Department of Laboratory and Quarantine, Dalian Medical University, Dalian, China.
Medicine (Baltimore). 2024 Nov 29;103(48):e40730. doi: 10.1097/MD.0000000000040730.
This study evaluates the sensitivity of major chronic diseases to the collapse of the healthcare system for developing prevention and control strategies under normal and emergency conditions. Data for the years 2018, 2019, and 2020 (coronavirus disease 2019 [COVID-19] pandemic) were curated from the National Disease Mortality Surveillance System, Chinese Center for Disease Control and Prevention for diseases such as cancer, heart disease (HD), cerebrovascular disease (CVD), and chronic obstructive pulmonary disease (COPD). The yearly death rate change for 2018, 2019, and 2020 were calculated. Similarly, expected and observed death cases, 95% confidence intervals, and Z-score were calculated for the year 2020 (COVID-19 pandemic). Furthermore, linear regression analysis was performed to analyze a correlation between the median age of various groups and the mortality rate. The observed death cases for cerebrovascular, heart, and other chronic diseases, were more than the expected death cases (430,007 vs 421,317, 369,684 vs 368,957, and 302,974 vs 300,366) as well as an upper limit of 95% confidence interval. The observed death cases for COPD and cancer are less than the expected death cases (127,786 vs 140,524, 450,346 vs 463,961) and lower limit of the 95% confidence interval. The highest Z-score was noted for cerebrovascular disease (105.14). The disease impact of severity was CVD, other chronic diseases, and HD in descending order. The unexpected decline in deaths was found for COPD and cancers with Z-scores (-166.45 and -116.32). The severity of impact was CVD, other chronic diseases, HD, cancer, and COPD in descending order. The COVID-19 pandemic has also resulted in an increase in deaths of the relatively young population as shown by the difference in rate of slop. The healthcare system collapsed due to prevention, control measures and increased burden of COVID-19 patients, affected chronic disease treatment/management and as a consequence variation in death rates occurs in different chronic diseases. A marked increase in mortality was observed in cerebrovascular disease. The unexpected decline in deaths from COPD and cancers, and increase in deaths of the relatively young population suggests that there may be opportunities for improvement in chronic disease management.
本研究评估了主要慢性病在正常和紧急情况下对医疗体系崩溃的敏感性,以制定预防和控制策略。数据来自中国疾病预防控制中心国家疾病死因监测系统,年份为 2018 年、2019 年和 2020 年(新冠肺炎大流行),包括癌症、心脏病(HD)、脑血管病(CVD)和慢性阻塞性肺疾病(COPD)等疾病。计算了 2018 年、2019 年和 2020 年的年死亡率变化。同样,计算了 2020 年(新冠肺炎大流行)的预期和观察死亡病例、95%置信区间和 Z 分数。此外,进行了线性回归分析,以分析各组中位数年龄与死亡率之间的相关性。观察到的脑血管病、心脏病和其他慢性病的死亡人数超过了预期的死亡人数(430,007 比 421,317、369,684 比 368,957 和 302,974 比 300,366)以及 95%置信区间的上限。COPD 和癌症的观察死亡人数低于预期死亡人数(127,786 比 140,524、450,346 比 463,961)和 95%置信区间的下限。CVD 的 Z 分数最高(105.14)。按严重程度依次为 CVD、其他慢性病和 HD。COPD 和癌症的死亡人数意外下降,Z 分数分别为(-166.45 和-116.32)。按严重程度降序依次为 CVD、其他慢性病、HD、癌症和 COPD。新冠肺炎大流行还导致相对年轻人群的死亡率上升,这一点可以从斜率的差异看出。由于预防和控制措施以及 COVID-19 患者负担增加,医疗体系崩溃,影响了慢性病的治疗/管理,因此不同慢性病的死亡率出现了变化。观察到脑血管病的死亡率显著增加。COPD 和癌症的死亡人数意外下降,以及相对年轻人群的死亡人数增加,表明慢性病管理可能有改进的机会。