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Central and peripheral blood pressures in relation to the triglyceride-glucose index in a Chinese population

Cardiovascular Diabetology volume 23, Article number: 3 (2024) Cite this article

Abstract

Background

The triglyceride-glucose (TyG) index has been proposed as a surrogate marker of insulin resistance. However, the relationship between the TyG index and central blood pressure (BP), has not been well studied in adults.

Methods

A total of 715 Chinese adult participants were enrolled in this study. Anthropometric and BP were assessed. The TyG index was calculated as ln[fasting triglycerides(mg/dL) × fasting glucose(mg/dL)/2]. Central BP was measured using SphygmoCor system.

Results

The participants were stratified into three groups based on the TyG index, and significant differences were observed in metabolic and cardiovascular parameters and the prevalence of hypertension among the groups. Both brachial (β = 1.38, P = 0.0310; group highest vs. lowest, β = 2.66, P = 0.0084) and aortic (β = 2.38, P = 0.0002; group highest vs. lowest, β = 3.96, P = 0.0001) diastolic BP were significantly and independently associated with the TyG index and increasing TyG index tertile. However, there was no independent association between the TyG index and systolic BP. A one-unit increase in the TyG index was associated with a 46% higher risk of hypertension (P = 0.0121), and compared with the lowest group, participants in the highest group had a 95% higher risk of hypertension (P = 0.0057).

Conclusions

Our study demonstrates a significant and independent association between the TyG index and both brachial and aortic diastolic BP in Chinese adults. Furthermore, the TyG index was found to be an independent predictor of hypertension.

Background

Hypertension, is a significant global health concern that affects more than one billion adults worldwide [1]. It is well established that hypertension is a risk factor for cardiovascular diseases (CVDs), stroke, and renal disease [1]. Primary hypertension in adults is primarily caused by a sedentary lifestyle and subsequent weight gain, as well as insulin resistance which plays a crucial role in its pathogenesis [2, 3]. Recent studies, but not all [4], have shown that the triglyceride-glucose index (TyG index), a measure of insulin resistance, is strongly associated with an increased risk of prehypertension and hypertension in children and adolescents [5], or in middle-aged and elderly adults [6,7,8,9,10,11,12], highlighting the importance of early identification of insulin resistance.

Previous studies explored the association between the TyG Index and presence, or incidence of hypertension had produced inconsistent results [5,6,7,8,9,10,11]. Additionally, some previous studies have focused solely on specific populations, such as apparently healthy children and adolescents [5], normal-weight Chinese adults [13], or metabolically obese normal-weight subjects [4], hypertensive patients [12], or elderly individuals [11]. Furthermore, all the previous studies have focused on the relationship between the TyG Index and peripheral pressure-based hypertension. Emerging research suggests that central pressure might provide additional predictive value for cardiovascular events over and above peripheral blood pressure (BP) [14]. Central pressure reflects the load on the heart and arteries more accurately, making it a valuable predictor of cardiovascular risk. Only one study, conducted on Chinese hypertensive adults, has found a positive and independent association between the TyG index and central systolic BP [12]. In the present cross-sectional analysis, we investigated associations of the TyG index with central and peripheral BP in a Chinese general population.

Methods

Study population

The present cross-sectional analysis was based on the data from an ongoing population study on multiple cardiovascular risk factors in Dali, Yunnan Province, China [15, 16]. The study participants were recruited from two communities in Dali. From October to December 2018, we invited all inhabitants aged 18 years or older to participate. Of those invited, 764 (70%) participated. The ethics committee of the Dali University approved the study protocol. All participants provided written informed consent. We excluded 49 participants because they did not have blood samples collected (n = 6) or arterial (n = 38) or anthropometric measurements (n = 5). Thus, a total of 715 participants were included in the present analysis.

Fieldwork

Two experienced physicians conducted five consecutive brachial BP measurements for each participant using a mercury sphygmomanometer. Participants were required to rest for a minimum of 5 min in a seated position before these measurements were taken. The average of these five BP readings was used for the analysis. Additionally, the same physicians administered a standardized questionnaire to gather information about participants’ medical history, smoking habits, alcohol consumption, and medication usage. Hypertension was defined as having a brachial systolic BP of at least 140 mmHg or a diastolic BP of 90 mmHg, or if participants were using antihypertensive medications [17].

