Abstract
Background
Contrast-induced acute kidney injury (CI-AKI) is a major adverse effect caused by intravascular administration of iodinated contrast medium. Whether there is a difference in CI-AKI incidence between iso-osmolar (IOCM) and low-osmolar contrast media (LOCM) among diabetic patients is controversial.
Methods
Randomized controlled trials comparing the nephrotoxic effects between IOCM and LOCM in diabetic patients with or without CKD (eGFR< 60 ml/min/1.73 m2) were included in the analysis. The incidence of CI-AKI was defined as an initial increase in serum creatinine (SCr) concentration of at least 0.5 mg/dl or a rise in creatinine of 25% from baseline.
Results
A total of 2190 patients were included, among whom 1122 patients received IOCM and 1068 received LOCM. When compared to LOCM, IOCM had no significant benefit in preventing CI-AKI (OR = 1.66, [CI: 0.97–2.84], P = 0.06, I2 = 54%). However, the difference between IOCM and LOCM was found when CI-AKI was defined as an absolute SCr increase (≥0.5 mg/dl) rather than a relative SCr increase (≥25%). Further analysis showed that LOCM resulted in more adverse events.
Conclusions
Whether there is a difference of CI-AKI incidence between IOCM and LOCM in diabetic patients was related to the selected diagnostic criteria. The incidence of adverse events was significantly lower with IOCM when compared with LOCM. Therefore, we suggest that IOCM may be used in diabetic and CKD (eGFR< 60 ml/min/1.73 m2) patients.
Electronic supplementary material
The online version of this article (10.1186/s40644-019-0224-6) contains supplementary material, which is available to authorized users.
Keywords: Acute kidney injury, Diabetes, Contrast media
Background
Contrast-induced acute kidney injury (CI-AKI) is a severe complication of exposure to iodine contrast media for diagnostic or interventional procedure [1], which accounts for increase in morbidity, mortality, length of stay and hospitalization cost [2]. Controversy remains whether certain contrast media types with various osmolarities are associated with a lower risk of CI-AKI [3, 4]. Although much progress has been made to improve the quality of contrast media, acute kidney injury after intravascular contrast administration remains a major concern for clinicians.
The literatures contain conflicting reports about whether IOCM is associated with less risk for CI-AKI than LOCM [3, 5]. According to the international guidelines from both European Society of Urogenital Radiology (ESUR) and the Kidney Disease: Improving Global Outcomes guidelines (KIDGO), Both IOCM and LOCM were recommended in patients with increased risk of CI-AKI [6, 7]. Diabetic (DM) is one of the most important public health challenges in the twenty-first century. [8]. The risk for CI-AKI is significantly increased in patients with chronic kidney disease (CKD), especially when DM coexists [9]. Several studies have focused on the nephrotoxic comparison between IOCM and LOCM in diabetic patients [3, 10, 11]. However, there are still uncertainties on whether there are any significant differences in renal safety between IOCM and LOCM.
We performed a systematic review of randomized, controlled trials (RCTs) to compare the effects of IOCM and LOCM on CI-AKI incidence and the adverse effects in diabetic patients with or without CKD. We hypothesized that with more recent RCTs included in our updating reviews, we could better understand the conflicting results on CI-AKI risk. To our knowledge, this is the first meta-analysis reporting difference in CI-AKI between IOCM and LOCM among DM patients with or without CKD (eGFR < 60 ml/min/1.73 m2).
Methods
Data collection and search strategy
A literature review on published RCTs was performed using PubMed, the Cochrane Library, and Web of Science until June 2017. Search keywords included “iso-osmolar”, “iodixanol”, “visipaque”, “IOCM” and “diabetes” as MeSH and free text terms. In addition, root variations of the mentioned keywords were used in order to improve search outcomes. Related articles were used as well to broaden the search, and the computer search was supplemented with manual searches of the reference lists of all retrieved studies, review articles, and conference abstracts. The systematic review was conducted according to the Preferred Reporting Items in Systematic Reviews and Meta-analysis (PRISMA) guidelines [12].
