Background/Aims: This meta-analysis evaluated the effects of remote ischemic preconditioning (RIPC) on the risk of contrast-induced nephropathy (CIN) in patients undergoing percutaneous coronary intervention/coronary angiography (PCI/CA). Methods: PubMed, Embase, and the Cochrane Central Register of Controlled Trials databases were searched for randomized controlled trials (RCTs) that assessed the effect of RIPC on CIN in patients undergoing PCI/CA. The main outcomes of interest were the incidence of CIN 48–72 h after CA, the levels of serum creatinine, cystatin C, neutrophil gelatinase-associated lipocalin, and estimated glomerular filtration rate (eGFR), mortality, and requirement of hemodialysis and rehospitalization. The analysis was conducted using the random-effect model due to the expected heterogeneity among different studies. Results: In total, 16 trials covering 2,048 patients were identified. By assessing the methodological quality of the included studies through the Coch-rane risk of bias, we found that of the 16 RCTs, 3 had a low risk of bias, 6 a high, and 7 an unclear risk. The application of RIPC decreased the incidence of CIN (relative risk, RR, 0.50, 95% confidence interval, CI, 0.39–0.65; p < 0.001). Subgroup analyses showed that RIPC decreased the incidence of CIN in patients with eGFR <60 mL/min/1.73 m2 (RR 0.53, 95% CI 0.38–0.75; p < 0.001) but not in patients with eGRF ≥60 mL/min/1.73 m2 (RR 0.82, 95% CI 0.35–1.94; p = 0.66) at baseline. Furthermore, the increase in serum creatinine was significantly lower in patients with RIPC compared to control patients (standardized mean difference –1.41, 95% CI –2.46 to –0.35; p = 0.009). Conclusions: Based on 16 RCTs, this meta-analysis shows that RIPC can reduce the risk of CIN in patients with moderate renal impairment undergoing PCI/CA. However, this needs to be confirmed by further high-quality evidence.

In recent years, the number of percutaneous procedures requiring contrast medium administration has increased exponentially [1]. Contrast-induced nephropathy (CIN) is a common iatrogenic complication of percutaneous coronary intervention (PCI)/coronary angiography (CA), and it is associated with poor cardiovascular and renal outcomes [2, 3]. The most common definitions of CIN in use are an absolute rise of >0.5 mg/dL and/or a relative increase of >25% in serum creatinine compared with baseline within 48–72 h after contrast administration without an alternative cause of kidney injury [4]. The incidence of CIN varies from 2% in the general population to ≥50% in high-risk groups [5]. Clinical surveys have revealed that patients with renal dysfunction are more likely to develop CIN compared to those with normal renal function. Several concomitant risk factors such as old age, diabetes, congestive heart failure, hypertension as well as the type and amount of the contrast agent contribute to the occurrence of CIN [6-8]. As the third most common cause of acute kidney injury (AKI), CIN has been closely linked with the need for dialysis and intensive care unit support, prolonged hospital stay, and significant mortality [9]. There are 2 main pathways to prevent CIN: optimal hydration and use of lower volumes of contrast medium. N-acetylcysteine was probably the most investigated adjunctive therapy, so far failing to prove a significant clinical benefit of preventing CIN [10-13].

Remote ischemic preconditioning (RIPC) seeks to stimulate endogenous protective mechanisms by inducing short intermittent periods of ischemic reperfusion by blocking blood flow in nontarget tissues such as limbs before subsequent episodes of ischemia-reperfusion injury [14, 15]. In 1993, Przyklenk et al. [16] found that preconditioning of the heart confers protection not only to coronary perfusion vessels, but also to remote tissues. Since then, several studies have demonstrated that ischemic preconditioning can protect distal organs or tissues, such as the kidney, small intestine and extremities [17-19]. Therefore, it can be used to protect vital organs that are susceptible to ischemic damage [20]. In recent years, RIPC has emerged as a novel nonpharmacological approach used to prevent CIN. Given that findings from previous investigation on the use of RIPC on CIN have been inconsistent, we designed this meta-analysis to provide a more comprehensive analysis of the previous literature and to determine whether RIPC confers protection to patients undergoing PCI/CA.

Criteria for Study Inclusion

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed in this study [21]. All studies that met the following criteria were included: (i) only randomized controlled trials (RCTs) were enrolled; (ii) the studies contained patients undergoing PCI or CA; (iii) patients were randomized to receive RIPC or sham RIPC therapy; (iv) at least one of the following was reported: the incidence of CIN, the levels of serum creatinine, cystatin C, neutrophil gelatinase-associated lipocalin (NGAL), or estimated glomerular filtration rate (eGFR), mortality, and requirement of hemodialysis and rehospitalization. Studies were excluded if the patients received postischemic conditioning.

Search Strategy

We conducted a literature search on Pubmed, Embase, and Cochrane Central Register of Controlled Trials. The search keywords were: “remote ischemic preconditioning,” “ischemic preconditioning,” “ischemic conditioning,” “acute kidney injuries,” “acute renal injury,” “acute kidney failure,” “acute renal failure,” “acute renal insufficiency,” “acute kidney insufficiency,” and “contrast induced nephropathy.” Search strategies are listed in online supplement 1 (for all online suppl. material, see www.karger.com/doi/10.1159/000507330). We scrutinized the reference lists of all included articles to identify additional studies.

