Early prediction of acute kidney injury in neonates with cardiac surgery
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Abstract
Background Acute kidney injury (AKI) occurs in 42%–64% of the neonatal patients experiencing cardiac surgery, contributing to postoperative morbidity and mortality. Current diagnostic criteria, which are mainly based on serum creatinine and hourly urine output, are not sufficiently sensitive and precise to diagnose neonatal AKI promptly. The purpose of this review is to screen the recent literature, to summarize the novel and cost-effective biomarkers and approaches for neonatal AKI after cardiac surgery (CS-AKI), and to provide a possible research direction for future work.
Data sources We searched PubMed for articles published before November 2019 with pertinent terms. Sixty-seven articles were found and screened. After excluding 48 records, 19 articles were enrolled for final analysis.
Results Nineteen articles were enrolled, and 18 possible urinary biomarkers were identified and evaluated for their ability to diagnose CS-AKI. Urinary neutrophil gelatinase-associated lipocalin (uNGAL), serum cystatin C (sCys), urinary human kidney injury molecule-1 (uKIM-1), urinary liver fatty acid-binding protein (uL-FABP) and interleukin-18 (uIL-18) were the most frequently described as the early predictors of neonatal CS-AKI.
Conclusions Neonates are vulnerable to CS-AKI. UNGAL, sCys, uL-FABP, uKIM-1 and uIL-18 are potential biomarkers for early prediction of neonatal CS-AKI. Renal regional oxygen saturation by near-infrared spectroscopy is a non-invasive approach for early identification of neonatal AKI. Further work should focus on exploring a sensitive and specific combined diagnostic model that includes novel biomarkers and other complementary methods.
INTRODUCTION
Acute kidney injury (AKI), also known as acute kidney failure, covers a wide spectrum of clinical states, from subtle increase of serum creatinine (sCr) to serious injury that requires renal replacement.1 2 AKI is a common complication of patients after cardiac surgery both in adults and in children, and is recognized as one of the most important factors contributing to postoperative morbidity and mortality.3–5
The mechanism of acute kidney injury after cardiac surgery (CS-AKI) is not well understood and can involve multiple factors. Hemodynamic fluctuation, inflammatory/immune factors, coagulation and neurohumoral regulation disorder might play essential roles in the development of CS-AKI. Neonates are vulnerable to CS-AKI. Neonatal renal physiological features and several comorbidities and associated conditions have proved to be high-risk factors for neonatal CS-AKI (box 1). The reported incidence of AKI following pediatric cardiac surgery was 30%–50%, whereas in the neonatal population the incidence was 42%–64%, depending on the definition of AKI and the enrolled cardiac lesions (table 1). The occurrence of CS-AKI has been proven to be associated with short-term and long-term outcomes in neonates. Neonates with CS-AKI require longer duration in mechanical ventilation, intensive care unit stay and hospitalization. The mortality rate of neonates receiving dialysis after cardiac surgeries is 6.4 times higher than that of neonates without AKI. Furthermore, a 2-year follow-up study indicates that the infants surviving from Acute Kidney Injury Network stage 2 and 3 in their neonatal period have lower Z score for height.4 6 Establishing an ‘alarm system’ to identify patients at high risk for AKI might facilitate the initiation of prompt intervention and might improve the outcomes. The purpose of this review is to summarize the recent literature and to describe the novel and cost-effective biomarkers and tools for early diagnosis of neonatal CS-AKI.
Several definitions for AKI have been launched since 2004, including the Risk, Injury, Failure, Loss, and End-Stage Kidney Disease (RIFLE), Acute Kidney Injury Network (AKIN), and the Kidney Disease: Improving Global Outcomes (KDIGO) classifications.7–10 The disparities and similarities among these definitions are listed in table 2. In the case of patients with cardiac procedures, severe AKI stages are related to adverse outcome and higher mortality; however, the debate on the standard criteria for CS-AKI remains unsettled and depends on the patient population enrolled and the validated version of each criterion (such as adding a diagnostic period to AKIN and KDIGO systems).11 12 Generally, RIFLE is much more sensitive in identifying the risk-stage patients, and the AKIN and KDIGO may be more specific in diagnosing AKI, particularly in recognizing stage 3 patients. Nevertheless, all three classifications are based on the change of sCr directly and indirectly. The main challenges of diagnosing neonatal AKI are focused on the following items:
The promptness of sCr: sCr obviously will not change until 25%–50% of renal function is lost, and the effect of fluid dilution may conceal the real change in sCr. Therefore, the rise in sCr in neonatal patients always delays until 36–48 hours after surgery. Patients in an early phase of AKI might not be discerned and would miss timely intervention.
