overall population (P = 0.045). Kaplan-Meier analysis demonstrated a significantly increased risk of all-cause mortality in rural Chinese patients with a higher TyG index (log-rank P < 0.05). After adjusting for possible confounders, Cox proportional hazard analysis revealed that the TyG index could effectively predict all-cause mortality (HR for the third vs. first tertile of TyG was 1.441 [95% confidence interval, 1.009-2.059]), but not CV mortality, in rural Chinese patients with MetS. CONCLUSIONS The TyG index is an effective predictor of all-cause mortality in rural Chinese patients with MetS. This indicates that the TyG index may be useful for identifying rural Chinese individuals with MetS at a high risk of death.
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Affiliation(s)
- Shasha Yu
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - Qiyu Li
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - Hongmei Yang
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - Xiaofan Guo
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - GuangXiao Li
- Department of Clinical Epidemiology, Institute of Cardiovascular Diseases, First Hospital of China Medical University, Shenyang, 110001, China
| | - Yingxian Sun
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China.
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Liu C, Liang D, Xiao K, Xie L. Association between the triglyceride-glucose index and all-cause and CVD mortality in the young population with diabetes. Cardiovasc Diabetol 2024; 23:171. [PMID: 38755682 PMCID: PMC11097545 DOI: 10.1186/s12933-024-02269-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 05/07/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Although studies have demonstrated the value of the triglyceride-glucose (TyG) index for cardiovascular disease (CVD) and cardiovascular mortality, however, few studies have shown that the TyG index is associated with all-cause or CVD mortality in young patients with diabetes. This study aimed to investigate the association between the TyG index and all-cause and CVD mortality in young patients with diabetes in the United States. METHODS Our study recruited 2440 young patients with diabetes from the National Health and Nutrition Examination Survey (NHANES) 2001-2018. Mortality outcomes were determined by linking to National Death Index (NDI) records up to December 31, 2019. Cox regression modeling was used to investigate the association between TyG index and mortality in young patients with diabetes. The nonlinear association between TyG index and mortality was analyzed using restricted cubic splines (RCS), and a two-segment Cox proportional risk model was constructed for both sides of the inflection point. RESULTS During a median follow-up period of 8.2 years, 332 deaths from all causes and 82 deaths from cardiovascular disease were observed. Based on the RCS, the TyG index was found to have a U-shaped association with all-cause and CVD mortality in young patients with diabetes, with threshold values of 9.18 and 9.16, respectively. When the TyG index was below the threshold value (TyG index < 9.18 in all-cause mortality and < 9.16 in CVD mortality), its association with all-cause and CVD mortality was not significant. When the TyG index was above the threshold (TyG index ≥ 9.18 in all-cause mortality and ≥ 9.16 in CVD mortality), it showed a significant positive association with all-cause mortality and CVD mortality (HR 1.77, 95% CI 1.05-2.96 for all-cause mortality and HR 2.38, 95% CI 1.05-5.38 for CVD mortality). CONCLUSION Our results suggest a U-shaped association between TyG index and all-cause and CVD mortality among young patients with diabetes in the United States, with threshold values of 9.18 and 9.16 for CVD and all-cause mortality, respectively.
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Affiliation(s)
- Chang Liu
- School of Medicine, Nankai University, Tianjin, China
| | - Dan Liang
- Department of Endocrine, People'ss Hospital of Chongqing Liang Jiang New Area, Chongqing, China.
- West China Medical College of Sichuan University, Sichuan, China.
| | - Kun Xiao
- College of Pulmonary and Critical Care Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
| | - Lixin Xie
- School of Medicine, Nankai University, Tianjin, China.
