Value of triglyceride-glucose index for the estimation of ischemic stroke risk: Insights from a general population
Recent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin resistance contributes to ischemic stroke via multiple mechanisms. Our study aimed to investigate the association between TyG and prevalent...
Saved in:
| Published in | Nutrition, metabolism, and cardiovascular diseases Vol. 30; no. 2; pp. 245 - 253 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier B.V
10.02.2020
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0939-4753 1590-3729 1590-3729 |
| DOI | 10.1016/j.numecd.2019.09.015 |
Cover
Loading…
| Abstract | Recent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin resistance contributes to ischemic stroke via multiple mechanisms. Our study aimed to investigate the association between TyG and prevalent ischemic stroke, exploring the value of TyG to optimize the risk stratification of ischemic stroke.
This cross-sectional study included 10,900 subjects (mean age: 59.95 years, 59.8% females) from rural areas of northeast China between September 2017 to May 2018. TyG was calculated as ln[fasting triglyceride (mg/dl) × fasting plasma glucose (mg/dl)/2]. The prevalence of ischemic stroke was 5.49%. After adjusting for all covariates, each SD increment of TyG caused 22.8% additional risk for ischemic stroke. When dividing TyG into quartiles, the top quartile had a 1.776 times risk for ischemic stroke against the bottom category. Furthermore, smoothing curve fitting demonstrated this association was linear in the whole range of TyG. Finally, AUC revealed an improvement when introducing TyG into clinical risk factors (0.746 vs 0.751, p = 0.029). Consistently, category-free net reclassification index (0.195, 95% CI: 0.112–0.277, P < 0.001) and integrated discrimination index (0.003, 95% CI: 0.001–0.004, P < 0.001) confirmed the improvement by TyG to stratify ischemic stroke risk.
The prevent ischemic stroke correlated proportionally with the increment of TyG, implicating the linearity of TyG as an indicator of ischemic stroke. Our findings suggest the potential value of TyG to optimize the risk stratification of ischemic stroke in a general population.
•TyG index closely correlated with the prevalent ischemic stroke.•TyG may serve as a linear indicator for the presence of ischemic stroke.•TyG may have its potential to optimize the risk stratification of ischemic stroke. |
|---|---|
| AbstractList | Recent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin resistance contributes to ischemic stroke via multiple mechanisms. Our study aimed to investigate the association between TyG and prevalent ischemic stroke, exploring the value of TyG to optimize the risk stratification of ischemic stroke.This cross-sectional study included 10,900 subjects (mean age: 59.95 years, 59.8% females) from rural areas of northeast China between September 2017 to May 2018. TyG was calculated as ln[fasting triglyceride (mg/dl) × fasting plasma glucose (mg/dl)/2]. The prevalence of ischemic stroke was 5.49%. After adjusting for all covariates, each SD increment of TyG caused 22.8% additional risk for ischemic stroke. When dividing TyG into quartiles, the top quartile had a 1.776 times risk for ischemic stroke against the bottom category. Furthermore, smoothing curve fitting demonstrated this association was linear in the whole range of TyG. Finally, AUC revealed an improvement when introducing TyG into clinical risk factors (0.746 vs 0.751, p = 0.029). Consistently, category-free net reclassification index (0.195, 95% CI: 0.112–0.277, P < 0.001) and integrated discrimination index (0.003, 95% CI: 0.001–0.004, P < 0.001) confirmed the improvement by TyG to stratify ischemic stroke risk.The prevent ischemic stroke correlated proportionally with the increment of TyG, implicating the linearity of TyG as an indicator of ischemic stroke. Our findings suggest the potential value of TyG to optimize the risk stratification of ischemic stroke in a general population. Recent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin resistance contributes to ischemic stroke via multiple mechanisms. Our study aimed to investigate the association between TyG and prevalent ischemic stroke, exploring the value of TyG to optimize the risk stratification of ischemic stroke. This cross-sectional study included 10,900 subjects (mean age: 59.95 years, 59.8% females) from rural areas of northeast China between September 2017 to May 2018. TyG was calculated as ln[fasting triglyceride (mg/dl) × fasting plasma glucose (mg/dl)/2]. The prevalence of ischemic stroke was 5.49%. After adjusting for all covariates, each SD increment of TyG caused 22.8% additional risk for ischemic stroke. When dividing TyG into quartiles, the top quartile had a 1.776 times risk for ischemic stroke against the bottom category. Furthermore, smoothing curve fitting demonstrated this association was linear in the whole range of TyG. Finally, AUC revealed an improvement when introducing TyG into clinical risk factors (0.746 vs 0.751, p = 0.029). Consistently, category-free net reclassification index (0.195, 95% CI: 0.112–0.277, P < 0.001) and integrated discrimination index (0.003, 95% CI: 0.001–0.004, P < 0.001) confirmed the improvement by TyG to stratify ischemic stroke risk. The prevent ischemic stroke correlated proportionally with the increment of TyG, implicating the linearity of TyG as an indicator of ischemic stroke. Our findings suggest the potential value of TyG to optimize the risk stratification of ischemic stroke in a general population. •TyG index closely correlated with the prevalent ischemic stroke.•TyG may serve as a linear indicator for the presence of ischemic stroke.•TyG may have its potential to optimize the risk stratification of ischemic stroke. Recent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin resistance contributes to ischemic stroke via multiple mechanisms. Our study aimed to investigate the association between TyG and prevalent ischemic stroke, exploring the value of TyG to optimize the risk stratification of ischemic stroke. This cross-sectional study included 10,900 subjects (mean age: 59.95 years, 59.8% females) from rural areas of northeast China between September 2017 to May 2018. TyG was calculated as ln[fasting triglyceride (mg/dl) × fasting plasma glucose (mg/dl)/2]. The prevalence of ischemic stroke was 5.49%. After adjusting for all covariates, each SD increment of TyG caused 22.8% additional risk for ischemic stroke. When dividing TyG into quartiles, the top quartile had a 1.776 times risk for ischemic stroke against the bottom category. Furthermore, smoothing curve fitting demonstrated this association was linear in the whole range of TyG. Finally, AUC revealed an improvement when introducing TyG into clinical risk factors (0.746 vs 0.751, p = 0.029). Consistently, category-free net reclassification index (0.195, 95% CI: 0.112-0.277, P < 