Article(id=1241023937296003772, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241023927812682133, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202409469, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1727193600000, receivedDateStr=2024-09-25, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773812763761, onlineDateStr=2026-03-18, pubDate=1739116800000, pubDateStr=2025-02-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773812763761, onlineIssueDateStr=2026-03-18, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773812763761, creator=13701087609, updateTime=1773812763761, updator=13701087609, issue=Issue{id=1241023927812682133, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='3', pageStart='385', pageEnd='576', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773812761500, creator=13701087609, updateTime=1773812858867, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241024336258200259, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241023927812682133, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241024336258200260, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1241023927812682133, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=430, endPage=435, ext={EN=ArticleExt(id=1241023937656713933, articleId=1241023937296003772, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Analysis of the burden of respiratory syncytial virus lower respiratory tract infections in China from 1992 to 2021, columnId=1240413921954295836, journalTitle=Modern Preventive Medicine, columnName=Epidemiology and Statistical Methods, runingTitle=null, highlight=null, articleAbstract=
Objective

To analyze the current status and trends of the burden of respiratory syncytial virus (RSV) lower respiratory tract infections in China from 1992 to 2021, providing a reference for the prevention and control of RSV infections in the country.

Methods

The burden of disease was assessed using disability-adjusted life years (DALYs). Data on DALYs for RSV lower respiratory tract infections in China from 1992 to 2021 were extracted from the 2021 Global Burden of Disease Study database. Join point regression analysis was employed to evaluate trends in disease burden, and an age-period-cohort (APC) model was constructed to explore the impacts of age, period, and birth cohort on disease burden.

Results

In 2021, the DALYs rate for RSV lower respiratory tract infections in China was 3.08 per 100 000, with the highest DALYs number (35 400 person-years) and rate (45.63 per 100 000) observed in the 0-4 age group, followed by those aged 65 and older (5 300 person-years, 2.68 per 100 000). From 1992 to 2021, the DALYs rate for RSV lower respiratory tract infections in China showed a declining trend (AAPC=-12.96%, P<0.001), with the DALYs rate remaining relatively stable from 2012 to 2016 (AAPC=-1.61%, P=0.198), while other intervals exhibited a downward trend, particularly from 2019 to 2021, which had the most significant decline (AAPC=-57.90%, P<0.001). Among different age groups, the 0-4 age group experienced the largest decrease in DALYs rate (AAPC=-12.02%, P<0.001), whereas the decline was the smallest in those aged 65 and older (AAPC=-5.19%, P<0.001). The APC model indicated that age, period, and birth cohort effects influenced the changes in DALYs rates for RSV lower respiratory tract infections in China, with DALYs rates initially decreasing and then increasing with age, while declining with advancing periods and shifting birth cohorts.

Conclusion

The burden of RSV lower respiratory tract infections in China showed a downward trend from 1992 to 2021, predominantly affecting children and the elderly.

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目的

分析1992—2021年中国呼吸道合胞病毒(respiratory syncytial virus,RSV)下呼吸道感染疾病负担现状、变化趋势,为中国RSV感染防控提供参考。

方法

采用伤残调整寿命年(disability-adjusted life year, DALYs)数据资料评价疾病负担,从2021年全球疾病负担研究数据库提取1992—2021年中国RSV下呼吸道感染DALYs的数据资料,采用joinpoint回归分析疾病负担变化趋势,构建年龄 - 时期 - 队列(age-period-cohort, APC)模型探讨年龄、时期和出生队列对疾病负担的影响。

结果

2021年,中国RSV下呼吸道感染DALYs率为3.08/10万,0~4岁年龄组的DALYs率(3.54万人年)、DALYs率(45.63/10万)均最高,其次为65岁及以上年龄组(0.53万人年、2.68/10万)。1992—2021年,中国RSV下呼吸道感染DALYs率呈下降趋势(AAPC=-12.96%,P<0.001),2012—2016年DALYs率基本平稳(AAPC=-1.61%,P=0.198),其他区间段呈下降趋势,其中2019—2021年下降幅度最大(AAPC=-57.90%,P<0.001);不同年龄组中,0~4岁年龄组DALYs率下降幅度最大(AAPC=-12.02%,P<0.001),65岁及以上年龄组下降幅度最小(AAPC=-5.19%,P<0.001)。APC模型显示,年龄、时期和出生队列效应影响着中国RSV下呼吸道感染DALYs率的变化,DALYs率随着年龄的增长先下降后上升,随着时期的递进、出生队列的推移而下降。