Study selection
Selected studies included prospective randomized controlled comparisons of CI-AKI incidence between IOCM and LOCM in diabetic patients with or without CKD. We only included full-text articles with at least two arms of parallel comparisons. Non-randomized controlled studies, studies exploring CI-AKI incidence during procedures other than diabetes, editorials, letters to the editor, reviews, animal experimental studies and those only published as conference abstracts were excluded. Two reviewers independently screened titles and abstracts to identify articles for inclusion. If necessary, the full texts of articles were reviewed. Discrepancies remained after reviewing the full-text were resolved by consensus. At random intervals during screening, quality checks were performed to ensure that inclusion criteria were applied in consistence. All researches were limited to studies in humans.
Outcomes
The primary outcome was the incidence of CI-AKI in subjects receiving IOCM versus LOCM. CI-AKI is defined by an initial increase in SCr concentration of at least 0.5 mg/dl or by a relative increase of at least 25% from baseline within 36–72 h after exposure. The numbers of adverse events in the two aforementioned groups were the secondary outcome of this study.
Data extraction and quality assessment
For every included study, information including study characteristics, study population, imaging procedure type, comparisons, results, and statistical analysis were obtained by one researcher. The extracted information was confirmed for accuracy by another researcher. Discrepancies between the two researchers were resolved by consensus. Trial bias risk and quality assessment of all RCTs were conducted according to the Cochrane collaboration criteria, which pay emphasis on evaluating adequacy of sequence generation, allocation sequence concealment, blinding of participants and caregivers, blinding for outcome assessment, incomplete outcome, selective outcome reporting, and other potential bias. Discrepancies were resolved by consensus.
Statistical analysis
All analyses were performed using Review Manager (RevMan) Version 5.3 for Windows (Oxford, England). Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocols (PRISMA-P) criteria were used for analysis [13]. Continuous and dichotomous variables were compared by the weighted mean difference (WMD) and odds ratio (OR) respectively.
Chi-square and the I2 statistic that describe the percentage of total variation across studies were used to assess heterogeneity. I2 value ranges from 0% (no heterogeneity) to 100% (maximal heterogeneity). Chi-square p-values of < 0.1 and I2 > 50% or 0.5 mean significant heterogeneity. DerSimonian and Laird’s random-effect model was applied for analysis when heterogeneity among studied were high. A P value ≤0.05 was considered significant. Publication bias and skewness were evaluated graphically using a funnel plot. Subgroups analyses for comparisons between iodixanol and specific types of LOCM (eg, iohexol) or between specific groups of patients (i.e., those receiving arterial or intravenous injection, use of NAC, volume of contrast media, with or without CKD and those with or without coronary angiography) were outlined before data collection. Post hoc subgroup analyses of studies stratified by the definition of CI-AKI (i.e., > 0.5 mg/dL or > 25% increase from baseline creatine value) were performed when data were available.
Results
Identification of studies
Two hundred twenty two potential studies were included in initial search, among which 186 were eliminated based on the titles and abstracts. Remaining articles were identified by scanning through abstracts and excluded based on whether or not including CI-AKI incidence rates in diabetic patients. One article was identified through other references. Fifteen RCTs that compared IOCM to LOCM fulfilled our inclusion criteria (Additional file 1: Figure S1).
Characteristics of selected clinical trials
All 15 trials used iodixanol as IOCM, iopromide, iopamidol, iohexol, ioversol, and ioxaglate were used as LOCM. Baseline characteristics of the included15 RCTs were presented in Table 1. All data were acquired from diabetic patients with or without CKD. The definition of CI-AKI differed among the trials. CI-AKI was defined as an absolute increase of baseline creatinine by at least 0.5 mg/dl or as a relative increase by at least 25% in most studies. A few studies used both definitions.
Table 1.
