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老年肺部耐碳青霉烯肠杆菌感染风险预测模型的构建和验证

赵诗琦 王书 张颖 王莎莎 李静 唐文娟 李静 张学敏 李芳

赵诗琦, 王书, 张颖, 王莎莎, 李静, 唐文娟, 李静, 张学敏, 李芳. 老年肺部耐碳青霉烯肠杆菌感染风险预测模型的构建和验证[J]. 中华全科医学, 2023, 21(11): 1860-1864. doi: 10.16766/j.cnki.issn.1674-4152.003243
引用本文: 赵诗琦, 王书, 张颖, 王莎莎, 李静, 唐文娟, 李静, 张学敏, 李芳. 老年肺部耐碳青霉烯肠杆菌感染风险预测模型的构建和验证[J]. 中华全科医学, 2023, 21(11): 1860-1864. doi: 10.16766/j.cnki.issn.1674-4152.003243
ZHAO Shiqi, WANG Shu, ZHANG Ying, WANG Shasha, LI Jing, TANG Wenjuan, LI Jing, ZHANG Xuemin, LI Fang. Establishment and validation of model for the risk of Carbapenem-Resistant Enterobacteriaceae infection in elderly patients with pulmonary infection[J]. Chinese Journal of General Practice, 2023, 21(11): 1860-1864. doi: 10.16766/j.cnki.issn.1674-4152.003243
Citation: ZHAO Shiqi, WANG Shu, ZHANG Ying, WANG Shasha, LI Jing, TANG Wenjuan, LI Jing, ZHANG Xuemin, LI Fang. Establishment and validation of model for the risk of Carbapenem-Resistant Enterobacteriaceae infection in elderly patients with pulmonary infection[J]. Chinese Journal of General Practice, 2023, 21(11): 1860-1864. doi: 10.16766/j.cnki.issn.1674-4152.003243

老年肺部耐碳青霉烯肠杆菌感染风险预测模型的构建和验证

doi: 10.16766/j.cnki.issn.1674-4152.003243
基金项目: 

合肥市卫生健康委2022年度重点应用医学研究项目 Hwk2022zd003

安徽省高等学校科学研究项目(自然科学类)重点项目 2022AH052334

详细信息
    通讯作者:

    张颖,E-mail:zhangying196501@163.com

  • 中图分类号: R563.1

Establishment and validation of model for the risk of Carbapenem-Resistant Enterobacteriaceae infection in elderly patients with pulmonary infection

  • 摘要:   目的  分析及筛选影响老年肺部耐碳青霉烯肠杆菌(CRE)感染的高危因素,构建并验证风险Nomogram预测模型。  方法  回顾性对安徽地区共894例的老年(≥60岁)肺部感染痰培养为肠杆菌科细菌的住院患者的临床资料进行收集,抽取2个医院作为验证组(250例),其余作为建模组(644例),使用单因素Lasso回归和多变量logistic回归分析对建模组数据进行分析,确定CRE感染的独立危险因素。构建Nomogram预测模型, 并对模型进行多中心验证。  结果  气管插管≥72 h、长期卧床、抗生素使用种类≥2种、脑血管疾病、营养不良是老年肺部耐碳青霉烯肠杆菌感染的独立危险因素。基于上述5项独立危险因素,建立预测风险Nomogram模型,建模组和验证组2组AUC值分别为0.862、0.858;且Hosmer-Lemeshow检验可见建模组P=0.761,验证组P=0.339;Decision曲线分析显示,模型在较大的阈值内获益性均良好。  结论  构建老年肺部CRE感染风险预测模型具有一定的临床意义,能够针对可控因素进行早期个体化干预。

     

  • 图  1  Lasso回归系数路径图及10倍交叉验证曲线

    Figure  1.  Lasso regression coefficient path graph and 10-fold cross-validation curve

    图  2  老年肺部感染患者CRE感染风险模型

    Figure  2.  The Nomogram of risk model for carbapenem resistant Enterobacteriaceae infection in elderly patients with pulmonary infection

    图  3  老年肺部感染患者CRE感染风险模型的ROC曲线

    注:曲线下面积越接近1说明模型预测能力越好。

    Figure  3.  The ROC curve of risk model for carbapenem resistant Enterobacteriaceae infection in elderly patients with pulmonary infection

    图  4  老年肺部感染患者CRE感染风险模型的Calibration曲线

    注:校准曲线(图中实线)与斜率=1的对角线虚线(理想曲线)基本重合,证明模型预测能力良好。

    Figure  4.  The Calibration curve of risk model for carbapenem resistant Enterobacteriaceae infection in elderly patients with pulmonary infection

    图  5  老年肺部感染患者CRE感染风险模型的Decision曲线

    注:水平横线表示不给予相关预测及干预时患者无法获得临床收益。

    Figure  5.  The Decision curve of risk model for carbapenem resistant Enterobacteriaceae infection in elderly patients with pulmonary infection

    表  1  建模组及验证组老年肺部感染患者一般临床特征比较

    Table  1.   Comparison of general clinical characteristics of elderly patients with pulmonary infection between the modeling group and the verification group

