口腔医学 ›› 2024, Vol. 44 ›› Issue (4): 261-267.doi: 10.13591/j.cnki.kqyx.2024.04.005

• 基础与临床研究 • 上一篇    下一篇

口腔癌游离皮瓣移植术后谵妄的相关因素及影响研究

沈梦圆1,2,张雪莹1,徐欣晨2,李晓东2,孟箭1,2()   

  1. 1 蚌埠医学院研究生院,安徽蚌埠(233000)
    2 徐州市中心医院口腔科,江苏徐州(221000)
  • 收稿日期:2023-08-10 出版日期:2024-04-28 发布日期:2024-04-25
  • 通讯作者: 孟 箭 E-mail:mrocket@126.com
  • 基金资助:
    国家口腔疾病临床医学研究中心开放课题(NCRCO-202101);徐州市科技计划项目(KC21187);徐州医科大学附属医院优秀人才基金项目(XYFY2020035);徐州医科大学附属医院优秀人才基金项目(XYFY202207)

Correlation analysis of prognostic nutritional index and systemic immune inflammatory index and postoperative delirium in patients undergoing flaps surgery of oral cavity cancer

SHEN Mengyuan1,2,ZHANG Xueying1,XU Xinchen2,LI Xiaodong2,MENG Jian1,2()   

  1. Graduate School of Bengbu Medical College, Bengbu 233000, China
  • Received:2023-08-10 Online:2024-04-28 Published:2024-04-25

摘要:

目的 研究口腔癌(oral cavity cancer,OCC)患者游离皮瓣移植术后谵妄(postoperative delirium,POD)的发病率和危险因素,并探讨预后营养指数(prognostic nutritional index,PNI)、系统免疫炎症指数(system immune inflammation index,SII)与OCC患者POD的相关性。方法 回顾性收集徐州市中心医院2016年1月—2023年5月行游离皮瓣移植术且资料完整的OCC患者138例,其中男89例,女49例;年龄27~88岁,平均(60.04±10.89)岁。用SPSS 26.0软件包分析POD相关危险因素,Logistic回归筛选独立危险因素并建立预测模型,以受试者的工作曲线(ROC)下面积(AUC)及最佳临界值时的敏感度和特异度检验模型效果。结果 POD发病率为10.9%(15/138)。单因素分析:年龄≥60岁、PNI、SII、总蛋白、手术时间、气管切开、术中输血、术后睡眠障碍、ICU监护时间、视觉模拟(visual analogue scale,VAS)疼痛评分、术后并发症具有统计学意义(P<0.05);多因素Logistic回归分析:年龄≥60岁、PNI、SII、输血、睡眠障碍、疼痛是POD的独立危险因素。PNI<50.075,SII>754.308时POD风险升高;PNI&SII-预测模型AUC=0.919,约登指数为0.689,灵敏度=0.933,特异度=0.756。结论 PNI和SII是OCC皮瓣患者POD的独立危险因素,可作为预测POD发生的指标。PNI&SII-预测模型对OCC皮瓣患者POD具有较好的预测价值,可用于指导临床早期干预与治疗。

关键词: 口腔癌, 谵妄, 预后营养指数, 系统免疫炎症指数, 预测模型

Abstract:

Objective To investigate the incidence and risk factors of postoperative delirium(POD)after free flap reconstruction in patients with oral cavity cancer(OCC) and explore the correlation between prognostic nutritional index(PNI) and system immune inflammation index(SII) with POD in oral cavity cancer patients. Methods A retrospective analysis of 138 patients who underwent the free flap surgery for OCC in Xuzhou Central Hospital between January 2016 to March 2023 were performed. Eighty-nine were male and 49 were female. The average age was (60.04±10.89) years(range: 27 to 88). POD-related risk factors were analyzed with SPSS 26.0 software package. The association between risk factors and POD was analyzed by binary Logistic regression analysis. The effect of PNI and SII was evaluated using the area under the receiver operating characteristic curve(AUC-ROC), sensitivity and specificity. Results A total of 15(10.9%)patients had POD. Single factor analysis results indicated that delirium was associated with age≥60,PNI,SII,total protein, time of operation,tracheostomy, blood transfusion, sleep disturbance, ICU observation time, visual analogue scale(VAS)pain score and complications. Multiple Logistic regression analysis showed that the independent risk factors of delirium included age≥60, PNI, SII, blood transfusion, sleep disturbance and pain. The risk of POD was increased when PNI<50.075 and SII>754.308. AUC of the PNI&SII-prediction model was 0.919; Youden index was 0.689; sensitivity was 0.933 and specificity was 0.756. Conclusion PNI and SII are independent risk factors for POD and can be used as indicators to predict POD. The PNI&SII-prediction model has a good value for POD in patients with flaps for OCC, and can be used to clinically guide early intervention and treatment.

Key words: oral cavity cancer, delirium, prognostic nutritional index, system immune inflammation index, prediction model

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