0.001) and integrated discrimination index (0.003, 95% CI: 0.001-0.004, P < 0.001) confirmed the improvement by TyG to stratify ischemic stroke risk. The prevent ischemic stroke correlated proportionally with the increment of TyG, implicating the linearity of TyG as an indicator of ischemic stroke. Our findings suggest the potential value of TyG to optimize the risk stratification of ischemic stroke in a general population. Recent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin resistance contributes to ischemic stroke via multiple mechanisms. Our study aimed to investigate the association between TyG and prevalent ischemic stroke, exploring the value of TyG to optimize the risk stratification of ischemic stroke.BACKGROUND AND AIMSRecent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin resistance contributes to ischemic stroke via multiple mechanisms. Our study aimed to investigate the association between TyG and prevalent ischemic stroke, exploring the value of TyG to optimize the risk stratification of ischemic stroke.This cross-sectional study included 10,900 subjects (mean age: 59.95 years, 59.8% females) from rural areas of northeast China between September 2017 to May 2018. TyG was calculated as ln[fasting triglyceride (mg/dl) × fasting plasma glucose (mg/dl)/2]. The prevalence of ischemic stroke was 5.49%. After adjusting for all covariates, each SD increment of TyG caused 22.8% additional risk for ischemic stroke. When dividing TyG into quartiles, the top quartile had a 1.776 times risk for ischemic stroke against the bottom category. Furthermore, smoothing curve fitting demonstrated this association was linear in the whole range of TyG. Finally, AUC revealed an improvement when introducing TyG into clinical risk factors (0.746 vs 0.751, p = 0.029). Consistently, category-free net reclassification index (0.195, 95% CI: 0.112-0.277, P < 0.001) and integrated discrimination index (0.003, 95% CI: 0.001-0.004, P < 0.001) confirmed the improvement by TyG to stratify ischemic stroke risk.METHODS AND RESULTSThis cross-sectional study included 10,900 subjects (mean age: 59.95 years, 59.8% females) from rural areas of northeast China between September 2017 to May 2018. TyG was calculated as ln[fasting triglyceride (mg/dl) × fasting plasma glucose (mg/dl)/2]. The prevalence of ischemic stroke was 5.49%. After adjusting for all covariates, each SD increment of TyG caused 22.8% additional risk for ischemic stroke. When dividing TyG into quartiles, the top quartile had a 1.776 times risk for ischemic stroke against the bottom category. Furthermore, smoothing curve fitting demonstrated this association was linear in the whole range of TyG. Finally, AUC revealed an improvement when introducing TyG into clinical risk factors (0.746 vs 0.751, p = 0.029). Consistently, category-free net reclassification index (0.195, 95% CI: 0.112-0.277, P < 0.001) and integrated discrimination index (0.003, 95% CI: 0.001-0.004, P < 0.001) confirmed the improvement by TyG to stratify ischemic stroke risk.The prevent ischemic stroke correlated proportionally with the increment of TyG, implicating the linearity of TyG as an indicator of ischemic stroke. Our findings suggest the potential value of TyG to optimize the risk stratification of ischemic stroke in a general population.CONCLUSIONThe prevent ischemic stroke correlated proportionally with the increment of TyG, implicating the linearity of TyG as an indicator of ischemic stroke. Our findings suggest the potential value of TyG to optimize the risk stratification of ischemic stroke in a general population. |
| Author | Sun, Qun Dai, Dong Jing, Li Xing, Liying Shi, Lei Tian, Yuanmeng Yan, Han Liu, Shuang Shi, Wenrui |
| Author_xml | – sequence: 1 givenname: Wenrui surname: Shi fullname: Shi, Wenrui organization: Department of Cardiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China – sequence: 2 givenname: Liying surname: Xing fullname: Xing, Liying organization: Department of Cardiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China – sequence: 3 givenname: Li surname: Jing fullname: Jing, Li organization: Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, People's Republic of China – sequence: 4 givenname: Yuanmeng surname: Tian fullname: Tian, Yuanmeng organization: Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, People's Republic of China – sequence: 5 givenname: Han surname: Yan fullname: Yan, Han organization: Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning, People's Republic of China – sequence: 6 givenname: Qun surname: Sun fullname: Sun, Qun organization: Disease Control and Prevention of Chao Yang City, Chaoyang, Liaoning, People's Republic of China – sequence: 7 givenname: Dong surname: Dai fullname: Dai, Dong organization: Disease Control and Prevention of Dan Dong City, Dandong, Liaoning, People's Republic of China – sequence: 8 givenname: Lei surname: Shi fullname: Shi, Lei organization: Disease Control and Prevention of Liao Yang City, Liaoyang, Liaoning, People's Republic of China – sequence: 9 givenname: Shuang surname: Liu fullname: Liu, Shuang email: Shuangliu_cmu1h@163.com organization: Department of Cardiovascular Ultrasound, The First Affiliated Hospital of China Medical University, Shenyang, 110005, Liaoning, People's Republic of China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31744716$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNkUuLFDEUhYOMOA_9ByJZuqk2qby6BhGGwcfAgBt1G1KpW93pTiVtkhL735ueHl3MpoUL2Zzv5HDOJToLMQBCrylZUELlu80izBPYYdES2i1IPSqeoQsqOtIw1XZn6IJ0rGu4EuwcXea8IYQpwvgLdM6o4lxReYHSD-NnwHHEJbmV31tIboBm5WcbM2AXBviNx5hwWQOGXNxkiovhALhs1zA5i3NJcQs4uby9xnchu9W6ZDymOGGDVxAgGY93cTf7B_Ylej4an-HV43uFvn_6-O32S3P_9fPd7c19YwXlpQFJTA2smO2VkUvRC2NpLztiFFka0RsquWqhY4OyvFedtKSTkvRkGBnnvGVX6O3Rd5fiz7lm11ONDN6bAHHOumWi5e2SLel_SOtnrRRUVembR-ncTzDoXaqVpL3-W2kV8KPApphzgvGfhBJ9WE5v9HE5fVhOk3pUVOz6CWZdeeirJOP8KfjDEYba5y8HSWfrIFgYXAJb9BDdKYP3Twysd8FZ47ewP43_AaxZy0o |
