Objective To investigate the prognostic value of remnant lipoprotein cholesterol(RLP-C)and platelet-lymphocyte ratio(PLR)for elderly patients with acute myocardial infarction(AMI)stratified by body mass index(BMI).Methods A total of 130 elderly AMI patients admitted to our hospital from January 2022 to January 2024 were recruited,and then based on their BMI,they were categorized into low(n=18),normal(n=60),and high BMI groups(n=52).Multivariate logistic regression analysis was used to identify the risk factors for poor prognosis in elderly AMI patients.Spearman correlation analysis was conducted to examine the relationship of RLP-C and PLR with prognostic outcomes.ROC curve analysis was performed to evaluate the predictive per-formance of the two indicators for prognosis in elderly AMI patients of different BMI.Results Significant differences in RLP-C and PLR levels were observed among the above three groups(P＜0.05,P＜0.01).In the overall population,as well as in the low,normal and high BMI groups,both RLP-C and PLR were positively correlated with adverse outcomes in elderly AMI patients(P＜0.01).PLR and RLP-C were independent risk factors for poor prognosis in elderly AMI pa-tients(P＜0.01),and they were independently associated with prognosis in each BMI group(P＜0.01).The combined the three indicators together significantly improved the sensitivity and speci-ficity in predicting adverse outcomes in elderly AMI patients when compared to single indicator alone(sensitivity:54.29％,75.94％,64.18％vs 82.61％;specificity:68.83％,70.22％,72.15％vs 80.49％;P＜0.01).Conclusion RLP-C and PLR are influencing factors for poor prognosis in eld-erly AMI patients,and can serve as predictive factors for prognosis,which are helpful for provi-ding valuable guidance for early treatment and prevention of adverse outcomes.

Objective To investigate the prognostic value of remnant lipoprotein cholesterol(RLP-C)and platelet-lymphocyte ratio(PLR)for elderly patients with acute myocardial infarction(AMI)stratified by body mass index(BMI).Methods A total of 130 elderly AMI patients admitted to our hospital from January 2022 to January 2024 were recruited,and then based on their BMI,they were categorized into low(n=18),normal(n=60),and high BMI groups(n=52).Multivariate logistic regression analysis was used to identify the risk factors for poor prognosis in elderly AMI patients.Spearman correlation analysis was conducted to examine the relationship of RLP-C and PLR with prognostic outcomes.ROC curve analysis was performed to evaluate the predictive per-formance of the two indicators for prognosis in elderly AMI patients of different BMI.Results Significant differences in RLP-C and PLR levels were observed among the above three groups(P＜0.05,P＜0.01).In the overall population,as well as in the low,normal and high BMI groups,both RLP-C and PLR were positively correlated with adverse outcomes in elderly AMI patients(P＜0.01).PLR and RLP-C were independent risk factors for poor prognosis in elderly AMI pa-tients(P＜0.01),and they were independently associated with prognosis in each BMI group(P＜0.01).The combined the three indicators together significantly improved the sensitivity and speci-ficity in predicting adverse outcomes in elderly AMI patients when compared to single indicator alone(sensitivity:54.29％,75.94％,64.18％vs 82.61％;specificity:68.83％,70.22％,72.15％vs 80.49％;P＜0.01).Conclusion RLP-C and PLR are influencing factors for poor prognosis in eld-erly AMI patients,and can serve as predictive factors for prognosis,which are helpful for provi-ding valuable guidance for early treatment and prevention of adverse outcomes.