ABSTRACT
Objective:To analysis the clinical features of patients with acute myocardial infarction (AMI) presenting de Winter pattern on electrocardiogram.Methods:A total of 1 287 patients with AMI admitted to Beijing Luhe Hospital between June 2017 and January 2019 were enrolled in the study. Electrocardiogram and clinical features of 13 patients with AMI presenting de Winter pattern on electrocardiogram were analyzed and compared with anterior wall ST-segment elevation myocardial infarction(STEMI, n=206). Results:Among the 13 patients, 12 were males, aged (52.23±12.55) years old. Compared to patients with anterior wall STEMI, the age in the de Winter group was younger [(52.23±12.55)years vs. (59.79±12.46)years; t=-2.12, P=0.03], and the time from onset to appearing a typical ECG was shorter [109.0 (71.5, 152.0)min vs. 200.5 (120.0, 397.5)min; Z=-3.38, P<0.01]. Three cases showed a shifting between de Winter pattern and typical STEMI ECG: the de Winter ECG pattern progressed to STEMI in 2 cases, 1 case changed from STEMI to de Winter,then converted to STEMI again. The emergency angiography was performed in all 13 patients, angiography showed that proximal left anterior descending branch (LAD) was involved in 11 cases, mid LAD was involved in 1 case, and diffuse spasm occurred in all vessels in 1 case. The de Winter ECG pattern vanished in all patients after primary percutaneous coronary intervention or emergency angiography. Conclusions:The de Winter ECG pattern suggests an acute proximal or mid LAD artery occlusion, and the de Winter ECG pattern can be alternated with STEMI. The de Winter pattern should be recognized and revascularization should be given early.
ABSTRACT
Objective:To explore the influencing factors of postoperative graft stenosis in patients undergoing left internal mammary artery-left anterior descending branch (LIMA-LAD) coronary artery bypass graft (CABG) surgery.Methods:A retrospective analysis of the clinical data of 86 patients who were admitted to the Second Affiliated Hospital of Hainan Medical College and received coronary angiography after CABG surgery from July 2019 to December 2020 due to recurrent chest tightness, chest pain and other symptoms. According to the degree of stenosis of the LIMA-LAD graft, the patients were divided into stenosis group ( n=25) and non-stenosis group ( n=61). The graft stenosis of patients in the stenosis group was ≥50%, and the graft stenosis of patients in the non-stenotic group was less than 50%. The general information, past medical history, CABG intraoperative data, current visit data and biochemical indicators of the two groups were compared. Measurement data were expressed as mean±standard deviation ( Mean± SD), comparison between groups was by t-test; count data comparison between groups was by Chi-square test. Logistic regression analysis was used to screen out the influencing factors of graft stenosis after CABG. Use the rms package in the R 4.0.2 software to build a nomogram prediction model. Using receiver operating characteristic (ROC) curve to evaluate the discriminative degree of the model. Use the calibration curve and deviation correction C-index to evaluate the nomogram prediction model. Use X-tile software to obtain the cutoff value of the nomogram model integral, use Kaplan-Meier method to draw the survival curve, and use Log-rank to test. Results:Logistic regression analysis showed that smoking, hypertension, pre-CABG left anterior descending branch (LAD) stenosis <75%, pre-CABG left internal mammary artery (LIMA) blood flow, and coronary angiography diffuse lesions are independent risk factors that affect LIMA-LAD graft stenosis after CABG ( P<0.05). The C-index value predicted by the nomogram model was 0.879 (95% CI: 0.818-0.955, P<0.001). The area under the ROC curve was 0.712 (95% CI: 0.594-0.801, P<0.001), with good discrimination. The calibration curve shows that the accuracy of the model prediction was good. Through the X-tile software screening to obtain the model score cutoff value, the patients were divided into low-risk group (≤54 points), medium-risk group (>54 points and ≤112 points), and high-risk group (>112 points). The results of survival analysis showed that the incidence of postoperative graft stenosis in the three groups was 20.9%, 50.0% and 80.0%, respectively. Conclusions:Smoking, hypertension, LAD stenosis before CABG <75%, LIMA blood flow before CABG, and coronary angiography diffuse lessions are independent risk factors that affect LIMA-LAD graft stenosis after CABG. The construction of a nomogram prediction model can provide a reference for evaluating the patency of the LIMA-LAD graft vessel before CABG operation, and reduce the probability of LIMA-LAD graft vessel stenosis after CABG operation.