Background
During the last few decades, many studies have shown that patients who survive acute kidney injury (AKI) have a greater risk of developing chronic kidney disease (CKD), end stage renal disease (ESRD) and other adverse outcomes compared to patients without AKI [
1].
Regarding AKI after cardiac surgery, efforts have often been made to develop predictive models [
2], finding long term factors for mortality and progressive CKD [
3], as well as evaluating goal-directed renal replacement therapy (GDRRT) in order to improve AKI therapy and to prevent postoperative complications [
4,
5]. However, the definition of renal recovery has not been unified yet [
6‐
10]. Compared with studies about the definition and validation of AKI, there are few studies on renal recovery from AKI and published reports have mainly focused on renal recovery after renal replacement therapy (RRT) [
11]. Studies have shown that early nephrology follow-up after hospitalization for AKI and early referral to a nephrologist is associated with improved survival [
12,
13]. Kirwan et al. studied patients, who survived AKI and required RRT in an intensive care unit (ICU) in East London and found only 57% had serum creatinine (SCr) levels measured within 3–6 months after discharge and that only 12% received a specialist nephrology follow-up [
14]. Lack of knowledge of renal recovery can decrease the awareness of follow-up and intervention in the recovery phase of AKI to CKD. Therefore, a valid definition of renal recovery is needed in order to enhance the interventions. According to Kellum et al., a good definition of renal recovery from AKI should include four main domains: inception (starting point for recovery); magnitude (threshold for recovery); timing (when recovery is assessed), and confounding factors [
15]. However, the commonly used recommended criteria for renal recovery such as Acute Dialysis Quality Initiative (ADQI), Kidney Disease: Improving Global Outcomes (KDIGO) and Acute Renal Failure Trial Network (ATN) are not unequivocal. In the present study, the effects of different renal recovery definitions were evaluated for estimation of long-term outcomes of cardiac surgery associated AKI (CSA-AKI).
Methods
Patients
The ethical committee of Shanghai Zhongshan Hospital approved the study (No. B2017–039) and written informed consent was obtained from all patients. The study was conducted in accordance with the Declaration of Helsinki regarding the ethical principles for medical research involving human subjects. We collected data from patients who underwent cardiac surgery in Shanghai Zhongshan Hospital between April 2009 and April 2013. Exclusion criteria included: age < 18 years; preoperative CKD; survived < 24 h in ICU. In total, 3869 patients meeting the entry requirements were enrolled in the study.
Study design
In this single center retrospective observational study, we chose five commonly used definitions of renal recovery to compare their accuracy in evaluating the long-term outcomes of CSA-AKI patients.
Definitions
The five definitions of “complete renal recovery” were: 1) ATN [
10]: SCr at discharge returned to within baseline SCr + 0.5 mg/dL; 2) ADQI [
7]: returned to within 50% above baseline SCr; 3) Pannu et al. [
9]: returned to within 25% above baseline SCr; 4) KDIGO [
6]: estimated glomerular filtration rate (eGFR) at discharge ≥60 mL/min/1.73 m
2 (Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI formula)) and 5) Bucaloiu et al. [
8]: eGFR at discharge ≥90% of baseline eGFR. The five definitions of “partial renal recovery” were no RRT but failed to meet the criteria for complete renal recovery.
