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ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 37 Issue 11
Nov.  2021
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Article Navigation >  Journal of Clinical Hepatology  > 2021  >  37(11): 2626-2631

Establishment and evaluation of a nomogram for predicting post-hepatectomy complications in two types of hepatic echinococcosis

DOI: 10.3969/j.issn.1001-5256.2021.11.027

  • Qinghai Province Key Laboratory of Hydatid Disease Research, Department of Hepatopancreatobiliary Surgery, Qinghai University Affiliated Hospital, Xining 810001, China

Research funding:

National Key Research and Development Program (2017YFC0909900);

Qinghai Science and Technology Department Project (2020-ZJ-Y01);

2018 Qinghai Province Health System Guiding Plan Project (2018-wjzdx-118)

  • Received Date: 2021-03-06
  • Accepted Date: 2021-03-29
  • Published Date: 2021-11-20
    Abstract
  •   Objective  To establish a nomogram for predicting the risk of post-hepatectomy complications (PHC) in hepatic echinococcosis by analyzing the risk factors for PHC in two types of hepatic echinococcosis, and to investigate its value in clinical practice.  Methods  A retrospective analysis was performed for the clinical data of 263 patients with two types of hepatic echinococcosis who underwent hepatectomy in Qinghai University Affiliated Hospital from January 2015 to August 2020, and among these patients, 93 were enrolled as PHC group and 170 were enrolled as control group. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups, and the independent samples t-test was used for comparison of normally distributed continuous data between two groups; the chi-square test and the Fisher's exact test were used for comparison of categorical data between two groups. Univariate and multivariate logistic regression analyses were used to screen out independent risk factors for PHC, and a nomogram risk prediction model was established based on the weight of each independent risk factor. The Bootstrap resampling method was used for internal verification of the model; the receiver operating characteristic (ROC) curve was plotted to evaluate the discriminatory ability of the model; calibration curve and the Hosmer-Lemeshow test were used to evaluate the consistency of the model; decision curve analysis (DCA) was performed to verify the clinical effectiveness of the model.  Results  Albumin-bilirubin (ALBI) score (odds ratio [OR]=3.694, 95% confidence interval [CI]: 1.860-7.336, P < 0.05), time of operation (OR=2.848, 95%CI: 1.384-5.859, P < 0.05), intraoperative blood loss (OR=4.832, 95%CI: 2.384-9.793, P < 0.05), and hydatid diameter (OR=3.073, 95%CI: 1.528-6.177, P < 0.05) were independent risk factors for PHC in two types of hepatic echinococcosis. A nomogram risk prediction model was established based on the weight of the above four independent risk factors, and the model had an area under the ROC curve of 0.877 (95%CI: 0.831-0.923). The model had a consistency index of 0.871 after internal verification using the Bootstrap resampling method, suggesting that the model had good discriminatory ability. The fitting of the observed value and the actual value of the calibration curve and the Hosmer-Lemeshow test (P=0.905) showed that the predicted value of the nomogram risk prediction model had good consistency with the actual observed value. When the threshold probability was 35.6%, DCA showed a net clinical benefit of 22%, and the model had good clinical applicability within the threshold probability ranging from 8% to 89%.  Conclusion  ALBI score, time of operation, intraoperative blood loss, and hydatid diameter are independent risk factors for PHC in patients with two types of hepatic echinococcosis, and the nomogram risk prediction model established based on these factors has good accuracy, consistency, and clinical practicability.

     

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