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Erschienen in: European Radiology 12/2022

Open Access 21.06.2022 | Contrast Media

Risk of acute kidney injury after contrast-enhanced computerized tomography: a systematic review and meta-analysis of 21 propensity score–matched cohort studies

verfasst von: Mikal Obed, Maria Magdalena Gabriel, Eva Dumann, Clara Vollmer Barbosa, Karin Weißenborn, Bernhard Magnus Wilhelm Schmidt

Erschienen in: European Radiology | Ausgabe 12/2022

Abstract

Objectives

Intravenous application of contrast media is part of a wide spectrum of diagnostic procedures for better imaging quality. Clinical avoidance of contrast-enhanced imaging is an ever-present quandary in patients with impaired kidney function. The objective of this study was to estimate the risk for acute kidney injury (AKI), dialysis and mortality among patients undergoing contrast-enhanced CT compared to propensity score–matched controls (i.e. contrast-unenhanced CT). Selected cohort studies featured high-risk patients with advanced kidney disease and critical illness.

Methods

This review was designed to conform to the Preferred Reporting Items in Systematic Reviews and Meta-Analysis (PRISMA) guidelines. PubMed was searched from August 2021 to November 2021 for all-language articles without date restriction. A random-effects model (DerSimonian and Laird method) was used for meta-analysis.

Results

Twenty-one articles were included, comprising data of 169,455 patients. The overall risk of AKI was similar in the contrast-enhanced and unenhanced groups (OR: 0.97 [95% CI: 0.85; 1.11], p = 0.64), regardless of baseline renal function and underlying disease. Substantial heterogeneity was detected (I2 = 90%, p ≤ 0.0001). Multivariable logistic regression identified hypertension (p = 0.03) and estimated glomerular filtration rate (eGFR) ≤ 30 mL/min/1.73 m2 (p = 0.0001) as factors associated with greater risk of post-contrast AKI.

Conclusions

Based on propensity score–matched pairs obtained from 21 cohort studies, we found no evidence for increased risk for AKI, dialysis or mortality after contrast-enhanced CT among patients with eGFR ≥ 45 mL/min/1.73 m2. In congruence with the emerging evidence in the literature, caution should be exercised in patients with hypertension and eGFR ≤ 30 mL/min/1.73 m2.

Key Points

The application of contrast media for medical imaging is not associated with higher odds for AKI, induction of renal replacement therapy, or mortality. Many comorbidities traditionally associated with greater risk for acute kidney injury do not appear to predispose for renal decline after contrast media exposure.
Underlying hypertension and eGFR less than or equal to 30 mL/min/1.73 m2 seem to predispose for post-contrast acute kidney injury.
Propensity score matching cannot account for unmeasured influences on AKI incidence, which needs to be addressed in the interpretation of results.
Begleitmaterial
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s00330-022-08916-y.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AKI
Acute kidney injury
AKIN
Acute Kidney Injury Network
CA-AKI
Contrast-associated acute kidney injury
CI-AKI
Contrast-induced acute kidney injury
CIN
Contrast-induced nephropathy
CM
Contrast media
SCr
Serum creatinine
CT
Computed tomography
KDIGO
Kidney Disease: Improving Global Outcomes
RIFLE
Risk, injury, failure, loss of kidney function, and end-stage kidney disease
95%CI
95% confidence interval
PS
Propensity score
PSM
Propensity score matching
CKD
Chronic kidney disease

