Vol 22, No 1 (2015)
Original articles
Published online: 2015-02-24

open access

Page views 2002
Article views/downloads 1824
Get Citation

Connect on Social Media

Connect on Social Media

_15_CJ_2015_1_Cicek

ORIGINAL ARTICLE

The ratio of contrast volume to glomerular filtration rate predicts in-hospital and six-month mortality in patients undergoing primary angioplasty for ST-elevation myocardial infarction

Gökhan Çiçek1, Mehmet Bozbay2, Sadık Kadri Açıkgoz3, Servet Altay4, Murat Uğur5, Bayram Köroğlu5, Huseyin Uyarel6

1Department of Cardiology, Ankara Numune Education and Research Hospital, Ankara, Turkey

2Department of Cardiology, Marmara University Pendik Research and Training Hospital, Istanbul, Turkey

3Department of Cardiology, Turkiye Yuksek Ihtisas Training and Research Hospital, Ankara, Turkey

4Department of Cardiology, Edirne Devlet Hastanesi, Edirne, Turkey

5Department of Cardiology, Siyami Ersek Center for Cardiovascular Surgery, Istanbul, Turkey

6Department of Cardiology, Faculty of Medicine, Bezmi Alem Vakıf University, Istanbul, Turkey

Address for correspondence: Gökhan Çiçek, MD, Talatpasa Bulvari, 06100, Sihhiye, Ankara, Turkey, tel: +90 312 508 40 00, fax: +90 312 310 34 60, e-mail: drvaristor@hotmail.com

Received: 01.03.2014

Accepted: 19.03.2014

Abstract

Background: The aim of this study is to determine the impact of ratio of contrast volume to glomerular filtration rate (V/GFR) on development of contrast-induced nephropathy (CIN) and long-term mortality in patients with ST-segment elevation acute myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI).

Methods: A total of 645 patients with STEMI undergoing primary PCI was prospectively enrolled. CIN was defined as an absolute increase in serum creatinine > 0.5 mg/dL or a relative increase > 25% within 48 h after PCI. The study population was divided into tertiles based on V/GFR. A high V/GFR was defined as a value in the third tertile (> 3.7).

Results: Patients in tertile 3 were older, had higher rate of smoking, diabetes mellitus and CIN, lower left ventricular ejection fraction, hemoglobin, and systolic and diastolic blood pressure compared to tertiles 1 and 2 (p < 0.05). V/GFR was found an independent predictor of in-hospital and 6-month mortality. We found 2 separate values of V/GFR for 2 different end points. While the ratio of 3.6 predicted in-hospital mortality with 78% sensitivity and 82% specificity, the ratio of 3.3 predicted 6-month mortality with 71% sensitivity and 76% specificity. Survival rate decreases as V/GFR increases both for in-hospital and during 6-month follow-up. Diabetes mellitus and multivessel disease were other predictors of in-hospital mortality.

Conclusions: High V/GFR level is associated with increased in-hospital and long-term mortality in patients with STEMI undergoing primary PCI. (Cardiol J 2015; 22, 1: 101–107)

Key words: contrast-induced nephropathy, contrast volume to glomerular filtration rate ratio, ST-segment elevation myocardial infarction

Introduction

Decreased glomerular filtration rate (GFR) is an important predictor of adverse cardiovascular events in acute coronary syndromes [1–5]. Patients with normal renal functions who undergo percutaneous coronary interventions (PCI) are also at risk of adverse events due to contrast-induced nephropathy (CIN) [6, 7].

Contrast volume is a modifiable major risk factor for CIN and closely related with in-hospital mortality [8–10]. Recently, the ratio of contrast volume to GFR (V/GFR) was found a predictor of increase in creatinine values and CIN following PCI [11–13]. However, the impact of V/GFR on short- and long-term prognosis after primary PCI has not been evaluated so far. Therefore, we aimed to investigate the impact of V/GFR for predicting adverse cardiac events after primary PCI for ST-segment elevation acute myocardial infarction (STEMI) [14].

