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Proctor DW, Goodall R, Borsky K, Salciccioli JD, Marshall DC, Shanmugarajah K, Mohamed A, Shalhoub J. Trends in the mortality, incidence and disability-adjusted life-years of appendicitis in EU15+ countries: an observational study of the Global Burden of Disease Database, 1990-2019. Int J Surg 2023; 109:2608-2613. [PMID: 37232122 PMCID: PMC10498886 DOI: 10.1097/js9.0000000000000499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/10/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Appendicitis places a substantial burden on healthcare systems, with acute appendicitis alone being the most common abdominal surgical emergency worldwide. Further characterisation of the disease burden in EU15+ countries may help optimise the distribution of healthcare resources. The aim of this observational study was to assess the trends in mortality, incidence and disability-adjusted life-years (DALYs) of appendicitis across European Union (EU) 15+ countries between the years 1990 and 2019, Supplemental Digital Content 3, http://links.lww.com/JS9/A589 . MATERIALS AND METHODS Age-standardised mortality rates (ASMRs), age-standardised incidence rates (ASIRs) and DALYs data for appendicitis in males and females were extracted from the 2019 Global Burden of Disease (GBD) study. Temporal trends within the study period were analysed using Joinpoint regression analysis. RESULTS The median ASMRs across EU15+ countries in 2019 were 0.08/100 000 and 0.13/100 000 for females and males, respectively. Between 1990 and 2019 the median percentage change in ASMR was -52.12% for females and -53.18% in males. The median ASIRs in 2019 for females and males were 251/100 000 and 278/100 000, respectively, with a median percentage change of +7.22% for females and +3.78% for males during the observation period. Decreasing trends in DALYs were observed over the 30-year study period, with median percentage changes of -23.57% and -33.81% for females and males, respectively, Supplemental Digital Content 3, http://links.lww.com/JS9/A589 . CONCLUSION Overall, a general trend of decreasing appendicitis ASMRs and DALYs was observed across EU15+ countries, despite small overall increases in appendicitis ASIRs, Supplemental Digital Content 3, http://links.lww.com/JS9/A589 . Variations in both diagnostic and management strategies over the study period are likely contributory to the changing trends.
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Affiliation(s)
| | | | - Kim Borsky
- Department of Plastic Surgery, Salisbury Hospital, Salisbury, UK
| | - Justin D. Salciccioli
- Department of Medicine, Mount Auburn Hospital, Harvard Medical School, Cambridge, MA
| | | | | | - Abdulla Mohamed
- Imperial College Healthcare NHS Trust
- Imperial College London, London
| | - Joseph Shalhoub
- Imperial College Healthcare NHS Trust
- Imperial College London, London
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Ruan X, Li Y, Jin X, Deng P, Xu J, Li N, Li X, Liu Y, Hu Y, Xie J, Wu Y, Long D, He W, Yuan D, Guo Y, Li H, Huang H, Yang S, Han M, Zhuang B, Qian J, Cao Z, Zhang X, Xiao J, Xu L. Health-adjusted life expectancy (HALE) in Chongqing, China, 2017: An artificial intelligence and big data method estimating the burden of disease at city level. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2021; 9:100110. [PMID: 34379708 PMCID: PMC8315391 DOI: 10.1016/j.lanwpc.2021.100110] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 01/25/2021] [Accepted: 02/03/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND A universally applicable approach that provides standard HALE measurements for different regions has yet to be developed because of the difficulties of health information collection. In this study, we developed a natural language processing (NLP) based HALE estimation approach by using individual-level electronic medical records (EMRs), which made it possible to calculate HALE timely in different temporal or spatial granularities. METHODS We performed diagnostic concept extraction and normalisation on 13•99 million EMRs with NLP to estimate the prevalence of 254 diseases in WHO Global Burden of Disease Study (GBD). Then, we calculated HALE in Chongqing, 2017, by using the life table technique and Sullivan's method, and analysed the contribution of diseases to the expected years "lost" due to disability (DLE). FINDINGS Our method identified a life expectancy at birth (LE0) of 77•9 years and health-adjusted life expectancy at birth (HALE0) of 71•7 years for the general Chongqing population of 2017. In particular, the male LE0 and HALE0 were 76•3 years and 68•9 years, respectively, while the female LE0 and HALE0 were 80•0 years and 74•4 years, respectively. Cerebrovascular diseases, cancers, and injuries were the top three deterioration factors, which reduced HALE by 2•67, 2•15, and 1•19 years, respectively. INTERPRETATION The results demonstrated the feasibility and effectiveness of EMRs-based HALE estimation. Moreover, the method allowed for a potentially transferable framework that facilitated a more convenient comparison of cross-sectional and longitudinal studies on HALE between regions. In summary, this study provided insightful solutions to the global ageing and health problems that the world is facing. FUNDING National Key R and D Program of China (2018YFC2000400).