| CitedBy_id | crossref_primary_10_1186_s12933_023_02082_1 crossref_primary_10_1186_s12933_022_01577_7 crossref_primary_10_1186_s12933_020_01091_8 crossref_primary_10_3390_toxics13020118 crossref_primary_10_1097_MD_0000000000035886 crossref_primary_10_3389_fendo_2025_1481676 crossref_primary_10_31083_j_rcm2501028 crossref_primary_10_1186_s12933_024_02569_5 crossref_primary_10_1186_s12933_024_02122_4 crossref_primary_10_3389_fcvm_2021_774781 crossref_primary_10_1038_s41598_023_43512_0 crossref_primary_10_46332_aemj_1140228 crossref_primary_10_1186_s12933_023_01762_2 crossref_primary_10_1186_s12933_025_02583_1 crossref_primary_10_1186_s12933_023_02030_z crossref_primary_10_5551_jat_59840 crossref_primary_10_1186_s12933_020_01086_5 crossref_primary_10_3389_fendo_2024_1483468 crossref_primary_10_1016_j_diabet_2021_101314 crossref_primary_10_1038_s41598_021_94631_5 crossref_primary_10_1016_j_numecd_2020_07_041 crossref_primary_10_1016_j_numecd_2022_11_004 crossref_primary_10_3389_fcvm_2020_628109 crossref_primary_10_3389_fendo_2022_1023867 crossref_primary_10_4274_BMB_galenos_2022_2021_09_095 crossref_primary_10_3389_fonc_2022_1031259 crossref_primary_10_2196_30277 crossref_primary_10_1016_j_numecd_2021_07_027 crossref_primary_10_1016_j_diabres_2025_112064 crossref_primary_10_1186_s12933_023_01893_6 crossref_primary_10_1186_s12879_024_10005_y crossref_primary_10_1186_s12933_024_02308_w crossref_primary_10_2147_IJGM_S350474 crossref_primary_10_3390_diagnostics11040603 crossref_primary_10_1016_j_hest_2024_12_002 crossref_primary_10_1186_s43088_022_00329_6 crossref_primary_10_3389_fendo_2021_761397 crossref_primary_10_1186_s12933_022_01470_3 crossref_primary_10_1186_s12933_020_01031_6 crossref_primary_10_1016_j_numecd_2023_02_005 crossref_primary_10_1038_s41598_024_63886_z crossref_primary_10_3389_fendo_2024_1426196 crossref_primary_10_1186_s12933_020_01077_6 crossref_primary_10_3389_fonc_2022_826760 crossref_primary_10_3389_fneur_2022_782286 crossref_primary_10_3389_fcvm_2024_1386318 crossref_primary_10_1177_1747493020984069 crossref_primary_10_1186_s12883_021_02443_x crossref_primary_10_1186_s12889_024_20214_4 crossref_primary_10_1186_s13098_023_01161_3 crossref_primary_10_7759_cureus_65546 crossref_primary_10_1186_s12933_022_01510_y crossref_primary_10_3389_fendo_2023_1101952 crossref_primary_10_1016_j_numecd_2020_03_014 crossref_primary_10_1161_JAHA_124_037970 crossref_primary_10_1186_s12933_021_01383_7 crossref_primary_10_1159_000534240 crossref_primary_10_1155_2024_6417205 crossref_primary_10_1186_s12933_021_01238_1 crossref_primary_10_1097_MD_0000000000040534 crossref_primary_10_3389_fmed_2020_591036 crossref_primary_10_3389_fpubh_2023_1021378 crossref_primary_10_1186_s13098_024_01421_w crossref_primary_10_1186_s12933_022_01695_2 crossref_primary_10_31083_j_rcm2308263 crossref_primary_10_1016_j_amepre_2025_01_022 crossref_primary_10_1186_s12933_021_01330_6 crossref_primary_10_3389_fneur_2022_1033385 crossref_primary_10_1186_s12944_023_01834_y crossref_primary_10_1186_s12933_022_01732_0 crossref_primary_10_1186_s12933_022_01563_z crossref_primary_10_3389_fcvm_2020_583473 crossref_primary_10_1186_s12944_024_02155_4 crossref_primary_10_3389_fnut_2023_1051667 crossref_primary_10_1186_s12933_023_01983_5 crossref_primary_10_1038_s41598_022_05467_6 crossref_primary_10_2147_IJGM_S346997 crossref_primary_10_3389_fendo_2022_843072 crossref_primary_10_1186_s12944_022_01738_3 crossref_primary_10_1186_s12933_023_01870_z crossref_primary_10_1186_s12933_021_01268_9 crossref_primary_10_1186_s12933_023_01777_9 crossref_primary_10_1186_s12933_022_01664_9 crossref_primary_10_1186_s12933_025_02579_x crossref_primary_10_3389_fneur_2020_00456 crossref_primary_10_1016_j_diabet_2021_101246 crossref_primary_10_1186_s12933_019_0982_2 crossref_primary_10_1177_14791641221136203 |
| Cites_doi | 10.1161/STROKEAHA.111.635755 10.2174/1381612820666140620114948 10.1016/j.jstrokecerebrovasdis.2008.06.004 10.1016/j.clnu.2016.11.011 10.1016/S0140-6736(13)61097-1 10.1371/journal.pone.0153171 10.1152/ajpendo.00645.2007 10.2337/diacare.24.8.1476 10.1113/jphysiol.2009.169011 10.1093/nutrit/nuu012 10.1007/BF00280883 10.1002/sim.4085 10.2522/ptj.20080008 10.1002/sim.2929 10.1001/jama.2013.284427 10.1016/j.athoracsur.2014.10.084 10.1177/1747493016672083 10.1007/s00109-016-1385-4 10.1152/ajpendo.00133.2007 10.2337/db18-0439 10.1111/j.1365-2796.2007.01824.x 10.1007/s11011-017-0050-0 10.1177/1479164115604120 10.1038/ki.2014.392 10.1210/jc.2010-0288 10.1093/cvr/cvv132 10.1016/j.diabres.2011.05.030 10.1016/S0140-6736(05)66378-7 10.1038/jcbfm.2014.173 10.1161/ATVBAHA.111.241463 10.1016/j.cca.2016.11.009 10.1291/hypres.29.499 10.2215/CJN.09590911 10.1212/WNL.59.6.809 10.1016/j.atherosclerosis.2013.05.021 10.1046/j.1464-5491.2003.00958.x 10.1007/s11906-009-0027-4 10.2337/diacare.20.7.1183 10.1161/CIRCULATIONAHA.106.672402 10.2174/157016108783331295 10.1089/met.2008.0034 10.1155/2016/3634948 10.1186/s12986-015-0024-3 10.1007/s00592-010-0176-6 10.1172/JCI111133 10.1038/ijo.2014.11 10.1111/eci.12583 10.1016/j.cmet.2011.07.015 10.1212/WNL.0000000000001175 10.1210/jc.2015-3111 10.1016/j.bbadis.2017.12.038 |
| ContentType | Journal Article |
| Copyright | 2019 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University Copyright © 2019 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved. |
| Copyright_xml | – notice: 2019 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University – notice: Copyright © 2019 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved. |
| DBID | AAYXX CITATION NPM 7X8 7S9 L.6 |
| DOI | 10.1016/j.numecd.2019.09.015 |
| DatabaseName | CrossRef PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA PubMed MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1590-3729 |
| EndPage | 253 |
| ExternalDocumentID | 31744716 10_1016_j_numecd_2019_09_015 S0939475319303540 |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GeographicLocations | China |
| GeographicLocations_xml | – name: China |
| GroupedDBID | --- --K --M .1- .FO .~1 0R~ 123 1B1 1P~ 1~. 1~5 29N 4.4 457 4G. 5VS 7-5 71M 8P~ AAEDT AAEDW AAFWJ AAHBH AAIKJ AAKOC AALRI AAOAW AAQFI AATTM AAWTL AAXKI AAXUO AAYWO ABBQC ABMAC ABMZM ACDAQ ACGFS ACIEU ACRLP ACVFH ADBBV ADCNI ADEZE AEBSH AEIPS AEKER AENEX AEUPX AEVXI AFPUW AFRHN AFTJW AFXIZ AGCQF AGHFR AGUBO AGYEJ AIEXJ AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX AXJTR BKOJK BLXMC BNPGV CS3 DU5 EBS EFJIC EFKBS EO8 EO9 EP2 EP3 F5P FDB FEDTE FIRID FNPLU FYGXN G-Q GBLVA HVGLF IHE J1W KOM M41 MO0 N9A O-L O9- OAUVE OA~ OL0 OZT P-8 P-9 P2P PC. Q38 ROL RPZ SDF SDG SDH SEL SES SSH SSZ T5K Z5R ~G- AACTN AAIAV ABLVK ABYKQ AFCTW AFKWA AJOXV AMFUW EFLBG LCYCR ZA5 .GJ 53G AAYXX ABFNM ABWVN ABXDB ACRPL ADMUD ADNMO AFJKZ AGRNS AIGII CITATION EJD HZ~ RIG SEW NPM 7X8 7S9 L.6 |
| ID | FETCH-LOGICAL-c514t-e60a03773cb7a685b5ac1b690a708a5ba16472e93d7c4b796c09660b0df344423 |
| IEDL.DBID | .~1 |
| ISSN | 0939-4753 1590-3729 |
| IngestDate | Fri Jul 11 10:57:16 EDT 2025 Fri Jul 11 07:46:54 EDT 2025 Wed Feb 19 02:30:27 EST 2025 Tue Jul 01 04:30:58 EDT 2025 Thu Apr 24 22:54:46 EDT 2025 Fri Feb 23 02:48:15 EST 2024 Tue Aug 26 16:32:35 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | Triglyceride-glucose index Insulin resistance Hyperglycemia Ischemic stroke Dyslipidemia |
| Language | English |
| License | Copyright © 2019 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c514t-e60a03773cb7a685b5ac1b690a708a5ba16472e93d7c4b796c09660b0df344423 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
| PMID | 31744716 |
| PQID | 2316426517 |
| PQPubID | 23479 |
| PageCount | 9 |
| ParticipantIDs | proquest_miscellaneous_2352428381 proquest_miscellaneous_2316426517 pubmed_primary_31744716 crossref_primary_10_1016_j_numecd_2019_09_015 crossref_citationtrail_10_1016_j_numecd_2019_09_015 elsevier_sciencedirect_doi_10_1016_j_numecd_2019_09_015 elsevier_clinicalkey_doi_10_1016_j_numecd_2019_09_015 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2020-02-10 |
