Minimizing central line–associated bloodstream infections in a high-acuity liver transplant intensive care unit

2019 ◽  
Vol 47 (3) ◽  
pp. 305-312 ◽  
Author(s):  
Tara A Russell ◽  
Elyse Fritschel ◽  
Jennifer Do ◽  
Melanie Donovan ◽  
Maureen Keckeisen ◽  
...  
2017 ◽  
Vol 225 (4) ◽  
pp. e168-e169
Author(s):  
Tara A. Russell ◽  
Elyse Fritschel ◽  
Jennifer Do ◽  
Melanie Donovan ◽  
Mo Keckeisen ◽  
...  

2010 ◽  
Vol 31 (05) ◽  
pp. 551-553 ◽  
Author(s):  
Emily K. Shuman ◽  
Laraine L. Washer ◽  
Jennifer L. Arndt ◽  
Christy A. Zalewski ◽  
Robert C. Hyzy ◽  
...  

Central line-associated bloodstream infections (CLABSIs) have been reduced in number but not eliminated in our intensive care units with use of central line bundles. We performed an analysis of remaining CLABSIs. Many bloodstream infections that met the definition of CLABSI had sources other than central lines or represented contaminated blood samples.


2019 ◽  
Vol 21 (4) ◽  
pp. 481-489
Author(s):  
Safaa Alkhawaja ◽  
Nermeen Kamal Saeed ◽  
Victor Daniel Rosenthal ◽  
Sana Abdul-Aziz ◽  
Ameena Alsayegh ◽  
...  

Background: Central line–associated bloodstream infections are serious life-threatening infections in the intensive care unit setting. Methods: To analyze the impact of the International Nosocomial Infection Control Consortium (INICC) Multidimensional Approach (IMA) and INICC Surveillance Online System (ISOS) on central line–associated bloodstream infection rates in Bahrain from January 2013 to December 2016, we conducted a prospective, before-after surveillance, cohort, observational study in one intensive care unit in Bahrain. During baseline, we performed outcome and process surveillance of central line–associated bloodstream infection on 2320 intensive care unit patients, applying Centers for Disease Control and Prevention’s National Healthcare Safety Network definitions. During intervention, we implemented IMA through ISOS, including (1) a bundle of infection prevention interventions, (2) education, (3) outcome surveillance, (4) process surveillance, (5) feedback on central line–associated bloodstream infection rates and consequences, and (6) performance feedback of process surveillance. Bivariate and multivariate regression analyses were performed using a logistic regression model to estimate the effect of the intervention on the central line–associated bloodstream infection rate. Results: During baseline, 672 central line days and 7 central line–associated bloodstream infections were recorded, accounting for 10.4 central line–associated bloodstream infections per 1000 central line days. During intervention, 13,020 central line days and 48 central line–associated bloodstream infections were recorded. After the second year, there was a sustained 89% cumulative central line–associated bloodstream infection rate reduction to 1.2 central line–associated bloodstream infections per 1000 central line days (incidence density rate, 0.11; 95% confidence interval 0.1–0.3; p, 0.001). The average extra length of stay of patients with central line–associated bloodstream infection was 23.3 days, and due to the reduction of central line–associated bloodstream infections, 367 days of hospitalization were saved, amounting to a reduction in hospitalization costs of US$1,100,553. Conclusion: Implementing IMA was associated with a significant reduction in the central line–associated bloodstream infection rate in Bahrain.


2015 ◽  
Vol 37 (2) ◽  
pp. 149-155 ◽  
Author(s):  
Bala Hota ◽  
Paul Malpiedi ◽  
Scott K. Fridkin ◽  
John Martin ◽  
William Trick

OBJECTIVETo develop a probabilistic method for measuring central line–associated bloodstream infection (CLABSI) rates that reduces the variability associated with traditional, manual methods of applying CLABSI surveillance definitions.DESIGNMulticenter retrospective cohort study of bacteremia episodes among patients hospitalized in adult patient-care units; the study evaluated presence of CLABSI.SETTINGHospitals that used SafetySurveillor software system (Premier) and who also reported to the Centers for Disease Control and Prevention’s National Healthcare Safety Network (NHSN).PATIENTSPatients were identified from a stratified sample from all eligible blood culture isolates from all eligible hospital units to generate a final set with an equal distribution (ie, 20%) from each unit type. Units were divided a priori into 5 major groups: medical intensive care unit, surgical intensive care unit, medical-surgical intensive care unit, hematology unit, or general medical wards.INTERVENTIONSEpisodes were reviewed by 2 experts, and a selection of discordant reviews were re-reviewed. Data were joined with NHSN data for hospitals for in-plan months. A predictive model was created; model performance was assessed using the c statistic in a validation set and comparison with NHSN reported rates for in-plan months.RESULTSA final model was created with predictors of CLABSI. The c statistic for the final model was 0.75 (0.68–0.80). Rates from regression modeling correlated better with expert review than NHSN-reported rates.CONCLUSIONSThe use of a regression model based on the clinical characteristics of the bacteremia outperformed traditional infection preventionist surveillance compared with an expert-derived reference standard.Infect. Control Hosp. Epidemiol. 2016;37(2):149–155


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