结论

1992—2021年中国RSV下呼吸道感染疾病负担呈下降趋势,疾病负担主要集中儿童及老年人群。

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李雪梅,E-mail:
, copyrightStatement=本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点,除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=pQm3sUVv/4TJ3AONiD9ZKQ==, magXml=Mx+f0ZaPekTBXSbNPBX4yg==, pdfUrl=null, pdf=ZTZaq88H6bvwooGRjhIX5Q==, pdfFileSize=663395, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=oSlrcfxUl3HkKuV6Eujxkg==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=egQaUi9TMUx0urrvNOB7IQ==, mapNumber=null, authorCompany=null, fund=null, authors=

林凯(1990—),男,本科,主管医师,研究方向:传染病预防控制

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Emerging Infectious Diseases, 2019, 25(6): 1127-1135., articleTitle=Respiratory syncytial virus seasonality, Beijing, China, 2007-2015, refAbstract=null), Reference(id=1241023949946024439, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, doi=null, pmid=null, pmcid=null, year=2023, volume=16, issue=null, pageStart=661, pageEnd=675, url=null, language=null, rfNumber=[22], rfOrder=25, authorNames=Chuang YC, Lin KP, Wang LA, journalName=Infection and Drug Resistance, refType=null, unstructuredReference=Chuang YC, Lin KP, Wang LA, et al. The impact of the COVID-19 pandemic on respiratory syncytial virus infection: a narrative review[J]. Infection and Drug Resistance, 2023, 16: 661-675., articleTitle=The impact of the COVID-19 pandemic on respiratory syncytial virus infection: a narrative review, refAbstract=null), Reference(id=1241023950042493437, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, doi=null, pmid=null, pmcid=null, year=2022, volume=14, issue=5, pageStart=1071, pageEnd=null, url=null, language=null, rfNumber=[23], rfOrder=26, authorNames=Achangwa C, Park H, Ryu S, journalName=Viruses, refType=null, unstructuredReference=Achangwa C, Park H, Ryu S, et al. Collateral impact of public health and social measures on respiratory virus activity during the COVID-19 pandemic 2020-2021[J]. Viruses, 2022, 14(5): 1071., articleTitle=Collateral impact of public health and social measures on respiratory virus activity during the COVID-19 pandemic 2020-2021, refAbstract=null)], funds=null, companyList=[AuthorCompany(id=1241023940202656540, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, xref=null, ext=[AuthorCompanyExt(id=1241023940252988195, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, companyId=1241023940202656540, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=Infectious Disease Prevention and Control Department, Yantian District Center for Disease Control and Prevention, Shenzhen,Guangdong 518000, China), AuthorCompanyExt(id=1241023940273959716, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, companyId=1241023940202656540, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=深圳市盐田区疾病预防控制中心传染病防制科,广东 深圳 518000)])], figs=[ArticleFig(id=1241023945596530872, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=EN, label=Figure 1, caption=Trends in the DALYs rate of RSV lower respiratory tract infection in China using Joinpoint regression from 1992 to 2021, figureFileSmall=WaQIFkiWoMPqO36spumlgw==, figureFileBig=oSlrcfxUl3HkKuV6Eujxkg==, tableContent=null), ArticleFig(id=1241023945718165699, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=CN, label=图1, caption=1992—2021年中国RSV下呼吸道感染DALYs率joinpoint拟合趋势, figureFileSmall=WaQIFkiWoMPqO36spumlgw==, figureFileBig=oSlrcfxUl3HkKuV6Eujxkg==, tableContent=null), ArticleFig(id=1241023945999184090, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=EN, label=Figure 2, caption=Age-period-cohort model of the DALYs rate of RSV lower respiratory tract infection in China from 1992 to 2021(A) Local offset; (B) Longitudinal age curve; (C) Period RR; (D) Cohort RR, figureFileSmall=qSnPBADDfz9YtYdZ0dm6bA==, figureFileBig=uzUloFkFBzFHO7aIpTQ+MQ==, tableContent=null), ArticleFig(id=1241023946276008162, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=CN, label=图2, caption=1992—2021年中国RSV下呼吸道感染DALYs率的年龄-时期-队列模型

注:图A局部漂移值;图B纵向年龄曲线;图C时期率比;图D队列率比。

, figureFileSmall=qSnPBADDfz9YtYdZ0dm6bA==, figureFileBig=uzUloFkFBzFHO7aIpTQ+MQ==, tableContent=null), ArticleFig(id=1241023946406031595, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=EN, label=Table 1, caption=

