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Record W4311426544 · doi:10.1016/s2666-7568(22)00247-1

Association of the triglyceride glucose index as a measure of insulin resistance with mortality and cardiovascular disease in populations from five continents (PURE study): a prospective cohort study

2022· article· en· W4311426544 on OpenAlexafffund
Patricio López‐Jaramillo, Diego Gómez-Arbeláez, Daniel Martínez-Bello, Marc Evans M. Abat, Khalid F. AlHabib, Álvaro Avezum, О. Л. Барбараш, Jephat Chifamba, Maria Luz Díaz, Sadi Güleç, Noor Hassim Ismail, Romaina Iqbal, Roya Kelishadi, Rasha Khatib, Fernando Laņas, Naomi Levitt, Yang Li, Viswanathan Mohan, Prem Mony, Paul Poirier, Annika Rosengren, Biju Soman, Chuangshi Wang, Yang Wang, Karen Yeates, Rita Yusuf, Afzalhussein Yusufali, Katarzyna Zatońska, Sumathy Rangarajan, Salim Yusuf

Bibliographic record

VenueThe Lancet Healthy Longevity · 2022
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsMcMaster UniversityQueen's UniversityHamilton Health SciencesUniversité LavalPopulation Health Research InstituteInstitut Universitaire de Cardiologie et de Pneumologie de Québec
FundersFuwai Hospital, Chinese Academy of Medical SciencesPhilippine Council for Health Research and DevelopmentServierKementerian Sains, Teknologi dan InovasiIndian Council of Medical ResearchSouth African Medical Research CouncilCanadian Institutes of Health ResearchUnited Nations Relief and Works Agency for Palestine RefugeesRiksförbundet HjärtLungDairy Farmers of CanadaPublic Health Agency of CanadaNovartis Pharmaceuticals CorporationMinistry of Higher Education, MalaysiaAstraZeneca CanadaSanofiBoehringer IngelheimVetenskapsrådetHeart and Stroke Foundation of CanadaOntario Ministry of Health and Long-Term CareHamilton Health SciencesMinisterstwo Edukacji i NaukiSaudi Heart AssociationGlaxoSmithKlineDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)AstraZeneca
KeywordsInsulin resistanceTriglycerideMedicineProspective cohort studyInternal medicineDiseaseCohort studyIndex (typography)CohortInsulinDemographyCholesterol

Abstract

fetched live from OpenAlex

Background The triglyceride glucose (TyG) index is an easily accessible surrogate marker of insulin resistance, an important pathway in the development of type 2 diabetes and cardiovascular diseases. However, the association of the TyG index with cardiovascular diseases and mortality has mainly been investigated in Asia, with few data available from other regions of the world. We assessed the association of insulin resistance (as determined by the TyG index) with mortality and cardiovascular diseases in individuals from five continents at different levels of economic development, living in urban or rural areas. We also examined whether the associations differed according to the country's economical development. Methods We used the TyG index as a surrogate measure for insulin resistance. Fasting triglycerides and fasting plasma glucose were measured at the baseline visit in 141 243 individuals aged 35–70 years from 22 countries in the Prospective Urban Rural Epidemiology (PURE) study. The TyG index was calculated as Ln (fasting triglycerides [mg/dL] x fasting plasma glucose [mg/dL]/2). We calculated hazard ratios (HRs) using a multivariable Cox frailty model with random effects to test the associations between the TyG index and risk of cardiovascular diseases and mortality. The primary outcome of this analysis was the composite of mortality or major cardiovascular events (defined as death from cardiovascular causes, and non-fatal myocardial infarction, or stroke). Secondary outcomes were non-cardiovascular mortality, cardiovascular mortality, all myocardial infarctions, stroke, and incident diabetes. We also did subgroup analyses to examine the magnitude of associations between insulin resistance (ie, the TyG index) and outcome events according to the income level of the countries. Findings During a median follow-up of 13·2 years (IQR 11·9–14·6), we recorded 6345 composite cardiovascular diseases events, 2030 cardiovascular deaths, 3038 cases of myocardial infarction, 3291 cases of stroke, and 5191 incident cases of type 2 diabetes. After adjusting for all other variables, the risk of developing cardiovascular diseases increased across tertiles of the baseline TyG index. Compared with the lowest tertile of the TyG index, the highest tertile (tertile 3) was associated with a greater incidence of the composite outcome (HR 1·21; 95% CI 1·13–1·30), myocardial infarction (1·24; 1·12–1·38), stroke (1·16; 1·05–1·28), and incident type 2 diabetes (1·99; 1·82–2·16). No significant association of the TyG index was seen with non-cardiovascular mortality. In low-income countries (LICs) and middle-income countries (MICs), the highest tertile of the TyG index was associated with increased hazards for the composite outcome (LICs: HR 1·31; 95% CI 1·12–1·54; MICs: 1·20; 1·11–1·31; p interaction =0·01), cardiovascular mortality (LICs: 1·44; 1·15–1·80; p interaction =0·01), myocardial infarction (LICs: 1·29; 1·06–1·56; MICs: 1·26; 1·10–1·45; p interaction =0·08), stroke (LICs: 1·35; 1·02–1·78; MICs: 1·17; 1·05–1·30; p interaction =0·19), and incident diabetes (LICs: 1·64; 1·38–1·94; MICs: 2·68; 2·40–2·99; p interaction <0·0001). In contrast, in high-income countries, higher TyG index tertiles were only associated with an increased hazard of incident diabetes (2·95; 2·25–3·87; p interaction <0·0001), but not of cardiovascular diseases or mortality. Interpretation The TyG index is significantly associated with future cardiovascular mortality, myocardial infarction, stroke, and type 2 diabetes, suggesting that insulin resistance plays a promoting role in the pathogenesis of cardiovascular and metabolic diseases. Potentially, the association between the TyG index and the higher risk of cardiovascular diseases and type 2 diabetes in LICs and MICs might be explained by an increased vulnerability of these populations to the presence of insulin resistance. Funding Full funding sources are listed at the end of the paper (see Acknowledgments).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.286
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations345
Published2022
Admission routes2
Has abstractyes

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