Association between mild renal insufficiency, inflammatory status on initial admission, and 1-year mortality following ST-segment elevation myocardial infarction

Figures

• 

  Fig. 1. Kaplan-Meier curves show the cumulative hazard of all-cause death following STEMI according to eGFR categories (A) and NLR categories (B), respectively. HRs were adjusted for age, gender, hypertension, diabetes, hyperlipidemia, smoking, prior myocardial infarction, prior stroke, symptom-to-balloon time, anterior myocardial infarction, post-procedural TIMI flow grade 3, multivessel disease, and complete revascularization using inverse probability of treatment weighting. eGFR estimated glomerular filtration rate, NLR neutrophil-lymphocyte ratio, STEMI ST-segment elevation myocardial infarction.

• 

  Fig. 2. Exposure-response relationships of eGFR (A), NLR (B) with the 1-year mortality risk following STEMI. HRs were adjusted for age, gender, hypertension, diabetes, hyperlipidemia, smoking, prior myocardial infarction, prior stroke, symptom-to-balloon time, anterior myocardial infarction, post-procedural TIMI flow grade 3, multivessel disease, and complete revascularization. CI confidence interval, eGFR estimated glomerular filtration rate, NLR neutrophil-lymphocyte ratio, STEMI ST-segment elevation myocardial infarction.

• 

  Fig. 3. Joint effects of eGFR and NLR on the 1-year mortality risk following STEMI. The model was adjusted for age, gender, hypertension, diabetes, hyperlipidemia, smoking, prior myocardial infarction, prior stroke, symptom-to-balloon time, anterior myocardial infarction, post-procedural TIMI flow grade 3, multivessel disease, and complete revascularization. CI confidence interval, eGFR estimated glomerular filtration rate, HR hazard ratios, NLR neutrophil-lymphocyte ratio, STEMI ST-segment elevation myocardial infarction.

• 

  Fig. 4. Predictive performance of the combined eGFR and NLR for 1-year mortality risk following STEMI. (A) The receiver operating characteristic (ROC) curve for evaluating the discrimination power by calculating the AUC with 95%CI; (B) Decision curve analysis (DCA) to compare the clinical usefulness of the models for decision making. The y‑axis measures the net benefits. The x‑axis measures the threshold probability. AUC area under curve, CI confidence interval, eGFR estimated glomerular filtration rate, NLR neutrophil-lymphocyte ratio, STEMI ST-segment elevation myocardial infarction.