| PublicationDateYYYYMMDD | 2020-02-10 |
| PublicationDate_xml | – month: 02 year: 2020 text: 2020-02-10 day: 10 |
| PublicationDecade | 2020 |
| PublicationPlace | Netherlands |
| PublicationPlace_xml | – name: Netherlands |
| PublicationTitle | Nutrition, metabolism, and cardiovascular diseases |
| PublicationTitleAlternate | Nutr Metab Cardiovasc Dis |
| PublicationYear | 2020 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Zhou (bib31) 2002; 15 Pickering, Endre (bib51) 2012; 7 Grant (bib13) 2007; 262 Wang, An, Li, Yang, Tu, Gu (bib4) 2015; 84 Fitzgibbons, Czech (bib7) 2016; 94 Moore, Williams, Brown, Blair, Harper, Coward (bib39) 2015; 107 Muniyappa, Lee, Chen, Quon (bib47) 2008; 294 Bril, Sninsky, Baca, Superko, Portillo Sanchez, Biernacki (bib18) 2016; 101 Liu, Wang, Wong, Wang (bib1) 2011; 42 Shigematsu, Norimatsu, Ohtsuka, Okayama, Higaki (bib45) 2006; 29 Park, Kyeong, Park, Lee, Chang, Kim (bib9) 2008; 17 Hoy, Bruce, Cederberg, Turner, James, Cooney (bib26) 2007; 293 Shannon, Merovci, Xiong, Tripathy, Lorenzo, McClain (bib25) 2018 Eckel, Grundy, Zimmet (bib22) 2005; 365 Mikhail (bib21) 2009; 11 Stringer, Zahradka, Taylor (bib23) 2015; 73 Matthews, Hosker, Rudenski, Naylor, Treacher, Turner (bib49) 1985; 28 Vasques, Novaes, de Oliveira, Matos Souza, Yamanaka, Pareja (bib30) 2011; 93 (bib33) 1997; 20 Soleimani (bib44) 2015; 87 Schafer, Bauersachs (bib41) 2008; 6 Yki-Jarvinen (bib24) 1992; 13 Mooradian (bib38) 2009; 5 Newman, Dwyer, St-Pierre, Richards, Clark, Rattigan (bib15) 2009; 587 James, Oparil, Carter, Cushman, Dennison-Himmelfarb, Handler (bib32) 2014; 311 Pencina, D' Agostino, D' Agostino, Vasan (bib53) 2008; 27 Bornfeldt, Tabas (bib35) 2011; 14 DeFronzo, Tobin, Andres (bib48) 1979; 237 Rusinek, Ha, Yau, Storey, Tirsi, Tsui (bib16) 2015; 35 Gast, Smit, den Heijer, Middeldorp, Rippe, le Cessie (bib8) 2013; 229 Prakash, Chandran, Khadgawat, Jaryal, Deepak (bib14) 2016; 13 Pencina, D'Agostino, Steyerberg (bib52) 2011; 30 Ning, Wang, Yu, Waqar, Yu, Koike (bib36) 2015; 12 Feng, Zhao, Zhang, Yu, Zhang, Thijs (bib37) 2016; 11 Sanchez-Inigo, Navarro-Gonzalez, Fernandez-Montero, Pastrana-Delgado, Martinez (bib55) 2016; 46 Kain, Catto, Grant (bib11) 2003; 20 Cook (bib50) 2007; 115 Maria, Campolo, Scherlag, Ritchey, Lacombe (bib46) 2018; 1864 Yang, Wang, Zeng, Gao, Liang, Zhou (bib3) 2013; 381 Cade (bib42) 2008; 88 Grunkemeier, Jin (bib54) 2015; 99 Janus, Szahidewicz-Krupska, Mazur, Doroszko (bib40) 2016; 2016 Lee, Nam, Ahn, Hong, Kim, Sunwoo (bib43) 2012; 49 Slyper, Rosenberg, Kabra, Weiss, Blech, Gensler (bib10) 2014; 38 Ewang-Emukowhate, Perera, Wierzbicki (bib19) 2014; 20 Sparks, Sparks, Adeli (bib20) 2012; 32 Han, Liu, Wang, Tang, Feng, Astell-Burt (bib2) 2017; 36 Kernan, Inzucchi, Viscoli, Brass, Bravata, Horwitz (bib6) 2002; 59 Wang, Han, Hu (bib17) 2017; 464 Simental-Mendía, Rodríguez-Morán, Guerrero-Romero (bib28) 2008; 6 Vinik, Erbas, Park, Nolan, Pittenger (bib12) 2001; 24 Sanchez-Inigo, Navarro-Gonzalez, Fernandez-Montero, Pastrana-Delgado, Martinez (bib56) 2017; 12 Ferrannini, Barrett, Bevilacqua, DeFronzo (bib27) 1983; 72 Guerrero-Romero, Simental-Mendia, Gonzalez-Ortiz, Martinez-Abundis, Ramos-Zavala, Hernandez-Gonzalez (bib29) 2010; 95 Deng, Liu, Wang, Li, Cai (bib5) 2017; 32 Hatano (bib34) 1976; 54 Bornfeldt (10.1016/j.numecd.2019.09.015_bib35) 2011; 14 Vinik (10.1016/j.numecd.2019.09.015_bib12) 2001; 24 Sparks (10.1016/j.numecd.2019.09.015_bib20) 2012; 32 Han (10.1016/j.numecd.2019.09.015_bib2) 2017; 36 Shigematsu (10.1016/j.numecd.2019.09.015_bib45) 2006; 29 Matthews (10.1016/j.numecd.2019.09.015_bib49) 1985; 28 Bril (10.1016/j.numecd.2019.09.015_bib18) 2016; 101 Guerrero-Romero (10.1016/j.numecd.2019.09.015_bib29) 2010; 95 Kain (10.1016/j.numecd.2019.09.015_bib11) 2003; 20 James (10.1016/j.numecd.2019.09.015_bib32) 2014; 311 Gast (10.1016/j.numecd.2019.09.015_bib8) 2013; 229 Rusinek (10.1016/j.numecd.2019.09.015_bib16) 2015; 35 (10.1016/j.numecd.2019.09.015_bib33) 1997; 20 Liu (10.1016/j.numecd.2019.09.015_bib1) 2011; 42 Janus (10.1016/j.numecd.2019.09.015_bib40) 2016; 2016 Shannon (10.1016/j.numecd.2019.09.015_bib25) 2018 Hatano (10.1016/j.numecd.2019.09.015_bib34) 1976; 54 Ning (10.1016/j.numecd.2019.09.015_bib36) 2015; 12 Eckel (10.1016/j.numecd.2019.09.015_bib22) 2005; 365 Yki-Jarvinen (10.1016/j.numecd.2019.09.015_bib24) 1992; 13 Lee (10.1016/j.numecd.2019.09.015_bib43) 2012; 49 Pencina (10.1016/j.numecd.2019.09.015_bib53) 2008; 27 Muniyappa (10.1016/j.numecd.2019.09.015_bib47) 2008; 294 Sanchez-Inigo (10.1016/j.numecd.2019.09.015_bib56) 2017; 12 Newman (10.1016/j.numecd.2019.09.015_bib15) 2009; 587 Deng (10.1016/j.numecd.2019.09.015_bib5) 2017; 32 Wang (10.1016/j.numecd.2019.09.015_bib4) 2015; 84 Mikhail (10.1016/j.numecd.2019.09.015_bib21) 2009; 11 Wang (10.1016/j.numecd.2019.09.015_bib17) 2017; 464 Slyper (10.1016/j.numecd.2019.09.015_bib10) 2014; 38 Cade (10.1016/j.numecd.2019.09.015_bib42) 2008; 88 Zhou (10.1016/j.numecd.2019.09.015_bib31) 2002; 15 Cook (10.1016/j.numecd.2019.09.015_bib50) 2007; 115 Schafer (10.1016/j.numecd.2019.09.015_bib41) 2008; 6 Hoy (10.1016/j.numecd.2019.09.015_bib26) 2007; 293 Pencina (10.1016/j.numecd.2019.09.015_bib52) 2011; 30 Soleimani (10.1016/j.numecd.2019.09.015_bib44) 2015; 87 Grant (10.1016/j.numecd.2019.09.015_bib13) 2007; 262 Grunkemeier (10.1016/j.numecd.2019.09.015_bib54) 2015; 99 Ferrannini (10.1016/j.numecd.2019.09.015_bib27) 1983; 72 Feng (10.1016/j.numecd.2019.09.015_bib37) 2016; 11 Pickering (10.1016/j.numecd.2019.09.015_bib51) 2012; 7 Fitzgibbons (10.1016/j.numecd.2019.09.015_bib7) 2016; 94 Vasques (10.1016/j.numecd.2019.09.015_bib30) 2011; 93 Sanchez-Inigo (10.1016/j.numecd.2019.09.015_bib55) 2016; 46 Moore (10.1016/j.numecd.2019.09.015_bib39) 2015; 107 Prakash (10.1016/j.numecd.2019.09.015_bib14) 2016; 13 Ewang-Emukowhate (10.1016/j.numecd.2019.09.015_bib19) 2014; 20 Stringer (10.1016/j.numecd.2019.09.015_bib23) 2015; 73 Maria (10.1016/j.numecd.2019.09.015_bib46) 2018; 1864 Yang (10.1016/j.numecd.2019.09.015_bib3) 2013; 381 Park (10.1016/j.numecd.2019.09.015_bib9) 2008; 17 DeFronzo (10.1016/j.numecd.2019.09.015_bib48) 1979; 237 Simental-Mendía (10.1016/j.numecd.2019.09.015_bib28) 2008; 6 Kernan (10.1016/j.numecd.2019.09.015_bib6) 2002; 59 Mooradian (10.1016/j.numecd.2019.09.015_bib38) 2009; 5 |