Methods

Study population

We prospectively enrolled 645 consecutive patients with STEMI who were admitted to the Emergency Department and underwent urgent cardiac catheterization procedures between December 2009 and July 2011. The patients were assigned into tertiles according to their V/GFR. The patients were enrolled into the study if they fulfilled the following criteria: (i) the onset of symptoms presenting within 12 h (typical chest pain lasting for > 30 min); (ii) ≥ 1 mm ST-segment elevation in at least 2 contiguous electrocardiogram (ECG) leads except V2–V3 which required 1.5 mm for female and 2 mm for male patients or new onset left bundle-branch block; (iii) treatment with primary PCI (angioplasty and/or stent deployment). All primary PCI procedures were performed in a single high-volume tertiary center (> 3,000 PCI/year) by expert operators performing more than 75 PCIs per year (15 of them are primary PCI). The study protocol was approved by the Institutional Ethics Committee.

Analysis of patient data

The cardiovascular history, demographic information, and risk factors (diabetes mellitus, smoking, hypertension and hypercholesterolemia) of the patients were obtained from their medical records. Reperfusion time and door-to-balloon time were also recorded. On admission, blood values were obtained from all patients. Serum creatinine was also measured before the angiography procedure and within 48 h afterwards. A 12-lead ECG was recorded in each patient just after hospital admission, and the myocardial infarction type was also obtained from the ECGs. Twenty four to 72 h after revascularization, a transthoracic echocardiography was performed by using system V (Vingmed, GE, Horten, Norway) with a 2.5-MHz phased-array transducer, and the left ventricular ejection fraction (LVEF) was calculated using a modified Simpson’s method [15].

Coronary angiography and PCI

All patients were given a chewable 300 mg aspirin and 600 mg loading dose of clopidogrel before coronary angiography. After the procedure, all patients were prescribed 100 mg of aspirin and 75 mg of clopidogrel daily. Angiographic data of the patients were assessed from the catheter laboratory records. All procedures were performed via femoral route. A nonionic, low osmolar contrast agent (Iopromide, 370 mg/mL Bayer HealthCare Pharmaceuticals Inc., Germany) was utilized in all patients. The artery that was anticipated to be unhindered was injected first. Heparin (100 IU/kg) was administered when the coronary anatomy was first described. After visualizing the left and right coronary arteries, 200 μg of nitroglycerine was selectively injected into the infarct related artery (IRA) to exclude a possible coronary spasm. Angiographic evaluation was made by visual assessment. Primary angioplasty (including balloon angioplasty and/or stent implantation) was performed just for IRA according to lesion type. For each procedure, interventional success at the acute phase was defined as reducing to < 30% of obstruction and stenosis of the IRA with Thrombolysis in Myocardial Infarction 3 flow just after primary angioplasty. The use of tirofiban was left to the discretion of the operator.

Definitions

The time from symptom onset to the coronary reperfusion was defined as time to reperfusion with balloon inflation. Door-to-balloon time was defined as the time between Emergency Department and balloon inflation. Patients were assessed according to Killip clinical examination classification [16]. Advanced heart failure was defined as New York Heart Association (NYHA) class 3 and 4. Non-diabetic patients were defined as the patients without documented diabetes using neither oral hypoglycemic agents nor insulin treatment at admission. Hypercholesterolemia was defined as total cholesterol of at least 200 mg/dL or use of cholesterol-lowering drugs. A family history of coronary artery disease (CAD) was defined as a documented case of CAD in a parent or sibling before 60 years of age. Anemia was defined as hemoglobin concentration lower than 13 mg/dL in men and 12 mg/dL in women. We defined repeat target vessel revascularization as a necessity for PCI or coronary surgery due to restenosis or reocclusion of the IRA. Reinfarction was defined as an elevation of serum creatinine kinase myocardial band level more than 2 times from the upper limit of normal and ST-segment re-elevation.

The estimated GFR (eGFR) was calculated by using the modified Modification of Diet in Renal Disease (MDRD) equation [17]: eGFR (mL/min/1.73 m2) : 186 × (SCr)–1.154 × (age)–0.203 (× 0.742 if women), where SCr defines serum creatinine concentration in milligrams per deciliter as measured immediately before PCI, and age is given in years. The V/GFR ratio was calculated by dividing the volume of contrast medium used during the PCI by the patient’s eGFR. CIN was defined as an increase in SCr by either > 0.5 mg/dL or by > 25% from baseline within the first 2–3 days after contrast medium administration, when another explanations for renal insufficiency have been excluded [18].