Introduction

Contrast-induced nephropathy (CIN), also known as contrast-associated acute kidney injury (CA-AKI) or contrast-induced acute kidney injury (CI-AKI), is defined as a rapid decline of renal function within days following intravascular exposure to contrast media (CM) [1, 2]. CA-AKI is traditionally suggested to be a leading cause of hospital-acquired acute kidney injury (AKI), presenting 12% of all cases [3]. The absolute and relative definitions of CA-AKI are diverse. Most commonly, it is characterized by an absolute increase in serum creatinine (SCr) levels of ≥ 0.3 mg/dL or ≥ 0.5 mg/dL from baseline. It can also be defined as a relative SCr increase of more than 25% of baseline or 1.5 times baseline within 1–3 or 4–5 days after intravenous or intra-arterial CM application [46]. By definition, no factors other than previous CM exposure can provide sufficient explanation for the renal decline [7, 8]. Post-contrast AKI is strongly associated with short- and long-standing adverse and potentially irreversible outcomes [9, 10].
Contrast-enhanced computed tomography (CT) is an indispensable component of medical imaging. Although low- and iso-osmolar contrast agents are generally considered safe, their intravenous administration for greater imaging quality and diagnostic accuracy has been assumed one of the most frequent causes of AKI in clinical practice [7].
However, numerous cohort studies have challenged this historic belief by using the propensity score (PS) to match CM–exposed subjects with unexposed controls. Propensity score matching (PSM) is an analytical approach to estimate the weight of CM exposure on the incidence of AKI [11]. Applying logistic regression, patients are matched according to similar distributions of baseline characteristics [11, 12]. Studies applying the PS have revealed equal rates of AKI in matched cohorts (i.e. CM exposed and unexposed), pointing out the underestimated role of underlying comorbidities in the development of AKI. Thus, it is suggested that the dreaded deterioration of kidney function following contrast-enhanced imaging might have been falsely attributed to CM rather than the susceptibility of particular patient collectives.
The objective of this systematic review and meta-analysis was to determine the risks of acute nephropathy in patients undergoing contrast-enhanced CT compared with demographically similar controls undergoing contrast-unenhanced CT. As secondary outcomes of interest, we evaluated the risks of dialysis and mortality in patients with CM–enhanced and unenhanced CT.

Materials and methods

Protocol and registration

The protocol for this systematic review was registered at the International Prospective Register of Systematic Reviews (PROSPERO) under the identification number 197088, and was accepted on September 6, 2020.
Two investigators (M.O. and B.M.W.S.) reviewed all English-language publications in Cochrane Library, PubMed and MEDLINE using the search terms “propensity score AND contrast media“ and “(AKI OR nephropathy) AND (iodinated contrast OR contrast media OR CT OR angiography) AND propensity score” with no date restrictions. Data extraction was performed until November 2021, using a predefined set of inclusion and exclusion criteria. In case of differing results between both researchers, a third (K.W.) and a fourth (E.D.) investigator reviewed and adjudicated the results.

Eligibility criteria

All studies reporting on the effects of CM exposure on AKI incidence using a propensity score–matching model were considered for inclusion. Eligible studies required two arms: one group of patients undergoing CM–enhanced CT and a control group undergoing unenhanced CT. Studies were included for meta-analysis if AKI was defined by Acute Kidney Injury Network (AKIN); Kidney Disease: Improving Global Outcomes (KDIGO); Risk, Injury, Failure, Loss of kidney function, and End-stage Kidney Disease (RIFLE); or contrast-induced nephropathy (CIN) criteria [1316]. The presence of SCr measurements or glomerular filtration rates (GFRs) before and after CT scans was required for inclusion. No age restriction was applied. Trials comparing different doses of the same intervention or applying re-randomization of the same sample (i.e. crossover design) and trials that lacked either PSM or a proper comparator arm were excluded. Studies reporting on solitary kidneys or procedures other than CT scans were also excluded. The same applied to patient cohorts undergoing multiple CT scans within 72 h. Systematic reviews and meta-analyses were excluded; however, the references of all identified reviews were searched for additional citations [1719].

Study selection and data collection process

The data of selected studies was independently extracted by three investigators (M.O., M.M.G., C.V.B.). In case of discrepancies on study findings, outcomes were discussed (with E.D., supervised by B.M.W.S. and K.W.), and consensus was established. Points of discussion included the handling of articles with mixed CM pathways (i.e. intravenous and intra-arterial), overlapping study populations, differing matching models and the consideration of multiple AKI criteria in the same study.
Our initial search identified 297 publications (Fig. 1). After duplicates were removed, the remaining 99 articles were reviewed by title, leading to the exclusion of 58 records. The remaining 41 articles were screened by abstract. All papers fulfilling the inclusion criteria (n = 26) were assessed by full-text review. Potential doubling or reutilization of study populations was thoroughly checked. Ultimately, 21 articles were selected for final data extraction, comprising data of 169,455 patients undergoing CT.

