Background The Neutrophil percentage to albumin ratio (NPAR) is considered a novel inflammatory marker. Previous studies have confirmed that admission NPAR is an independent predictor of clinical outcomes in various diseases such as sepsis, acute kidney injury, cardiogenic shock, chronic obstructive pulmonary disease, and cerebral hemorrhage.
Objective The aim of this study is to investigate the potential role of Neutrophil Percentage to Albumin Ratio (NPAR) in predicting the in-hospital adverse events among patients with acute myocardial infarction (AMI).
Methods This retrospective study included AMI patients (n=6 768) admitted to the People's Hospital of Xinjiang Uygur Autonomous Region from August 1, 2011, to January 10, 2022. Baseline data and laboratory results were collected, and NPAR was calculated. Endpoint events were identified from discharge diagnoses in the electronic medical record system. Patients were divided into quartiles based on NPAR: Q1 (NPAR<1.67, n=1 753), Q2 (1.67≤NPAR≤2.02, n=1 694), Q3 (2.03≤NPAR≤2.34, n=1 624), and Q4 (NPAR>2.34, n=1 697). Multivariate Logistic regression was used to analyze the association between admission NPAR and endpoint events. Restricted cubic spline regression was employed to examine the dose-response relationship between NPAR and endpoint events.
Results A total of 6 768 patients were included. There were 765 cases (11.3%) of all-cause mortality, 709 cases (10.5%) of cardiogenic shock, 380 cases (5.6%) of ventricular tachycardia/ventricular fibrillation (VT/VF), and 119 cases (1.8%) of new-onset stroke. Multivariate logistic regression analysis with admission NPAR as a continuous variable and all-cause mortality as the dependent variable showed that for each standard deviation increase in NPAR, the risk of all-cause mortality increased by 18% (OR=1.18, 95%CI=1.08-1.29, P<0.001). When NPAR was treated as a categorical variable, the Q4 group (OR=1.48, 95%CI=1.11-1.97, P=0.008) was identified as a risk factor for all-cause mortality, with increasing risk across higher NPAR quartiles (Ptrend=0.007). Restricted cubic spline regression revealed a linear relationship between NPAR and all-cause mortality risk (Pnonlinearity=0.171). Multivariate Logistic regression analysis with cardiogenic shock, VT/VF, atrioventricular block, and new-onset stroke as dependent variables showed that for each standard deviation increase in NPAR, the risk of cardiogenic shock increased by 20% (OR=1.20, 95%CI=1.09-1.32, P<0.001). When NPAR was treated as a categorical variable, the Q2 (OR=1.41, 95%CI=1.01-1.97, P=0.044), Q3 (OR=1.85, 95%CI=1.36-2.54, P<0.001), and Q4 (OR=2.09, 95%CI=1.53-2.89, P<0.001) groups were risk factors for cardiogenic shock, with a trend of increasing risk across higher quartiles (Ptrend<0.001). Restricted cubic spline regression indicated a nonlinear relationship between NPAR and cardiogenic shock risk (Pnonlinearity=0.026). NPAR as a continuous variable was not a risk factor for VT/VF, atrioventricular block (P>0.05). When treated as a categorical variable, Q3 was a risk factor for VT/VF (OR=1.43, 95%CI=1.01-2.03, P=0.045) and atrioventricular block (OR=1.85, 95%CI=1.11-3.15, P=0.020), while Q4 was a risk factor for VT/VF (OR=1.56, 95%CI=1.09-2.26, P=0.017), atrioventricular block (OR=1.87, 95%CI=1.08-3.31, P=0.028), and new-onset stroke (OR=2.26, 95%CI=1.16-4.58, P=0.019). The risks of VT/VF, atrioventricular block, and new-onset stroke increased with higher NPAR quartiles (Ptrend=0.009, 0.005, and 0.017, respectively). Stratified and interaction analyses showed that age, sex, hypertension, type 2 diabetes, smoking, and AMI type did not alter the association between NPAR and in-hospital adverse outcomes (P>0.05).
Conclusion This study confirms that elevated NPAR is associated with an increased risk of in-hospital all-cause mortality and cardiogenic shock in AMI patients, exhibiting a dose-response relationship. These findings suggest that NPAR, as a simple and accessible composite marker of inflammation and nutritional status, may help identify high-risk patients early during admission and provide valuable reference for clinical risk stratification and prognostic assessment.