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中华消化病与影像杂志(电子版) ›› 2026, Vol. 16 ›› Issue (05) : 395 -402. doi: 10.3877/cma.j.issn.2095-2015.2026.05.002

论著

内镜下溃疡特征联合血清白蛋白水平对消化性溃疡出血患者预后的预测价值
牛振楠, 张金, 路萌, 梁冬红†()   
  1. 054000 河北省,邢台市中心医院内镜室
  • 收稿日期:2026-01-28 出版日期:2026-10-01
  • 通信作者: 梁冬红
  • 基金资助:
    邢台市重点研发计划项目(2024ZC197)

Predictive value of endoscopic ulcer characteristics combined with serum albumin for prognosis in peptic ulcer bleeding

Zhennan Niu, Jin Zhang, Meng Lu, Donghong Liang†()   

  1. Endoscopy Room, Xingtai Central Hospital, Xingtai 054000, China
  • Received:2026-01-28 Published:2026-10-01
  • Corresponding author: Donghong Liang
引用本文:

牛振楠, 张金, 路萌, 梁冬红. 内镜下溃疡特征联合血清白蛋白水平对消化性溃疡出血患者预后的预测价值[J/OL]. 中华消化病与影像杂志(电子版), 2026, 16(05): 395-402.

Zhennan Niu, Jin Zhang, Meng Lu, Donghong Liang. Predictive value of endoscopic ulcer characteristics combined with serum albumin for prognosis in peptic ulcer bleeding[J/OL]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2026, 16(05): 395-402.

目的

探究内镜下溃疡特征联合血清白蛋白(ALB)水平检测对消化性溃疡出血(PUB)患者预后的预测价值。

方法

回顾性选取2023年5月至2025年5月邢台市中心医院收治的PUB患者210例为研究对象,均接受急诊内镜检查及内镜下止血治疗。根据患者30 d内的预后情况,将其分为预后不良组(n=54)和预后良好组(n=156)。比较两组的临床资料、内镜下溃疡特征(包括溃疡大小、位置、Forrest分级等)及血清ALB、尿素氮与肌酐比值(BUN/Cr)水平。采用logistic回归分析筛选出导致PUB患者预后不良的影响因素并构建相关模型,采用受试者工作特征(ROC)曲线分析各影响因素及联合预测模型对PUB患者预后不良的预测价值。

结果

预后不良组的SI、Forrest分级、最大溃疡直径、ALB、BUN/Cr差异有统计学意义(P<0.05)。SI高、Forrest分级为高危、溃疡最大直径>2 cm、ALB低、BUN/Cr高都是影响PUB患者预后不良的危险因素(P<0.05)。ROC曲线分析结果显示:SI、Forrest分级、溃疡最大直径、ALB、BUN/Cr、列线图预测模型的AUC分别为0.756、0.671、0.685、0.707、0.796、0.941,经过Delong分析,发现列线图预测模型的AUC最大,预测效能最佳(P<0.05),同时列线图预测模型的敏感度和特异度最高,分别为85.2%和87.8%。

结论

本研究构建整合了内镜下局部特征(Forrest高危分级、溃疡直径>2 cm)与全身性血清标志物(ALB),并纳入SI及BUN/Cr的列线图预测模型,能够有效甄别PUB后预后不良的高危患者。该模型实现了"局部-全身"风险维度的整合,其预测效能显著优于传统单一指标或仅依赖临床参数的评分系统,为临床早期分层干预提供了新思路。

Objective

To explore the predictive value of endoscopic ulcer characteristics combined with serum albumin (ALB) levels for the prognosis of patients with peptic ulcer bleeding (PUB).

Methods

A retrospective study was conducted on 210 PUB patients admitted to Xingtai Central Hospital from May 2023 to May 2025, all of whom underwent emergency endoscopic examination and endoscopic hemostasis treatment. According to the patient's prognosis within 30 days, they were divided into a poor prognosis group (n=54) and a good prognosis group (n=156). Clinical data, endoscopic ulcer characteristics (including ulcer size, location, and Forrest classification), serum ALB, and blood urea nitrogen-to-creatinine ratio (BUN/Cr) were compared between the two groups. Logistic regression analysis was used to identify influencing factors for poor prognosis in PUB patients, and a predictive model was constructed. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of each independent factor and the combined prediction model.

