Prediction of bleeding risk for gastroesophageal varices by CT/ultrasound-based noninvasive models

Zhengguo XU; En LIU; Yongbing ZHAO; Shiming YANG

doi:10.16016/j.1000-5404.201806160

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Prediction of bleeding risk for gastroesophageal varices by CT/ultrasound-based noninvasive models

更新时间：2026-01-09

- Prediction of bleeding risk for gastroesophageal varices by CT/ultrasound-based noninvasive models
- Journal of Third Military Medical University Vol. 40, Issue 21, Pages: 1978-1984(2018)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.16016/j.1000-5404.201806160
  CLC：
- Received：25 June 2018，
  
  Published：15 November 2018
- 稿件说明：
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Zhengguo XU, En LIU, Yongbing ZHAO, et al. Prediction of bleeding risk for gastroesophageal varices by CT/ultrasound-based noninvasive models[J]. Journal of Third Military Medical University, 2018, 40(21): 1978-1984.
DOI：

Zhengguo XU, En LIU, Yongbing ZHAO, et al. Prediction of bleeding risk for gastroesophageal varices by CT/ultrasound-based noninvasive models[J]. Journal of Third Military Medical University, 2018, 40(21): 1978-1984. DOI： 10.16016/j.1000-5404.201806160.

摘要

Abstract

Objective

To establish 2 noninvasive models based on laboratory serum indexes

enhanced CT or ultrasonographic parameters to predict hemorrhagic risk of gastroesophageal varices in the patients with post-hepatitis B cirrhosis in order to replace the invasive methods.

Methods

A total of 3 643 patients with hepatitis B cirrhosis admitted in our hospital between July 2010 and July 2017 were enrolled and retrospectively analyzed. Among them

there were 412 cases with complete data of gastroesophageal variceal hemorrhage and 340 cases with a clear diagnosis of cirrhosis

but no gastroesophageal varices. According to the propensity score analysis (PSA)

these patients were divided into the research group (varicose bleeding) and the control group (no varicose veins) at a ratio of 1 :1

and eventually

248 cases were included in each group

with a total of 496 cases. Two Logistic risk prediction models were established by using the dip matching method and SPSS 24.0 statistical software

and were further verified in 164 patients with variceal bleeding and 92 patients without varicose veins who were not enrolled in the study.

Results

Risk factors of esophageal and gastric variceal bleeding included total bilirubin (TBIL)

platelet (PLT)

red b cell count (RBC)

portal vein diameter

and spleen length and width. There were 2 risk pred

iction models established: model P1 based on the laboratory indicators combined with the abdominal ultrasound indicators

and model P2 based on the laboratory indicators combined with the abdominal CT indicators. The area under the ROC curve of the P1 model was 0.970 (0.956~0.985)

and the predicted area of the ROC was 0.938 (0.906~0.970) (

0.001). The area under the ROC curve of the P2 model was 0.967 (0.950~0.984)

and the predicted ROC area was 0.946 (0.916~0.975) (

0.001). The sensitivity and specificity of the 2 models for prediction and the overall prediction accuracy were all

90%

with sound stablity.

Conclusion

The 2 noninvasive models are of high accuracy in prediction of bleeding risk of gastroesophageal varices

and may modify or replace the invasive methods after further improvements.

关键词

Keywords

references

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