Hao Hu1,2, Hong Han3,4, Xi Kun Han5, Wen Ping Wang6,7, Hong Ding1,2. 1. Department of Ultrasound, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. 2. Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. 3. Department of Ultrasound, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. han.hong@zs-hospital.sh.cn. 4. Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. han.hong@zs-hospital.sh.cn. 5. State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Centre of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 6. Department of Ultrasound, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. wang.wenping@zs-hospital.sh.cn. 7. Shanghai Institute of Medical Imaging, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. wang.wenping@zs-hospital.sh.cn.
Abstract
OBJECTIVES: This study sought to develop a clinical nomogram for predicting post-hepatectomy liver failure (PHLF) among patients with resectable hepatocellular carcinoma (HCC). METHODS: The nomogram was established based on data obtained from a prospective study on 136 consecutive patients with resectable HCC undergoing hepatectomy from January 2015 to December 2015 in our centre. Another 80 patients in our centre served as an independent internal validation set. The predictive accuracy and discriminative ability of the nomogram were determined by concordance index (C-index), calibration curve and compared with commonly predictive systems. RESULTS: PHLF occurred in 30.9% of patients in the derivation set, including 36 and six patients with Grades A and B, respectively. The statistical nomogram built on the basis of platelet count, serum bilirubin, serum GGT, clinical signs of portal hypertension and shear wave elastography had good calibration and discriminatory abilities, with C-indices of 0.85. These models showed satisfactory goodness-of-fit and discrimination abilities in the independent validation set with C-indices of 0.824 for PHLF. The areas under the receiver-operator characteristic (ROC) curve using our methods were greater than those of conventional predictive systems in the validation patients (corresponding C-indices, 0.572-0.701). CONCLUSIONS: This novel nomogram provides good preoperative prediction of PHLF in patients with resectable HCC. KEY POINTS: • The nomogram was built by platelet count, bilirubin, GGT, CSPH and SWE. • The nomogram showed good calibration and discriminatory abilities in the different sets. • Compared with other models, the nomogram indicated better discriminatory capability.
OBJECTIVES: This study sought to develop a clinical nomogram for predicting post-hepatectomy liver failure (PHLF) among patients with resectable hepatocellular carcinoma (HCC). METHODS: The nomogram was established based on data obtained from a prospective study on 136 consecutive patients with resectable HCC undergoing hepatectomy from January 2015 to December 2015 in our centre. Another 80 patients in our centre served as an independent internal validation set. The predictive accuracy and discriminative ability of the nomogram were determined by concordance index (C-index), calibration curve and compared with commonly predictive systems. RESULTS: PHLF occurred in 30.9% of patients in the derivation set, including 36 and six patients with Grades A and B, respectively. The statistical nomogram built on the basis of platelet count, serum bilirubin, serum GGT, clinical signs of portal hypertension and shear wave elastography had good calibration and discriminatory abilities, with C-indices of 0.85. These models showed satisfactory goodness-of-fit and discrimination abilities in the independent validation set with C-indices of 0.824 for PHLF. The areas under the receiver-operator characteristic (ROC) curve using our methods were greater than those of conventional predictive systems in the validation patients (corresponding C-indices, 0.572-0.701). CONCLUSIONS: This novel nomogram provides good preoperative prediction of PHLF in patients with resectable HCC. KEY POINTS: • The nomogram was built by platelet count, bilirubin, GGT, CSPH and SWE. • The nomogram showed good calibration and discriminatory abilities in the different sets. • Compared with other models, the nomogram indicated better discriminatory capability.
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