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老年骨质疏松性骨折的流行病学特征及其与空气污染物的关系：河北省多中心研究

Epidemiological characteristics of elderly osteoporosis fractures and their association with air pollutants: a multi-center study in Hebei Province.

作者信息

Hou Guangzhao, Xiao Qian, Ye Zhipeng, Liu Shihang, Zhou Shuai, Wang Yan, Li Wenjing, Zhang Yingze, Lv Hongzhi

机构信息

Hebei Provincial Key Laboratory of Orthopaedic Biomechanics, Hebei Orthopaedic Research Institute, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.

Trauma Emergency Center, The Third Hospital of Hebei Medical University, No. 139 Ziqiang Road, Shijiazhuang, 050051, China.

出版信息

Sci Rep. 2024 Dec 30;14(1):31612. doi: 10.1038/s41598-024-77379-6.

DOI:10.1038/s41598-024-77379-6
PMID:39738137
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11685584/
Abstract

To investigate the population distribution characteristics of elderly osteoporosis fracture patients in Hebei Province and analyze the effects of air pollutants on elderly osteoporosis fractures, We retrospectively collected 18,933 cases of elderly osteoporosis fractures from January 1, 2019, to December 31, 2022, from four hospitals in Hebei Province. The average age was 76.44 ± 7.58 years, predominantly female (13,189 patients, 69.66%). The number of hospitalized patients increased progressively from 2019 to 2022. The Distribution Lag Nonlinear Model (DLNM) showed that the cumulative lagged effects of PM2.5 and PM10 on the number of hospitalized elderly osteoporosis fracture patients exhibited a bimodal distribution, with the Relative Risk (RR) reaching its peak at a 1-day lag (PM2.5: RR = 1.032, 95% CI: 1.019, 1.045; PM10: RR = 1.022, 95% CI: 1.014, 1.029). Similarly, the cumulative lagged effect of NO displayed a bimodal pattern, with the RR peaking at a 12-day lag (RR = 1.138, 95% CI: 1.101, 1.187). The single-day lag effect of SO was statistically significant from day 9 to day 12, reaching its maximum at day 11 (RR = 1.054, 95% CI: 1.032, 1.71). PM2.5, PM10, NO, and SO increase the risk of osteoporosis fractures in the elderly, including single-day and cumulative lag effects. Further studies are needed to explore the molecular mechanisms behind this relationship.

摘要

为调查河北省老年骨质疏松性骨折患者的人群分布特征，并分析空气污染物对老年骨质疏松性骨折的影响，我们回顾性收集了2019年1月1日至2022年12月31日期间河北省四家医院的18933例老年骨质疏松性骨折病例。平均年龄为76.44±7.58岁，以女性为主（13189例患者，占69.66%）。2019年至2022年住院患者数量逐渐增加。分布滞后非线性模型（DLNM）显示，PM2.5和PM10对老年骨质疏松性骨折住院患者数量的累积滞后效应呈双峰分布，相对风险（RR）在滞后1天达到峰值（PM2.5：RR = 1.032，95%可信区间：1.019，1.045；PM10：RR = 1.022，95%可信区间：1.014，1.029）。同样，NO的累积滞后效应也呈双峰模式，RR在滞后12天达到峰值（RR = 1.138，95%可信区间：1.101，1.187）。SO的单日滞后效应在第9天至第12天具有统计学意义，在第11天达到最大值（RR = 1.054，95%可信区间：1.032，1.71）。PM2.5、PM10、NO和SO增加了老年人骨质疏松性骨折的风险，包括单日和累积滞后效应。需要进一步研究以探索这种关系背后的分子机制。

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