| References_xml | – volume: 32 start-page: 2104 year: 2012 end-page: 2112 ident: bib20 article-title: Selective hepatic insulin resistance, VLDL overproduction, and hypertriglyceridemia publication-title: Arterioscler Thromb Vasc Biol – volume: 24 start-page: 1476 year: 2001 end-page: 1485 ident: bib12 article-title: Platelet dysfunction in type 2 diabetes publication-title: Diabetes Care – volume: 20 start-page: 1183 year: 1997 end-page: 1197 ident: bib33 article-title: Report of the expert committee on the diagnosis and classification of diabetes mellitus publication-title: Diabetes Care – volume: 99 start-page: 388 year: 2015 end-page: 392 ident: bib54 article-title: Net reclassification index: measuring the incremental value of adding a new risk factor to an existing risk model publication-title: Ann Thorac Surg – volume: 464 start-page: 57 year: 2017 end-page: 63 ident: bib17 article-title: Fasting insulin, insulin resistance and risk of hypertension in the general population: a meta-analysis publication-title: Clin Chim Acta Int J Clin Chem – volume: 12 start-page: 187 year: 2017 end-page: 191 ident: bib56 article-title: Risk of incident ischemic stroke according to the metabolic health and obesity states in the Vascular-Metabolic CUN cohort publication-title: Int J Stroke – Offic J Int Stroke Soc – volume: 72 start-page: 1737 year: 1983 end-page: 1747 ident: bib27 article-title: Effect of fatty acids on glucose production and utilization in man publication-title: J Clin Investig – volume: 5 start-page: 150 year: 2009 end-page: 159 ident: bib38 article-title: Dyslipidemia in type 2 diabetes mellitus publication-title: Nat Clin Pract Endocrinol Metab – year: 2018 ident: bib25 article-title: Effect of chronic hyperglycemia on glucose metabolism in subjects with normal glucose tolerance publication-title: Diabetes – volume: 17 start-page: 401 year: 2008 end-page: 405 ident: bib9 article-title: Correlation between insulin resistance and intracranial atherosclerosis in patients with ischemic stroke without diabetes publication-title: J Stroke Cerebrovasc Dis – Offic J Natl Stroke Assoc – volume: 94 start-page: 267 year: 2016 end-page: 275 ident: bib7 article-title: Emerging evidence for beneficial macrophage functions in atherosclerosis and obesity-induced insulin resistance publication-title: J Mol Med (Berl, Ger) – volume: 49 start-page: 97 year: 2012 end-page: 103 ident: bib43 article-title: Insulin resistance is independently associated with peripheral and autonomic neuropathy in Korean type 2 diabetic patients publication-title: Acta Diabetol – volume: 1864 start-page: 987 year: 2018 end-page: 996 ident: bib46 article-title: Dysregulation of insulin-sensitive glucose transporters during insulin resistance-induced atrial fibrillation publication-title: Biochimica et biophysica acta Molec Basis Dis – volume: 262 start-page: 157 year: 2007 end-page: 172 ident: bib13 article-title: Diabetes mellitus as a prothrombotic condition publication-title: J Intern Med – volume: 14 start-page: 575 year: 2011 end-page: 585 ident: bib35 article-title: Insulin resistance, hyperglycemia, and atherosclerosis publication-title: Cell Metabol – volume: 7 start-page: 1355 year: 2012 end-page: 1364 ident: bib51 article-title: New metrics for assessing diagnostic potential of candidate biomarkers publication-title: Clin J Am Soc Nephrol – volume: 15 start-page: 83 year: 2002 end-page: 96 ident: bib31 article-title: Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults--study on optimal cut-off points of body mass index and waist circumference in Chinese adults publication-title: Biomed Environ Sci BES – volume: 311 start-page: 507 year: 2014 end-page: 520 ident: bib32 article-title: 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8) publication-title: JAMA – volume: 13 start-page: 415 year: 1992 end-page: 431 ident: bib24 article-title: Glucose toxicity publication-title: Endocr Rev – volume: 88 start-page: 1322 year: 2008 end-page: 1335 ident: bib42 article-title: Diabetes-related microvascular and macrovascular diseases in the physical therapy setting publication-title: Phys Ther – volume: 87 start-page: 497 year: 2015 end-page: 499 ident: bib44 article-title: Insulin resistance and hypertension: new insights publication-title: Kidney Int – volume: 73 start-page: 140 year: 2015 end-page: 154 ident: bib23 article-title: Glucose transporters: cellular links to hyperglycemia in insulin resistance and diabetes publication-title: Nutr Rev – volume: 237 start-page: E214 year: 1979 end-page: E223 ident: bib48 article-title: Glucose clamp technique: a method for quantifying insulin secretion and resistance publication-title: Am J Physiol – volume: 294 start-page: E15 year: 2008 end-page: E26 ident: bib47 article-title: Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage publication-title: Am J Physiol Endocrinol Metab – volume: 46 start-page: 189 year: 2016 end-page: 197 ident: bib55 article-title: The TyG index may predict the development of cardiovascular events publication-title: Eur J Clin Investig – volume: 293 start-page: E1358 year: 2007 end-page: E1364 ident: bib26 article-title: Glucose infusion causes insulin resistance in skeletal muscle of rats without changes in Akt and AS160 phosphorylation publication-title: Am J Physiol Endocrinol Metab – volume: 35 start-page: 95 year: 2015 end-page: 102 ident: bib16 article-title: Cerebral perfusion in insulin resistance and type 2 diabetes publication-title: J Cereb Blood Flow Metab – Offic J Int Soc Cerebr Blood Flow Metabol – volume: 107 start-page: 9 year: 2015 end-page: 19 ident: bib39 article-title: Loss of the insulin receptor in murine megakaryocytes/platelets causes thrombocytosis and alterations in IGF signalling publication-title: Cardiovasc Res – volume: 84 start-page: 374 year: 2015 end-page: 381 ident: bib4 article-title: Increasing stroke incidence and prevalence of risk factors in a low-income Chinese population publication-title: Neurology – volume: 38 start-page: 954 year: 2014 end-page: 958 ident: bib10 article-title: Early atherogenesis and visceral fat in obese adolescents publication-title: Int J Obes (2005) – volume: 20 start-page: 651 year: 2003 end-page: 655 ident: bib11 article-title: Associations between insulin resistance and thrombotic risk factors in high-risk South Asian subjects publication-title: Diabet Med – J Br Diab Assoc – volume: 20 start-page: 6270 year: 2014 end-page: 6275 ident: bib19 article-title: Dyslipidaemia related to insulin resistance and cardiovascular disease in South Asian and West African populations publication-title: Curr Pharm Des – volume: 12 start-page: 30 year: 2015 ident: bib36 article-title: High-fructose and high-fat diet-induced insulin resistance enhances atherosclerosis in Watanabe heritable hyperlipidemic rabbits publication-title: Nutr Metab – volume: 365 start-page: 1415 year: 2005 end-page: 1428 ident: bib22 article-title: The metabolic syndrome publication-title: Lancet – volume: 95 start-page: 3347 year: 2010 end-page: 3351 ident: bib29 article-title: The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp publication-title: J Clin Endocrinol Metab – volume: 54 start-page: 541 year: 1976 end-page: 553 ident: bib34 article-title: Experience from a multicentre stroke register: a preliminary report publication-title: Bull World Health Organ – volume: 11 start-page: e0153171 year: 2016 ident: bib37 article-title: Insulin resistance in relation to lipids and inflammation in type-2 diabetic patients and non-diabetic people publication-title: PLoS One – volume: 36 start-page: 1215 year: 2017 end-page: 1230 ident: bib2 