Current status of the DALYs of RSV lower respiratory tract infection in China in 2021

, figureFileSmall=null, figureFileBig=null, tableContent=
年龄组(岁)DALYs数(万人年)DALYs率(1/10万)
总人群4.383.08
0~43.5445.63
5~140.050.28
15~490.140.21
50~640.110.38
≥650.532.68
), ArticleFig(id=1241023946540249337, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=CN, label=表1, caption=

2021年中国RSV下呼吸道感染DALYs的现状

, figureFileSmall=null, figureFileBig=null, tableContent=
年龄组(岁)DALYs数(万人年)DALYs率(1/10万)
总人群4.383.08
0~43.5445.63
5~140.050.28
15~490.140.21
50~640.110.38
≥650.532.68
), ArticleFig(id=1241023946624135421, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=EN, label=Table 2, caption=

Changes in the DALYs rate of RSV lower respiratory tract infection in China from 1992 to 2021

, figureFileSmall=null, figureFileBig=null, tableContent=
年龄组(岁)指标区间段(年)变化值(95%CI)(%)tP
总人群APC1992—1996-7.80(-9.22~-6.36)-11.290<0.001
1996—2004-10.82(-11.40~-10.23)-37.659<0.001
2004—2012-8.82(-9.42~-8.22)-30.396<0.001
2012—2016-1.61(-3.99~0.84)-1.4230.178
2016—2019-8.03(-12.44~-3.40)-3.6810.003
2019—2021-57.90(-59.91~-55.77)-38.031<0.001
AAPC1992—2021-12.96(-13.57~-12.35)-38.727<0.001
0~4APC1992—1997-3.58(-4.38~-2.78)-9.533<0.001
1997—2001-7.11(-8.81~-5.38)-8.622<0.001
2001—2011-9.53(-9.83~-9.22)-64.083<0.001
2011—2016-4.82(-5.93~-3.70)-9.132<0.001
2016—2019-11.70(-14.91~-8.37)-7.270<0.001
2019—2021-55.40(-57.02~-53.72)-47.182<0.001
AAPC1992—2021-12.02(-12.49~-11.55)-46.712<0.001
5~14APC1992—1996-2.58(-3.94~-1.21)-3.9610.001
1996—2006-7.15(-7.52~-6.77)-38.897<0.001
2006—20104.80(2.50~7.14)4.487<0.001
2010—2019-3.74(-4.20~-3.27)-16.712<0.001
2019—2021-56.49(-58.37~-54.52)-39.839<0.001
AAPC1992—2021-8.78(-9.22~-8.35)-37.806<0.001
15~49APC1992—1998-1.47(-1.96~-0.97)-6.294<0.001
1998—2007-3.77(-4.09~-3.46)-25.385<0.001
2007—20102.75(-0.29~5.88)1.9520.073
2010—2013-1.68(-4.59~1.31)-1.2200.244
2013—20192.23(1.55~2.92)7.108<0.001
2019—2021-55.61(-56.92~-54.25)-58.478<0.001
AAPC1992—2021-6.33(-6.77~-5.88)-26.884<0.001
50~64APC1992—1997-1.50(-1.94~-1.05)-7.059<0.001
1997—2003-4.44(-4.87~-4.01)-21.263<0.001
2003—2006-3.39(-5.32~-1.41)-3.6050.002
2006—2019-0.04(-0.16~0.08)-0.7680.453
2019—2021-56.08(-56.96~-55.18)-86.113<0.001
AAPC1992—2021-6.99(-7.24~-6.75)-53.943<0.001
≥65APC1992—20040.22(0.08~0.37)3.2720.006
2004—2007-1.75(-4.15~0.71)-1.5430.147
2007—20103.89(1.36~6.49)3.3420.005
2010—2013-1.31(-3.71~1.16)-1.1500.271
2013—20190.45(-0.11~1.00)1.7430.105
2019—2021-55.51(-56.6~-54.40)-70.832<0.001
AAPC1992—2021-5.19(-5.61~-4.76)-23.403<0.001
), ArticleFig(id=1241023946775130379, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=CN, label=表2, caption=

