首页> 外文期刊>american journal of translational research >Predictive value of blood coagulation and routine blood indices for rebleeding after endoscopic treatment in hepatitis B-related cirrhotic patients with esophagogastric fundal varices: a logistic regression model analysis
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Predictive value of blood coagulation and routine blood indices for rebleeding after endoscopic treatment in hepatitis B-related cirrhotic patients with esophagogastric fundal varices: a logistic regression model analysis

机译:乙型肝炎相关肝硬化伴食管胃底静脉曲张患者内镜治疗后再出血凝血及血常规指标的预测价值:Logistic 回归模型分析

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Objective: To evaluate the predictive value of blood coagulation and routine blood indices for rebleeding after endoscopic treatment of ruptured esophagogastric fundal varices (EGVB) in cirrhotic patients with hepatitis B infection. Methods: This retrospective analysis included 248 patients with hepatitis B-related cirrhosis and EGVB who received initial endoscopic treatment from October 2019 to March 2022 and were followed up for 12 months. Patients were divided into rebleeding and non-rebleeding groups. Laboratory indices were analyzed, and univariate and multivariate analyses identified predictors of rebleeding. The efficacy of a logistic regression model was evaluated using Receiver Operating Characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA), and a risk factor nomogram was constructed for assessing the predictive efficiency of those risk factors. Results: Univariate analysis showed significant differences in portal vein diameters and lower Child-Pugh scores in the rebleeding group in contrast to those in the non-rebleeding group. Key laboratory markers such as platelet count (PLT), albumin (ALB), alanine aminotransferase (ALT), lymphocytes (LYM), and prognostic nutritional index (PNI) were lower, while prothrombin time (PT) and lactate levels (LN) were higher in the rebleeding group than those in the non-rebleeding group. Multivariate analysis identified portal vein diameter, PLT, ALT, PT, LYM, and PNI as significant predictors of rebleeding. The logistic model demonstrated high accuracy (AUC=0.986) and clinical value, validated by ROC curves, calibration curves (C-index =0.986), and DCA results. A risk factor predictive nomogram was successfully constructed. Conclusion: This study developed a logistic regression model with a nomogram for predicting EGVB-related rebleeding in patients with hepatitis B-related cirrhosis, achieving an AUC of 0.986, indicating high accuracy and significant clinical relevance.
机译:目的: 评价凝血和常规血液指标对肝硬化乙型肝炎感染患者内镜治疗食管胃底静脉曲张 (EGVB) 后再出血的预测价值。方法: 本回顾性分析纳入 2019 年 10 月至 2022年3月接受初始内窥镜治疗的 248 例乙型肝炎相关肝硬化和 EGVB 患者,并随访 12 个月。将患者分为再出血组和非再出血组。分析实验室指数,单变量和多变量分析确定再出血的预测因子。使用受试者工作特征 (ROC) 曲线、校准曲线和决策曲线分析 (DCA) 评估 logistic 回归模型的有效性,并构建危险因素列线图以评估这些危险因素的预测效率。结果: 单因素分析显示,与非再出血组相比,再出血组门静脉直径和较低的 Child-Pugh 评分存在显著差异。再出血组血小板计数 (PLT) 、白蛋白 (ALB) 、丙氨酸氨基转移酶 (ALT) 、淋巴细胞 (LYM) 和预后营养指数 (PNI) 等关键实验室标志物较低,而凝血酶原时间 (PT) 和乳酸水平 (LN) 高于非再出血组。多变量分析确定门静脉直径、 PLT、ALT、PT、LYM 和 PNI 是再出血的重要预测因子。logistic 模型表现出较高的准确性 (AUC=0.986) 和临床价值,经 ROC 曲线、校准曲线 (C 指数 =0.986) 和 DCA 结果验证。成功构建了危险因素预测列线图。结论: 本研究开发了一种带有列线图的 logistic 回归模型,用于预测乙型肝炎相关肝硬化患者 EGVB 相关再出血,AUC 为 0.986,具有较高的准确性和显著的临床相关性。

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