- College of Pulmonary and Critical Care Medicine, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
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Alavi Tabatabaei G, Mohammadifard N, Rafiee H, Nouri F, Maghami Mehr A, Najafian J, Sadeghi M, Boshtam M, Roohafza H, Haghighatdoost F, Taheri M, Sarrafzadegan N. Association of the triglyceride glucose index with all-cause and cardiovascular mortality in a general population of Iranian adults. Cardiovasc Diabetol 2024; 23:66. [PMID: 38347581 PMCID: PMC10863153 DOI: 10.1186/s12933-024-02148-8] [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: 10/21/2023] [Accepted: 01/29/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND The triglyceride glucose (TyG) index is a new and low-cost marker to determine insulin resistant which may be a predictor of cardiovascular disease (CVD). Although available evidence showed that its association with CVD mortality (CVM) and all-cause mortality (ACM) may differ in different populations, scarce data are available in this regard specially in low and middle-income countries. PURPOSE To examine the association between TyG index and risk of CVM and ACM in Iranians. METHODS This prospective cohort study included 5432 adults (age ≥ 35 years) with no history of CVD events. Fasting glucose and triglyceride were measured at baseline in all participants and TyG index was calculated. Cox frailty model was used to calculate hazard ratios (HRs) for CVM and ACM across the tertiles of TyG index. RESULTS After a median follow-up of 11.25 years, a total number of 191 cardiovascular deaths, and 487 all-cause mortality was recorded. The risk of both CVM and ACM increased across the tertiles of TyG index. In the adjusted model for lifestyle and metabolic variables, the risks of ACM and CVM increased by 41% (95% CI 1.11, 1.81; P for trend = 0.005) and 64% (95% CI 1.07, 2.50; P for trend = 0.024), respectively. However, adjustment for diabetes mellitus disappeared the significance for both ACM and CVM. These associations may vary by sex. TyG was not related to the risk of non-CVD mortality. CONCLUSION The predicting value of TyG index for ACM and CVM might be mediated by diabetes status. Further studies are required to confirm these findings.
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Affiliation(s)
- Ghazaal Alavi Tabatabaei
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, P. O. Box: 81745-15, Isfahan, Iran
| | - Noushin Mohammadifard
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamed Rafiee
- Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fatemeh Nouri
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, P. O. Box: 81745-15, Isfahan, Iran
| | | | - Jamshid Najafian
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Masoumeh Sadeghi
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Maryam Boshtam
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamidreza Roohafza
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, P. O. Box: 81745-15, Isfahan, Iran
| | - Fahimeh Haghighatdoost
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, P. O. Box: 81745-15, Isfahan, Iran.
| | - Marzieh Taheri
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, P. O. Box: 81745-15, Isfahan, Iran
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, P. O. Box: 81745-15, Isfahan, Iran
- Faculty of Medicine, School of Population and Public Health, University of British Columbia, Vancouver, Canada
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Yao Y, Wang B, Geng T, Chen J, Chen W, Li L. The association between TyG and all-cause/non-cardiovascular mortality in general patients with type 2 diabetes mellitus is modified by age: results from the cohort study of NHANES 1999-2018. Cardiovasc Diabetol 2024; 23:43. [PMID: 38281973 PMCID: PMC10823741 DOI: 10.1186/s12933-024-02120-6] [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: 11/08/2023] [Accepted: 01/02/2024] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND The prognostic value of triglyceride-glucose (TyG) index in general type 2 diabetes mellitus (T2DM) patients is still unclear. Therefore, we aimed to determine the associations between TyG and all-cause/cause-specific death in a T2DM cohort and explore whether such associations would be modified by age. METHODS A total of 3,376 patients with T2DM from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were selected and divided into the younger group (< 65 yrs) and the older group (≥ 65 yrs). Baseline TyG was calculated and cause-specific mortality status [cardiovascular (CV), cancer, and non-CV] was determined by the NHANES Public-Use Linked Mortality Files through 31 December 2019. Multivariate Cox and restricted cubic spline (RCS) regression models were used to evaluate the association between TyG and all-cause/cause-specific mortality. Interaction between TyG and age to mortality was also evaluated. Sensitivity analyses were performed in patients without cardiovascular disease, chronic kidney disease, or insulin treatment. RESULTS During a median follow-up of 107 months, 805 all-cause deaths occurred, of which 250 and 144 were attributed to CV and cancer deaths. There was a significant age interaction to the association between TyG and all-cause/non-CV mortality. After fully adjusting for potential confounding factors, higher TyG was associated with an increased risk of all-cause [TyG per unit increase Hazard Ratio (HR) 1.33, 95% Confidence Interval (CI) 1.06-1.66, p = 0.014] and non-CV mortality (TyG per unit increase HR 1.54, 95% CI 1.18-2.01, p = 0.002) only in the younger group, but not in the older group. There was no significant association between TyG and CV/cancer death in the total cohort and two age subgroups. Similar results were found in RCS and sensitivity analyses. CONCLUSION In a national sample of patients with T2DM in the United States, we found that the association between TyG and all-cause/non-CV death was modified by age. Higher TyG was only associated with an increased risk of all-cause/non-CV only in T2DM patients younger than 65 years old, but not in older patients.
