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Contrast media-induced nephropathy in Tunisia: prospective case-control study with cardio-nephrological monitoring

Contrast media-induced nephropathy in Tunisia: prospective case-control study with cardio-nephrological monitoring

Meriam Hajji1,2,3,&, Hela Jebali3,4,5, Emna Chaabouni2, Khadija Mzoughi2,3, Ihssen Zairi2,3, Sondos Kraiem2,3, Lamia Raies3,4,5, Fethi Ben Hamida1,4, Lilia Ben Fatma3,4,5, Mohammed Karim Zouaghi3,5, Taieb Ben Abdallah1,3

 

1Medicine A Department, Charles Nicolle Hospital, Tunis, Tunisia, 2Cardiology Department, Habib Thameur Hospital, Tunis, Tunisia, 3Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia, 4Laboratory of Renal Pathology LR00SP01, Charles Nicolle Hospital, Tunis, Tunisia, 5Nephrology Department, La Rabta Hospital, Tunis, Tunisia

 

 

&Corresponding author
Meriam Hajji, Medicine A Department, Charles Nicolle Hospital, Tunis, Tunisia

 

 

Abstract

Introduction: vascular opacification using iodinated contrast media (ICM) is often the primary diagnostic and therapeutic approach. However, the risk of post-injection nephrotoxicity of ICM is significantly higher in patients with underlying nephropathy. This study aimed to determine the incidence of Contrast Media Induced Nephropathy (CMIN) and identify predictive factors for its occurrence in patients from a cardiology department.

 

Methods: our prospective study involved 158 patients who underwent coronary angiography or angioplasty at the cardiology department between December 2017 and May 2018. Two types of ICM were used in our study: Iopromide and Iohexol. All patients received either physiological serum (9‰) or bicarbonate serum (14‰) intravenously for hydration. We defined impaired renal function as an increase in creatinine ranging from 10 to 26 µmol/L, while CMIN was defined as an increase in serum creatinine exceeding 26.5 µmol/L. We investigated the factors associated with CMIN using logistic regression analysis.

 

Results: the mean age of our patients was 60 ± 11 years (range: 29-82), with a predominance of men 63.9% (n=101). The most common cardiovascular risk factors were tobacco (36.1%, n = 57), diabetes (48.1%, n =76), hypertension (55%, n = 87). Pre-procedural creatinine averaged 81.1 ± 47.3 µmol / L with extremes ranging from 39 to 600 µmol / L. The median Mehran risk score was 3.2 (range :0- 15). The interventional cardiology act consisted of coronary angiography in 86.2% (n=136) of cases, coronary angioplasty in 2.5% (n=4) of cases. We used iohexol and iopromide in 57.6% (n=91) and 42.4% (n=67) of cases, respectively. The overall incidence of CMIN was 9.5% (n=9). The multivariable regression analysis identified 4 risk factors independently linked to the occurrence of CMIN which were Pre-existing renal failure (OR: 6.05, 95%CI [1.23-29.62], p = 0.026), anemia (OR: 0.043, CI [1.03-8.96], p = 0.043), the toxic dose of PC (OR: 4.7, CI [1.28-17.7], p=0.02), and at a Mehran score = 11 (OR: 3.7, CI [0.88-15.6], p=0.036).

 

Conclusion: the most effective approach for CMIN is prevention, which focuses on addressing modifiable risk factors to minimize the risk especially in patients with pre-existing renal failure.

 

 

Introduction    Down

Contrast media induced nephropathy (CMIN) is the third leading cause of acute renal failure (ARF) in hospital settings, after functional renal failure and drug-related causes [1]. It is also at the origin of the increase in length of intra-hospital stay and of a considerable additional cost. Nosologically, CMIN presents as an ARF that typically occurs between 24 and 72 hours after the ICM injection. The incidence of this complication varies depending on pre-existing risk factors and the characteristics of the ICM injection. It can reach 50% in patients with several risk factors [2]. Three international recommendations concerning the diagnosis, prevention and management of CMIN have been published: that of the European Society of Urogenital Radiology (ESUR) [3], that of the initiative Kidney Disease: improvement of Global Outcome (KDIGO) [4], And finally that of the European Renal Best Practice (ERBP) [5]. These recommendations are the result of the interpretation of studies of in various populations, most of them ambulatory. Therefore, they must be applied taking into account the particular clinical context of each patient. This study aimed to determine the incidence of CMIN, to identify predictive factors for it in a cardiology department and to assess the benefit of a protocol of hydration with bicarbonate serum compared to hydration with physiological serum, taking into account these different recommendations.

