Özet

Background: This study aims to investigate whether serum interleukin (IL)-18 is an early biomarker of acute kidney injury (AKI).

Methods: Thirty consecutive patients (22 males, 8 females; mean age 62.4±9.0 years; range 49 to 78 years) who underwent openheart surgery were enrolled in this prospective study. Serum IL-18 concentrations were analyzed prior to induction of anesthesia, at weaning from cardiopulmonary bypass (CPB) and two hours after weaning from CPB. Serum creatinine levels were analyzed in the postoperative first, second, and third days. Acute kidney injury was defined as creatinine levels exceeding 50% of the basal value or exceeding the basal value by 0.3 mg/dl at 48 hours postoperatively. The patients were classified into two groups including AKI (n=12) and non-AKI (n=18). Serum IL-18 levels were compared between the groups.

Results: Twelve patients (40%) developed AKI. The diagnosis was able to be made using the serum creatinine levels at 24 to 48 hours postoperatively. Although IL-18 concentrations at weaning from CPB decreased slightly in the AKI group, the decrease in the non- AKI presenting group was higher. Using univariate analyses, IL-18 concentrations at two hours after weaning from CPB were found to be related to AKI (p=0.031). The difference in serum IL-18 concentrations between the preoperative period and two hours after weaning from CPB were found to be statistically significant (p=0.017). According to the Receiver operating characteristic curve analysis, the threshold value for AKI prediction of serum IL-18 concentrations at two hours after weaning from CPB was 353.7 pg/ml with a sensitivity of 58.3% and a specificity of 83.3% (AUC=0.736).

Conclusion: Serum IL-18 concentration may be used as a biochemical indicator for early detection of acute kidney injury following open heart surgery.

Acute kidney injury (AKI) is a common complication of cardiopulmonary bypass (CPB)[1] that occurs in up to 10-40% of adults and is a predictor of poor outcomes.[2] Diminished renal blood flow, loss of pulsatile flow, and hypothermia are among the mechanisms that contribute to renal injury after cardiac surgery.[1] In the present day, AKI is typically diagnosed by detecting increases in serum creatinine,[3] but this is an imperfect marker in an acute setting because serum creatinine concentrations may not increase until approximately 50% of kidney function has been lost, and they may be affected by several non-renal factors.[4] For these reasons, early diagnosis of AKI may be difficult. In addition, serum creatinine concentrations do not reflect the severity of AKI;[4] hence, there is a need for early and specific markers of kidney injury in order to provide more effective treatment strategies.

Interleukin-18 (IL-18) is a member of the IL-1 family of cytokines which are produced by renal tubular cells and macrophages. It was originally described as an interferon gamma-inducing factor,[5] it has now been proven that IL-18 plays an important role in renal injury induced by acute ischemia-reperfusion.[6] Moreover, it is also a potential mediator of tubular injury.[7] There are published results that indicate that urinary IL-18 is an early biomarker for the diagnosis of AKI.[8,9] In this study, our objective was to demonstrate that this is true when this type of injury takes place after CPB.

Yöntem

This prospective study consisted of 30 patients (22 males, 8 females; mean age 62.4±9.0 years; range 49 to 78 years) who consecutively underwent open heart surgery using CPB. We excluded patients with pre-existing renal insufficiency and those who had undergone renal transplantation as well as those who had used nephrotoxic drugs before the operation. Acute kidney injury is defined as an increase in serum creatinine from the preoperative values by either more than 50% or more than 0.3 mg/dl within the first 48 hours after surgery (AKI classification stage 1).[10] Thereafter, study patients were classified into two groups as patients who developed AKI (n=12; 8 males, 4 females; mean age 66.3±8.5 years; range 52 to 78 years) and the others (n=18; 14 males, 4 females; mean age 59.7±8.6 years; range 49 to 77 years) according to postoperative serum creatinine levels.

