Hao-Ming He1, Si-Cheng Zhang1, Chen He1, Zhe-Bin You2, Man-Qing Luo1, Mao-Qing Lin1, Xue-Qin Lin1, Li-Wei Zhang1, Kai-Yang Lin3, Yan-Song Guo4. 1. Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China; Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Clinical Medical Research Center for Cardiovascular Diseases, Fujian Cardiovascular Institute, Fuzhou, China; Fujian Heart Failure Center Alliance, Fuzhou, China. 2. Department of Geriatric Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China. 3. Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China; Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Clinical Medical Research Center for Cardiovascular Diseases, Fujian Cardiovascular Institute, Fuzhou, China; Fujian Heart Failure Center Alliance, Fuzhou, China. Electronic address: lky7411@sina.com. 4. Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China; Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Clinical Medical Research Center for Cardiovascular Diseases, Fujian Cardiovascular Institute, Fuzhou, China; Fujian Heart Failure Center Alliance, Fuzhou, China. Electronic address: ysguo1234@126.com.
Abstract
BACKGROUND: Neutrophil and albumin are well-known biomarkers of inflammation, which are highly related to contrast-associated acute kidney injury (CA-AKI). We aim to explore the predictive value of neutrophil percentage-to-albumin ratio (NPAR) for CA-AKI and long-term mortality in patients without chronic kidney disease (CKD) undergoing elective percutaneous coronary intervention (PCI). METHODS: We retrospectively observed 5083 consenting patients from January 2012 to December 2018. CA-AKI was defined as an increase in serum creatinine ≥50% or 0.3 mg/dL within 48 h after contrast medium exposure. RESULTS: The incidence of CA-AKI was 5.6% (n=286). The optimal cut-off value of NPAR for predicting CA-AKI was 15.7 with 66.8% sensitivity and 61.9% specificity [C statistic=0.679; 95% confidence interval (CI), 0.666-0.691]. NPAR displayed higher area under the curve values in comparison to neutrophil percentage (p < 0.001) and neutrophil-to-albumin ratio (NAR) (p < 0.001), but not albumin (p = 0.063). However, NPAR significantly improved the prediction of CA-AKI assessed by the continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) compared to neutrophil percentage (NRI=0.353, 95% CI: 0.234-0.472, p < 0.001; IDI=0.017, 95% CI: 0.010-0.024, p < 0.001) and albumin (NRI=0.141, 95% CI: 0.022-0.260, p = 0.020; IDI=0.009, 95% CI: 0.003-0.015, p = 0.003) alone. After adjusting for potential confounding factors, multivariate analysis showed that NPAR >15.7 was a strong independent predictor of CA-AKI (odds ratio =1.90, 95% CI: 1.38-2.63, p < 0.001). Additionally, NPAR >15.7 was significantly associated with long-term mortality during a median of 2.9 years of follow-up (hazard ratio =1.68, 95% CI: 1.32-2.13; p < 0.001). CONCLUSIONS: NPAR was an independent predictor of CA-AKI and long-term mortality in patients without CKD undergoing elective PCI.
BACKGROUND: Neutrophil and albumin are well-known biomarkers of inflammation, which are highly related to contrast-associated acute kidney injury (CA-AKI). We aim to explore the predictive value of neutrophil percentage-to-albumin ratio (NPAR) for CA-AKI and long-term mortality in patients without chronic kidney disease (CKD) undergoing elective percutaneous coronary intervention (PCI). METHODS: We retrospectively observed 5083 consenting patients from January 2012 to December 2018. CA-AKI was defined as an increase in serum creatinine ≥50% or 0.3 mg/dL within 48 h after contrast medium exposure. RESULTS: The incidence of CA-AKI was 5.6% (n=286). The optimal cut-off value of NPAR for predicting CA-AKI was 15.7 with 66.8% sensitivity and 61.9% specificity [C statistic=0.679; 95% confidence interval (CI), 0.666-0.691]. NPAR displayed higher area under the curve values in comparison to neutrophil percentage (p < 0.001) and neutrophil-to-albumin ratio (NAR) (p < 0.001), but not albumin (p = 0.063). However, NPAR significantly improved the prediction of CA-AKI assessed by the continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) compared to neutrophil percentage (NRI=0.353, 95% CI: 0.234-0.472, p < 0.001; IDI=0.017, 95% CI: 0.010-0.024, p < 0.001) and albumin (NRI=0.141, 95% CI: 0.022-0.260, p = 0.020; IDI=0.009, 95% CI: 0.003-0.015, p = 0.003) alone. After adjusting for potential confounding factors, multivariate analysis showed that NPAR >15.7 was a strong independent predictor of CA-AKI (odds ratio =1.90, 95% CI: 1.38-2.63, p < 0.001). Additionally, NPAR >15.7 was significantly associated with long-term mortality during a median of 2.9 years of follow-up (hazard ratio =1.68, 95% CI: 1.32-2.13; p < 0.001). CONCLUSIONS: NPAR was an independent predictor of CA-AKI and long-term mortality in patients without CKD undergoing elective PCI.