Skip to main content
Download PDF

Early recognition of cardiac surgery-associated acute kidney injury: lack of added value of TIMP2 IGFBP7 over short-term changes in creatinine (an observational pilot study)

BMC Anesthesiology volume 21, Article number: 244 (2021) Cite this article

Abstract

Background

For the detection of cardiac surgery-associated acute kidney injury (CS-AKI), the performance of urine tissue inhibitor of metalloproteinase 2 insulin-like growth factor-binding protein 7 (TIMP2 IGFBP7) has never been compared with that of very early changes in plasma creatinine (∆pCr). We hypothesized that, in the context of perioperative haemodilution, lack of postoperative decrease in pCr would be of honourable performance for the detection of CS-AKI. We therefore aimed at comparing these biomarkers and their kinetics (primary objective). As secondary objectives, we assessed plasma neutrophil gelatinase-associated lipocalin (pNGAL), cystatin C (pCysC) and urea (pUrea). We also determined the ability of these biomarkers to early discriminate persistent from transient CS-AKI.

Methods

Patients over 75 years-old undergoing aortic valve replacement with cardiopulmonary bypass (CPB) were included in this prospective observational study. Biomarkers were measured before/after CPB and at the sixth postoperative hour (H6).

Results

In 65 patients, CS-AKI occurred in 27 (42%). ∆pCr from post-CPB to H6 (∆pCrpostCPB-H6): outperformed TIMP2 IGFBP7 at H6 and its intra- or postoperative changes: area under the receiver operating characteristic curve (AUCROC) of 0.84 [95%CI:0.73–0.92] vs. ≤0.67 [95%CI:0.54–0.78], p ≤ 0.03. The AUCROC of pNGAL, pCysC and pUrea did not exceed 0.72 [95%CI:0.59–0.83]. Indexing biomarkers levels for blood or urine dilution did not improve their performance. Combining TIMP2 IGFBP7 and ∆pCrpostCPB-H6 was of no evident added value over considering ∆pCrpostCPB-H6 alone. For the early recognition of persistent CS-AKI, no biomarker outperformed ∆pCrpostCPB-H6 (AUCROC = 0.69 [95%CI:0.48–0.85]).

Conclusions

In this hypothesis-generating study mostly testing early detection of mild CS-AKI, there was no evident added value of the tested modern biomarkers over early minimal postoperative changes in pCr: despite the common perioperative hemodilution in the setting of cardiac surgery, if pCr failed to decline within the 6 h after CPB, the development of CS-AKI was likely. Confirmatory studies with more severe forms of CS-AKI are required.

Peer Review reports

Background

Cardiac surgery-associated AKI (CS-AKI) is frequent and even very mild forms -including isolated transient oliguria- are associated with negative outcomes [1,2,3]. Prevention, early detection and treatment of CS-AKI are therefore desirable.

The diagnosis of CS-AKI is based on plasma creatinine (pCr) increase and oliguria [4]. However, those criteria are often deemed inappropriate for an early diagnosis of CA-AKI. pCr is considered insensitive to acute changes in kidney function [5] and urine output can be misleading. Indeed, despite renal injury, normal urine output can be observed if diuretics are administered or if the concentrating mechanisms of the kidneys are impaired. Furthermore, oliguria is the appropriate response to hypovolemia without renal damage [4].

Therefore, ‘modern’ biomarkers were proposed, such as neutrophil gelatinase-associated lipocalin (NGAL), plasma cystatin C (pCysC) and, more recently, two urinary cell-cycle arrest biomarkers combined in a unique test (NEPHROCHECK®): tissue inhibitor of metalloproteinase 2 and insulin-like growth factor-binding protein 7 (TIMP2 IGFBP7) [5,6,7]. In a large cohort mixing patients from surgical and medical intensive care units (ICUs), TIMP2 IGFBP7 outperformed other biomarkers [8]. In the specific setting of cardiac surgery, TIMP2 IGFBP7 is considered as a valuable tool [9, 10]. Conflicting conclusions were reported for other biomarkers [6]. Surprisingly, comparisons of biomarkers performance are scarce. Only one study compared the accuracy of TIMP2 IGFBP7 with another renal biomarker (NGAL) in the setting of adults cardiac surgery [11].

Of note, pCr and its very early postoperative changes were scarcely assessed to detect CS-AKI. Owing to cardiac surgery-associated haemodilution, pCr is expected to decrease in the immediate aftermath of the procedure. Hence, lack of decrease in pCr may be an early indicator of CS-AKI. Interestingly, the two studies which assessed short-term changes in pCr after cardiac surgery reported a very encouraging diagnostic performance [12, 13]. To the best of our knowledge, no study compared TIMP2 IGFBP7 with short-term changes in pCr.

As a primary objective, we aimed to compare the performance of urine TIMP2 IGFBP7 (NEPHROCHECK®) at H6 to early postoperative variations of pCr for the detection of CS-AKI. As secondary objectives, we analyzed the performance of early changes in plasma NGAL (pNGAL), pCysC and urea (pUrea). Last, we assessed the ability of these biomarkers to discriminate persistent from transient CS-AKI.

Methods

Ethical approval for this study was provided by the institutional review board of Nantes University Hospital (Groupe Nantais d’Ethique dans le Domaine de la Santé, GNEDS2013-01-08; Chairperson Prof F.Ballereau). Preoperative written consent was obtained from all patients during the pre-anaesthetic consultation.

Patients

Adults over 75 years-old undergoing elective surgical aortic valve replacement under CPB were prospectively and consecutively included over 2 periods (November 2012–February 2013 and February 2016–January 2017). The time in-between was related to the need for additional funding. Eligible patients were identified on the schedule of operations, before the preoperative anesthesia consultation.

Patients were not included in the event of preoperative renal replacement therapy (RRT), additional surgical procedure (along with the aortic valve replacement) or refusal to participate.

