To analyze the influencing factors of restenosis after coronary stenting.

The clinical data of 194 patients with coronary atherosclerotic heart disease treated in our hospital from February 2020 to February 2023 were retrospectively analyzed. According to the coronary digital subtraction angiography (DSA), they were divided into restenosis group (23 cases) and non-restenosis group (171 cases) after coronary stenting. The clinical data and serological indexes of the two groups were compared, and the influencing factors were analyzed by multivariate Logistic regression, and the receiver operating characteristic (ROC) curve was drawn to analyze the predictive value.

Multivariate Logistic regression analysis showed that the number of diseased branches, diabetes history, number of stents ≥3, stent length≥30 mm, series stents, and high serum soluble triggering receptor expressed on myeloid cell-1 (sTREM-1) level were the independent influencing factors of restenosis after coronary stenting (OR=1.672, 1.624, 1.598, 1.384, 1.443, 1.579, P<0.05). The ROC curve showed that when logit (P)>12.746, the area under curve (AUC) value was 0.796, 95%CI was 0.752~0.835, χ² was 9.485, the diagnostic sensitivity was 80.00%, and the specificity was 66.67%.

The Logistic influencing factor model has high predictive value for restenosis after coronary stenting, so that the clinic can take corresponding intervention measures for patients with coronary atherosclerotic heart disease after coronary stenting as soon as possible to reduce the risk of restenosis after coronary stenting.