scholarly journals International Survey on the Management of Acute Kidney Injury in Critically Ill Patients: Year 2007

2010 ◽  
Vol 30 (3) ◽  
pp. 214-220 ◽  
Author(s):  
Flavio Basso ◽  
Zaccaria Ricci ◽  
Dinna Cruz ◽  
Claudio Ronco
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
International Survey

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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