scholarly journals Factors Associated with Mortality in Critically Ill Patients Diagnosed with Hospital Acquired Infections

2020 ◽  
Vol Volume 13 ◽  
pp. 2811-2817
Author(s):  
Matheus L Otero ◽  
Rodrigo C Menezes ◽  
Isabella B B Ferreira ◽  
Francine L Issa ◽  
Gabriel Agareno ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Hospital Acquired Infections ◽  
Factors Associated ◽  
Hospital Acquired

scholarly journals Factors Associated with Mortality in Critically Ill Patients Diagnosed with Hospital Acquired Infections [Erratum]

2021 ◽  
Vol Volume 14 ◽  
pp. 4699-4700
Author(s):  
Matheus L Otero ◽  
Rodrigo C Menezes ◽  
Isabella B B Ferreira ◽  
Francine L Issa ◽  
Gabriel Agareno ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Hospital Acquired Infections ◽  
Factors Associated ◽  
Hospital Acquired

scholarly journals Low-Copy Number Polymorphism in DEFA1/DEFA3 Is Associated with Susceptibility to Hospital-Acquired Infections in Critically Ill Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Jialian Zhao ◽  
Qiang Gu ◽  
Lifeng Wang ◽  
Weize Xu ◽  
Lihua Chu ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Copy Number ◽  
Predictive Ability ◽  
Copy Number Variations ◽  
Copy Number Polymorphism ◽  
Hospital Acquired Infections ◽  
Low Copy Number ◽  
Genes Encoding ◽  
Hospital Acquired

DEFA1/DEFA3, genes encoding human neutrophil peptides (HNP) 1–3, display wide-ranging copy number variations (CNVs) and is functionally associated with innate immunity and infections. To identify potential associations between DEFA1/DEFA3 CNV and hospital-acquired infections (HAIs), we enrolled 106 patients with HAIs and 109 controls in the intensive care unit (ICU) and examined their DEFA1/DEFA3 CNVs. DEFA1/DEFA3 copy number ranged from 2 to 16 per diploid genome in all 215 critically ill patients, with a median of 7 copies. In HAIs, DEFA1/DEFA3 CNV varied from 2 to 12 with a median of 6, which was significantly lower than that in controls (2 to 16 with a median of 8, p=0.017). Patients with lower DEFA1/DEFA3 copy number (CNV < 7) were far more common in HAIs than in controls (52.8% in HAIs versus 35.8% in controls; p=0.014; OR, 2.010; 95% CI, 1.164–3.472). The area under the receiver operating characteristic (AUROC) of DEFA1/DEFA3 CNV combined with clinical characteristics to predict the incidence of HAIs was 0.763 (95% CI 0.700–0.827), showing strong predictive ability. Therefore, lower DEFA1/DEFA3 copy number contributes to higher susceptibility to HAIs in critically ill patients, and DEFA1/DEFA3 CNV is a significant hereditary factor for predicting HAIs.

scholarly journals Is platelet transfusion associated with hospital-acquired infections in critically ill patients?

Critical Care ◽  
2017 ◽  
Vol 21 (1) ◽  
Author(s):  
Cécile Aubron ◽  
Andrew W. Flint ◽  
Michael Bailey ◽  
David Pilcher ◽  
Allen C. Cheng ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Platelet Transfusion ◽  
Hospital Acquired Infections ◽  
Hospital Acquired

Hospital-Acquired Pneumonia in Critically Ill Patients: Factors Associated with Episodes Due to Imipenem-Resistant Organisms

Infection ◽  
2005 ◽  
Vol 33 (3) ◽  
pp. 129-135 ◽  
Author(s):  
O. Leroy ◽  
T. d’Escrivan ◽  
P. Devos ◽  
L. Dubreuil ◽  
E. Kipnis ◽  
...  
Keyword(s):  
Critically Ill ◽  
Critically Ill Patients ◽  
Factors Associated ◽  
Hospital Acquired Pneumonia ◽  
Hospital Acquired

Use of a Patient Hand Hygiene Protocol to Reduce Hospital-Acquired Infections and Improve Nurses’ Hand Washing

