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中华消化病与影像杂志(电子版) ›› 2024, Vol. 14 ›› Issue (04) : 336 -342. doi: 10.3877/cma.j.issn.2095-2015.2024.04.010

论著

肝硬化合并静脉曲张出血患者内镜治疗后再出血风险的模型建立与验证
刘燚隆1, 党荣广2, 艾蓉3, 张凯2,()   
  1. 1. 050000 石家庄市人民医院病案科
    2. 050000 石家庄市人民医院肿瘤一科
    3. 050000 石家庄市人民医院消化内三科
  • 收稿日期:2024-02-26 出版日期:2024-08-01
  • 通信作者: 张凯

Establishment and validation of a model for the risk of rebleeding after endoscopic treatment in patients with cirrhosis and variceal bleeding

Yilong Liu1, Rongguang Dang2, Rong Ai3, Kai Zhang2,()   

  1. 1. Department of Medical Record, Shijiazhuang People's Hospital, Shijiazhuang 050000, China
    2. First Department of Oncology, Shijiazhuang People's Hospital, Shijiazhuang 050000, China
    3. Third Department of Gastroenterology, Shijiazhuang People's Hospital, Shijiazhuang 050000, China
  • Received:2024-02-26 Published:2024-08-01
  • Corresponding author: Kai Zhang
引用本文:

刘燚隆, 党荣广, 艾蓉, 张凯. 肝硬化合并静脉曲张出血患者内镜治疗后再出血风险的模型建立与验证[J/OL]. 中华消化病与影像杂志(电子版), 2024, 14(04): 336-342.

Yilong Liu, Rongguang Dang, Rong Ai, Kai Zhang. Establishment and validation of a model for the risk of rebleeding after endoscopic treatment in patients with cirrhosis and variceal bleeding[J/OL]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2024, 14(04): 336-342.

目的

探讨肝硬化合并食管胃静脉曲张出血患者内镜治疗后再出血风险的相关危险因素,构建并验证列线图模型价值。

方法

采用回顾性分析方法,选取2022年1月至2023年1月在石家庄市人民医院治疗的肝硬化合并静脉曲张出血接受内镜治疗患者,将所有患者随机分为训练集和验证集,采用多因素logistic回归模型分析发生再出血的危险因素,在危险因素的基础上建立列线图预测模型。采用受试者工作特征曲线(ROC曲线)、Hosmer-Lemeshow检验和决策曲线分析对列线图模型进行验证。

结果

研究共纳入肝硬化合并食管胃静脉曲张出血内镜治疗患者153例,有38例(25.49%)发生再次出血。单因素分析结果显示体重指数(BMI)、肝硬度、门静脉直径、血红蛋白、血小板计数、谷氨酰转移酶(GGT)、Child-Pugh分级、终末期肝病评估模型(MELD)评分是影响肝硬化合并食管胃静脉曲张出血内镜治疗患者再出血的因素,差异具有统计学意义(P<0.05)。多因素logistic回归分析显示BMI、肝硬度、血红蛋白、血小板计数、MELD评分是肝硬化合并食管胃静脉曲张出血内镜治疗患者再出血的危险因素,差异有统计学意义(P<0.05)。基于上述危险因素构建线段式列线图模型,各因素赋分,其中总分为-4~4,对应的风险率范围为0.02~0.97,分值越高预测肝硬化合并食管胃静脉曲张出血内镜治疗患者再出血风险越大。训练集模型ROC曲线下面积为0.873(95% CI 0.807~0.939),验证集ROC曲线下面积为0.772(95% CI 0.584~0.959)。训练集和验证集校准曲线经Hosmer-Lemeshow检验结果提示,校正曲线趋近于理想曲线,无明显差异(χ2=3.231、2.397,P=0.919、0.934)。临床决策曲线分析显示,该模型具有临床实用性。

结论

本研究构建并验证了肝硬化合并食管胃静脉曲张出血患者内镜治疗后再出血风险的列线图模型,具有较好的准确性、校准度以及临床实用性。

Objective

To explore the relevant risk factors for rebleeding after endoscopic treatment in patients with liver cirrhosis complicated with esophageal and gastric variceal bleeding, and to construct and validate the value of a nomogram model.

