Updated estimates of sepsis hospitalizations at United States academic medical centers

被引:7
|
作者
Chan, Hei Kit [1 ]
Khose, Swapnil [2 ,3 ]
Chavez, Summer [1 ]
Patel, Bela [4 ]
Wang, Henry E. [5 ]
机构
[1] Univ Texas Hlth Sci Ctr Houston, Dept Emergency Med, Dept Biostatis, Houston, TX 77030 USA
[2] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth, Dept Epidemiol Human Genet & Environm Sci, Houston, TX 77030 USA
[3] Univ Texas Hlth Sci Ctr Houston, McGovern Med Sch, Dept Emergency Med, Houston, TX 77030 USA
[4] Univ Texas Hlth Sci Ctr Houston, Div Crit Care Med, Dept Med, Houston, TX 77030 USA
[5] Ohio State Univ, Dept Emergency Med, 760 Prior Hall,376 10th Ave, Columbus, OH 43210 USA
关键词
administrative data; discharge diagnoses; epidemiology; sepsis; TRENDS; EPIDEMIOLOGY; MORTALITY; CRITERIA; CLAIMS; CARE;
D O I
10.1002/emp2.12782
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
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.
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页数:9
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