Journal of Shanghai Jiao Tong University (Medical Science) ›› 2022, Vol. 42 ›› Issue (3): 267-274.doi: 10.3969/j.issn.1674-8115.2022.03.002
• Management of chronic cardiovascular and cerebrovascular diseases colum • Previous Articles Next Articles
ZHANG Tong1(), TIAN Xue2, ZUO Yingting2, ZHENG Manqi2, ZHANG Yijun1,3, WU Shouling4, CHEN Shuohua4, MA Gaoting5, TONG Xu5, WANG Anxin1,3, MO Dapeng5()
Received:
2021-12-30
Online:
2022-03-28
Published:
2022-05-09
Contact:
MO Dapeng
E-mail:skyscorpion0168@hotmail.com;modapeng1971@163.com
Supported by:
CLC Number:
ZHANG Tong, TIAN Xue, ZUO Yingting, ZHENG Manqi, ZHANG Yijun, WU Shouling, CHEN Shuohua, MA Gaoting, TONG Xu, WANG Anxin, MO Dapeng. Association of triglyceride-glucose index with cardiovascular disease in people without traditional risk factors[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 267-274.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2022.03.002
Characteristic | Overall | Quartiles of TyG index | F/Z/c2 value | P value | |||
---|---|---|---|---|---|---|---|
Q1 (n=8 132) | Q2 (n=8 133) | Q3 (n=8 134) | Q4 (n=8 133) | ||||
TyG index | 7.62±0.61 | 6.90±0.25 | 7.40±0.11 | 7.76±0.11 | 8.42±0.40 | 53.59 | 0.000 |
Age/year | 48.26±12.89 | 46.36±13.68 | 48.37±13.14 | 48.94±12.67 | 49.36±11.79 | 86.99 | 0.000 |
Male/n (%) | 20 823 (64.01) | 4 444 (54.65) | 5 010 (61.60) | 5 433 (66.79) | 5 936 (72.99) | 6.04 | 0.000 |
High school or above/n (%) | 8 135 (26.03) | 2 669 (34.27) | 2 038 (25.98) | 1 679 (21.42) | 1 749 (22.48) | 4.41 | 0.000 |
Income(≥800 yuan/month)/n (%) | 4 541 (14.54) | 1 351 (17.35) | 1 104 (14.08) | 1 014 (12.94) | 1 072 (13.78) | 7.78 | 0.000 |
Active physical activity/n (%) | 3 353 (10.74) | 913 (11.74) | 840 (10.73) | 778 (9.94) | 822 (10.57) | 1.94 | 0.003 |
Current drinker/n (%) | 8 162 (25.90) | 2 054 (26.20) | 1 972 (24.98) | 1 855 (23.47) | 2 281 (28.97) | 6.19 | 0.000 |
BMI/(kg·m-2) | 24.20±3.33 | 22.75±3.05 | 23.84±3.22 | 24.59±3.15 | 25.63±3.22 | 1 185.60 | 0.000 |
SBP/mmHg | 116.69±11.26 | 113.80±11.78 | 116.21±11.31 | 117.48±10.83 | 119.25±10.35 | 344.59 | 0.000 |
DBP/mmHg | 76.00±6.91 | 74.28±7.38 | 75.69±6.98 | 76.56±6.55 | 77.50±6.28 | 325.27 | 0.000 |
FBG/(mg·dL-1) | 90.31±11.82 | 85.19±10.7 | 88.89±10.71 | 92.06±11.11 | 95.11±12.33 | 1 168.30 | 0.000 |
TC/(mg·dL-1) | 187.01±39.01 | 176.14±34.00 | 185.17±33.22 | 192.43±34.87 | 194.30±49.09 | 375.85 | 0.000 |
TAG/(mg·dL-1) | 54.94±43.12 | 24.25±5.58 | 37.46±5.94 | 51.81±8.47 | 106.22±58.41 | 1 188.00 | 0.000 |
HDL-C/(mg·dL-1) | 61.28±13.77 | 62.47±13.68 | 61.68±13.59 | 61.23±13.69 | 59.76±13.99 | 55.53 | 0.000 |
