Mortality in Escherichia coli bloodstream infections: a multinational population-based cohort study

被引:21
|
作者
MacKinnon, Melissa C. [1 ]
McEwen, Scott A. [1 ]
Pearl, David L. [1 ]
Lyytikainen, Outi [2 ]
Jacobsson, Gunnar [3 ,4 ]
Collignon, Peter [5 ,6 ]
Gregson, Daniel B. [7 ,8 ,9 ]
Valiquette, Louis [10 ]
Laupland, Kevin B. [11 ,12 ,13 ]
机构
[1] Univ Guelph, Dept Populat Med, Guelph, ON, Canada
[2] Natl Inst Hlth & Welf, Dept Hlth Secur, Helsinki, Finland
[3] Skaraborg Hosp, Dept Infect Dis, Skovde, Sweden
[4] Univ Gothenburg, CARe Ctr Antibiot Resistance Res, Inst Biomed, Gothenburg, Sweden
[5] Canberra Hosp, Dept Infect Dis & Microbiol, Garran, ACT, Australia
[6] Australian Natl Univ, Med Sch, Acton, ACT, Australia
[7] Univ Calgary, Dept Med, Calgary, AB, Canada
[8] Univ Calgary, Dept Pathol & Lab Med, Calgary, AB, Canada
[9] Alberta Hlth Serv, Calgary Zone, Calgary, AB, Canada
[10] Univ Sherbrooke, Dept Microbiol Infect Dis, Sherbrooke, PQ, Canada
[11] Royal Inland Hosp, Dept Med, Kamloops, BC, Canada
[12] Royal Brisbane & Womens Hosp, Dept Intens Care Med, Brisbane, Qld, Australia
[13] Queensland Univ Technol, Fac Hlth, Brisbane, Qld, Australia
基金
加拿大健康研究院;
关键词
Population-based; Bloodstream infection; Bacteremia; Escherichia coli; Mortality; Mortality rate; Case fatality; BETA-LACTAMASE ESBL; COMMUNITY-ONSET BACTEREMIA; RISK-FACTORS; FLUOROQUINOLONE RESISTANCE; CLINICAL IMPACT; EPIDEMIOLOGY; OUTCOMES; BURDEN;
D O I
10.1186/s12879-021-06326-x
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background Escherichia coli is the most common cause of bloodstream infections (BSIs) and mortality is an important aspect of burden of disease. Using a multinational population-based cohort of E. coli BSIs, our objectives were to evaluate 30-day case fatality risk and mortality rate, and determine factors associated with each. Methods During 2014-2018, we identified 30-day deaths from all incident E. coli BSIs from surveillance nationally in Finland, and regionally in Sweden (Skaraborg) and Canada (Calgary, Sherbrooke, western interior). We used a multivariable logistic regression model to estimate factors associated with 30-day case fatality risk. The explanatory variables considered for inclusion were year (2014-2018), region (five areas), age (< 70-years-old, >= 70-years-old), sex (female, male), third-generation cephalosporin (3GC) resistance (susceptible, resistant), and location of onset (community-onset, hospital-onset). The European Union 28-country 2018 population was used to directly age and sex standardize mortality rates. We used a multivariable Poisson model to estimate factors associated with mortality rate, and year, region, age and sex were considered for inclusion. Results From 38.7 million person-years of surveillance, we identified 2961 30-day deaths in 30,923 incident E. coli BSIs. The overall 30-day case fatality risk was 9.6% (2961/30923). Calgary, Skaraborg, and western interior had significantly increased odds of 30-day mortality compared to Finland. Hospital-onset and 3GC-resistant E. coli BSIs had significantly increased odds of mortality compared to community-onset and 3GC-susceptible. The significant association between age and odds of mortality varied with sex, and contrasts were used to interpret this interaction relationship. The overall standardized 30-day mortality rate was 8.5 deaths/100,000 person-years. Sherbrooke had a significantly lower 30-day mortality rate compared to Finland. Patients that were either >= 70-years-old or male both experienced significantly higher mortality rates than those < 70-years-old or female. Conclusions In our study populations, region, age, and sex were significantly associated with both 30-day case fatality risk and mortality rate. Additionally, 3GC resistance and location of onset were significantly associated with 30-day case fatality risk. Escherichia coli BSIs caused a considerable burden of disease from 30-day mortality. When analyzing population-based mortality data, it is important to explore mortality through two lenses, mortality rate and case fatality risk.
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页数:10
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