1992—2021年中国RSV下呼吸道感染DALYs率的变化情况

, figureFileSmall=null, figureFileBig=null, tableContent=
年龄组(岁)指标区间段(年)变化值(95%CI)(%)tP
总人群APC1992—1996-7.80(-9.22~-6.36)-11.290<0.001
1996—2004-10.82(-11.40~-10.23)-37.659<0.001
2004—2012-8.82(-9.42~-8.22)-30.396<0.001
2012—2016-1.61(-3.99~0.84)-1.4230.178
2016—2019-8.03(-12.44~-3.40)-3.6810.003
2019—2021-57.90(-59.91~-55.77)-38.031<0.001
AAPC1992—2021-12.96(-13.57~-12.35)-38.727<0.001
0~4APC1992—1997-3.58(-4.38~-2.78)-9.533<0.001
1997—2001-7.11(-8.81~-5.38)-8.622<0.001
2001—2011-9.53(-9.83~-9.22)-64.083<0.001
2011—2016-4.82(-5.93~-3.70)-9.132<0.001
2016—2019-11.70(-14.91~-8.37)-7.270<0.001
2019—2021-55.40(-57.02~-53.72)-47.182<0.001
AAPC1992—2021-12.02(-12.49~-11.55)-46.712<0.001
5~14APC1992—1996-2.58(-3.94~-1.21)-3.9610.001
1996—2006-7.15(-7.52~-6.77)-38.897<0.001
2006—20104.80(2.50~7.14)4.487<0.001
2010—2019-3.74(-4.20~-3.27)-16.712<0.001
2019—2021-56.49(-58.37~-54.52)-39.839<0.001
AAPC1992—2021-8.78(-9.22~-8.35)-37.806<0.001
15~49APC1992—1998-1.47(-1.96~-0.97)-6.294<0.001
1998—2007-3.77(-4.09~-3.46)-25.385<0.001
2007—20102.75(-0.29~5.88)1.9520.073
2010—2013-1.68(-4.59~1.31)-1.2200.244
2013—20192.23(1.55~2.92)7.108<0.001
2019—2021-55.61(-56.92~-54.25)-58.478<0.001
AAPC1992—2021-6.33(-6.77~-5.88)-26.884<0.001
50~64APC1992—1997-1.50(-1.94~-1.05)-7.059<0.001
1997—2003-4.44(-4.87~-4.01)-21.263<0.001
2003—2006-3.39(-5.32~-1.41)-3.6050.002
2006—2019-0.04(-0.16~0.08)-0.7680.453
2019—2021-56.08(-56.96~-55.18)-86.113<0.001
AAPC1992—2021-6.99(-7.24~-6.75)-53.943<0.001
≥65APC1992—20040.22(0.08~0.37)3.2720.006
2004—2007-1.75(-4.15~0.71)-1.5430.147
2007—20103.89(1.36~6.49)3.3420.005
2010—2013-1.31(-3.71~1.16)-1.1500.271
2013—20190.45(-0.11~1.00)1.7430.105
2019—2021-55.51(-56.6~-54.40)-70.832<0.001
AAPC1992—2021-5.19(-5.61~-4.76)-23.403<0.001
), ArticleFig(id=1241023946900959509, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=EN, label=Table 3, caption=

Age-period-cohort model estimable function Wald χ2 test results of the DALYs rate for RSV lower respiratory tract infection in China from 1992 to 2021

, figureFileSmall=null, figureFileBig=null, tableContent=
零假设Waldχ2P
净漂移值=0384.564<0.001
总年龄偏差=048476.618<0.001
总时期偏差=041.384<0.001
总队列偏差=02927.780<0.001
全时期RR值=1429.030<0.001
全队列RR值=170972.524<0.001
所有局部漂移值2909.470<0.001
), ArticleFig(id=1241023947022594334, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1241023937296003772, language=CN, label=表3, caption=

1992—2021年中国RSV下呼吸道感染DALYs率的年龄- 时期 - 队列模型可估计函数Waldχ2检验结果

, figureFileSmall=null, figureFileBig=null, tableContent=
零假设Waldχ2P
净漂移值=0384.564<0.001
总年龄偏差=048476.618<0.001
总时期偏差=041.384<0.001
总队列偏差=02927.780<0.001
全时期RR值=1429.030<0.001
全队列RR值=170972.524<0.001
所有局部漂移值2909.470<0.001
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1992—2021年中国呼吸道合胞病毒下呼吸道感染疾病负担分析
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林凯 , 刘雅文 , 黄仁湛 , 张陈欢 , 徐震东 , 古丽斯 , 李雪梅
现代预防医学 | 流行病与统计方法 2025,52(3): 430-435
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现代预防医学 | 流行病与统计方法 2025, 52(3): 430-435
1992—2021年中国呼吸道合胞病毒下呼吸道感染疾病负担分析
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林凯, 刘雅文, 黄仁湛, 张陈欢, 徐震东, 古丽斯, 李雪梅
作者信息
  • 深圳市盐田区疾病预防控制中心传染病防制科,广东 深圳 518000
  • 林凯(1990—),男,本科,主管医师,研究方向:传染病预防控制