The local institutional review board approved this study, and written informed consent was obtained from the patients. This study was also in compliance with the Declaration of Helsinki, and the clinical practice was not changed or modified for the purpose of the study.

We analyzed the serum IL-18 concentrations prior to the induction of anesthesia, immediately after CPB, and two hours after CPB, and the serum creatinine levels were analyzed the day before operation and at postoperative days one, two, and three. In addition, blood samples were collected in non-heparinized tubes, and the serum IL-18 was measured by a human IL-18 enzyme-linked immunosorbent assay (ELISA) kit (Medical and Biologic Laboratories Co., Ltd, Nagoya, Japan) according to manufacturer’s instructions.

Statistical analysis
All statistical analyses were performed using the SPSS version 15.0 for Windows statistical software program (SPSS Inc., Chicago, IL, USA). Normally distributed continuous variables were expressed as mean ± standard deviation (SD) or median values with the interquartile range if not normally distributed while categorical variables were expressed as numbers and percentages. The demographic characteristics, perioperative variables, and calculated values were compared using an independent samples t-test or the Mann-Whitney U test for continuous variables and a chi-square test or Fisher’s exact test for categorical variables. The serum IL-18 levels over time were compared using the Wilcoxon signed-ranks test. A receiver operating characteristic (ROC) curve analysis was used to determine the optimum cut-off levels of the serum IL-18 to predict AKI, and a general linear model was used to determine the course of serum IL-18 levels over time in the AKI and the control groups. A p value of <0.05 was considered to be statistically significant.

Bulgular

The baseline characteristics of the patients are listed in Table 1. It was only possible to make a diagnosis of AKI using the serum creatinine levels 24-48 hours postoperatively, and we identified 12 patients (40%) who had developed AKI, all of whom were at stage 1 according to the AKI classification system.[10] None of the patients required renal replacement therapy, and all of the preoperative factors were similar between the two groups based on the presence of AKI except for age, ejection fraction (EF), and the presence of chronic obstructive pulmonary disease (COPD). The mean age of the patients was significantly higher in the AKI group than the control group (66.3±8.5 vs. 59.7±8.6 years, respectively) (p=0.025), whereas the mean preoperative EF of the AKI patients was significantly lower (47.2±7.8% vs. 53.8±7.6%, p=0.025).

Table 1: Preoperative patient characteristics

The perioperative factors and serum IL-18 levels over time are summarized in Table 2, and we found no statistical significance between the groups regarding the operative and early postoperative variables. Although the IL-18 concentrations measured when the patients were being weaned from CPB revealed a slight decrease in the AKI group, there was a larger decrease in the control group (Figure 1). In addition, when the IL-18 concentrations were measured two hours after being weaned from CPB, they were significantly higher in the AKI group compared with the control group (417.3±174.3 pg/ml vs. 318.6±63.5 pg/ml, respectively) (p=0.031). Furthermore, the increase in the serum IL-18 concentrations between the preoperative period and two hours after weaning from CPB were statistically significant in the AKI group (p=0.017) (Figure 1).

Table 2: Operative and early-postoperative variables

Figure 1: Serum IL-18 values over time in each group. AKI: Acute kidney injury; CPB: Cardiopulmonary bypass.

According to the ROC curve analysis, we also determined that the threshold value for predicting AKI using serum IL-18 concentrations two hours after weaning from CPB was 353.7 pg/ml, with a sensitivity of 58.3% and a specificity of 83.3% [area under the curve (AUC)=0.736].

Tartışma

Acute kidney injury after cardiac surgery affects a considerable portion of adult patients.[1,10] Regrettably, serum creatinine is not a reliable marker for AKI, but an increase in creatinine may be measured after a considerable loss of glomerular filtration rate (GFR).[3] In a recent study, Stafford-Smith et al.[11] determined that the serum creatinine measurements on arrival at the intensive care unit (ICU) after cardiac surgery were not a useful predictor of AKI.