article-title: Determinants of hyperhomocysteinemia in healthy and hypertensive subjects: a population-based study and systematic review publication-title: Clin Nutr (Edinb, Scotl) – volume: 27 start-page: 157 year: 2008 end-page: 172 ident: bib53 article-title: Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond publication-title: Stat Med – volume: 11 start-page: 156 year: 2009 end-page: 158 ident: bib21 article-title: The metabolic syndrome: insulin resistance publication-title: Curr Hypertens Rep – volume: 6 start-page: 299 year: 2008 end-page: 304 ident: bib28 article-title: The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects publication-title: Metab Syndrome Relat Disord – volume: 32 start-page: 1323 year: 2017 end-page: 1334 ident: bib5 article-title: Insulin resistance in ischemic stroke publication-title: Metab Brain Dis – volume: 30 start-page: 11 year: 2011 end-page: 21 ident: bib52 article-title: Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers publication-title: Stat Med – volume: 101 start-page: 644 year: 2016 end-page: 652 ident: bib18 article-title: Hepatic steatosis and insulin resistance, but not steatohepatitis, promote atherogenic dyslipidemia in NAFLD publication-title: J Clin Endocrinol Metab – volume: 115 start-page: 928 year: 2007 end-page: 935 ident: bib50 article-title: Use and misuse of the receiver operating characteristic curve in risk prediction publication-title: Circulation – volume: 42 start-page: 3651 year: 2011 end-page: 3654 ident: bib1 article-title: Stroke and stroke care in China: huge burden, significant workload, and a national priority publication-title: Stroke – volume: 13 start-page: 49 year: 2016 end-page: 55 ident: bib14 article-title: Correlations between endothelial function in the systemic and cerebral circulation and insulin resistance in type 2 diabetes mellitus publication-title: Diabetes Vasc Dis Res – volume: 28 start-page: 412 year: 1985 end-page: 419 ident: bib49 article-title: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man publication-title: Diabetologia – volume: 587 start-page: 2579 year: 2009 end-page: 2588 ident: bib15 article-title: Decreased microvascular vasomotion and myogenic response in rat skeletal muscle in association with acute insulin resistance publication-title: J Physiol – volume: 2016 start-page: 3634948 year: 2016 ident: bib40 article-title: Insulin resistance and endothelial dysfunction constitute a common therapeutic target in cardiometabolic disorders publication-title: Mediat Inflamm – volume: 381 start-page: 1987 year: 2013 end-page: 2015 ident: bib3 article-title: Rapid health transition in China, 1990–2010: findings from the global burden of disease study 2010 publication-title: Lancet – volume: 229 start-page: 423 year: 2013 end-page: 429 ident: bib8 article-title: Abdominal adiposity largely explains associations between insulin resistance, hyperglycemia and subclinical atherosclerosis: the NEO study publication-title: Atherosclerosis – volume: 6 start-page: 52 year: 2008 end-page: 60 ident: bib41 article-title: Endothelial dysfunction, impaired endogenous platelet inhibition and platelet activation in diabetes and atherosclerosis publication-title: Curr Vasc Pharmacol – volume: 29 start-page: 499 year: 2006 end-page: 504 ident: bib45 article-title: Sex-related differences in the relations of insulin resistance and obesity to left ventricular hypertrophy in Japanese hypertensive patients publication-title: Hypertens Res – Offic J Jpn Soc Hypertens – volume: 59 start-page: 809 year: 2002 end-page: 815 ident: bib6 article-title: Insulin resistance and risk for stroke publication-title: Neurology – volume: 93 start-page: e98 year: 2011 end-page: e100 ident: bib30 article-title: TyG index performs better than HOMA in a Brazilian population: a hyperglycemic clamp validated study publication-title: Diabetes Res Clin Pract – volume: 42 start-page: 3651 year: 2011 ident: 10.1016/j.numecd.2019.09.015_bib1 article-title: Stroke and stroke care in China: huge burden, significant workload, and a national priority publication-title: Stroke doi: 10.1161/STROKEAHA.111.635755 – volume: 20 start-page: 6270 year: 2014 ident: 10.1016/j.numecd.2019.09.015_bib19 article-title: Dyslipidaemia related to insulin resistance and cardiovascular disease in South Asian and West African populations publication-title: Curr Pharm Des doi: 10.2174/1381612820666140620114948 – volume: 17 start-page: 401 year: 2008 ident: 10.1016/j.numecd.2019.09.015_bib9 article-title: Correlation between insulin resistance and intracranial atherosclerosis in patients with ischemic stroke without diabetes publication-title: J Stroke Cerebrovasc Dis – Offic J Natl Stroke Assoc doi: 10.1016/j.jstrokecerebrovasdis.2008.06.004 – volume: 15 start-page: 83 year: 2002 ident: 10.1016/j.numecd.2019.09.015_bib31 article-title: Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults--study on optimal cut-off points of body mass index and waist circumference in Chinese adults publication-title: Biomed Environ Sci BES – volume: 36 start-page: 1215 year: 2017 ident: 10.1016/j.numecd.2019.09.015_bib2 article-title: Determinants of hyperhomocysteinemia in healthy and hypertensive subjects: a population-based study and systematic review publication-title: Clin Nutr (Edinb, Scotl) doi: 10.1016/j.clnu.2016.11.011 – volume: 381 start-page: 1987 year: 2013 ident: 10.1016/j.numecd.2019.09.015_bib3 article-title: Rapid health transition in China, 1990–2010: findings from the global burden of disease study 2010 publication-title: Lancet doi: 10.1016/S0140-6736(13)61097-1 – volume: 11 start-page: e0153171 year: 2016 ident: 10.1016/j.numecd.2019.09.015_bib37 article-title: Insulin resistance in relation to lipids and inflammation in type-2 diabetic patients and non-diabetic people publication-title: PLoS One doi: 10.1371/journal.pone.0153171 – volume: 294 start-page: E15 year: 2008 ident: 10.1016/j.numecd.2019.09.015_bib47 article-title: Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00645.2007 – volume: 24 start-page: 1476 year: 2001 ident: 10.1016/j.numecd.2019.09.015_bib12 article-title: Platelet dysfunction in type 2 diabetes publication-title: Diabetes Care doi: 10.2337/diacare.24.8.1476 – volume: 587 start-page: 2579 year: 2009 ident: 10.1016/j.numecd.2019.09.015_bib15 article-title: Decreased microvascular vasomotion and myogenic response in rat skeletal muscle in association with acute insulin resistance publication-title: J Physiol doi: 10.1113/jphysiol.2009.169011 – volume: 73 start-page: 140 year: 2015 ident: 10.1016/j.numecd.2019.09.015_bib23 article-title: Glucose transporters: cellular links to hyperglycemia in insulin resistance and diabetes publication-title: Nutr Rev doi: 10.1093/nutrit/nuu012 – volume: 28 start-page: 412 year: 1985 ident: 10.1016/j.numecd.2019.09.015_bib49 article-title: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man publication-title: Diabetologia doi: 10.1007/BF00280883 – volume: 30 start-page: 11 year: 2011 ident: 10.1016/j.numecd.2019.09.015_bib52 article-title: Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers publication-title: Stat Med doi: 10.1002/sim.4085 – volume: 88 start-page: 1322 year: 2008 ident: 10.1016/j.numecd.2019.09.015_bib42 article-title: Diabetes-related microvascular and macrovascular diseases in the physical therapy setting publication-title: Phys Ther doi: 10.2522/ptj.20080008 – volume: 27 start-page: 157 year: 2008 ident: 10.1016/j.numecd.2019.09.015_bib53 article-title: Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond publication-title: Stat Med doi: 10.1002/sim.2929 – volume: 311 start-page: 507 year: 2014 ident: 10.1016/j.numecd.2019.09.015_bib32 article-title: 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8) publication-title: JAMA doi: 10.1001/jama.2013.284427 – volume: 99 start-page: 388 year: 2015 ident: 10.1016/j.numecd.2019.09.015_bib54 article-title: Net reclassification index: measuring the incremental value of adding a new risk factor to an existing risk model publication-title: Ann Thorac Surg doi: 10.1016/j.athoracsur.2014.10.084 – volume: 12 start-page: 187 year: 2017 ident: 10.1016/j.numecd.2019.09.015_bib56 article-title: Risk of incident ischemic stroke according to the metabolic health and obesity states in the Vascular-Metabolic CUN cohort publication-title: Int J Stroke – Offic J Int Stroke Soc doi: 10.1177/1747493016672083 – volume: 94 start-page: 267 year: 2016 ident: 10.1016/j.numecd.2019.09.015_bib7 article-title: Emerging evidence for beneficial macrophage functions in atherosclerosis and obesity-induced insulin resistance publication-title: J Mol Med (Berl, Ger) doi: 10.1007/s00109-016-1385-4 – volume: 293 start-page: E1358 year: 2007 ident: 10.1016/j.numecd.2019.09.015_bib26 article-title: Glucose infusion causes insulin resistance in skeletal muscle of rats without changes in Akt and AS160 phosphorylation publication-title: Am J Physiol Endocrinol Metab doi: 10.1152/ajpendo.00133.2007 – year: 2018 ident: 10.1016/j.numecd.2019.09.015_bib25 article-title: Effect of chronic hyperglycemia on glucose metabolism in subjects with normal glucose tolerance publication-title: Diabetes doi: 10.2337/db18-0439 – volume: 262 start-page: 157 year: 2007 ident: 10.1016/j.numecd.2019.09.015_bib13 article-title: Diabetes mellitus as a prothrombotic condition publication-title: J Intern Med doi: 10.1111/j.1365-2796.2007.01824.x – volume: 32 start-page: 1323 year: 2017 ident: 10.1016/j.numecd.2019.09.015_bib5 article-title: Insulin resistance in ischemic stroke publication-title: Metab Brain Dis doi: 10.1007/s11011-017-0050-0 – volume: 13 start-page: 49 year: 2016 ident: 10.1016/j.numecd.2019.09.015_bib14 article-title: Correlations between endothelial function in the systemic and cerebral circulation and insulin resistance in type 2 diabetes mellitus publication-title: Diabetes Vasc Dis Res doi: 10.1177/1479164115604120 – volume: 87 start-page: 497 year: 2015 ident: 10.1016/j.numecd.2019.09.015_bib44 article-title: Insulin resistance and hypertension: new insights publication-title: Kidney Int doi: 10.1038/ki.2014.392 – volume: 237 start-page: E214 year: 1979 ident: 10.1016/j.numecd.2019.09.015_bib48 article-title: Glucose clamp technique: a method for quantifying insulin secretion and resistance publication-title: Am J Physiol – volume: 95 start-page: 3347 year: 2010 ident: 10.1016/j.numecd.2019.09.015_bib29 article-title: The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp publication-title: J Clin Endocrinol Metab doi: 10.1210/jc.2010-0288 – volume: 107 start-page: 9 year: 2015 ident: 10.1016/j.numecd.2019.09.015_bib39 article-title: Loss of the insulin receptor in murine megakaryocytes/platelets causes thrombocytosis and alterations in IGF signalling publication-title: Cardiovasc Res doi: 10.1093/cvr/cvv132 – volume: 13 start-page: 415 year: 1992 ident: 10.1016/j.numecd.2019.09.015_bib24 article-title: Glucose toxicity publication-title: Endocr Rev – volume: 93 start-page: e98 year: 2011 ident: 10.1016/j.numecd.2019.09.015_bib30 article-title: TyG index performs better than HOMA in a Brazilian population: a hyperglycemic clamp validated study publication-title: Diabetes Res Clin Pract doi: 10.1016/j.diabres.2011.05.030 – volume: 365 start-page: 1415 year: 2005 ident: 10.1016/j.numecd.2019.09.015_bib22 article-title: The metabolic syndrome publication-title: Lancet doi: 10.1016/S0140-6736(05)66378-7 – volume: 35 start-page: 95 year: 2015 ident: 10.1016/j.numecd.2019.09.015_bib16 article-title: Cerebral perfusion in insulin resistance and type 2 diabetes publication-title: J Cereb Blood Flow Metab – Offic J Int Soc Cerebr Blood Flow Metabol doi: 10.1038/jcbfm.2014.173 – volume: 32 start-page: 2104 year: 2012 ident: 10.1016/j.numecd.2019.09.015_bib20 article-title: Selective hepatic insulin resistance, VLDL overproduction, and hypertriglyceridemia publication-title: Arterioscler Thromb Vasc Biol doi: 10.1161/ATVBAHA.111.241463 – volume: 464 start-page: 57 year: 2017 ident: 10.1016/j.numecd.2019.09.015_bib17 article-title: Fasting insulin, insulin resistance and risk of hypertension in the general population: a meta-analysis publication-title: Clin Chim Acta Int J Clin Chem doi: 10.1016/j.cca.2016.11.009 – volume: 29 start-page: 499 year: 2006 ident: 10.1016/j.numecd.2019.09.015_bib45 article-title: Sex-related differences in the relations of insulin resistance and obesity to left ventricular hypertrophy in Japanese hypertensive patients publication-title: Hypertens Res – Offic J Jpn Soc Hypertens doi: 10.1291/hypres.29.499 – volume: 7 start-page: 1355 year: 2012 ident: 10.1016/j.numecd.2019.09.015_bib51 article-title: New metrics for assessing diagnostic potential of candidate biomarkers publication-title: Clin J Am Soc Nephrol doi: 10.2215/CJN.09590911 – volume: 59 start-page: 809 year: 2002 ident: 10.1016/j.numecd.2019.09.015_bib6 article-title: Insulin resistance and risk for stroke publication-title: Neurology doi: 10.1212/WNL.59.6.809 – volume: 229 start-page: 423 year: 2013 ident: 10.1016/j.numecd.2019.09.015_bib8 article-title: Abdominal adiposity largely explains associations between insulin resistance, hyperglycemia and subclinical atherosclerosis: the NEO study publication-title: Atherosclerosis doi: 10.1016/j.atherosclerosis.2013.05.021 – volume: 20 start-page: 651 year: 2003 ident: 10.1016/j.numecd.2019.09.015_bib11 article-title: Associations between insulin resistance and thrombotic risk factors in high-risk South Asian subjects publication-title: Diabet Med – J Br Diab Assoc doi: 10.1046/j.1464-5491.2003.00958.x – volume: 11 start-page: 156 year: 2009 ident: 10.1016/j.numecd.2019.09.015_bib21 article-title: The metabolic syndrome: insulin resistance publication-title: Curr Hypertens Rep doi: 10.1007/s11906-009-0027-4 – volume: 20 start-page: 1183 year: 1997 ident: 10.1016/j.numecd.2019.09.015_bib33 article-title: Report of the