Results

There were statistically significant differences in SI, Forrest grading, maximum ulcer diameter, ALB, and BUN/Cr between the two groups (P<0.05). High SI, Forrest classification as high-risk, ulcer diameter >2 cm, low ALB, and high BUN/Cr were all risk factors affecting poor prognosis in PUB patients (P<0.05). The ROC curve analysis results showed that the area under the curve (AUC) of SI, Forrest grading, maximum ulcer diameter, ALB, BUN/Cr, and the nomogram prediction model were 0.756, 0.671, 0.685, 0.707, 0.796, and 0.941, respectively. Delong analysis revealed that the nomogram prediction model had the highest AUC and the best prediction performance (P<0.05). At the same time, the sensitivity and specificity of nomogram prediction model were the highest, which were 85.2% and 87.8% respectively.

Conclusion

The nomogram prediction model constructed in this study, which integrates endoscopic local features (Forrest high-risk grading, ulcer diameter >2 cm) and systemic serum biomarker (ALB), and incorporates SI and BUN/Cr, can effectively identify high-risk patients with poor prognosis after PUB. This model integrates the "local-systemic" risk dimension, and its predictive performance is significantly better than traditional single-index or scoring systems that rely solely on clinical parameters, providing a new approach for early stratified intervention in clinical practice.

