Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, The University of Western Australia, West Perth, WA, Australia.
School of Paediatrics and Child Health, The University of Western Australia, Perth, WA, Australia.
Influenza Other Respir Viruses. 2017 Nov;11(6):502-510. doi: 10.1111/irv.12508. Epub 2017 Oct 30.
Reliance on hospital discharge diagnosis codes alone will likely underestimate the burden of respiratory viruses.
To describe the epidemiology of respiratory viruses more accurately, we used record linkage to examine data relating to all children hospitalized in Western Australia between 2000 and 2012.
PATIENTS/METHODS: We extracted hospital, infectious disease notification and laboratory data of a cohort of children born in Western Australia between 1996 and 2012. Laboratory records of respiratory specimens collected within 48 hours of admission were linked to hospitalization records. We calculated the frequency and rates of virus detection. To identify groups where under-ascertainment for respiratory viruses was greatest, we used logistic regression to determine factors associated with failure to test.
Nine percentage of 484 992 admissions linked to a laboratory record for respiratory virus testing. While 62% (n = 26 893) of laboratory-confirmed admissions received respiratory infection diagnosis codes, 38% (n = 16 734) had other diagnoses, notably viral infection of unspecified sites. Of those tested, incidence rates were highest for respiratory syncytial virus (247 per 100 000 child-years) followed by parainfluenza (63 per 100 000 child-years). Admissions among older children and those without a respiratory diagnosis were associated with failure to test for respiratory viruses. Linked data can significantly enhance diagnostic codes when estimating the true burden of disease. In contrast to current emphasis on influenza, respiratory syncytial virus and parainfluenza were the most common viral pathogens among hospitalized children. By characterizing those failing to be tested, we can begin to quantify the under-ascertainment of respiratory viruses.
仅依靠医院出院诊断代码可能会低估呼吸道病毒的负担。
为了更准确地描述呼吸道病毒的流行病学,我们使用记录链接来检查 2000 年至 2012 年期间在西澳大利亚住院的所有儿童的数据。
患者/方法:我们提取了西澳大利亚出生的一组儿童的医院、传染病通知和实验室数据,时间跨度为 1996 年至 2012 年。将在入院后 48 小时内采集的呼吸道标本的实验室记录与住院记录相链接。我们计算了病毒检测的频率和检出率。为了确定呼吸道病毒检测不足的最大人群,我们使用逻辑回归来确定与未检测相关的因素。
在与实验室呼吸道病毒检测记录相链接的 484992 次住院中,有 9%进行了检测。虽然 62%(n=26893)经实验室确诊的住院患者获得了呼吸道感染诊断代码,但 38%(n=16734)有其他诊断,特别是未明确部位的病毒感染。在接受检测的患者中,呼吸道合胞病毒(每 10 万儿童年 247 例)的发病率最高,其次是副流感病毒(每 10 万儿童年 63 例)。年龄较大的儿童和无呼吸道诊断的儿童与呼吸道病毒检测失败有关。通过链接数据可以显著增强诊断代码,从而更准确地估计疾病的真实负担。与当前对流感的重视不同,呼吸道合胞病毒和副流感病毒是住院儿童中最常见的病毒病原体。通过描述那些未被检测到的患者,我们可以开始量化呼吸道病毒的检测不足。