首页|经鼻蝶入路术后老年垂体瘤患者并发手术部位感染的预警模型构建

经鼻蝶入路术后老年垂体瘤患者并发手术部位感染的预警模型构建

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目的 分析影响经鼻蝶入路术后老年垂体瘤患者并发手术部位感染的独立预测因素,并构建列线图预警模型,为预防老年垂体瘤患者的术后感染提供参考依据。方法 选取南京医科大学附属淮安第一医院2020年1月~2023年1月110例行内镜下经鼻蝶入路垂体瘤切除术的老年垂体瘤患者,对患者的临床资料进行分析,根据其术后是否并发手术部位的感染分为感染组(n=14)和非感染组(n=96)。采用单因素、多因素logistic回归分析确定术后老年垂体瘤患者并发手术部位感染的独立危险因素。另选取同一时期同一纳入标准的47例患者的临床资料作为验证组(训练组∶验证组=7∶3),用R软件构建列线图风险预警模型并行内部验证;采用受试者工作特征(ROC)曲线下面积(AUC)验证模型的校准度和区分度,并绘制校准图对模型的性能进行验证。结果 110例行内镜下经鼻蝶入路垂体瘤切除术的老年垂体瘤患者发生并发手术部位感染14例,发生率为12。73%。单因素研究结果显示,手术用时、术中出血量、术中脑脊液漏、术前使用抗菌药物、术后护理类型为老年垂体瘤患者术后并发手术部位感染的影响因素(P<0。05)。多因素logistic回归分析结果显示,手术用时(>240 min)(OR=11。534,95%CI=1。756~75。761,P=0。011)、术中出血量(>120 ml)(OR=9。648,95%CI=1。496~62。216,P=0。017)、存在术中脑脊液漏(OR=6。75,95%CI=1。198~38。018,P=0。03)、术前使用抗菌药物(OR=9。633,95%CI=1。547~59。982,P=0。015)为影响老年垂体瘤患者术后并发手术部位感染发生的独立危险因素(P<0。05);术后综合护理(OR=0。153,95%CI=0。026~0。893,P=0。037)是其保护因素。列线图模型预测的感染风险与实际感染发生率具有良好的一致性,内部验证结果显示模型方程具有较高的区分度,ROC曲线AUC为0。870(95%CI=0。799~0。941,P<0。01),灵敏度为85。6%,特异度为73。3%。结论 老年垂体瘤患者术后并发手术部位感染受手术用时(>240 min)、术中出血量(>120 ml)、存在术中脑脊液漏、术前使用抗菌药物因素影响,术后综合护理可减少患者的感染发生率,以此构建的风险预警模型具有良好的预测价值,可为感染的预防提供依据。
Construction of early warning model of surgical site infection in elderly pituitary tumor patients after transoasal butterfly approach
Objective To analyze the independent predictive factors of surgical site infection in elderly pituitary tumor patients after transnasal butterfly approach,and to construct a nomogram warning model to provide reference for preventing postoperative infection in elderly pituitary tumor patients.Methods Selected elderly patients undergoing endoscopic pituitary tumor resection from January 2020 to January 2023,Analysis of the clinical data,Infected(n=14)and non-infected(n=96).Univariate,multivariate logistic regression analysis was performed to determine independent risk factors for concurrent surgical site infection in elderly postoperative pituitary tumor patients.The clinical data of 47 patients with the same inclusion criteria in the same period were selected as the validation set(training set∶validation set=7∶3).R software was used to build the nomogram risk early warning model with parallel internal verification.The calibration and discrimination of the model were verified using the receiver operating characteristic(ROC)area under the curve(AUC),and the calibration map was used to verify the performance of the model.Results The probability of 110 elderly patients with complicated surgical site infection was 12.73%.The results of univariate studies showed surgical time,postoperative blood loss,intraoperative cerebrospinal fluid leakage,preoperative antimicrobial use,postoperative care type were the influencing factors of postoperative and concurrent surgical site infection in elderly pituitary tumor patients(P<0.05).The results of the multivariate Logistic regression analysis showed that procedure time(>240 min)(OR=11.534,95%CI=1.756~75.761,P=0.011),intraoperative blood loss(>120 ml)(OR=9.648,95%CI=1.496~62.216,P=0.017),presence of intraoperative cerebrospinal fluid leakage(OR=6.75,95%CI=1.198~38.018,P=0.03),preoperative use of antimicrobial agents(OR=9.633,95%CI=1.547~59.982,P=0.015)was an independent risk factor affecting the occurrence of postoperative surgical site infection in elderly pituitary tumor patients(P<0.05).Comprehensive postoperative care(OR=0.153,95%CI=0.026~0.893,P=0.037)was its protective factor.The nomogram model predicted the infection risk with the actual infection incidence,and internal validation showed that the model equation had a high degree of differentiation,ROC curve AUC of 0.870(95%CI=0.799~0.941,P<0.01),sensitivity of 85.6%and specificity of 73.3%.Conclusion Elderly patients with postoperative surgical site infection by surgery(>240 min),intraoperative bleeding(>120 ml),intraoperative cerebrospinal fluid leakage and preoperative use of antimicrobial factors,postoperative comprehensive care can reduce the incidence of infection in patients,the risk warning model has good predictive value,can provide a basis for the prevention of infection.

Transnasal butterfly approachElderly pituitary tumor patientsPostoperative concurrent infectionEarly warning model

朱星、刘兵霞、夏海桃

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223300 淮安,南京医科大学附属淮安第一医院神经外科

经鼻蝶入路 老年垂体瘤患者 术后并发感染 预警模型

江苏省卫生健康委科研项目

M2022082

2024

中华保健医学杂志
中国人民解放军总后勤部卫生部保健局

中华保健医学杂志

CSTPCD
影响因子:0.477
ISSN:1674-3245
年,卷(期):2024.26(4)