Anthropometric measurements were conducted by a trained physician, and the body mass index (BMI) was determined by dividing an individual’s body weight in kilograms by the square of their height in meters. Waist circumference measurements were taken at the midpoint between the last rib and iliac crest, while hip circumference measurements were obtained at the widest part of the hip. The waist-to-hip ratio was then calculated by dividing the waist circumference by the hip circumference.

Venous blood samples were collected from participants after an overnight fast to measure various biochemical markers, including plasma glucose, hemoglobin A1c, serum creatinine, and lipid profile. Plasma glucose, serum total cholesterol, triglyceride, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and creatinine levels are all tested using standard methods in the laboratory of the First Affiliated Hospital of Dali University. Diabetes mellitus was diagnosed if the fasting plasma glucose level was at least 7.0 mmol/L, or if the hemoglobin A1c level was at least 6.5%, or if individuals were using antidiabetic agents [18]. TyG index TyG = Ln [fasting triglycerides (mg/dL)*fasting plasma glucose (mg/dL)/2] [19].

Central BP measurement

To ensure stability during measurements, a qualified physician conducted all arterial assessments using applanation tonometry after participants had rested in a supine position for 15 min. Participants were instructed to abstain from smoking, intense physical activity, and the consumption of alcohol or caffeine-containing beverages for a minimum of 2 h before the examination. For recording arterial waveforms, we utilized a high-fidelity SPC-301 micromanometer manufactured by Millar Instruments, which was connected to a laptop computer running SphygmoCor version 7.1 software developed by AtCor Medical. To maintain data quality, recordings were excluded if consecutive waveform variations exceeded 5% or if the pulse wave signal amplitude fell below 80 mV. Prior to the SphygmoCor recordings, pulse wave calibration was performed using the average of two consecutive brachial BP readings measured in the supine position. This calibration was executed with a validated Omron HEM-7051 oscillometric BP monitor manufactured by Omron. Using the radial signal as input, the SphygmoCor software applied a validated generalized transfer function to compute the aortic pulse wave [20]. Subsequently, central systolic and diastolic BP values were derived from the aortic pulse wave.

Statistical analysis

Database management and statistical analyses were performed using SAS version 9.4 and EmpowerStats version 4.1. Means and proportions were compared with the analysis of variance, chi-square test, or Fisher’s exact test, respectively. The TyG index was used as both a continuous variable and a categorical variable (tertiles of the TyG index) to analyze its relationship with peripheral and central BP. We performed single (model 1) and multiple (model 2) linear regression analyses to study the associations of the TyG index with central and peripheral BP. The variables adjusted in the model 2 included sex, age, BMI, current smoking, current drinking, and current antihypertensive treatment. We performed single and multiple logistic regression analyses to study the associations of the TyG index with risk of hypertension. P values < 0.05 were considered statistically significant.

Results

Characteristics of the study population

The 715 participants included 467 (65.31%) women, 226 (31.61%) hypertensive patients. Table 1 displays the clinical and laboratory characteristics of the study cohort. The participants were categorized into three groups based on their TyG index levels. Substantial differences in metabolic parameters and BP were evident across these groups. Variables such as BMI, waist circumference, hip circumference, waist-to-hip ratio, total cholesterol, triglyceride, brachial BP, pulse rate, and aortic BP exhibited positive associations with the increasing TyG index tertile. Furthermore, the TyG index tertile showed positive associations with current smoking, current drinking, and the prevalence of diabetes mellitus, hypertension, and ongoing antihypertensive treatment. It’s worth noting that there were fewer women in the second and third tertile of the TyG index groups.