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Affiliation(s)
- Younan Yao
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Bo Wang
- Department of Emergency Medicine, Research Center of Cardiovascular Disease, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China
| | - Tian Geng
- Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Jiyan Chen
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
| | - Wan Chen
- Department of Emergency Medicine, Research Center of Cardiovascular Disease, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, 530021, China.
| | - Liwen Li
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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Pang J, Qian L, Che X, Lv P, Xu Q. TyG index is a predictor of all-cause mortality during the long-term follow-up in middle-aged and elderly with hypertension. Clin Exp Hypertens 2023; 45:2272581. [PMID: 37902269 DOI: 10.1080/10641963.2023.2272581] [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: 04/18/2023] [Accepted: 10/14/2023] [Indexed: 10/31/2023]
Abstract
BACKGROUND The triglyceride and glucose (TyG) index has been found to be significantly associated with a higher risk of mortality. However, there has been a lack of studies exploring the specific relationship between the TyG index and all-cause and cardiovascular mortality among middle-aged and elderly with hypertension. METHODS A total of 3,614 participants with hypertension were enrolled from the National Health and Nutrition Examination Survey. The TyG index was calculated using the formula log [fasting triglycerides (mg/dL) x fasting glucose (mg/dL)/2]. The Cox proportional hazard ratios were used to evaluate the association between the TyG index and the risk of mortality. RESULTS Over a follow-up period of 7.87 years, 991 all-cause death and 189 cardiovascular deaths occurred. Compared with the reference quartile, the multivariate-adjusted hazard ratios and 95% confidence intervals were 1.28 (1.07-1.53; p = .006) in the fourth quartile for all-cause mortality and 0.63 (0.42-0.96; p = .031) in the second quartile for cardiovascular mortality. Dose-response analysis indicated an L-shaped relationship. CONCLUSIONS The TyG index exhibited an L-shaped association with the risk of all-cause mortality among middle-aged and elderly with hypertension.
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Affiliation(s)
- Jie Pang
- Heart Center, Department of Cardiovascular Medicine, Zhejiang Provincical People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Linyan Qian
- Heart Center, Department of Cardiovascular Medicine, Zhejiang Provincical People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Xiaoru Che
- Heart Center, Department of Cardiovascular Medicine, Zhejiang Provincical People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Ping Lv
- Heart Center, Department of Cardiovascular Medicine, Zhejiang Provincical People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Qiang Xu
- Heart Center, Department of Cardiovascular Medicine, Zhejiang Provincical People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China
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Zhang N, Chi X, Zhou Z, Song Y, Li S, Xu J, Li J. Triglyceride-glucose index is associated with a higher risk of stroke in a hypertensive population. Cardiovasc Diabetol 2023; 22:346. [PMID: 38093283 PMCID: PMC10720217 DOI: 10.1186/s12933-023-02082-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND This study aimed to evaluate the association of triglyceride-glucose (TyG) index, an insulin resistance surrogate biomarker, with first stroke in a hypertensive population and to explore potential influencing factors. METHODS This study, a cohort study among a rural Chinese hypertensive population, utilized data from the China Stroke Primary Prevention Trial (CSPPT). The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Multivariate analysis using Cox proportional hazards models was conducted. RESULTS A total of 7569 hypertensive patients were included in this study. When TyG index was assessed as quartiles, compared with the reference group (Quartile 1), the hazard ratio of stroke was 1.04 in Quartile 2, 1.43 in Quartile 3, and 1.45 in Quartile 4, with a significant trend test (P = 0.013). When Quartiles 3 and 4 were combined (≥ 8.8), the hazard ratio was 1.41 compared with combined Quartiles 1 and 2 (< 8.8). Similar findings were observed for the association of TyG index with ischemic stroke. Further, a joint effect of baseline TyG index and age on first stroke was found. Using the group with TyG < 8.8 and age < 60 years as a reference, the highest hazard ratio of stroke was found in the group with a higher TyG index and aged 60 or greater (HR: 2.15, 95% CI 1.50, 3.07, P < 0.001). CONCLUSIONS In a hypertensive population, baseline TyG index was associated with a significantly higher risk of first stroke. In addition, age was a significant effect modifier for this association.