表1 两组消化性溃疡出血患者的临床资料比较
临床资料   预后不良组(n=54) 预后良好组(n=156) t/χ2值 P值
年龄(岁,±s) 45.59±6.71 45.78±7.09 -0.171 0.864
性别[例(%)] 男 28(51.85) 80(51.28) 0.005 0.942
  女 26(48.15) 76(48.72)
体重指数(kg/m2,±s) 23.31±1.58 23.54±1.38 -1.026 0.306
高血压[例(%)] 有 16(29.63) 44(28.21) 0.040 0.842
  无 38(70.37) 112(71.79)
糖尿病[例(%)] 有 10(18.52) 32(20.51) 0.100 0.752
  无 44(81.48) 124(79.49)
肝硬化[例(%)] 有 6(11.11) 14(8.97) 0.213 0.645
  无 48(88.89) 142(91.03)
抗凝/抗血小板药物使用史[例(%)] 有 8(14.81) 20(12.82) 0.138 0.710
  无 46(85.19) 136(87.18)
非甾体抗炎药使用史[例(%)] 有 15(27.78) 38(24.36) 0.248 0.618
  无 39(72.22) 118(75.64)
幽门螺杆菌感染[例(%)] 有 22(40.74) 68(43.59) 0.133 0.715
  无 32(59.26) 88(56.41)
内镜下止血方式[例(%)] 钛夹 20(37.04) 64(41.03) 0.431 0.934
  注射 18(33.33) 52(33.33)
  电凝 10(18.52) 24(15.38)
  联合 6(11.11) 16(10.26)
收缩压(mmHg,±s) 108.30±12.50 110.36±11.85 -1.087 0.278
舒张压(mmHg,±s) 66.81±8.55 68.21±8.24 -1.058 0.291
心率(次/min,±s) 96.39±10.30 95.14±9.53 0.812 0.418
休克指数(±s) 1.16±0.37 0.83±0.30 6.389 <0.001
Forrest分级[例(%)] 高危 42(77.78) 68(43.59) 18.797 <0.001
  低危 12(22.22) 88(56.41)
溃疡最大直径[例(%)] >2 cm 38(70.37) 52(33.33) 22.469 <0.001
  ≤2 cm 16(29.63) 104(66.67)
溃疡位置[例(%)] 胃溃疡 30(55.56) 92(58.97) 0.207 0.902
  十二指肠球部溃疡 20(37.04) 54(34.62)
  复合型溃疡 4(7.40) 10(6.41)
白蛋白(g/L,±s) 28.50±4.47 32.11±4.99 -4.692 <0.001
血红蛋白(g/L,±s) 85.43±12.54 86.76±11.31 -0.729 0.467
尿素氮/肌酐(±s) 23.38±6.10 16.26±5.99 7.495 <0.001
表2 纳入自变量共线性诊断分析
表3 Logistic回归模型中自变量的赋值方式
表4 影响消化性溃疡出血患者预后不良的二元logistic回归分析
图1 影响消化性溃疡出血患者预后不良的独立危险因素列线图模型注:SI为休克指数;ALB为血清白蛋白;BUN/Cr为血尿素氮与肌酐比值
图2 列线图预测模型预测消化性溃疡出血患者预后不良的受试者工作特征曲线
图3 列线图预测模型预测消化性溃疡出血患者预后不良的校准曲线
图4 列线图预测模型预测消化性溃疡出血患者预后不良的决策曲线
表5 ROC分析多指标对消化性溃疡出血患者预后的预测效能
[1]
Mohammed MF, Gurunathan RK, Eltanikhy NN, et al. Clinical Profile, Endoscopic Findings, and Outcomes Among Inpatients With Upper Gastrointestinal Bleeding in a United Kingdom District General Hospital[J]. Cureus, 2025, 17(11): e97644.
[2]
Qiu J, Xia Y, Ouyang Q, et al. Forrest-type IIb increases the risk of rebleeding after endoscopic treatment in patients with Dieulafoy's lesion of the upper gastrointestinal tract[J]. Ann Med, 2025, 57(1): 2478645.
[3]
Masoudpour H, Wassef J, Saladziute S, et al. Surgical Therapy of Gastric Ulcer Disease[J]. Surg Clin North Am, 2025, 105(1): 173-186.
[4]
曹雯. 消化性溃疡并发上消化道出血的危险因素及预测模型构建[J]. 现代医学, 2024, 52(9): 1385-1390.
[5]
Wang F, Qi G, Guan X, et al. Risk factors and prediction model for rebleeding in grade IIb peptic ulcer patients after endoscopy[J]. Am J Transl Res, 2025, 17(3): 2124-2134.
[6]
Nasr Isfahani M, Fallah M, Adibi Sedeh P, et al. Predicting mortality and readmission in UGIB: a comparative study of rockall, glasgow-blatchford, and AIMS65 scores[J]. BMC Gastroenterol, 2025, 25(1): 727.
[7]
Zheng J, Zhang X, Zhang L, et al. Serum Albumin and Its Trajectory Are Associated With Therapeutic Outcomes in Ulcerative Colitis[J]. Clin Gastroenterol Hepatol, 2025, 23(10): 1808-1816.
[8]
Yildirim H, Kaya M, Cosgun S. Mortality prediction among ED patients with upper gastrointestinal bleeding: Comparison of NEWS-2 and conventional risk scores[J]. Am J Emerg Med, 2026, 101: 14-21.
[9]
曾丽丽, 王秀菊, 刘超, 等. 危险性急性上消化道出血患者不良预后的风险预警模型构建及验证[J]. 临床和实验医学杂志, 2024, 23(19): 2053-2057.
[10]
Fujishiro M, Iguchi M, Ono S, et al. Guidelines for endoscopic management of nonvariceal upper gastrointestinal bleeding(second edition)[J]. Dig Endosc, 2025, 37(5): 447-469.