Baseline characteristics of all trials
Primary outcome
To evaluate CI-AKI incidence of IOCM and LOCM in diabetic patients. A total of 2190 patients were included in 15 trials [3, 10, 11, 14–25], among whom 1122 patients used IOCM and 1068 received LOCM. When compared to LOCM, IOCM was not associated with a significantly lower incidence of CI-AKI (OR = 1.66, CI: 0.97–2.84, P = 0.06, I2 = 54%) (Fig. 1). There was no significant difference of peak increase in one-week serum creatinine between LOCM and IOCM (P > 0.05) (Additional file 2: Figure S2). However, the difference between IOCM and LOCM was found when CI-AKI was defined as an absolute SCr increase (≥0.5 mg/dl) (Fig. 2), rather than a relative SCr increase (≥25%) (Additional file 3: Figure S3).
Fig. 1.
Comparison of the outcomeof CI-AKI between IOCM and LOCM. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown
Fig. 2.
IOCM vs. LOCM for the outcome of CI-AKI (defined by an initial increase in SCr concentration of at least 0.5 mg/dl within 36–72 h of exposure). Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown
We further performed subgroup analysis based on use of different type of LOCM, contrast volume, N-acetylcysteine (NAC), eGFR, route of administration, and the examination of coronary angiography. The subgroups defined before data collection were based on uniformly reported information. No definitive evidence of a difference in CI-AKI incidence between different types of LOCM was observed (Additional file 4: Figure S4). There was also no significant difference of CI-AKI incidence in terms of volume of contrast media (Additional file 5: Figure S5). There were emerging data showing that use of NAC had no protective effect in the preprocedural preparations, our study showed similar results (Additional file 6: Figure S6) in diabetic patients. We also found that there was no difference in CI-AKI incidence among studies including all CKD patients versus those individuals without CKD (Additional file 7: Figure S7). Furthermore, subgroup analysis based on route of administration (Additional file 8: Figure S8) and the examination of coronary angiography (Additional file 9: Figure S9) did not show any statistically significant difference.
Secondary outcome
To evaluate adverse events induced by IOCM and LOCM in diabetic patients, we selected 7 studies including adverse events. The results showed that there was lower risk of adverse events in IOCM, compared with LOCM in diabetic patients (Fig. 3).
Fig. 3.
IOCM vs. LOCM for the outcome of adverse events. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown
Investigation of heterogeneity and publication bias
We performed subgroup analysis to explore the effect of IOCM and LOCM on CI-AKI incidence, the analysis was stratified according to patients’ characters and other factors. In brief, there was no significant difference of CI-AKI incidence between IOCM and LOCM. Funnel plots for some key outcomes (Additional file 12: Table S1) suggested there was publication bias among these studies (Additional files 10 and 11: Figures S10-S11.
Discussion
This meta-analysis of 15 RCTs including 2190 patients comparing the effect between IOCM and LOCM on the incidence of CI-AKI in diabetic patients shown that the use of IOCM has no significant benefit over LOCM in preventing CI-AKI in diabetic patients with or without CKD when CI-AKI was defined as an absolute SCr increase (≥0.5 mg/dl) or a relative SCr increase (≥25%). However, when CI-AKI was defined as an absolute increase of SCr (≥0.5 mg/dl), the CI-AKI incidence of IOCM was lower than that of LOCM. More importantly, IOCM was associated with lower risk of adverse events, compared with LOCM.
CI-AKI is a major adverse effect caused by intravascular administration of iodinated contrast media. In the NEPHRIC trial, more than 130 patients who had CKD and DM performing angiography were prospectively randomized to receive either iodixanol or iohexol, iodixanol is a safer agent, at least in those at higher risk of CI-AKI (defined by an initial increase in SCr level ≥ 0.5 mg/dl), such as those with chronic renal failure due to diabetes mellitus [3]. In contrast, other studies demonstrated that there existed no significant difference in CI-AKI incidence (defined by an initial increase in SCr level ≥ 0.5 mg/dl) between IOCM and LOCM in high risk patients [11]. Studies comparing nephrotoxicity of IOCM and LOCM reported a controversial conclusion [26–28]. A prior meta-analysis suggested that IOCM had no significant difference in the incidences of post-procedure hemodialysis or death over LOCM [29]. Our meta-analysis found no statistical significance of CI-AKI risk with iodixanol compared with LOCM in diabetic patients based on two diagnostic criteria. But IOCM seems safer when referring to an absolute SCr increase and adverse events which indicated that LOCM indeed had an increased nephrotoxic potential compared to iodixanol. Therefore, our results indicated IOCM would be safer in diabetic and CKD patients. Whether there is a significant difference of LOCM and IOCM induced AKI is related with the use of different diagnostic criteria.
