首都医科大学学报 ›› 2023, Vol. 44 ›› Issue (1): 107-114.doi: 10.3969/j.issn.1006-7795.2023.01.016

• 临床研究 • 上一篇    下一篇

肝硬化合并肠系膜上静脉栓塞患者2年预后预测模型的构建与验证

冯颖, 时克, 王宪波*   

  1. 首都医科大学附属北京地坛医院中西医结合中心,北京 100015
  • 收稿日期:2022-04-10 出版日期:2023-02-21 发布日期:2023-01-13
  • 基金资助:
    国家自然科学基金(No.82004153),北京市科学技术委员会(Z191100006619033)。

Establishment and validation of 2-year predictive scoring model for patients with liver cirrhosis complicated with superior mesenteric venous thrombosis

Feng Ying, Shi Ke, Wang Xianbo*   

  1. Department of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
  • Received:2022-04-10 Online:2023-02-21 Published:2023-01-13
  • Contact: *E-mail: wangxianbo638@163.com
  • Supported by:
    National Natural Science Foundation of China (No. 82004153), Beijing Science and Technology Project (Z191100006619033).

摘要: 目的 探讨肝硬化合并肠系膜上静脉栓塞(superior mesenteric venous thrombosis, SMVT)长期预后的影响因素,构建2年预后预测模型并进行预测效果评价。方法 采集2016年12月至2020年3月确诊的肝硬化合并 SMVT患者254人的临床信息,以2019年3月30日为时间节点分为建模组(170例)和验证组(84例)。建模组依据随访2年时的结局分为生存组(148例)和死亡组(22例),运用多因素Logistic回归分析患者预后影响因素,建立模型并绘制列线图;采用受试者工作特征(receiver operating characteristic, ROC)曲线、校准曲线和Hosmer-Lemeshow 拟合优度检验评价预测模型的准确性、区分度和校准度;决策曲线分析(decision curve analysis,DCA)评估预测模型的临床有效性。结果 年龄(HR=4.625,95% CI:1.493~14.322,P=0.008)、粒细胞/淋巴细胞比值(neutrophils/lymphocyte ratio, NLR)(HR=4.650,95% CI:1.343~16.099,P=0.015)为肝硬化合并SMVT患者预后的独立影响因素;预测模型公式为PI=-4.753+1.531×年龄+1.537×NLR;曲线下面积(area under the curve,AUC)为 0.838(95%CI:0.751~0.925),当预测截点(cut-off)值为0.070时,灵敏度=86.4%,特异度=62.8%;内部验证的AUC为0.806,灵敏度为81.8%,特异度为79.4%,Kappa=0.408。Hosmer-Lemeshow 拟合优度检验显示出较好的拟合度(建模队列P=0.494;验证队列P=0.128)。DCA 结果显示阈值概率>10%,预测模型在临床上是有益的。结论 年龄、NLR是肝硬化合并SMVT患者2年预后的独立影响因素;本研究建立的模型在预测此类患者的2年预后方面具有一定应用价值。

关键词: 肝硬化, 肠系膜上静脉栓塞, 危险因素, 预测模型

Abstract: Objective To investigate the influencing factors of long-term prognosis of liver cirrhosis complicated with superior mesenteric venous thrombosis (SMVT). Methods The clinical information of 254 patients with liver cirrhosis complicated with SMVT diagnosed from December 2016 to March 2020 was collected. Taking March 30, 2019 as the time point, the patients were divided into modeling group (170 cases) and validation group (84 cases). The modeling group was divided into survival group (148 cases) and death group (22 cases) according to the outcome of follow-up for 2 years. The influencing factors of prognosis were analyzed by Logistic regression and the model was established. The receiver operating characteristic (ROC)curve,calibration curves, and Hosmer-Lemeshow test were used to validate and evaluate the discrimination and calibration of the model, while the decision curve analysis was used to evaluate its clinical validity. Results Age(HR=4.625,95% CI:1.493-14.322,P=0.008), neutrophils/lymphocyte ratio (NLR) (HR=4.650,95% CI:1.343-16.099,P=0.015) were independent prognostic factors in patients with liver cirrhosis complicated with SMVT. Calculation formula of prediction model is PI=-4.753+1.531×age+1.537×NLR. The area under the curve(AUC) of the predictive scoring model was 0.838(95%CI:0.751-0.925), the sensitivity was 86.4%, the specificity was 62.8%; The AUC of internal validation was 0.806, the sensitivity was 81.8%, and the specificity was 79.4%, Kappa=0.408.The Hosmer-Lemeshow test showed perfect fitting degree (modeling:P=0.494;validation:P=0.128). Decision curve analysis showed a risk threshold of 10% and demonstrated a clinically effective predictive model. Conclusion Age and NLR are independent factors affecting the 2-year prognosis of patients with liver cirrhosis complicated with SMVT. The model established in this study has certain application value in predicting the 2-year prognosis of such patients.

Key words: liver cirrhosis, superior mesenteric vein embolization, risk factors, prediction model

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