Table 1 Basic characteristics of the study population according to the TyG Index
Full size table

Linear regression analysis of the TyG index and brachial BP

The association between the TyG index and brachial BP was further examined through both linear single and multiple regression analyses, considering the TyG index as both a continuous and categorical variable (divided into tertiles, with the first tertile as the reference). In the unadjusted model (model 1), the TyG index exhibited an association with elevated brachial systolic and diastolic BP, as well as pulse pressure (P ≤ 0.0139). However, after adjusting for confounding factors, only brachial diastolic BP showed a significant association with a higher TyG index. Specifically, a one-unit increase in the TyG index correlated with a 1.38 mmHg increase in brachial diastolic BP (P = 0.0310). Furthermore, when compared to participants in the lowest TyG index tertile, those in the highest tertile had a 2.66 mmHg higher brachial diastolic BP (P = 0.0084) (Table 2).

Table 2 The relationship between the TyG index and brachial blood pressure
Full size table

Linear regression analysis of the TyG index and aortic BP

The association between the TyG index and aortic BP was further examined through both linear single and multiple regression analyses, considering the TyG index as both a continuous and categorical variable (divided into tertiles, with the first tertile as the reference). In the unadjusted model (model 1), the TyG index exhibited an association with elevated aortic systolic and diastolic BP (P ≤ 0.0018). However, after adjusting for confounding factors, only aortic diastolic BP showed a significant association with a higher TyG index. Specifically, a one-unit increase in the TyG index correlated with a 2.38 mmHg increase in aortic diastolic BP (P = 0.0002). Furthermore, when compared to participants in the lowest TyG index tertile, those in the highest tertile had 3.96 mmHg higher aortic diastolic BP (P = 0.0001) (Table 3).

Table 3 The relationship between the TyG index and aortic blood pressure
Full size table

Logistic regression analysis of the TyG index and risk of Hypertension

Both before and after adjusted for confounding factors, higher TyG index was associated with a higher risk of hypertension. Indeed, a one-unit increase of TyG index was associated with a 45% higher risk of hypertension (P = 0.0121) after adjusting for multiple risk factors. Furthermore, when compared to participants in the lowest TyG index tertile, those in the highest tertile had a 95% higher risk of hypertension (P = 0.0057) (Table 4).

Table 4 The relationship between TyG index and risk of hypertension
Full size table

Discussion

In this study, we identified a significant and independent relationship between the TyG index, both brachial and aortic diastolic BP, and the risk of hypertension. As central pressure may be predictive of cardiovascular events, in addition to and independent of brachial pressure, our finding therefore may have clinical implications for cardiovascular prevention by improving insulin sensitivity.

To the best of our knowledge, this is the first study to demonstrate such a relationship between the TyG index and aortic diastolic BP in the general population. Previous studies mainly focused on the association of the TyG index with prevalence or incidence of hypertension [5, 9, 11, 21, 22], while very few studies pay attention to BP components [12] or hypertension subtypes [8]. Our study again confirmed that a higher TyG index was related to an increased risk of hypertension. However, we found that the TyG index is primarily associated with elevated peripheral and central diastolic BP, and its relationship with systolic BP is not independently significant. Therefore, it is inferred that hypertension related to the TyG index is mainly characterized by isolated diastolic hypertension.

The TyG index, which is a surrogate marker of insulin resistance, is known to be associated with metabolic parameters, hypertension [5, 9, 11, 21, 22], and CVDs [23,24,25]. Several insulin resistance related mechanisms are involved in the pathogenesis of hypertension. Previous studies have shown that insulin resistance can promote the formation of advanced glycation end products, increase oxidative stress and systemic inflammation, lead to mitochondrial dysfunction, dyslipidemia, endothelial dysfunction, decrease nitro oxide synthesis, and increase volume load. These mechanisms together lead to increased peripheral vascular resistance and preload, ultimately resulting in the development of hypertension [26]. Insulin resistance also plays a key role in the progression of hypertension-induced target organ damage, like left ventricular hypertrophy, atherosclerosis and chronic kidney disease [27].