We further did subgroup analysis. In the meta-analysis, we did not see any definitive evidence showing difference in CI-AKI incidence between IOCM and LOCM regardless of patient characteristics (with or without CKD) or contrast media volume. Our study confirmed the result from Kooiman et al. that there seemed to be no association between volume of contrast media and CI-AKI [30]. As other studies, use of IOCM showed non-significant benefit in preventing CI-AKI when compared to LOCM in high risk patients [21, 28]. We also found no difference in CI-AKI risk with iodixanol compared with a diverse group of LOCM. However, Reed et al. found iodixanol had a lower CI-AKI incidence when compared with iohexol or ioxaglate, similar result was not obtained between the comparison of IOCM with iopromide, iopamidol, iomeprol, or ioversol [31]. The possible reasons may be that different types of patients were included. Subgroup analysis based on administration route showed the pooled relative risk for the intra-arterial route was 1.57 (CI, 0.82–3.03; P = 0.17) and 1.99 (CI, 0.58–6.87; P = 0.27) for the intravenous route, suggesting no difference in CI-AKI risk between route of administration. This result was consistent with Eng J’s findings [32]. NAC has long been used as a method to prevent CI-AKI. However, our results indicated that use of NAC showed no protective effect of CI-AKI in diabetic patients, which were similar with other studies [33, 34]. A recent study showed ionic LOCM ioxaglate was associated with a numerically lower one-year mortality than iodixanol in patients with cardiac catheterization [35], which were inconsistent with our results. Therefore, future studies evaluating long-term safety following exposure to different types of contrast media in diabetic patients are warranted.
Strength and limitations
Up to date, this is the first systematic review and meta-analysis making comparison between IOCM and LOCM on renal safety in diabetic patients. All included studies are RCTs, accounting for very low risk of selection bias. Despite the comprehensiveness and the robust statistical methods in our study, we still have some limitations. First, results of our study are based on the combined data of many heterogeneous randomized, controlled trials. Second, varied definitions of CI-AKI were used in some studies, however, we used only standard definitions according to KDIGO or ESUR guidelines. Third, data could not be fully extracted because of missing information as in any meta-analysis. We tried to contact the studies’ corresponding authors but unfortunately failed. At last, there were evidences of publication bias in some of the subgroup analysis, and therefore the results should be interpreted with caution. The number of included RCTs was limited by the presence of literatures comparing effects of IOCM and LOCM on DM and above inclusion.
Conclusions
In conclusion, whether there is a difference of CI-AKI incidence between IOCM and LOCM in diabetic patients was related to the selected diagnostic criteria. And the incidence of total adverse events was significantly lower with IOCM when compared with LOCM, such as ischemic stroke events, cardiovascular events, rash, burn sensation in the throat, nausea, vomiting, edema, oliguria, progression to end-stage renal disease and so on. We suggest that IOCM may be used in diabetic and CKD (eGFR< 60 ml/min/1.73 m2) patients. This study will provide a scientific guide for clinicians to choose the type of contrast agent in diabetic and CKD patients. However, multi-centers prospective randomized controlled trials are still necessary to evaluate effect of IOCM and LOCM on CI-AKI incidence and long-term outcome in diabetic and CKD patients.