AKI was defined according to the KDIGO 2012 criteria as the absolute value of the SCr increase ≥26.5 mmol/L within 48 h or an increase > 50% compared to the baseline values within 7 days after surgery, or a urine output < 0.5 mL/kg/h ≥ 6 h [
6]. CKD was diagnosed according to the KDIGO criteria [
16]. The estimated glomerular filtration rate (eGFR) was calculated using the CKD-EPI formula: eGFR = a × (SCr/b)
c × (0.993)
age where a = 144 (females)/141 (males), b = 0.7 (females)/0.9 (males), c = female: − 0.329 (SCr ≤ 0.7 mg/dL)/− 1.209 (SCr > 0.7 mg/dL), male: − 0.411 (SCr ≤ 0.7 mg/dL)/− 1.209 (SCr > 0.7 mg/dL). In our urine test, “-” means “no proteinuria”, and 1+ indicates 30 mg/dL (< 0.5 g/day) and 2+ 100 mg/dL (0.5-1 g/day), 3+ 300 mg/dL (1-2 g/day) as well as 4+ more than 1000 mg/dL (more than 2 g/day) and is noted as mild to heavy proteinuria. Proteinuria was defined once 1+ appeared. Progressive CKD was defined as CKD stages 4–5 (GFR ≤ 30 mL/min/1.73 m
2) including ESRD (received maintenance renal replacement therapy or renal transplantation) [
1]. AKI stage 1 without RRT was defined as mild AKI and AKI stage 2–3 was defined as severe AKI.
Groups
All patients who underwent cardiac surgery were divided into AKI and non-AKI groups. AKI groups were subdivided into mild AKI and severe AKI groups and preoperative eGFR ≥90 mL/min/1.73 m2 or preoperative eGFR < 90 mL/min/1.73 m2 groups.
Data collection
We collected basic patient characteristics including age, gender, preoperative comorbidities, cardiac function and renal function. Perioperative data included the type of surgery, cardiopulmonary bypass duration, aortic clamping duration and intraoperative hypotension. Postoperative data included ICU and the length of hospital stay.
Outcomes
The primary endpoint for long-term outcomes was major adverse events (MAE) including all-cause mortality, new dialysis and progressive CKD [
17]. All the surviving patients were followed up at least 3 yrs after surgery by telephone, email or as outpatients.
Statistical analysis
Statistical analysis was conducted with SPSS Statistics for Windows (Version 17.0. Chicago: SPSS Inc.). Normally distributed data are presented as means ± SD; groups were compared using 2 independent sample t-tests or analysis of variance (ANOVA). Nonparametric data are expressed as medians (P25, P75). The Wilcoxon test was used to assess two dependent variables, a nonparametric Mann–Whitney test for independent variables, and a chi-squared test for group comparisons. Multivariate Cox regression analyses were performed to investigate the effects of multiple factors on MAEs. Missing cases were deleted directly. A P-value < 0.05 was considered to be statistically significant.
Discussion
Kellum et.al noted that the development a good definition of renal recovery from AKI should include four main domains: inception (starting point for recovery); magnitude (threshold for recovery); timing (when recovery is assessed), and confounding factors (competing endpoints and interference) [
15].
We found that using the five definitions of renal recovery (ATN, ADQI, Pannu, KDIGO, Bucaloiu), complete renal recovery was mostly derived from mild AKI patients, which accounted for more than 80%, while the majority of patients in the severe AKI group had partial renal recovery. These results involve the first key issue: inception of recovery, because recovery from mild AKI is quite different from severe AKI. The fact is that an increase of SCr in mild AKI can easily reach “complete recovery” after small decreases. When a severe AKI occurred, it is difficult to reach “complete recovery”. Moreover, we found that under five different definitions of complete renal recovery, SCr at discharge in the preoperative eGFR ≥90 mL/min/1.73 m2 group was significantly lower and eGFR at discharge was significantly higher than in the preoperative eGFR < 90 mL/min/1.73 m2 group. So we believe that inception for recovery is not only related to the extent of AKI but is also related to baseline renal function. Until now, all the definitions of renal recovery, except KDIGO criteria, used baseline renal function as a reference. It seems unreasonable that patients with renal dysfunction who recovered from AKI to the former “abnormal” level can be considered as “complete recovery” while patients with normal renal function had better recovery but were not within baseline SCr or eGFR i.e. “incomplete recovery”. The definition of AKI was different for acute and chronic diseases, so it may be more appropriate to make the definition for renal recovery according to the acute and chronic statuses.