Data items and statistical analyses

The number of subjects and the study type were retrieved for each study (Table 1). Additionally, the applied matching ratios (i.e. 1:1, 1:3), type of study population (e.g. general population, septic patients) and applied AKI definition (i.e. AKIN, KDIGO, RIFLE or CIN) were identified. The Newcastle–Ottawa Scale was implemented to assess the risk of bias [20]. The calculated scores were converted to the Agency for Healthcare Research and Quality (AHRQ) standards, marking the risk of bias as unclear, high, moderate or low. Cochrane’s Q and I2 were used to indicate the heterogeneity between studies, and a funnel plot was applied to examine the risk of publication bias. A random-effects model (DerSimonian and Laird method) was used to calculate pooled odds ratios (ORs) for primary (i.e. AKI) and secondary outcomes (i.e. dialysis, death) in CM–exposed and unexposed cohorts [21]. Additional meta-regression analysis was performed to determine heterogeneity by patient-related factors (e.g. age, gender, comorbidities).
Table 1
Study characteristics and study populations
 
Study type
AKI definition
Matching method
Study population
Number of exposed
Number of controls
Odds ratio (OR) [95% confidence interval]
Davenport, 2013a
RCS
AKIN*
1:1
General inpatient population
10,121
10,121
0.96 [0.87 to 1.06]
Davenport, 2013°
RCS
AKIN
1:1
General inpatient population
8826
8826
1.02 [0.91 to 1.15]
Ehrmann, 2013
PCS
CIN+
1:1
ICU patients
146
146
1.00 [0.38 to 2.66]
McDonald, 2013
RCS
CIN
1:1
General inpatient population
10,686
10,686
0.94 [0.83 to 1.07]
McDonald, 2015°
RCS
AKIN
1:1
CKD patients
1639
1639
0.78 [0.64 to 0.95]
Hinson, 2016
RCS
AKIN
N/A^
ED patients
7201
5499
0.75 [0.66 to 0.85]
Tao, 2017
RCS
AKIN
1:1
Nephrotic syndrome patients
543
543
0.54 [0.32 to 0.91]
Chaudhury, 2018
RCS
CIN
1:1
CKD patients
200
200
1.00 [0.63 to 1.58]
Latcha, 2018
RCS
RIFLE&
1:1
Cancer patients
2252
2252
0.98 [0.85 to 1.12]
Ellis, 2019
RCS
AKIN
1:1
Patients with stage IIIb–V CKD
599
599
1.23 [0.91 to 1.67]
Goto, 2019
RCS
KDIGO§
1:1
Septic patients
100
100
0.96 [0.54 to 1.71]
Hinson, 2019
RCS
KDIGO
N/A
Septic patients
1464
976
0.75 [0.56 to 1.0]
Puchol, 2019
RCS
AKIN
N/A
ED patients
6642
6193
0.73 [0.64 to 0.83]
Williams, 2019
RCS
KDIGO
1:1
ICU patients
2306
2306
1.09 [0.94 to 1.26]
Gilligan, 2020
RCS
AKIN
1:1
Pediatric patients
925
925
0.92 [0.51 to 1.64]
Elias, 2021
RCS
AKIN
1:1
Patients with suspected pulmonary embolism
969
969
1.00 [0.79 to 1.27]
Guo, 2021
RCS
KDIGO
1:1
Infants and young children undergoing cardiac surgery
159
159
1.09 [0.68 to 1.76]
Gorelik, 2021
RCS
KDIGO
1:1
General inpatient population
11,664
11,664
0.86 [0.78 to 0.95]
Kene, 2021
RCS
AKIN
1:1
Emergency patients with chronic kidney disease
5589
5589
1.68 [1.49 to 1.90]
Su, 2021
RCS
KDIGO
N/A
Emergency patients
10,143
11,921
1.36 [1.25 to 1.49]
Yan, 2021
RCS
AKIN
1:1
Hospitalized acute kidney injury patients
1172
1172
0.86 [0.64 to 1.15]
*Acute Kidney Injury Network (AKIN) Definition: Absolute increase of ≥ 0.3 mg from baseline serum creatinine at 48 to 72 hours
+Contrast-induced nephropathy (CIN) definition by the European Society of Urogenital Radiology:  absolute SCr increase of 0.5 mg/dL or > 25% of the baseline within 72 h of contrast administration
§Kidney Disease: Improving Global Outcomes (KDIGO) definition: absolute SCr increase of ≥ 0.3 mg/dL (26.5 μmol/L) from baseline serum creatinine within 48 h or > 1.5-fold from baseline within 7 days
&Risk, Injury, Failure; Loss, End-Stage Renal (RIFLE) definition of AKI: relative increase of 1.5–1.9 over baseline SCr at 48 to 72 h or glomerular filtration rate (GFR) decrease of > 50%
° Studies not included in the main analysis
^ Not applicable
All analyses were performed using Comprehensive Meta-Analysis (CMA, Version 2.2.064) and R 4.0.2.