Study Selection and Data Extraction

By examining the titles and/or abstracts of all studies, studies that did not meet the inclusion criteria were excluded. The full texts of studies that met the inclusion criteria were reviewed. The following information was extracted: baseline characteristics, patient information, intervention treatment, and the dose of contrast agent. Also, we extracted outcome data such as the incidence of CIN (as defined in Table 1), the levels of serum creatinine, eGFR, NGAL, and cystatin C, and clinical adverse results (the number of hemodialyses, rehospitalization, and mortality).

Table 1.

Baseline characteristics of included studies

Baseline characteristics of included studies
Baseline characteristics of included studies

Assessment of Risk of Bias

The Cochrane handbook was used to assess the quality of the included studies under the following 6 criteria: (1) adequate sequence generation; (2) allocation concealment; (3) blinding; (4) incomplete outcome data; (5) selective reporting; (6) other bias. These criteria were graded as low, high, or unclear risk of bias according to the text. We inferred that the unclear risk of bias implied that there was no information or uncertainty on the potential of bias. Studies were considered to have a high risk of bias if they contained one criterion classified as high risk of bias; studies were considered to have a low risk of bias only if all criteria had a low risk of bias; studies were rated to have an unclear risk of bias if there was at least one criterion that was viewed as unclear risk of bias and without high risk.

Statistical Analysis

Relative risk (RR), such as the incidence of CIN, was used to report dichotomous data, while standardized mean difference (SMD) with 95% confidence interval (CI) was used to report continuous outcomes such as eGFR, serum creatinine, NGAL, and cystatin C. The analysis was conducted using the random-effect model due to the expected heterogeneity among different studies. Since eGFR <60 mL/min/1.73 m2 is a risk factor for CIN, we conducted a subgroup analysis based on baseline eGRF. Given that the measurement time varied in included RCTs, we conducted a subgroup analysis based on measurement time <48 or ≥48 h after PCI/CA. Since the definition of CIN was inconsistent in the included studies, we performed a sensitivity analysis to confirm the effects of different definitions of CIN on the results. Meanwhile, funnel plots were used to explore publication bias if 10 or more studies were included.

Study Selection

Initially, 956 relevant articles were identified. Based on the inclusion and exclusion criteria, 869 trials were eliminated because they were duplicates, reviews, and basic research or retrospective studies. After scanning the full text of the remaining 87 studies, 16 studies were deemed to be eligible trials [15, 18, 22-35]. The study selection process is outlined in Figure 1.

Fig. 1.

Flow diagram of study selection. CCRCT, Cochrane Central Register of Controlled Trials.

Fig. 1.

Flow diagram of study selection. CCRCT, Cochrane Central Register of Controlled Trials.

Close modal

Study Characteristic and Evaluation of Study Quality

Table 1 shows the characteristics of the included studies. In total, 2,048 patients were identified, among whom 1,405 were male and 643 were female. There were 1,017 and 1,031 patients in the treatment and control groups, respectively. The risks of bias of the included studies are shown in Figure 2. Three studies had a low risk of bias, 6 had a high and 7 were considered to have an unclear bias.

Fig. 2.

Risk of bias graph: review of authors’ judgments about each risk of bias item presented as percentages across all included studies.

Fig. 2.

Risk of bias graph: review of authors’ judgments about each risk of bias item presented as percentages across all included studies.

Close modal

Effect of RIPC on the Incidence of CIN

All the 16 RCTs reported the number of patients suffering from CIN in the RIPC and control groups. The analysis of outcomes demonstrated that RIPC reduced the incidence of CIN compared to the control group (RR 0.50, 95% CI 0.39–0.65; p < 0.001). Subgroup analyses showed that RIPC decreased the incidence of CIN in patients with eGRF <60 mL/min/1.73 m2 (RR 0.53, 95% CI 0.38–0.75; p < 0.001), but not in patients with eGRF ≥60 mL/min/1.73 m2 at baseline (RR 0.82, 95% CI 0.35–1.94; p = 0.66). The incidence of CIN was lower in the RIPC group compared with the control group in the subgroup of measurement time ≥48 h after PCI/CA (RR 0.45, 95% CI 0.33–0.61; p < 0.001) but not in the subgroup of measurement time <48 h (RR 0.64, 95% CI 0.40–1.04; p = 0.07). These results are shown in Figure 3. Moreover, sensitivity analysis, based on the different definitions of CIN, revealed that heterogeneity in the definitions of CIN had little effect on the result (Table 2).

Table 2.

Sensitivity analysis based on the different definitions of contrast-enhanced nephropathy in the included studies

Sensitivity analysis based on the different definitions of contrast-enhanced nephropathy in the included studies
Sensitivity analysis based on the different definitions of contrast-enhanced nephropathy in the included studies
Fig. 3.

Effect of RIPC on the incidence of CIN.

Fig. 3.

Effect of RIPC on the incidence of CIN.

