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

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Melissa C. MacKinnon ◽  
Scott A. McEwen ◽  
David L. Pearl ◽  
Outi Lyytikäinen ◽  
Gunnar Jacobsson ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Mortality Rate ◽  
Case Fatality ◽  
Population Based ◽  
Day Case ◽  
Fatality Risk ◽  
E Coli ◽  
Factors Associated ◽  
Case Fatality Risk ◽  
Age And Sex

Abstract 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.

scholarly journals Temporal Trend of ST131 Clone among Urinary Escherichia coli Isolates in the Community: A Taiwan National Surveillance from 2002 to 2016

2021 ◽  
Vol 9 (5) ◽  
pp. 963
Author(s):  
Jiun-Ling Wang ◽  
Wen-Chien Ko ◽  
Chih-Hsin Hung ◽  
Ming-Fang Cheng ◽  
Hui-Ying Wang ◽  
...  
Keyword(s):  
Temporal Trend ◽  
Multidrug Resistant ◽  
Population Based ◽  
Pulsed Field Gel Electrophoresis ◽  
Sequence Type ◽  
E Coli ◽  
Factors Associated ◽  
Resistant Group ◽  
Ciprofloxacin Resistance ◽  
Susceptible Group

Sequence type (ST) 131 is a multidrug-resistant pandemic lineage of E. coli responsible for extraintestinal infections. Few surveillance data of ST131 included all antimicrobial-susceptible and -resistant isolates or focused on community-acquired urinary tract infection (UTI). From a population-based surveillance pool of 2997 outpatient urine E. coli isolates, 542 were selected for detection of ST131 based on ciprofloxacin and/or cefotaxime resistance. Pulsed-field gel electrophoresis (PFGE) was performed on all ST131 isolates to further determine their relatedness. The estimated overall ST131 prevalence in this community UTI cohort increased from 11.2% (in 2002–2004), 12.2% (in 2006–2008), 13.6% (in 2010–2012), to 17.4% in 2014–2016 (p < 0.01). In the ciprofloxacin-resistant/cefotaxime-resistant group, ST131 increased from 33.3% in 2002–2004 to 72.1% in 2014–2016 (p < 0.01). In the ciprofloxacin-resistant/cefotaxime-susceptible group, ST131 was found in 24.3% overall without significant increase in its prevalence over time. PFGE showed emergence of a cluster of ciprofloxacin-resistant/cefotaxime-resistant ST131 carrying Gr. 1 CTX-M ESBL in 2014–2016, especially 2016. Multivariate analysis revealed that age (≥65 y.o) and ciprofloxacin resistance were independent factors associated with ST131. This longitudinal surveillance showed that ciprofloxacin-resistant/cefotaxime-susceptible ST131 has been circulating in the community since 2002 but ciprofloxacin-resistant/cefotaxime-resistant ST131 increased rapidly in the later years.

scholarly journals Estimating the Case Fatality Risk of COVID-19 using Cases from Outside China

2020 ◽  
Author(s):  
Nick Wilson ◽  
Amanda Kvalsvig ◽  
Lucy Telfar Barnard ◽  
Michael G Baker
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Meta Analysis ◽  
Case Fatality ◽  
Large Uncertainty ◽  
Icu Patients ◽  
Fatality Risk ◽  
Case Fatality Risk ◽  
Respiratory Conditions

AbstractThere is large uncertainty around the case fatality risk (CFR) for COVID-19 in China. Therefore, we considered symptomatic cases outside of China (countries/settings with 20+ cases) and the proportion who are in intensive care units (4.0%, 14/349 on 13 February 2020). Given what is known about CFRs for ICU patients with severe respiratory conditions from a meta-analysis, we estimated a CFR of 1.37% (95%CI: 0.57% to 3.22%) for COVID- 19 cases outside of China.

Abstract 3225: Gross Domestic Product and Health Expenditure Associated with Incidence, 30-Day Fatality and Age at Stroke Onset: A Systematic Review

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Luciano Sposato ◽  
Gustavo Saposnik
Keyword(s):  
Socioeconomic Status ◽  
Gross Domestic Product ◽  
Purchasing Power Parity ◽  
Case Fatality ◽  
Population Based ◽  
Stroke Onset ◽  
Power Parity ◽  
Day Case ◽  
Scatter Plots ◽  
Per Capita