Statistical analysis

Analyses were performed using SPSS Statistics, version 17.0 (SPSS Inc, Chicago, IL). To test the distribution pattern, the Kolmogorov-Smirnov method was used. Data were summarized as a mean standard deviation, median and interquartile range, or proportions. The Student’s t-test was used to compare data with normal distribution and the Mann-Whitney U test was applied to compare the data without normal distribution. Categorical variables were compared with the χ2 test. The effects of different variables on clinical outcomes were calculated by univariate analysis for each. The variables for which the unadjusted p value was < 0.10 in Cox regression analysis were identified as potential risk markers and included in the multivariable Cox regression model. An exploratory evaluation for additional cut points of different variables was performed using the receiver operating characteristic (ROC) curve analysis. The survival curve during hospitalization for V/GFR was analyzed using the Kaplan-Meier method, and statistical assessment was performed using the log-rank test. A p value < 0.05 was considered statistically significant for all analyses.

Results

Baseline characteristics of the study population are shown in Table 1.

Table 1. Clinical and hematologic characteristics of ratio of contrast volume to glomerular filtration rate (V/GFR) tertiles.

Variables

V/GFR

P

Tertile 1

(n = 215)

1.34 (1.1–1.6)

Tertile 2

(n = 215)

2.1 (1.9–2.4)

Tertile 3

(n = 215)

3.7 (3.2–4.8)

Age [years]

50.0 ± 10.1

56.6 ± 11.4

62.8 ± 11.8

< 0.001

Male

200 (93%)

183 (85%)

167 (77%)

< 0.001

Female

15 (7%)

32 (15%)

48 (229%)

Diabetes mellitus

32 (15%)

39 (18%)

55 (26%)

0.016

Hypertension

79 (37%)

90 (42%)

96 (45%)

0.240

Peripheral arterial disease

6 (3%)

4 (2%)

7 (3%)

0.655

Post TIMI 1

4 (2%)

3 (1%)

10 (5%)

Post TIMI 2

9 (4%)

11 (5%)

10 (5%)

0.097

Post TIMI 3

202 (94%)

201 (94%)

195 (91%)

Contrast-induced nephropathy

17 (8%)

23 (11%)

48 (22%)

< 0.001

Ejection fraction [%]

45 (40–50)

45 (40–50)

45 (40–50)

0.004

Glucose [mg/dL]

131 (112/169)

137 (113/166)

147 (119/196)

0.007

HDL [mg/dL]

37 (31–43)

38 (31–43)

38 (32–48)

0.147

LDL [mg/dL]

124.8 ± 36.6

122.7 ± 36.4

111.8 ± 37.6

< 0.001

Triglycerides [mg/dL]

148 (100/199)

142 (95/205)

126 (90/176)

0.022

Hemoglobin [g/L]

14.6 (13.6/15.5)

14.1 (13.1/15.1)

13.5 (12.5/14.9)

< 0.001

Total WBC [×109/L]

12.3 (10.3/14.6)

12 (10.1/14)

11.9 (10/14.6)

0.561

Peak CK-MB [U/L]

141 (75–216)

123 (69–211)

149 (81–271)

0.098

Early creatinine [mg/dL]

0.8 (0.7–0.9)

0.9 (0.8–1)

1 (0.85–1.2)

< 0.001

Creatinine clearance [mL/min]

136 (122–166)

106 (89–129)

76 (61–100)

< 0.001

Contrast volume [mL]

200 (100–200)

200 (200–300)

300 (200–400)

< 0.001

Killip class > 1

5 (2.3%)

7 (3.3%)

29 (13.5%)

< 0.001

Heart rate [bpm]

80 (72–84)

80 (70–85)

80 (70-85)

0.835

In-hospital mortality

0 (0%)

4 (2%)

15 (7%)

< 0.001

Six-month mortality

2 (1%)

8 (4%)

24 (11%)

< 0.001

TIMI — Thrombolysis in Myocardial Infarction; HDL — high density lipoprotein; LDL — low density lipoprotein; WBC — white blood cell; CK-MB — creatinine kinase myocardial band

Patients in tertile 3 were older, had higher rate of smoking, diabetes mellitus and CIN, lower LVEF, hemoglobin, and systolic and diastolic blood pressure compared to tertiles 1 and 2 (p < 0.05).