Close modal

Effect of RIPC on Serum Creatinine

Eight studies reported the changes in serum creatinine. As shown in Figure 4, 5 studies were included in this meta-analysis, suggesting that the increase in serum creatinine was significantly lower in patients with RIPC compared to control patients (SMD –1.41, 95% CI –2.46 to –0.35; p = 0.009). Three articles reported the change of serum creatinine in the form of medians with 25th and 75th quartiles. Moretti et al. [27] found that variation in creatinine values at 24 h from baseline showed a statistically significant difference in favor of the RIPC group. However, 2 studies reported that there was no statistically significant difference between the 2 groups in serum creatinine changes 48–72 h after the procedure [22, 35].

Fig. 4.

Effect of RIPC on serum creatinine.

Fig. 4.

Effect of RIPC on serum creatinine.

Close modal

Furthermore, 11 studies reported the levels of serum creatinine after PCI/CA. Eight studies were included in this meta-analysis and the results showed that the serum creatinine level after the procedure in the RIPC group was lower than that of the control group, although the difference was not statistically significant (SMD –0.18, 95% CI –0.37 to 0.02; p = 0.08). Three articles reported serum creatinine in the form of medians with 25th and 75th quartiles. In the study by Er et al. [18], the level of serum creatinine was significantly higher after 48 h in control patients compared to patients with RIPC. Valappil et al. [29] showed that there was a statistically significant reduction in the serum creatinine at 24 h, 48 h, 2 weeks, and 6 weeks in the RIPC group compared to the sham group. However, Ghaemian et al. [22] found that there was no statistically significant difference between the RIPC and control groups in serum creatinine levels 48–72 h after the procedure.

Effect of RIPC on eGFR

Five studies were included in the meta-analysis, and the result showed that there was no difference between RIPC and control groups in eGFR after PCI/CA (SMD 0.10, 95% CI –0.06 to 0.25; p = 0.23; Fig. 5). In addition, 3 studies reported serum creatinine in the form of medians with 25th and 75th quartiles. Two studies reported no statistically significant difference between the RIPC and control groups in eGFR after the procedure [24, 35]. In contrast, Valappil et al. [29] found significant improvement in eGFR after the procedure in the RIPC group compared to the sham one at 24 h, 48 h, 2 weeks, and 6 weeks. Moreover, one study compared the maximum decrease in eGFR between the RIPC group and the control group [32]. In this study, the maximum decrease from baseline in eGFR was higher in the control group than in the RIPC group (p = 0.003).

Fig. 5.

Effect of RIPC on eGFR.

Fig. 5.

Effect of RIPC on eGFR.

Close modal

Effect of RIPC on NGAL

Four studies reported the levels of NGAL after PCI/CA, and 3 of them were included in the meta-analysis. The results showed that the level of NGAL after PCI/CA in the RIPC group was lower compared to that of controls (SMD –0.24, 95% CI –0.49 to 0.00; p = 0.05, Fig. 6). In the study by Er et al. [18], urinary NGAL increased 6 h after contrast medium use by 244.48% in the control group and 178.28% in the RIPC group (p < 0.001). This difference remained after 24 h (p < 0.001) and 48 h (p < 0.001). In addition, 2 articles reported the changes of NGAL in their RIPC and sham groups. Zagidullin et al. [33] found that the NGAL level was lower from baseline in the RIPC group while it was higher from baseline in the sham group after 48 h (p = 0.002). This is inconsistent with Balbir Singh et al. [15] where no significant differences in the changes of NGAL levels were found between RIPC and control groups.

Fig. 6.

Effect of RIPC on NGAL.

Fig. 6.

Effect of RIPC on NGAL.

Close modal

Effect of RIPC on Cystatin C

Five studies reported the levels of serum cystatin C after PCI/CA and 4 of them were included in the meta-analysis. According to the result shown in Figure 7, we observed that the level of cystatin C after the procedure in the RIPC group was lower compared to that of control, although the difference was not statistically significant (SMD –0.49, 95% CI –1.02 to 0.05; p = 0.07). Er et al. [18] reported that serum cystatin C increment 24 and 48 h after CA reflected major renal injury in the control group compared with patients with RIPC (24 h: p < 0.001; 48 h: p < 0.001). In addition, 3 RCTs reported changes in serum cystatin C in the sham and RIPC groups. Zagidullin et al. [33] suggested that the cystatin C level was lower from baseline in the RIPC group while it was higher from baseline in the sham group after 48 h (p = 0.018). However, 2 studies found no statistically significant difference between the 2 groups in serum cystatin C changes after the procedure [22, 30].

Fig. 7.

Effect of RIPC on cystatin C.

Fig. 7.

Effect of RIPC on cystatin C.

Close modal

Effect of RIPC on Clinical Adverse Events

Five articles reported the need for hemodialysis and rehospitalization, while 6 articles reported the outcomes of mortality. The result showed that there was no difference between the RIPC and control groups in mortality (RR 0.69, 95% CI 0.34–1.40; p = 0.31) and the requirement of hemodialysis (RR 0.87, 95% CI 0.27–2.84; p = 0.82) and rehospitalization (RR 0.75, 95% CI 0.49–1.16; p = 0.19; Fig. 8).

Fig. 8.

Effect of RIPC on clinical adverse events.

Fig. 8.

Effect of RIPC on clinical adverse events.