 

 

Methods Up    Down

Study design: this is a prospective study involving 158 patients in a cardiology department, during the period from December 2017 and May 2018 (six months). Were included patients aged over 18 years old, who underwent coronary angiography or coronary angioplasty and having medium or high risk of CMIN. Low to Medium risk was defined by an estimated glomerular filtration rate (GFR) between 45 and 60 ml/min without diabetes. High risk: GFR < 45ml/min or 45 < GFR < 60 ml/min with other risk factor. Were excluded, patients at very low risk of CMIN with GFR > 60 ml / min without other risk factors or a single risk factor without renal dysfunction and chronic dialysis patients.

Setting: in our study, two ICM were used, Iopromide (Ultravist 370), a low osmolarity nonionic monomer (i.e. 774 ± 8 mOsm/Kg H2O at 37°C) corresponding to 370 mg of elemental iodine per milliliter and having a viscosity of 10.6 cP at 37°C, Iohexol (Omnipaque 350), a low osmolarity nonionic monomer (i.e. 780 mOsm / Kg H2O at 37°C) corresponding to 350 mg of elemental iodine per milliliter and having a viscosity of 9.5 cP at 37°C. We calculated two predictive ratios for the occurrence of CMIN: the volume injected / creatinine clearance ratio and the ratio of iodine dose in grams / creatinine clearance.

A toxic dose of ICM is defined by a ratio of the volume of contrast administered (ml) to the creatinine clearance in ml / min greater than two [6]. Intra-arterially, the maximum dose of iodine that can be injected is estimated by the formula: grams of iodine = Creatinine clearance in ml/min [7]. Thus, the ratio of iodine dose in grams to creatinine clearance in ml/min must be less than or equal to 1. All patients had received hydration with serum physiological at 9‰ or bicarbonate serum at 14 ‰ intravenously depending on the level of risk of developing nephropathy with iodinated contrast products while respecting the hemodynamic state of patients with left ventricular dysfunction in order to avoid volume overload: Low to medium risk: 45 < DFG < 60 ml / min without diabetes: 100 ml / hour six hours before the examination and 12-24 hours after. High risk: GFR < 45ml / min or 45 < GFR < 60 ml / min with other risk factor: 100 ml / hour 12 hours before the examination and 24 hours after.

Participants: we collected and analyzed the following data: epidemiological and clinical data: age and gender; habits: smoking; medical history: diabetes, hypertension, pre-existing nephropathy and history of ICM injection, ongoing treatments: Metformin, aminoglycosides, diuretics, blokers of renine angiotensine system..., search for abnormalities in the urine sediment by urine test with urine strips (proteinuria, hematuria…), blood pressure and hydration status, echocardiographic data: Left ventricular dysfunction is defined as a left ventricular ejection fraction < 50%. We speak of moderately reduced LVEF for a value between 40 and 49% and reduced LVEF for a value less than 40% [8].

Laboratory analysis: we realized for each patient, the day before the procedure: blood creatinine, urea, complete blood count. Between the 2nd and 5th day after the procedure: blood creatinine.

Procedural data: the indication of the act, the nature of the act, the state of hydration and the level of blood pressure at the time of the act.

Variables: chronic renal failure (CRF) has been defined as a glomerular filtration rate (GFR) less than 60ml/ min/ 1.73m² of body surface area for at least 3 months. The stages of chronic kidney disease (CKD) were defined according to the KDIGO working group in 2012 [4]. The definition adopted of CMIN is that of KDIGO 2012 [4]. CMIN is defined as an increase of 25% and / or 5 mg / l (44 µmol / l) in plasma creatinemia 48 hours after injection of ICM [4]. Glomerular filtration rate (GFR): was estimated using the MDRD formula (Modification of diet in renal disease). The CMIN risk score used in our study is that validated by Mehran et al. [9]. The risk is considered: low if the score = 5, moderate if the score is between 6 and 10, high if the score is between 11 and 15, very high if the score ≥ 16.