Some neonates present non-oliguric AKI, especially preterm neonates due to higher proportion of body water.13 Thus, urine output (UO) less than 0.5 mL/kg/hour is not sufficient, and some researchers refuse to take UO as a reliable indicator of CS-AKI.
The number of nephrons and the tubular maturity are closely related to gestational age.11 12 14 The renal blood flow improves gradually within the initial several weeks after birth. However, glomerular filtration rate (GFR) will not be steady until 2 years of age.15 Accordingly, gestational age, birth weight and postnatal age all have a potential impact on the susceptibility of neonates to AKI.
Table 2
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Definition and classification of neonatal acute kidney injury
Early prediction of CS-AKI in neonatal patients
Regarding the limitations of sCr and UO in early recognition of CS-AKI in neonatal patients, tremendous research has been performed to explore possible serum and urine biomarkers and other non-invasive methods for discriminating patients at high risk for AKI.
Serum and urine biomarkers predicting neonatal CS-AKI
We searched PubMed with terms ‘neonate, cardiac surgery, acute kidney injury’, ‘neonate, cardiac surgical procedure, acute kidney injury’ and ‘neonate, cardiopulmonary bypass, acute kidney injury’ separately. Clinical trial, clinical study, controlled clinical trial, multicenter study, observational study and randomized controlled trial published before November 2019 were considered. A total of 67 articles were screened. After excluding 48 of these records, 19 articles were analyzed. The methodology is explicated in figure 1.
It is notable that, in the case of neonates, the application of urinary biomarkers for early prediction or for adding diagnostic value to sCr is prevalent. Urine samples were applied in a total of 15 of the 19 studies we collected. The plausible explanations are that urine-oriented biomarkers can reflect both the structural damage and the functional injury of the kidney directly and that urinary samples can be obtained non-invasively from Foley catheter after cardiac surgery. The utilities of novel biomarkers in neonates are illustrated in table 3.
Table 3
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Literature review of novel biomarkers predicting CS-AKI in neonates
Proximal tubular cell biomarkers
Neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1) and liver fatty acid-binding protein (L-FABP) are secreted by the proximal tubular epithelial cells. Increases in concentration indicate tubular injury.
Elevating serum and urinary NGAL levels have been widely identified in patients with AKI with multiple etiologies. The relationship between NGAL and CS-AKI in neonates was also evaluated recently. In four studies including neonates, the rise in urinary NGAL (uNGAL) occurs as early as about 2 hours after surgery and shows good diagnostic ability for CS-AKI regardless of AKI definitions, even normalized by creatinine, and can be one of the independent risk factors for adverse clinical outcomes.16–22 Other studies also indicate that the value of uNGAL within 12 hours after surgery is a strong predictor of CS-AKI, and it is significantly associated with poor outcomes.21 23 24 A study including 30 neonatal patients concludes that, besides postoperative serum NGAL (sNGAL), preoperative sNGAL is also a potential indicator of CS-AKI.25 But the conclusions are not always on the same page. A study published in 2018 with 59 neonates and infants reveals that both uNGAL and sNGAL are not indicators of CS-AKI. But in the cases experiencing longer cardiopulmonary bypass (CPB) time (≥75 min), uNGAL increases significantly as early as 2 hours after surgery.26
KIM-1, a type 1 transmembrance protein, could not be detected in urine normally, but increases promptly after proximal tubular epithelial cells injury, boosting epithelial repair and phagocytosis. In a study with patients younger than 1 year old (including neonates), urinary KIM-1 at 6 hours after CPB has predictive power for AKI, with an AUC of 0.66.27 L-FABP, which is involved in fatty acid metabolism, expresses highly in ischemic insult and is a sensitive predictor of kidney diseases. Urinary L-FABP (uL-FABP) increases at 2, 6 and 24 hours after surgery and proves to be a strong indicator of CS-AKI in neonatal and infants, and the AUC for uL-FABP is 0.89, 0.75 and 0.87, respectively.23
Biomarkers of GFR
Cystatin C, a low-molecular-weight protein, is filtered freely by the glomerulus. Compared with creatinine, the serum cystatin C (sCys C) level would not be influenced by maternal level, gestational age, sex and muscle mass. Taking these theoretical properties into consideration, Cys C sounds an ideal marker of renal function in neonates in different clinical situations.28–30