Close modal

Publication Bias

Publication bias was not tested for outcomes except for the incidence of CIN because of the small number of studies (Fig. 9). Funnel plots for the 16 trials exhibited symmetric patterns, suggesting that there was no obvious publication bias for this outcome.

Fig. 9.

Funnel plot of the incidence of CIN.

Fig. 9.

Funnel plot of the incidence of CIN.

Close modal

The main findings of this meta-analysis can be summarized as follows. First, RIPC reduced the incidence of CIN in patients undergoing PCI/CA. Furthermore, subgroup analyses showed that RIPC decreased the incidence of CIN in patients with eGRF <60 mL/min/1.73 m2 but not in patients with eGRF ≥60 mL/min/1.73 m2 at baseline, and the incidence of CIN was lower in the RIPC group compared with the control group in the subgroup of measurement time ≥48 h after PCI/CA, but not in the subgroup of measurement time <48 h. Second, the increase in serum creatinine after the procedure was significantly lower in patients with RIPC compared to control patients. And the levels of NGAL and cystatin C after the procedure in the RIPC group were lower compared to that of controls, although the difference was not statistically significant in cystatin C. Third, RIPC did not have any remarkable effect on eGFR and mortality, and the requirement of hemodialysis and rehospitalization.

Although the pathogenesis of CIN is not completely understood, there is increasing evidence that CIN is the result of renal hypoxia injury and the direct cytotoxicity of contrast agents to the kidney [36]. Renal ischemia and reperfusion injury play an important role in the occurrence of CIN [37, 38]. Furthermore, the formation of free radicals, reactive oxygen species, and inflammatory factors could lead to direct cytotoxicity and renal tubular epithelial apoptosis [39]. Being a novel nonpharmacological approach, RIPC might attenuate the organ damage caused by prolonged ischemia-reperfusion by providing repeated, transient, and mild ischemia-reperfusion in advance. It has been acknowledged that RIPC confers cardioprotection during the ischemia-reperfusion process [40, 41], but at present, its protective effects on renal function are controversial. The results of this study indicate that RIPC can decrease the incidence of CIN in patients undergoing PCI/CA. Furthermore, subgroup analyses showed that RIPC decreased the incidence of CIN in patients with eGRF <60 mL/min/1.73 m2 but not in patients with eGRF ≥60 mL/min/1.73 m2. It is suggested that patients with moderate renal impairment most likely could benefit from RIPC. And the incidence of CIN was lower in the RIPC group compared with the control group in the subgroup of measurement time ≥48 h after PCI/CA but not in the subgroup of measurement time <48 h. It is suggested that the protective effect of RIPC on CIN might be more pronounced over 48 h after PCI/CA. At present, the mechanism of the protective effect of RIPC is still unclear. Some studies have suggested that the mechanism of renal protection by RIPC is that it can play a role in anti-inflammatory, antioxidant, and nerve and humoral pathways by activating a variety of factors [42-44]. Recently studies suggested that RIPC could reduce renal damage in CIN through the activation of the tumor necrosis factor-α/neural factor-κB pathway and then increases the expression of renal enzymes and plays the role of anti-inflammatory, antiapoptosis, and antioxidant protection of the kidney [45].

Cystatin C can freely pass through the glomerular filtration and be fully reabsorbed by renal tubular epithelial cells without returning to the blood. Furthermore, renal tubules do not secrete cystatin C. Therefore, it is not affected by factors such as gender, diet, and body weight. Thus, cystatin C has a higher sensitivity and specificity of the predictive power in the identification of AKI compared to serum creatinine and blood urea nitrogen [46, 47]. In this meta-analysis, we found that the level of cystatin C after the procedure in the RIPC group was lower compared to that of controls, although the difference was not statistically significant. NGAL is a protein released from kidney tubular cells after harmful stimuli. It has been shown that NGAL appears earlier and is more sensitive than creatinine and urea for the diagnosis of AKI [48, 49]. In this meta-analysis, we found that the level of NGAL after the procedure in the RIPC group was lower compared to that of controls, suggesting that RIPC may alleviate renal damage in patients undergoing PCI/CA.

Based on the results of the present meta-analysis, RIPC failed to show a significant effect on eGFR, mortality, and requirement of hemodialysis and rehospitalization. The potential reasons for our negative results about the above outcomes concerned the few studies included in these analyses and the absence of subgroup analyses. Thus, large-scale RCTs are needed to confirm the potential effect of RIPC on eGFR, mortality, and requirement of hemodialysis and rehospitalization during PCI/CA.

So far, 2 meta-analyses have been performed to determine the effect of RIPC on CIN [50, 51]. However, Hu et al. [51] included 10 RCTs with 1,167 patients, and Bei et al. [50] included 7 RCTs with 957 patients, whereas the present study included 16 RCTs with 2,048 patients. Inconsistent with the results of these 2 meta-analyses, 3 recent trials reported that RIPC did not significantly reduce CIN [29, 30, 35]. Here, we included 6 updated additional RCTs to assess the effect of RIPC for CIN in a more comprehensive manner. Since eGFR <60 mL/min/1.73 m2 is a risk factor for CIN, we conducted a subgroup analysis based on baseline eGRF. However, Bei et al. [50] performed the subgroup analysis according to whether the mean eGFR was ≥60 mL/min/1.73 m2, which would introduce some biases in meta-analysis and tend to confuse the result. In addition, because the measurement time varied across the included RCTs, we conducted a subgroup analysis based on measurement time <48 or ≥48 h after PCI/CA. Furthermore, given that the definition of CIN varied in the included studies, we performed a sensitivity analysis to confirm the effects of different definitions of CIN on the result. Sensitivity analysis revealed that different definitions of CIN had little effect on the result. Finally, the present study explored the effects of RIPC on NGAL and cystatin C, which are crucial for the early diagnosis of kidney injury.