Data sources/ measurement: the study patients were divided into 4 groups according to the filling solution and the contrast medium used: Group 1(G1): isotonic physiological serum / Omnipaque; Group 2 (G2): isotonic physiological serum / Ultravist; Group 3 (G3): bicarbonate serum 14% / Omnipaque; Group 4 (G4): bicarbonate serum 14% / Ultravist. The primary endpoint was the occurrence of CMIN defined by an increase in the absolute value of serum creatinine by 5 mg / l (44 µmol / l) or a relative increase of serum creatinine before the injection of the contrast medium by 25%, and this within 48 to 72 hours after the exam [8]. Study size: Our study population, divided into 4 groups of patients as previously defined, comprises respectively G1 (n=47), G2 (n=33), G3 (n=44) and G4 (n=34).

Statistical methods: data entry was performed using Microsoft Excel software, and statistical analysis was conducted using SPSS 22.0 statistical software. Qualitative variables are presented as frequencies and percentages. Quantitative variables are presented as mean, median, standard deviation (SD) with the range of values. Mean comparisons: Comparisons of two means for independent samples were conducted using the independent samples t-test. In cases of small sample sizes, the non-parametric Mann-Whitney U test was used. Percentage comparisons: Comparisons of percentages for independent samples were performed using Pearson's chi-square test. In cases where the chi-square test was not valid or for comparing two percentages, the bilateral Fisher's exact test was used. The significance threshold was set at p < 0.05. To identify risk factors directly associated with the event, a multivariate logistic regression analysis was conducted. Prior to the regression analysis, pairwise associations between the considered factors were tested. Only the factors that showed significant associations were included in the logistic regression model. Logistic regression provided adjusted odds ratios for each factor directly associated with the event, highlighting the specific role of each factor.

 

 

Results Up    Down

General characteristics of the study population

The mean age of our patients was 60 ± 11 years with extremes ranging from 29 to 82 years. The age group between 50 and 69 years was the most represented with 98 patients (62%). The sex ratio M / F was 1.77. The mean pre-procedural serum creatinine was 81.5 ± 47.3 µmol / L (39 -600). The mean GFR was 91.7 ± 28.6 ml / min (8.7 - 195). The mean ejection fraction was 58.3 ± 12.6%. The rest of the clinico-biological and echocardiographic characteristics have been illustrated in Table 1. The distribution of patients according to the level of risk of CMIN according to the Mehran score is illustrated in Figure 1. The mean score in our study population was 3.2 (0 -15). No patient had a very high risk (=16). The indications of the act were distributed as follows in Table 2. The predominant cardiologic procedure including ICM injection was coronary catheterization (86.2%), followed by primary angioplasty (6.9%) then coronary angiography and ad hoc coronary angioplasty (4.4%) and last elective angioplasty (2.5%). At the time of the act the mean systolic blood pressure was 133.5 ± 19.5 mm Hg (100 -190). Fourteen patients (8.8%) presented with signs of dehydration prior to ICM injection. The mean diastolic blood pressure was 75.9 ± 12.7 mm Hg (50 -120).

We used Iohexol in 91 patients (57.6%) versus Iopromide in 67 patients (i.e. in 42.4% of cases). The mean volume of ICM administered during the angiographic procedure was 101.9 +/- 34 ml (40 -250). The volume / clearance ratio was on average 1.2 ± 0.7 with extremes ranging from 0.4 to 6.8. A toxic dose was reached in 14 patients (8.9%). The iodine dose ratio in grams / clearance averaged 0.4 ± 0.2 (0.2 to 2.4). Eighty patients (50.6%) had received physiological saline solution with an average volume of 1.7 ± 0.6 liters and 78 patients had received sodium bicarbonate (49.4%) with an average volume 1.4 ± 0.5 liter. Figure 2 shows the distribution of patients according to prevention measures.

Our study reveals that the incidence of CMIN was 9.5% (n=9). By studying the statistical correlation between the incidence of CMIN according to the medication concomitant with the injection of ICM. No medication was linked to an improvement or worsening of the CMIN risk, namely the taking of metformin, blokers of renine angiotensine system and Aminosid with respectively (p=0.35; p=0.38;p=0.74). There is also no connection between the nature of the procedure and the occurrence of CMIN. We analyzed as well in in the univariable analysis, taking into account the type of used ICM volume injected (p=0.16), volume / clearance ratio (p=0.086) and iodine dose / clearance ratio (p=0.093). Table 3 summarizes the different risk factors as we found that a significant increase in the risk of CMIN. Thus, we recorded 5.7% (n = 9) of CMIN cases for Iohexol vs 3.8% (n = 6) for Iopromide (p = 0.84). On the other hand, the incidence of CMIN in our population increased in line with increased clinical Mehran score (p=0.029) (Figure 3).