In the studies of neonates undergoing cardiac surgery, significant upregulation of sCys C is found at 2 and 8 hours following CPB and has been proven to be an independent predictor of AKI.31 32 Likewise, elevating urinary cystatin C is also detected at a very early period after surgery (0, 2 hours) in patients with poor outcomes.24
Inflammatory biomarkers
Systemic inflammatory response is a major cause of CS-AKI. Research studies have indicated that the traditional inflammatory mediators, including interleukins (ILs), interferon-gamma, tumor necrosis factor-alpha, granulocyte colony-stimulating factor, granulocyte-macrophage colony-stimulating factor, C reactive protein and so on, do upregulate early after cardiac surgery. Theoretically, these phenomena are more likely to be a reaction to CPB than to the renal insult per se.33 34 IL-18, a proinflammatory cytokine, is activated and released into urine after ischemic insult of proximal tubules. However, the role of urinary IL-18 (uIL-18) in predicting AKI is still controversial. Zheng et al35 reveal that in patients developing AKI uIL-18 has the best predictive ability at 4 hours after surgery, with an AUC of 0.835. In contrast, Morgan et al33 do not find a significant difference in IL-18 between AKI and non-AKI patients.
Other biomarkers
In addition to the mainstream biomarkers mentioned, several other biomarkers are reported as potential predictors of CS-AKI. Tissue inhibitor metalloproteinase type 2 (TIMP-2) and insulin-like growth factor-binding protein type 7 (IGFBP-7) are two molecules provoking G1 cell cycle arrest, playing key roles in the development of and recovery from AKI.36 Meersch et al37 identified that urinary TIMP-2*IGFBP-7 concentration demonstrates a highly early predictive value for AKI (4 hours after surgery) in infants and children. Likewise, a recent study including infants and neonates reports that urinary TIMP-2*IGFBP-7 concentration at 12 hours after CPB strongly indicates the occurrence of AKI, with an AUC of 0.71.24
Electrolytic and metabolic disorders are also involved in the kidney insult after cardiac surgery, and persistent hyperphosphatemia may prognose severe renal impairments. Burra et al’s38 study found that serum phosphorus level increased significantly at 24 hours postoperatively in patients with AKI and could be another alternative predictor of CS-AKI. The rise in the preoperative and postoperative levels of fibroblast growth factor 23, a hormone which regulates renal phosphate reabsorption, has also been proven to be associated with severe AKI.39
Furthermore, thrombocytopenia has been identified as a risk factor for CS-AKI, and the degree of the nadir platelet count has a strong relationship with the severity of AKI.40 First postoperative urine albumin to creatinine ratio is also an available marker predicting stage 2 and 3 AKI in patients younger than 2 years old.41 Serum gelsolin is significantly decreased at 6 hours following CPB in patients with AKI and has been proven to be an excellent predictor of CS-AKI in neonates and young infants.42
In general, NGAL, cystatin C, L-FABP, KIM-1 and IL-18 were the most frequently detected for early prediction of CS-AKI. Table 4 illustrates the common time period for each biomarker, all of which occur much earlier than the rise in sCr. However, it is unavoidable that these findings have some limitations. First, the majority of studies were conducted in single-center manners with non-uniform AKI criteria and with limited sample sizes. Second, the findings in this review are obtained from studies including both neonatal and pediatric patients and lack systematic evaluation, particularly in the case of neonates. Third, although the novel biomarkers express rapidly after surgery, the discrepancies in sensitivity and specificity in different clinical settings are huge. Further work aiming to develop a joint application of traditional and novel biomarkers is needed in order to improve diagnostic accuracy.
Table 4
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Common time period of biomarkers predicting neonatal CS-AKI
Near-infrared spectroscopy (NIRS), a non-invasive, continuous and real-time monitor device, is used to detect regional oxygen saturation (rSO2), namely the oxygen content within the local tissue. This new technology is based on the different absorptions of near-infrared wavelengths by oxygenated and deoxygenated hemoglobin, known as the Beer-Lambert principle. The sensor could be placed on the forehead, the surface of the abdomen, or the left or right side of the spine at the T10–L2 level to detect the cerebral, abdominal and kidney rSO2, respectively. The neonatal cerebral rSO2 was recorded by Jobsis for the first time in 1977.43 In 1991, NIRS was used as a non-invasive tool for evaluating the effect of hypothermic CPB and total circulatory arrest on pediatric cerebral metabolism.44 Since then, tremendous research has been implemented to assess the influence of ischemic insult on the neurological, renal and other organic functions by NIRS in neonates.