Perioperative care

Total intravenous anaesthesia (sufentanil and propofol), atracurium, cefuroxime and unfractioned heparin were administered. Fluids used for volume expansion were crystalloids (0.9% saline or Ringer lactate) and gelatin solutions. No patient received hydroxyethylstarch. CPB prime solution was Ringer lactate. All patients were transported to the ICU immediately after the completion of the surgical procedure.

Measurements

Urine (via the dedicated port of the Foley catheter, in BD Vacutainer® Plus urinalysis tube, BD Diagnostics, Le Pont de Claix, France) and blood (in lithium heparin tube, BD Vacutainer®) were sampled before CPB initiation (pre-CPB, just after the insertion of the Foley catheter), immediately after its end (post-CPB), 6 h later (H6) and the day after the surgery (Day1).

As current practice, pUrea and pCr measurements were provided to the attending physician, contrary to other biomarkers which were measured later on, on centrifuged samples [2200 g during 10 min] frozen and stored at − 80 °C.

TIMP2 IGFBP7 was measured using an immunoassay (NEPHROCHECK®, Astute Medical, San Diego, CA, USA). Other measurements were made on Cobas 6000 Roche analyser: pCr and pUrea using an enzymatic assay (Creatininase and Urease, respectively, Roche), pNGAL (ST001CA Eurobio Bioporto, Roche) and pCysC (Tina quant Cystatine Gen2, Roche) using an immunoturbidimetric assay, albuminemia using the bromocresol green method (Roche).

Statistical analysis

Main outcome: CS-AKI

CS-AKI was defined according to the stage ≥1 of the Kidney Disease Improving Global Outcome (KDIGO) guidelines: within 2 days, increase in pCr of ≥26.5 μmol/L (≥0.3 mg/dL) and/or ≥ 1.5 x baseline pCr and/or urine volume < 0.5 mL/kg/h for 6 h [4]. Stage ≥2 CS-AKI was defined as a doubling of baseline pCr and/or urine output < 0.5 mL/kg/h for ≥12 h [4]. Pre-CPB pCr was baseline pCr. All pCr available measurements within the 48 postoperative hours were analyzed for the CS-AKI outcome and the worst change in pCr was considered. Urine output was assessed hourly in the ICU and every 2 to 6 h in the ward (from Day1, if permitted by the patient’s condition). Among relevant clinical and biological data (Table 1), the need for RRT during the hospital stay was collected.

Table 1 Patients’ characteristics
Full size table

Comparison of biomarkers performance

The area under the receiver operating characteristic curve (AUCROC) was determined for either isolated measurements or concentration changes between two time points. AUCROCs were compared [14]. Sensitivity, specificity, positive and negative predictive values were determined. For TIMP2 IGFBP7, the proposed threshold of 0.3 (ng/mL)2/1000 was tested [7].

Analyses for secondary objectives

We explored whether correcting the levels of plasma biomarkers for hemodilution (a frequent condition during and after cardiac surgery with CPB) improved their diagnostic performance. Change in albuminemia was used for this purpose. Example:

$$ corrected\ pNGAL\ at\ H6= pNGAL\ at\ H6+\left[ pNGAL\ at\ H6\ x\ \left(\% decrease\ in\ albuminemia\ between\ pre- CPB\ and\ H6\right)\right] $$

Similarly, the degree of concentration of urines may be altered (by excessive volume expansion, diuretics use for instance). To overcome this confounding factor, the performance of the ratio of urine TIMP2 IGFBP7 level to urine creatinine was assessed.

The diagnostic performances of TIMP2 IGFBP7, pNGAL, pCysC, pUrea at day 1 were also tested.

Combinations of TIMP2 IGFBP7 and changes in pCr were assessed. Cutoffs were determined by the Youden index.

Last, among patients developing CS-AKI, we assessed the ability of the biomarkers measured at H6 or earlier to discriminate between persistent and transient CS-AKI. Only for this very specific analysis, the KDIGO stage of CS-AKI determined from H48 to H60 were compared to that determined before H48. Transient CS-AKI was defined as a decrease in the KDIGO stage over time. Otherwise, CS-AKI was considered persistent [15].

Between-groups comparisons relied on chi-squared and Mann-Whitney tests. A p < 0.05 was considered significant. Analysis was performed on anonymous data with MedCalc™15.8 (MedCalc Software bv, Ostend, Belgium). No data imputation was performed.

This manuscript is in accordance with the STARD statements for the reporting of studies of diagnostic accuracy (Supplemental Table 1) [16].

Study size

The funding capacity for this pilot study allowed measurements of TIMP2 IGFBP7 in 65 patients. Lack of timely intra-or postoperative blood or urine sampling was expected in some patients since inclusion was made during the preoperative anaesthesia consultation and the perioperative availability of the investigators was not guaranteed. We therefore included patients until reaching a total of 65 patients with measurements of TIMP2 IGFBP7 at H6 and plasma creatinine. This study size permits to detect a difference of 0.20 (α = 0.05 and β = 0.20) between the AUCROC of postoperative change in pCr (a priori unknown) and that of TIMP2 IGFBP7 at H6 (assumed to be ≈0.85 [9, 17]), assuming a correlation between these two biomarkers of 0.50 and an incidence of CS-AKI of 40% [1, 2].

Results

Among 98 included patients, 65 had measurements of both TIMP2 IGFBP7 and pCr (Table 1). Reasons for exclusion (mostly related to investigators unavailability) are depicted in Fig. 1. Baseline characteristics of excluded patients did not differ from those of included patients (Supplemental Table 2).