Results

The initial literature search identified 297 articles fulfilling our inclusion criteria. After performing full-text article workups, 26 studies were initially declared eligible for inclusion. In the course of our statistical analysis, we detected a high degree of overlapping samples in the studies by Davenport et al and McDonald et al, respectively. In order to address single author bias and increased subject weighting, we decided to remove all duplicates and consider only one study of each author. Based on the largest sample size, the studies from Davenport et al from 2013 [22] and McDonald et al from 2013 [23] were chosen for meta-analysis. As both studies lacked further subdivision into eGFR groups, the 2013 study by Davenport et al [24] and 2015 article by McDonald et al [25] were chosen for the analysis of cohorts with eGFR less than or equal to 30 mL/min/1.73 m2.
Ultimately, 21 studies were selected for final data extraction and analysis, six of which consisted of general population cohorts [2227] (Table 1). Two studies focused on critically ill [28, 29] and two on pediatric patients [30, 31]. Four studies consisted of patients admitted via emergency department [3235]; one study examined nephrotic syndrome patients [36]; two focused on patients with chronic kidney disease (CKD) [37, 38]; and two on patients hospitalized with AKI [39, 40]. Two groups studied septic [38, 41] and one cancer patients [42]. AKI was defined by RIFLE criteria in 1 study; by AKIN in 11 studies; by KDIGO criteria in 6 studies, and by CIN criteria in 3 studies. If studies applied AKIN and CIN criteria to define AKI, the 2007 definition by AKIN was preferred over CIN. Each study comprised two cohorts that were assigned by PSM. Here, 17 studies (80%) applied a 1:1 matching ratio. Low-osmolar contrast agents were administered in 14 studies (70%), iso-osmolar CM in one study (5%) and a combination of both in five studies (25%). One study (5%) did not specify the type of CM used. The use of high-osmolar CM was declared by none.

Effects of contrast media administration on kidney function

Overall, 7425 AKI events were detected in 60,367 patients with CM exposure and 7346 events in 51,980 controls (Table 2). There was a tendency towards lower odds of AKI in CM–exposed cohorts compared with unexposed controls (OR 0.97 [0.85; 1.11], p = 0.64) (Fig. 2). Substantial heterogeneity was detected (I2 = 90.1%, Q = 40.74, p ≤ 0.0001).
Table 2
Acute kidney injury (AKI), dialysis and mortality in exposed and control populations
Study
AKI in exposed
AKI in control
Dialysis in exposed
Dialysis in control
Mortality in exposed
Mortality in control
Davenport, 2013
835
867
N/A
N/A
N/A
N/A
Davenport, 2013a
619
606
N/A
N/A
N/A
N/A
Ehrmann, 2013
8
8
3
4
N/A
N/A
McDonald, 2013
515
544
N/A
N/A
N/A
N/A
McDonald, 2015
215
266
12
8
189
218
Hinson, 2016
488
488
27
49
N/A
N/A
Tao, 2017
22
40
16
21
0
0
Chaudhury, 2018
48
48
N/A
N/A
N/A
N/A
Latcha, 2018
529
538
N/A
N/A
N/A
N/A
Ellis, 2019
106
89
N/A
N/A
N/A
N/A
Goto, 2019
34
35
26
23
17
17
Hinson, 2019
106
92
N/A
N/A
N/A
N/A
Puchol, 2019
475
593
N/A
N/A
N/A
N/A
Williams, 2019
444
414
10
6
N/A
N/A
Gilligan, 2020
22
24
N/A
N/A
N/A
N/A
Elias, 2021
158
158
9
12
N/A
N/A
Guo, 2021
50
47
N/A
N/A
0
0
Gorelik, 2021
817
939
60
45
1000
985
Kene, 2021
738
464
39
17
397
475
Su, 2021
1105
981
500
564
N/A
N/A
Yan, 2021
91
105
27
39
46
56
Since the risk for AKI after CM exposure is presumably higher among patients with impaired kidney function, we performed additional subgroup analysis by aggregating data from patients with eGFR ≤ 30 mL/min/1.73 m2 (Fig. 3). Here, we detected a significantly higher risk of AKI in CM–exposed patients compared with unexposed controls (OR: 1.68 [1.29; 2.19], p = 0.0001; 55; I2 = 42%, Q = 10.3, p = 0.1125) (Fig. 3). Notably, the absolute risk increase in CM–exposed patients with eGFR ≤ 30 mL/min/1.73 m2 remains rather low (334/1757, 19% vs. 863/5698, 15%) with an absolute risk increase of 4%.