A study including 40 neonates and young infants indicates that patients with renal rSO2 <50% more than 2 hours within the first 24 hours after surgery are more susceptible to AKI. In addition, patients with permanently low renal rSO2 need longer mechanical ventilation and inotropic support.24 45 Ruf et al46 continuously monitored the renal rSO2 intraoperatively and 24–48 hours postoperatively and found that intraoperative persistently low renal oximetry (<65%) or significant decrease of oximetry (>25%) was related to the occurrence of AKI and poor outcomes and that the diagnostic value of NIRS might surpass NGAL and cystatin C. These findings indicate that NIRS can be another promising non-invasive bedside monitor for the development of CS-AKI in neonates. Despite the inspiring results, NIRS still has several imperative shortcomings. First, the normal and pathological baseline for renal rSO2 is still lacking, and the variance between individuals is significant. Second, the value of renal rSO2 is easily influenced by the position, exogenous light, and cyanotic and non-cyanotic congenital heart diseases. Therefore, exploring a sensitive and specific combined diagnostic model consisting of NIRS and other chemical markers is inevitable in future work.
CONCLUSION
Neonatal patients are vulnerable to CS-AKI. Identifying the patients at high risk for CS-AKI facilitates timely intervention and improves outcome. UNGAL, serum cystatin C, uL-FABP, uKIM-1 and uIL-18 are the potential biomarkers for early prediction of CS-AKI in neonates. Continuous monitoring of renal rSO2 by NIRS could be a cost-effective complement in the early diagnosis of neonatal AKI. Further work should focus on exploring a sensitive and specific combined diagnostic model that includes novel biomarkers and non-invasive tools.
Contributors: SSS collected the data and drafted the manuscript. FJJ analyzed the data and assisted in revising the manuscript. SQ designed the study and supervised the drafting of the manuscript. All authors had read and approved the final manuscript.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Patient consent for publication: Not required.
Ethics approval: Not required for this review paper.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement: Data sharing not applicable as no data sets generated and/or analyzed for this study. No data, models or codes were generated in this review paper.
Acknowledgements
We sincerely appreciate the Key Laboratory for Diagnosis and Therapy of Neonatal Diseases, the Children’s Hospital of Zhejiang University School of Medicine for serving as the scientific advisers.
Uchino S, Kellum JA, Bellomo R, et al. Acute renal failure in critically ill patients: a multinational, multicenter study. JAMA2005; 294:814–8. Google Scholar
Li S, Krawczeski CD, Zappitelli M, et al. Incidence, risk factors, and outcomes of acute kidney injury after pediatric cardiac surgery: a prospective multicenter study*. Crit Care Med2011; 39:1493–9. doi:10.1097/CCM.0b013e31821201d3•Google Scholar
Morgan CJ, Zappitelli M, Robertson CMT, et al. Risk factors for and outcomes of acute kidney injury in neonates undergoing complex cardiac surgery. J Pediatr2013; 162:120–7. doi:10.1016/j.jpeds.2012.06.054•Google Scholar
Blinder JJ, Goldstein SL, Lee VV, et al. Congenital heart surgery in infants: effects of acute kidney injury on outcomes. J Thorac Cardiovasc Surg2012; 143:368–74. doi:10.1016/j.jtcvs.2011.06.021•Google Scholar
Piggott KD, Soni M, Decampli WM, et al. Acute kidney injury and fluid overload in neonates following surgery for congenital heart disease. World J Pediatr Congenit Heart Surg2015; 6:401–6. doi:10.1177/2150135115586814•Google Scholar
Bellomo R, Ronco C, Kellum JA, et al. Acute Dialysis Quality Initiative workgroup. Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care2004; 8:R204–12. doi:10.1186/cc2872•Google Scholar
