主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2023, Vol. 23 ›› Issue (4): 522-527.doi: 10.3969/j.issn.1672-1756.2023.04.009

• 论著 • 上一篇    下一篇

原发性肝细胞癌患者术后认知功能障碍预警模型的构建及验证

符琼燕 翁杰 陈叶丹 王海艳   

  1. 海南医学院第一附属医院手术室,570102 海口市(符琼燕,陈叶丹,王海艳);肝胆外科(翁杰)
  • 出版日期:2023-04-15 发布日期:2023-04-15
  • 作者简介:符琼燕,本科,主管护师,E-mail:fuqiongtiio@163.com
  • 基金资助:
    海南省医药卫生科研项目(1341320.27A2012)

Development of an early warning model for Postoperative Cognitive Dysfunction in patients with primary Hepatocellular Carcinoma

FU Qiongyan, WENG Jie, CHEN Yedan, WANG Haiyan   

  1. Operating Room, First Affiliated Hospital of Hainan Medical University, Haikou, 570102, China
  • Online:2023-04-15 Published:2023-04-15

摘要: 目的:分析原发性肝细胞癌患者术后认知功能障碍发生的危险因素,并构建及验证预警模型。方法:选取海南省海口市某三级甲等医院2019年1月至2021年1月行肝癌根治术治疗的211例原发性肝细胞癌患者为研究对象。采用多因素Logistic回归模型分析原发性肝细胞癌患者术后认知功能障碍发生的危险因素,并将危险因素作为构建列线图模型的预测指标。采用内部数据验证列线图模型性能,采用决策曲线分析评估列线图模型的临床净收益。结果:在211例原发性肝细胞癌患者中,有47例被诊断为术后认知功能障碍,占22.3%。年龄>66岁、美国麻醉师学会分级为Ⅲ级、麻醉时间>270?min、中性粒细胞与淋巴细胞比值>2.68及肿瘤坏死因子-α>9.87?nmol/L是原发性肝细胞癌患者发生术后认知功能障碍的独立危险因素(P均<0.05)。列线图模型预测C指数为0.735,95%CI为(0.704,0.847);当列线图模型预测原发性肝细胞癌患者术后认知功能障碍发生风险阈值为>0.16时,提供显著附加临床净收益;此外,列线图模型的临床净收益高于年龄、美国麻醉师学会分级、麻醉时间、肿瘤坏死因子-α及中性粒细胞与淋巴细胞比值。结论:本研究构建的预警模型可以用于对原发性肝细胞癌根治术患者术后认知功能障碍发生风险的预测,为医护人员对术后认知功能障碍进行预测并制定干预策略提供参考依据。

关键词: 原发性肝细胞癌;根治术;认知功能障碍;列线图

Abstract: Objective: To explore the risk factors of Postoperative Cognitive Dysfunction (POCD) in patients with primary Hepatocellular Carcinoma (HCC) and develop an early warning model for such patients. Methods: We selected 211 patients with HCC who underwent radical resection of liver cancer from January 2019 to January 2021 in a tertiary grade A hospital in Haikou city. The ROC curve was used to analyze the single factor to observe the difference of continuous variables and obtain the best cut-off value. Multivariate Logistic regression model was used to figure out the risk factors of POCD in HCC patients. Risk factors were used as predictive indicators for constructing the Nomogram model. Internal data was adopted to verify the performance of the Nomogram model and the decision curve analysis was used to evaluate the clinical net benefit of the Nomogram model. Results: Among 211 patients with HCC, 47 patients were diagnosed with POCD (22.3%). Independent risk factors of POCD in HCC patients included age (>66 years old), American Society of Anesthesiologists (ASA) classification (Class III), anesthesia time (>270 min), NLR (>2.68) and TNF-α (>9.87 nmol/L) (all P<0.05). The C-index predicted by the Nomogram model was 0.735 (95% CI: 0.704, 0.847); when the Nomogram model predicted a risk threshold of POCD in HCC patients higher than 0.16, significant additional clinical net benefits would occur. In addition, the clinical net benefit of the Nomogram model was higher than age, ASA classification, anesthesia time, TNF-α and NLR. Conclusion: The early warning model constructed in this study can help predict the risk of POCD in patients undergoing radical HCC surgery and thus provide a method for medical staff to formulate POCD prediction strategies.

Key words: primary hepatocellular carcinoma; radical resection; cognitive dysfunction; Nomogram

中图分类号:  R47;R49;R730.6