    项目 建模组(n=644) 验证组(n=250) 统计量 P
    年龄(x±s,岁) 80.9±8.0 76.7±9.0 6.698a <0.001
    性别(男性/女性,例) 442/202 157/93 1.541b 0.215
    吸烟史[例(%)] 67(10.4) 50(20.0) 2.602b 0.107
    药物过敏史[例(%)] 31(4.8) 34(13.6) 1.754b 0.185
    手术史[例(%)] 356(55.3) 126(50.4) 0.157b 0.692
    既往住院史[例(%)] 512(79.5) 166(66.4) 0.779b 0.377
    长期卧床[例(%)] 263(40.8) 118(47.2) 3.455b 0.063
    合并症[例(%)]
      其他部位感染 228(35.4) 80(32.0) 1.722b 0.188
      心力衰竭 136(21.1) 48(19.2) 0.021b 0.884
      休克 112(17.4) 14(5.6) 2.893b 0.089
      重症肺炎 193(29.9) 79(31.6) 1.885b 0.170
      呼吸衰竭 160(24.8) 56(22.4) 1.270b 0.260
    基础疾病[例(%)]
      慢性阻塞性肺疾病 102(15.8) 49(19.6) 0.124b 0.725
      慢性肺源性心脏病 37(5.7) 15(6.0) 0.270b 0.603
      冠心病 156(24.2) 74(29.6) 0.007b 0.935
      糖尿病 171(26.6) 64(25.6) 2.806b 0.094
      高血压 376(58.4) 134(53.6) 0.029b 0.865
      消化道出血 40(6.2) 16(6.4) 0.373b 0.541
      肿瘤 179(27.8) 68(27.2) 2.064b 0.151
      动脉硬化 232(36.0) 87(34.8) 0.439b 0.507
      脑血管疾病 413(64.1) 145(58.0) 0.001b 0.979
    治疗相关因素[例(%)]
      抗生素使用时长≥2周 190(29.5) 102(40.8) 2.941b 0.086
      抗生素使用种类≥2种 246(38.2) 113(45.2) 0.790b 0.374
    住院时长[M(P25, P75),d] 15.66(12.00,18.00) 16.06(14.00,18.00) -1.010c 0.313
    治疗中吸痰[例(%)] 483(75.0) 173(69.2) 0.250b 0.617
    有创操作[例(%)]
      气管插管≥72 h 106(16.9) 61(24.4) 3.262b 0.071
      留置胃管 473(73.4) 159(63.6) 0.419b 0.518
      留置导尿管 331(51.4) 111(44.4) 0.674b 0.412
    老年综合征[例(%)]
      痴呆 183(28.4) 46(18.4) 3.808b 0.051
      营养不良 197(30.6) 80(32.0) 3.371b 0.066
    实验室检查指标[M(P25, P75)]
      白细胞计数(×109/L) 10.3(6.7, 12.3) 12.3(6.1, 11.7) -1.860c 0.063
      中性粒百分比(%) 77.8(69.3, 88.0) 77.0(68.1, 87.9) -0.586c 0.558
      红细胞计数(×109/L) 3.8(3.3, 4.3) 3.8(3.3, 4.3) -0.537c 0.591
      血红蛋白(g/L) 112.2(97.0, 128.0) 114.4(99.0, 131.0) -1.671c 0.095
      ALT(μ/L) 32.2(11.3, 31.7) 29.3(11.0, 29.3) -0.588c 0.556
      AST(μ/L) 45.4(17.0, 38.5) 43.3(16.0, 35.0) -1.815c 0.069
      肌酐(μmol/L) 102.2(53.1, 99.7) 93.3(51.8, 97.0) -0.842c 0.400
      尿素(mmol/L) 10.5(5.0, 10.7) 7.7(4.6, 9.0) -2.565c 0.010
      白蛋白(g/L) 35.1(33.0, 38.3) 34.8(31.2, 38.3) -1.825c 0.068
    注:at值,b为χ2值,cZ值。其他部位感染包括血液、尿液、引流液、腹腔等;抗生素使用时长≥2周指不同抗生素总使用疗程≥2周;抗生素使用种类包括所有针对阴性菌及阳性菌的抗生素。
    下载: 导出CSV

    表  2  CRE组和CSE组老年肺部感染患者菌株类型分布情况[例(%)]

    Table  2.   Distribution of bacterial strains in elderly patients with pulmonary infection between CRE group and CSE group [cases(%)]

    组别 例数 肺炎克雷伯菌 阴沟肠杆菌 大肠埃希菌 其他a
    CRE组 404 262(64.9) 29(7.2) 52(12.8) 61(15.1)
    CSE组 490 311(63.5) 41(8.4) 97(19.8) 41(8.3)
    注:a包括弗劳地枸橼酸杆菌、产气克雷伯菌、产酸克雷伯菌、变栖克雷伯菌、粘质沙雷菌等。
    下载: 导出CSV

    表  3  老年肺部感染患者CRE感染的多因素logistic回归分析

    Table  3.   Multivariate logistic regression analysis of CRE infection in elderly patients with pulmonary infection

    项目 B SE Wald χ2 P OR值(95%CI)
    气管插管≥72 h 0.701 0.336 4.353 0.037 2.015(1.043~3.891)
    长期卧床 1.598 0.213 56.176 <0.001 4.945(3.256~7.511)
    抗生素使用种类≥2种 0.451 0.223 4.085 0.043 1.569(1.014~2.429)
    脑血管疾病 1.282 0.231 30.656 <0.001 3.603(2.289~5.671)
    营养不良 1.558 0.252 38.144 <0.001 4.747(2.896~7.783)
    下载: 导出CSV
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  • 收稿日期:  2023-07-19
  • 网络出版日期:  2024-01-13

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