Jetton JG, Guillet R, Askenazi DJ, et al. Assessment of worldwide acute kidney injury epidemiology in neonates: design of a retrospective cohort study. Front Pediatr2016; 19:68. Google Scholar
Mehta RL, Kellum JA, Shah SV, et al. Acute kidney injury network: report of an initiative to improve outcomes in acute kidney injury. Crit Care2007; 11:R31. doi:10.1186/cc5713•Google Scholar
Lex DJ, Tóth R, Cserép Z, et al. A comparison of the systems for the identification of postoperative acute kidney injury in pediatric cardiac patients. Ann Thorac Surg2014; 97:202–10. doi:10.1016/j.athoracsur.2013.09.014•Google Scholar
Sutherland L, Hittesdorf E, Yoh N, et al. Acute kidney injury after cardiac surgery: a comparison of different definitions. Nephrology2020; 25:212–8. doi:10.1111/nep.13669•Google Scholar
Hinchliffe SA, Sargent PH, Howard CV, et al. Human intrauterine renal growth expressed in absolute number of glomeruli assessed by the disector method and Cavalieri principle. Lab Invest1991; 64:777–84. Google Scholar
Abitbol CL, Seeherunvong W, Galarza MG, et al. Neonatal kidney size and function in preterm infants: what is a true estimate of glomerular filtration rate? J Pediatr2014; 164:1026–31. doi:10.1016/j.jpeds.2014.01.044•Google Scholar
Krawczeski CD, Woo JG, Wang Y, et al. Neutrophil gelatinase-associated lipocalin concentrations predict development of acute kidney injury in neonates and children after cardiopulmonary bypass. J Pediatr2011; 158:1009–15. doi:10.1016/j.jpeds.2010.12.057•Google Scholar
Cantinotti M, Storti S, Lorenzoni V, et al. The combined use of neutrophil gelatinase-associated lipocalin and brain natriuretic peptide improves risk stratification in pediatric cardiac surgery. Clin Chem Lab Med2012; 50:2009–17. doi:10.1515/cclm-2012-0125•Google Scholar
Ricci Z, Netto R, Garisto C, et al. Whole blood assessment of neutrophil gelatinase–associated lipocalin versus pediatricRIFLE for acute kidney injury diagnosis and prognosis after pediatric cardiac surgery. Pediatr Crit Care Med2012; 13:667–70. doi:10.1097/PCC.0b013e3182601167•Google Scholar
Mamikonian LS, Mamo LB, Smith PB, et al. Cardiopulmonary bypass is associated with hemolysis and acute kidney injury in neonates, infants, and Children*. Pediatr Crit Care Med2014; 15:e111–9. doi:10.1097/PCC.0000000000000047•Google Scholar
Alcaraz AJ, Gil-Ruiz MA, Castillo A, et al. Postoperative neutrophil Gelatinase–Associated lipocalin predicts acute kidney injury after pediatric cardiac Surgery*. Pediatr Crit Care Med2014; 15:121–30. doi:10.1097/PCC.0000000000000034•Google Scholar
Bojan M, Basto Duarte MC, Ermak N, et al. Structural equation modelling exploration of the key pathophysiological processes involved in cardiac surgery-related acute kidney injury in infants. Crit Care2016; 20:171. doi:10.1186/s13054-016-1350-1•Google Scholar
Herbert C, Patel M, Nugent A, et al. Serum cystatin C as an early marker of neutrophil gelatinase-associated Lipocalin-positive acute kidney injury resulting from cardiopulmonary bypass in infants with congenital heart disease. Congenit Heart Dis2015; 10:E180–8. doi:10.1111/chd.12253•Google Scholar
Hazle MA, Gajarski RJ, Aiyagari R, et al. Urinary biomarkers and renal near-infrared spectroscopy predict intensive care unit outcomes after cardiac surgery in infants younger than 6 months of age. J Thorac Cardiovasc Surg2013; 146:861–7. doi:10.1016/j.jtcvs.2012.12.012•Google Scholar
Schroeder LW, Buckley JR, Stroud RE, et al. Plasma neutrophil gelatinase-associated lipocalin is associated with acute kidney injury and clinical outcomes in neonates undergoing cardiopulmonary bypass. Pediatric Critical Care Medicine2019; 20:957–62. doi:10.1097/PCC.0000000000002035•Google Scholar
Reiter K, Balling G, Bonelli V, et al. Neutrophil gelatinase-associated lipocalin reflects inflammation and is not a reliable renal biomarker in neonates and infants after cardiopulmonary bypass: a prospective case–control study. Cardiol Young2018; 28:243–51. doi:10.1017/S1047951117001767•Google Scholar