Our study did not find a significant independent association between the TyG index and peripheral or central systolic BP, possibly due to the majority of the study participants being middle-aged with a relatively lower proportion of obesity. In fact, the Reaction Study found that an elevated TyG index is significantly associated with hypertension in the subgroup of the oldest age (≥ 65) (OR 1.67, 95% CI 1.30–2.14, P < 0.0001), as well as with obesity (BMI ≥ 28 kg/m2) (OR 1.85, 95% CI 1.29–2.66, P = 0.0009) or lower estimated glomerular filtration rate (eGFR) (< 90 mL/(min·1.73 m2)) (OR 1.72, 95% CI 1.33–2.21, P < 0.0001) [11]. We speculate that in older individuals, insulin resistance may more easily lead to arterial stiffness [28, 29] and increased volume load, manifesting mainly as isolated systolic hypertension. However, this study cannot rule out the possibility that antihypertensive, lipid-lowering, and hypoglycemic treatments may attenuate the relationship between the TyG index and systolic BP. Indeed, Wang et al. found a significant association between the TyG index and central systolic BP in 9249 Chinese hypertensive adults, and the association was limited to hypertensive patients who do not use antihypertensive drugs (β = 1.03, 95% CI: 0.46–1.60, P < 0.001) [12]. Furthermore, central diastolic BP was not assessed in their study, and their study population consisted exclusively of hypertensive patients [12]. Therefore, a direct comparison between their findings and ours is not possible.

Our study examined the relationship between peripheral and central BP and the TyG index in a Chinese population, further highlighting the important value of the TyG index in predicting hypertension. However, our study is limited by its cross-sectional design, which precludes any causal inference. Additionally, we only performed a single measurement of plasma glucose and serum triglyceride concentrations, which are influenced by various factors and may fluctuate over time. Furthermore, central BP was measured using a noninvasive device, and our findings may be specific to this device. Nonetheless, the SphygmoCor device has been previously validated for estimating central BP [30]. Additionally, the present study was conducted solely on a Chinese general population. As a result, the generalizability of our findings is constrained.

Conclusions

In conclusion, our study has demonstrated a significant and independent association between the TyG index and both brachial and aortic diastolic BP. Furthermore, we found that the TyG index is independently associated with an increased risk of hypertension. As a simple-to-calculate marker of insulin resistance, the TyG index appears to be a useful indicator of BP and cardiovascular risk. However, further large-scale prospective studies are needed to fully elucidate the exact mechanism underlying the relationship between the TyG index and hypertension.

Data Availability

The datasets used during the study are available from the corresponding author (Prof. Li-Hua Li) on reasonable request.

Abbreviations

TyG index:

Triglyceride-glucose index

BP:

Blood pressure

BMI:

Body mass index

HDL-C:

High-density lipoprotein cholesterol

LDL-C:

Low-density lipoprotein cholesterol

CVDs:

Cardiovascular diseases

References

  1. Fisher NDL, Curfman G. Hypertension—A Public Health Challenge of Global proportions. JAMA. 2018;320(17):1757–9.

    Article  PubMed  Google Scholar 

  2. Sowers JR. Insulin resistance and Hypertension. Am J Physiol Heart Circ Physiol. 2004;286(5):H1597–602.

    Article  CAS  PubMed  Google Scholar 

  3. Soleimani M. Insulin resistance and Hypertension: new insights. Kidney Int. 2015;87(3):497–9.

    Article  PubMed  Google Scholar 

  4. Morales-Gurrola G, Simental-Mendía LE, Castellanos-Juárez FX, Salas-Pacheco JM, Guerrero-Romero F. The triglycerides and glucose index is associated with cardiovascular risk factors in metabolically obese normal-weight subjects. J Endocrinol Invest. 2020;43(7):995–1000.

    Article  CAS  PubMed  Google Scholar 

  5. Simental-Mendía LE, Hernández-Ronquillo G, Gamboa-Gómez CI, Gómez-Díaz R, Rodríguez-Morán M, Guerrero-Romero F. The triglycerides and glucose index is associated with elevated blood pressure in apparently healthy children and adolescents. Eur J Pediatr. 2019;178(7):1069–74.