通讯作者:

李雪梅,E-mail:
Analysis of the burden of respiratory syncytial virus lower respiratory tract infections in China from 1992 to 2021
Kai LIN, Ya-wen LIU, Ren-zhan HUANG, Chen-huan ZHANG, Zhen-dong XU, Li-si GU, Xue-mei LI
Affiliations
  • Infectious Disease Prevention and Control Department, Yantian District Center for Disease Control and Prevention, Shenzhen,Guangdong 518000, China
出版时间: 2025-02-10 doi: 10.20043/j.cnki.MPM.202409469
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目的

分析1992—2021年中国呼吸道合胞病毒(respiratory syncytial virus,RSV)下呼吸道感染疾病负担现状、变化趋势,为中国RSV感染防控提供参考。

方法

采用伤残调整寿命年(disability-adjusted life year, DALYs)数据资料评价疾病负担,从2021年全球疾病负担研究数据库提取1992—2021年中国RSV下呼吸道感染DALYs的数据资料,采用joinpoint回归分析疾病负担变化趋势,构建年龄 - 时期 - 队列(age-period-cohort, APC)模型探讨年龄、时期和出生队列对疾病负担的影响。

结果

2021年,中国RSV下呼吸道感染DALYs率为3.08/10万,0~4岁年龄组的DALYs率(3.54万人年)、DALYs率(45.63/10万)均最高,其次为65岁及以上年龄组(0.53万人年、2.68/10万)。1992—2021年,中国RSV下呼吸道感染DALYs率呈下降趋势(AAPC=-12.96%,P<0.001),2012—2016年DALYs率基本平稳(AAPC=-1.61%,P=0.198),其他区间段呈下降趋势,其中2019—2021年下降幅度最大(AAPC=-57.90%,P<0.001);不同年龄组中,0~4岁年龄组DALYs率下降幅度最大(AAPC=-12.02%,P<0.001),65岁及以上年龄组下降幅度最小(AAPC=-5.19%,P<0.001)。APC模型显示,年龄、时期和出生队列效应影响着中国RSV下呼吸道感染DALYs率的变化,DALYs率随着年龄的增长先下降后上升,随着时期的递进、出生队列的推移而下降。

结论

1992—2021年中国RSV下呼吸道感染疾病负担呈下降趋势,疾病负担主要集中儿童及老年人群。

呼吸道合胞病毒  /  疾病负担  /  Joinpoint回归  /  年龄 - 时期 - 队列模型
Objective

To analyze the current status and trends of the burden of respiratory syncytial virus (RSV) lower respiratory tract infections in China from 1992 to 2021, providing a reference for the prevention and control of RSV infections in the country.

Methods

The burden of disease was assessed using disability-adjusted life years (DALYs). Data on DALYs for RSV lower respiratory tract infections in China from 1992 to 2021 were extracted from the 2021 Global Burden of Disease Study database. Join point regression analysis was employed to evaluate trends in disease burden, and an age-period-cohort (APC) model was constructed to explore the impacts of age, period, and birth cohort on disease burden.

Results

In 2021, the DALYs rate for RSV lower respiratory tract infections in China was 3.08 per 100 000, with the highest DALYs number (35 400 person-years) and rate (45.63 per 100 000) observed in the 0-4 age group, followed by those aged 65 and older (5 300 person-years, 2.68 per 100 000). From 1992 to 2021, the DALYs rate for RSV lower respiratory tract infections in China showed a declining trend (AAPC=-12.96%, P<0.001), with the DALYs rate remaining relatively stable from 2012 to 2016 (AAPC=-1.61%, P=0.198), while other intervals exhibited a downward trend, particularly from 2019 to 2021, which had the most significant decline (AAPC=-57.90%, P<0.001). Among different age groups, the 0-4 age group experienced the largest decrease in DALYs rate (AAPC=-12.02%, P<0.001), whereas the decline was the smallest in those aged 65 and older (AAPC=-5.19%, P<0.001). The APC model indicated that age, period, and birth cohort effects influenced the changes in DALYs rates for RSV lower respiratory tract infections in China, with DALYs rates initially decreasing and then increasing with age, while declining with advancing periods and shifting birth cohorts.

