Coronary Stent Failure in Patients With Diabetes: A Nationwide Observational Study From SWEDEHEART

We observed a significantly higher risk of second-generation DES stent failure in individuals with type 1 diabetes followed by those with type 2 diabetes, compared with individuals without diabetes. This elevated risk was attributed to both in-stent restenosis and stent thrombosis.

Authors

Institutions

Publication Details

Journal
Diabetes Care
Published
2025-11-27
DOI
https://doi.org/10.2337/dc25-1624
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coronary Stent Failure in Patients With Diabetes: A Nationwide Observational Study From SWEDEHEART

Thomas Nyström, Robin Hofmann, Irene Santos‐Pardo, Mikael Andersson
Diabetes Care
Coronary Interventions and Diagnostics
article

Coronary Stent Failure in Patients With Diabetes: A Nationwide Observational Study From SWEDEHEART

Thomas Nyström, Robin Hofmann, Irene Santos‐Pardo, Mikael Andersson
article en

Abstract

We observed a significantly higher risk of second-generation DES stent failure in individuals with type 1 diabetes followed by those with type 2 diabetes, compared with individuals without diabetes. This elevated risk was attributed to both in-stent restenosis and stent thrombosis.

Diabetes CareVol. 49(2)
Karolinska Institutet (SE), Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (ES), Hospital Universitari Germans Trias i Pujol (ES)
Openalex Percentile: Top 44%
Coronary Interventions and Diagnostics
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.