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25 April 2021: Clinical Research

Predicting the Risk of Acute Kidney Injury in Patients After Percutaneous Coronary Intervention (PCI) or Cardiopulmonary Bypass (CPB) Surgery: Development and Assessment of a Nomogram Prediction Model

Yi Du ABCDEFG , Xiu-Zhe Wang ABFG , Wei-Dong Wu ABCDE* , Hai-Peng Shi ABC , Xiao-Jing Yang CD , Wen-Jing Wu BC , Shu-Xian Chen EF

DOI: 10.12659/MSM.929791

Med Sci Monit 2021; 27:e929791

Figure 2 Building a personalized predictive model. (A) A nomogram model predicting the risk of AKI. Note: 11 factors including operation methods, age, congestive heart failure, BMI – heart rate; WBC count – platelet count, hemoglobin, uric acid and PI (kidney cortex as well as kidney medulla) were included in the model. * P<0.05, ** P<0.01, *** P<0.005. (B) A forest chart showing the prediction factors of AKI after PCI or CPB surgery. AKI – acute kidney injury; BMI – body mass index; CPB – cardiopulmonary bypass; PCI – percutaneous coronary intervention; PI – peak intensity; WBC – white blood cell.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750