Method

s A retrospective analysis method was used to select patients with cirrhosis complicated with variceal bleeding who received endoscopic treatment in Shijiazhuang People's Hospital from January 2022 to January 2023. All patients were randomly divided into a training set and a validation set. A multivariate logistic regression model was used to analyze the risk factors for recurrent bleeding, and a nomogram prediction model was established based on the risk factors. The nomogram model was verified using receiver operating characteristic curve (ROC curve), Hosmer-Lemeshow test, and decision curve analysis.

Results

A total of 153 patients with cirrhosis combined with esophageal and gastric variceal bleeding who underwent endoscopic treatment were included in this study, of which 38 cases (25.49%) experienced recurrent bleeding. The results of univariate analysis showed that body mass index (BMI), liver hardness, portal vein diameter, hemoglobin, platelet count, glutamyltransferase (GGT), Child Pugh grading, and model for end-stage liver disease (MELD) score were the factors affecting rebleeding in patients with liver cirrhosis complicated with esophageal and gastric variceal bleeding treated with endoscopy, and there were statistically significant differences (P<0.05). Multivariate logistic regression analysis showed that BMI, liver hardness, hemoglobin, platelet count, and MELD score were risk factors for rebleeding in patients with liver cirrhosis complicated with esophageal and gastric variceal bleeding treated with endoscopy, and there were statistically significant differences (P<0.05). Based on the above risk factors, a line segment nomogram model was constructed, with scores assigned to each factor. The total score was -4 to 4, and the corresponding risk rate range was 0.02 to 0.97. The higher the score, the greater the risk of rebleeding in patients with liver cirrhosis combined with esophageal and gastric variceal bleeding who undergo endoscopic treatment. The area under the ROC curve of the training set model was 0.873 (95% CI: 0.807-0.939), and the area under the ROC curve of the validation set was 0.772 (95% CI: 0.584-0.959). The results of the Hosmer-Lemeshow test on the calibration curves of the training and validation sets indicated that the calibration curves approached the ideal curve without significant differences (χ2=3.231, 2.397, P=0.919, 0.934). Clinical decision curve analysis shows that the model had clinical practicality.

Conclusion

A nomogram model for the risk of rebleeding in patients with liver cirrhosis complicated with esophageal and gastric variceal bleeding after endoscopic treatment is constructed and validated, which has good accuracy, calibration, and clinical practicality.