Despite the above strengths, there are some limitations. First, there was heterogeneity in eGFR and serum creatinine across the included RCTs as well as heterogeneity in the definition of CIN, which may weaken the results of this meta-analysis. Second, only a few studies were included in analyses for NGAL, cystatin C, eGFR, mortality, and requirement of hemodialysis and rehospitalization. Third, subgroup analysis was performed only for CIN because of inadequate data. Fourth, only 3 articles involved in this study had a low risk of bias and 6 had a high risk. Thus, further large-scale RCTs are needed to confirm these findings.

The application of RIPC to patients with moderate renal impairment undergoing PCI/CA may be an effective method to reduce the risk of the occurrence of CIN. However, this needs to be confirmed by further high-quality evidence.

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed in this study.

All the authors declared no competing interests.

This study was supported by the Natural Science Foundation of Hunan Province (2018JJ3474) and the Scientific Research Subject of Health and Family Planning Commission of Hunan Province (20180227).

J.D., J.O., and H.X. designed the study. Y.L. and J.D. were responsible for acquisition and analysis of data. X.W. and X.S. were responsible for data interpretation. Y.L. and J.D. wrote the manuscript. All authors critically revised the paper and approved the final version.

1.
Langabeer
JR
 2nd
,
Henry
TD
,
Kereiakes
DJ
,
Dellifraine
J
,
Emert
J
,
Wang
Z
, et al.
Growth in percutaneous coronary intervention capacity relative to population and disease prevalence
.
J Am Heart Assoc
.
2013
Oct
;
2
(
6
):
e000370
.
[PubMed]
2047-9980
2.
Narula
A
,
Mehran
R
,
Weisz
G
,
Dangas
GD
,
Yu
J
,
Généreux
P
, et al.
Contrast-induced acute kidney injury after primary percutaneous coronary intervention: results from the HORIZONS-AMI substudy
.
Eur Heart J
.
2014
Jun
;
35
(
23
):
1533
40
.
[PubMed]
0195-668X
3.
Almendarez
M
,
Gurm
HS
,
Mariani
J
 Jr
,
Montorfano
M
,
Brilakis
ES
,
Mehran
R
, et al.
Procedural Strategies to Reduce the Incidence of Contrast-Induced Acute Kidney Injury During Percutaneous Coronary Intervention
.
JACC Cardiovasc Interv
.
2019
Oct
;
12
(
19
):
1877
88
.
[PubMed]
1936-8798
4.
Morcos
SK
,
Thomsen
HS
,
Webb
JA
.
Contrast-media-induced nephrotoxicity: a consensus report. Contrast Media Safety Committee, European Society of Urogenital Radiology (ESUR)
.
Eur Radiol
.
1999
;
9
(
8
):
1602
13
.
[PubMed]
0938-7994
5.
Tepel
M
,
Aspelin
P
,
Lameire
N
.
Contrast-induced nephropathy: a clinical and evidence-based approach
.
Circulation
.
2006
Apr
;
113
(
14
):
1799
806
.
[PubMed]
0009-7322
6.
Barrett
BJ
,
Parfrey
PS
.
Clinical practice. Preventing nephropathy induced by contrast medium
.
N Engl J Med
.
2006
Jan
;
354
(
4
):
379
86
.
[PubMed]
0028-4793
7.
McDonald
JS
,
McDonald
RJ
,
Comin
J
,
Williamson
EE
,
Katzberg
RW
,
Murad
MH
, et al.
Frequency of acute kidney injury following intravenous contrast medium administration: a systematic review and meta-analysis
.
Radiology
.
2013
Apr
;
267
(
1
):
119
28
.
[PubMed]
0033-8419
8.
Fan
Z
,
Li
Y
,
Ji
H
,
Jian
X
.
Efficacy of Oral Nicorandil to Prevent Contrast-Induced Nephropathy in Patients with Chronic Renal Dysfunction Undergoing an Elective Coronary Procedure
.
Kidney Blood Press Res
.
2019
;
44
(
6
):
1372
82
.
[PubMed]
1420-4096
9.
Azzalini
L
,
Candilio
L
,
McCullough
PA
,
Colombo
A
.
Current Risk of Contrast-Induced Acute Kidney Injury After Coronary Angiography and Intervention: A Reappraisal of the Literature
.
Can J Cardiol
.
2017
Oct
;
33
(
10
):
1225
8
.
[PubMed]
0828-282X
10.
Brueck
M
,
Cengiz
H
,
Hoeltgen
R
,
Wieczorek
M
,
Boedeker
RH
,
