Gaofan Su1, Ying Zhang1, Ruyi Xiao2, Tingting Zhang3, Binbin Gong3. 1. Department of Blood Transfusion, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. 2. Department of Hematopathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. 3. Department of Clinical Laboratory, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Abstract
OBJECTIVE: Prognostic indicators in acute coronary syndrome (ACS) would aid in decision-making and identifying high-risk patients. The systemic immune-inflammation index (SII) has good prognostic value in many diseases; however, its use has not been reported for ACS. We aimed to determine the associations between the SII and outcomes in patients with ACS, with adjustment for confounders. METHODS: In this retrospective cohort study, we used the MIMIC-III (Multiparameter Intelligent Monitoring in Intensive Care) database and the eICU Collaborative Research Database. The primary outcome was 30-day mortality. Cox regression analysis was performed to determine the relationship between the SII and patient outcomes, and we conducted subgroup analysis and smooth curve fitting. RESULTS: We identified 4699 patients with ACS: 1741 women and 2949 men, mean age 82.8±29.7 years, and mean SII 72.58±12.9. For 30-day all-cause mortality, the unadjusted hazard ratio (HR) (95% confidence interval [CI]) of SII <69.4 and SII >88.8 were 1.25 (1.04, 1.50) and 1.38 (1.15, 1.65), respectively. With SII >88.8, this association remained significant after adjustment for numerous potential confounders: HR 1.27 (1.06, 1.52). A similar relationship was observed for 90-day and 1-year all-cause mortality. CONCLUSIONS: SII is a promising prognostic indicator for unselected patients with ACS. This finding needs to be confirmed in prospective studies.
OBJECTIVE: Prognostic indicators in acute coronary syndrome (ACS) would aid in decision-making and identifying high-risk patients. The systemic immune-inflammation index (SII) has good prognostic value in many diseases; however, its use has not been reported for ACS. We aimed to determine the associations between the SII and outcomes in patients with ACS, with adjustment for confounders. METHODS: In this retrospective cohort study, we used the MIMIC-III (Multiparameter Intelligent Monitoring in Intensive Care) database and the eICU Collaborative Research Database. The primary outcome was 30-day mortality. Cox regression analysis was performed to determine the relationship between the SII and patient outcomes, and we conducted subgroup analysis and smooth curve fitting. RESULTS: We identified 4699 patients with ACS: 1741 women and 2949 men, mean age 82.8±29.7 years, and mean SII 72.58±12.9. For 30-day all-cause mortality, the unadjusted hazard ratio (HR) (95% confidence interval [CI]) of SII <69.4 and SII >88.8 were 1.25 (1.04, 1.50) and 1.38 (1.15, 1.65), respectively. With SII >88.8, this association remained significant after adjustment for numerous potential confounders: HR 1.27 (1.06, 1.52). A similar relationship was observed for 90-day and 1-year all-cause mortality. CONCLUSIONS: SII is a promising prognostic indicator for unselected patients with ACS. This finding needs to be confirmed in prospective studies.
Entities:
Keywords:
Acute coronary syndrome; Multiparameter Intelligent Monitoring in Intensive Care; high-risk patient; mortality; prognosis; systemic immune-inflammation index
Authors: Patricia Wischmann; Raphael Romano Bruno; Bernhard Wernly; Georg Wolff; Shazia Afzal; Richard Rezar; Mareike Cramer; Nadia Heramvand; Malte Kelm; Christian Jung Journal: Eur Heart J Open Date: 2022-06-15