|本期目录/Table of Contents|

[1]张译梵,张海华,王 瑛,等.陕西省成人慢性阻塞性肺疾病危险因素及预测模型[J].中华肺部疾病杂志,2023,(03):312-317.[doi:10.3877/cma.j.issn.1674-6902.2023.03.003 ]
 Zhang Yifan,Zhang Haihua,Wang Ying,et al.Analysis and predictive model of adult chronic obstructive pulmonary disease in Shaanxi Province[J].,2023,(03):312-317.[doi:10.3877/cma.j.issn.1674-6902.2023.03.003 ]
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陕西省成人慢性阻塞性肺疾病危险因素及预测模型(PDF)

《中华肺部疾病杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2023年03期
页码:
312-317
栏目:
论著
出版日期:
2023-06-20

文章信息/Info

Title:
Analysis and predictive model of adult chronic obstructive pulmonary disease in Shaanxi Province
作者:
张译梵1张海华1王 瑛2高贵洲1王晓东1屈 林1张 涛1
710032 陕西,空军军医大学第二附属医院胸腔外科1、呼吸内科2
Author(s):
Zhang Yifan1 Zhang Haihua1 Wang Ying2 Gao Guizhou1 Wang Xiaodong1 Qu Lin1 Zhang Tao1.
1Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 710032 Xi'an, China; 2Department of Respiratory Medicine, Tangdu Hospital, Fourth Military Medical University, 710032 Xi'an, China
关键词:
肺疾病慢性阻塞性 危险因素 吸烟 预测模型
Keywords:
Chronic obstructive lung disease Risk factors Smoking Predictive model
分类号:
R563
DOI:
10.3877/cma.j.issn.1674-6902.2023.03.003
摘要:
目的 分析陕西省成人慢性阻塞性肺疾病(chronic obstructive pulmonary disease, COPD)的危险因素,建立预测模型,为陕西省开展COPD综合防控工作提供参考依据。方法 选择2021年6月至2021年12月空军军医大学第二附属医院肺功能室检查的1 160例患者为对象, COPD患者580例为观察组,健康者580例为对照组,两组完成相关问卷,比较单因素后对相关因素行多因素分析,建立列线图预测模型。结果 COPD危险因素是高龄(OR=9.908,95%CI:2.937~33.422)、吸烟史(OR=2.074,95%CI:1.605~2.681)、职业粉尘接触史(OR=1.934,95%CI:1.308~2.859)、家族呼吸道疾病史(OR=1.856,95%CI:1.303~2.643)、儿童时期呼吸道病史(OR=1.804,95%CI: 1.284~2.534)、生物质燃料使用史(OR=1.469,95%CI:1.048~2.061)。COPD风险预测模型AUC值为0.739; 校准曲线Y与X直线相近; 绘制决策曲线在阈值0.0~1.0范围内。吸烟年限与日吸烟量与COPD存在剂量-反应相关性,戒烟1年以上可以少量减少COPD风险。结论 COPD危险因素是高龄、吸烟史、职业粉尘接触史、家族呼吸道疾病史、儿童时期呼吸道病史、生物质燃料使用史,应采取相关措施预防COPD,根据上述因素建立的COPD风险预测模型具有临床意义。
Abstract:
Objective To analyze the risk factors that lead to chronic obstructive pulmonary disease and establish a relevant prediction model to provide a reference for the comprehensive prevention and control of chronic obstructive pulmonary disease in Shaanxi Province. Methods A total of 1 160 patients who underwent pulmonary function examination in the Second Affiliated Hospital of Air Force Medical University from June 2021 to December 2021 were selected as subjects, including 580 patients with chronic obstructive pulmonary disease(observation group)and 580 control groups, requiring them to complete the relevant questionnaire. After comparing the single factors, it was analyzed that the relevant factors and established a column to establish a column. The nomogram predicts the model. Results The risk factors of chronic obstructive pulmonary disease are the age(OR=9.908, 95%CI:2.937-33.422), the history of smoking(OR= 2.074, 95%CI:1.605-2.681), and the history of occupational dust contact(OR=1.934,95%CI:1.308-2.859), the history of family respiratory disease(OR=1.856, 95%CI: 1.303-2.643), the history of respiratory tract medical period(OR=1.804, 95%CI: 1.284-2.534), and the history of biomass fuel(OR=1.469,95%CI: 1.048-2.061). According to the chronic obstructive pulmonary risk prediction model constructed by risk factors, the AUC value is 0.739; the calibration curve Y and X are similar; the decision-making curve is within the range of 0.0-1.0. The smoking period and daily smoking volume and chronic obstructive pulmonary disease have dosage-reaction correlation and can reduce the risk of chronic obstructive pulmonary disease for more than 1 year. Conclusions The risk factors of patients with chronic obstructive pulmonary disease are the history of age, the history of smoking, the history of occupational dust contact, the history of family respiratory diseases, the history of the respiratory tract disease, and the history of biomass fuel. Chronic obstructive pulmonary risk prediction model has certain predictive value.

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备注/Memo

备注/Memo:
基金项目: 陕西省重点产业创新链(2023-ZDLSF-51)
通信作者: 张 涛, Email: zhangft@fmmu.edu.cn
更新日期/Last Update: 2023-06-20