2015 ◽  
Vol 24 (3) ◽  
pp. 216-224 ◽  
Author(s):  
Cherie Fox ◽  
Teresa Wavra ◽  
Diane Ash Drake ◽  
Debbie Mulligan ◽  
Yvonne Pacheco Bennett ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hand Hygiene ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Hand Washing ◽  
Care Providers ◽  
Infection Rates ◽  
Hospital Acquired Infections ◽  
Hospital Acquired

Background Critically ill patients are at marked risk of hospital-acquired infections, which increase patients’ morbidity and mortality. Registered nurses are the main health care providers of physical care, including hygiene to reduce and prevent hospital-acquired infections, for hospitalized critically ill patients. Objective To investigate a new patient hand hygiene protocol designed to reduce hospital-acquired infection rates and improve nurses’ hand-washing compliance in an intensive care unit. Methods A preexperimental study design was used to compare 12-month rates of 2 common hospital-acquired infections, central catheter–associated bloodstream infection and catheter-associated urinary tract infection, and nurses’ hand-washing compliance measured before and during use of the protocol. Results Reductions in 12-month infection rates were reported for both types of infections, but neither reduction was statistically significant. Mean 12-month nurse hand-washing compliance also improved, but not significantly. Conclusions A hand hygiene protocol for patients in the intensive care unit was associated with reductions in hospital-acquired infections and improvements in nurses’ hand-washing compliance. Prevention of such infections requires continuous quality improvement efforts to monitor lasting effectiveness as well as investigation of strategies to eliminate these infections.

scholarly journals Frailty status among older critically ill patients with severe acute kidney injury

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
William Beaubien-Souligny ◽  
Alan Yang ◽  
Gerald Lebovic ◽  
Ron Wald ◽  
Sean M. Bagshaw
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Multivariable Analysis ◽  
Kidney Injury ◽  
Multivariable Logistic Regression Analysis ◽  
Clinical Frailty Scale ◽  
Factors Associated ◽  
Frailty Status ◽  
Physiological Variables

Abstract Background Frailty status among critically ill patients with acute kidney injury (AKI) is not well described despite its importance for prognostication and informed decision-making on life-sustaining therapies. In this study, we aim to describe the epidemiology of frailty in a cohort of older critically ill patients with severe AKI, the outcomes of patients with pre-existing frailty before AKI and the factors associated with a worsening frailty status among survivors. Methods This was a secondary analysis of a prospective multicentre observational study that enrolled older (age > 65 years) critically ill patients with AKI. The clinical frailty scale (CFS) score was captured at baseline, at 6 months and at 12 months among survivors. Frailty was defined as a CFS score of ≥ 5. Demographic, clinical and physiological variables associated with frailty as baseline were described. Multivariable Cox proportional hazard models were constructed to describe the association between frailty and 90-day mortality. Demographic and clinical factors associated with worsening frailty status at 6 months and 12 months were described using multivariable logistic regression analysis and multistate models. Results Among the 462 patients in our cohort, median (IQR) baseline CFS score was 4 (3–5), with 141 (31%) patients considered frail. Pre-existing frailty was associated with greater hazard of 90-day mortality (59% (n = 83) for frail vs. 31% (n = 100) for non-frail; adjusted hazards ratio [HR] 1.49; 95% CI 1.11–2.01, p = 0.008). At 6 months, 68 patients (28% of survivors) were frail. Of these, 57% (n = 39) were not classified as frail at baseline. Between 6 and 12 months of follow-up, 9 (4% of survivors) patients transitioned from a frail to a not frail status while 10 (4% of survivors) patients became frail and 11 (5% of survivors) patients died. In multivariable analysis, age was independently associated with worsening CFS score from baseline to 6 months (adjusted odds ratio [OR] 1.08; 95% CI 1.03–1.13, p = 0.003). Conclusions Pre-existing frailty is an independent risk factor for mortality among older critically ill patients with severe AKI. A substantial proportion of survivors experience declining function and worsened frailty status within one year.

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