Identifying an early predictive marker for AKI could result in earlier treatment strategies to limit associated morbidity, and patients identified by these biomarkers may receive more prolonged invasive hemodynamic monitoring. Moreover, avoidance of nephrotoxic medications, hypotension, and hypovolemia may be enforced in these patients, and earlier intervention with renal replacement therapy should be considered in order to prevent further damage for patients for whom fluid overload is developing but no increase in serum creatinine levels is present.

Acute kidney injury is classified into three stages according to serum creatinine levels as follows:[10]

Stage 1: An increase in serum creatinine that is more than or equal to 0.3 mg/dl (≥26.4 μmol/l) or an increase which is more than or equal to 150-200% (1.5-two-fold) from the baseline

Stage 2: An increase in serum creatinine of more than 200-300% from the baseline

Stage 3: An increase in serum creatinine of more than 300% from the baseline (or serum creatinine more than or equal to 4.0 mg/dl [≥354 μmol/l] with an acute increase of at least 0.5 mg/dl [44 μmol/l])

All of the patients with AKI in this study were at stage 1, so none required renal replacement therapy.

Interleukin-18 is a novel biomarker that has been studied in detail in ischemia reperfusion models, and it has been demonstrated that it mediates ischemic acute renal failure in mice.[6,7] In arecent study by Parikh et al.,[8] urinary IL-18 levels displayed sensitivity and specificity of above 90% in patients who were diagnosed with AKI. Additionally, our findings showed that the specificity of serum IL-18 was over 80% for indicating AKI following cardiac surgery, and Lin et al.[12] discovered that the serum IL-18 levels had significantly better discriminatory power than any other method at the initiation of renal replacement therapy for hospital mortality prediction. Furthermore, Blankenberg et al.[13] determined that serum IL-18 concentration was an independent predictor of coronary events in their recent study. They also noted that interleukin-18 is an important regulator of both native and acquired immune responses and that it is present in human atherosclerotic lesions as well as at higher concentrations in unstable plaques. High serum IL-18 concentrations have been detected in many other inflammatory diseases, including diabetes mellitus (DM), metabolic syndrome,[14] and other renal tubulointerstitial diseases like immunoglobulin (Ig)A nephropathy[15] and contrast-induced nephropathy.[16]

In this study, we hypothesized that serum IL-18, when measured two hours after being weaned from CPB, could serve as an effective marker of renal injury after heart surgery. The serum IL-18 concentrations were decreased in the AKI and control groups immediately after being weaned from CPB, which may have been the result of the destruction of macrophages by the CPB. However, two hours later, the serum IL-18 levels were increased in both groups. This may be explained by the systemic inflammation caused by CPB.[1] In addition, the increase in the serum IL-18 levels were statistically significant in the AKI group, which was likely due to ischemia, hypotension, hypoperfusion, the release of cytokines, and the presence of atheroemboli, all of which have been previously identified as causing AKI development after CPB. Furthermore, Parikh et al.[17] stated that urinary IL-18 levels increase between four and six hours after CPB (peaking at 12 hours) can predict AKI, and Liangos et al.[18] suggested that urinary IL-18 levels at two hours post-CPB can also diagnose AKI. Both of those studies were performed by measuring urinary IL-18 levels, but we measured the serum IL-18 levels instead and had similar, consistent results.

Nowadays, multiple other novel biomarkers for AKI have been proposed,[19,20] including circulating cystatin C (CyC), neutrophil gelatinase-associated lipocalin (NGAL), and retinol-binding proteins (RBPs). Of these markers, some have been evaluated in patients who underwent CPB, and the results suggest that NGAL and CyC demonstrate excellent accuracy in the early diagnosis of AKI.[21,22] There are also studies showing that a combination of NGAL and IL-18 can prognosticate AKI better than one biomarker alone.[23,24] However, some controversy still exists regarding these biomarkers. For example, Demirtaş et al.[25] stated that NGAL was not a relevant predictive factor for AKI in patients who underwent CABG, and Haase et al.[26] suggested that urinary IL-18 does not predict AKI after cardiac surgery.

