Fate of the Kidneys in Patients with Post-Operative Renal Failure After Cardiac Surgery

2022 ◽  
Vol 272 ◽  
pp. 166-174
Lauren V Huckaby ◽  
Laura M Seese ◽  
Nicholas Hess ◽  
Edgar Aranda-Michel ◽  
Ibrahim Sultan ◽  
2006 ◽  
Vol 54 (S 1) ◽  
F Isgro ◽  
AH Kiessling ◽  
U Weisse ◽  
S Piper ◽  
A Lehmann ◽  

2006 ◽  
Vol 54 (S 1) ◽  
T Krabatsch ◽  
M Bechtel ◽  
C Detter ◽  
T Fischlein ◽  
FC Riess ◽  

Renal Failure ◽  
2009 ◽  
Vol 31 (8) ◽  
pp. 633-640 ◽  
Susan M. Martinelli ◽  
Uptal D. Patel ◽  
Barbara G. Phillips-Bute ◽  
Carmelo A. Milano ◽  
Laura E. Archer ◽  

2019 ◽  
Vol 6 (3) ◽  
pp. 756
Praveen Dhaulta ◽  
Vikas Panwar

Background: Acute kidney injury (AKI) is one of the most serious complications during the postoperative period of cardiac surgery. Multiple variables predict the ARF after cardiac surgery. Objective of this study was to evaluate the significance of pre and peri-operative variables which may help in predicting the chances of developing ARF after cardiac surgery.Methods: This study was an observational, prospective study conducted among patients who were scheduled to undergo open heart surgery under cardiopulmonary bypass.Results: In total, 50 patients who underwent open-heart surgery, ARF was seen in 5 patients, with the incidence rate of 10%. Acute renal failure was present in one patient with ejection fraction <35, 2 patients had ejection fraction between 35 to 50 and 2 patients with ejection fraction >50. It was seen in 4 patients with 1-2 hrs of cardiopulmonary bypass and in 1 patient with >2 hrs of cardiopulmonary bypass. ARF was also seen in 4 patients with hematocrit between 22-26% and in 1 patient with >26%.Conclusions: The study provided a clinical variable score that can predict ARF after open-heart surgery. The score enhances the accuracy of prediction by accounting for the effect of all major risk factors of ARF.

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Dana H Lee ◽  
Billie Jean Martin ◽  
Alexandra M Yip ◽  
Karen J Buth ◽  
Gregory M Hirsch

Patients referred for cardiac surgery are increasingly older, but chronological age does not always capture biological age. This study assessed frailty, as a functional parameter of biological age, as a predictor of mortality or prolonged institutional care. Functional measures of frailty and clinical preoperative data were collected for all cardiac surgery patients at a single center (2004 –2007). Based on the Katz Index of Activities of Daily Living, frailty was defined as any impairment in feeding, bathing, dressing, transferring, toileting, continence, or ambulation, or dementia. The impact of frailty on in-hospital mortality or institutional discharge (other hospital or nursing facility) was assessed with multivariate logistic regression. The interaction of frailty and age was examined, with non-frail patients age<70 as the referent group. Results: Of 3096 patients, 133 (4.3%) were frail. Frail patients were older, more likely to be female, have COPD, CHF, EF<40%, recent MI, pre-operative renal failure, cerebrovascular disease, greater acuity, and more complex operations (p<0.05). Frail patients experienced higher rates of mortality, sepsis, delirium, post-operative renal failure, and transfusion (p<0.001). A greater proportion of frail patients than non-frail patients (49% vs. 9%) were discharged to a setting other than home. In the risk-adjusted models, frailty was an independent predictor of mortality (OR 1.8, 95% CI 1.0 –3.2) or institutional discharge (OR 6.4, 95% CI 4.1–9.9). Furthermore, frail elderly (age≥70) patients had greater risk of institutional discharge (OR 22.7, CI 12.4 – 41.7) than frail younger patients (OR 6.5, CI 3.4 –12.5) or non-frail elderly patients (OR 3.5, CI 2.6 – 4.6). Similarly, frail elderly patients had greater risk of mortality (OR 4.0, CI 1.9 – 8.1) than frail younger patients (OR 1.9, CI 0.8 – 4.7) or non-frail elderly patients (OR 2.4, CI 1.7–3.5). Frailty was an independent predictor of in-hospital mortality and prolonged institutional care. Frailty combined with older age further discriminated those at highest risk. Special consideration should be given to the management of frail elderly patients who have surgical cardiac disease.

2009 ◽  
pp. 977-983
Charuhas V. Thakar ◽  
Emil P. Paganini

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