Nineteen patients died during hospital stay and 34 patients died within the first 6 months of the follow-up period. Univariable and multivariable Cox regression analyses revealed CIN (HR 2.99, confidence interval [CI] 1.96–4.02, p < 0.001) and V/GFR (HR 1.07, CI 1.04–1.12, p < 0.001) as the predictors of in-hospital mortality (Table 2).

Table 2. Significant predictors of in-hospital mortality in univariable and multivariable Cox regression analyses.

Variables

Univariable

Multivariable

HR (95% CI)

P

HR (95% CI)

P

Age

1.05 (1.02–1.07)

< 0.001

1.03 (0.95–1.13)

0.245

Male/female

1.02 (0.80–1.19)

0.189

Diabetes mellitus

2.92 (1.97–5.89)

< 0.001

2.01 (1.39–2.64)

< 0.001

Smoking

1.18 (1.11–1.25)

0.001

0.88 (0.75–1.00)

0.122

Killip class > 1

15.2 (6.65–21.7)

< 0.001

7.71 (3.78–23.9)

< 0.001

Ejection fraction

1.51 (0.40–4.66)

< 0.001

2.91 (1.26–6.72)

0.012

Contrast induced nephropathy

4.05 (2.02–6.27)

< 0.001

2.99(1.96–4.02)

< 0.001

V/GFR

1.08 (1.03–1.13)

< 0.001

1.07 (1.04–1.12)

0.001

Low density lipoprotein

1.14 (0.88–1.41)

0.622

Multi vessel disease

2.51 (1.53–3.04)

< 0.001

2.55 (1.74–3.34)

< 0.001

Hemoglobin

1.22 (1.10–1.35)

0.003

1.17 (1.08–1.26)

0.007

HR — hazard ratio; CI — confidence interval; V/GFR — contrast volume-glomerular filtration rate ratio

Diabetes mellitus and multi-vessel disease were the other predictors of in-hospital mortality. CIN (HR 2.17, CI 1.47–2.84, p < 0.001) and V/GFR (HR 1.08, CI 1.02–1.15, p < 0.003) also predicted 6-month mortality (Table 3).

Table 3. Significant predictors of mortality at 6-month follow-up in univariable and multivariable Cox regression analyses.

Variables

Univariable

Multivariable

HR (95% CI)

P

HR (95% CI)

P

Age

1.09 (1.02–1.16)

0.002

1.00 (0.94–1.07)

0.344

Male/female

0.88 (0.77–1.02)

0.207

Diabetes mellitus

3.01 (1.88–4.17)

< 0.001

2.61 (1.89–3.23)

< 0.001

Smoking

1.04 (0.94–1.15)

0.411

Killip class > 1

10.4 (5.71–16.4)

< 0.001

4.64 (3.27–5.18)

< 0.001

Ejection fraction

1.04 (1.02–1.06)

< 0.001

1.02 (1.01–1.03)

0.009

Contrast induced nephropathy

3.84 (2.47–5.22)

< 0.001

2.17 (1.47–2.84)

< 0.001

V/GFR

1.06 (1.01–1.12)

< 0.001

1.08 (1.02–1.15)

0.003

Low density lipoprotein

1.04 (0.84–1.26)

0.577

Multi vessel disease

2.88 (1.85–3.92)

< 0.001

2.61 (1.92–3.53)

< 0.001

Hemoglobin

1.27 (1.13–1.43)

0.001

1.22 (1.10–1.36)

0.024

HR — hazard ratio; CI — confidence interval; V/GFR — contrast volume-glomerular filtration rate ratio

Apart from these findings, presence of diabetes mellitus, multi-vessel disease, and admission Killip class more than 1 independently predicted 6-month mortality.

A ROC curve analysis revealed V/GFR ratio of 3.6 for prediction of in-hospital mortality with 78% sensitivity and 82% specificity (C statics = 0.850, p < 0.001). The V/GFR ratio of 3.3 predicted 6-month mortality with 71% sensitivity and 76% specificity (C statics = 0.790, p < 0.001). Figure 1 shows Kaplan-Meier curves among tertiles for both in-hospital and 6-month mortality which represent worse outcome as the V/GFR increases.