expert committee on the diagnosis and classification of diabetes mellitus publication-title: Diabetes Care doi: 10.2337/diacare.20.7.1183 – volume: 5 start-page: 150 year: 2009 ident: 10.1016/j.numecd.2019.09.015_bib38 article-title: Dyslipidemia in type 2 diabetes mellitus publication-title: Nat Clin Pract Endocrinol Metab – volume: 115 start-page: 928 year: 2007 ident: 10.1016/j.numecd.2019.09.015_bib50 article-title: Use and misuse of the receiver operating characteristic curve in risk prediction publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.106.672402 – volume: 6 start-page: 52 year: 2008 ident: 10.1016/j.numecd.2019.09.015_bib41 article-title: Endothelial dysfunction, impaired endogenous platelet inhibition and platelet activation in diabetes and atherosclerosis publication-title: Curr Vasc Pharmacol doi: 10.2174/157016108783331295 – volume: 6 start-page: 299 year: 2008 ident: 10.1016/j.numecd.2019.09.015_bib28 article-title: The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects publication-title: Metab Syndrome Relat Disord doi: 10.1089/met.2008.0034 – volume: 2016 start-page: 3634948 year: 2016 ident: 10.1016/j.numecd.2019.09.015_bib40 article-title: Insulin resistance and endothelial dysfunction constitute a common therapeutic target in cardiometabolic disorders publication-title: Mediat Inflamm doi: 10.1155/2016/3634948 – volume: 12 start-page: 30 year: 2015 ident: 10.1016/j.numecd.2019.09.015_bib36 article-title: High-fructose and high-fat diet-induced insulin resistance enhances atherosclerosis in Watanabe heritable hyperlipidemic rabbits publication-title: Nutr Metab doi: 10.1186/s12986-015-0024-3 – volume: 49 start-page: 97 year: 2012 ident: 10.1016/j.numecd.2019.09.015_bib43 article-title: Insulin resistance is independently associated with peripheral and autonomic neuropathy in Korean type 2 diabetic patients publication-title: Acta Diabetol doi: 10.1007/s00592-010-0176-6 – volume: 72 start-page: 1737 year: 1983 ident: 10.1016/j.numecd.2019.09.015_bib27 article-title: Effect of fatty acids on glucose production and utilization in man publication-title: J Clin Investig doi: 10.1172/JCI111133 – volume: 38 start-page: 954 year: 2014 ident: 10.1016/j.numecd.2019.09.015_bib10 article-title: Early atherogenesis and visceral fat in obese adolescents publication-title: Int J Obes (2005) doi: 10.1038/ijo.2014.11 – volume: 46 start-page: 189 year: 2016 ident: 10.1016/j.numecd.2019.09.015_bib55 article-title: The TyG index may predict the development of cardiovascular events publication-title: Eur J Clin Investig doi: 10.1111/eci.12583 – volume: 14 start-page: 575 year: 2011 ident: 10.1016/j.numecd.2019.09.015_bib35 article-title: Insulin resistance, hyperglycemia, and atherosclerosis publication-title: Cell Metabol doi: 10.1016/j.cmet.2011.07.015 – volume: 84 start-page: 374 year: 2015 ident: 10.1016/j.numecd.2019.09.015_bib4 article-title: Increasing stroke incidence and prevalence of risk factors in a low-income Chinese population publication-title: Neurology doi: 10.1212/WNL.0000000000001175 – volume: 54 start-page: 541 year: 1976 ident: 10.1016/j.numecd.2019.09.015_bib34 article-title: Experience from a multicentre stroke register: a preliminary report publication-title: Bull World Health Organ – volume: 101 start-page: 644 year: 2016 ident: 10.1016/j.numecd.2019.09.015_bib18 article-title: Hepatic steatosis and insulin resistance, but not steatohepatitis, promote atherogenic dyslipidemia in NAFLD publication-title: J Clin Endocrinol Metab doi: 10.1210/jc.2015-3111 – volume: 1864 start-page: 987 year: 2018 ident: 10.1016/j.numecd.2019.09.015_bib46 article-title: Dysregulation of insulin-sensitive glucose transporters during insulin resistance-induced atrial fibrillation publication-title: Biochimica et biophysica acta Molec Basis Dis doi: 10.1016/j.bbadis.2017.12.038 |
| SSID | ssj0037034 |
| Score | 2.5688372 |
| Snippet | Recent studies have recognized triglyceride-glucose index (TyG) as a practical surrogate of insulin resistance. Previous studies have demonstrated that insulin... |
| SourceID | proquest pubmed crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 245 |
| SubjectTerms | blood glucose China cross-sectional studies Dyslipidemia fasting females Hyperglycemia Insulin resistance Ischemic stroke risk assessment risk factors rural areas stroke triacylglycerols Triglyceride-glucose index |
| Title | Value of triglyceride-glucose index for the estimation of ischemic stroke risk: Insights from a general population |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0939475319303540 https://dx.doi.org/10.1016/j.numecd.2019.09.015 https://www.ncbi.nlm.nih.gov/pubmed/31744716 https://www.proquest.com/docview/2316426517 https://www.proquest.com/docview/2352428381 |
| Volume | 30 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dS-QwEA-iIPci6n2tX-TA194mbZMmvsmirJ-Idx6-hSSbyt4t3WW3--CLf7sz_YKDOxWhUFoy0CaTyW-Smd8QchjQr4i1ihwbiSjVlkVOxRaMobTWxlyyHPc7rq7l8C49vxf3K2TQ5sJgWGVj-2ubXlnr5k2_6c3-bDzu_wBfXKcZ6hCYYQAemMEOz6DT35-6MI8ENLqikNJ44gmt2_S5KsargPnvkS-U64rtFIvj_nt5-h_8rJah002y0eBHelx_4hZZCcU2Wb9qTsg_kvkvO1kGOs1pCX735NGDho1CG5lOK3JECkCVAvCjyLBRpy6iwBgcXQyVp4tyPv0TKEadH9GzYoH--4JiIgq19KHmqaazrvLXJ3J3evJzMIyaugqRB3hURkEyCx2TJd5lVirhhPXcgZtsM6ascBY5xuKgk1HmU5dp6RlyeMJo5kmaAv76TFaLaRG-EqpUkE7HPE9GPHUp1znYCM2kwmZeuR5J2u40viEdx9oXE9NGl_029SAYHATD4OKiR6JOalaTbrzSXrQjZdqEUjCBBlaFV-SyTu4vpXuD5LdWIQzMRzxksUWYLhcG8DK4dFLw7KU2IkaiO8V75EutTd1_Ap4DLeZy593ftks-xLgpgFVr2B5ZLefLsA_IqXQH1dQ4IGvHg9vLG7yfXQyvnwFCMRjq |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3fa9swEBZdCtteSvc7-6nBXk0kW5KlvpWykqxNXtaOvglJkUu24ITEedh_vzvbCgy2dgz8ZHRgS-dP31l33xHyKWJckRudeTaXmTCOZV7nDsBQOedyrliF_zumMzW-Fl9u5M0BOUu1MJhW2WN_h-ktWvd3Rv1sjtaLxegrxOJGlOhDAMNAPB6QQ1SnEgNyeDq5GM8SIBfg1K2KlMFDTzBIFXRtmlcNEBBQMpSbVvAU--P-eYf6GwNtd6LzY3LUU0h62j3lE3IQ66fk4bQ_JH9GNt_cchfpqqINhN7LnwGcbB5Tcjpt9REpcFUK3I-iyEZXvYgGC4h1MVuebpvN6kekmHh-Qif1FkP4LcVaFOrobSdVTdf75l_PyfX556uzcda3VsgCMKQmi4o5mJiyCL50SksvXeAeImVXMu2kdygzlkdTzMsgfGlUYCjjCQtaFUIABXtBBvWqjq8I1Toqb3JeFXMuvOCmApgwTGkcFrQfkiJNpw297ji2v1jalGD23XaLYHERLIOLyyHJ9lbrTnfjnvEyrZRNNaWAghY2hnvsyr3db373D5Yfk0NY-CTxnMXVcbXbWqDMENUpycu7xsgcte40H5KXnTft3xMonQDOoF7_97N9II_GV9NLezmZXbwhj3P8R4BNbNhbMmg2u_gOiFTj3_cfyi8FMxoG |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Value+of+triglyceride-glucose+index+for+the+estimation+of+ischemic+stroke+risk%3A+Insights+from+a+general+population&rft.jtitle=Nutrition%2C+metabolism%2C+and+cardiovascular+diseases&rft.au=Shi%2C+Wenrui&rft.au=Xing%2C+Liying&rft.au=Jing%2C+Li&rft.au=Tian%2C+Yuanmeng&rft.date=2020-02-10&rft.eissn=1590-3729&rft.volume=30&rft.issue=2&rft.spage=245&rft_id=info:doi/10.1016%2Fj.numecd.2019.09.015&rft_id=info%3Apmid%2F31744716&rft.externalDocID=31744716 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0939-4753&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0939-4753&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0939-4753&client=summon |