Triglyceride‐glucose index trajectories predict adverse cardiovascular outcomes in elderly heart failure patients with Diabetes: A retrospective cohort study

The TyG trajectory is strongly associated with the risk of MACEs during follow-up in elderly patients with T2DM, suggesting that TyG trajectories may further optimize risk stratification model of cardiovascular events.

Authors

Institutions

Publication Details

Journal
Aging Medicine
Published
2024-12-01
DOI
https://doi.org/10.1002/agm2.12374
Citations
8
Primary Topic
Diabetes Treatment and Management
Type
article
Field-Weighted Citation Impact
2.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Triglyceride‐glucose index trajectories predict adverse cardiovascular outcomes in elderly heart failure patients with Diabetes: A retrospective cohort study

Zhirong Yang, Zeyu Wang, Shixing Feng, Jian Wang et al.
8 citations
Aging Medicine
Diabetes Treatment and Management
2.86
article

Triglyceride‐glucose index trajectories predict adverse cardiovascular outcomes in elderly heart failure patients with Diabetes: A retrospective cohort study

Zhirong Yang, Zeyu Wang, Shixing Feng, Jian Wang, Hong Liu, Ding Jia, Luo Zhi
article en
8 citations

Abstract

The TyG trajectory is strongly associated with the risk of MACEs during follow-up in elderly patients with T2DM, suggesting that TyG trajectories may further optimize risk stratification model of cardiovascular events.

Aging MedicineVol. 7(6)
Beijing Geriatric Hospital (CN)
Good health and well-being
Openalex Percentile: Top 8%
Diabetes Treatment and Management
2.86
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.