The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen 518000, China.
School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
J Infect Public Health. 2023 Apr;16(4):483-489. doi: 10.1016/j.jiph.2023.01.018. Epub 2023 Jan 25.
Although the COVID-19 pandemic has persisted for more than two years with the evident excess mortality from diabetes, few studies have investigated its temporal patterns. This study aims to estimate the excess deaths from diabetes in the United States (US) during the COVID-19 pandemic and evaluate the excess deaths by spatiotemporal pattern, age groups, sex, and race/ethnicity.
Diabetes as one of multiple causes of death or an underlying cause of death were both considered into analyses. The Poisson log-linear regression model was used to estimate weekly expected counts of deaths during the pandemic with adjustments for long-term trend and seasonality. Excess deaths were measured by the difference between observed and expected death counts, including weekly average excess deaths, excess death rate, and excess risk. We calculated the excess estimates by pandemic wave, US state, and demographic characteristic.
From March 2020 to March 2022, deaths that diabetes as one of multiple causes of death and an underlying cause of death were about 47.6 % and 18.4 % higher than the expected. The excess deaths of diabetes had evident temporal patterns with two large percentage increases observed during March 2020, to June 2020, and June 2021 to November 2021. The regional heterogeneity and underlying age and racial/ethnic disparities of the excess deaths were also clearly observed.
This study highlighted the increased risks of diabetes mortality, heterogeneous spatiotemporal patterns, and associated demographic disparities during the pandemic. Practical actions are warranted to monitor disease progression, and lessen health disparities in patients with diabetes during the COVID-19 pandemic.
尽管 COVID-19 大流行已经持续了两年多,糖尿病导致的超额死亡率明显升高,但很少有研究调查其时间模式。本研究旨在估计 COVID-19 大流行期间美国糖尿病的超额死亡人数,并评估时空模式、年龄组、性别和种族/族裔的超额死亡人数。
将糖尿病作为多种死因之一或死因的根本原因均纳入分析。使用泊松对数线性回归模型来估计大流行期间每周的预期死亡人数,同时调整长期趋势和季节性因素。通过观察到的死亡人数与预期死亡人数之间的差异来衡量超额死亡人数,包括每周平均超额死亡人数、超额死亡率和超额风险。我们按大流行波次、美国各州和人口特征计算超额估计数。
从 2020 年 3 月至 2022 年 3 月,糖尿病作为多种死因之一和死因根本原因的死亡人数比预期分别高出约 47.6%和 18.4%。糖尿病的超额死亡人数具有明显的时间模式,在 2020 年 3 月至 2020 年 6 月和 2021 年 6 月至 2021 年 11 月期间观察到两次明显的百分比增长。也明显观察到了区域异质性以及超额死亡的潜在年龄和种族/族裔差异。
本研究强调了大流行期间糖尿病死亡风险增加、时空模式异质性以及与人口统计学相关的差异。需要采取实际行动来监测疾病进展,并减轻 COVID-19 大流行期间糖尿病患者的健康差异。