Our study had several strengths. It was a prospective study with exclusion criteria that did not include confounding factors; therefore, cardiac surgery with CPB could be regarded as the only factor responsible for AKI. On the other hand, our study had some limitations as well. Our results were obtained from a relatively small number of patients from a single center. In addition, CPB itself can be a source of inflammation in the body. Furthermore, IL-18 is an inflammatory factor that should not be affected by CPB. We tried to overcome this limitation by including only patients who had undergone cardiac surgery with CPB in the study. We also made the measurements for longer intervals in order to detect the peak concentration value of serum IL-18 after CPB. The preoperative factors, such as EF, age, and the presence of COPD, occurred at different rates among the two groups, and since we know that these may influence the development of renal failure, we were not able to perform a further analysis regarding the predictive value of these variables on AKI development because the population of study was not adequate for logistic regression models.

Sonuçlar

Similar to urinary IL-18, our results indicated that serum IL-18 may also be an early predictive biomarker of AKI after CPB. Of course, the results of this study need to be confirmed in other settings where AKI is present, especially in patients with comorbid conditions where the etiology is multifactorial. Future studies are need in order to validate the sensitivity and specificity of serum IL-18 in clinical samples from larger cohorts and multiple clinical situations.

Declaration of conflicting interests
The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.

Funding
The authors received no financial support for the research and/or authorship of this article.

Kaynaklar

1) Rosner MH, Okusa MD. Acute kidney injury associated with cardiac surgery. Clin J Am Soc Nephrol 2006;1:19-32.

2) Lassnigg A, Schmidlin D, Mouhieddine M, Bachmann LM, Druml W, Bauer P, et al. Minimal changes of serum creatinine predict prognosis in patients after cardiothoracic surgery: a prospective cohort study. J Am Soc Nephrol 2004;15:1597-605.

3) Schrier RW, Wang W, Poole B, Mitra A. Acute renal failure: definitions, diagnosis, pathogenesis, and therapy. J Clin Invest 2004;114:5-14.

4) Molitoris BA. Transitioning to therapy in ischemic acute renal failure. J Am Soc Nephrol 2003;14:265-7.

5) Okamura H, Tsutsi H, Komatsu T, Yutsudo M, Hakura A, Tanimoto T, et al. Cloning of a new cytokine that induces IFN-gamma production by T cells. Nature 1995;378:88-91.

6) Melnikov VY, Ecder T, Fantuzzi G, Siegmund B, Lucia MS, Dinarello CA, et al. Impaired IL-18 processing protects caspase-1-deficient mice from ischemic acute renal failure. J Clin Invest 2001;107:1145-52.

7) Melnikov VY, Faubel S, Siegmund B, Lucia MS, Ljubanovic D, Edelstein CL. Neutrophil-independent mechanisms of caspase-1- and IL-18-mediated ischemic acute tubular necrosis in mice. J Clin Invest 2002;110:1083-91.

8) Parikh CR, Jani A, Melnikov VY, Faubel S, Edelstein CL. Urinary interleukin-18 is a marker of human acute tubular necrosis. Am J Kidney Dis 2004;43:405-14.

9) Parikh CR, Abraham E, Ancukiewicz M, Edelstein CL. Urine IL-18 is an early diagnostic marker for acute kidney injury and predicts mortality in the intensive care unit. J Am Soc Nephrol 2005;16:3046-52.

10) Mehta RL, Kellum JA, Shah SV, Molitoris BA, Ronco C, Warnock DG, et al. Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care 2007;11:R31.

11) Stafford-Smith M, Shaw A, Swaminathan M. Cardiac surgery and acute kidney injury: emerging concepts. Curr Opin Crit Care 2009;15:498-502.

