Xu Liya, Wang Pengbin, Pan Yan, Zhou Xiaorui, Yin Gang
Department of Gastroenterology, Lanzhou Petrochemical General Hospital (The Fourth Affiliated Hospital of Gansu University of Traditional Chinese Medicine) No. 733 Fuli West Road, Xigu District, Lanzhou 730060, Gansu, China.
Department of Gastroenterology, The Second People's Hospital of Lanzhou City No. 388 Jingyuan Road, Chengguan District, Lanzhou 730060, Gansu, China.
Am J Transl Res. 2024 Jul 15;16(7):2982-2994. doi: 10.62347/ICQU1086. eCollection 2024.
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.
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.
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.
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.
评估凝血指标和血常规指标对乙型肝炎感染的肝硬化患者食管胃底静脉曲张破裂出血(EGVB)内镜治疗后再出血的预测价值。
本回顾性分析纳入了2019年10月至2022年3月期间接受初次内镜治疗并随访12个月的248例乙型肝炎相关性肝硬化合并EGVB患者。将患者分为再出血组和未再出血组。分析实验室指标,通过单因素和多因素分析确定再出血的预测因素。使用受试者工作特征(ROC)曲线、校准曲线和决策曲线分析(DCA)评估逻辑回归模型的效能,并构建风险因素列线图以评估这些风险因素的预测效率。
单因素分析显示,与未再出血组相比,再出血组门静脉直径和较低的Child-Pugh评分存在显著差异。再出血组的关键实验室指标如血小板计数(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)较低,而凝血酶原时间(PT)和乳酸水平(LN)较高。多因素分析确定门静脉直径、PLT、ALT、PT、LYM和PNI是再出血的显著预测因素。逻辑模型显示出高准确性(AUC = 0.986)和临床价值,ROC曲线、校准曲线(C指数 = 0.986)和DCA结果验证了这一点。成功构建了风险因素预测列线图。
本研究建立了一个带有列线图的逻辑回归模型,用于预测乙型肝炎相关性肝硬化患者EGVB相关再出血,AUC为0.986,表明具有高准确性和显著的临床相关性。