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Affiliation(s)
- Nan Zhang
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Xiying Chi
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Ziyi Zhou
- Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Yun Song
- Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Shuqun Li
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Jiafeng Xu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.
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Liang S, Wang C, Zhang J, Liu Z, Bai Y, Chen Z, Huang H, He Y. Triglyceride-glucose index and coronary artery disease: a systematic review and meta-analysis of risk, severity, and prognosis. Cardiovasc Diabetol 2023; 22:170. [PMID: 37415168 PMCID: PMC10327356 DOI: 10.1186/s12933-023-01906-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND The TyG index is an indicator of insulin resistance (IR), which is associated with the development and prognosis of cardiovascular disease. This study aimed to summarize the relationship between the TyG index and the risk, severity, and prognosis of coronary artery disease (CAD) by performing a systematic review and meta-analysis. METHODS The PubMed, EMBASE, The Cochrane Library, and Web of Science databases were searched for articles published from inception until May 1, 2023. Cross-sectional studies, retrospective or prospective cohort studies recruiting patients with CAD were included. For the analysis of CAD severity, the outcomes were coronary artery calcification, coronary artery stenosis, coronary plaque progression, multi-vessel CAD, and in-stent re-stenosis. For the analysis of CAD prognosis, the primary outcome was major adverse cardiovascular events (MACE). RESULTS Forty-one studies were included in this study. Compared to patients with the lowest TyG index, those with the highest TyG index had a higher CAD risk [odds ratio (OR): 1.94, 95% confidence interval (CI) 1.20-3.14, I2 = 91%, P = 0.007]. Additionally, these patients were more likely to have stenotic coronary arteries (OR: 3.49, 95% CI 1.71-7.12, I2 = 0%, P = 0.0006), progressed plaques (OR: 1.67, 95% CI 1.28-2.19, I2 = 0%, P = 0.002), and with more vessels involved (OR: 2.33, 95% CI 1.59-3.42, I2 = 0%, P < 0.0001). When calculated as a categorized variable, it appears that acute coronary syndrome (ACS) patients with higher TyG index levels may have a higher incidence rate of MACE [hazard ratio (HR): 2.09, 95% CI 1.68-2.62, I2 = 87%, P < 0.00001], whereas chronic coronary syndrome (CCS) or stable CAD patients with higher TyG index levels showed a trend towards an increased incidence rate of MACE (HR: 1.24, 95% CI 0.96-1.60, I2 = 85%, P = 0.09). When calculated as a continuous variable, ACS patients had an HR of 2.28 per 1-unit/1-standard deviation increment of the TyG index (95% CI 1.44-3.63, I2 = 95%, P = 0.0005). Similarly, CCS or stable CAD patients had an HR of 1.49 per 1-unit/1-standard deviation increment of the TyG index (95% CI 1.21-1.83, I2 = 75%, P = 0.0001). Myocardial infarction with non-obstructive coronary arteries patients had an HR of 1.85 per 1-unit increment of the TyG index (95% CI 1.17-2.93, P = 0.008). CONCLUSIONS The TyG index is a simple new synthetic index that has been proven to be a valuable tool in the whole-course management of CAD patients. Patients with higher TyG index levels are at a higher risk of CAD, more severe coronary artery lesions, and worse prognosis compared to those with lower TyG index levels.
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Affiliation(s)
- Shichu Liang
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China
| | - Cui Wang
- Department of Endocrinology & Metabolism, Laboratory of Endocrinology & Metabolism, and Rare Disease Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Zhang
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - Zhiyue Liu
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China
| | - Yanlin Bai
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhonglan Chen
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - He Huang
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China.
| | - Yong He
- Department of Cardiology, West China Hospital, Sichuan University, No.37 GuoXue Alley, Chengdu, 610041, China.
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