12) Lin CY, Chang CH, Fan PC, Tian YC, Chang MY, Jenq CC, et al. Serum interleukin-18 at commencement of renal replacement therapy predicts short-term prognosis in critically ill patients with acute kidney injury. PLoS One 2013;8:e66028.

13) Blankenberg S, Luc G, Ducimetière P, Arveiler D, Ferrières J, Amouyel P, et al. Interleukin-18 and the risk of coronary heart disease in European men: the Prospective Epidemiological Study of Myocardial Infarction (PRIME). Circulation 2003;108:2453-9.

14) Nakamura A, Shikata K, Hiramatsu M, Nakatou T, Kitamura T, Wada J, et al. Serum interleukin-18 levels are associated with nephropathy and atherosclerosis in Japanese patients with type 2 diabetes. Diabetes Care 2005;28:2890-5.

15) Shi B, Ni Z, Cao L, Zhou M, Mou S, Wang Q, et al. Serum IL-18 is closely associated with renal tubulointerstitial injury and predicts renal prognosis in IgA nephropathy. Mediators Inflamm 2012;2012:728417.

16) Bulent Gul CB, Gullulu M, Oral B, Aydinlar A, Oz O, Budak F, et al. Urinary IL-18: a marker of contrast-induced nephropathy following percutaneous coronary intervention? Clin Biochem 2008;41:544-7.

17) Parikh CR, Mishra J, Thiessen-Philbrook H, Dursun B, Ma Q, Kelly C, et al. Urinary IL-18 is an early predictive biomarker of acute kidney injury after cardiac surgery. Kidney Int 2006;70:199-203.

18) Liangos O, Tighiouart H, Perianayagam MC, Kolyada A, Han WK, Wald R, et al. Comparative analysis of urinary biomarkers for early detection of acute kidney injury following cardiopulmonary bypass. Biomarkers 2009;14:423-31.

19) Vanmassenhove J, Vanholder R, Nagler E, Van Biesen W. Urinary and serum biomarkers for the diagnosis of acute kidney injury: an in-depth review of the literature. Nephrol Dial Transplant 2013;28:254-73.

20) Parikh CR, Coca SG, Thiessen-Philbrook H, Shlipak MG, Koyner JL, Wang Z, et al. Postoperative biomarkers predict acute kidney injury and poor outcomes after adult cardiac surgery. J Am Soc Nephrol 2011;22:1748-57.

21) Zheng J, Xiao Y, Yao Y, Xu G, Li C, Zhang Q, et al. Comparison of urinary biomarkers for early detection of acute kidney injury after cardiopulmonary bypass surgery in infants and young children. Pediatr Cardiol 2013;34:880-6.

22) Hokenek F, Gursoy M, Bakuy V, Kavala AA, Demir T, Gülcan F, et al. An evaluation of renal functions in pulsatile and non-pulsatile cardiopulmonary bypass in the elderly. Turk Gogus Kalp Dama 2013;21:610-5.

23) Xin C, Yulong X, Yu C, Changchun C, Feng Z, Xinwei M. Urine neutrophil gelatinase-associated lipocalin and interleukin-18 predict acute kidney injury after cardiac surgery. Ren Fail 2008;30:904-13.

24) Haase M, Bellomo R, Devarajan P, Ma Q, Bennett MR, Möckel M, et al. Novel biomarkers early predict the severity of acute kidney injury after cardiac surgery in adults. Ann Thorac Surg 2009;88:124-30.

25) Demirtas S, Caliskan A, Karahan O, Yavuz C, Guclu O, Cayir MC, et al. Neutrophil gelatinase-associated lipocalin as a biomarker for acute kidney injury in patients undergoing coronary artery bypass grafting. Exp Clin Cardiol 2013;18:107-9.

26) Haase M, Bellomo R, Story D, Davenport P, Haase-Fielitz A. Urinary interleukin-18 does not predict acute kidney injury after adult cardiac surgery: a prospective observational cohort study. Crit Care 2008;12:R96.