Background: Differences in definitions of socioeconomic status (SES) and between study designs hinder their comparability across countries. We aimed to analyze the correlation of three widely used macro-SES indicators with stroke incidence and age at stroke onset. Methods: We selected population-based studies reporting incident stroke risk and/or 30-day case fatality according to pre-specified criteria. We used three macro-SES indicators that are consistently defined by international agencies: per capita gross domestic product adjusted for purchasing power parity (PPP-aGDP), total health expenditures per capita at purchasing power parity (PPP-aTHE) and unemployment rate. We used two-tailed Spearman’s test and scatter-plots for analyzing the correlation of each macro-SES indicator with incident risk of stroke, 30-day case fatality rates, proportion of hemorrhagic strokes and age at stroke onset. Results: Twenty-three manuscripts comprising 30 population-based studies fulfilled the eligibility criteria. Age-adjusted incident risk of stroke using standardized World Health Organization World population, 30-day case fatality rates, proportion of hemorrhagic strokes and age at stroke onset were associated to lower PPP-aGDP and PPP-aTHE ( Table 1 and Figures 2 and 3). There was no correlation between unemployment rates and outcome measures. Table 1. Correlation Analyses of Macro-Indicators of Socioeconomic Status Figures 1. Scatter Plots for PPP-aGDP Figures 2. Scatter Plots for PPP-aTHE Conclusions: Lower PPP-aGDP and PPP-aTHE were associated with higher incident risk of stroke, higher case fatality, greater proportion of hemorrhagic strokes and lower age at stroke onset. As a result, these macro-SES indicators may be used as proxy measures of quality of primary prevention and acute care and considered as important factors for developing strategies aimed at improving worldwide stroke care.

scholarly journals Does inappropriate initial antibiotic therapy affect in-hospital mortality of patients in the emergency department with Escherichia coli and Klebsiella pneumoniae bloodstream infections?

2020 ◽  
Vol 34 ◽  
pp. 205873842094237
Author(s):  
Fu-Cheng Chen ◽  
Yu-Ni Ho ◽  
Hsien-Hung Cheng ◽  
Chien-Hung Wu ◽  
Meng-Wei Change ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Emergency Department ◽  
Logistic Regression ◽  
Mortality Rate ◽  
Klebsiella Pneumoniae ◽  
Hospital Mortality ◽  
Multiple Logistic Regression ◽  
E Coli ◽  
Time To Antibiotics ◽  
Qsofa Score

Extended-spectrum β-lactamase (ESBL)-positive bloodstream infection (BSI) is on the rise worldwide. The purpose of this study is to evaluate the impact of inappropriate initial antibiotic therapy (IIAT) on in-hospital mortality of patients in the emergency department (ED) with Escherichia coli and Klebsiella pneumoniae BSIs. This retrospective single-center cohort study included all adult patients with E. coli and K. pneumoniae BSIs between January 2007 and December 2013, who had undergone a blood culture test and initiation of antibiotics within 6 h of ED registration time. Multiple logistic regression was used to adjust for bacterial species, IIAT, time to antibiotics, age, sex, quick Sepsis Related Organ Failure Assessment (qSOFA) score ⩾ 2, and comorbidities. A total of 3533 patients were enrolled (2967 alive and 566 deceased, in-hospital mortality rate 16%). The patients with K. pneumoniae ESBL-positive BSI had the highest mortality rate. Non-survivors had qSOFA scores ⩾ 2 (33.6% vs 9.5%, P < 0.001), more IIAT (15.0% vs 10.7%, P = 0.004), but shorter mean time to antibiotics (1.70 vs 1.84 h, P < 0.001). A qSOFA score ⩾ 2 is the most significant predictor for in-hospital mortality; however, IIAT and time to antibiotics were not significant predictors in multiple logistic regression analysis. In subgroup analysis divided by qSOFA scores, IIAT was still not a significant predictor. Severity of the disease (qSOFA score ⩾ 2) is the key factor influencing in-hospital mortality of patients with E. coli and K. pneumoniae BSIs. The time to antibiotics and IIAT were not significant predictors because they in turn were affected by disease severity.

scholarly journals A Comparison of Case Fatality Risk of COVID-19 between Singapore and Japan

2020 ◽  
Vol 9 (10) ◽  
pp. 3326
Author(s):  
Taishi Kayano ◽  
Hiroshi Nishiura
Keyword(s):  
Age Distribution ◽  
Case Fatality ◽  
Standardized Mortality Ratio ◽  
Fatality Risk ◽  
Illness Onset ◽  
High Virulence ◽  
Mortality Ratio ◽  
The Many ◽  
Case Fatality Risk ◽  
Protection Against Infection

The crude case fatality risk (CFR) for coronavirus disease (COVID-19) in Singapore is remarkably small. We aimed to estimate the unbiased CFR by age for Singapore and Japan and compare these estimates by calculating the standardized mortality ratio (SMR). Age-specific CFRs for COVID-19 were estimated in real time, adjusting for the delay from illness onset to death. The SMR in Japan was estimated by using the age distribution of the Singapore population. Among cases aged 60–69 years and 70–79 years, the age-specific CFRs in Singapore were estimated as 1.84% (95% confidence interval: 0.46–4.72%) and 5.57% (1.41–13.97%), respectively, and those in Japan as 5.52% (4.55–6.62%) and 15.49% (13.81–17.27%), respectively. The SMR of COVID-19 in Japan, when compared with Singapore as the baseline, was estimated to be 1.46 (1.09–2.96). The overall CFR for Singapore is lower than that for Japan. It is possible that the circulating variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Singapore causes a milder clinical course of COVID-19 infection compared with other strains. If infection with a low-virulence SARS-CoV-2 variant provides protection against infection by high-virulence strains, the existence of such a strain is encouraging news for the many countries struggling to suppress this virus.

