Gensini score values for predicting periprocedural myocardial infarction: An observational study analysis

The Gensini score (GS) is a convenient, powerful tool for assessing the severity and complexity of coronary artery diseases. Our research investigated the relationship between the GS and periprocedural myocardial infarction (PMI). We recruited 4949 patients (3366 men, 1583 women; mean age 66.45 +/- 10.09 years) with a single coronary artery revascularization. Based on the tertile of the GS 20 and 36, the population was divided into 3 groups: Low Group (0 < GS <= 20, N = 1809); Intermediate Group (20 < GS <= 36, N = 1579); High Group (GS > 36, N = 1561). PMI3 represented the endpoint for cTnI > 3-fold upper reference limit, while PMI5 represented the endpoint for cTnI > 5-fold upper reference limit. The incidence of PMI of High Group was statistically higher than that of Intermediate Group (P < .05), while that of Intermediate Group was statistically higher than Low Group (P < .05). With the adjustment of some general variables, GS was an independent significantly predictor for PMI3 (beta = 0.006, P < .05) and PMI5 (beta = 0.007, P < .05). Following receiver operating characteristic curve analysis, the optimal cut-off value to predict PMI are 22.5 for PMI3 and 27 for PMI5. The GS was an independent predictor of PMI in the single-coronary revascularization population. Additionally, the 22.5 of GS was the optimal cut-off value for determining the presence of PMI3, while the 27 of GS for PMI5.

Automated summary

The Gensini score is a useful tool for evaluating the severity and complexity of coronary artery diseases. This research found a correlation between the Gensini score and periprocedural myocardial infarction (PMI), with higher scores associated with a higher incidence of PMI. The study also determined the optimal cut-off values of the Gensini score for predicting PMI.