乙型肝炎肝硬化上消化道出血的ΔCT特征性表现及预测模型的建立

李俊杰; 孙岩岩; 李将宏; 郑虹

doi:10.3969/j.issn.1001-5256.2022.05.020

乙型肝炎肝硬化上消化道出血的ΔCT特征性表现及预测模型的建立

DOI: 10.3969/j.issn.1001-5256.2022.05.020

天津医科大学一中心临床学院，天津市第一中心医院器官移植科，天津 300192

基金项目:

国家自然科学基金 (81870444)

伦理学声明：本研究方案于2021年12月29日经由天津市第一中心医院伦理委员会审批，批号：2021N154KY。所有患者均知情同意。

利益冲突声明：本研究不存在研究者、伦理委员会成员、受试者监护人以及与公开研究成果有关的利益冲突。

作者贡献声明：李俊杰负责课题设计，资料分析，撰写论文；孙岩岩、李将宏参与收集数据，修改论文；郑虹负责拟定写作思路，指导撰写文章并最后定稿。

详细信息

通信作者:
郑虹, zhenghongxy@163.com

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出版历程
- 收稿日期: 2022-02-21
- 录用日期: 2022-03-26
- 出版日期: 2022-05-20

Characteristic manifestations of ΔCT in hepatitis B cirrhosis with upper gastrointestinal bleeding and establishment of a predictive model

Tianjin First Central Hospital; Department of Liver Transplantation, The First Central Clinical College of Tianjin Medical University, Tianjin 300192, China

Research funding:

National Natural Science Foundation of China (81870444)

More Information

Corresponding author: ZHENG Hong, zhenghongxy@163.com(ORCID: 0000-0001-8318-3372)

