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Abstract：
BACKGROUND: Spinal injuries are an urgent public health priority; nevertheless, no China-wide studies of these injuries exist. This study measured the incidence, prevalence, causes, regional distribution, and annual trends of spinal injuries in China from 1990 to 2019.
METHODS: We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 to estimate the incidence and prevalence of spinal injuries in China. The data of 33 provincial-level administrative regions (excluding Taiwan, China) provided by the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (CDC) were use to systematically analyze the provincial etiology, geographical distribution, and annual trends of spinal injuries. The Bayesian meta-regression tool DisMod-MR 2.1 was used to ensure the consistency among incidence, prevalence, and mortality rates in each case.
RESULTS: From 1990 to 2019, the number of living patients with spinal injuries in China increased by 138.32%, from 2.14 million to 5.10 million, while the corresponding age-standardized prevalence increased from 0.20% (95% uncertainty interval [UI]: 0.18-0.21%) to 0.27% (95% UI: 0.26-0.29%). The incidence of spinal injuries in China increased by 89.91% (95% UI: 72.39-107.66%), and the prevalence increased by 98.20% (95% UI: 89.56-106.82%), both the most significant increases among the G20 countries; 71.00% of the increase could be explained by age-specific prevalence. In 2019, the incidence was 16.47 (95% UI: 12.08-22.00, per 100,000 population), and the prevalence was 358.30 (95% UI: 333.96-386.62, per 100,000 population). Based on the data of 33 provincial-level administrative regions provided by CDC, age-standardized incidence and prevalence were both highest in developed provinces in Eastern China. The primary causes were falls and road injuries; however, the prevalence and specific causes differed across provinces.
CONCLUSIONS: In China, the overall disease burden of spinal injuries increased significantly during the past three decades but varied considerably according to geographical location. The primary causes were falls and road injuries; however, the prevalence and specific causes differed across provinces.
METHODS: We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 to estimate the incidence and prevalence of spinal injuries in China. The data of 33 provincial-level administrative regions (excluding Taiwan, China) provided by the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (CDC) were use to systematically analyze the provincial etiology, geographical distribution, and annual trends of spinal injuries. The Bayesian meta-regression tool DisMod-MR 2.1 was used to ensure the consistency among incidence, prevalence, and mortality rates in each case.
RESULTS: From 1990 to 2019, the number of living patients with spinal injuries in China increased by 138.32%, from 2.14 million to 5.10 million, while the corresponding age-standardized prevalence increased from 0.20% (95% uncertainty interval [UI]: 0.18-0.21%) to 0.27% (95% UI: 0.26-0.29%). The incidence of spinal injuries in China increased by 89.91% (95% UI: 72.39-107.66%), and the prevalence increased by 98.20% (95% UI: 89.56-106.82%), both the most significant increases among the G20 countries; 71.00% of the increase could be explained by age-specific prevalence. In 2019, the incidence was 16.47 (95% UI: 12.08-22.00, per 100,000 population), and the prevalence was 358.30 (95% UI: 333.96-386.62, per 100,000 population). Based on the data of 33 provincial-level administrative regions provided by CDC, age-standardized incidence and prevalence were both highest in developed provinces in Eastern China. The primary causes were falls and road injuries; however, the prevalence and specific causes differed across provinces.
CONCLUSIONS: In China, the overall disease burden of spinal injuries increased significantly during the past three decades but varied considerably according to geographical location. The primary causes were falls and road injuries; however, the prevalence and specific causes differed across provinces.
摘要：
背景：脊柱损伤是一个紧迫的公共卫生优先事项；然而，没有中国范围内对这些伤害的研究。这项研究测量了发病率，患病率,原因,区域分布,1990年至2019年中国脊柱损伤的年度趋势。
方法：我们使用了来自全球疾病负担的数据，受伤,和危险因素研究2019，以估计中国脊柱损伤的发病率和患病率。国家慢性非传染性疾病预防控制中心提供的33个省级行政区（不含台湾）数据，用中国疾病预防控制中心(CDC)系统的分析,脊柱损伤的地理影像数据分布和年度趋势。贝叶斯元回归工具DisMod-MR2.1用于确保发病率之间的一致性，患病率,以及每种情况下的死亡率。
结果：从1990年到2019年，中国脊柱损伤的活体患者人数增加了138.32％，从214万到510万，而相应的年龄标准化患病率从0.20%上升到0.27%。我国脊柱损伤的发病率增加了89.91%(72.39-107.66),患病率增加了98.20%(95%不确定区间[UI]：89.56-106.82)，在G20国家中，这两个增长都是最显著的；71.00%的增长可以解释为特定年龄的患病率。2019年，发病率为16.47（95％UI：12.08-22.00，每10万人），患病率为每100,000人口358.30（95％UI：333.96-386.62）。根据疾控中心提供的33个省级行政区的数据，中国东部发达省份的年龄标准化发病率和患病率均最高.主要原因是跌倒和道路伤害；然而，各省的患病率和具体原因不同。
结论：在中国，在过去的30年中,脊柱损伤的总体疾病负担显著增加,但根据地理影像数据位置的不同,其差异很大.主要原因是跌倒和道路伤害；然而，各省的患病率和具体原因不同。
方法：我们使用了来自全球疾病负担的数据，受伤,和危险因素研究2019，以估计中国脊柱损伤的发病率和患病率。国家慢性非传染性疾病预防控制中心提供的33个省级行政区（不含台湾）数据，用中国疾病预防控制中心(CDC)系统的分析,脊柱损伤的地理影像数据分布和年度趋势。贝叶斯元回归工具DisMod-MR2.1用于确保发病率之间的一致性，患病率,以及每种情况下的死亡率。
结果：从1990年到2019年，中国脊柱损伤的活体患者人数增加了138.32％，从214万到510万，而相应的年龄标准化患病率从0.20%上升到0.27%。我国脊柱损伤的发病率增加了89.91%(72.39-107.66),患病率增加了98.20%(95%不确定区间[UI]：89.56-106.82)，在G20国家中，这两个增长都是最显著的；71.00%的增长可以解释为特定年龄的患病率。2019年，发病率为16.47（95％UI：12.08-22.00，每10万人），患病率为每100,000人口358.30（95％UI：333.96-386.62）。根据疾控中心提供的33个省级行政区的数据，中国东部发达省份的年龄标准化发病率和患病率均最高.主要原因是跌倒和道路伤害；然而，各省的患病率和具体原因不同。
结论：在中国，在过去的30年中,脊柱损伤的总体疾病负担显著增加,但根据地理影像数据位置的不同,其差异很大.主要原因是跌倒和道路伤害；然而，各省的患病率和具体原因不同。
