赵若倩, 黄玉蓉, 罗倩, 刘小丽. 兵团多基层医院肺功能指标差异特征—融合人群特征与质控结果的多维分析. 2026. biomedRxiv.202601.00061
兵团多基层医院肺功能指标差异特征—融合人群特征与质控结果的多维分析
通讯作者: 黄玉蓉, 18999190129@qq.com
DOI:10.12201/bmr.202601.00061
Multidimensional Analysis of Differences in Pulmonary Function Indexes among Grassroots Hospitals in Corps—Combining Population Characteristics and Quality Control Results
Corresponding author: Huang Yurong, 18999190129@qq.com
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摘要:[摘要]目的 探究兵团基层不同层级医疗机构(师属医院、团场分院)及片区(哈密、北疆)人群的肺功能指标特征,分析质控状态、人口学因素:体重指数(BMI)、年龄、性别对肺功能的影响,为基层呼吸系统疾病早期筛查与质控管理提供依据。方法 选取兵团23家基层医疗机构,采集5596例受试者的肺功能核心指标、肺功能检查质控结果,以及受试者BMI、年龄、性别等人口学数据;采用独立样本t检验、Pearson 相关分析、多因素方差分析等方法,比较不同分组的肺功能差异,分析指标关联,并结合文献探讨差异来源与机制。结果 ①组间差异:团场分院小气道指标异常率(25% Pred:73.7%、50% Pred:55.1%、75% Pred:53.4%)显著高于师属医院(P<0.001);北疆地区区通气功能(FEV?、FEV?/FVC)优于哈密片区,而哈密片区肺容积(FVC)更高(P<0.001)。② 指标关联:肺容积类指标(FVC 与 VC)、通气动力类指标(PEF 与 MEP)呈极强正相关(r>0.95),FEV?/FVC 与肺容积指标关联极弱(r≈0)。③影响因素:年龄与 FEV?呈显著负相关(β=-0.109,P<0.001),BMI 对肺功能无显著独立影响;质控不合格组的 FVC、FEV?等指标均值显著高于合格组(P<0.001)。结论 兵团基层不同层级、片区的肺功能指标及小气道异常率存在显著差异,质控状态、年龄是肺功能的关键影响因素。基层需强化团场及特殊人群的肺功能质控管理,结合片区、年龄特征制定分层筛查策略,以提升呼吸系统疾病早期防控效率。
Abstract: 【Abstract】Objective Investigate the characteristics of pulmonary function indicators among different levels of medical institutions (division-affiliated hospitals, regimental branch hospitals) and regions (Hami, Northern Xinjiang) in the grassroots units, analyze the quality control status and demographic factors: the impact of body mass index (BMI), age, and gender on pulmonary function, to provide a basis for early screening and quality control management of respiratory diseases at the grassroots level.Methods A total of 23 primary healthcare institutions in the Corps were selected to collect core pulmonary function indicators, quality control results of pulmonary function tests, as well as demographic data such as BMI, age, and gender from 5,596 subjects. Methods including independent samples t-test, Pearson correlation analysis, and multivariate analysis of variance were employed to compare pulmonary function differences among groups, analyze the correlation of indicators, and explore the sources and mechanisms of these differences in conjunction with literature.Results ① Between-group differences: The abnormal rate of small airway indicators in the regimental branch hospitals (25% Pred: 73.7%,50% Pred: 55.1%,75% Pred: 53.4%) was significantly higher than that in the division-affiliated hospitals (P<0.001). The ventilation function (FEV?, FEV?/FVC) in the Northern Xinjiang region was superior to that in the Hami region, while the Hami region exhibited higher lung volume (FVC) (P<0.001). ② Indicator associations: Lung volume-related indicators (FVC and VC) and ventilation dynamic indicators (PEF and MEP) showed a strong positive correlation (r>0.95), whereas the association between FEV?/FVC and lung volume indicators was weak (r≈0). ③ Influencing factors: Age was significantly negatively correlated with FEV? (β=-0.109, P<0.001), and BMI had no significant independent effect on lung function. The mean values of FVC, FEV?, and other indicators in the non-compliant quality control group were significantly higher than those in the compliant group (P<0.001).Conclusion There are significant differences in pulmonary function indicators and small airway abnormalities among different levels and regions within the grassroots units of the regiment. Quality control status and age are key influencing factors for pulmonary function. Grassroots units need to strengthen the quality control management of pulmonary function for regimental farms and special populations, and develop stratified screening strategies based on regional and age characteristics to improve the efficiency of early prevention and control of respiratory diseases.
Key words: Grassroots medical institutions of the corps; pulmonary function; quality control; small airway function; population stratification提交时间:2026-01-20
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序号 提交日期 编号 操作 1 2026-01-06 10.12201/bmr.202601.00061V1
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