Updated estimates of sepsis hospitalizations at United States academic medical centers

美国学术医疗中心脓毒症住院人数的最新估计

阅读:1

Abstract

OBJECTIVE: Sepsis is a major public health problem. Understanding the epidemiology of sepsis subtypes is important to quantify the magnitude of the problem and identify targets for system wide treatment strategies. We sought to describe the current national epidemiology of community-acquired (CAS), hospital-acquired (HAS) and healthcare-associated sepsis (HCAS) hospitalizations among academic medical centers in the United States using current discharge diagnosis taxonomies. METHODS: Retrospective analysis of patient discharge data from the Vizient Clinical Data Base/Resource Manager. We identified sepsis hospitalizations using four ICD-10 coding strategies: (1) "Martin" sepsis codes (21 ICD-10 codes), (2) "Angus" sepsis codes (ICD-10 infection + ICD-10 organ dysfunction), (3) Medicare "SEP-1" codes (28 ICD-10 codes), and (4) "explicit sepsis" codes (ICD-10 R65.20 and R65.21). Using present-on-admission flags for each diagnosis, we also distinguished: (1) community-acquired sepsis (CAS), (2) hospital-acquired sepsis (HAS), and (3) healthcare associated sepsis (HCAS). RESULTS: Among 22,655,240 hospitalizations, the number and incidence of sepsis hospitalizations were: (1) Martin (n = 1,718,257, 75.8 per 1000 hospitalizations), (2) Angus (n = 2,749,163, 121.3 per 1000), (3) SEP-1 (n = 1,624,909, 71.7 per 1000), and (4) explicit sepsis (n = 655,853, 28.9 per 1000). CAS was the most common sepsis subtype. HAS exhibited higher adjusted mortality than CAS. ICU admission was highest for HAS (Martin, 1.5%; Angus, 1.5%; SEP-1, 1.6%; Explicit, 1.9%). CONCLUSIONS: These results illustrate the prevalence of sepsis at US academic medical centers using the most current sepsis classification taxonomies and discharge diagnosis codes. These results highlight important considerations when using hospital discharge data to characterize the epidemiology of sepsis.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。