scholarly journals Early Detection and Prediction by Biomarkers of Acute Kidney Injury After Cardiac Surgery

2012 ◽  
Vol 76 (1) ◽  
pp. 53-54 ◽  
Author(s):  
Kentaro Kohagura ◽  
Yusuke Ohya
2018 ◽  
Vol 32 ◽  
pp. S85
Author(s):  
Martin Hermann Bernardi ◽  
L. Wagner ◽  
M.J. Hiesmayr ◽  
A. Lassnigg

2019 ◽  
Vol 9 (1) ◽  
pp. 108 ◽  
Author(s):  
Cheng-Chia Lee ◽  
Chih-Hsiang Chang ◽  
Ya-Lien Cheng ◽  
George Kuo ◽  
Shao-Wei Chen ◽  
...  

Acute kidney injury (AKI) is associated with increased morbidity and mortality and is frequently encountered in cardiovascular surgical intensive care units (CVS-ICU). In this study, we aimed at investigating the utility of cyclophilin A (CypA) for the early detection of postoperative AKI in patients undergoing cardiac surgery. This was a prospective observational study conducted in a CVS-ICU of a tertiary care university hospital. All prospective clinical and laboratory data were evaluated as predictors of AKI. Serum and urine CypA, as well as urine neutrophil gelatinase-associated lipocalin (uNGAL), were examined within 6 h after cardiac surgery. The discriminative power for the prediction of AKI was evaluated using the area under the receiver operator characteristic curve (AUROC). We found that both serum CypA and urine CypA were significantly higher in the AKI group than in the non-AKI group. For discriminating AKI and dialysis-requiring AKI, serum CypA demonstrated acceptable AUROC values (0.689 and 0.738, respectively). The discrimination ability of urine CypA for predicting AKI was modest, but it was acceptable for predicting dialysis-requiring AKI (AUROC = 0.762). uNGAL best predicted the development of AKI, but its sensitivity was not good. A combination of serum CypA and uNGAL enhanced the overall performance for predicting the future development of AKI and dialysis-requiring AKI. Our results suggest that CypA is suitable as a biomarker for the early detection of postoperative AKI in CVS–ICU. However, it has better discriminating ability when combined with uNGAL for predicting AKI in CVS-ICU patients.


2018 ◽  
Vol 118 (10) ◽  
pp. 626-631 ◽  
Author(s):  
P. Arvin ◽  
H. R. Samimagham ◽  
H. Montazerghaem ◽  
M. Khayatian ◽  
H. Mahboobi ◽  
...  

2012 ◽  
Vol 76 (1) ◽  
pp. 213-220 ◽  
Author(s):  
Katsuomi Matsui ◽  
Atsuko Kamijo-Ikemori ◽  
Takeshi Sugaya ◽  
Takashi Yasuda ◽  
Kenjiro Kimura

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Moritz Schanz ◽  
Severin Schricker ◽  
Tina Oberacker ◽  
Nora Göbel ◽  
Dominik M Alscher ◽  
...  

Abstract Background and Aims Microscopic examination of urine sediment is a well-established and inexpensive technique for differential diagnosis of acute kidney injury. Especially renal tubular epithelial cells (RTEC) and granular casts (GC) have been shown to be a strong predictor of acute tubule necrosis (ATN), the assumed most common cause for AKI in cardiac surgery patients. So far, no study evaluated urine sediment before manifest AKI is evident. Therefore, the aim of this prospective trial was to evaluate if early changes of urine sediment parameters are indicative for development of acute kidney injury. Method Sequential urine sediment specimens were analyzed on day 0 (d0), day 1 (d1) and day 4 or 5 (d5) after cardiac surgery in n=37 patients. Urine analysis was conducted immediately after collection of urine specimens. Analysis includes detection of RTEC and GC as well as hyaline casts (HC), squamous epithelium (SE), erythrocyte count (EC) and leucocyte count (LC). Urine score (US) - consisting of RTEC and GC - which is described as indicative for ATN, was calculated as described previously. For detection of AKI, serum creatinine, serum cystatin c and urine output were recorded. Urine sediment changes over time were analyzed using differences between day of surgery (d0) and day 1 (d0-d1 = Δd1) or day 5 (d0-d5 = Δd5), respectively. Results Of the 37 included patients n=10 (27%) developed AKI within 5 days. According to the definition of KDIGO 2012, two patients developed Stage 1 (20%), six patients Stage 2 (60%) and two patients Stage 3 (20%) AKI. Median age was 67 years (IQR: 63.5-73.0). Mean HC, GC, RTEC and US tended to be higher in AKI patients from day one after surgery. Looking at the urine sediment changes over time (Median; IQR), Δd1 of RTEC (AKI: 0.65; 0.00 – 1.15 vs. No AKI: 0.00; -0.03 – 0.03; p=0.010), GC (AKI: 0.25; 0.00 – 0.50; No AKI: 0.00; -0.20 – 0.00; p=0.002) and US (AKI: 0.00; -0.25 – 0.00 vs. No AKI: 0.00; 0.00 – 1.00; p=0.047) were significant higher in AKI group. Also HC (AKI: 1.00; 0.00 – 1.00; No AKI: 0.00; -1.25 – 1.00; p>0.05) tended to be higher in AKI on Δd1, whereas SE, EC and LC did not show any trend between both groups. Δd5 did not show any significant result between AKI and non-AKI. Because all of these patients were catheterised, the results on urinary erythrocyte count were interpreted with appropriate caution. Conclusion This is the first study evaluating sequential urine sediment measurements for early detection of AKI in cardiac surgery. According to these preliminary data, Δd1 of RTEC, GC and US is significant higher in AKI, suggesting that an increase from day of surgery to day 1 may be indicative for the development of AKI right before manifest AKI is evident. Therefore sequential urine sediment measurements could be useful for early detection of AKI after cardiac surgery.


2020 ◽  
Vol 38 (1) ◽  
pp. 13-21
Author(s):  
Martin H. Bernardi ◽  
Ludwig Wagner ◽  
Sylvia Ryz ◽  
Juergen Puchinger ◽  
Larissa Nixdorf ◽  
...  

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