57460.png

Figure 1. Kaplan-Meier curves of ratio of contrast volume to glomerular filtration rate (V/GFR) tertiles for in-hospital [A] and 6-month mortality [B].

Discussion

Our study results showed that V/GFR ratio independently predicted both in-hospital and 6-month mortality in patients undergoing primary PCI. To our knowledge, our study is an original one in terms of evaluating the impact of V/GFR ratio on long-term mortality in STEMI patients undergoing primary PCI.

Patients who present with acute myocardial infarction and decreased GFR have higher mortality rate even after optimal treatment [19]. Presence of calcified atherosclerosis, large vessel remodeling, left ventricular hypertrophy, chronic volume overload, and pressure overload in renal failure was thought to play a role in this situation. Additionally, comorbidities accompanying impaired GFR could explain this higher mortality after acute myocardial infarction [20–22]. Furthermore, cardiovascular medications and invasive therapeutic strategies are underused in patients with poor renal function [4, 22–24]. However, presence of normal renal function may not guarantee favorable outcomes in terms of CIN and renal deterioration following coronary angiography is still possible. The kidneys are vulnerable to contrast-induced toxicity during primary PCI, but the mechanism and role of contrast agents in the pathogenesis of acute renal damage remain controversial and are not completely understood. Direct contrast-related toxicity and renal ischemia may play an important role due to circulatory impairment. An increase in serum creatinine during the acute phase of STEMI may be an indicator for more severe and extensive atherosclerosis and circulatory instability. Impaired renal function and radiographic contrast volume are important risk factors for development of CIN. Above all, the risk of CIN augments as the GFR values decrease [25]. As a major clinical determinant, the development of CIN is strongly associated with increased morbidity and mortality [26]. In 1 study, in-hospital mortality was found at a level of 22% among patients who developed CIN after PCI [25]. In another one, McCullough et al. [27] found an in-hospital mortality of 7% in patients who developed CIN after PCI and did not need hemodialysis, and 36% among those who needed hemodialysis after PCI. The contrast volume is a modifiable factor for the development of CIN. In patients presented with STEMI who underwent primary PCI, in-hospital mortality and CIN are closely associated with the contrast volume [6].

The ratio of contrast volume to GFR was proposed as a predictor of early increase in serum creatinine undergoing PCI. The ratio of 3.7 for V/GFR was found the cut-off value for predicting this increase [13]. Mager et al. [14] studied the association between V/GFR, post-procedural CIN and 1-month mortality in patients with STEMI. In line with Laskey et al. [13], the ratio of > 3.7 was found to be associated with CIN and 1-month mortality.

In our study, V/GFR ratio was found an independent predictor of both in-hospital and 6-month mortality. We found 2 separate values of V/GFR for 2 different end points. The ratio of 3.6 predicted in-hospital mortality with 78% sensitivity and 82% specificity. On the other hand, the ratio of 3.3 predicted 6-month mortality with 71% sensitivity and 76% specificity. Our values are different from those of the previous studies regarding the cut off V/GFR ratios. As in line with previous studies, V/GFR was associated with worse outcomes. Among tertiles, tertile 3 had a worse survival rate. Survival rates decrease as V/GFR increases both for in-hospital and during 6-month follow-up periods.

Conclusions

V/GFR is an important parameter for predicting adverse events in STEMI patients undergoing primary PCI. Patients who had high V/GFR ratio should be followed closely to avert CIN especially in older patients with lower GFR. The impact of close follow-up on mortality and adverse events in high-risk population is unknown and needs further studies.