Gist KM, Cooper DS, Wrona J, et al. Acute kidney injury biomarkers predict an increase in serum milrinone concentration earlier than serum Creatinine–Defined acute kidney injury in infants after cardiac surgery. Ther Drug Monit2018; 40:186–94. doi:10.1097/FTD.0000000000000496•Google Scholar
Elmas AT, Tabel Y, Elmas ON, et al. Serum cystatin C predicts acute kidney injury in preterm neonates with respiratory distress syndrome. Pediatr Nephrol2013; 28:477–84. doi:10.1007/s00467-012-2331-5•Google Scholar•PubMed
Li Y, Li X, Zhou X, et al. Impact of sepsis on the urinary level of interleukin-18 and cystatin C in critically ill neonates. Pediatr Nephrol2013; 28:135–44. doi:10.1007/s00467-012-2285-7•Google Scholar
Yang Y, Wu Y, Pan JJ, et al. Change of cystatin C values in preterm infants with asphyxia-From two centers of China. J Clin Lab Anal2017; 31. doi:10.1002/jcla.22070•Google Scholar•PubMed
Hassinger AB, Backer CL, Lane JC, et al. Predictive power of serum cystatin C to detect acute kidney injury and pediatric-modified rifle class in children undergoing cardiac surgery. Pediatr Crit Care Med2012; 13:435–40. doi:10.1097/PCC.0b013e318238b43c•Google Scholar•PubMed
Seitz S, Rauh M, Gloeckler M, et al. Cystatin C and neutrophil gelatinase-associated lipocalin: biomarkers for acute kidney injury after congenital heart surgery. Swiss Med Wkly2013; 143:w13744. Google Scholar
Morgan CJ, Gill PJ, Lam S, et al. Peri-Operative interventions, but not inflammatory mediators, increase risk of acute kidney injury after cardiac surgery: a prospective cohort study. Intensive Care Med2013; 39:934–41. doi:10.1007/s00134-013-2849-4•Google Scholar
Liu KD, Altmann C, Smits G, et al. Serum interleukin-6 and interleukin-8 are early biomarkers of acute kidney injury and predict prolonged mechanical ventilation in children undergoing cardiac surgery: a case-control study. Crit Care2009; 13:R104. doi:10.1186/cc7940•Google Scholar
Zheng J, Xiao Y, Yao Y, et al. Comparison of urinary biomarkers for early detection of acute kidney injury after cardiopulmonary bypass surgery in infants and young children. Pediatr Cardiol2013; 34:880–6. doi:10.1007/s00246-012-0563-6•Google Scholar
Kashani K, Al-Khafaji A, Ardiles T, et al. Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury. Crit Care2013; 17:R25. doi:10.1186/cc12503•Google Scholar
Meersch M, Schmidt C, Van Aken H, et al. Validation of cell-cycle arrest biomarkers for acute kidney injury after pediatric cardiac surgery. PLoS One2014; 9. doi:10.1371/journal.pone.0110865•Google Scholar
Burra V, Nagaraja PS, Singh NG, et al. Early prediction of acute kidney injury using serum phosphorus as a biomarker in pediatric cardiac surgical patients. Ann Card Anaesth2018; 21:455–9. Google Scholar
Volovelsky O, Terrell TC, Swain H, et al. Pre-Operative level of FGF23 predicts severe acute kidney injury after heart surgery in children. Pediatr Nephrol2018; 33:2363–70. doi:10.1007/s00467-018-4024-1•Google Scholar
Tew S, Fontes ML, Greene NH, et al. Natural history of nonimmune‐mediated thrombocytopenia and acute kidney injury in pediatric open‐heart surgery. Paediatr Anaesth2017; 27:305–13. doi:10.1111/pan.13063•Google Scholar
Zappitelli M, Coca SG, Garg AX, et al. The association of albumin/creatinine ratio with postoperative AKI in children undergoing cardiac surgery. CJASN2012; 7:1761–9. doi:10.2215/CJN.12751211•Google Scholar
Shi SS, Yue XJ, Zhao DY, et al. Plasma gelsolin level predicts acute kidney injury after cardiopulmonary bypass in infants and young children. World J Pediatr2018; 14:143–50. doi:10.1007/s12519-017-0116-4•Google Scholar
Jobsis F. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science1977; 198:1264–7. doi:10.1126/science.929199•Google Scholar
