Second Clinical College, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Public Health. 2023 Jun 15;11:1180818. doi: 10.3389/fpubh.2023.1180818. eCollection 2023.
Currently, tuberculous pleurisy (TP) remains a serious problem affecting global public health, including in China. Our purpose was to comprehensively understand and identify the incidence of TP in mainland China between 2005 and 2018.
The data on registered TP cases from 2005 to 2018 were acquired from the National Tuberculosis Information Management System. We analyzed the demographics, epidemiology, and time-space distribution of TP patients. Then, the effects of potentially influential factors on TP incidences, such as medical expenses per capita, GDP per capita, and population density, were assessed using the Spearman correlation coefficient.
The incidence of TP increased in mainland China from 2005 to 2018, with a mean incidence of 2.5 per 100,000 population. Interestingly, spring was the peak season for TP, with more notified cases. Tibet, Beijing, Xinjiang, and Inner Mongolia had the highest mean annual incidence. A moderate positive relationship was found between TP incidence, medical expenses per capita, and GDP per capita.
The notified incidence of TP had an elevated trend from 2005 to 2018 in mainland China. The findings of this study provide insight into the knowledge of TP epidemiology in the country, which can help optimize resource allocation to reduce the TP burden.
目前，结核性胸膜炎（TP）仍然是一个严重的全球性公共卫生问题，包括在中国。我们的目的是全面了解和识别 2005 年至 2018 年中国大陆 TP 的发病率。
从全国结核病信息管理系统获取 2005 年至 2018 年登记的 TP 病例数据。分析 TP 患者的人口统计学、流行病学和时空分布。然后，使用 Spearman 相关系数评估人均医疗费用、人均 GDP 和人口密度等潜在影响因素对 TP 发病率的影响。
中国大陆 TP 的发病率从 2005 年到 2018 年呈上升趋势，平均发病率为 2.5/10 万。有趣的是，春季是 TP 的高发季节，报告的病例较多。西藏、北京、新疆和内蒙古的年平均发病率最高。TP 发病率与人均医疗费用和人均 GDP 之间存在中度正相关关系。
中国大陆 2005 年至 2018 年报告的 TP 发病率呈上升趋势。本研究的结果提供了对中国 TP 流行病学知识的深入了解，这有助于优化资源分配，减轻 TP 负担。