LDL-C/(mg·dL-1) | 84.67±29.70 | 77.39±31.24 | 85.29±29.44 | 88.85±27.03 | 87.16±29.62 | 242.17 | 0.000 |
10-y ASCVD | 2.95±3.76 | 2.52±3.76 | 2.99±3.96 | 3.15±3.86 | 3.15±3.39 | 49.18 | 0.000 |
Tab 1 Comparison of baseline characteristics among the different quartiles of TyG index
Characteristic | Overall | Quartiles of TyG index | F/Z/c2 value | P value | |||
---|---|---|---|---|---|---|---|
Q1 (n=8 132) | Q2 (n=8 133) | Q3 (n=8 134) | Q4 (n=8 133) | ||||
TyG index | 7.62±0.61 | 6.90±0.25 | 7.40±0.11 | 7.76±0.11 | 8.42±0.40 | 53.59 | 0.000 |
Age/year | 48.26±12.89 | 46.36±13.68 | 48.37±13.14 | 48.94±12.67 | 49.36±11.79 | 86.99 | 0.000 |
Male/n (%) | 20 823 (64.01) | 4 444 (54.65) | 5 010 (61.60) | 5 433 (66.79) | 5 936 (72.99) | 6.04 | 0.000 |
High school or above/n (%) | 8 135 (26.03) | 2 669 (34.27) | 2 038 (25.98) | 1 679 (21.42) | 1 749 (22.48) | 4.41 | 0.000 |
Income(≥800 yuan/month)/n (%) | 4 541 (14.54) | 1 351 (17.35) | 1 104 (14.08) | 1 014 (12.94) | 1 072 (13.78) | 7.78 | 0.000 |
Active physical activity/n (%) | 3 353 (10.74) | 913 (11.74) | 840 (10.73) | 778 (9.94) | 822 (10.57) | 1.94 | 0.003 |
Current drinker/n (%) | 8 162 (25.90) | 2 054 (26.20) | 1 972 (24.98) | 1 855 (23.47) | 2 281 (28.97) | 6.19 | 0.000 |
BMI/(kg·m-2) | 24.20±3.33 | 22.75±3.05 | 23.84±3.22 | 24.59±3.15 | 25.63±3.22 | 1 185.60 | 0.000 |
SBP/mmHg | 116.69±11.26 | 113.80±11.78 | 116.21±11.31 | 117.48±10.83 | 119.25±10.35 | 344.59 | 0.000 |
DBP/mmHg | 76.00±6.91 | 74.28±7.38 | 75.69±6.98 | 76.56±6.55 | 77.50±6.28 | 325.27 | 0.000 |
FBG/(mg·dL-1) | 90.31±11.82 | 85.19±10.7 | 88.89±10.71 | 92.06±11.11 | 95.11±12.33 | 1 168.30 | 0.000 |
TC/(mg·dL-1) | 187.01±39.01 | 176.14±34.00 | 185.17±33.22 | 192.43±34.87 | 194.30±49.09 | 375.85 | 0.000 |
TAG/(mg·dL-1) | 54.94±43.12 | 24.25±5.58 | 37.46±5.94 | 51.81±8.47 | 106.22±58.41 | 1 188.00 | 0.000 |
HDL-C/(mg·dL-1) | 61.28±13.77 | 62.47±13.68 | 61.68±13.59 | 61.23±13.69 | 59.76±13.99 | 55.53 | 0.000 |
LDL-C/(mg·dL-1) | 84.67±29.70 | 77.39±31.24 | 85.29±29.44 | 88.85±27.03 | 87.16±29.62 | 242.17 | 0.000 |
10-y ASCVD | 2.95±3.76 | 2.52±3.76 | 2.99±3.96 | 3.15±3.86 | 3.15±3.39 | 49.18 | 0.000 |
Item | Quartiles of TyG index | |||
---|---|---|---|---|
Q1 (n=8 132) | Q2 (n=8 133) | Q3 (n=8 134) | Q4 (n=8 133) | |
Cardiovascular disease | ||||
Case/n (%) | 221 (2.72) | 295 (3.63) | 352 (4.33) | 456 (5.61) |
Incidence rate/per 1 000 person-year | 2.17 (1.90‒2.48) | 2.92 (2.60‒3.27) | 3.49 (3.14‒3.87) | 4.52 (4.13‒4.96) |
HR(95%CI) | ||||
Model 1 | 1 | 1.23 (1.03‒1.47) | 1.43 (1.21‒1.70) | 1.86 (1.58‒2.18) |
Model 2 | 1 | 1.16 (0.97‒1.38) | 1.29 (1.08‒1.53) | 1.60 (1.35‒1.90) |