Conclusion

The burden of RSV lower respiratory tract infections in China showed a downward trend from 1992 to 2021, predominantly affecting children and the elderly.

Respiratory syncytial virus  /  Disease burden  /  Join point regression  /  Age-period-cohort model
林凯, 刘雅文, 黄仁湛, 张陈欢, 徐震东, 古丽斯, 李雪梅. 1992—2021年中国呼吸道合胞病毒下呼吸道感染疾病负担分析. 现代预防医学, 2025 , 52 (3) : 430 -435 . DOI: 10.20043/j.cnki.MPM.202409469
Kai LIN, Ya-wen LIU, Ren-zhan HUANG, Chen-huan ZHANG, Zhen-dong XU, Li-si GU, Xue-mei LI. Analysis of the burden of respiratory syncytial virus lower respiratory tract infections in China from 1992 to 2021[J]. Modern Preventive Medicine, 2025 , 52 (3) : 430 -435 . DOI: 10.20043/j.cnki.MPM.202409469
呼吸道合胞病毒(respiratory syncytial virus,RSV)是肺炎病毒科的一种单股负链RNA病毒[1],只有一个血清型,分为A、B两个亚型。RSV可感染各年龄段人群,但主要集中在儿童、老年人和免疫功能低下等人群[2-3],RSV感染后,主要表现为急性呼吸道感染症状,其中下呼吸道感染最为常见[4],研究显示[5],RSV下呼吸道感染对患者健康造成严重威胁,2019年,全球人群归因于RSV下呼吸道感染的伤残调整寿命年(disability-adjusted life year, DALYs)数达1 495.65万人年。受新型冠状病毒感染疫情影响,2021年全球RSV感染的疾病负担虽出现下降[2],但随着非药物干预措施的取消或放松,全球多个国家与地区的RSV感染疫情出现反弹[6-7]。目前,中国暂未将RSV感染纳入法定传染病报告监测系统,全国范围内的RSV感染的流行病学疾病负担全貌尚不完全清楚[3],本研究使用2021年全球疾病负担研究(Global Burden of Disease Study, GBD 2021)相关数据,对1992—2021年中国RSV下呼吸道感染的疾病负担现状及其变化趋势进行分析,以期为更科学地降低RSV感染疾病负担提供参考。
本研究数据来源于GBD 2021数据库,该数据库提供了全球范围内RSV下呼吸道感染的死亡、DALYs、早死损失寿命年(years of life lost, YLLs)和伤残损失寿命年(year lived with disability, YLDs)共4个疾病负担指标的数据资料,其中DALYs为YLLs与YLDs之和。研究显示[8],DALYs能较完善、科学地综合评价RSV感染对人群健康的影响,故本研究采用DALYs数据资料作为评价中国RSV下呼吸道感染的疾病负担指标。
采用joinpoint回归模型分析中国总人群及不同年龄组DALYs率变化趋势,计算不同区间段内的年度变化百分比(annual percent change, APC)和平均年度变化百分比(average annual percent change, AAPC)及其95%CI(confidence interval, CI)。利用Monte Carlo置换检验判断变化趋势的差异是否有统计学意义[9]
采用年龄-时期-队列(age - period - cohort, APC)模型分析年龄、时期和出生队列三个维度对中国RSV下呼吸道感染DALYs率的影响[10]。年龄效应指随年龄变化出现DALYs率的差异,是身体暴露于风险和身体素质差异的组合;时期效应指不同时期医疗政策、技术等导致DALYs率的变化;队列效应是指不同出生队列人群的生活卫生习惯、暴露环境不同等而导致DALYs率的变化[11]。本研究以5年为一组,将全人群分成20个年龄组,根据APC模型需要,时期组距需与年龄组距相等,故将1992—2021年分为6个时期,1897—2021出生年份分为25个出生队列,设置年龄、时期、出生队列中位数所在组即45~49岁、2002—2006年、1957—1961年组为参照组。采用以下参数分析结果:净偏移值反映DALYs率总体的变化趋势;局部偏移值反映不同年龄组的DALYs率随时间递进的变化趋势;年龄效采用纵向年龄曲线进行反映,表示在调整时期、队列偏差后,不同年龄别的DALYs率;时期(队列)效应,反映调整年龄、队列(时期)效应后相对于对照时期(队列)的风险[12]