摘要

摘要: 目的本研究旨在寻找乙型肝炎肝硬化CT特征，建立肝硬化上消化道出血预测模型，预测出血风险。方法回顾性分析2015年1月—2021年6月天津市第一中心医院101例型肝炎肝硬化患者的数据，将其分为上消化道出血组(P=58)及非出血组(n=43)。比较两组间实验室检查以及强化CT检查测的平扫期、动脉期、门脉期以及静脉期的CT值，并计算各期间CT值的变化(ΔCT)。计量资料两组间的比较使用t检验或Mann-Whitney U检验；使用logistic回归分析方法，预测相关危险因素；通过计算受试者工作特征曲线下的面积评估模型辨别力，而模型校准则通过Hosmer-Lemeshow确定。在多变量logistic回归分析结果的基础上，使用Rstudio4.1.2软件的R包构建预测的列线图模型，并绘制相应的ROC曲线、校准曲线以及临床决策曲线。结果非出血组血清TBil、WBC、PLT水平与出血组比较，差异均有统计学意义(P值均＜0.05)；两组在肝-Plain、脾-P-Plain、脾-P-A ΔCT值存在统计学差异(P值均＜0.05)。单因素logistic分析结果显示，白细胞(OR=0.770，95%CI：0.624~0952, P=0.016)、血小板(OR=0.979，95%CI：0.965~0.994, P=0.006)、肝脏平扫期(OR=1.142，95%CI：1.058~1.233, P=0.001)、脾脏门脉期－平扫ΔCT值(OR=0.979，95%CI：0.959~1.000, P=0.050)、脾脏门脉期－动脉期ΔCT值(OR=0.979，95%CI：0.944~0.994, P=0.015)在乙型肝炎肝硬化患者发生上消化道出血与未出血两者之间差异具有统计学意义。多因素logistic分析结果显示血小板(OR=0.968，95%CI：0.944~0.993, P=0.011)、肝脏平扫期(OR=1.148，95%CI：1.047~1.259, P=0.003)、脾脏门脉期－动脉期ΔCT值(OR=0.951，95%CI：0.908~0.995, P=0.030)为上消化道出血的独立危险因素。基于多因素logistic分析结果，构建了乙型肝炎肝硬化上消化道出血的预测模型并绘制校准曲线。该模型的受试者特征曲线下面积为0.801，cut-off值为0.433，其对应的敏感度是81.4%，特异度是77.6%。模型的校准曲线与理想曲线贴合良好。结论乙型肝炎肝硬化肝脏具有特殊的ΔCT变化，通过ΔCT构建的预测模型对于乙型肝炎肝硬化上消化道出血具有良好的预测能力。
- 乙型肝炎 /
- 肝硬化 /
- CT值
Abstract: Objective To investigate the CT characteristics of hepatitis B cirrhosis, and to predict the risk of bleeding by establishing a predictive model for upper gastrointestinal bleeding in liver cirrhosis. Methods A retrospective analysis was performed for the clinical data of 101 patients with hepatitis B cirrhosis who were admitted to Tianjin First Central Hospital from January 2015 to June 2021, and these patients were divided into upper gastrointestinal bleeding group and non- bleeding group. The two groups were compared in terms of laboratory findings and CT values in plain scan, arterial phase, portal vein phase, and venous phase measured by contrast-enhanced CT, and the changes in CT values (ΔCT) across different phases were calculated. The t-test or the Mann-Whitney U rank sum test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. Logistic regression analysis was used to predict the related risk factors; The discrimination of the model was evaluated by calculating the area under the working characteristic curve of the subjects, and the model calibration criteria were determined by Hosmer-lemeshow. Based on the results of multivariate logistic regression analysis, Rstudio4.1.2 R package was used to establish a predictive model, and draws the corresponding ROC curve, calibration curve and clinical decision curve. Results There were significant differences in serum TBil, WBC and PLT levels between the non-bleeding group and the bleeding group (all P < 0.05). There were significant differences in liver-plain, spleen-P-plain and spleen-P-A ΔCT(all P < 0.05). The univariate logistic analysis showed that there were significant differences in leukocytes (odds ratio [OR]=0.770, 95% confidence interval [CI]: 0.624-0.952, P=0.016), platelets (OR=0.979, 95%CI: 0.965-0.994, P=0.006), liver plain scan (OR=1.142, 95%CI: 1.058-1.233, P=0.001), ΔCT value of the spleen from portal vein phase to plain scan (OR=0.979, 95%CI: 0.959-1.000, P=0.050), and ΔCT value of the spleen from portal vein phase to arterial phase (OR=0.979, 95% CI: 0.944-0.994, P=0.015) between the hepatitis B cirrhosis patients with upper gastrointestinal bleeding and those without bleeding. The multivariate logistic analysis showed that platelets (OR=0.968, 95%CI: 0.944-0.993, P=0.011), liver plain phase (OR=1.148, 95%CI: 1.047-1.259, P=0.003), and ΔCT value of the spleen from portal vein phase to arterial phase (OR=0.951, 95%CI: 0.908-0.995, P=0.030) were independent risk factors for upper gastrointestinal bleeding. A predictive model for upper gastrointestinal bleeding in hepatitis B cirrhosis was established based on the results of the multivariate logistic analysis, and a calibration curve was plotted. This model had an area under the receiver operating characteristic curve of 0.801 at the cut-off value of 0.433, with a sensitivity of 81.4% and a specificity of 77.6%. The calibration curve of the model fitted well with the ideal curve. Conclusion There are special ΔCT changes in hepatitis B cirrhosis, and the predictive model based on ΔCT has a good predictive ability for upper gastrointestinal bleeding in patients with hepatitis B cirrhosis.
- Hepatitis B /
- Liver Cirrhosis /
- CT value

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图 1 用于预测乙型肝炎肝硬化患者发生上消化道出血的列线图

注：为了使用列线图，单个患者的值位于每个变量轴上，并向上绘制一条线以确定每个变量值接收到的点数。这些数字的总和位于总点轴上，并向下画一条线到概率轴以预测发生上消化道出血的可能性。

Figure 1. Nomogram for predicting upper gastrointestinal bleeding in patients with hepatitis B cirrhosis