Stroke | ||||
Case/n (%) | 193 (2.37) | 249 (3.06) | 286 (3.52) | 356 (4.38) |
Incidence rate/per 1 000 person-year | 1.89 (1.64‒-2.18) | 2.46 (2.17‒-2.78) | 2.82 (2.51‒3.17) | 3.51 (3.17‒3.90) |
HR(95%CI) | ||||
Model 1 | 1 | 1.19 (0.99‒1.44) | 1.33 (1.11‒1.60) | 1.65 (1.39‒1.97) |
Model 2 | 1 | 1.12 (0.93‒1.36) | 1.21 (1.00‒1.46) | 1.44 (1.20‒1.73) |
Myocardial infarction | ||||
Case/n (%) | 32 (0.39) | 50 (0.61) | 68 (0.84) | 105 (1.29) |
Incidence rate/per 1 000 person-year | 0.31 (0.22‒0.44) | 0.49 (0.37‒0.65) | 0.66 (0.62‒0.84) | 1.03 (0.85‒1.24) |
HR(95%CI) | ||||
Model 1 | 1 | 1.43 (0.92‒2.23) | 1.89 (1.24‒2.88) | 2.91 (1.96‒4.33) |
Model 2 | 1 | 1.32 (0.84‒2.06) | 1.64 (1.07‒2.51) | 2.41 (1.60‒3.65) |
Tab 2 Association between TyG index and incident cardiovascular disease by multivariable Cox proportional hazards model
Item | Quartiles of TyG index | |||
---|---|---|---|---|
Q1 (n=8 132) | Q2 (n=8 133) | Q3 (n=8 134) | Q4 (n=8 133) | |
Cardiovascular disease | ||||
Case/n (%) | 221 (2.72) | 295 (3.63) | 352 (4.33) | 456 (5.61) |
Incidence rate/per 1 000 person-year | 2.17 (1.90‒2.48) | 2.92 (2.60‒3.27) | 3.49 (3.14‒3.87) | 4.52 (4.13‒4.96) |
HR(95%CI) | ||||
Model 1 | 1 | 1.23 (1.03‒1.47) | 1.43 (1.21‒1.70) | 1.86 (1.58‒2.18) |
Model 2 | 1 | 1.16 (0.97‒1.38) | 1.29 (1.08‒1.53) | 1.60 (1.35‒1.90) |
Stroke | ||||
Case/n (%) | 193 (2.37) | 249 (3.06) | 286 (3.52) | 356 (4.38) |
Incidence rate/per 1 000 person-year | 1.89 (1.64‒-2.18) | 2.46 (2.17‒-2.78) | 2.82 (2.51‒3.17) | 3.51 (3.17‒3.90) |
HR(95%CI) | ||||
Model 1 | 1 | 1.19 (0.99‒1.44) | 1.33 (1.11‒1.60) | 1.65 (1.39‒1.97) |
Model 2 | 1 | 1.12 (0.93‒1.36) | 1.21 (1.00‒1.46) | 1.44 (1.20‒1.73) |
Myocardial infarction | ||||
Case/n (%) | 32 (0.39) | 50 (0.61) | 68 (0.84) | 105 (1.29) |
Incidence rate/per 1 000 person-year | 0.31 (0.22‒0.44) | 0.49 (0.37‒0.65) | 0.66 (0.62‒0.84) | 1.03 (0.85‒1.24) |
HR(95%CI) | ||||
Model 1 | 1 | 1.43 (0.92‒2.23) | 1.89 (1.24‒2.88) | 2.91 (1.96‒4.33) |
Model 2 | 1 | 1.32 (0.84‒2.06) | 1.64 (1.07‒2.51) | 2.41 (1.60‒3.65) |
Item | HR (95%CI) | |||
---|---|---|---|---|
Q1 (n=8 132) | Q2 (n=8 133) | Q3 (n=8 134) | Q4 (n=8 133) | |
Cardiovascular disease | ||||
Excluding LDL-C≥130 mg·dL-1 (n=1 987) | 1 | 1.18 (0.98‒1.41) | 1.26 (1.06‒1.51) | 1.59 (1.34‒1.90) |
Excluding SBP≥130 mm Hg or DBP ≥80 mm Hg (n=17 526) | 1 | 1.54 (1.16‒2.05) | 1.86 (1.40‒2.47) | 1.75 (1.30‒2.36) |
Excluding HDL-C<50 mg·dL-1 in women (n=2 001) | 1 | 1.14 (0.95‒1.36) | 1.26 (1.05‒1.50) | 1.59 (1.34‒1.89) |
Stroke | ||||
Excluding LDL-C≥130 mg·dL-1 (n=1 987) | 1 | 1.15 (0.95‒1.40) | 1.20 (0.99‒1.46) | 1.43 (1.18‒1.73) |