Fig. 1
figure 1

Study diagram. Legend: This diagram follows STARD reporting guideline for diagnostic accuracy studies. CS-AKI: cardiac surgery-associated acute kidney injury; CPB: cardiopulmonary bypass; pCr: plasma creatinine; TIMP2 IGFBP7: tissue inhibitor of metalloproteinase 2 ̶ insulin-like growth factor-binding protein 7; RRT: renal replacement therapy. CS-AKI was classified according to Kidney Disease Improving Global Outcome (KDIGO) guidelines including both pCr change and the urine output criterion

Full size image

Twenty seven patients (42%) developed CS-AKI, mostly stage 1 CS-AKI (25 patients [93%], Fig. 1). One patient (1.7%) needed RRT within the week after CPB. CA-AKI patients had a longer length of stay in the ICU (3 [IQR 2–5] vs. 2 [1, 2, 4] days; p = 0.037).

Primary objective: comparison of TIMP2 IGFBP7 and pCr for the early detection of CS-AKI (n = 65 patients)

There was a marked overlap between TIMP2 IGFBP7 measurements at H6 in patients who developed CS-AKI and those who did not (Fig. 2) and the associated AUCROC to detect CS-AKI was only fair (AUCROC = 0.64 [95%CI 0.51;0.76]). The commonly proposed cutoff of 0.3 (ng/mL)2/1000 for TIMP2 IGFBP7 was associated, at H6, with poor sensitivity and specificity (63% [95%CI 42–81%] and 58% [95%CI 41–74%], respectively).

Fig. 2
figure 2

Concentration of TIMP2 IGFBP7 and change in pCr. Legend: CS-AKI: Cardiac surgery-associated acute kidney injury (CS-AKI); TIMP2 IGFBP7: tissue inhibitor of metalloproteinase 2 ̶ insulin-like growth factor-binding protein 7; pCr: plasma creatinine. CPB: cardiopulmonary bypass

Full size image

Whether we considered changes between two time points or isolated measurements, the AUCROC of TIMP2 IGFBP7 was below 0.68, significantly lower (p ≤ 0.03) than the AUCROC of absolute changes in pCr from post-CPB to H6 (∆pCrpostCPB-H6): AUCROC = 0.84 (95%CI 0.73–0.92) (Fig. 3). Lack of postoperative decrease in pCr (∆pCrpostCPB-H6 > 0 μmol. L− 1) was associated with 85% (95%CI 66–96%) and 79% (95%CI 63–90%) sensitivity and specificity, respectively.

Fig. 3
figure 3

Early recognition of cardiac surgery-associated AKI (n = 65 patients). Legend: The accuracy for the prediction or the detection of stage ≥1 cardiac surgery-associated acute kidney injury (CS-AKI) was assessed via the area under receiver operating characteristic curve (AUCROC [95% confidence interval]). Each biomarker was tested for 1) an isolated sample taken before (Pre-CPB), immediately after (Post-CPB) cardiopulmonary by-pass and 6 h (H6) later and 2) for change in concentration between 2 time points. ∆: change in biomarker concentration; TIMP2 IGFBP7: tissue inhibitor of metalloproteinase 2 ̶ insulin-like growth factor-binding protein 7; pCr: plasma creatinine

Full size image

Considering percentage rather than absolute (in μmol. L− 1) change in pCr did not improve the performance of ∆pCrpostCPB-H6: AUCROC = 0.82 (95%CI 0.71–0.91) vs. 0.84 (95%CI 0.73–0.92), respectively (p = 0.8). Likewise, considering changes in pCr from pre-CPB (rather than post-CPB) to H6 levels was not superior to ∆pCrpostCPB-H6 (AUCROC = 0.68 [95%CI 0.56–0.79] vs.0.84 [0.73–0.92]; p = 0.07).

Secondary objectives

Comparison of all biomarkers for the early detection of CS-AKI (n = 59 patients)

In 59 out of 65 patients, all biomarkers, including pNGAL, pCysC, and pUrea, were measured at all time points. Twenty-six of these patients (44%) developed CS-AKI.

For pNGAL, pCysC and pUrea, as for TIMP2 IGFBP7, there was a marked overlap of the concentrations measured in patients who developed CS-AKI and those who did not (Supplemental Figure 1).

Whether we considered changes between two time points or isolated measurements, the AUCROC of these biomarkers was not higher than that of ∆pCrpostCPB-H6 (Fig. 4, Supplemental Figure 2 and Supplemental Tables 3a to e).

Fig. 4
figure 4

Early recognition of cardiac surgery-associated AKI in patients in whom all biomarkers were measured (n = 59). Legend: The accuracy for the prediction or the detection of stage ≥1 cardiac surgery-associated acute kidney injury (CS-AKI) was assessed via the area under receiver operating characteristic curve (AUCROC [95% confidence interval]). Twenty-six patients (44%) developed CS-AKI (mostly stage 1 CS-AKI, only 2 patients developing stage 2–3). CPB: cardiopulmonary bypass; ∆: change in biomarker concentration; TIMP2 IGFBP7: tissue inhibitor of metalloproteinase 2 ̶ insulin-like growth factor-binding protein 7; pCr: plasma creatinine; NGAL: neutrophil gelatinase-associated lipocalin

Full size image

Biomarkers performance was not enhanced by:

  • correcting plasma biomarkers measurements for hemodilution by indexing them to change in albuminemia (Supplemental Tables 3a-e);

  • indexing urine TIMP2 IGFBP7 to urine creatinine (at H6: AUCROC = 0.63 [95%CI 0.50–0.75]);

  • considering late (day 1) measurements of TIMP2 IGFBP7, pNGAL, pCysC or pUrea (Supplemental Tables 3b-e): AUCROC = 0.59 [95%CI 0.46–0.71] for TIMP2 IGFBP7 at day 1 (n = 61);

Likewise, omitting the urine output criterion of the CS-AKI definition did not change the conclusions (Supplemental Table 4).

