ArticleScientific reports2025
Preoperative neutrophil percentage-to-albumin ratio as a postoperative AKI predictor in non-cardiac surgery: a retrospective cohort secondary analysis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Impact of sex on the association between neutrophil percentage-to-albumin ratio and mortality in perioperative patients with chronic kidney disease: a retrospective analysis of the INSPIRE database.Perioperative medicine (London, England) · 2026Article
- The Neutrophil-to-Albumin Ratio (NAR) Reflects the Severity of the Post-CABG Inflammatory Response and Is Associated with a Pre-Existing Pro-Inflammatory Monocyte Profile.Life (Basel, Switzerland) · 2025Article
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10 authors.
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Abstract
Acute kidney injury (AKI) is a critical postoperative complication in non-cardiac surgery patients, significantly impacting patient outcomes. The neutrophil percentage-to-albumin ratio (NPAR) is a promising inflammatory biomarker for predicting AKI. However, it is still unclear whether NPAR could be used as a predictor of postoperative AKI in Non-Cardiac Surgical Patients. Univariate and multivariable logistic regression analyses were conducted to assess the predictive value of NPAR for postoperative AKI, controlling for potential confounders. A total of 3041 patients were considered for the analysis after excluding those with preoperative infections and chronic kidney disease. The area under the receiver operating characteristic (ROC) curve for NPAR was 0.723, indicating moderate predictive capability for postoperative AKI. The optimal threshold for NPAR was 5.310, with a specificity of 0.640 and a sensitivity of 0.729. Multivariable regression analysis revealed that NPAR was significantly associated with postoperative AKI risk (adjusted odds ratio 1.093, 95% CI 1.072-1.116, P < 0.001), independent of other clinical factors. Preoperative NPAR is a significant predictor of postoperative AKI in non-cardiac surgical patients under general anesthesia and could be a valuable biomarker for identifying non-cardiac surgical patients at high-risk of AKI.
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