河北医科大学学报 ›› 2024, Vol. 45 ›› Issue (6): 638-645.doi: 10.3969/j.issn.1007-3205.2024.06.004

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老年脑梗死后吞咽障碍患者1个月内发生吸入性肺炎Nomogram预测模型构建

  

  1. 首都医科大学附属北京友谊医院医保内科/老年医学科,北京 100050

  • 出版日期:2024-06-25 发布日期:2024-06-25
  • 作者简介:胡洁琼(1984-),女,北京人,首都医科大学附属北京友谊医院护师,医学学士,从事老年疾病护理研究。
  • 基金资助:
    友谊医院科研启动基金资助项目(yyqdkt2019-67)

Construction of Nomogram prediction model for aspiration pneumonia in elderly patients with dysphagia after cerebral infarction within one month

  1. Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
  • Online:2024-06-25 Published:2024-06-25

摘要: 目的 探讨老年脑梗死后吞咽障碍患者1个月内发生吸入性肺炎的影响因素,并构建Nomogram预测模型,以期降低吸入性肺炎发生率。
 方法 选取老年脑梗死后吞咽障碍患者280例为研究对象,按7〖DK〗∶3比例随机分为建模组(n=196)、验证组(n=84)。统计建模组、验证组患病后1个月内吸入性肺炎发生情况及其临床资料。建模组中采用Lasso、Logistic分析吸入性肺炎发生的影响因素,并构建Nomogram预测模型。在验证组中对Nomogram预测模型进行外部验证。
 结果 建模组中吸入性肺炎发生率为42.86%,验证组中吸入性肺炎发生率为44.05%;较高年龄、有肺部基础疾病、美国国立卫生研究院卒中量表(National Institute of Health Stroke Scale,NHISS)评分增加、体位不当、未经电磁刺激治疗、有咽部残留及外周血C反应蛋白(C-reactive protein,CRP)水平、中性粒细胞与淋巴细胞比值(neutrophil-to-lymphocyte ratio,NLR)、白细胞计数与红细胞计数比(leukocyte-erythrocyte ratio,LER)升高为吸入性肺炎发生的危险因素(P<0.05);Nomogram预测模型预测吸入性肺炎发生的AUC为0.957,且校准度、临床效用良好(P<0.05)。
 结论 高龄、有肺部基础疾病、NHISS评分增加、体位不当、未经电磁刺激治疗、有咽部残留及外周血CRP、NLR、LER水平升高为老年脑梗死后吞咽障碍患者吸入性肺炎发生的危险因素,基于上述危险因素构建Nomogram预测模型,该模型对吸入性肺炎发生具有一定预测价值,有助于临床早期筛查高风险患者并进行有效防治,减少吸入性肺炎发生。


关键词: 脑梗死, 吞咽障碍, 吸入性肺炎

Abstract: Objective To explore the influencing factors of aspiration pneumonia in elderly patients with dysphagia after cerebral infarction within one month, and to establish a Nomogram prediction model to reduce the incidence of aspiration pneumonia. 
Methods A total of 280 elderly patients with dysphagia after cerebral infarction were selected as research subjects, and randomly divided into modeling population (n=196) and verification group (n=84) in a 7〖DK〗∶3 ratio. The incidence and clinical data of aspiration pneumonia within 1 month after developing the disease were recorded in modeling group and verification group. The influencing factors of aspiration pneumonia in the modeling group were analyzed by Lasso and Logistic analysis, and a Nomogram prediction model was established. The external validation of Nomogram prediction model was performed in the verification group. 
Results The incidence of aspiration pneumonia was 42.86% in the modeling group and 44.05% in the verification group. The risk factors of aspiration pneumonia were advanced age, underlying pulmonary disease, increased score of National Institute of Health Stroke Scale (NIHSS), improper posture, no electromagnetic stimulation treatment, presence of pharyngeal residue, and elevated levels of C-reactive protein (CRP) level in peripheral blood, neutrophil-to-lymphocyte ratio (NLR), and leukocyte-erythrocyte ratio (LER) (P<0.05). The area under the curve (AUC) of Nomogram prediction model for predicting aspiration pneumonia was 0.957, and the calibration and clinical efficacy were good. 
Conclusion This Nomogram model is established based on the risk factors of aspiration pneumonia in elderly patients with dysphagia after cerebral infarction, including advanced age, underlying pulmonary diseases, increased NIHSS score, improper posture, no electromagnetic stimulation treatment, pharyngeal residue and elevated levels of CRP, NLR and LER in peripheral blood. This model has a certain value in predicting the occurrence of aspiration pneumonia, which is helpful for early clinical screening of high-risk patients and effective prevention and treatment, so as to reduce the occurrence of aspiration pneumonia.


Key words: cerebral infarction, dysphagia, sspiration pneumonia