Predictive value of kidney injury molecule-1 for acute kidney injury in paediatric patients undergoing cardiac surgery

Author(s):  
Sara Kasem
2018 ◽  
Vol 27 ◽  
pp. S522-S523
Author(s):  
Shahrul Hashim ◽  
Yeong Sing Lee ◽  
Kenny Cheng ◽  
Ashvin Nair ◽  
Sivakumar Krishnasamy ◽  
...  

2019 ◽  
Vol 44 (3) ◽  
pp. 415-425
Author(s):  
Miaolin Che ◽  
Xudong Wang ◽  
Bo Xie ◽  
Ritai Huang ◽  
Shang Liu ◽  
...  

Background/Aims: Cardiac surgery-associated acute kidney injury (CSA-AKI) was traditionally defined as an increase in serum creatinine (sCr) after cardiac surgery. Recently, serum cystatin C (sCyC) has been proposed to be a better biomarker in the prediction of AKI. The clinical utility and performance of combining sCyC and sCr in patients with AKI, particularly for the prediction of long-term outcomes, remain unknown. Methods: We measured sCyC together with sCr in 628 patients undergoing cardiac surgery. sCyC and sCr were assessed at baseline and 24 and 48 h after surgery. CSA-AKI determined by sCr (CSA-AKIsCr) was defined as an sCr increase greater than 0.3 mg/dL or 50% from baseline. Major adverse events (MAEs; including death of any cause and dialysis) at 3 years were assessed. Results: CSA-AKIsCr developed in 178 patients (28.3%). Three-year follow-up was available for 621 patients; MAEs occurred in 42 patients (6.8%). An increase in sCyC concentration ≥30% within 48 h after surgery was detected in 228 patients (36.3%). This was the best sCyC cutoff for CSA-AKIsCr detection (negative predictive value = 88.8%, positive predictive value = 58.3%). To evaluate the use of both sCyC and sCr as CSA-AKI diagnostic criteria, we stratified patients into 3 groups: non-CSA-AKI, CSA-AKI detected by a single marker, and CSA-AKI detected by both markers. By multivariable logistic regression analysis, the independent predictors of MAEs at 3 years were group 2 (non-CSA-AKI group as the reference, CSA-AKI detected by a single marker: odds ratio [OR] = 3.48, 95% confidence interval [CI]: 1.27–9.58, p = 0.016), group 3 (CSA-AKI detected by both markers: OR = 5.12, 95% CI: 2.01–13.09; p = 0.001), and baseline glomerular filtration rate (OR = 2.24; 95% CI: 1.27–3.95; p = 0.005). Conclusion: Combining sCyC and sCr to diagnose CSA-AKI would be beneficial for risk stratification and prognosis in patients after cardiac surgery.


2019 ◽  
Vol 17 ◽  
pp. 205873921985683
Author(s):  
Meiling Guo ◽  
Yanjie Li ◽  
Haibo Li

To investigate the predictive effects of neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (KIM-1) on renal-replacement therapy for traumatic acute kidney injury (TAKI). The urinary NGAL and KIM-1 levels of TAKI patients underwent renal-replacement therapy were assessed. The correlation and predictive model were also analyzed. Short-term (28 days) survival rate of patients were 54.5%. As TAKI stage increased, urinary KIM-1 and NGAL level increased significantly ( P < 0.05). The urinary KIM-1 and NGAL level, negatively correlated with 28-day survial, were all higher in deceased patients than survival patients ( P < 0.05). The Youden index demonstrated the predictive value of urinary NGAL area under the curve (AUC; 0.830) and KIM-1 AUC (0.879) levels in the prognosis of patients in this study. NGAL and KIM-1 can predict the prognosis of patients with TAKI and have significant correlation with the prognosis of patients.


2019 ◽  
Vol 38 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Mina Radovic ◽  
Suzana Bojic ◽  
Jelena Kotur-Stevuljevic ◽  
Visnja Lezaic ◽  
Biljana Milicic ◽  
...  

Summary Background Cardiac surgery-associated acute kidney injury (CSA-AKI) frequently occurs in patients assessed as low-risk for developing CSA-AKI. Neutrophil Gelatinase-Associated Lipocalin (NGAL), Kidney Injury Molecule-1 (KIM-1) and lactate are promising biomarkers of CSA-AKI but have not yet been explored in low-risk patients. Aim To evaluate urinary NGAL (uNGAL), KIM-1 and lactate as biomarkers of CSA-AKI in patients with low-risk for developing CSA-AKI. Methods This prospective, observational study included 100 adult elective cardiac surgery patients assessed as low-risk for developing CSA-AKI. UNGAL, KIM-1 and lactate were measured preoperatively, at the end of cardiopulmonary bypass (CPB) and 3, 12, 24 and 48 h later. Results Fifteen patients developed CSA-AKI. Patients with CSA-AKI had significantly higher lactate but similar uNGAL and KIM-1 levels compared to patients without CSA-AKI. Unlike uNGAL and KIM-1, postoperative lactate was good biomarker of CSA-AKI with the highest odds ratio (OR) 2.7 [1.4–4.9] 24 h after CPB. Peak lactate concentration ≥ 4 mmol/L carried dramatically higher risk for developing CSA-AKI (OR 6.3 [1.9–20.5]). Conclusions Unlike uNGAL and KIM-1, postoperative lactate was significant independent predictor of CSA-AKI with the highest odds ratio 24 h after CPB.


2021 ◽  
Vol 20 (2) ◽  
pp. 45-55
Author(s):  
D.I. Krachak ◽  
◽  
◽  
I.P. Klimchuk ◽  
S.V. Mshar ◽  
...  

Objectives. To assess the diagnostic value of urinary lipocalin associated with neutrophil gelatinase (uNGAL) as a monomarker, as well as in combination with other indicators, in acute kidney injury (AKI) diagnosing in the early postoperative period in cardiac surgery patients. Material and methods. The analysis of 73 case histories of ICU patients after cardiac surgery in the conditions of cardiopulmonary bypass was performed. AKIN criteria were applied to diagnose AKI. The primary end point of the study was the postoperative level of uNGAL, the secondary end point was the indexed value of uNGAL. Results. 31 (42.4%) patients developed AKI (according to AKIN score). uNGAL had a very good level of diagnostic significance in detecting AKI (AUC 0.849, p=0.001) and its optimal cutoff level was more than 48.2 ng/ml within the time frame up to 12 hours after surgery. The diagnostic efficiency of the uNGAL test was: specificity - 88.1%, sensitivity - 67.74%, positive predictive value - 80.8%, negative predictive value - 78.7%, positive likelihood ratio - 5.57, negative likelihood ratio - 0.37. The ratio of uNGAL to leukocytes in the terms up to 12 hours after surgery demonstrated an excellent level of diagnostic value (AUC 0.920, p=0.001). The diagnostic efficiency of this indicator (more than 5.5 μg/1*10<sup>9</sup>) was: specificity - 94.74%, sensitivity - 73.68%, positive predictive value - 93.3%, negative predictive value - 78.3%, positive likelihood ratio - 14.0, negative likelihood ratio - 0.28. Conclusions. The diagnostic capabilities of uNGAL in detecting AKI in the early stages after cardiac surgery exceed the capabilities of serum creatinine traditionally used for this purpose. To improve the efficiency of AKI diagnosis in the early postoperative period, it is possible to use indexed indicators, for example, the ratio of uNGAL to leukocytes level in the patient’s blood.


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