Scheibelhut
C
, et al.
Usefulness of N-acetylcysteine or ascorbic acid versus placebo to prevent contrast-induced acute kidney injury in patients undergoing elective cardiac catheterization: a single-center, prospective, randomized, double-blind, placebo-controlled trial
.
J Invasive Cardiol
.
2013
Jun
;
25
(
6
):
276
83
.
[PubMed]
1557-2501
11.
Palli
E
,
Makris
D
,
Papanikolaou
J
,
Garoufalis
G
,
Tsilioni
I
,
Zygoulis
P
, et al.
The impact of N-acetylcysteine and ascorbic acid in contrast-induced nephropathy in critical care patients: an open-label randomized controlled study
.
Crit Care
.
2017
Oct
;
21
(
1
):
269
.
[PubMed]
1364-8535
12.
Berwanger
O
,
Cavalcanti
AB
,
Sousa
AM
,
Buehler
A
,
Castello-Júnior
HJ
,
Cantarelli
MJ
, et al.;
Acetylcysteine for Contrast-Induced Nephropathy Trial Investigators
.
Acetylcysteine for the prevention of renal outcomes in patients with diabetes mellitus undergoing coronary and peripheral vascular angiography: a substudy of the acetylcysteine for contrast-induced nephropathy trial
.
Circ Cardiovasc Interv
.
2013
Apr
;
6
(
2
):
139
45
.
[PubMed]
1941-7640
13.
Weisbord
SD
,
Gallagher
M
,
Jneid
H
,
Garcia
S
,
Cass
A
,
Thwin
SS
, et al.;
PRESERVE Trial Group
.
Outcomes after Angiography with Sodium Bicarbonate and Acetylcysteine
.
N Engl J Med
.
2018
Feb
;
378
(
7
):
603
14
.
[PubMed]
0028-4793
14.
Gassanov
N
,
Nia
AM
,
Caglayan
E
,
Er
F
.
Remote ischemic preconditioning and renoprotection: from myth to a novel therapeutic option?
J Am Soc Nephrol
.
2014
Feb
;
25
(
2
):
216
24
.
[PubMed]
1046-6673
15.
Balbir Singh
G
,
Ann
SH
,
Park
J
,
Chung
HC
,
Lee
JS
,
Kim
ES
, et al.
Remote Ischemic Preconditioning for the Prevention of Contrast-Induced Acute Kidney Injury in Diabetics Receiving Elective Percutaneous Coronary Intervention
.
PLoS One
.
2016
Oct
;
11
(
10
):
e0164256
.
[PubMed]
1932-6203
16.
Przyklenk
K
,
Bauer
B
,
Ovize
M
,
Kloner
RA
,
Whittaker
P
.
Regional ischemic ‘preconditioning’ protects remote virgin myocardium from subsequent sustained coronary occlusion
.
Circulation
.
1993
Mar
;
87
(
3
):
893
9
.
[PubMed]
0009-7322
17.
Tapuria
N
,
Kumar
Y
,
Habib
MM
,
Abu Amara
M
,
Seifalian
AM
,
Davidson
BR
.
Remote ischemic preconditioning: a novel protective method from ischemia reperfusion injury—a review
.
J Surg Res
.
2008
Dec
;
150
(
2
):
304
30
.
[PubMed]
0022-4804
18.
Er
F
,
Nia
AM
,
Dopp
H
,
Hellmich
M
,
Dahlem
KM
,
Caglayan
E
, et al.
Ischemic preconditioning for prevention of contrast medium-induced nephropathy: randomized pilot RenPro Trial (Renal Protection Trial)
.
Circulation
.
2012
Jul
;
126
(
3
):
296
303
.
[PubMed]
0009-7322
19.
Zarbock
A
,
Kellum
JA
.
Remote Ischemic Preconditioning and Protection of the Kidney—A Novel Therapeutic Option
.
Crit Care Med
.
2016
Mar
;
44
(
3
):
607
16
.
[PubMed]
0090-3493
20.
Jensen
HA
,
Loukogeorgakis
S
,
Yannopoulos
F
,
Rimpiläinen
E
,
Petzold
A
,
Tuominen
H
, et al.
Remote ischemic preconditioning protects the brain against injury after hypothermic circulatory arrest
.
Circulation
.
2011
Feb
;
123
(
7
):
714
21
.
[PubMed]
0009-7322
21.
Liberati
A
,
Altman
DG
,
Tetzlaff
J
,
Mulrow
C
,
Gøtzsche
PC
,
Ioannidis
JP
, et al.
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration
.
BMJ
.
2009
Jul
;
339
jul21 1
:
b2700
.
[PubMed]
0959-8138
22.
Ghaemian
A
,
Yazdani
J
,
Azizi
S
,
Farsavian
AA
,
Nabati
M
,
Malekrah
A
, et al.
Remote ischemic preconditioning to reduce contrast-induced acute kidney injury in chronic kidney disease: a randomized controlled trial
.
BMC Nephrol
.
2018
Dec
;
19
(
1
):
373
.
[PubMed]
1471-2369
23.
Gholoobi
A
,
Sajjadi
SM
,
Shabestari
MM
,
Eshraghi
A
,
Shamloo
AS
.
The Impact of Remote Ischemic Pre-Conditioning on Contrast-Induced Nephropathy in Patients Undergoing Coronary Angiography and Angioplasty: A Double-Blind Randomized Clinical Trial