图1 患者入组筛查流程图
图2 肝硬化合并食管胃静脉曲张出血内镜治疗患者再出血发生率
表1 训练集和验证集资料对比
临床资料 训练集(122例) 验证集(31例) 统计值 P
年龄(岁,±s) 52.47±9.80 51.02±10.11 0.731 0.466
性别(男/女,例) 75/47 19/12 0.000 0.985
BMI(kg/m2,±s) 21.86±2.47 22.15±2.25 -0.594 0.553
肝硬度(kPa,±s) 14.43±2.16 14.26±2.18 0.391 0.697
门静脉直径(cm,±s) 1.55±0.25 1.57±0.22 -0.407 0.685
门静脉血栓[例(%)] 15(12.30) 4(12.90) 0.320 0.572
血红蛋白(g/L,±s) 100.68±25.42 101.57±24.43 -0.175 0.861
白细胞计数(109/L,±s) 4.37±0.55 4.23±0.52 1.279 0.203
血小板计数(109/L,±s) 93.46±32.27 101.36±33.96 -1.204 0.230
PT(s,±s) 14.22±0.31 14.21±0.26 0.165 0.869
白蛋白(g/L,±s) 35.52±6.25 35.47±5.80 0.040 0.968
总胆红素[μmol/L,M(P25,P75)] 19.22(12.83,28.39) 20.15(13.36,28.83) -1.156 0.250
ALT[U/L,M(P25,P75)] 24.50(16.00,41.50) 25.00(17.00,43.50) -0.621 0.535
AST[U/L,M(P25,P75)] 35.00(26.00,52.20) 34.00(23.00,49.00) 1.243 0.216
ALP[U/L,M(P25,P75)] 88.00(62.80,130.40) 89.00(64.10,134.20) -0.829 0.409
GGT[U/L,M(P25,P75)] 32.00(19.50,74.30) 34.50(20.20,81.50) -1.776 0.078
BUN[U/L,M(P25,P75)] 5.05(4.22,6.43) 5.00(4.12,6.35) 0.249 0.804
肌酐(μmol/L) 65.62(55.57,78.90) 65.44(55.82,77.22) 0.112 0.911
钠(mmol/L,±s) 137.48±5.82 137.68±6.38 -0.168 0.867
钾(mmol/L,±s) 3.88±0.51 3.95±0.62 -0.652 0.515
甘油三酯(mmol/L,±s) 0.95±0.06 0.93±0.07 1.601 0.112
胆固醇(mmol/L,±s) 3.50±0.89 3.52±0.65 -0.117 0.907
HDL(mmol/L,±s) 1.06±0.28 1.07±0.32 -0.172 0.863
LDL(mmol/L,±s) 1.96±0.35 1.98±0.43 -0.271 0.787
HBeAg阳性[例(%)] 14(11.48) 5(16.13) 0.492 0.482
Child-Pugh分级(A/B/C,例) 81/27/14 21/7/3 0.081 0.960
MELD评分(±s) 9.87±0.76 10.12±0.72 -1.652 0.101
再出血[例(%)] 34(27.87) 5(16.13) 1.179 0.180
表2 单因素和多因素logistic回归分析结果
图3 肝硬化合并食管胃静脉曲张出血内镜治疗患者再出血线段式列线图模型
图4 肝硬化合并食管胃静脉曲张出血内镜治疗患者再出血模型ROC曲线及校准曲线注:4A训练集ROC曲线;4B验证集ROC曲线;4C训练集校准曲线;4D验证集校准曲线。
图5 肝硬化合并食管胃静脉曲张出血内镜治疗患者再出血线段式列线图模型临床决策曲线注:5A训练集临床决策曲线;5B验证集临床决策曲线。
[1]
Lv Y, Wang Z, Li K, et al. Risk Stratification Based on Chronic Liver Failure Consortium Acute Decompensation Score in Patients With Child-Pugh B Cirrhosis and Acute Variceal Bleeding[J]. Hepatology, 2021, 73(4): 1478-1493.
[2]
Liu CH, Liu S, Zhao YB, et al. Development and validation of a nomogram for esophagogastric variceal bleeding in liver cirrhosis: A cohort study in 1099 cases[J]. J Dig Dis, 2022, 23(10): 597-609.
[3]
Hou Y, Yu H, Zhang Q, et al. Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients[J]. Diagn Pathol, 2023, 18(1): 29.
[4]
Zhong BY, Tang HH, Wang WS, et al. Performance of artificial intelligence for prognostic prediction with the albumin-bilirubin and platelet-albumin-bilirubin for cirrhotic patients with acute variceal bleeding undergoing early transjugular intrahepatic portosystemic shunt[J]. Eur J Gastroenterol Hepatol, 2021, 33(1): e153-e160.
[5]
Liu R, Sun Y, Xu K, et al. A Histogram Model to Predict the Risk of Bleeding from Oesophageal and Gastric Variceal Rupture in Cirrhosis[J]. J Coll Physicians Surg Pak, 2022, 32(5): 586-590.
[6]
Balcar L, Mandorfer M, Hernández-Gea V, et al. International Variceal Bleeding Observational Study Group by the Baveno Cooperation: an EASL consortium. Predicting survival in patients with 'non-high-risk' acute variceal bleeding receiving β-blockers+ ligation to prevent re-bleeding[J]. J Hepatol, 2024, 80(1): 73-81.
[7]
Rao C, Chen J, Wang W, et al. Computed tomography imaging features to evaluate the severity of portal hypertension and predict the rebleeding risk after endoscopic treatment in cirrhotic patients with variceal hemorrhage[J]. Eur J Radiol, 2023, 163(1): 110841.
[8]