[11]
Shin J, Cha B, Hong J, et al. Prevention of rebleeding after primary haemostasis using haemostatic powder in non-variceal upper gastrointestinal bleeding: a multicentre randomised controlled trial[J]. Gut, 2025, 74(11): 1821-1827.
[12]
Sreenivas A, Ramadurai S, Kumar S, et al. Comparison of the efficacy of platelet-albumin-bilirubin score vs. Child-Turcotte-Pugh, Model for End-Stage Liver Disease-Sodium, and complete Rockall score in predicting rebleed and mortality in patients presenting with variceal bleed[J]. Eur J Gastroenterol Hepatol, 2026, 38(2): 209-215.
[13]
Pathak R, Chandra P, Sachan N. Unravelling Peptic Ulcers: Comprehensive Insights into Etiology, Diagnosis, Screening Techniques, and Treatment [J]. Curr Pharm Des, 2025, 31(26): 2065-2084.
[14]
崔娴, 陆晓芳, 殷庆玲, 等. 休克指数与早期预警评分系统联合应用于急性消化道出血患者中的效果观察[J]. 中国急救复苏与灾害医学杂志, 2024, 19(3): 356-358.
[15]
Zhang YY, Zhang QX, Zhuang ZH, et al. Comparison of the Rockall Score and Revised Rockall Score for predicting outcomes in nonvariceal upper gastrointestinal bleeding[J]. Scand J Gastroenterol, 2025, 60(9): 879-888.
[16]
Erdoğan Ç, İnan B, Ateş İ, et al. Systemic Inflammation Response Index(SIRI) and Aggregate Index of Systemic Inflammation(AISI) as Predictors of Mortality in Patients with Upper Gastrointestinal Bleeding[J]. J Clin Med, 2026, 15(6): 2245.
[17]
He XJ, Wang XL, Su TK, et al. Artificial intelligence-assisted system for the assessment of Forrest classification of peptic ulcer bleeding: a multicenter diagnostic study[J]. Endoscopy, 2024, 56(5): 334-342.
[18]
王松, 单晶, 夏勇, 等. 消化道出血行内镜治疗后再出血影响因素分析及列线图预测模型构建[J]. 现代医学, 2023, 51(8): 1033-1042.
[19]
Peng YX, Chang WP. Risk factors for peptic ulcer bleeding one year after the initial episode[J]. Gut Pathog, 2024, 16(1): 71.
[20]
刘飞, 龚瑱昀, 蔡紫萱, 等. 内镜下干预对预防Forrest Ⅱb级溃疡再出血的临床价值[J]. 中国内镜杂志, 2024, 30(12): 36-42.
[21]
Deng F, Cao Y, Wang H, et al. Prognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study[J]. J Crit Care, 2025, 85: 154923.
[22]
Shin J, Cha B, Hong J, et al. Prevention of rebleeding after primary haemostasis using haemostatic powder in non-variceal upper gastrointestinal bleeding: a multicentre randomised controlled trial [J]. Gut, 2025, 74(11): 1821-1827.
[23]
Miao Y, Gu A, Yu G, et al. Technological integration in timing of endoscopy: Predictive modeling for acute upper gastrointestinal bleeding outcomes[J]. Technol Health Care, 2025, 33(4): 2026-2033.
[24]
戴天骄, 李静. 血小板-白蛋白-胆红素指数(PALBI)联合AIMS65评分对肝硬化并发急性上消化道出血患者短期预后的预测价值[J]. 临床肝胆病杂志, 2024, 40(2): 298-305.
[25]
Yu JH, Lee JW, Seo JY, et al. Factors influencing re-bleeding after trans-arterial embolization for endoscopically unmanageable peptic ulcer bleeding[J]. Scand J Gastroenterol, 2024, 59(1): 7-15.
[26]
何正琼, 张伟, 杜桂鹏. 老年肝硬化门静脉高压伴上消化道急性出血预后与血细胞参数及BUN/Cr比值, PALBI评分的关系分析[J]. 标记免疫分析与临床, 2023, 30(12): 2036-2041.
[27]
Coşkun Yaş S, Üçöz Kocaşaban D, Güler S. The role of shock indexes and RDW/albumin ratio in upper gastrointestinal bleeding: Predicting adverse outcomes. Die Rolle von Schockindizes und des Verhältnisses der Erythrozytenverteilungsbreite zu Albumin bei oberer gastrointestinaler Blutung: Vorhersage unerwünschter Outcomes [J]. Med Klin Intensivmed Notfmed, 2025, 120(1): 49-56.
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