Combination of biomarkers: refining pCr-based early detection of CS-AKI with the use of a second biomarker

Thrity-one patients experienced lack of postoperative decrease in pCr (positive ∆pCrpostCPB-H6 test) and therefore had high likelihood for developping CS-AKI. In these patients, we assessed whether the adjunction of TIMP2 IGFBP7 could be helpful to discriminate between false and true positive cases for ∆pCrpostCPB-H6. Median TIMP2 IGFBP7 at H6 was of no added value since it was not significantly different in patients who developed CS-AKI (n = 23 true positives for ∆pCrpostCPB-H6) and those who did not (n = 8 false positives): 0.42 (IQR 0.20;0.81) versus 0.45 (IQR 0.09;1.56) (ng/mL)2/1000; p = 0.70.

Likewise, in patients in whom ∆pCrpostCPB-H6 indicated low likelihood of developing CS-AKI (∆pCrpostCPB-H6 ≤ 0 μmol. L− 1), TIMP2 IGFBP7 was of little help to discriminate between true (n = 30) and false negative cases (n = 4) for ∆pCrpostCPB-H6: median TIMP2 IGFBP7 at H6 of 0.19 (IQR 0.09;0.50) versus 0.44 (IQR 0.31;0.60) (ng/mL)2/1000; p = 0.19 (Fig. 5). For pUrea or its changes, these conclusions were similar (data not shown).

Fig. 5
figure 5

Combination of pCr and TIMP2 IGFBP7 for the early detection of CS-AKI. Legend: CS-AKI: Cardiac surgery-associated acute kidney injury; CPB: cardiopulmonary bypass; ∆pCrpostCPB-H6: change in plasma creatinine from CPB to H6; TIMP2 IGFBP7: tissue inhibitor of metalloproteinase 2 ̶ insulin-like growth factor-binding protein 7. CS-AKI was classified according to Kidney Disease Improving Global Outcome (KDIGO) guidelines. For each panel, the marked overlap between values TIMP2 IGFBP7 in patients who developed CS-AKI and those who did not suggests that TIMP2 IGFBP7 at H6 was of no evident added value to ∆pCrpostCPB-H6 for a better stratification of the risk of CS-AKI as compared with the use of ∆pCrpostCPB-H6 alone

Full size image

A high level of pNGAL (or pCysC to a lesser extent) may be helpful to distinguish between false and true positive cases and may therefore improve the biomarkers-based risk stratification of developing CS-AKI. However, wide confidence intervals prevent drawing firm conclusions (Supplemental Figure 3a to c).

The ability to detect stage 2–3 CS-AKI was not analyzed since only 2 patients developed it.

Early discrimination of persistent from transient CS-AKI

TIMP2 IGFBP7, pNGAL, or pCysC did not outperform ∆pCrpostCPB-H6 for this purpose (AUCROC = 0.69 [95%CI:0.48 to 0.85] (Supplemental Figure 4).

Discussion

In patients over 75 years-old undergoing surgical aortic valve replacement with CPB and experiencing CS-AKI with an incidence which is in line with recent studies using the same modern definition [1,2,3, 18], ∆pCrpostCPB-H6 outperformed TIMP2 IGFBP7 at H6 for the early recognition of CS-AKI. TIMP2 IGFBP7 measured at other timepoints were not of higher performance, as well as changes in TIMP2 IGFBP7. Similar findings were observed for pNGAL, CysC and pUrea. To discriminate persistent from transient CS-AKI, no novel biomarker outperformed pCr.

As in the present study, a limited performance has been previously reported for pNGAL and CysC after cardiac surgery [12]. In various settings, urine TIMP2 IGFBP7 is considered to be the most accurate biomarker [19]. In cardiac surgery, a recent meta-analysis of 10 studies found that the pooled AUCROC of TIMP2 IGFBP7 for the detection of CS-AKI was remarkable (AUCROC = 0.83 [standard error 0.02]) [9]. So why did not we find such good diagnostic accuracy for TIMP2 IGFBP7? Firstly, not all the available studies reported good performance for TIMP2 IGFBP7: some recent studies, not included in Su et al. meta-analysis, reported, as we did, a poor-to-moderate performance for TIMP2 IGFBP7 (AUCROC = 0.57–0.69) [20,21,22]. Secondly, Day1 measurement of TIMP2 IGFBP7 has been included in this meta-analysis [9]. For instance, in one study, an AUCROC of TIMP2 IGFBP7 at Day1 (0.71) has been retained whereas AUCROCs at the end of the surgery (AUCROC = 0.63) or at the 4th hour (AUCROC = 0.51) have not [23]. However, beyond the fact that, at Day1, the superiority of TIMP2 IGFBP7 over pCr is highly uncertain, we believe that Day1 is a time point which is too late to provide nephroprotective interventions and is therefore not an early diagnosis of CS-AKI. Thirdly, several studies defined CS-AKI only by pCr increase, i.e., omitted the urine output criterion [24,25,26,27,28,29]. Yet, even possibly misleading, urine output is full part of the recommended definition of AKI [4]. Last, in 3 studies included in Su et al.’s meta-analysis, TIMP2 IGFBP7 has been analyzed only for the detection of stage 2–3 CS-AKI [9] and in most other studies, stage 2–3 CS-AKI featured prominently among cases of CS-AKI. This may have contributed to the good pooled performance of TIMP2 IGFBP7 for the detection of all stages CS-AKI. Indeed, the more severe the disease, the more sensitive and specific its biomarker. Hence, the diagnostic performance of TIMP2 IGFBP7 is probably better for the identification of moderate-to-severe CS-AKI (stage 2–3) than for mild CS-AKI (stage 1). It is noteworthy that TIMP2 IGFBP7 has been approved by the US Food and Drug Administration as an aid in the risk assessment for moderate or severe (stage 2–3) acute kidney injury within the next 12 h. Our study, in which most (92%) CS-AKI cases were mild (stage 1), contrary to several previous studies [9], discourages to extend the indication for TIMP2 IGFBP7 to the detection of mild CS-AKI developing within the 48 postoperative hours.

