Impact of haemoglobinA1c on platelet reactivity and cardiovascular outcomes in patients undergoing drug-eluting stent implantation

This study investigates the impact of hemoglobin A1c on platelet reactivity and cardiovascular outcomes in patients undergoing drug-eluting stent implantation. HbA1c levels were categorized into 3 groups: < 6.5%, 6.5-8.5%, and > 8.5%. ROC (resistance to clopidogrel) and ROA (resistance to aspirin) were calculated. The primary endpoint was a composite of MACE, including all-cause mortality, nonfatal MI, and ischemia-driven revascularization. The secondary endpoints comprised individual MACE components. The incidence of ROC was 9.3% (151 of 1621), whereas that of ROA was 16.5% (268 of 1621). The ROC for each of the 3 groups significantly increased with increasing HbA1c levels [4.3% vs. 7.1% vs. 10.1%, p = 0.006]; however, the ROA did not [16.4% vs. 17.7% vs. 14.3%, P = 0.694]. HbA1c > 8.5 was significantly associated with ROC (3.356 [1.231, 9.234], p = 0.009). Compared with the HbA1c < 6.5 subgroup, the HbA1c˃8.5 subgroup was significantly associated with MACE (3.142 [2.346, 4.206], < 0.001), nonfatal MI (2.297 [1.275, 4.137], P = 0.006) and ischemia-driven revascularization (3.845 [2.082, 7.101], p < 0.001), but not all-cause mortality (2.371 [0.551, 10.190], 0.246) at the 36-month follow-up. HbA1c levels were positively correlated with ROC, but the adverse cardiovascular events were driven by elevated HbA1c, constituting an argument to intensify glycemic control in subjects with diabetes after intracoronary stent placement.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-11-29
DOI
https://doi.org/10.1038/s41598-024-81537-1
Primary Topic
Antiplatelet Therapy and Cardiovascular Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of haemoglobinA1c on platelet reactivity and cardiovascular outcomes in patients undergoing drug-eluting stent implantation

Yi‐Lin Wu, Xuan Jiang, Hongyu Ji, Min Liu et al.
Scientific Reports
Antiplatelet Therapy and Cardiovascular Diseases
article

Impact of haemoglobinA1c on platelet reactivity and cardiovascular outcomes in patients undergoing drug-eluting stent implantation

Yi‐Lin Wu, Xuan Jiang, Hongyu Ji, Min Liu, Weizhen Li, Lijuan Jiang
article en

Abstract

This study investigates the impact of hemoglobin A1c on platelet reactivity and cardiovascular outcomes in patients undergoing drug-eluting stent implantation. HbA1c levels were categorized into 3 groups: < 6.5%, 6.5-8.5%, and > 8.5%. ROC (resistance to clopidogrel) and ROA (resistance to aspirin) were calculated. The primary endpoint was a composite of MACE, including all-cause mortality, nonfatal MI, and ischemia-driven revascularization. The secondary endpoints comprised individual MACE components. The incidence of ROC was 9.3% (151 of 1621), whereas that of ROA was 16.5% (268 of 1621). The ROC for each of the 3 groups significantly increased with increasing HbA1c levels [4.3% vs. 7.1% vs. 10.1%, p = 0.006]; however, the ROA did not [16.4% vs. 17.7% vs. 14.3%, P = 0.694]. HbA1c > 8.5 was significantly associated with ROC (3.356 [1.231, 9.234], p = 0.009). Compared with the HbA1c < 6.5 subgroup, the HbA1c˃8.5 subgroup was significantly associated with MACE (3.142 [2.346, 4.206], < 0.001), nonfatal MI (2.297 [1.275, 4.137], P = 0.006) and ischemia-driven revascularization (3.845 [2.082, 7.101], p < 0.001), but not all-cause mortality (2.371 [0.551, 10.190], 0.246) at the 36-month follow-up. HbA1c levels were positively correlated with ROC, but the adverse cardiovascular events were driven by elevated HbA1c, constituting an argument to intensify glycemic control in subjects with diabetes after intracoronary stent placement.

Scientific ReportsVol. 14(1)
Shanghai Jiao Tong University (CN), Renji Hospital (CN), Jiading District Central Hospital (CN), Shanghai First People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 60%
Antiplatelet Therapy and Cardiovascular Diseases
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.