de Franchis R, Baveno V Faculty. Revising consensus in portal hypertension: report of the Baveno V consensus workshop on methodology of diagnosis and therapy in portal hypertension[J]. J Hepatol, 2010, 53(4): 762-768.
[9]
Turco L, Reiberger T, Vitale G, et al. Carvedilol as the new non-selective beta-blocker of choice in patients with cirrhosis and portal hypertension[J]. Liver Int, 2023, 43(6): 1183-1194.
[10]
Redondo-Cerezo E, Ortega-Suazo EJ, Vadillo-Calles F, et al. Upper gastrointestinal bleeding in patients 80 years old and over. A comparison with younger patients and risk factors analysis for in-hospital and delayed mortality[J]. Int J Clin Pract, 2021, 75(11): e14806.
[11]
Premkumar M, Mehtani R, Kulkarni AV, et al. Association of Heparin-Like Effect, Factor VII/XIII Deficiency and Fibrinolysis with Rebleeding Risk in Cirrhosis with Acute Variceal Bleeding[J]. Dig Dis Sci, 2023, 68(2): 497-513.
[12]
Chirapongsathorn S, Akkarachinores K, Chaiprasert A. Development and validation of prognostic model to predict mortality among cirrhotic patients with acute variceal bleeding: A retrospective study[J]. JGH Open, 2021, 5(6): 658-663.
[13]
Biswas S, Vaishnav M, Pathak P, et al. Effect of thrombocytopenia and platelet transfusion on outcomes of acute variceal bleeding in patients with chronic liver disease.[J]. World J Hepatol, 2022, 14(7): 1421-1437.
[14]
杨帆, 张小娟, 李丹, 等. 胃镜下硬化术联合组织胶注射术治疗乙型肝炎肝硬化并发食管胃静脉曲张破裂出血患者1年再出血危险因素分析[J]. 实用肝脏病杂志, 2023, 26(6): 875-878.
[15]
郝欣, 刘小双, 刘伟, 等. 超声内镜参数联合临床资料构建的列线图预测食管胃底静脉曲张治疗后再出血的价值[J]. 临床超声医学杂志, 2023, 25(12): 977-981.
[16]
Walter A, Rudler M, Olivas P, et al. Combination of Model for End-Stage Liver Disease and Lactate Predicts Death in Patients Treated With Salvage Transjugular Intrahepatic Portosystemic Shunt for Refractory Variceal Bleeding.[J]. Hepatology, 2021, 74(4): 2085-2101.
[17]
Pfisterer N, Unger LW, Reiberger T. Clinical algorithms for the prevention of variceal bleeding and rebleeding in patients with liver cirrhosis[J]. World J Hepatol, 2021, 13(7): 731-746.
[18]
Zuckerman MJ, Elhanafi S, Mendoza Ladd A. Endoscopic Treatment of Esophageal Varices.[J]. Clin Liver Dis, 2022, 26(1): 21-37.
[19]
Lesmana CRA, Raharjo M, Gani RA. Managing liver cirrhotic complications: Overview of esophageal and gastric varices[J]. Clin Mol Hepatol, 2020, 26(4): 444-460.
[20]
Wu LF, Xiang XX, Bai DS, et al. Novel noninvasive liver fibrotic markers to predict postoperative re-bleeding after laparoscopic splenectomy and azygoportal disconnection: a 1-year prospective study[J]. Surg Endosc, 2021, 35(11): 6158-6165.
[21]
蒋雪婷, 王煜, 汪健, 等. 血清学指标预测乙肝肝硬化患者食管胃底静脉曲张内镜治疗后再出血的临床价值[J]. 现代消化及介入诊疗, 2022, 27(5): 624-628.
[22]
Ji K, Li X, Zhu H, et al. A creatinine-based model for predicting recurrent bleeding after modified percutaneous transhepatic variceal embolization in patients with cirrhosis[J]. J Interv Med, 2022, 5(2): 95-102.
[23]
Wang X, Han H, Yang J, et al. Liver stiffness-spleen diameter to platelet ratio score(LSPS model) predicts variceal rebleeding for cirrhotic patients[J]. Eur J Gastroenterol Hepatol, 2023, 35(4): 488-496.
[24]
Liu L, Nie Y, Liu Q, et al. A Practical Model for Predicting Esophageal Variceal Rebleeding in Patients with Hepatitis B-Associated Cirrhosis[J]. Int J Clin Pract, 2023, 2023(1): 1-11.
[25]
Li F, Wang T, Liang J, et al. Albumin-bilirubin grade and INR for the prediction of esophagogastric variceal rebleeding after endoscopic treatment in cirrhosis[J]. Exp Ther Med, 2023, 26(5): 501.
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