Zhi-Qiao Zhang1, Gong-Sui Wang1, Kai-Fu Kang2, Guo-Biao Wu2, Peng Wang3. 1. Department of Infectious Diseases, The Shunde First People's Hospital, Shunde, Guangdong, China. 2. Department of Pathology, The Shunde First People's Hospital, Shunde, Guangdong, China. 3. Department of Infectious Diseases, The Shunde First People's Hospital, Shunde, Guangdong, China. Electronic address: sdgrxjbk@163.com.
Abstract
AIM: To establish a simple economical diagnostic tool for prediction of hepatic steatosis in patients with hepatitis B virus (HBV) infection. METHODS: From January 2006 to January 2015,a total of 1325 consecutive subjects who underwent liver biopsy were enrolled. According to the results of multivariate logistic regression analysis, a new nomogram was conducted. Then discrimination and calibration were conducted to assess the clinical diagnostic value of nomogram. RESULTS: The nomogram consisted of age, triglyceride (TG), low-density lipoprotein (LDL), uric acid (UA), haemoglobin (HGB). For prediction of hepatic steatosis, the AUROC of nomogram was 0.792 (95%CI: 0.758-0.826). With cut off value of 0.11, 699 (52.8%) of 1325 patients could be free from liver biopsy with a correct rate of 95.3% for diagnosis of hepatic steatosis. CONCLUSION: The nomogram for hepatic steatosis has a better clinical diagnostic value for prediction of hepatic steatosis in patients with HBV infection. From the perspective of cost-effectiveness and clinical practice, it is worth considering the use of the nomogram as a mass screening tool before further liver biopsy or imaging examinations.
AIM: To establish a simple economical diagnostic tool for prediction of hepatic steatosis in patients with hepatitis B virus (HBV) infection. METHODS: From January 2006 to January 2015,a total of 1325 consecutive subjects who underwent liver biopsy were enrolled. According to the results of multivariate logistic regression analysis, a new nomogram was conducted. Then discrimination and calibration were conducted to assess the clinical diagnostic value of nomogram. RESULTS: The nomogram consisted of age, triglyceride (TG), low-density lipoprotein (LDL), uric acid (UA), haemoglobin (HGB). For prediction of hepatic steatosis, the AUROC of nomogram was 0.792 (95%CI: 0.758-0.826). With cut off value of 0.11, 699 (52.8%) of 1325 patients could be free from liver biopsy with a correct rate of 95.3% for diagnosis of hepatic steatosis. CONCLUSION: The nomogram for hepatic steatosis has a better clinical diagnostic value for prediction of hepatic steatosis in patients with HBV infection. From the perspective of cost-effectiveness and clinical practice, it is worth considering the use of the nomogram as a mass screening tool before further liver biopsy or imaging examinations.