Excluding SBP≥130 mm Hg or DBP ≥80 mm Hg (n=17 526) | 1 | 1.46 (1.07‒1.99) | 1.63 (1.19‒2.23) | 1.58 (1.14‒2.19) |
Excluding HDL-C<50 mg·dL-1 in women (n=2 001) | 1 | 1.10 (0.91‒1.34) | 1.19 (0.99‒1.44) | 1.43 (1.19‒1.73) |
Myocardial infarction | ||||
Excluding LDL-C≥130 mg·dL-1 (n=1 987) | 1 | 1.31 (0.83‒2.07) | 1.51 (0.97‒2.35) | 2.39 (1.57‒3.65) |
Excluding SBP≥130 mm Hg or DBP ≥80 mm Hg (n=17 526) | 1 | 1.88 (0.93‒3.79) | 2.64 (1.34‒5.20) | 2.30 (1.13‒4.69) |
Excluding HDL-C<50 mg·dL-1 in women (n=2 001) | 1 | 1.32 (0.84‒2.06) | 1.53 (0.99‒2.36) | 2.37 (1.57‒3.59) |
Tab 3 Sensitivity analyses for the association between TyG index and incident cardiovascular disease
Item | HR (95%CI) | |||
---|---|---|---|---|
Q1 (n=8 132) | Q2 (n=8 133) | Q3 (n=8 134) | Q4 (n=8 133) | |
Cardiovascular disease | ||||
Excluding LDL-C≥130 mg·dL-1 (n=1 987) | 1 | 1.18 (0.98‒1.41) | 1.26 (1.06‒1.51) | 1.59 (1.34‒1.90) |
Excluding SBP≥130 mm Hg or DBP ≥80 mm Hg (n=17 526) | 1 | 1.54 (1.16‒2.05) | 1.86 (1.40‒2.47) | 1.75 (1.30‒2.36) |
Excluding HDL-C<50 mg·dL-1 in women (n=2 001) | 1 | 1.14 (0.95‒1.36) | 1.26 (1.05‒1.50) | 1.59 (1.34‒1.89) |
Stroke | ||||
Excluding LDL-C≥130 mg·dL-1 (n=1 987) | 1 | 1.15 (0.95‒1.40) | 1.20 (0.99‒1.46) | 1.43 (1.18‒1.73) |
Excluding SBP≥130 mm Hg or DBP ≥80 mm Hg (n=17 526) | 1 | 1.46 (1.07‒1.99) | 1.63 (1.19‒2.23) | 1.58 (1.14‒2.19) |
Excluding HDL-C<50 mg·dL-1 in women (n=2 001) | 1 | 1.10 (0.91‒1.34) | 1.19 (0.99‒1.44) | 1.43 (1.19‒1.73) |
Myocardial infarction | ||||
Excluding LDL-C≥130 mg·dL-1 (n=1 987) | 1 | 1.31 (0.83‒2.07) | 1.51 (0.97‒2.35) | 2.39 (1.57‒3.65) |
Excluding SBP≥130 mm Hg or DBP ≥80 mm Hg (n=17 526) | 1 | 1.88 (0.93‒3.79) | 2.64 (1.34‒5.20) | 2.30 (1.13‒4.69) |
Excluding HDL-C<50 mg·dL-1 in women (n=2 001) | 1 | 1.32 (0.84‒2.06) | 1.53 (0.99‒2.36) | 2.37 (1.57‒3.59) |
Item | HR (95%CI) | P for interaction | |||
---|---|---|---|---|---|
Q1 (n=8 132) | Q2 (n=8 133) | Q3 (n=8 134) | Q4 (n=8 133) | ||
Women (n=11 709) | |||||
Cardiovascular disease | 1 | 1.20 (0.78‒1.86) | 1.65 (1.09‒2.49) | 1.77 (1.16‒2.69) | 0.317 |
Stroke | 1 | 1.21 (0.77‒1.91) | 1.51 (0.97‒2.35) | 1.52 (0.97‒2.39) | 0.519 |
Myocardial infarction | 1 | 1.12 (0.25‒5.09) | 3.14 (0.86‒11.49) | 4.36 (1.20‒15.88) | 0.272 |
Men (n=20 823) | |||||
Cardiovascular disease | 1 | 1.14 (0.94‒1.38) | 1.21 (1.00‒1.46) | 1.53 (1.27‒1.85) | ‒ |
Stroke | 1 | 1.09 (0.89‒1.35) | 1.14 (0.93‒1.41) | 1.39 (1.14‒1.71) | ‒ |
Myocardial infarction | 1 | 1.33 (0.84‒2.13) | 1.46 (0.92‒2.30) | 2.14 (1.38‒3.32) | ‒ |
Tab 4 Gender-specific association between TyG index and incident cardiovascular disease