The multivariate analysis in logistic regression by the step-by-step top-down method identified 4 risk factors independently linked to the occurrence of CMIN which were toxic dose of ICM, pre-existing renal impairment, Toxic dose of ICM and Mehran score ≥ 11 (Table 4). The incidence of CMIN was respectively 12.7% in G1; 12.1% in G2; 6.8% in G3; 5.8% in G4. There was no significant difference in the incidence of CMIN according to the prevention protocol (p = 0.63) (Figure 4).

 

 

Discussion Up    Down

ICMN results mainly from medullary hypoxia induced by vasoconstriction, itself secondary to an alteration in the metabolism of vasoactive factors such as endothelin and nitric oxide. The hyperosmolality of the ICM further induces hyperviscosity, with rheological consequences resulting in superadded bone marrow hypoperfusion, aggravating the hypoxia. But above all, ICM has a direct tubular toxic effect of through the generation of free radicals. The combination of these two deleterious effects is responsible for tubular lesions which can induce necrosis of epithelial cells [10,11]. ICMN is defined as a degradation of glomerular filtration function after the intra-vascular administration of contrast media [12]. This definition is a subject of controversy and there are no universal recommendations yet [13]. However, we have retained for our study, the consensus definition of KDIGO 2012 [4].

CMIN is currently the third leading cause of hospital-acquired acute renal failure (after renal hypoperfusion and nephrotoxic drugs), accounting for 10-12% of all etiologies of ARF [14,15]. Therefore, our study aimed to determine the incidence of CMIN and identify predictive factors for its occurrence in patients from a cardiology department. Additionally, we assessed the potential benefits of a hydration protocol using bicarbonate serum compared to physiological serum. The incidence of CMIN varies between trials, ranging from 2% to 20% [16-27]. Furthermore, it is worth noting that some cases of CMIN may go unnoticed if routine serum creatinine measurements are not performed after coronary angioplasty. In our study, we observed an incidence of 9.5%, which aligns with the findings reported in the literature.

Age is known as a risk factor for CMIN [7,28] since GFR and tubular secretion decrease with age, the state of relative hypovolaemia often found in elderly patients associated with atherosclerosis of the renal arteries, as well as an underestimation of the pre-existing CRF in this group and therefore a reduced regenerative capacity of renal parenchyma after acute injury [29,30]. In our study, the mean age of the participants was 60 ± 11 years. We did not find a significant association between individuals aged over 70 years and the risk of developing CMIN (p = 0.17). Existing literature suggests that the primary risk factor for CMIN is pre-existing renal failure, with a prevalence ranging from 30% to 55% [29,30]. In our study, 6.9% of patients had pre-existing renal failure. We observed an CMIN incidence of 27.2% in this population, compared to 8.1% in patients with normal renal function (p = 0.024). Patients with diabetic nephropathy have been found to have a doubled risk of developing CMIN, with an incidence as high as 33% [31]. However, in our study, we did not observe a significant difference in the incidence of CMIN between diabetic and non-diabetic patients. This lack of difference could potentially be attributed to the beneficial effect of the hydration protocol prescribed to all of our patients. While impaired cardiac function has been associated with an increased risk of CMIN in various studies [32-34], we did not observe such a correlation in our study population. Additionally, in patients with anemia, the administration of contrast media may enhance the affinity of hemoglobin for oxygen, leading to a limited release of oxygen to peripheral tissues. As a result, local renal hypoxia could be exacerbated following exposure to the contrast agent [35,36].

Some authors have attempted to establish a risk stratification of the CMIN. Thus, different risk scores, related to patients and ICM, have been developed to predict the incidence of CMIN, the need for extra-renal purification as well as the long-term prognosis [37-41]. In our study, a Mehran score ≥ 11 was an independent factor for the occurrence of CMIN. ICMN is primarily caused by medullary hypoxia resulting from vasoconstriction, which is triggered by disruptions in the metabolism of vasoactive factors like endothelin and nitric oxide. Furthermore, ICM has a direct toxic effect on tubular cells by generating free radicals. The combined impact of these two detrimental effects leads to tubular lesions that can potentially cause necrosis of epithelial cells [42,43]. To mitigate these risks, pre-procedural hydration has been recognized as the most crucial measure [44]. By expanding the volume, hydration inhibits the renin-angiotensin-aldosterone system, reduces the release of vasoconstrictors, and diminishes the production of reactive oxygen species. Additionally, hydration helps mitigate the direct toxic effects of contrast media on the kidneys by diluting it and reducing its viscosity within the renal tubules [45]. In our study, there was no significant difference in the incidence of CMIN based on the prevention protocol (p=0.63). Five patients who received hydration with bicarbonate developed CMIN, which accounts for 3.2% of the study population. This incidence, although higher in the saline group (6.3%, n=10), did not reach the threshold of significance (p=0.19).