下载: 全尺寸图片幻灯片

图 2 模型的ROC曲线以及校准曲线

注：a, 列线图的ROC曲线; b, 预测模型的校准曲线。

Figure 2. ROC curve and calibration curve of the model

下载: 全尺寸图片幻灯片

图 3 临床决策曲线

注：灰色实线, 治疗所有患者的净收益; 黑色实线, 不治疗患者的净收益; 红线, 根据构建的列线图做出临床决策给患者带来的净收益。

Figure 3. Clinical decision curve

下载: 全尺寸图片幻灯片

表 1 合并上消化道出血与无上消化道出血两组间各项实验室检查指标

Table 1. The difference of laboratory examination between the two groups with and without upper gastrointestinal bleeding

项目	非出血组(n=43)	出血组(n=58)	Z值	P值
TBil(μmol/L)	43.20(21.93~109.54)	27.74(18.88~56.63)	-2.284	0.022
Cr(μmol/L)	62.00(52.00~86.00)	64.96(58.57~75.25)	-0.289	0.773
INR	1.54(1.36~2.06)	1.49(1.28~1.78)	-1.202	0.229
WBC(×10⁹/L)	3.93(2.68~5.57)	2.80(1.95~3.60)	-3.197	0.001
PLT(×10⁹/L)	70.00(51.00~92.00)	52.50(37.00~77.00)	-2.865	0.004

下载: 导出CSV

表 2 出血组与非出血组间肝脏及脾脏ΔCT的变化情况

Table 2. The difference of ΔCT of liver and spleen between the two groups with and without upper gastrointestinal bleeding

项目	非出血组(n=43)	出血组(n=58)	统计值	P值
肝-Plain	51.70±6.77	56.28±5.13	t=-3.870	＜0.001
肝-A	62.28±6.84	64.88±6.34	t=-1.971	0.052
肝-P	85.67±13.83	86.48±11.23	t=-0.324	0.747
肝-V	92.88±12.19	94.19±12.19	t=-0.532	0.596
肝-A-Plain	9.00(8.00~15.00)	9.00(4.00~12.00)	Z=-1.848	0.065
肝-P-Plain	30.00(27.00~41.00)	30.00(21.75~37.25)	Z=-1.395	0.163
肝-V-Plain	41.19±11.37	37.91±10.64	t=1.484	0.141
肝-P-A	20.00(16.00~30.00)	21.00(15.00~27.00)	Z=-0.426	0.670
肝-V-A	30.60±12.20	29.31±10.82	t=0.563	0.575
肝-V-P	7.21±8.23	7.71±9.22	t=-0.281	0.780
脾-Plain	45.00±3.16	46.02±3.05	t=-1.634	0.105
脾-A	81.00(71.00~90.00)	82.50(73.00~93.25)	Z=-0.722	0.470
脾-P	116.81±23.81	110.07±16.44	t=1.684	0.095
脾-V	105.81±17.73	103.16±14.02	t=0.836	0.405
脾-A-Plain	37.09±14.02	38.00±14.01	t=-0.322	0.748
脾-P-Plain	71.81±22.58	64.05±16.43	t=2.012	0.047
脾-V-Plain	60.81±16.80	57.14±14.15	t=1.192	0.236
脾-P-A	34.72±16.39	26.05±17.00	t=2.577	0.011
脾-V-A	23.72±13.16	19.14±17.50	t=1.441	0.153
脾-V-P	-9.00(-17.00~-4.00)	-8.00(-11.00~-2.75)	Z=-1.836	0.066

下载: 导出CSV

表 3 上消化道出血单因素和多因素的logistic分析结果

Table 3. Univariate and multivariate logistic analysis of upper gastrointestinal bleeding

参数	单因素分析			多因素分析
参数	OR值	95%CI	P值	OR值	95%CI	P值
WBC	0.770	0.624~0.952	0.016
PLT	0.979	0.965~0.994	0.006	0.968	0.944~0.993	0.011
肝-Plain	1.142	1.058~1.233	0.001	1.148	1.047~1.259	0.003
脾-V-Plain	0.979	0.959~1.000	0.050
脾-P-A	0.968	0.944~0.994	0.015	0.951	0.908~0.995	0.030

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参考文献(9)

