The mortality and years of life lost for community-acquired pneumonia before and during COVID-19 pandemic in China
© 2023 The Author(s)..
Background: Community-acquired pneumonia (CAP) is a leading cause of mortality worldwide, but disease burden of CAP is not clear so far. We aim to explore the spatial and temporal trends of mortality and years of life lost (YLL) due to CAP during 2013-2021 in mainland China, especially the mortality changes before and during COVID-19 pandemic due to COVID-19 related non-pharmaceutical interventions (NPIs).
Methods: We used data from the National Mortality Surveillance System to estimate the age-standardized rates of death and YLL of CAP at national and provincial level in China during 2013-2021. Monthly and provincial NPIs data were obtained from Oxford COVID-19 Government Response Tracker. The Average annual percentage change (AAPC) and mortality reduction were estimated by log-linear regression and interrupted time series, respectively.
Findings: In China, most CAP that caused deaths had no clear etiology, and bacterial pneumonia and viral pneumonia were the leading 2 causes among CAP deaths with determined etiology before and during COVID-19 pandemic. The age-standardized CAP mortality rate decreased from 11.18 per 100,000 in 2013 to 8.76 per 100,000 in 2019, and to 5.74 per 100,000 in 2021 (AAPC -4.51% vs -7.89%). Trends were similar in age-standardized rate of YLL. Both rates declined more for viral pneumonia, compared with bacterial pneumonia. After adjusting for NPIs at provincial level after 2020, the NPIs for COVID-19 was associated with significant reductions in CAP mortality (-0.34 per 100,000, -0.41 to -0.27; p < 0.0001), and provinces that economically developed and conducted strict regular NPIs against COVID-19 contributed the most reduction.
Interpretation: We observed a decreasing trend of age-standardized CAP mortality from 2013 to 2019, and a dramatical reduction during COVID-19 pandemic, especially for viral pneumonia. Our study provided the evidence for the effectiveness of regular NPIs on the significant reductions in CAP mortality.
Funding: This work has been supported by Beijing Municipal Science and Technology Project Z191100006619101, Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (CIFMS 2021-I2M-1-048), CAMS Institute of Respiratory Medicine Grant for Young Scholars (2023-ZF-8) and the New Cornerstone Science Foundation.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 2023 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:42 |
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| Enthalten in: |
The Lancet regional health. Western Pacific - 42(2023) vom: 01. Jan., Seite 100968 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Fan, Guohui [VerfasserIn] |
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| Links: |
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| Themen: |
Age-standardized mortality |
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| Anmerkungen: |
Date Revised 01.12.2023 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.lanwpc.2023.100968 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 245 | 1 | 4 | |a The mortality and years of life lost for community-acquired pneumonia before and during COVID-19 pandemic in China |
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| 520 | |a © 2023 The Author(s). | ||
| 520 | |a Background: Community-acquired pneumonia (CAP) is a leading cause of mortality worldwide, but disease burden of CAP is not clear so far. We aim to explore the spatial and temporal trends of mortality and years of life lost (YLL) due to CAP during 2013-2021 in mainland China, especially the mortality changes before and during COVID-19 pandemic due to COVID-19 related non-pharmaceutical interventions (NPIs) | ||
| 520 | |a Methods: We used data from the National Mortality Surveillance System to estimate the age-standardized rates of death and YLL of CAP at national and provincial level in China during 2013-2021. Monthly and provincial NPIs data were obtained from Oxford COVID-19 Government Response Tracker. The Average annual percentage change (AAPC) and mortality reduction were estimated by log-linear regression and interrupted time series, respectively | ||
| 520 | |a Findings: In China, most CAP that caused deaths had no clear etiology, and bacterial pneumonia and viral pneumonia were the leading 2 causes among CAP deaths with determined etiology before and during COVID-19 pandemic. The age-standardized CAP mortality rate decreased from 11.18 per 100,000 in 2013 to 8.76 per 100,000 in 2019, and to 5.74 per 100,000 in 2021 (AAPC -4.51% vs -7.89%). Trends were similar in age-standardized rate of YLL. Both rates declined more for viral pneumonia, compared with bacterial pneumonia. After adjusting for NPIs at provincial level after 2020, the NPIs for COVID-19 was associated with significant reductions in CAP mortality (-0.34 per 100,000, -0.41 to -0.27; p < 0.0001), and provinces that economically developed and conducted strict regular NPIs against COVID-19 contributed the most reduction | ||
| 520 | |a Interpretation: We observed a decreasing trend of age-standardized CAP mortality from 2013 to 2019, and a dramatical reduction during COVID-19 pandemic, especially for viral pneumonia. Our study provided the evidence for the effectiveness of regular NPIs on the significant reductions in CAP mortality | ||
| 520 | |a Funding: This work has been supported by Beijing Municipal Science and Technology Project Z191100006619101, Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (CIFMS 2021-I2M-1-048), CAMS Institute of Respiratory Medicine Grant for Young Scholars (2023-ZF-8) and the New Cornerstone Science Foundation | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Age-standardized mortality | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Community-acquired pneumonia | |
| 650 | 4 | |a Viral pneumonia | |
| 650 | 4 | |a Years of life lost | |
| 700 | 1 | |a Zhou, Yuchang |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Fei |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, Zhongguang |e verfasserin |4 aut | |
| 700 | 1 | |a Gu, Xiaoying |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Xueyang |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Zhengping |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Maigeng |e verfasserin |4 aut | |
| 700 | 1 | |a Cao, Bin |e verfasserin |4 aut | |
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