Strengths of our study include determining the overall incidence of CMIN in patients from the cardiology department, which was found to be 9.5%, indicating the significant association of ICM with the development of CMIN in patients undergoing coronary angiography or angioplasty. We also identified risk factors for CMIN. Our study emphasizes the importance of prevention by addressing modifiable risk factors, implementing hydration protocols for high-risk patients, and reducing the volume of contrast agents used. However, our study has limitations such as a small sample size, limited timeframe, and potential biases that may affect the generalizability of the results. Additionally, creatinine was only measured pre-procedure and on day 2-3, late disclosure of CMINs is still possible until day 10, and serum creatinine is a non-specific marker for evaluating the effectiveness of preventive measures for CMIN. Furthermore, the long-term cardiovascular and nephrological prognosis was not studied.

 

 

Conclusion Up    Down

Our study has identified a significant incidence of CMIN in patients undergoing coronary angiography or angioplasty, particularly in patients with pre-existing chronic renal failure emphasizing the importance of prevention through addressing modifiable risk factors and implementing hydration protocols. However, it warrants further research to validate our findings and assess long-term prognosis. Nonetheless, our study contributes valuable insights into CMIN and its prevention strategies based on our findings.

What is known about this topic

  • Contrast Media Induced Nephropathy (CMIN) refers to the iatrogenic decline in renal function that occurs following the administration of intravascular iodinated contrast media (ICM);
  • It is currently considered the third most common cause of acute renal failure acquired during a hospital stay;
  • Established risk factors for Contrast-Induced Nephropathy (CIN) include dehydration, pre-existing renal disease, cardiac failure, and prior intravascular contrast exposure, which are associated with a high relative risk of developing CIN.

What this study adds

  • Our study aimed to determine the incidence of CMIN and identify predictive factors in our population;
  • We evaluated the nephrological benefits of a hydration protocol using bicarbonate serum compared to physiological serum in patients from a cardiology department;
  • Our study is prospective and includes comparative analysis using both univariate and multivariate methods to identify risk factors associated with CMIN.

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Authors' contributions Up    Down

Hela Jebali, Khadija Mzoughi, Meriam Hajji, Ihssen Zairi conceived and designed the study. Meriam Hajji collected the data and prepared the initial manuscript draft. Emna Chaabouni analyzed and interpreted the results. Lamia Raies, Lilia Ben Fatma. Fethi Ben Hamida reviewed and provided comments on the final version. Mohammed Karim Zouaghi and Taieb Ben Abdallah supervised the work and findings. All authors reviewed and approved the final version of the manuscript.

 

 

Acknowledgments Up    Down

I would like to express my gratitude to the professional and attentive team of technicians in the Cardiac Catheterization Laboratory, as well as the nursing team in the Cardiology Department at Habib Thameur Hospital. Their support made it possible for me to conduct this prospective study despite the occasional material and logistical obstacles.

 

 

Tables and figures Up    Down

Table 1: clinical, biological and echocardiographic characteristics of our study population

Table 2: distribution of patients according to the indications of the procedure

Table 3: incidence of CMIN and risk factors in univariate analysis in our study

Table 4: independent factors associated with the occurrence of CMIN in our study

Figure 1: distribution of patients according to the Mehran score

Figure 2: distribution of patients according to prevention measurement

Figure 3: incidence of CMIN according to the Mehran score

Figure 4: incidence of CMIN in different study groups

 

 

References Up    Down

  1. Nash K, Hafeez A, Hou S. Hospital-acquired renal insufficiency. Am J Kidney Dis. 2002 May;39(5):930-6. PubMed | Google Scholar

  2. McCullough PA, Adam A, Becker CR, Davidson C, Lameire N, Stacul F et al. Epidemiology and Prognostic Implications of Contrast-Induced Nephropathy. Am J Cardiol. 2006 Sep 18;98(6A):5K-13K. PubMed | Google Scholar