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Affiliation(s)
- Xiaowen Ruan
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - Yue Li
- China Population and Development Research Center, 12 Dahuisi Road, Haidian District, Beijing 100801, China
| | - Xiaohui Jin
- Ping An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China
| | - Pan Deng
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - Jiaying Xu
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - Na Li
- Ping An Technology (Shenzhen) Co., Ltd., Ping An International Finance Centre, No. 3, South Xinyuan Road, Chaoyang District, Beijing 100011, China
| | - Xian Li
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - Yuqi Liu
- Ping An Technology (Shenzhen) Co., Ltd., Ping An International Finance Centre, No. 3, South Xinyuan Road, Chaoyang District, Beijing 100011, China
| | - Yiyi Hu
- Ping An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China
| | - Jingwen Xie
- Ping An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China
| | - Yingnan Wu
- Ping An Technology (Shenzhen) Co., Ltd., Ping An International Finance Centre, No. 3, South Xinyuan Road, Chaoyang District, Beijing 100011, China
| | - Dongyan Long
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - Wen He
- Ping An Technology (Shenzhen) Co., Ltd., Ping An International Finance Centre, No. 3, South Xinyuan Road, Chaoyang District, Beijing 100011, China
| | - Dongsheng Yuan
- Ping An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China
| | - Yifei Guo
- Ping An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China
| | - Heng Li
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - He Huang
- Chongqing Municipal Health Commission, No. 232 Renmin Road, Yuzhong District, Chongqing 400015, China
| | - Shan Yang
- Chongqing Municipal Health Commission, No. 232 Renmin Road, Yuzhong District, Chongqing 400015, China
| | - Mei Han
- Ping An Technology (Shenzhen) Co., Ltd., Ping An Tech, US Research Lab, Suite 150, 3000 EI Camino Real, Palo Alto, CA 94306, United States
| | - Bojin Zhuang
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - Jiang Qian
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - Zhenjie Cao
- Ping An Technology (Shenzhen) Co., Ltd., Ping An Tech, US Research Lab, Suite 150, 3000 EI Camino Real, Palo Alto, CA 94306, United States
| | - Xuying Zhang
- China Population and Development Research Center, 12 Dahuisi Road, Haidian District, Beijing 100801, China
| | - Jing Xiao
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
| | - Liang Xu
- Ping An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China
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Wickramasinghe DP, Xavier C, Samarasekera DN. The Worldwide Epidemiology of Acute Appendicitis: An Analysis of the Global Health Data Exchange Dataset. World J Surg 2021; 45:1999-2008. [PMID: 33755751 DOI: 10.1007/s00268-021-06077-5] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/06/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND This study aims to describe the worldwide epidemiology and changing disease trends of acute appendicitis (AA). METHODS Epidemiological data on the incidence of AA and deaths were collected from the Global Health Data Exchange repository from 1990 to 2019. Data were stratified by age, sex and Socio-Demographic Index (SDI). RESULTS In 2019, there were an estimated 17.7 million cases (incidence 228/100,000) with over 33,400 deaths (0.43/100,000). Both the absolute number and the incidence had increased from 1990 to 2019 (+ 38.8% and + 11.4%, respectively). The number of deaths and deaths per 100,000 declined during this period (- 21.8% and - 46.2%, respectively). These trends were largely similar in all 5 SDI groups. There was a significant difference in the incidence of AA between the SDI groups, with low SDI group having the lowest and high SDI group having the highest. The high SDI group had the lowest mortality rate (Kruskall-Wallis test, p < 0.001). The peak incidence was in the 15-19-year age group. The mortality rate increased exponentially from the third decade of life. CONCLUSIONS The mortality rate of AA is declining worldwide, while the incidence is increasing. The peak incidence is in the 15-19-year group.
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Affiliation(s)
| | - Chrisjit Xavier
- Department of Surgery, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
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