The prognostic value of dynamic changes in SII for the patients with STEMI undergoing PPCI

• Published in: BMC cardiovascular disorders 2024-01, Vol.24 (1), p.67-16, Article 67
• Main Authors: Liu, Ailin, Sun, Na, Gao, Feiyu, Wang, Xiaotong, Zhu, Hong, Pan, Defeng
• Format: Article
• Language: English
• Subjects: Angioplasty; Antilipemic agents; Aspirin; Atherosclerosis; Beta blockers; Blood diseases; Blood Platelets; Blood pressure; Cardiac arrhythmia; Cardiovascular disease; Care and treatment; Cholesterol; Complications and side effects; Coronary Care Units; Coronary vessels; Diabetes; Dosage and administration; Dynamic changes; Enzymes; Heart attack; Heart attacks; Hemoglobin; Hospitals; Humans; Hypertension; Inflammation; Leukocytes (neutrophilic); Lipoproteins; Lymphocytes; Mortality; Myocardial infarction; Patient outcomes; Patients; Primary percutaneous coronary intervention; Prognosis; Retrospective Studies; Risk factors; ST Elevation Myocardial Infarction; Statins; Stents; Systemic immune-inflammation index; Thrombosis; Transluminal angioplasty; Vein & artery diseases
• ISSN: 1471-2261; 1471-2261
• DOI: 10.1186/s12872-023-03679-w

Predicting the prognosis of primary percutaneous coronary intervention(PPCI) in ST-segment elevation myocardial infarction (STEMI) patients in the perioperative period is of great clinical significance. The inflammatory response during the perioperative period is also an important factor. This study aimed to investigate the dynamic changes in the systemic immune inflammatory index (SII) during the perioperative period of PPCI and evaluate its predictive value for in-hospital and out-of-hospital outcomes in patients with STEMI. This retrospective study included 324 consecutive patients with STEMI who were admitted to the cardiac care unit. Blood samples were collected before PPCI, 12 h (T1), 24 h, 48 h after PPCI, the last time before hospital discharge (T2), and 1 month after hospital discharge. The SII was calculated as (neutrophils×platelets)/lymphocytes. Based on whether the primary endpoint occurred, we divided the patients into event and non-event groups. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors that might influence the occurrence of the primary endpoint. Dynamic curves of SII were plotted, and receiver operating characteristic (ROC) curves were drawn for each node to calculate the optimal critical value, sensitivity, and specificity to assess their predictive ability for in-hospital and out-of-hospital courses. Kaplan-Meier curves were used to analyze the differences in survival rates at different SII inflammation levels. High levels of SII were individually related to the occurrence of the in-hospital period and long-term outcomes during the post-operative follow-up of STEMI patients (in-hospital SII: T1:OR 1.001,95%CI 1.001-1.001, P