[1]	ROSE CF, AMODIO P, BAJAJ JS, et al. Hepatic encephalopathy: Novel insights into classification, pathophysiology and therapy[J]. J Hepatol, 2020, 73(6): 1526-1547. DOI: 10.1016/j.jhep.2020.07.013.
[2]	DING HG, ZHANG SB, LI L, et al. Endoscopic diagnosis and treatment of esophageal and gastric varices in patients with liver cirrhosis: From guidelines to clinical practice[J]. J Clin Hepatol, 2017, 33(3): 454-457. DOI: 10.3969/j.issn.1001-5256.2017.03.011. 丁惠国, 张世斌, 李磊, 等. 肝硬化食管胃底静脉曲张的内镜诊断治疗——从指南到临床实践[J]. 临床肝胆病杂志, 2017, 33(3): 454-457. DOI: 10.3969/j.issn.1001-5256.2017.03.011.
[3]	TIAN XG, ZHANG CQ. Therapeutic strategy for gastroesophageal variceal bleeding of portal hypertension[J]. J Clin Hepatol, 2015, 31(3): 354-356. DOI: 10.3969/j.issn.1001-5256.2015.03.009 田相国, 张春清. 门静脉高压并食管胃底静脉曲张出血的治疗策略[J]. 临床肝胆病杂志, 2015, 31(3): 354-356. DOI: 10.3969/j.issn.1001-5256.2015.03.009.
[4]	NAGAYAMA Y, KATO Y, INOUE T, et al. Liver fibrosis assessment with multiphasic dual-energy CT: Diagnostic performance of iodine uptake parameters[J]. Eur Radiol, 2021, 31(8): 5779-5790. DOI: 10.1007/s00330-021-07706-2.
[5]	Chinese Society of Hepatology and Chinese Society of Infectious Diseases, Chinese Medical Association. The guideline of prevention and treatment for chronic hepatitis B: a 2015 update[J]. J Clin Hepatol, 2015, 31(12): 1941-1960. DOI: 10.3969/j.issn.1001-5256.2015.12.002 中华医学会肝病学分会, 中华医学会感染病学分会. 慢性乙型肝炎防治指南(2015年更新版)[J]. 临床肝胆病杂志, 2015, 31(12): 1941-1960. DOI: 10.3969/j.issn.1001-5256.2015.12.002.
[6]	ZHANG X, LI XC, LIN DZ. Clinical efficacy of octreotide combined with entecavir in the treatment of elderly liver cirrhosis complicated with upper gastrointestinal bleeding and its effect on blood transfusion volume and hemostasis time[J]. Chin J Gerontol, 2021, 41(12): 2526-2528. DOI: 10.3969/j.issn.1005-9202.2021.12.020. 张旭, 黎学聪, 林道壮. 奥曲肽联合恩替卡韦治疗老年肝硬化合并上消化道出血的临床疗效及对输血量、止血时间的影响[J]. 中国老年学杂志, 2021, 41(12): 2526-2528. DOI: 10.3969/j.issn.1005-9202.2021.12.020.
[7]	YAN SP, WU H, WANG GC, et al. A new model combining the liver/spleen volume ratio and classification of varices predicts HVPG in hepatitis B patients with cirrhosis[J]. Eur J Gastroenterol Hepatol, 2015, 27(3): 335-343. DOI: 10.1097/MEG.0000000000000269.
[8]	YANG LB, XU JY, TANTAI XX, et al. Non-invasive prediction model for high-risk esophageal varices in the Chinese population[J]. World J Gastroenterol, 2020, 26(21): 2839-2851. DOI: 10.3748/wjg.v26.i21.2839.
[9]	GAO YJ, GAO ZL, SUN WJ, et al. Quantitative assessment of hepatic and splenic blood flow status in patients with hypersplenism of different degrees based on multi-slice spiral CT whole-liver perfusion imaging[J]. Chin J Heptol, 2020, 28(4): 326-331. DOI: 10.3760/cma.j.cn501113-20190518-00174. 高雨佳, 高知玲, 孙文杰, 等. 多层螺旋CT全肝灌注成像对不同程度脾功能亢进患者肝脾血流状态的评估[J]. 中华肝脏病杂志, 2020, 28(4): 326-331. DOI: 10.3760/cma.j.cn501113-20190518-00174.