Influencing factors of acute kidney injury in hepatitis B cirrhosis and construction of a nomogram prediction model
Objective:To investigate the influential factors of acute kidney injury(AKI)in hepatitis B cirrhosis and develop a nomogram prediction model.Methods:The study collected clinical data from 397 patients with hepatitis B cirrhosis.The patients were divided into two groups based on the occurrence of AKI:the cirrhosis AKI group(n =82)and the cirrhosis non-AKI group(n =315).The clinical data between the two groups was compared,and multi-factor logistic regression was used to analyze the influencing factors of AKI in cirrhosis.Results:The study included397 patients with hepatitis B cirrhosis,82 of whom developed AKI,resulting in an incidence of 20.7%.The AKI group had a higher incidence of decompensation,ascites,upper gastrointestinal bleeding and diuretic use at the age of≥50 years,higher levels of TBil,PT and PCT,and lower levels of ALB and serum Na,and higher Child-Pugh grade compared with the non-AKI group,with statistical significance(all P<0.05).Multi-factor analysis showed that ALB and serum Na were protective factors for AKI in hepatitis B cirrhosis(OR =0.850 and0.581,both P<0.05),while decompensation,ascites,elevated TBil,prolonged PT,elevated PCT,and Child-Pugh B/C grade were risk factors(OR =3.398,7.013,1.146,1.314,1.969,and 26.230,all P<0.05).The nomogram prediction model predicted the AUC of liver cirrhosis to be 0.901 with the calibration curve showing that the predicted value was consistent with the measured value.Conclusion:Decompensation,ascites,increased TBil,PT and PCT levels,and decreased ALB and serum Na levels,and Child-Pugh B/C grade were identified as independent risk factors for AKI in hepatitis B cirrhosis.The nomogram prediction model established in this study demonstrated good accuracy in predicting AKI in hepatitis B cirrhosis.
hepatitis B cirrhosisacute kidney injuryinfluencing factorsnomogram prediction model
万方数据
维普