  3. Stacul F, van der Molen AJ, Reimer P, Webb JA, Thomsen HS, Morcos SK et al. Contrast Media Safety Committee of European Society of Urogenital Radiology (ESUR). Contrast induced nephropathy: updated ESUR Contrast Media Safety Committee guidelines. Eur Radiol. 2011 Dec;21(12):2527-41 Epub 2011 Aug 25. PubMed | Google Scholar

  4. Kellum JA, Lameire N, Aspelin P, Barsoum RS, Burdmann EA, Goldstein SL et al. Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int. 2012;2(1):1 138 G. PubMed | Google Scholar

  5. Ad-hoc working group of ERBP; Fliser D, Laville M, Covic A, Fouque D, Vanholder R, Juillard L et al. A European Renal Best Practice (ERBP) position statement on the Kidney Disease Improving Global Outcomes (KDIGO) Clinical Practice Guidelines on Acute Kidney Injury: Part 1: definitions, conservative management and contrast-induced nephropathy. Nephrology Dialysis Transplantation. 2012 Dec;27(12):4263-72 Epub 2012 Oct 8. PubMed | Google Scholar

  6. Liu Y, Tan N, Zhou Y-L, He P-C, Luo J-F, Chen J-Y. The contrast medium volume to estimated glomerular filtration rate ratio as a predictor of contrast-induced nephropathy after primary percutaneous coronary intervention. Int Urol Nephrol. 2012 Feb;44(1):221-9. PubMed | Google Scholar

  7. Nyman U, Björk J, Aspelin P, Marenzi G. Contrast medium dose-to-gfr ratio: a measure of systemic exposure to predict contrast-induced nephropathy after percutaneous coronary intervention. Acta Radiol. 2008 Jul;49(6):658-67. PubMed | Google Scholar

  8. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2016 Aug;18(8):891-975 Epub 2016 May 20. PubMed | Google Scholar

  9. Mehran R, Aymong ED, Nikolsky E, Lasic Z, Iakovou I, Fahy M et al. A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention. J Am Coll Cardiol. 2004 Oct 6;44(7):1393-9. PubMed | Google Scholar

  10. Tepel M, Aspelin P, Lameire N. Contrast-Induced Nephropathy: A Clinical and Evidence-Based Approach. Circulation. 2006 Apr 11;113(14):1799-806. PubMed | Google Scholar

  11. Guillon B, Ecarnot F, Marcucci C, Ducloux D, Chatot M, Badoz M et al. Incidence, Predictors, and Impact on Six-Month Mortality of Three Different Definitions of Contrast-Induced Acute Kidney Injury After Coronary Angiography. Am J Cardiol. 2018 Apr 1;121(7):818-824. PubMed | Google Scholar

  12. Berns AS. Nephrotoxicity of contrast media. Kidney Int. 1989 Oct;36(4):730-40. PubMed | Google Scholar

  13. Levy EM, Viscoli CM, Horwitz RI. The effect of acute renal failure on mortality. A cohort analysis. JAMA. 1996 May 15;275(19):1489-94. PubMed | Google Scholar

  14. Chalikias G, Drosos I, Tziakas DN. Contrast-Induced Acute Kidney Injury: An Update. Cardiovasc Drugs Ther. 2016 Apr;30(2):215-28. PubMed | Google Scholar

  15. Han Y, Zhu G, Han L, Hou F, Huang W, Liu H et al. Short-Term Rosuvastatin Therapy for Prevention of Contrast-Induced Acute Kidney Injury in Patients With Diabetes and Chronic Kidney Disease. J Am Coll Cardiol. 2014 Jan;63(1):62-70 Epub 2013 Sep 26. PubMed | Google Scholar

  16. Li W, Fu X, Wang Y, Li X, Yang Z, Wang X et al. Beneficial Effects of High-Dose Atorvastatin Pretreatment on Renal Function in Patients with Acute ST-Segment Elevation Myocardial Infarction Undergoing Emergency Percutaneous Coronary Intervention. Cardiology. 2012;122(3):195-202 Epub 2012 Jul 31. PubMed | Google Scholar

  17. Leoncini M, Toso A, Maioli M, Tropeano F, Villani S, Bellandi F. Early high-dose rosuvastatin for contrast-induced nephropathy prevention in acute coronary syndrome: Results from the PRATO-ACS Study (Protective Effect of Rosuvastatin and Antiplatelet Therapy On contrast-induced acute kidney injury and myocardial damage in patients with Acute Coronary Syndrome). J Am Coll Cardiol. 2014 Jan;63(1):71-9 Epub 2013 Sep 26. PubMed | Google Scholar