Greeley WJ, Bracey VA, Ungerleider RM, et al. Recovery of cerebral metabolism and mitochondrial oxidation state is delayed after hypothermic circulatory arrest. Circulation1991; 84:III400–6. Google Scholar
Owens GE, King K, Gurney JG, et al. Low renal oximetry correlates with acute kidney injury after infant cardiac surgery. Pediatr Cardiol2011; 32:183–8. doi:10.1007/s00246-010-9839-x•Google Scholar
Ruf B, Bonelli V, Balling G, et al. Intraoperative renal near-infrared spectroscopy indicates developing acute kidney injury in infants undergoing cardiac surgery with cardiopulmonary bypass: a case–control study. Crit Care2015; 19:27. doi:10.1186/s13054-015-0760-9•Google Scholar
DeSena HC, Nelson DP, Cooper DS, et al. Cardiac intensive care for the neonate and child after cardiac surgery. Curr Opin Cardiol2015; 30:81–8. doi:10.1097/HCO.0000000000000127•Google Scholar
Salmasi V, Maheshwari K, Yang D, et al. Relationship between intraoperative hypotension, defined by either reduction from baseline or absolute thresholds, and acute kidney and myocardial injury after noncardiac surgery. Anesthesiology2017; 126:47–65. doi:10.1097/ALN.0000000000001432•Google Scholar
Gaies MG, Gurney JG, Yen AH, et al. Vasoactive–inotropic score as a predictor of morbidity and mortality in infants after cardiopulmonary bypass*. Pediatr Crit Care Med2010; 11:234–8. doi:10.1097/PCC.0b013e3181b806fc•Google Scholar
Park SK, Hur M, Kim E, et al. Risk factors for acute kidney injury after congenital cardiac surgery in infants and children: a retrospective observational study. PLoS One2016; 11. doi:10.1371/journal.pone.0166328•Google Scholar
Billings FT, Ball SK, Roberts LJ, et al. Postoperative acute kidney injury is associated with hemoglobinemia and an enhanced oxidative stress response. Free Radic Biol Med2011; 50:1480–7. doi:10.1016/j.freeradbiomed.2011.02.011•Google Scholar
Billings FT, Yu C, Byrne JG, et al. Heme oxygenase-1 and acute kidney injury following cardiac surgery. Cardiorenal Med2014; 4:12–21. doi:10.1159/000357871•Google Scholar
Meersch M, Zarbock A. Prevention of cardiac surgery-associated acute kidney injury. Curr Opin Anaesthesiol2017; 30:76–83. Google Scholar
Jönsson S, Agic MB, Narfström F, et al. Renal neurohormonal regulation in heart failure decompensation. Am J Physiol Regul Integr Comp Physiol2014; 307:R493–7. doi:10.1152/ajpregu.00178.2014•Google Scholar
Arcinue R, Kantak A, Elkhwad M, et al. Acute kidney injury in ELBW infants. J Neonatal Perinatal Med2015; 8:349–57. Google Scholar
Jang WS, Kim WH, Choi K, et al. Incidence, risk factors and clinical outcomes for acute kidney injury after aortic arch repair in paediatric patients. Eur J Cardiothorac Surg2014; 45:e208–14. doi:10.1093/ejcts/ezu132•Google Scholar
Basu RK, Chawla LS, Wheeler DS, et al. Renal angina: an emerging paradigm to identify children at risk for acute kidney injury. Pediatr Nephrol2012; 27:1067–78. doi:10.1007/s00467-011-2024-5•Google Scholar
Miklaszewska M, Korohoda P, Sobczak A, et al. Acute kidney injury in a single pediatric intensive care unit in Poland: a retrospective study. Kidney Blood Press Res2014; 39:28–39. doi:10.1159/000355774•Google Scholar
AlAbbas A, Campbell A, Skippen P, et al. Epidemiology of cardiac surgery-associated acute kidney injury in neonates: a retrospective study. Pediatr Nephrol2013; 28:1127–34. doi:10.1007/s00467-013-2454-3•Google Scholar
Carlo WF, Clark ST, Borasino S, et al. Impact of contrast exposure from computed tomography angiography on acute kidney injury after neonatal cardiopulmonary bypass surgery. Congenit Heart Dis2017; 12:540–5. doi:10.1111/chd.12482•Google Scholar
SooHoo M, Griffin B, Jovanovich A, et al. Acute kidney injury is associated with subsequent infection in neonates after the Norwood procedure: a retrospective chart review. Pediatr Nephrol2018; 33:1235–42. doi:10.1007/s00467-018-3907-5•Google Scholar