Meta-regression analysis

To further explore possible origins of heterogeneity, we performed meta-regression analyses for 7 relevant covariates (Table 3). Here, a larger proportion of patients with hypertension was associated with higher odds for AKI after CM exposure (p = 0.03) (Fig. 4). Other clinically plausible variables related to the use of CM showed no significant influence on AKI rates. Therefore, hypertension and eGFR less than or equal to 30 mL/min/1.73 m2 likely are conditions accounting for the observed heterogeneity (Figs. 3 and 4).
Table 3
Results of meta-regression (mixed-effects regression)
Covariates
n studies
Mixed-effects model
p value
Point estimate
Standard error
 
Female gender (%)
11
0.02
0.01
0.15
CHF (%)
11
0.00
0.00
0.88
Diabetes mellitus (%)
10
0.01
0.1
0.2
CKD (%)
11
0.00
0.00
0.88
Hypertension (%)
8
0.01
0.00
0.03
GFR < 60 (%)
9
0.01
0.01
0.31
GFR < 30 (%)
11
0.00
0.01
0.0001

Effects of contrast media on dialysis and mortality

A total of 1517 patients from 11 studies required renal replacement therapy after CM exposure, including 729 cases from the CM–exposed cohorts (n = 18,493) and 788 from the control groups (n = 11,202). No significant difference in the rate of dialysis was observed between CM exposed and controls (OR: 0.97 [0.75; 1.25]; p = 0.81) (Table 2).
Further, 3400 deaths were reported in 7 studies (n = 10,312), including 1649 cases among 8030 CM–exposed patients (13%) and 1751 fatal events in 2282 controls (13%). No significant difference in mortality was detected between the CM groups and controls (OR: 0.94 [0.86; 1.03]; p = 0.18) (Table 2).

Serum creatinine measurements for AKI diagnosis

Our selected studies applied different observation periods to diagnose AKI after CT imaging. Here, SCr levels were acquired within 24 h [22, 24, 29], 48 h [22, 24, 30, 31], 72 h [22, 24, 26, 42] or 96 h after the index CT scan [28, 37]. In three studies, the window for post-contrast SCr measurement reached from 48 to 72 h [33, 34, 41], one of which added a second time point between 48 h and 1 week. One group measured the SCr levels for 1 month after index CT [40], while one study refrained from defining the time period [39].
The frequency of SCr measurements following contrast-based imaging differed markedly among our studies. While three groups obtained only one SCr level after imaging [32, 33, 41], two studies measured at least three early SCr values in each 24-h period for the first 72 h after index CT [22, 24]. Eight groups reported more than one SCr measurement without disclosing the exact number [24, 26, 32, 39, 4346]. For the remaining studies, the number of measurements was not disclosed [23, 25, 27, 30, 31, 34, 35, 38].

Risk of bias within studies

The Newcastle–Ottawa Scale indicated a low risk of bias for all studies according to the AHRQ standard (Table 4). The funnel plot (Suppl. Fig. 1) revealed no evidence of relevant publication bias. Because we hypothesized that differences in propensity score–matching methods might introduce between-study heterogeneity, an additional meta-regression analysis was performed to verify the adequacy of matching procedures (Suppl. Fig. 2). Here, we found that the inclusion of more variables in the matching model (range: 3 to 42) was associated with a greater tendency towards similar incidences of AKI between exposed and unexposed groups (p = 0.093).
Table 4
Risk of bias assessment with the Newcastle–Ottawa Scale
 
Selection
Comparability
Outcome
Study and Year
Representative Cohort
Selection of Non-Exposed
Ascertainment of exposure
Outcome not present at outset
Comparability
Outcome assessment
Duration Follow-Up
Adequacy of Follow-Up
Davenport, 2013
*
*
*
*
**
*
*
*
Davenport, 2013a
*
*
*
*
**
*
*
*
Ehrmann, 2013
 