Our results challenges the long-held belief that pCr is too slow in its response to renal injury to provide a valuable prediction of adverse outcomes. However, our findings are in line with those of the scarce studies assessing the performance of early measurements of pCr. Indeed, minimal very short-term changes in pCr were associated with 30-day mortality after cardiac surgery [30] or with a composite outcome of hospital mortality or need for RRT [13]. Closer to the scope of the present study, i.e., early detection of CS-AKI, Ho et al. reported the utility of an early postoperative increase in pCr by ≥10% from baseline (odds ratio = 6.4 [95%CI:2.37–17.2]) [31]. McIlroy et al. found that if early postoperative pCr measurements failed to decline, the occurrence of CS-AKI was likely (odds ratio = 2.6 [95%CI 1.7–4.1]) [13]. These findings are reinforced by the present study, which, besides, provides the AUCROC for the CS-AKI outcome. We found the same threshold as that proposed by McIllroy et al. for change in pCr (0 μmol. L− 1) [13], in spite of the fact that we considered change in pCr from post-CPB to H6 (vs. from preoperative pCr to ≈ 3 h of ICU admission). Hence, minimal very short-term changes in pCr may reflect renal injury. Owing to perioperative volume expansion (especially during cardiac surgery with CPB), a decrease in pCr level is expected in the immediate aftermath of the procedure. Several hypotheses may be advanced if pCr fails to decline: reduced renal creatinine clearance, increased perioperative creatinine production, reduction in total body water (related to diuretic administration for instance) [13, 31] or misleading measurements of pCr owing to analytical variability. However, the analytical precision of the enzymatic assay we used for pCr was good in our laboratory during the study period and beyond: maximum coefficient of variation of only 2.9% (even lower for elevated levels of pCr).

Strengths of this study

The present study is prospective and, again, used the full current definition of AKI [4]. It compared multiple modern biomarkers within the same population. Of note, only one study in adult patients undergoing cardiac surgery compared TIMP2 IGFBP7 to another novel biomarker (urine NGAL) [11]. Two studies did so in children, testing urine NGAL and Kidney Injury Molecule-1 [11, 27]. In addition to TIMP2 IGFBP7, pNGAL and pCysC, and contrary to the vast majority of previous studies, we also reported the ability of early measurements of pCr and pUrea for the detection of CS-AKI. Our comprehensive analysis encompassed isolated measurements of biomarkers and also their kinetics. We explored the impact of the indexation of biomarkers levels to changes in albuminemia (as a gauge of haemodilution) or to urine creatinine (to overcome the heterogeneity in urine concentration). Last, contrary to previous studies in the cardiac surgery setting, we distinguished the persistent and the transient nature of CS-AKI according to recent recommendations [15].

Study limitations

First, our findings observed in 65 patients, should be validated in a larger cohort. A larger study size is required for a more robust analysis of biomarkers combinations and a specific analysis of stage 2–3 CS-AKI detection. Additional studies will also be needed to assess whether a biomarker-guided implementation of nephroprotective measures at the 6th hour after the end of CPB (plus the turnaround time for pCr) positively impacts patients outcome. Of note, this has been found with TIMP2 IGBP7 measurements at the 4th hour [36].

Second, owing to the exploratory nature of most analyses, we preferred preventing potentially useful findings not being overlooked [32]. We therefore did not make adjustments for multiple tests but we cannot exclude that some significant differences we found were actually due to chance.

Third, only elderly patients (≥ 75 years-old) undergoing aortic valve replacement with CPB were included. Caution should therefore be exercised before any extrapolation to other populations. We chose to focus on this specific population because, in these often fragile patients, a less invasive alternative therapy for aortic valve stenosis is increasingly proposed when cardiac surgery with CPB is of questionable benefit/risk ratio: transcatheter aortic valve implantation [34]. To optimize the safety of the open surgery option, reliable renal biomarkers are required to prompt nephroprotective measures [4, 19].

Fourth, we cannot exclude that some false negative cases for TIMP2 IGFBP7 (or other biomarkers) were actually true negatives: some stage 1 CS-AKI cases could have been “functional”, i.e., with no kidney cell damage, explaining the lack of increase in novel biomarkers levels in patients with mild increase in pCr and/or oliguria [9]. However, “even mild reversible AKI has important clinical consequences” as stated in KDIGO guidelines and supported by several studies in the setting of cardiac surgery [1, 2, 12, 13, 30, 33, 35], and should therefore be detected as early as possible [4, 33].

Fifth, we did not strictly use all the criteria of the KDIGO definition. Indeed, we focused on the renal impact of the index cardiac surgery procedure (and very early potential complications) rather than later complications. As other authors [1, 3, 36], we therefore arbitrarily reduced the observation period of the CS-AKI definition. We used a 48 h-time window for all criteria although one of the three criteria of the KDIGO definition (relative increase in pCr) has been proposed with a 7-day time window [4]. Enlarging the time window, i.e., using a more sensitive definition, could have yielded higher incidence of CS-AKI and, possibly, different performance of the tested biomarkers.

Last, pCr was both biomarker under-test and full part of the definition (within 48 postoperative hours, along with oliguria) of the outcome measure (CS-AKI). Although only early (H6 or earlier) measurements of pCr were analyzed for the early detection of CS-AKI, pCr may therefore be seen as both judge and judged. Again, we used the recommended definition of AKI [4]. Confirming our findings by using a definition of CS-AKI fully unrelated to pCr would be desirable, but such robust standard does not exist to date.