使用Joinpoint regression program (JRP) 4.9.1.0构建joinpoint回归模型,使用R 4.2.1调用美国国立卫生研究院开发的年龄 - 时期 - 队列模型网页工具(https://analysistools.cancer.gov/apc/)构建APC模型。采用双侧检验,检验水准α =0.05。
2021年,中国RSV下呼吸道感染的DALYs数为4.38万人年,DALYs率为3.08/10万。不同年龄组中,0~4岁年龄组DALYs数为3.54万人年、DALYs率为45.63/10万,均为最高,其次为65岁及以上年龄组的0.53万人年、2.68/10万。见表1
1992—2021年,中国RSV下呼吸道感染DALYs率呈下降趋势(AAPC=-12.96%,P<0.001),从171.13/ 10万降至3.08/10万。1992—1996年DALYs率年均下降幅度7.80%,1996—2004年年均下降幅度提高至10.82%,2004—2012年年均下降幅度稍回落至8.82%,2012—2016年基本平稳,2016—2019年年均下降幅度8.03%,2019—2021年快速下降,年均下降幅度达57.90%。见表2图1
1992—2021年,不同年龄组RSV下呼吸道感染的DALYs率均呈下降趋势,其中0~4岁年龄组下降幅度最大(AAPC = -12.02%,P<0.001),5~14岁年龄组次之(AAPC = -8.78%,P<0.001),65岁及以上年龄组下降幅度最小(AAPC = -5.19%,P<0.001)。见表2图1
0~4岁年龄组DALYs率在1992—1997、1997—2001、2001—2011、2011—2016、2016—2019和2019—2021年分别以3.58%、7.11%、9.53%、4.82%、11.70%、55.40%的速度下降。5~14岁在1992—1996、1996—2006、2010—2019和2019—2021年分别以2.58%、7.15%、3.74%、56.49%的速度下降,2006—2010年以4.80%的速度上升。15~49岁年龄组在1992—1998和1998—2007年分别以1.47%、3.77%的速度下降,2007—2010和2010—2013年总体平稳,2013—2019年则以2.23%的速度上升,2019—2021年以55.61%的速度下降。50~64岁年龄组在1992—1997、1997—2003和2003—2006年分别以1.50%、4.44%、3.39%的速度下降,2006—2019年总体平稳,2019—2021年以56.08%的速度下降。65岁及以上年龄组在1992—2004年以0.22%的速度上升,2004—2007年总体平稳,2007—2010年以3.89%的速度上升,2010—2013年、2013—2019年总体平稳,2019—2021年以55.51%的速度下降。见表2图1
1992—2021年,中国RSV下呼吸道感染DALYs率的净漂移值、总年龄偏差、总时期偏差、总队列偏差、全时期RR值、全队列RR值和所有局部偏移值均有统计学意义(P<0.05),提示中国人群RSV下呼吸道感染DALYs率受到年龄、时期和队列的影响。见表3
从1992—2021年,中国RSV下呼吸道感染DALYs率的净漂移为-2.50%(95%CI:-2.75%~-2.25%),提示DALYs率呈下降趋势。0~90岁各年龄组局部漂移值均小于0且95%CI上限小于0,说明各年龄组的DALYs率随着时间的递进而下降,但下降幅度随着年龄的增长大致呈现降低的趋势;90~94岁、≥95岁年龄组的局部漂移值虽小于0,但95%CI上限大于0,提示DALYs率总体平稳。见图2A
年龄效应,DALYs率随着年龄的增长呈先下降后上升的趋势,高峰为0~4岁的3 594.86/10万(95%CI: 3 003.87~4 302.11),随后下降至5~9岁的10.83/10万(95%CI: 9.02~12.99),10~64岁各年龄组大致处于低峰平台,65~69岁年龄组开始上升,上升至≥95岁年龄组的53.22/10万(95%CI: 41.35~68.50)。见图2B
时期效应,与参照时期2002—2006年(RR=1)相比,DALYs率随着时期的递进而下降,在2017—2021年下降至最低(RR=0.70, 95%CI: 0.65~0.75)。见图2C
队列效应,与参照队列1957—1961年(RR=1)相比,DALYs率随着出生年份的推移大致而下降,在2017—2021年出生队列人群下降至最低(RR=0.06,95%CI: 0.05 ~ 0.07)。见图2D
