P11.08 Etiology, Resistance and Risk Factors Associated with Outcome Among 1,121 Bloodstream Infection in Intensive Care Units

2006 ◽  
Vol 64 ◽  
pp. S58-S59
Author(s):  
E. Girão ◽  
A. Levin ◽  
M. Basso ◽  
S. Gobara ◽  
L. Brasileiro ◽  
...  
2021 ◽  
Vol 10 (23) ◽  
pp. 5650
Author(s):  
Maxime Volff ◽  
David Tonon ◽  
Youri Bommel ◽  
Noémie Peres ◽  
David Lagier ◽  
...  

Objectives: To describe clinical characteristics and management of intensive care units (ICU) patients with laboratory-confirmed COVID-19 and to determine 90-day mortality after ICU admission and associated risk factors. Methods: This observational retrospective study was conducted in six intensive care units (ICUs) in three university hospitals in Marseille, France. Between 10 March and 10 May 2020, all adult patients admitted in ICU with laboratory-confirmed SARS-CoV-2 and respiratory failure were eligible for inclusion. The statistical analysis was focused on the mechanically ventilated patients. The primary outcome was the 90-day mortality after ICU admission. Results: Included in the study were 172 patients with COVID-19 related respiratory failure, 117 of whom (67%) received invasive mechanical ventilation. 90-day mortality of the invasively ventilated patients was 27.4%. Median duration of ventilation and median length of stay in ICU for these patients were 20 (9–33) days and 29 (17–46) days. Mortality increased with the severity of ARDS at ICU admission. After multivariable analysis was carried out, risk factors associated with 90-day mortality were age, elevated Charlson comorbidity index, chronic statins intake and occurrence of an arterial thrombosis. Conclusion: In this cohort, age and number of comorbidities were the main predictors of mortality in invasively ventilated patients. The only modifiable factor associated with mortality in multivariate analysis was arterial thrombosis.


2020 ◽  
Vol 180 (10) ◽  
pp. 1345 ◽  
Author(s):  
Giacomo Grasselli ◽  
Massimiliano Greco ◽  
Alberto Zanella ◽  
Giovanni Albano ◽  
Massimo Antonelli ◽  
...  

2016 ◽  
Vol 37 (11) ◽  
pp. 1302-1309 ◽  
Author(s):  
Laura Folgori ◽  
Paola Bernaschi ◽  
Simone Piga ◽  
Michaela Carletti ◽  
Filippe Pirrone Cunha ◽  
...  

OBJECTIVESTo describe trends in the epidemiology of healthcare-associated Infections (HAIs) in pediatric/neonatal intensive care units (ICUs) and to evaluate risk factors and impact of multidrug resistance in children admitted to ICUs.DESIGNMulticenter, retrospective, cohort study with a nested case-control study conducted from January 1, 2010, through December 31, 2014.SETTINGThree tertiary care pediatric hospitals in Italy and Brazil with a total of 103 ICU beds.PATIENTSInclusion criteria were admission to ICU during the study period, age at onset less than 18 years, and microbiologically confirmed HAI.RESULTSA total of 538 HAIs in 454 children were included; 93.3% of patients had comorbidities. Bloodstream infections were the leading pattern (45.4%). The cumulative incidence of HAI was 3.6/100 ICU admissions and the crude 30-day fatality rate was 5.7/1,000 admissions. The most frequently isolated pathogens were Enterobacteriaceae, followed by Pseudomonas aeruginosa and Staphylococcus aureus. Forty-four percent of isolates were multidrug-resistant (MDR). Two multivariate logistic regressions were performed. Factors independently associated with an MDR-HAI were country, previous antibiotics, transplantation, major surgery, and colonization by an MDR strain. Factors independently associated with 30-day case fatality were country, previous transplantation, fungal infection, bloodstream infection, lower respiratory tract infection, and infection caused by MDR strains.CONCLUSIONSInfection control and prevention can limit the spread of MDR strains and improve outcomes. Targeted surveillance programs collecting neonatal and pediatric HAI/bloodstream infection data and outcomes would allow global benchmarking. The next step is to identify methods to monitor key HAIs and integrate these into affordable intervention programs.Infect Control Hosp Epidemiol 2016;1–8


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