Conclusions

In summary, in a population with low incidence of stage 2–3 CS-AKI, there was no evident added value of TIMP2 IGFBP7 at H6 over ∆pCrpostCPB-H6 for the early recognition of mild (stage 1) CS-AKI and of it persistent nature. Despite the common perioperative hemodilution in the setting of cardiac surgery, if pCr failed to decline within the 6 h after CPB, the development of CS-AKI was likely. These findings should be confirmed for both internal and external validity and cannot be extrapolated to patients with more severe forms of CS-AKI.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

95%CI:

95% confidence interval

AUCROC :

Area under the receiver operating characteristic curve

CPB:

Cardiopulmonary bypass

CS-AKI:

Cardiac surgery-associated AKI

ICU:

Intensive care unit

KDIGO:

Kidney Disease Improving Global Outcome

NGAL:

Neutrophil gelatinase-associated lipocalin

pCr:

plasma creatinine

pCysC:

plasma cystatin C

pUrea:

plasma urea

pNGAL:

plasma NGAL

RRT:

Renal replacement therapy

TIMP2 IGFBP7:

Tissue inhibitor of metalloproteinase 2 & insulin-like growth factor-binding protein 7

References

  1. Priyanka P, Zarbock A, Izawa J, Gleason TG, Renfurm RW, Kellum JA. The impact of acute kidney injury by serum creatinine or urine output criteria on major adverse kidney events in cardiac surgery patients. J Thorac Cardiovasc Surg. 2020. https://doi.org/10.1016/j.jtcvs.2019.11.137.

  2. Petäjä L, Vaara S, Liuhanen S, Suojaranta-Ylinen R, Mildh L, Nisula S, et al. Acute kidney injury after cardiac surgery by complete KDIGO criteria predicts increased mortality. J Cardiothorac Vasc Anesth. 2017;31(3):827–36. https://doi.org/10.1053/j.jvca.2016.08.026.

  3. Howitt SH, Grant SW, Caiado C, Carlson E, Kwon D, Dimarakis I, et al. The KDIGO acute kidney injury guidelines for cardiac surgery patients in critical care: a validation study. BMC Nephrol. 2018;19(1):149. https://doi.org/10.1186/s12882-018-0946-x.

  4. KDIGO. Clinical practice guideline for acute kidney. Injury. 2012;2(Suppl. 1):141.

  5. Wasung ME, Chawla LS, Madero M. Biomarkers of renal function, which and when? Clin Chim Acta. 2015;438:350–7. https://doi.org/10.1016/j.cca.2014.08.039.

  6. Gaffney AM, Sladen RN. Acute kidney injury in cardiac surgery. Curr Opin Anaesthesiol. 2015;28(1):50–9. https://doi.org/10.1097/ACO.0000000000000154.

  7. Bihorac A, Chawla LS, Shaw AD, al-Khafaji A, Davison DL, DeMuth GE, et al. Validation of cell-cycle arrest biomarkers for acute kidney injury using clinical adjudication. Am J Respir Crit Care Med. 2014;189(8):932–9. https://doi.org/10.1164/rccm.201401-0077OC.

  8. Kashani K, Al-Khafaji A, Ardiles T, et al. Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury. Crit Care Lond Engl. 2013;17(1):R25. https://doi.org/10.1186/cc12503.

  9. Su L-J, Li Y-M, Kellum JA, Peng ZY. Predictive value of cell cycle arrest biomarkers for cardiac surgery-associated acute kidney injury: a meta-analysis. Br J Anaesth. 2018;121(2):350–7. https://doi.org/10.1016/j.bja.2018.02.069.

  10. Ostermann M, Zarbock A, Goldstein S, Kashani K, Macedo E, Murugan R, et al. Recommendations on acute kidney injury biomarkers from the acute disease quality initiative consensus conference: a consensus statement. JAMA Netw Open. 2020;3(10):e2019209. https://doi.org/10.1001/jamanetworkopen.2020.19209.

  11. Meersch M, Schmidt C, Van Aken H, et al. Urinary TIMP-2 and IGFBP7 as early biomarkers of acute kidney injury and renal recovery following cardiac surgery. PLoS One. 2014;9(3):e93460. https://doi.org/10.1371/journal.pone.0093460.

  12. Ho J, Tangri N, Komenda P, Kaushal A, Sood M, Brar R, et al. Urinary, plasma, and serum biomarkers’ utility for predicting acute kidney injury associated with cardiac surgery in adults: a meta-analysis. Am J Kidney. 2015;66(6):993–1005. https://doi.org/10.1053/j.ajkd.2015.06.018.

  13. McIlroy DR, Farkas D, Matto M, et al. Neutrophil gelatinase-associated lipocalin combined with delta serum creatinine provides early risk stratification for adverse outcomes after cardiac surgery: a prospective observational study. Crit Care Med. 2015;43(5):1043–52. https://doi.org/10.1097/CCM.0000000000000927.

  14. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983;148(3):839–43. https://doi.org/10.1148/radiology.148.3.6878708.

  15. Chawla LS, Bellomo R, Bihorac A, et al. Acute kidney disease and renal recovery: consensus report of the acute disease quality initiative (ADQI) 16 workgroup. Nat Rev Nephrol. 2017;13(4):241–57. https://doi.org/10.1038/nrneph.2017.2.

  16. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Clin Chem. 2003;49(1):7–18. https://doi.org/10.1373/49.1.7.

  17. Gocze I, Koch M, Renner P, Zeman F, Graf BM, Dahlke MH, et al. Urinary biomarkers TIMP-2 and IGFBP7 early predict acute kidney injury after major surgery. PLoS One. 2015;10(3):e0120863. https://doi.org/10.1371/journal.pone.0120863.

  18. Najjar M, Yerebakan H, Sorabella RA, Donovan DJ, Kossar AP, Sreekanth S, et al. Acute kidney injury following surgical aortic valve replacement. J Card Surg. 2015;30(8):631–9. https://doi.org/10.1111/jocs.12586.

  19. Guzzi LM, Bergler T, Binnall B, Engelman DT, Forni L, Germain MJ, et al. Clinical use of [TIMP-2] [IGFBP7] biomarker testing to assess risk of acute kidney injury in critical care: guidance from an expert panel. Crit Care Lond Engl. 2019;23(1):225. https://doi.org/10.1186/s13054-019-2504-8.