  18. Tasanarong A, Hutayanon P, Piyayotai D. Urinary Neutrophil Gelatinase-Associated Lipocalin predicts the severity of contrast-induced acute kidney injury in chronic kidney disease patients undergoing elective coronary procedures. BMC Nephrol. 2013 Dec 5;14:270. PubMed | Google Scholar

  19. Liebetrau C, Gaede L, Doerr O, Blumenstein J, Rixe J, Teichert O et al. Neutrophil gelatinase-associated lipocalin (NGAL) for the early detection of contrast-induced nephropathy after percutaneous coronary intervention. Scand J Clin Lab Invest. 2014 Mar;74(2):81-8. PubMed | Google Scholar

  20. Liu Y, Liu Y, Chen J, Zhou Y, Chen Z, Yu D et al. LDL cholesterol as a novel risk factor for contrast-induced acute kidney injury in patients undergoing percutaneous coronary intervention. Atherosclerosis. 2014 Dec;237(2):453-9 Epub 2014 Oct 17. PubMed | Google Scholar

  21. Abaci O, Arat Ozkan A, Kocas C, Cetinkal G, Sukru Karaca O, Baydar O et al. Impact of Rosuvastatin on Contrast-Induced Acute Kidney Injury in Patients at High Risk for Nephropathy Undergoing Elective Angiography. Am J Cardiol. 2015 Apr 1;115(7):867-71 Epub 2015 Jan 14. PubMed | Google Scholar

  22. Singhal G, Pathak V, Kumar M. Incidence of contrast induced acute kidney injury in patients undergoing percutaneous coronary intervention in North Indian population. J Indian Coll Cardiol. 2015 Apr 1;115(7):867-71 Epub 2015 Jan 14. PubMed | Google Scholar

  23. Kolte D, Spence N, Puthawala M, Hyder O, Tuohy CP, Davidson CB et al. Association of radial versus femoral access with contrast-induced acute kidney injury in patients undergoing primary percutaneous coronary intervention for ST-elevation myocardial infarction. Cardiovasc Revasc Med. 2016 Dec;17(8):546-551 Epub 2016 Jul 21. PubMed | Google Scholar

  24. Sreenivasan J, Khan MS, Li H, Zhuo M, Patel A, Fugar S et al. Statins and Incidence of Contrast-Induced Acute Kidney Injury Following Coronary Angiography - Five Year Experience at a Tertiary Care Center. Cardiovasc Revasc Med. 2019 Aug;20(8):654-658 Epub 2018 Sep 15. PubMed

  25. Azzalini L, Vilca LM, Lombardo F, Poletti E, Laricchia A, Beneduce A et al. Incidence of contrast-induced acute kidney injury in a large cohort of all-comers undergoing percutaneous coronary intervention: Comparison of five contrast media. Int J Cardiol. 2018 Dec 15;273:69-73. PubMed | Google Scholar

  26. Moos SI, van Vemde DNH, Stoker J, Bipat S. Contrast induced nephropathy in patients undergoing intravenous (IV) contrast enhanced computed tomography (CECT) and the relationship with risk factors: A meta-analysis. Eur J Radiol. 2013 Sep;82(9):e387-99 Epub 2013 May 25. PubMed | Google Scholar

  27. Detrenis S, Meschi M, Musini S, Savazzi G. Lights and shadows on the pathogenesis of contrast-induced nephropathy: state of the art. Nephrol Dial Transplant. 2005 Aug;20(8):1542-50. PubMed | Google Scholar

  28. Tehrani S, Laing C, Yellon DM, Hausenloy DJ. Contrast-induced acute kidney injury following PCI. Eur J Clin Invest. 2013 May;43(5):483-90. PubMed | Google Scholar

  29. Araujo GN, Pivatto Junior F, Fuhr B, Cassol EP, Machado GP, Valle FH et al. Simplifying contrast-induced acute kidney injury prediction after primary percutaneous coronary intervention: the age, creatinine and ejection fraction score. Cardiovasc Interv Ther. 2018 Jul;33(3):224-231 Epub 2017 May 24. PubMed | Google Scholar

  30. Chenxi Huang, Shu-Xia Li. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention. JAMA Netw Open. 2019 Nov 1;2(11):e1916021. PubMed | Google Scholar