Item | HR (95%CI) | P for interaction | |||
---|---|---|---|---|---|
Q1 (n=8 132) | Q2 (n=8 133) | Q3 (n=8 134) | Q4 (n=8 133) | ||
Women (n=11 709) | |||||
Cardiovascular disease | 1 | 1.20 (0.78‒1.86) | 1.65 (1.09‒2.49) | 1.77 (1.16‒2.69) | 0.317 |
Stroke | 1 | 1.21 (0.77‒1.91) | 1.51 (0.97‒2.35) | 1.52 (0.97‒2.39) | 0.519 |
Myocardial infarction | 1 | 1.12 (0.25‒5.09) | 3.14 (0.86‒11.49) | 4.36 (1.20‒15.88) | 0.272 |
Men (n=20 823) | |||||
Cardiovascular disease | 1 | 1.14 (0.94‒1.38) | 1.21 (1.00‒1.46) | 1.53 (1.27‒1.85) | ‒ |
Stroke | 1 | 1.09 (0.89‒1.35) | 1.14 (0.93‒1.41) | 1.39 (1.14‒1.71) | ‒ |
Myocardial infarction | 1 | 1.33 (0.84‒2.13) | 1.46 (0.92‒2.30) | 2.14 (1.38‒3.32) | ‒ |
1 | LAAKSO M, KUUSISTO J. Insulin resistance and hyperglycaemia in cardiovascular disease development[J]. Nat Rev Endocrinol, 2014, 10(5): 293-302. |
2 | VLACHOPOULOS C, DIMA I, AZNAOURIDIS K, et al. Acute systemic inflammation increases arterial stiffness and decreases wave reflections in healthy individuals[J]. Circulation, 2005, 112(14): 2193-2200. |
3 | HANLEY A J G, WILLIAMS K, STERN MP, et al. Homeostasis model assessment of insulin resistance in relation to the incidence of cardiovascular disease[J]. Diabetes Care, 2002, 25(7): 1177-1184. |
4 | ORMAZABAL V, NAIR S, ELFEKY O, et al. Association between insulin resistance and the development of cardiovascular disease[J]. Cardiovasc Diabetol, 2018, 17(1): 122. |
5 | WU S J, LIU W, MA Q, et al. Association between insulin resistance and coronary plaque vulnerability in patients with acute coronary syndromes: insights from optical coherence tomography[J]. Angiology, 2019, 70(6): 539-546. |
6 | LEE S B, AHN C W, LEE B K, et al. Association between triglyceride glucose index and arterial stiffness in Korean adults[J]. Cardiovasc Diabetol, 2018, 17(1): 41. |
7 | TIAN X, ZUO Y T, CHEN S H, et al. Triglyceride-glucose index is associated with the risk of myocardial infarction: an 11-year prospective study in the Kailuan cohort[J]. Cardiovasc Diabetol, 2021, 20(1): 19. |
8 | YANG X L, LI J X, HU D S, et al. Predicting the 10-year risks of atherosclerotic cardiovascular disease in Chinese population: the China-PAR project (prediction for ASCVD risk in China)[J]. Circulation, 2016, 134(19): 1430-1440. |
9 | LEE E Y, YANG H K, LEE J, et al. Triglyceride glucose index, a marker of insulin resistance, is associated with coronary artery stenosis in asymptomatic subjects with type 2 diabetes[J]. Lipids Health Dis, 2016, 15(1): 155. |
