Construction and validation of a nomogram for hepatocellular carcinoma patients based on HCC-GRIm score

Purpose To construct a nomogram for hepatocellular carcinoma (HCC) patients base on HCC-GRIm score. Methods Clinical cases of HCC patients diagnosed at Hunan Integrated Traditional Chinese and Western Medicine Hospital were included, and these were randomly divided into the training cohort ( n = 219) and the validation cohort ( n = 94), and those patients were divided into low GRIm-Score group (scores 0, 1, and 2) and high GRIm-Score group (scores 3, 4, and 5). In the training cohort, independent risk factors were determined by Cox regression analysis, and a nomogram was constructed by independent risk factors. The efficiency and the clinical applicability of nomograms were evaluated using ROC curves, calibration plot, and the decision curve (DCA), and the patients were divided into high-risk, middle-risk, and low-risk groups according to total score of nomogram. Results Compared to low HCC-GRIm score group, high HCC-GRIm score group with BCLC stage is more advanced ( P