  31. Nikolsky E, Mehran R, Turcot D, Aymong ED, Mintz GS, Lasic Z et al. Impact of chronic kidney disease on prognosis of patients with diabetes mellitus treated with percutaneous coronary intervention. Am J Cardiol. 2004 Aug 1;94(3):300-5. PubMed | Google Scholar

  32. Kashif W, Khawaja A, Yaqub S, Hussain SA. Clinically significant contrast induced acute kidney injury after non-emergent cardiac catheterization--risk factors and impact on length of hospital stay. J Coll Physicians Surg--Pak JCPSP. 2013 Dec;23(12):842-7. PubMed | Google Scholar

  33. Rosenstock JL, Gilles E, Geller AB, Panagopoulos G, Mathew S, Malieckal D et al. Impact of heart failure on the incidence of contrast-induced nephropathy in patients with chronic kidney disease. Int Urol Nephrol. 2010 Dec;42(4):1049-54 Epub 2010 Jul 4. PubMed | Google Scholar

  34. Remy WF. Geenen, Hylke Jan Kingma, and Aart J. van der Molen. Contrast-induced nephropathy: pharmacology, pathophysiology and prevention. Insights Imaging. 2013 Dec;4(6):811-20. PubMed | Google Scholar

  35. Heyman S, Rosenberger C, Rosen S. Regional alterations in renal haemodynamics and oxygenation: A role in contrast medium-induced nephropathy. Nephrol Dial Transplant Off Publ Eur Dial Transpl Assoc - Eur Ren Assoc. 2005 Feb;20 Suppl 1:i6-11. PubMed | Google Scholar

  36. Lin K-Y, Zheng W-P, Bei W-J, Chen S-Q, Islam SMS, Liu Y et al. A novel risk score model for prediction of contrast-induced nephropathy after emergent percutaneous coronary intervention. Int J Cardiol. 2017 Mar 1;230:402-412 Epub 2016 Dec 26. PubMed | Google Scholar

  37. Andò G, Morabito G, de Gregorio C, Trio O, Saporito F, Oreto G. Age, glomerular filtration rate, ejection fraction, and the AGEF score predict contrast-induced nephropathy in patients with acute myocardial infarction undergoing primary percutaneous coronary intervention. Catheter Cardiovasc Interv Off J Soc Card Angiogr Interv. 2013 Nov 15;82(6):878-85 Epub 2013 Jun 27. PubMed | Google Scholar

  38. Zeng J-F, Chen S-Q, Ye J-F, Chen Y, Lei L, Liu X-Q et al. A simple risk score model for predicting contrast-induced nephropathy after coronary angiography in patients with diabetes. Clin Exp Nephrol. 2019 Jul;23(7):969-981. PubMed | Google Scholar

  39. Brown JR, DeVries JT, Piper WD, Robb JF, Hearne MJ, Ver Lee PM et al. Serious renal dysfunction after percutaneous coronary interventions can be predicted. Am Heart J. 2008 Feb;155(2):260-6. PubMed | Google Scholar

  40. Yin W, Zhou G, Zhou L, Liu M, Xie Y, Wang J et al. Validation of pre-operative risk scores of contrast-induced acute kidney injury in a Chinese cohort. BMC Nephrol. 2020 Feb 10;21(1):45. PubMed | Google Scholar

  41. European Heart Journal. Contrast-induced kidney injury: mechanisms, risk factors, and prevention. European Heart Journal/Oxford Academic. Cité 19 juin 2020].

  42. Heyman SN, Rosen S, Khamaisi M, Idée J-M, Rosenberger C. Reactive Oxygen Species and the Pathogenesis of Radiocontrast-Induced Nephropathy: Invest Radiol. 2010 Apr;45(4):188-95. Google Scholar

  43. Idée JM, Beaufils H, Bonnemain B. Iodinated contrast media-induced nephropathy: pathophysiology, clinical aspects and prevention. 1994;8(3):193-206. Google Scholar

  44. Bartorelli AL, Marenzi G. Contrast-Induced Nephropathy. J Intervent Cardiol. 2008 Feb;21(1):74-85 Epub 2007 Dec 12. PubMed | Google Scholar

  45. Ellis JH, Cohan RH. Prevention of contrast-induced nephropathy: an overview. Radiol Clin North Am. 2009 Sep;47(5):801-11, v. PubMed | Google Scholar

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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