.
Electron Physician
.
2015
Dec
;
7
(
8
):
1557
65
.
[PubMed]
2008-5842
24.
Hoole
SP
,
Heck
PM
,
Sharples
L
,
Khan
SN
,
Duehmke
R
,
Densem
CG
, et al.
Cardiac Remote Ischemic Preconditioning in Coronary Stenting (CRISP Stent) Study: a prospective, randomized control trial
.
Circulation
.
2009
Feb
;
119
(
6
):
820
7
.
[PubMed]
0009-7322
25.
Igarashi
G
,
Iino
K
,
Watanabe
H
,
Ito
H
.
Remote ischemic pre-conditioning alleviates contrast-induced acute kidney injury in patients with moderate chronic kidney disease
.
Circ J
.
2013
;
77
(
12
):
3037
44
.
[PubMed]
1346-9843
26.
Luo
SJ
,
Zhou
YJ
,
Shi
DM
,
Ge
HL
,
Wang
JL
,
Liu
RF
.
Remote ischemic preconditioning reduces myocardial injury in patients undergoing coronary stent implantation
.
Can J Cardiol
.
2013
Sep
;
29
(
9
):
1084
9
.
[PubMed]
0828-282X
27.
Moretti
C
,
Cerrato
E
,
Cavallero
E
,
Lin
S
,
Rossi
ML
,
Picchi
A
, et al.
The EUROpean and Chinese cardiac and renal Remote Ischemic Preconditioning Study (EURO-CRIPS CardioGroup I): A randomized controlled trial
.
Int J Cardiol
.
2018
Apr
;
257
:
1
6
.
[PubMed]
0167-5273
28.
Savaj
S
,
Savoj
J
,
Jebraili
I
,
Sezavar
SH
.
Remote ischemic preconditioning for prevention of contrast-induced acute kidney injury in diabetic patients
.
Iran J Kidney Dis
.
2014
Nov
;
8
(
6
):
457
60
.
[PubMed]
1735-8604
29.
Valappil
SP
,
Kunjukrishnapillai
S
,
Viswanathan
S
,
Koshy
AG
,
Gupta
PN
,
Velayudhan
RV
, et al.
Remote ischemic preconditioning for prevention of contrast induced nephropathy-Insights from an Indian study
.
Indian Heart J
.
2018
Nov - Dec
;
70
(
6
):
857
63
.
[PubMed]
0019-4832
30.
Wojciechowska
M
,
Zarębiński
M
,
Pawluczuk
P
,
Gralak-Łachowska
D
,
Pawłowski
L
,
Loska
W
, et al.
Remote Ischemic Preconditioning in Renal Protection During Elective Percutaneous Coronary Intervention
.
Adv Exp Med Biol
.
2018
;
1116
:
19
25
.
[PubMed]
0065-2598
31.
Xu
X
,
Zhou
Y
,
Luo
S
,
Zhang
W
,
Zhao
Y
,
Yu
M
, et al.
Effect of remote ischemic preconditioning in the elderly patients with coronary artery disease with diabetes mellitus undergoing elective drug-eluting stent implantation
.
Angiology
.
2014
Sep
;
65
(
8
):
660
6
.
[PubMed]
0003-3197
32.
Yamanaka
T
,
Kawai
Y
,
Miyoshi
T
,
Mima
T
,
Takagaki
K
,
Tsukuda
S
, et al.
Remote ischemic preconditioning reduces contrast-induced acute kidney injury in patients with ST-elevation myocardial infarction: a randomized controlled trial
.
Int J Cardiol
.
2015
Jan
;
178
:
136
41
.
[PubMed]
0167-5273
33.
Zagidullin
NS
,
Dunayeva
AR
,
Plechev
VV
,
Gilmanov
AZ
,
Zagidullin
SZ
,
Er
F
, et al.
Nephroprotective effects of remote ischemic preconditioning in coronary angiography
.
Clin Hemorheol Microcirc
.
2017
;
65
(
3
):
299
307
.
[PubMed]
1386-0291
34.
Zhou
F
,
Song
W
,
Wang
Z
,
Yin
L
,
Yang
S
,
Yang
F
, et al.
Effects of remote ischemic preconditioning on contrast induced nephropathy after percutaneous coronary intervention in patients with acute coronary syndrome
.
Medicine (Baltimore)
.
2018
Jan
;
97
(
2
):
e9579
.
[PubMed]
0025-7974
35.
Roubille
F
,
Macia
JC
,
Ivanes
F
,
Angoulvant
D
,
Mateus
V
,
Belle
L
, et al.
Effects of remote ischemic conditioning on kidney injury in at-risk patients undergoing elective coronary angiography (PREPARE study): a multicenter, randomized clinical trial
.
Sci Rep
.
2019
Aug
;
9
(
1
):
11985
.
[PubMed]
2045-2322
36.
Sendeski
MM
.
Pathophysiology of renal tissue damage by iodinated contrast media
.
Clin Exp Pharmacol Physiol
.
2011
May
;
38
(
5
):
292
9
.
[PubMed]
0305-1870
37.
Evans
RG
,
Ince
C
,
Joles
JA
,
Smith
DW
,
May
CN
,
O’Connor
PM
, et al.
Haemodynamic influences on kidney oxygenation: clinical implications of integrative physiology