10 | XIE Y X, GUO R R, LI Z, et al. Temporal relationship between body mass index and triglyceride-glucose index and its impact on the incident of hypertension[J]. Nutr Metab Cardiovasc Dis, 2019, 29(11): 1220-1229. |
11 | ASLAN ÇIN N N, YARDIMCI H, KOÇ N, et al. Triglycerides/high-density lipoprotein cholesterol is a predictor similar to the triglyceride-glucose index for the diagnosis of metabolic syndrome using International Diabetes Federation criteria of insulin resistance in obese adolescents: a cross-sectional study[J]. J Pediatr Endocrinol Metab, 2020, 33(6): 777-784. |
12 | SÁNCHEZ-ÍÑIGO L, NAVARRO-GONZÁLEZ D, FERNÁNDEZ-MONTERO A, et al. The TyG index may predict the development of cardiovascular events[J]. Eur J Clin Invest, 2016, 46(2): 189-197. |
13 | LIU Y H, WU M Y, XU J M, et al. Association between triglyceride and glycose (TyG) index and subclinical myocardial injury[J]. Nutr Metab Cardiovasc Dis, 2020, 30(11): 2072-2076. |
14 | WANG A X, TIAN X, ZUO Y T, et al. Change in triglyceride-glucose index predicts the risk of cardiovascular disease in the general population: a prospective cohort study[J]. Cardiovasc Diabetol, 2021, 20(1): 113. |
15 | VASQUES A C J, NOVAES F S, DE OLIVEIRA M, et al. TyG index performs better than HOMA in a Brazilian population: a hyperglycemic clamp validated study[J]. Diabetes Res Clin Pract, 2011, 93(3): e98-e100. |
16 | CHAMROONKIADTIKUN P, ANANCHAISARP T, WANICHANON W. The triglyceride-glucose index, a predictor of type 2 diabetes development: a retrospective cohort study[J]. Prim Care Diabetes, 2020, 14(2): 161-167. |
17 | LUO E F, WANG D, YAN G L, et al. High triglyceride-glucose index is associated with poor prognosis in patients with acute ST-elevation myocardial infarction after percutaneous coronary intervention[J]. Cardiovasc Diabetol, 2019, 18(1): 150. |
18 | SHI W R, XING L Y, JING L, et al. Value of triglyceride-glucose index for the estimation of ischemic stroke risk: insights from a general population[J]. Nutr Metab Cardiovasc Dis, 2020, 30(2): 245-253. |
19 | ZHAO S, YU S K, CHI C, et al. Association between macro- and microvascular damage and the triglyceride glucose index in community-dwelling elderly individuals: the Northern Shanghai Study[J]. Cardiovasc Diabetol, 2019, 18(1): 95. |
20 | PARK J S, CHO M H, AHN C W, et al. The association of insulin resistance and carotid atherosclerosis with thigh and calf circumference in patients with type 2 diabetes[J]. Cardiovasc Diabetol, 2012, 11: 62. |
21 | TRIPOLINO C, IRACE C, SCAVELLI F B, et al. Triglyceride glucose index and common carotid wall shear stress[J]. J Investig Med, 2014, 62(2): 340-344. |
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