  20. Zaouter C, Potvin J, Bats M-L, Beauvieux MC, Remy A, Ouattara A. A combined approach for the early recognition of acute kidney injury after adult cardiac surgery. Anaesth Crit Care Pain Med. 2018;37(4):335–41. https://doi.org/10.1016/j.accpm.2018.05.001.

  21. Grieshaber P, Möller S, Arneth B, et al. Predicting cardiac surgery-associated acute kidney injury using a combination of clinical risk scores and urinary biomarkers. Thorac Cardiovasc Surg. 2019;68:388–99.

  22. Zaouter C, Priem F, Leroux L, Bonnet G, Bats ML, Beauvieux MC, et al. New markers for early detection of acute kidney injury after transcatheter aortic valve implantation. Anaesth Crit Care Pain Med. 2018;37(4):319–26. https://doi.org/10.1016/j.accpm.2017.10.004.

  23. Wetz AJ, Richardt EM, Wand S, Kunze N, Schotola H, Quintel M, et al. Quantification of urinary TIMP-2 and IGFBP-7: an adequate diagnostic test to predict acute kidney injury after cardiac surgery? Crit Care Lond Engl. 2015;19(1):3. https://doi.org/10.1186/s13054-014-0717-4.

  24. Cummings JJ, Shaw AD, Shi J, et al. Intraoperative prediction of cardiac surgery-associated acute kidney injury using urinary biomarkers of cell cycle arrest. J Thorac Cardiovasc Surg. 2019;157:1545–1553.e5.

  25. Oezkur M, Magyar A, Thomas P, Stork T, Schneider R, Bening C, et al. TIMP-2*IGFBP7 (Nephrocheck®) measurements at intensive care unit admission after cardiac surgery are predictive for acute kidney injury within 48 hours. Kidney Blood Press Res. 2017;42(3):456–67. https://doi.org/10.1159/000479298.

  26. Finge T, Bertran S, Roger C, Candela D, Pereira B, Scott C, et al. Interest of urinary [TIMP-2] x [IGFBP-7] for predicting the occurrence of acute kidney injury after cardiac surgery: a gray zone approach. Anesth Analg. 2017;125(3):762–9. https://doi.org/10.1213/ANE.0000000000002116.

  27. Gist KM, Goldstein SL, Wrona J, Alten JA, Basu RK, Cooper DS, et al. Kinetics of the cell cycle arrest biomarkers (TIMP-2*IGFBP-7) for prediction of acute kidney injury in infants after cardiac surgery. Pediatr Nephrol. 2017;32(9):1611–9. https://doi.org/10.1007/s00467-017-3655-y.

  28. Dusse F, Edayadiyil-Dudásova M, Thielmann M, et al. Early prediction of acute kidney injury after transapical and transaortic aortic valve implantation with urinary G1 cell cycle arrest biomarkers. BMC Anesthesiol. 2016;16:76.

  29. Meersch M, Schmidt C, Van Aken H, et al. Validation of cell-cycle arrest biomarkers for acute kidney injury after pediatric cardiac surgery. PLoS One. 2014;9(10):e110865. https://doi.org/10.1371/journal.pone.0110865.

  30. Bernardi MH, Ristl R, Neugebauer T, Hiesmayr MJ, Druml W, Lassnigg A. Very early changes in serum creatinine are associated with 30-day mortality after cardiac surgery: a cohort study. Eur J Anaesthesiol. 2020;37(10):898–907. https://doi.org/10.1097/EJA.0000000000001214.

  31. Ho J, Reslerova M, Gali B, Nickerson PW, Rush DN, Sood MM, et al. Serum creatinine measurement immediately after cardiac surgery and prediction of acute kidney injury. Am J Kidney Dis. 2012;59(2):196–201. https://doi.org/10.1053/j.ajkd.2011.08.023.

  32. Streiner DL. Best (but oft-forgotten) practices: the multiple problems of multiplicity-whether and how to correct for many statistical tests. Am J Clin Nutr. 2015;102(4):721–8. Epub 2015 Aug 5. https://doi.org/10.3945/ajcn.115.113548.

  33. 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(6):1597–605. https://doi.org/10.1097/01.ASN.0000130340.93930.DD.

  34. Reardon MJ, Van Mieghem NM, Popma JJ, et al. Surgical or Transcatheter Aortic-Valve Replacement in Intermediate-Risk Patients. N. Engl. J. Med. 2017;376:1321–31.

  35. Tolpin DA, Collard CD, Lee V-V, et al. Subclinical changes in serum creatinine and mortality after coronary artery bypass grafting. J Thorac Cardiovasc Surg. 2012;143:682–688.e1.

  36. Meersch M, Schmidt C, Hoffmeier A, Van Aken H, Wempe C, Gerss J, Zarbock A. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: the PrevAKI randomized controlled trial. Intensive Care Med. 2017;43(11):1551-1561. Epub 2017 Jan 21. https://doi.org/10.1007/s00134-016-4670-3.

Download references

Acknowledgements

The authors are grateful to Mrs. Laurence Pacaud and Mrs. Laurence Larmet (research nurses of the Department of Anaesthesia & Critical Care Medicine of Laënnec University Hospital, Nantes, France), for their important contribution to this work. We also acknowledge the laboratory staff of Laënnec University Hospital, the Anaesthesia nurses and the medical and nurse staff of the department of Anaesthesia and Critical Care Medicine of Laënnec University Hospital.

Congresses

This paper has never been presented.

Registration of clinical trials in a public registry

None.

Funding

This work was fully funded by departmental funds. Astute Medical only provided the point-of-care device (Astute140 Meter) for the duration of the study but not the reagents. Nephrocheck™ tests were bought to Astute Medical by our department. Cystatin C tests were provided free-of-charge by Roche Diagnostic. NGAL tests were bought to Eurobio by our department. None of these companies have interfered in the design, conduct and data analysis of the study.

