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Predictive Value of Platelet-to-Albumin Ratio (PAR) for the Cardiac-Associated Acute Kidney Injury and Prognosis of Patients in the Intensive Care Unit

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Background We wanted to demonstrate whether the initial platelet-to-albumin ratio (PAR) had predictive value for cardiac surgery-associated acute kidney injury (CSA-AKI) and prognosis of critical care patients. Methods This is… Click to show full abstract

Background We wanted to demonstrate whether the initial platelet-to-albumin ratio (PAR) had predictive value for cardiac surgery-associated acute kidney injury (CSA-AKI) and prognosis of critical care patients. Methods This is an observational and multi-center study from the MIMIC-IV database, the eICU-CRD database as well as CS patients at our institution. Logistic regression and Cox regression analyses were applied to determine the predictive value for CSA-AKI and in-hospital mortality. LASSO and SVM-RFE models were then employed to discover the coincident variables connected with CSA-AKI. The main objective of this research was the incidence of CSA-AKI, whereas the secondary endpoint was in-hospital death. Results The higher PAR value (≥4.67) had a higher risk of CSA-AKI (adjusted OR = 4.02, 95% CI 3.41–4.75, P < 0.001) and in-hospital mortality (HR = 2.41 95% CI 1.44–4.03, P = 0.001) after adjusted for other confounding factors including patients with or without chronic kidney disease. The proposed nomogram based on PAR and others clinical factors selected by LASSO and SVM-RFE models for CSA-AKI had the C-index 0.821 (95% CI 0.807–0.834), 0.808 (95% CI 0.787–0.829), 0.745 (95% CI 0.728–0.762), and 0.826 (95% CI 0.753–0.899) in these cohorts, respectively. The nomogram exhibited both remarkable calibration capacity and therapeutic helpfulness in all groups. Conclusion PAR is a relative excellent measure for the event AKI and prognosis of ICU patients who undergone CS. The suggested nomogram based on PAR resulted in an accurate prediction for the detection of critical care patients with CSA-AKI.

Keywords: prognosis; predictive value; kidney; care; value; csa aki

Journal Title: International Journal of General Medicine
Year Published: 2022

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