*
*
*
**
*
*
*
Mcdonald, 2013
*
*
*
*
**
*
*
*
Mcdonald, 2015
 
*
*
 
**
*
*
*
Hinson, 2016
 
*
*
*
**
*
*
*
Tao, 2017
 
*
*
 
**
*
*
*
Chaudhury, 2018
*
*
*
 
**
*
*
*
Latcha, 2018
*
*
*
*
**
*
*
*
Ellis, 2019
 
*
*
 
**
*
*
*
Goto, 2019
*
*
*
 
**
*
*
*
Hinson, 2019
*
*
*
 
**
*
*
*
Puchol, 2019
*
*
*
*
**
*
*
*
Williams, 2019
*
*
*
 
**
*
*
*
Gilligan, 2020
*
*
*
*
**
*
*
*
Elias, 2021
*
*
*
*
**
*
*
*
Guo, 2021
 
*
*
* 
**
*
*
*
Gorelik, 2021
 **
*
*
* 
**
*
*
*
Kene, 2021
 
*
*
 
**
*
*
*
Su, 2021
 *
*
*
 *
**
*
*
*
Yan, 2021
 
*
*
 
**
 
*
*
The Newcastle–Ottawa Scales were used to assess the risk of bias for the cohort studies. Each domain was rated on a scale of zero or one star, except comparability, which can be awarded up to two stars. 0 = High or unclear risk of bias; 1 or 2 = Low risk of bias