Author information

Authors and Affiliations

  1. Service d’Anesthésie-Réanimation, Hôpital Laënnec, Centre Hospitalier Universitaire, 44093, Nantes, France

    Karim Lakhal & Bertrand Rozec

  2. Laboratoire de Biochimie, Hôpital Laënnec, Centre Hospitalier Universitaire, 44093, Nantes, France

    Edith Bigot-Corbel, Emilie Sacchetto & Floris Chabrun

  3. Service de Chirurgie Cardiaque, Hôpital Laënnec, Centre Hospitalier Universitaire, 44093, Nantes, France

    Thomas Senage

  4. Institut National de la Santé et de la Recherche Médicale (INSERM) n°1246, Study of Perinatal, Paediatric and Adolescent Health: Epidemiological Research and Evaluation (SPHERE) Unit, Centre National de la Recherche Scientifique (CNRS), Université de Nantes, Nantes, France

    Thomas Senage

  5. Service de Néphrologie et d’Immunologie clinique, institut de transplantation urologie-néphrologie, Hôtel-Dieu, Centre Hospitalier Universitaire, 44093, Nantes, France

    Lucile Figueres

  6. Direction de la Recherche Clinique et de l’Innovation, Centre Hospitalier Universitaire, 44093, Nantes, France

    Maxime Leroy & Arnaud Legrand

  7. Institut du Thorax, Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université de Nantes, 44093, Nantes, France

    Bertrand Rozec

Authors
  1. Karim Lakhal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Edith Bigot-Corbel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Emilie Sacchetto
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Floris Chabrun
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Thomas Senage
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Lucile Figueres
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Maxime Leroy
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Arnaud Legrand
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Bertrand Rozec
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

All authors read and approved the final version of the manuscript. Karim Lakhal contributed to the conception and design of the study, the collection of clinical data, the statistical analysis and the drafting and revision of the manuscript. Edith Bigot-Corbel contributed to the conception and design of the study, the biological analyses, the collection of biological data, and the drafting and revision of the manuscript. Emilie Sacchetto contributed to the conception and design of the study, the biological analyses and the collection of both clinical and biological data. Floris Chabrun contributed to the biological analyses, and the collection of biological data. Thomas Senage contributed to the drafting and revision of the manuscript for its important intellectual content. Lucile Figueres contributed to the drafting and revision of the manuscript for its important intellectual content. Maxime Leroy contributed to the statistical analysis and the drafting and revision of the manuscript. Arnaud Legrand contributed to the statistical analysis and the drafting and revision of the manuscript for its important intellectual content. Bertrand Rozec contributed to the conception and design of the study, and revision of the manuscript for its important intellectual content.

Corresponding author

Correspondence to Karim Lakhal.

Ethics declarations

Ethics approval and consent to participate

Research involving human subjects complied with all relevant national regulations, institutional policies and is in accordance with the tenets of the Helsinki Declaration (as revised in 2013), and has been approved by the Institutional Review Board of Nantes University Hospital (Groupe Nantais d’Ethique dans le Domaine de la Santé of Nantes University Hospital, France; Chairperson Prof F.Ballereau; GNEDS2013-01-08).

Informed consent was obtained from all individuals included in this study.

Competing interests

None of the authors has any financial or non-financial competing interest in connection with this study.

Karim Lakhal: has no conflict of interest in connection with the work submitted. In addition, KL received, during the past 3 years, consulting fees from ROCHE Diagnostics (once in 2019), congress registration fees from SANOFI AVENTIS (once in 2018), travel fees from MSD France (once, in 2017), GILEAD SCIENCES (once, in 2017), PFIZER (twice, in 2019 and 2020) and Correvio (once, in 2020).

Edith Bigot-Corbel has no conflict of interest in connection with the work submitted. In addition, EBC received, during the past 3 years, congress registration fees from Siemens Healthineers (2017, 2018) and Werfen (2019), congress registration fees and travel fees from Fujirebio (2019).

Bertrand Rozec has no conflict of interest in connection with the work submitted. In addition, BR received, during the past 5 years, lecture fees from Fisher&Paykel, Baxter, LFB, Aspen, research grants from Baxter and consulting fees from LFB, Astra Zeneca.

Emilie Sacchetto has no conflict of interest in connection with the work submitted.

Floris Chabrun has no conflict of interest in connection with the work submitted.

Thomas Senage has no conflict of interest in connection with the work submitted.

Lucile Figueres has no conflict of interest in connection with the work submitted.

Maxime Leroy has no conflict of interest in connection with the work submitted.

Arnaud Legrand has no conflict of interest in connection with the work submitted.

The authors certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Supplemental Figure 1.

Concentration of biomarkers in the same population. Supplemental Figure 2. Early detection of CS-AKI in the same population. Supplemental Figure 3. Refining pCr-based early detection of CS-AKI with the use of a second biomarker. Supplemental Figure 4. Distinction between persistent and transient cardiac surgery-associated AKI. Supplemental Table 1. STARD checklist. Supplemental Table 2. Comparison of baseline characteristics of included and excluded patients. Supplemental Table 3a to 3e. Performance of biomarkers for the detection of CS-AKI. Supplemental Table 4. Performance for the prediction or detection of CS-AKI according to the definition (omitting the urine output criterion or not).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lakhal, K., Bigot-Corbel, E., Sacchetto, E. et al. Early recognition of cardiac surgery-associated acute kidney injury: lack of added value of TIMP2 IGFBP7 over short-term changes in creatinine (an observational pilot study). BMC Anesthesiol 21, 244 (2021). https://doi.org/10.1186/s12871-021-01387-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12871-021-01387-6

Keywords

BMC Anesthesiology

ISSN: 1471-2253

Contact us