Additional files
Figure S1. Flow chart of evidence research and selection. (TIF 2140 kb)
Figure S2. IOCM vs. LOCM for the outcome of one-week peak SCr increase. Mean difference for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 2613 kb)
Figure S3. IOCM vs. LOCM for the outcome of CI-AKI (defined by a relative increase of at least 25% from baseline within 36–72 h of exposure). Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 1747 kb)
Figure S4. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on different types of LOCM. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 11257 kb)
Figure S5. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on contrast of volume. Mean difference for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 2726 kb)
Figure S6. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on using of NAC. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 3317 kb)
Figure S7. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on eGFR. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 3727 kb)
Figure S8. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on route of administration. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 3626 kb)
Figure S9. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on whether or not CAG was performed. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 3397 kb)
Figure S10. Risk of bias summary: review authors' judgements about each risk of bias item for each included study (TIF 4669 kb)
Figure S11. Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies. (TIF 8393 kb)
Table S1. Effect of IOCM and LOCM on CI-AKI incidence among diabetic patients. (TIF 2221 kb)
Acknowledgements
We thank Ping Yan and Hong-Shen Wang, MD of Central South University for reviewing the manuscript.
Abbreviations
- CAG
Coronary angiography
- CI
Confidence interval
- CI-AKI
Contrast-induced acute kidney injury
- CKD
Chronic kidney disease
- DM
Diabetes mellitus
- eGFR
Estimated glomerular rate
- ESUR
European Society of Urogenital Radiology
- IA
Intraarterial administration
- IOCM
Iso-osmolar contrast media
- IV
Intravenous administration
- KIDGO
The Kidney Disease: Improving Global Outcomes
- LOCM
Low-osmolar contrast media
- NAC
N- acetylcysteine
- OR
Odds ratio
- PRISMA-P
Systematic reviews and meta-analysis protocols criteria
- RCTs
Randomized controlled trials
- RevMan
Review Manager
- SCr
Serum creatinine
- WMD
Weighted mean difference
Authors’ contributions
FZ and RL conceived the study, searched databases, selected studies, extracted data, and wrote the draft of the manuscript. SKY provided advice on meta-analysis methodology, analyzed the data, and contributing to writing, reviewing, or revising the manuscript. SKY and JG did the statistical analyses. XWL and YQX helped search databases, selected studies, selected studies, extracted and analyzed data, and contributed to writing the manuscript. ML and WC selected studies, contributed to the discussion, and reviewed and edited the manuscript. SBD conceived the study, helped develop search strategies, contributed to the discussion and writing, reviewing, and revising the manuscript. All authors read and approved the final manuscript.
Funding
This work was supported by the National Natural Science Foundation of China (No. 81570618, 81873607).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Fei Zhao and Rong Lei contributed equally to this work.
Contributor Information
Fei Zhao, Email: zfei1205@csu.edu.cn.
Rong Lei, Email: 765478847@qq.com.
Shi-Kun Yang, Email: ysk_1234@163.com.
Min Luo, Email: xyeyyluomin@qq.com.
Wei Cheng, Email: 706582628@qq.com.
Ye-Qing Xiao, Email: 383119510@qq.com.
Xu-Wei Li, Email: 535464388@qq.com.
Jun Guo, Email: 1184366550@qq.com.
Shao-Bin Duan, Email: duansb528@csu.edu.cn.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1. Flow chart of evidence research and selection. (TIF 2140 kb)
Figure S2. IOCM vs. LOCM for the outcome of one-week peak SCr increase. Mean difference for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 2613 kb)
Figure S3. IOCM vs. LOCM for the outcome of CI-AKI (defined by a relative increase of at least 25% from baseline within 36–72 h of exposure). Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 1747 kb)
Figure S4. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on different types of LOCM. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 11257 kb)
Figure S5. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on contrast of volume. Mean difference for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 2726 kb)
Figure S6. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on using of NAC. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 3317 kb)
Figure S7. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on eGFR. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 3727 kb)
Figure S8. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on route of administration. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 3626 kb)
Figure S9. IOCM vs. LOCM for the outcome of CI-AKI: subgroup analysis based on whether or not CAG was performed. Odds ratio for individual studies (squares) and meta-analysis (diamonds) and 95% CI (horizontal lines) are shown. (TIF 3397 kb)
Figure S10. Risk of bias summary: review authors' judgements about each risk of bias item for each included study (TIF 4669 kb)
Figure S11. Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies. (TIF 8393 kb)
Table S1. Effect of IOCM and LOCM on CI-AKI incidence among diabetic patients. (TIF 2221 kb)
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.