.
Clin Exp Pharmacol Physiol
.
2013
Feb
;
40
(
2
):
106
22
.
[PubMed]
0305-1870
38.
Persson
PB
,
Hansell
P
,
Liss
P
.
Pathophysiology of contrast medium-induced nephropathy
.
Kidney Int
.
2005
Jul
;
68
(
1
):
14
22
.
[PubMed]
0085-2538
39.
Pisani
A
,
Riccio
E
,
Andreucci
M
,
Faga
T
,
Ashour
M
,
Di Nuzzi
A
, et al.
Role of reactive oxygen species in pathogenesis of radiocontrast-induced nephropathy
.
BioMed Res Int
.
2013
;
2013
:
868321
.
[PubMed]
2314-6133
40.
Wang
X
,
Kong
N
,
Zhou
C
,
Mungun
D
,
Iyan
Z
,
Guo
Y
, et al.
Effect of Remote Ischemic Preconditioning on Perioperative Cardiac Events in Patients Undergoing Elective Percutaneous Coronary Intervention: A Meta-Analysis of 16 Randomized Trials
.
Cardiol Res Pract
.
2017
;
2017
:
6907167
.
[PubMed]
2090-0597
41.
Ravingerova
T
,
Farkasova
V
,
Griecsova
L
,
Carnicka
S
,
Murarikova
M
,
Barlaka
E
, et al.
Remote preconditioning as a novel “conditioning” approach to repair the broken heart: potential mechanisms and clinical applications
.
Physiol Res
.
2016
Sep
;
65
Suppl 1
:
S55
64
.
[PubMed]
0862-8408
42.
Heusch
G
,
Bøtker
HE
,
Przyklenk
K
,
Redington
A
,
Yellon
D
.
Remote ischemic conditioning
.
J Am Coll Cardiol
.
2015
Jan
;
65
(
2
):
177
95
.
[PubMed]
0735-1097
43.
Veighey
K
,
MacAllister
R
.
Clinical applications of remote ischaemic preconditioning in native and transplant acute kidney injury
.
Pediatr Nephrol
.
2015
Oct
;
30
(
10
):
1749
59
.
[PubMed]
0931-041X
44.
Zagidullin
N
,
Scherbakova
E
,
Safina
Y
,
Zulkarneev
R
,
Zagidullin
S
.
The Impact of Remote Ischemic Preconditioning on Arterial Stiffness and Heart Rate Variability in Patients with Angina Pectoris
.
J Clin Med
.
2016
Jun
;
5
(
7
):
5
.
[PubMed]
2077-0383
45.
Wang
F
,
Yin
J
,
Lu
Z
,
Zhang
G
,
Li
J
,
Xing
T
, et al.
Limb ischemic preconditioning protects against contrast-induced nephropathy via renalase
.
EBioMedicine
.
2016
Jul
;
9
:
356
65
.
[PubMed]
2352-3964
46.
Dharnidharka
VR
,
Kwon
C
,
Stevens
G
.
Serum cystatin C is superior to serum creatinine as a marker of kidney function: a meta-analysis
.
Am J Kidney Dis
.
2002
Aug
;
40
(
2
):
221
6
.
[PubMed]
0272-6386
47.
Laterza
OF
,
Price
CP
,
Scott
MG
.
Cystatin C: an improved estimator of glomerular filtration rate?
Clin Chem
.
2002
May
;
48
(
5
):
699
707
.
[PubMed]
0009-9147
48.
Devarajan
P
.
Review: neutrophil gelatinase-associated lipocalin: a troponin-like biomarker for human acute kidney injury
.
Nephrology (Carlton)
.
2010
Jun
;
15
(
4
):
419
28
.
[PubMed]
1320-5358
49.
Yeung
AC
,
Morozov
A
,
Robertson
FP
,
Fuller
BJ
,
Davidson
BR
.
Neutrophil Gelatinase-Associated Lipocalin (NGAL) in predicting acute kidney injury following orthotopic liver transplantation: A systematic review
.
Int J Surg
.
2018
Nov
;
59
:
48
54
.
[PubMed]
1743-9191
50.
Bei
WJ
,
Duan
CY
,
Chen
JY
,
Wang
K
,
Liu
YH
,
Liu
Y
, et al.
Remote Ischemic Conditioning for Preventing Contrast-Induced Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions/Coronary Angiography: A Meta-Analysis of Randomized Controlled Trials
.
J Cardiovasc Pharmacol Ther
.
2016
Jan
;
21
(
1
):
53
63
.
[PubMed]
1074-2484
51.
Hu
J
,
Liu
S
,
Jia
P
,
Xu
X
,
Song
N
,
Zhang
T
, et al.
Protection of remote ischemic preconditioning against acute kidney injury: a systematic review and meta-analysis
.
Crit Care
.
2016
Apr
;
20
(
1
):
111
.
[PubMed]
1364-8535

J.D. and Y.L. contributed equally to this work, and they are both first authors.

Open Access License / Drug Dosage / Disclaimer
This article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND). Usage and distribution for commercial purposes as well as any distribution of modified material requires written permission. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.