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首页|期刊导航|解放军医学杂志|白蛋白、血红蛋白及多因素模型对老年脑膜瘤患者术后预后不良的预测价值

白蛋白、血红蛋白及多因素模型对老年脑膜瘤患者术后预后不良的预测价值

拱艳羽 曲虹 冯思哲 于春泳 杜金伟 蒋金

解放军医学杂志2025,Vol.50Issue(4):418-426,9.
解放军医学杂志2025,Vol.50Issue(4):418-426,9.DOI:10.11855/j.issn.0577-7402.0115.2024.0929

白蛋白、血红蛋白及多因素模型对老年脑膜瘤患者术后预后不良的预测价值

Predictive value of albumin,hemoglobin,and multifactorial model for poor postoperative prognosis in elderly patients with meningiomas

拱艳羽 1曲虹 2冯思哲 2于春泳 2杜金伟 1蒋金2

作者信息

  • 1. 中国医科大学北部战区总医院研究生培养基地,辽宁 沈阳 110016
  • 2. 北部战区总医院神经外科,辽宁 沈阳 110016
  • 折叠

摘要

Abstract

Objective To explore the predictive value of albumin,hemoglobin and multifactorial model for poor postoperative prognosis in elderly patients with meningioma.Methods A retrospective analysis was conducted on 253 elderly patients who underwent meningioma surgery and were transferred to the neurosurgical intensive care unit(NICU)at General Hospital of Northern Theater Command from January 2019 to September 2021,serving as the modeling cohort.Another 227 elderly patients who were treated in NICU after meningioma surgery from November 2021 to June 2023 were used as the validation cohort.Patients in the modeling cohort were categorized into good prognosis group[Glasgow Coma Scale(GCS)score>7,n=161]and poor prognosis group(GCS≤7,n=92)based on the GCS.Univariate and multifactorial logistic regression analyses were performed on the modeling cohort to identify independent risk factors,and a multifactorial model for predicting poor postoperative prognosis in elderly patients with meningioma was constructed based on these factors.The predictive efficacy and accuracy of the model were evaluated using the area under the receiver operating characteristic(ROC)curve(AUC),sensitivity,specificity,Hosmer-Lemeshow goodness-of-fit test,and calibration curves.The predictive value of postoperative albumin,hemoglobin,and the multifactorial models for postoperative prognosis in elderly meningioma patients was assessed using restricted cubic spline modeling(RCS),decision curves(DCA),and validated using an external validation cohort to assess the stability of the model.Results Meningioma WHO grade Ⅱand Ⅲ(OR=3.994,95%CI 1.963-8.126),postoperative hypoalbuminemia(OR=2.194,95%CI 1.079-4.462),and postoperative anemia(OR=2.117,95%CI 1.096-4.089)were identified as independent risk factors for poor postoperative prognosis in elderly meningioma patients(P<0.05),while the use of analgesic/sedative medications was a protective factor(OR=0.388,95%CI 0.201-0.748,P<0.05).The Hosmer-Lemeshow test indicated that the constructed multifactorial model had a good fit accuracy(P=0.161).The AUC for predicting poor postoperative prognosis in elderly meningioma patients for postoperative albumin and hemoglobin were 0.545(95%CI 0.472-0.617)and 0.632(95%CI 0.561-0.702),respectively,and showed a nonlinear dose-response relationship with prognosis(P<0.01).DCA analysis results showed that the net benefit rate of multifactorial model was higher than that of postoperative albumin and hemoglobin when the threshold probabilities were between 0.10 and 0.90.The AUC for predicting postoperative prognosis in the elderly meningioma patients in the modeling and validation cohorts were 0.810 and 0.819,respectively,and their calibration curves suggested good discrimination and accuracy.Conclusions Meningioma WHO grades Ⅱ and Ⅲ,postoperative anemia and hypoalbuminemia are independent risk factors for poor postoperative prognosis in elderly meningioma patients,while the use of analgesic/sedative drugs is a protective factor.The multifactorial model constructed based on these factors has a good predictive efficacy and credibility,and can be used as a reference for clinical decision-making.

关键词

血红蛋白/多因素模型/老年/脑膜瘤/预后

Key words

hemoglobin/multifactorial model/elderly/meningioma/prognosis

分类

临床医学

引用本文复制引用

拱艳羽,曲虹,冯思哲,于春泳,杜金伟,蒋金..白蛋白、血红蛋白及多因素模型对老年脑膜瘤患者术后预后不良的预测价值[J].解放军医学杂志,2025,50(4):418-426,9.

基金项目

This work was supported by the Science and Technology Plan of Liaoning Province(2021JH2/10300116,2022JH2/101500037) 辽宁省科技计划(2021JH2/10300116,2022JH2/101500037) (2021JH2/10300116,2022JH2/101500037)

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