Prognostic Value of the Advanced Lung Cancer Inflammation Index Ratio in Patients with Acute Myocardial Infarction Complicated by Cardiogenic Shock: A Cohort Study

Abstract

Background : Acute myocardial infarction (AMI) complicated by cardiogenic shock (CS) carries a high mortality risk. Inflammation and nutrition are involved in the pathogenesis and prognosis of both AMI and CS. The advanced lung cancer inflammation index ratio (ALI) combines the inflammatory and nutritional status. Our present study aimed to explore the prognostic value of ALI in patients with CS following AMI. Methods : In total, 217 consecutive patients with AMI complicated by CS were divided into two groups based on the ALI admissions cut-off: ≤ 12.69 and > 12.69. The primary endpoint of this study was 30-day all-cause mortality. The secondary endpoints were gastrointestinal hemorrhage and major adverse cardiovascular events (MACEs), including 30-day all-cause mortality, atrioventricular block, ventricular tachycardia/ventricular fibrillation, and nonfatal stroke. The association of ALI with the study end-points was analyzed by Cox regression analysis. Results : During the 30-day follow-up period after admission, 104 (47.9%) patients died and 150 (69.1%) suffered MACEs. The Kaplan–Meier analysis revealed significantly higher cumulative mortality and lower MACE rates in the low-ALI group compared to the high-ALI group (both log-rank p < 0.001). The 30-day mortality rate was significantly higher in patients with ALI ≤ 12.69 compared to ALI > 12.69 (72.1% vs. 22.6%; p < 0.001). Furthermore, the incidence of MACEs was higher in patients with ALI ≤ 12.69 (85.6% vs. 51.9%; p < 0.001). The receiver operating curve showed that ALI had a modest predictive value (area under the curve [AUC]: 0.789, 95% confidence interval [CI]: 0.729, 0.850). After multivariable adjustment, ALI ≤ 12.69 was an independent predictor for both 30-day all-cause mortality (hazard ratio [HR]: 3.327; 95% CI: 2.053, 5.389; p < 0.001) and 30-day MACEs (HR: 2.250; 95% CI 1.553, 3.260; p < 0.001). Furthermore, the addition of ALI to a base model containing clinical and laboratory data statistically improved the predictive value. Conclusions : Assessing ALI levels upon admission can provide important information for the short-term prognostic assessment of patients with AMI complicated by CS. A lower ALI may serve as an independent predictor of increased 30-day all-cause mortality and MACEs.