scholarly journals Estimation of Coronavirus Disease Case-Fatality Risk in Real Time

2020 ◽  
Vol 26 (8) ◽  
pp. 1922-1923 ◽  
Author(s):  
Yang Ge ◽  
Shengzhi Sun
Keyword(s):  
Real Time ◽  
Case Fatality ◽  
Fatality Risk ◽  
Disease Case ◽  
Case Fatality Risk

Outcome of community-onset ESBL-producing Escherichia coli and Klebsiella pneumoniae bacteraemia and urinary tract infection: a population-based cohort study in Denmark

2020 ◽  
Vol 75 (12) ◽  
pp. 3656-3664
Author(s):  
Rasmus Richelsen ◽  
Jesper Smit ◽  
Henrik Carl Schønheyder ◽  
Pavithra Laxsen Anru ◽  
Belen Gutiérrez-Gutiérrez ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Urinary Tract Infection ◽  
Cohort Study ◽  
Urinary Tract ◽  
Tract Infection ◽  
Klebsiella Pneumoniae ◽  
Population Based ◽  
Esbl Production ◽  
E Coli ◽  
Community Onset

Abstract Objectives To assess the impact of ESBL production on mortality and length of hospital stay (LOS) of community-onset infections due to Escherichia coli or Klebsiella pneumoniae. Methods A population-based cohort study including all adult patients hospitalized with a first-time community-onset E. coli or K. pneumoniae bacteraemia or urinary tract infection in the North Denmark Region between 2007 and 2017. For each bacterial agent, we computed 1 year Kaplan–Meier survival curves and cumulative incidence functions of LOS, and by use of Cox proportional hazard regression we computed HRs as estimates of 30 day and 1 year mortality rate ratios (MRRs) and LOS among patients with and without ESBL-producing infections. Results We included 24 518 cases (among 22350 unique patients), of whom 1018 (4.2%) were infected by an ESBL-producing bacterium. The 30 day cumulative mortality and adjusted MRR (aMRR) in patients with and without ESBL-producing isolates was as follows: E. coli bacteraemia (n = 3831), 15.8% versus 14.0%, aMRR = 1.01 (95% CI = 0.70–1.45); E. coli urinary tract infection (n = 17151), 9.5% versus 8.7%, aMRR = 0.97 (95% CI = 0.75–1.26); K. pneumoniae bacteraemia (n = 734), 0% versus 17.2%, aMRR = not applicable; and K. pneumoniae urinary tract infection (n = 2802), 13.8% versus 10.7%, aMRR = 1.13 (95% CI = 0.73–1.75). The 1 year aMRR remained roughly unchanged. ESBL-producing E. coli bacteraemia was associated with an increased LOS compared with non-ESBL production. Conclusions ESBL production was not associated with an increased short- or long-term mortality in community-onset infections due to E. coli or K. pneumoniae, yet ESBL-producing E. coli bacteraemia was associated with an increased LOS.

scholarly journals Case Fatality Risk of the First Pandemic Wave of Coronavirus Disease 2019 (COVID-19) in China

2020 ◽  
Author(s):  
Xiaowei Deng ◽  
Juan Yang ◽  
Wei Wang ◽  
Xiling Wang ◽  
Jiaxin Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Influenza Pandemic ◽  
Mainland China ◽  
Case Fatality ◽  
Likelihood Estimation ◽  
H1n1 Influenza ◽  
Right Censoring ◽  
Time To Event ◽  
Fatality Risk ◽  
Case Fatality Risk

Abstract Background To assess the case fatality risk (CFR) of COVID-19 in mainland China, stratified by region and clinical category, and estimate key time-to-event intervals. Methods We collected individual information and aggregated data on COVID-19 cases from publicly available official sources from 29 December 2019 to 17 April 2020. We accounted for right-censoring to estimate the CFR and explored the risk factors for mortality. We fitted Weibull, gamma, and log-normal distributions to time-to-event data using maximum-likelihood estimation. Results We analyzed 82 719 laboratory-confirmed cases reported in mainland China, including 4632 deaths and 77 029 discharges. The estimated CFR was 5.65% (95% confidence interval [CI], 5.50–5.81%) nationally, with the highest estimate in Wuhan (7.71%) and lowest in provinces outside Hubei (0.86%). The fatality risk among critical patients was 3.6 times that of all patients and 0.8–10.3-fold higher than that of mild-to-severe patients. Older age (odds ratio [OR], 1.14 per year; 95% CI, 1.11–1.16) and being male (OR, 1.83; 95% CI, 1.10–3.04) were risk factors for mortality. The times from symptom onset to first healthcare consultation, to laboratory confirmation, and to hospitalization were consistently longer for deceased patients than for those who recovered. Conclusions Our CFR estimates based on laboratory-confirmed cases ascertained in mainland China suggest that COVID-19 is more severe than the 2009 H1N1 influenza pandemic in hospitalized patients, particularly in Wuhan. Our study provides a comprehensive picture of the severity of the first wave of the pandemic in China. Our estimates can help inform models and the global response to COVID-19.

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