    Article  PubMed  Google Scholar 

  6. Xie H, Song J, Sun L, Xie X, Sun Y. Independent and combined effects of triglyceride-glucose index on prehypertension risk: a cross-sectional survey in China. J Hum Hypertens. 2020;35(3):207–14.

    Article  PubMed  Google Scholar 

  7. Wang Y, Yang W, Jiang X. Association between triglyceride-glucose index and Hypertension: a Meta-analysis. Front Cardiovasc Med. 2021;8:644035.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Jian S, Su-Mei N, Xue C, Jie Z, Xue-sen W. Association and interaction between triglyceride–glucose index and obesity on risk of Hypertension in middle-aged and elderly adults. Clin Exp Hypertens. 2017;39(8):732–9.

    Article  PubMed  Google Scholar 

  9. Sánchez-Íñigo L, Navarro-González D, Pastrana-Delgado J, Fernández-Montero A, Martínez JA. Association of triglycerides and new lipid markers with the incidence of Hypertension in a Spanish cohort. J Hypertens. 2016;34(7):1257–65.

    Article  PubMed  Google Scholar 

  10. Wang K, He G, Zhang Y, Yin J, Yan Y, Zhang Y, Wang K. Association of triglyceride-glucose index and its interaction with obesity on Hypertension risk in Chinese: a population-based study. J Hum Hypertens. 2020;35(3):232–9.

    Article  PubMed  Google Scholar 

  11. Zhu B, Wang J, Chen K, Yan W, Wang A, Wang W, Gao Z, Tang X, Yan L, Wan Q, et al. A high triglyceride glucose index is more closely associated with Hypertension than lipid or glycemic parameters in elderly individuals: a cross-sectional survey from the reaction study. Cardiovasc Diabetol. 2020;19(1):112.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Wang L, Cao TY, Li JQ, Ding CC, Li JP, Ying HB, Liu LS, Huang X. Positive association between triglyceride glucose index and central systolic blood pressure among hypertensive adults. J Geriatr Cardiol. 2022;19(10):753–60.

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Liu XZ, Fan J, Pan SJ. METS-IR, a novel simple insulin resistance indexes, is associated with Hypertension in normal‐weight Chinese adults. J Clin Hypertens. 2019;21(8):1075–81.

    Article  CAS  Google Scholar 

  14. McEniery CM, Cockcroft JR, Roman MJ, Franklin SS, Wilkinson IB. Central blood pressure: current evidence and clinical importance. Eur Heart J. 2014;35(26):1719–25.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Liang W-Y, Wang L-H, Wei J-H, Li Q-L, Li Q-Y, Liang Q, Hu N-Q, Li L-H. No significant association of serum klotho concentration with blood pressure and pulse wave velocity in a Chinese population. Sci Rep. 2021;11(1):2374.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Jamal MT, Li QL, Li QY, Liang WY, Wang LH, Wei JH, Liang Q, Hu NQ, Li LH. Association of thyroid hormones with blood pressure and arterial stiffness in the general population: the Dali study. J Clin Hypertens. 2020;23(2):363–72.

    Article  Google Scholar 

  17. Liu J. Highlights of the 2018 Chinese Hypertension guidelines. Clin Hypertens. 2020;26:8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Buysschaert M, Medina JL, Buysschaert B, Bergman M. Definitions (and current controversies) of Diabetes and Prediabetes. Curr Diabetes Rev. 2016;12(1):8–13.

    Article  CAS  PubMed  Google Scholar 

  19. Sánchez-Íñigo L, Navarro‐González D, Fernández‐Montero A, Pastrana‐Delgado J, Martínez JA. The TyG index may predict the development of cardiovascular events. Eur J Clin Invest. 2016;46(2):189–97.

    Article  PubMed  Google Scholar 

  20. Gallagher D, Adji A, O’Rourke MF. Validation of the transfer function technique for generating central from peripheral upper limb pressure waveform. Am J Hypertens. 2004;17(11 Pt 1):1059–67.