Discussion

For years, the literature has been shaped by the assumption that post-contrast AKI is attributable to the iodinated CM itself rather than preexisting nephrotoxic risk factors. Building on prior studies, we sought to facilitate clinical decision-making and prevent both over- and underestimation of AKI risk during CT examination. Risk overestimation might deprive patients of clinical benefits of contrast-enhanced imaging out of fear of causing AKI. However, an underestimation could expose patients to preventable nephrotoxic insults with high potential for adverse outcomes.
We performed a systematic review and meta-analysis of 21 cohort studies utilizing a propensity-matched multivariate model, in order to isolate the role of CM exposure on the incidence of post-contrast AKI. In line with the growing body of literature, we found no evidence from state-of-the-art cohort studies for an increased risk for AKI, dialysis or mortality after single administration of CM during CT scan in eGFR groups above 45 mL/min/1.73 m2. These results appear robust, even in subgroups with chronic and critical illness. However, our analysis revealed an increased risk of AKI in patients with eGFR of less than or equal to 30 mL/min/1.73 m2 and hypertensive disease.
Previous studies on CM nephrotoxicity were limited either by a lack of control groups or by absence of adjustments for predisposing risk factors [43, 44, 47, 48]. The study by Moos et al [48] has stood out by including four studies with unexposed controls (out of a total of 41 studies). Retrospective observational studies followed, showing similar rates of AKI following CT examination regardless of CM administration [45, 46]. Moreover, a substantial number of patients without CM exposure displayed changes in SCr levels that would have met the criteria for CIN, had they undergone CM administration [45]. This emphasized the need for a proper comparator arm. Observational controlled studies followed, presenting similar rates of AKI between CM–exposed patients and unexposed controls. Currently, PSM protocols are employed to adjust for patient-related factors (e.g. age, sex) and various underlying comorbidities amongst study cohorts, thereby approximating a randomized distribution. Our study further expands upon contemporary meta-analyses that either partly [49] or entirely [50] lacked matched controls, or featured considerably fewer studies [19].
Our findings reverberate the conflicting data in the adult literature regarding renal risks after intravenous CM administration and prompt a differential analysis for patients with high disease burden.
Assessing a broad range of comorbidities, no other association with higher AKI risk was found. This is particularly noteworthy considering that our study populations featured critically [28, 29, 34, 35] and chronically ill patients [25, 37, 39]. In daily clinical practice, these patients are most likely to experience exclusion from CM–enhanced procedures out of fear of causing contrast-induced AKI. Our findings do not support the clinical avoidance of CM where otherwise indicated. Similarly, van der Molen et al recently demonstrated no need for emergency haemodialysis after administration of iodine-based CM in patients with dialysis-requiring CKD [51]. The observed shift in the medical literature may be explained by adjustments in CM osmolality and administered volumes in recent years.
Similar to other authors, we observed a trend towards lower risk for renal impairment after CM exposure [32, 33]. Puchol et al explained this with the hydration occurring in the course of administering the CM volume, and its subsequent osmotic diuretic effects [32]. Since CM is not nephroprotective, we assume the presence of factors affecting the AKI incidence. These are not easily measurable and, as it seems, not entirely rectified by PSM. Investigators who applied PSM models have reported similar results [52]. Studies cannot consider factors that conceivably bias the decision to administer CM in the first place. Therefore, it remains crucial to consider the possible impact of these variables before and after PSM, in order to avoid misleading inferences of causality. Selection bias may also cause the higher number of AKI among controls (i.e. unenhanced CT). This arises when presumed high-risk patients are excluded from CM exposure under the assumption that CM causes AKI, which precipitates a less healthy control cohort. Likewise, discrepancies in matching methodologies or small sample sizes may contribute to this finding [22]. Conceivably, patients with contrast-enhanced imaging might receive a better fluid management as part of the CM administration protocol.
Our study displays various methodological strengths. We focused on cohort studies originally designed to compare the nephrotoxicity of CM–enhanced CT with unenhanced CT examinations. By restricting the analysis to studies that applied PSM, we further narrowed limitations of inherent biases in observational study designs [53]. Our findings affirm that PSM does not account for all influencing factors and that all outcomes require careful interpretation. However, since randomized controlled trials evaluating post-contrast AKI remain unlikely for ethical reasons, our findings summarize the best available evidence in absence of randomization. By excluding all studies that lacked controls, we further enhanced the rigor of our analysis. AKI diagnosis was made based on internationally recognized guidelines, the anticipated primary event of interest was documented and standardization across all studies was established in terms of design (i.e. observational cohort study), intervention (i.e. CT scan) and primary outcome (i.e. AKI).
To the best of our knowledge, we provide the first and most extensive study that systematically assesses the renal risks after CT examination attributable to CM after controlling for demographic variables. Despite this, we note limitations in our study, which deserve mention. Our data relies on retrospective cohort studies with limited numbers of participants. One study did not disclose the osmolality of CM used. However, based on the recency of publication (i.e. 2019), the use of high-osmolar CM for CT is quite unlikely. Further, neither fluid administration during and after CT nor nephrotoxic medications were consistently documented throughout the studies. This would have been preferable, as hydration is known to reduce the risk of post-contrast renal impairment [51]. With regard to total volumes of injected CM, only weight-adjusted ranges were provided (n = 15). Notably, none of the groups described the flow rate of intravenous CM administration and only eight disclosed CM concentrations. We strongly recommend the disclosure of all periprocedural circumstances for accurate risk estimation and effective periprocedural management.
This also applies to post-contrast serial measurements of SCr in clinical settings. Since AKI is not necessarily associated with permanent changes in renal function, consistent SCr measurement protocols following CM administration would be of great value to improve the diagnostic algorithm in suspected AKI. Diagnostic standardization with longer observation periods may help differentiate between subclinical renal damage and potentially reversible background fluctuations of SCr. Lastly, the majority of studies failed to report AKI stages, which would have been beneficial to understand the severity of kidney injury and show the risk of progression to higher AKI stages.
Currently, no adjunctive medication can effectively prevent or treat post-contrast AKI. Therefore, it remains crucial to anticipate and obviate post-contrast renal decline with comprehensive risk prediction scores and preprocedural volume expansion, even in emergencies and time-sensitive conditions [54]. The clinical practice of withholding CM–enhanced imaging for concern of CI-AKI appears not to be justified. However, despite the low incremental risk, caution remains warranted in individuals with hypertension or eGFR less than or equal to 30 mL/min/1.73 m2.

Declarations

Guarantor

The scientific guarantor of this publication is Professor Bernhard Magnus Wilhelm Schmidt, MD, SM/M.Sc.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors has significant statistical expertise.
Written informed consent was not required, because this work is a systematic review and meta-analysis.

Ethical approval

Institutional Review Board approval was not required, because this work is a systematic review and meta-analysis.

Methodology

• retrospective
• not applicable
• performed at one institution
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Metadaten
Titel
Risk of acute kidney injury after contrast-enhanced computerized tomography: a systematic review and meta-analysis of 21 propensity score–matched cohort studies
verfasst von
Mikal Obed
Maria Magdalena Gabriel
Eva Dumann
Clara Vollmer Barbosa
Karin Weißenborn
Bernhard Magnus Wilhelm Schmidt
Publikationsdatum
21.06.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 12/2022
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-022-08916-y

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