本研究基于GBD 2021数据库,分析中国RSV下呼吸道感染疾病负担现状,采用joinpoint回归模型、APC模型对1992—2021年中国RSV下呼吸道的疾病负担进行变化趋势分析,在暂未建立完善的疾病监测系统的背景下,丰富了中国RSV感染疾病负担的研究,结果显示,中国RSV下呼吸道感染疾病负担有以下特征。
需采取措施降低0~4岁RSV下呼吸道感染的疾病负担。本研究显示,中国RSV下呼吸道感染疾病负担主要集中在0~4岁年龄组,提示在儿童人群中,需采取感染者隔离、环境清洁消毒和减少高危人群的暴露机会等非药物干预措施,加快推进疫苗和单抗的研发和应用策略的研究[3],以及合理分配儿科医疗资源等,以降低RSV下呼吸道感染的疾病负担。
老年人群RSV下呼吸道感染的防控需引起重视。1992—2021年,不同年龄组中,65岁及以上年龄组疾病负担仅次于0~4岁年龄组,joinpoint回归、APC模型均显示老年人群疾病负担下降幅度最小,且APC模型显示出生队列越早疾病负担越重,RSV感染的防控,在人口老龄化的国家将变得越来越重要[13-14],研究显示[15],近40%的RSV下呼吸道感染住院发生在65岁及以上人群中,同时,因呼吸道感染而住院的老年人群中,虽然RSV检出率低于新型冠状病毒感染、流感,但RSV感染出现更严重的临床表现[16]。老年人群RSV感染的重视程度低于儿童,老年人群RSV感染流行特征、疾病负担等研究相比于儿童人群可能落后了几十年[13],提示需采取监测、风险评估、优化医疗资源配置、健康宣传和疫苗接种等系列综合性的预防和控制措施以加快推进老年人群RSV感染的防控。
中国RSV下呼吸道感染疾病负担呈下降趋势,但仍需建立完善的监测系统。1992—2021年,中国RSV下呼吸道感染的疾病负担呈下降趋势,时期效应RR值亦逐年下降,研究显示[17],RSV下呼吸道感染的疾病负担与不同社会人口学指数往往呈反比,低收入国家RSV下呼吸道感染发病率明显高于高收入国家,但RSV下呼吸道感染住院率却低于高收入国家,反映了医疗资源紧缺是RSV下呼吸道感染疾病负担高的原因之一,中国RSV下呼吸道感染疾病负担下降,提示随着中国社会经济的快速发展,中国卫生健康服务体系日渐完善[18]。1992—2021年不同年份区间中,除2012—2016年疾病负担基本稳定,其余区间段均显著下降趋势,2012—2016年出现波动的原因,可能与RSV不同亚型流行情况相关,2008—2021年中国人群RSV感染的病原学监测结果显示[19],2012—2016年以RSV-A基因型为优势流行株,其他年份多以A型与B型交替流行;研究显示[20-21],与感染RSV-B基因型相比,感染RSV-A基因型可引起更重的临床严重程度,且流行季的持续时间更长。中国目前仍缺乏完善的RSV感染监测系统,难以实时追踪RSV病原学的流行特征,建议依托我国已经建立且运行成熟的流感监测系统、流感监测哨点和网络实验室平台开展RSV的监测[3]
RSV下呼吸道感染疾病负担变化受新型冠状病毒感染疫情非药物干预措施的影响较大。Joinpoint回归显示,2019—2021年,中国RSV下呼吸道感染疾病负担以57.90%的年均速度下降,下降速度远高于1992—2019年的各区间段;APC模型亦显示,2017—2021年的时期效应快速下降,提示新冠病毒感染疫情的非药物干预措施有效阻断了RSV的传播和感染风险[22-23],大幅度降低了RSV下呼吸道感染的疾病负担。
本研究仍存在一定局限性,一是GBD数据库受限,未能获取不同省份相关数据资料,未能开展不同省份的疾病负担研究;二是GBD数据库暂无新型冠状病毒感染疫情对RSV下呼吸道感染病疾病负担的量化评估数据,暂未开展疾病负担预测,今后若GBD数据库补充了量化评估数据,应及时开展预测,以更好为RSV感染防控提供科学依据。
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doi: 10.20043/j.cnki.MPM.202409469
  • 接收时间:2024-09-25
  • 首发时间:2026-03-18
  • 出版时间:2025-02-10
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  • 收稿日期:2024-09-25
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    深圳市盐田区疾病预防控制中心传染病防制科,广东 深圳 518000

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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