    Article  PubMed  Google Scholar 

  21. Zheng R, Mao Y. Triglyceride and glucose (TyG) index as a predictor of incident Hypertension: a 9-year longitudinal population-based study. Lipids Health Dis. 2017;16(1):175.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Bala C, Gheorghe-Fronea O, Pop D, Pop C, Caloian B, Comsa H, Bozan C, Matei C, Dorobantu M. The Association between six surrogate insulin resistance indexes and Hypertension: a Population-based study. Metab Syndr Relat Disord. 2019;17(6):328–33.

    Article  CAS  PubMed  Google Scholar 

  23. Park B, Lee Y-J, Lee HS, Jung D-H. The triglyceride-glucose index predicts Ischemic Heart Disease risk in koreans: a prospective study using National Health Insurance Service data. Cardiovasc Diabetol. 2020;19(1):210.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Li H, Zuo Y, Qian F, Chen S, Tian X, Wang P, Li X, Guo X, Wu S, Wang A. Triglyceride-glucose index variability and incident Cardiovascular Disease: a prospective cohort study. Cardiovasc Diabetol. 2022;21(1):105.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Tao L-C, Xu J-n, Wang T-t, Hua F, Li J-J. Triglyceride-glucose index as a marker in Cardiovascular Diseases: landscape and limitations. Cardiovasc Diabetol. 2022;21(1):68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Sakr HF, Sirasanagandla SR, Das S, Bima AI, Elsamanoudy AZ. Insulin resistance and Hypertension: mechanisms involved and modifying factors for effective glucose control. Biomedicines. 2023;11(8):2271.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Mancusi C, Izzo R, di Gioia G, Losi MA, Barbato E, Morisco C. Insulin resistance the Hinge between Hypertension and Type 2 Diabetes. High Blood Press Cardiovasc Prev. 2020;27(6):515–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Won K-B, Park G-M, Lee S-E, Cho I-J, Kim HC, Lee BK, Chang H-J. Relationship of insulin resistance estimated by triglyceride glucose index to arterial stiffness. Lipids Health Dis. 2018;17(1):268.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lee SB, Ahn CW, Lee BK, Kang S, Nam JS, You JH, Kim MJ, Kim MK, Park JS. Association between triglyceride glucose index and arterial stiffness in Korean adults. Cardiovasc Diabetol. 2018;17(1):41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Ding FH, Li Y, Zhang RY, Zhang Q, Wang JG. Comparison of the SphygmoCor and Omron devices in the estimation of pressure amplification against the invasive catheter measurement. J Hypertens. 2013;31(1):86–93.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We thank all the staff and participants of the Dali cohort for their invaluable contributions.

Funding

Our work was supported by the National Natural Science Foundation of China (Nos. 82260076 and 81860084), the Xingdian Famous Physician Special Project of Yunnan Province, the Youth Top-notch Talents Program of the Ten Thousand Talents Plan of Yunnan Province, Yunnan Key Specialties, and the Key Discipline of the First Affiliated Hospital of Dali University.

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Author notes

  1. Yin-Hua Sun, Nai-Qing Hu and Xian-Yi Huang contributed equally to this work.

Authors and Affiliations

  1. Department of Gerontology, The First Affiliated Hospital of Dali University, Jiashibo Road 32, Dali, 671000, Yunnan Province, China

    Yin-Hua Sun, Nai-Qing Hu, Xian-Yi Huang, Zheng-Xin Liu, Qi-Yan Li, Qing-Lu Li & Li-Hua Li

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Contributions

LLH designed the study. SYH, HNQ, HXY, LZX, LQY and LQL assisted with data acquisition. LLH and SYH performed the statistical analyses. LLH drafted the manuscript. All authors read and approved the final manuscript.

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Correspondence to Li-Hua Li.

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The study was approved by the Ethics Committees of Dali University. Participants gave informed consent to participate before taking part.

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The authors declare no competing interests.

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Sun, YH., Hu, NQ., Huang, XY. et al. Central and peripheral blood pressures in relation to the triglyceride-glucose index in a Chinese population. Cardiovasc Diabetol 23, 3 (2024). https://doi.org/10.1186/s12933-023-02068-z

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Keywords

Cardiovascular Diabetology

ISSN: 1475-2840