Association of the Triglyceride–Glucose Index During the First Trimester of Pregnancy with Adverse Perinatal Outcomes

<b>Background/Objectives</b>: Insulin resistance during pregnancy is a key factor underlying gestational diabetes mellitus (GDM) and other adverse perinatal outcomes (APOs). While traditional markers, such as HOMA-IR, are used to evaluate insulin resistance, they may be inaccessible in resource-limited settings. The triglyceride-glucose (TyG) index has emerged as a practical alternative. This study aimed to assess whether or not a TyG index > 8.6 during the first trimester of pregnancy is associated with an increased risk of APOs, including GDM, preeclampsia, and other maternal and neonatal complications. <b>Methods</b>: A prospective cohort study was conducted involving 333 pregnant women in Mexico City, divided into two groups: Group 1 (TyG index > 8.6, <i>n</i> = 153) and Group 2 (TyG index ≤ 8.6, <i>n</i> = 180). Primary outcomes included gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy, preeclampsia, preterm birth, cesarean section, and large-for-gestational-age (LGA) and small-for-gestational-age (SGA) neonates. Logistic regression models were used to calculate the adjusted relative risk (aRR) and 95% confidence intervals (CIs), adjusting for maternal age, pregestational weight, and body mass index (BMI). <b>Results</b>: Women with a TyG index > 8.6 had a significantly higher pregestational weight and BMI than those with a TyG index ≤ 8.6. Group 1 demonstrated a higher risk of GDM (RR 2.05; 95% CI: 1.23-3.41) and preeclampsia (RR 2.15; 95% CI: 1.10-4.21). After adjusting for maternal age, pregestational weight, and BMI, these associations remained significant: GDM (aRR 1.87; 95% CI: 1.0-2.5) and preeclampsia (aRR 2.18; 95% CI: 1.1-5.0). No significant associations were found between an elevated TyG index and other APOs, including LGA, SGA, preterm birth, or cesarean delivery. <b>Conclusions</b>: A first-trimester TyG index > 8.6 is significantly associated with an increased risk of GDM and preeclampsia, highlighting its potential as a predictive marker for adverse perinatal outcomes. These findings underscore the utility of the TyG index as a practical, cost-effective tool for early risk stratification, particularly in resource-limited settings. Further multi-center research is needed to validate these results and refine population-specific thresholds.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2025-04-29
DOI
https://doi.org/10.3390/diagnostics15091129
Citations
9
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
18.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of the Triglyceride–Glucose Index During the First Trimester of Pregnancy with Adverse Perinatal Outcomes

José Romo‐Yáñez, Blanca Vianey Suárez-Rico, Enrique Reyes-Muñoz, Guillermo Gurza et al.
9 citations
Diagnostics
Gestational Diabetes Research and Management
18.51
article

Association of the Triglyceride–Glucose Index During the First Trimester of Pregnancy with Adverse Perinatal Outcomes

José Romo‐Yáñez, Blanca Vianey Suárez-Rico, Enrique Reyes-Muñoz, Guillermo Gurza, Guadalupe Estrada‐Gutiérrez, Juan Mario Solís-Paredes, Otilia Perichart‐Perera, Lidia Arce-Sánchez, Johnatan Torres‐Torres, Ileana Lizano-Jubert, Isabel González-Ludlow, Ameyalli Mariana Rodríguez-Cano, Nayeli Martínez-Cruz, Maricruz Tolentino‐Dolores, Araceli Montoya-Estrada
article en
9 citations

Abstract

<b>Background/Objectives</b>: Insulin resistance during pregnancy is a key factor underlying gestational diabetes mellitus (GDM) and other adverse perinatal outcomes (APOs). While traditional markers, such as HOMA-IR, are used to evaluate insulin resistance, they may be inaccessible in resource-limited settings. The triglyceride-glucose (TyG) index has emerged as a practical alternative. This study aimed to assess whether or not a TyG index > 8.6 during the first trimester of pregnancy is associated with an increased risk of APOs, including GDM, preeclampsia, and other maternal and neonatal complications. <b>Methods</b>: A prospective cohort study was conducted involving 333 pregnant women in Mexico City, divided into two groups: Group 1 (TyG index > 8.6, <i>n</i> = 153) and Group 2 (TyG index ≤ 8.6, <i>n</i> = 180). Primary outcomes included gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy, preeclampsia, preterm birth, cesarean section, and large-for-gestational-age (LGA) and small-for-gestational-age (SGA) neonates. Logistic regression models were used to calculate the adjusted relative risk (aRR) and 95% confidence intervals (CIs), adjusting for maternal age, pregestational weight, and body mass index (BMI). <b>Results</b>: Women with a TyG index > 8.6 had a significantly higher pregestational weight and BMI than those with a TyG index ≤ 8.6. Group 1 demonstrated a higher risk of GDM (RR 2.05; 95% CI: 1.23-3.41) and preeclampsia (RR 2.15; 95% CI: 1.10-4.21). After adjusting for maternal age, pregestational weight, and BMI, these associations remained significant: GDM (aRR 1.87; 95% CI: 1.0-2.5) and preeclampsia (aRR 2.18; 95% CI: 1.1-5.0). No significant associations were found between an elevated TyG index and other APOs, including LGA, SGA, preterm birth, or cesarean delivery. <b>Conclusions</b>: A first-trimester TyG index > 8.6 is significantly associated with an increased risk of GDM and preeclampsia, highlighting its potential as a predictive marker for adverse perinatal outcomes. These findings underscore the utility of the TyG index as a practical, cost-effective tool for early risk stratification, particularly in resource-limited settings. Further multi-center research is needed to validate these results and refine population-specific thresholds.

DiagnosticsVol. 15(9)
Instituto Nacional de Perinatología (MX), Universidad Anáhuac (MX)
Fundación Mexicana para la Salud, Consejo Nacional de Ciencia y Tecnología, Instituto Nacional de Perinatología
Openalex Percentile: Top 0%
Gestational Diabetes Research and Management
18.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.