Tong Suijun, Yin Peng, Li Jianhong, Zhao Zhenping, Zhou Yuchang, Zhou Maigeng
National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Heliyon. 2024 Dec 27;11(1):e41497. doi: 10.1016/j.heliyon.2024.e41497. eCollection 2025 Jan 15.
Previous studies have found an association between influenza, cardiovascular and cerebrovascular disease mortality, and all-cause mortality. And the vaccination of elderly diabetes is often recommended to reduce the risk of hospitalization and death. Nevertheless, no previous work has investigated the short-term impact of influenza on diabetes mortality in China. In this study, data from the national surveillance system was used to quantify the impact of influenza on diabetes-related mortality and provide guidance for the care of diabetes patients.
Data from the National Influenza Surveillance Center was collected for the period between 2015 and 2019 and weekly diabetes-related deaths were calculated from China's Disease Surveillance Points System (CDSP). A distributed non-linear lag model (DLNM) was used to 1] analyze the delayed impact of high influenza virus-positive rates on diabetes-related mortality, 2] calculate the relative risk of diabetes deaths caused by high influenza virus-positive rate, and 3] estimate the attributable risk of diabetes deaths caused by influenza in China.
A total of 260 weeks of influenza weekly data from southern and northern China were included in this study. This resulted in 256,845 diabetes-related deaths with an average age of 73.36 years. During this period, the mean influenza virus-positive rate was 12.79 %. The relative risk of death from diabetes at high influenza positive rate was 1.33 (95 % CI [1.25, 1.40]) in southern China and 1.14 (95 % CI [1.08, 1.20]) in northern China for a 3-week lag. The estimated population attributable fraction (PAF) was 9.64 % (95 % CI [6.6 %, 12.55 %]) in southern China and 1.69 % (95 % CI [-0.04 %, 3.35 %]) in northern China. The present study suggest that reducing the influenza virus-positive rate to optimal levels could potentially prevent approximately 10,871 diabetes-related deaths annually.
A high influenza virus-positive rate is associated with an increased risk of diabetes-related mortality. Moreover, this effect is consistent across geographical areas and gender groups. Overall, the present study suggests that the risk of diabetes-related mortality attributable to influenza is high in China.
先前的研究发现流感、心血管和脑血管疾病死亡率与全因死亡率之间存在关联。并且通常建议老年糖尿病患者接种疫苗以降低住院和死亡风险。然而,此前尚无研究调查流感对中国糖尿病死亡率的短期影响。在本研究中,利用国家监测系统的数据来量化流感对糖尿病相关死亡率的影响,并为糖尿病患者的护理提供指导。
收集了国家流感监测中心2015年至2019年期间的数据,并根据中国疾病监测点系统(CDSP)计算每周糖尿病相关死亡人数。采用分布非线性滞后模型(DLNM)来:1] 分析高流感病毒阳性率对糖尿病相关死亡率的延迟影响;2] 计算高流感病毒阳性率导致糖尿病死亡的相对风险;3] 估计中国流感导致糖尿病死亡的归因风险。
本研究纳入了中国南方和北方共260周的流感每周数据。这导致了256,845例糖尿病相关死亡,平均年龄为73.36岁。在此期间,平均流感病毒阳性率为12.79%。对于3周的滞后,中国南方高流感阳性率时糖尿病死亡的相对风险为1.33(95%可信区间[1.25, 1.40]),中国北方为1.14(95%可信区间[1.08, 1.20])。估计人群归因分数(PAF)在中国南方为9.64%(95%可信区间[6.6%, 12.55%]),在中国北方为1.69%(95%可信区间[-0.04%, 3.35%])。本研究表明,将流感病毒阳性率降低到最佳水平每年可能预防约10,871例糖尿病相关死亡。
高流感病毒阳性率与糖尿病相关死亡率增加有关。此外,这种影响在不同地理区域和性别群体中是一致的。总体而言,本研究表明中国流感导致的糖尿病相关死亡风险很高。