Literature DB >> 15865270

Influence of matching for exposure time on estimates of attributable mortality caused by nosocomial bacteremia in critically ill patients.

Stijn Blot1, Dirk De Bacquer, Eric Hoste, Pieter Depuydt, Koenraad Vandewoude, Jan De Waele, Dominique Benoit, Johan De Schuijmer, Francis Colardyn, Dirk Vogelaers.   

Abstract

OBJECTIVE: To evaluate the influence of matching on exposure time on estimates of attributable mortality of nosocomial bacteremia as assessed by matched cohort studies.
DESIGN: Two retrospective, pairwise-matched (1:2) cohort studies.
SETTING: A 54-bed intensive care unit (ICU) in a university hospital. PATIENTS: Patients with nosocomial Escherichia coli bacteremia (n = 68) and control-patients without nosocomial bacteremia (n = 136 for each matched cohort study). INTERVENTION: In both matched cohort studies, the same set of bacteremic patients was matched with control-patients using the APACHE II system. In the first study, control-patients were required to have an ICU stay at least as long as the respective bacteremic patient prior to onset of bacteremia (matching on exposure time). In the second study, control-patients were required to have an ICU stay shorter than the stay prior to the development of bacteremia in the respective bacteremic patient (no matching on exposure time).
RESULTS: For bacteremic patients, the mean ICU stay before onset of the bacteremia was 9 days (median, 6 days). In the first matched cohort study, hospital mortality was not different between bacteremic patients and control-patients (44.1% vs 43.4%; P = .999). In the second study, mortality of bacteremic patients and control-patients was also not different (44.1% vs 47.8%; P = .657). Mortality rates between control groups were not different (43.4% vs 47.8%; P = .543).
CONCLUSION: Matching or not matching on exposure time did not alter the estimate of attributable mortality for ICU patients with E. coli bacteremia.

Entities:  

Mesh:

Year:  2005        PMID: 15865270     DOI: 10.1086/502551

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  6 in total

1.  Invasive devices: no need? No use!

Authors:  Stijn I Blot; Renaat Peleman; Koenraad H Vandewoude
Journal:  Intensive Care Med       Date:  2006-12-05       Impact factor: 17.440

2.  Assessment of extended-spectrum β-lactamases and integrons among Enterobacteriaceae in device-associated infections: multicenter study in north of Iran.

Authors:  Masoumeh Bagheri-Nesami; Alireza Rafiei; Gohar Eslami; Fatemeh Ahangarkani; Mohammad Sadegh Rezai; Attieh Nikkhah; Azin Hajalibeig
Journal:  Antimicrob Resist Infect Control       Date:  2016-12-01       Impact factor: 4.887

3.  The healthcare costs of antimicrobial resistance in Lebanon: a multi-centre prospective cohort study from the payer perspective.

Authors:  Katia Iskandar; Christine Roques; Souheil Hallit; Rola Husni-Samaha; Natalia Dirani; Rana Rizk; Rachel Abdo; Yasmina Yared; Matta Matta; Inas Mostafa; Roula Matta; Pascale Salameh; Laurent Molinier
Journal:  BMC Infect Dis       Date:  2021-05-01       Impact factor: 3.090

4.  The Impact of Nosocomial Bloodstream Infections on Mortality: A Retrospective Propensity-Matched Cohort Study.

Authors:  Neta Petersiel; Assa Sherman; Mical Paul
Journal:  Open Forum Infect Dis       Date:  2021-11-06       Impact factor: 3.835

5.  Measuring the in-hospital costs of Pseudomonas aeruginosa pneumonia: methodology and results from a German teaching hospital.

Authors:  Klaus Kaier; Thomas Heister; Tim Götting; Martin Wolkewitz; Nico T Mutters
Journal:  BMC Infect Dis       Date:  2019-12-03       Impact factor: 3.090

6.  Burden of Antimicrobial Resistance: Compared to What?

Authors:  Marlieke E A de Kraker; Marc Lipsitch
Journal:  Epidemiol Rev       Date:  2022-01-14       Impact factor: 6.222

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.