In the present study, according to ATN and ADQI criteria, AKI with complete renal recovery was still a risk factor while according to Pannu, KDIGO and Bucaloiu criteria, AKI with complete renal recovery was not a risk factor for 3-year MAE. Our previous study reported that AKI with complete recovery was still a risk factor for long-term death or progressive CKD [
1]. Proliferation of tubular cells may prompt recovery of SCr or eGFR after AKI, but glomerular hyperfiltration, mitochondrial dysregulation, endothelial injury, reduced capillary density and tubulo-interstitial inflammation/fibrosis may be the cause of long-term persistent injury [
18]. Bucaloiu et al. defined “complete recovery” of AKI as eGFR within at least 90% of the baseline eGFR and a follow-up of 3.3 years. The results showed that any stage of AKI was associated with the development of CKD (adjusted HR 1.91, 95% CI: 1.75–2.09) [
8]. Jones et al. defined “complete recovery” of AKI as SCr within > 10% of baseline and a follow-up for 2.5 years. The results revealed that the incidence of CKD in AKI patients was significantly higher than in non-AKI patients (15% vs 3%,
P < 0.05, HR 5.93, 95% CI 4.49–7.84) [
19]. Except in the above mentioned studies, most used criteria for “complete recovery” as a SCr return to within > 50% of baseline (ADQI). This threshold range is so wide that it leads to the result that AKI with complete recovery was still a risk factor for long-term death or CKD, which obviously diminished the importance of “complete recovery”. Our study confirmed that if the threshold criteria can be narrower than KDIGO, Pannu or Bucaloiu, AKI with complete recovery may not be a risk factor for long-term death or CKD and only AKI with partial renal recovery will always be a risk factor. Thus, complete recovery from AKI is very important, which can diminish the relationship between AKI and ESRD.
We tried to find the thresholds for significant renal recovery in relation to 3-year MAEs. The results showed that the cut-off point at which a significant difference in 3-year MAEs was observed was when non-recovery was defined as > 30% and > 0.4 mg/dL above baseline SCr, or < 70% of baseline eGFR (Fig.
1). For a long time, the most commonly used fixed threshold for “complete recovery” was eGFR at discharge ≥60 mL/min/1.73 m
2 (KDIGO criteria), because anything below this level is defined as CKD [
6]. Considering that it was not suitable for patients with previous renal dysfunction, ADQI recommended a recovery threshold of 50% above baseline for “complete recovery” [
7], but Pannu et al. found that mortality differences became significantly different between groups when recovery was defined as within 55% of the baseline. However, a value within 25% of baseline was associated with an increased risk if the endpoint was ESRD [
9], a result similar to our findings.
Timing is also a critical factor in recovery, which can determine if it is a “true” recovery. Timing can refer to how persistent an episode of AKI is or how sustained the recovery is or when recovery is assessed. Chawla et al. defined five different recovery patterns from AKI and found the most common was early reversal that was sustained throughout discharge (26.6%), followed by late reversal after day 7 (9.7%), early reversal with one or more relapses but with ultimate recovery (22.5%) and relapse without recovery (14.7%). Relapses are associated with a 5-fold increased risk of death at 1 year compared to early sustained reversal [
20].
The Cox regression model used in our study showed that age, BMI, diabetes, New York heart association (NYHA) > II, severity of AKI and RRT were all independent risk factors for 3-year MAEs. Chawla et al. designed prediction models for progression to stage 4 CKD, which included age, severity of AKI, time at risk and baseline serum albumin concentrations, and the results showed good predictive accuracy (‘c’ 0.81–0.82) in a model validation [
21]. However, the progression from AKI to CKD was “dose” related. The long-term outcome will become worse when the AKI stage is more severe or the episode of AKI is longer or the kidney received more insults, which should be considered in prediction models. As a retrospective study, we acknowledge the limitations of our study. It was impossible for us to record the persistence of AKI episodes or if the recovery was sustained, an issue which requires further long term studies.
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