基于帕累托图和秩和比分析的呼吸内科门诊疾病谱变化

Changes in disease spectrum of respiratory medicine outpatient department based on Pareto diagram and rank-sum ratio analysis

  • 摘要:
    目的  利用帕累托图和秩和比(RSR)等分析工具,分析郑州市某三甲医院呼吸内科门诊患者疾病谱变化,为调整呼吸系统疾病门诊诊疗策略,弹性配置门诊医疗资源等提供参考。
    方法  回顾性分析2018年1月1日-2024年12月31日于郑州大学附属郑州中心医院呼吸内科门诊就诊患者的临床资料;按照时间节点分为三个阶段:第一阶段(2018年1月1日-2019年12月31日);第二阶段(2020年1月1日-2022年12月31日);第三阶段(2023年1月1日-2024年12月31日);每个阶段选取10%的门诊患者作为抽样样本,以呼吸疾病诊断分类构建帕累托图曲线,并计算每个诊断分类的RSR相关参数,通过上述曲线和参数分析三个阶段呼吸内科门诊的疾病谱变化。
    结果 三个阶段呼吸内科门诊主要诊断差异有统计学意义,疾病谱不具备一致性(H=258.496,P<0.001),气管-支气管病变及急性上呼吸道感染均为主要诊断,三个阶段累积占比分别为48.54%、42.60%、37.72%;其RSR拟合值分别为1.000、0.957;第二阶段病毒性呼吸系统感染占比上升8.63%,变应性疾病占比上升1.75%,其RSR拟合值分别为0.720、0.641;第三阶段肺部影像学异常、非病毒性肺炎进入主要诊断序列,分别位列第3顺位、占比12.80%,第4顺位、占比10.14%;其RSR拟合值分别为0.888、0.819。
    结论 2018-2024年呼吸内科门诊疾病谱存在显著变化,呈现“气管-支气管炎或其他气管-支气管病变、急性上呼吸道感染等核心病种全程主导、中期病毒性感染驱动转型后期呼吸系统慢性疾病分化管理”三层结构。提醒医生应避免对呼吸道传染性疾病的过度诊断,重点关注慢性气道疾病、早期肺部肿瘤性疾病等慢性呼吸系统疾病的规范化诊疗。基于帕累托图、RSR值的呼吸内科门诊疾病谱变化分析,有助于实现呼吸内科门诊诊疗体系的精准化管理。

     

    Abstract:
    OBJECTIVE  To analyze the changes in the disease spectrum of patients from the respiratory medicine outpatient department of a three-A hospital in Zhengzhou City with analytical tools such as Pareto diagrams and rank-sum ratios (RSR), and to provide a reference for adjusting outpatient diagnosis and treatment strategies for respiratory diseases and flexibly allocating outpatient medical resources.
    METHODS  A retrospective analysis was conducted on the clinical data of patients who visited the Respiratory Medicine Outpatient Department of Zhengzhou Central Hospital Affiliated to Zhengzhou University from Jan. 1, 2018, to Dec. 31, 2024. The data were divided into three stages based on time nodes: Stage 1 (Jan. 1, 2018, to Dec. 31, 2019), Stage 2 (Jan. 1, 2020, to Dec. 31, 2022) and Stage 3 (Jan. 1, 2023, to Dec. 31, 2024). For each stage, 10% of the outpatient patients were selected as a sampling sample. A Pareto diagram curve was constructed based on the diagnosis classification of respiratory diseases, and RSR-related parameters for each diagnosis classification were calculated. The changes in the disease spectrum of the Respiratory Medicine Outpatient Department across the three stages were analyzed based on the above curve and parameters.
    RESULTS  The main diagnostic differences among the three stages of respiratory medicine outpatient department were statistically significant, with no consistency in the disease spectrum (H=258.496, P<0.001), tracheobronchial lesions and acute upper respiratory tract infections were the main diagnoses, with cumulative proportions of 48.54%, 42.60% and 37.72%, respectively, in the three stages. Their RSR fitting values were 1.000 and 0.957, respectively. In the second stage, the proportion of viral respiratory system infections increased by 8.63%, and the proportion of allergic diseases increased by 1.75%. Their RSR fitting values were 0.720 and 0.641, respectively. In the third stage, pulmonary imaging abnormalities and non-viral pneumonia entered the main diagnostic sequence, ranking third and fourth, with proportions of 12.80% and 10.14%, respectively. Their RSR fitting values were 0.888 and 0.819, respectively.
    CONCLUSIONS  There are significant changes in the disease spectrum of respiratory medicine outpatient department from 2018 to 2024, presenting a three-tier structure of "core diseases such as tracheobronchitis or other tracheobronchial lesions, acute upper respiratory tract infections dominating throughout the entire process, and mid-stage viral infections driving the transformation towards differentiated management of chronic respiratory diseases in the later stage". Doctors are reminded to avoid overdiagnosis of respiratory infectious diseases and focus on standardized diagnosis and treatment of chronic respiratory diseases such as chronic airway diseases and early lung neoplastic diseases. Analysis of changes in the disease spectrum of respiratory medicine outpatient department based on Pareto diagram and RSR values is helpful for achieving precise management of the respiratory medicine outpatient diagnosis and treatment system.

     

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