Background: Neutrophil percentage to albumin ratio (NPAR) has been shown to be correlated with the prognosis of various diseases. This study aimed to explore the effect of NPAR on the prognosis of patients in coronary care units (CCU).
Method: All data in this study were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III, version1.4) database. All patients were divided into four groups according to their NPAR quartiles. The primary outcome was in-hospital mortality. Secondary outcomes were 30-day mortality, 365-day mortality, length of CCU stay, length of hospital stay, acute kidney injury (AKI), and continuous renal replacement therapy (CRRT). A multivariate binary logistic regression analysis was performed to confirm the independent effects of NPAR. Cox regression analysis was performed to analyze the association between NPAR and 365-day mortality. The curve in line with overall trend was drawn by local weighted regression (Lowess). Subgroup analysis was used to determine the effect of NPAR on in-hospital mortality in different subgroups. Receiver operating characteristic (ROC) curves were used to evaluate the ability of NPAR to predict in-hospital mortality. Kaplan-Meier curves were constructed to compare the cumulative survival rates among different groups.
Result: A total of 2364 patients in CCU were enrolled in this study. The in-hospital mortality rate increased significantly as the NPAR quartiles increased ( 0.001). In multivariate logistic regression analysis, NPAR was independently associated with in-hospital mortality (quartile 4 versus quartile 1: odds ratio [OR], 95% confidence interval [CI]: 1.83, 1.20-2.79, = 0.005, for trend 0.001). In Cox regression analysis, NPAR was independently associated with 365-day mortality (quartile 4 versus quartile 1: OR, 95% CI: 1.62, 1.16-2.28, = 0.005, for trend 0.001). The Lowess curves showed a positive relationship between NPAR and in-hospital mortality. The moderate ability of NPAR to predict in-hospital mortality was demonstrated through ROC curves. The area under the curves (AUC) of NPAR was 0.653 ( 0.001), which is better than that of the platelet to lymphocyte ratio (PLR) ( 0.001) and neutrophil count ( 0.001) but lower than the Sequential Organ Failure Assessment ( = 0.046) and Simplified Acute Physiology Score II ( 0.001). Subgroup analysis did not reveal any obvious interactions in most subgroups. However, Kaplan-Meier curves showed that as NPAR quartiles increased, the 30-day (log-rank, 0.001) and 365-day (log-rank, 0.001) cumulative survival rates decreased significantly. NPAR was also independently associated with AKI (quartile 4 versus quartile 1: OR, 95% CI: 1.57, 1.19-2.07, = 0.002, for trend = 0.001). The CCU and hospital stay length was significantly prolonged in the higher NPAR quartiles.
Conclusions: NPAR is an independent risk factor for in-hospital mortality in patients in CCU and has a moderate ability to predict in-hospital mortality.
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http://dx.doi.org/10.31083/j.rcm2310333 | DOI Listing |
J Hypertens
December 2024
University/British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, Scotland, UK.
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State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, SAR 999078, P.R. China.
Subarachnoid hemorrhage (SAH), a prevalent cerebrovascular condition associated with a high mortality rate, frequently results in neuronal apoptosis and an unfavorable prognosis. The adjunctive use of traditional Chinese medicine (TCM) with surgical interventions exerts a therapeutic impact on SAH, potentially by facilitating apoptosis. However, the mechanism by which TCM mediates apoptosis following SAH remains unclear.
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The First Central Clinical School, Tianjin Medical University, Tianjin 300000, P.R. China.
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Department of Nephrology, the Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
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Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
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