Impact of red blood cells transfusion on ICU-acquired bloodstream infections: A case-control study

Michalia, Martha; Kompoti, Maria; Panagiotakopoulou, Aikaterini; Kallitsi, G; Charitidi, M; Trikka-Graphakos, Eleftheria; Clouva-Molyvdas, Phyllis-Maria

doi:10.1016/j.jcrc.2012.01.001

Cited by 10 publications

(11 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Older age and patients with a wide range of comorbid medical illnesses not limited to immune suppression, diabetes, congestive heart failure, chronic liver disease, peripheral vascular diseases, renal diseases, coronary heart diseases, and cancer have all been shown to increase risk in the community and hospital settings [9,11 & 45,46]. Red blood cell transfusion has been associated with an increased risk for BSI [47], and the use of total parenteral nutrition increases risk, particularly, due to yeasts [48]. A number of host-specific immune determinants have also been identified as risk factors.…”

Section: Risk Factorsmentioning

confidence: 99%

Update on bloodstream infections in ICUs

Timsit

Laupland²

2012

Current Opinion in Critical Care

View full text Add to dashboard Cite

The incidence of healthcare-associated BSIs increases and is associated with bacteria resistant to antimicrobials used in community-acquired infections. The recent years have witnessed the emergence of extensively resistant bacteria in many regions worldwide, and this is associated with major implications for failure of antimicrobial therapies. Enhanced preventive efforts and optimization of therapy are needed in order to reduce the major burden of BSIs in critically ill patients and to minimize the further emergence of resistance.

show abstract

Section: Risk Factorsmentioning

confidence: 99%

Update on bloodstream infections in ICUs

Timsit

Laupland²

2012

Current Opinion in Critical Care

View full text Add to dashboard Cite

show abstract

“…While the PS was developed for the analysis of cohort data, it has nonetheless been used as a matching variable for cases and controls in medical investigations (e.g. [6,[9][10][11][12]). We found that matching cases and controls on the PS could lead to substantial underestimation of true effect sizes, based on conditional or unconditional logistic regression models.…”

Section: Discussionmentioning

confidence: 99%

“…[6]), but also for casecontrol studies (e.g. [7][8][9]). In these applications, the aim was to estimate conditional parameters, that is given a set of covariates.…”

Section: Introductionmentioning

confidence: 99%

On the use and misuse of scalar scores of confounders in design and analysis of observational studies

Pfeiffer

Riedl

2015

Statist. Med.

View full text Add to dashboard Cite

We assess the asymptotic bias of estimates of exposure effects conditional on covariates when summary scores of confounders, instead of the confounders themselves, are used to analyze observational data. First, we study regression models for cohort data that are adjusted for summary scores. Second, we derive the asymptotic bias for case-control studies when cases and controls are matched on a summary score, and then analyzed either using conditional logistic regression or by unconditional logistic regression adjusted for the summary score. Two scores, the propensity score (PS) and the disease risk score (DRS) are studied in detail. For cohort analysis, when regression models are adjusted for the PS, the estimated conditional treatment effect is unbiased only for linear models, or at the null for non-linear models. Adjustment of cohort data for DRS yields unbiased estimates only for linear regression; all other estimates of exposure effects are biased. Matching cases and controls on DRS and analyzing them using conditional logistic regression yields unbiased estimates of exposure effect, whereas adjusting for the DRS in unconditional logistic regression yields biased estimates, even under the null hypothesis of no association. Matching cases and controls on the PS yield unbiased estimates only under the null for both conditional and unconditional logistic regression, adjusted for the PS. We study the bias for various confounding scenarios and compare our asymptotic results with those from simulations with limited sample sizes. To create realistic correlations among multiple confounders, we also based simulations on a real dataset.

show abstract

“…Les mécanismes du TRIM sont mal connus, mais semblent impliquer les leucocytes et les antigènes du donneur présents dans la poche ainsi que l'accumulation de substances bioactives pendant la période de stockage [57,58]. Ainsi, plusieurs études observationnelles ont suggéré que la transfusion de CGR était indépendamment associée à une augmentation de l'incidence des infections acquises en réanimation [59][60][61]. Les études randomisées comparant une approche restrictive versus libérale pour la transfusion de CGR ne retrouvaient pas de différences significatives concernant la survenue d'infections secondaires entre les deux stratégies, mais avec un manque de puissance certain (Tableaux 1, 2).…”

Section: Traumatisme Crânien Graveunclassified

Transfusion de concentrés globulaires en réanimation : moins, c’est mieux !

Champigneulle

Pène

2014

Réanimation

View full text Add to dashboard Cite

Impact of red blood cells transfusion on ICU-acquired bloodstream infections: A case-control study

Cited by 10 publications

References 24 publications

Update on bloodstream infections in ICUs

Update on bloodstream infections in ICUs

On the use and misuse of scalar scores of confounders in design and analysis of observational studies

Transfusion de concentrés globulaires en réanimation : moins, c’est mieux !

Contact Info

Product

Resources

About