Conflict of interest: None declared

References

  1. 1. Best PJ, Lennon R, Ting HH, Bell MR, Rihal CS, Holmes DR, Berger PB. The impact of renal insufficiency on clinical outcomes in patients undergoing percutaneous coronary interventions. J Am Coll Cardiol, 2002; 39: 1113–1119.
  2. 2. Al Suwaidi J, Reddan DN, Williams K et al.; GUSTO-IIb, GUSTO-III, PURSUIT. Global Use of Strategies to Open Occluded Coronary Arteries. Platelet Glycoprotein IIb/IIIa in Unstable Angina: Receptor Suppression Using Integrilin Therapy; PARAGON-A Investigators. Platelet IIb/IIIa Antagonism for the Reduction of Acute coronary syndrome events in a Global Organization Network. Prognostic implications of abnormalities in renal function in patients with acute coronary syndromes. Circulation, 2002; 106: 974–980.
  3. 3. Gibson CM, Pinto DS, Murphy SA et al.; TIMI Study Group. Association of creatinine and creatinine clearance on presentation in acute myocardial infarction with subsequent mortality. J Am Coll Cardiol, 2003; 42: 1535–1543.
  4. 4. Normand ST, Glickman ME, Sharma RG, McNeil BJ. Using admission characteristics to predict short-term mortality from myocardial infarction in elderly patients. Results from the Cooperative Cardiovascular Project. JAMA, 1996; 275: 1322–1328.
  5. 5. Eagle KA, Lim MJ, Dabbous OH et al.; GRACE Investigators. A validated prediction model for all forms of acute coronary syndrome: Estimating the risk of 6-month postdischarge death in an international registry. JAMA, 2004; 291: 2727–2733.
  6. 6. Marenzi G, Assanelli E, Campodonico J et al. Contrast volume during primary percutaneous coronary intervention and subsequent contrast-induced nephropathy and mortality. Ann Intern Med, 2009; 150: 170–177.
  7. 7. Rihal CS, Textor SC, Grill DE et al. Incidence and prognostic importance of acute renal failure after percutaneous coronary interventio. Circulation, 2002; 105: 2259–2264.
  8. 8. Marenzi G, Lauri G, Assanelli E et al. Contrast-induced nephropathy in patients undergoing primary angioplasty for acute myo­cardial infarction. Am Coll Cardiol, 2004; 44: 1780–1785.
  9. 9. Sadeghi HM, Stone GW, Grines CL et al. Impact of renal insufficiency in patients undergoing primary angioplasty for acute myocardial infarction. Circulation, 2003; 108: 2769–2775.
  10. 10. Marenzi G, Assanelli E, Marana I et al. N-acetylcysteine and contrast-induced nephropathy in primary angioplasty. N Engl J Med, 2006; 354: 2773–2782.
  11. 11. Mehran R, Aymong ED, Nikolsky E et al. A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention: Development and initial validation. J Am Coll Cardiol, 2004; 44: 1393–1399.
  12. 12. Nyman U, Almén T, Aspelin P, Hellström M, Kristiansson M, Sterner G. Contrast-medium-Induced nephropathy correlated to the ratio between dose in gram iodine and estimated GFR in ml/min. Acta Radiol, 2005; 46: 830–842.
  13. 13. Laskey WK, Jenkins C, Selzer F et al.; NHLBI Dynamic Registry Investigators. Volume-to-creatinine clearance ratio: a pharmacokinetically based risk factor for prediction of early creatinine increase after percutaneous coronary intervention. J Am Coll Cardiol, 2007; 50: 584–590.
  14. 14. Mager A, Vaknin Assa H, Lev EI, Bental T, Assali A, Kornowski R. The ratio of contrast volume to glomerular filtration rate predicts outcomes after percutaneous coronary intervention for ST-segment elevation acute myocardial infarction. Catheter Cardiovasc Interv, 2011; 78: 198–201.
  15. 15. Schiller NB, Shah PM, Crawford M et al. Recommendations for quantitation of the left ventricle by two-dimensional echocardiography. American Society of Echocardiography Committee on Standards, Subcommittee on Quantitation of Two-Dimensional Echocardiograms. J Am Soc Echocardiogr, 1989; 2: 358–367.
  16. 16. Killip T 3rd, Kimball JT. Treatment of myocardial infarction in a coronary care unit. A two year experience with 250 patients. Am J Cardiol, 1967; 20: 457–464.
  17. 17. Levey AS, Coresh J, Balk E et al.; National Kidney Foundation. National Kidney Foundation practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Ann Intern Med, 2003; 139: 137–147.
  18. 18. Mehran R, Nikolsky E. Contrast-induced nephropathy: definition, epidemiology, and patients at risk. Kidney Int Suppl, 2006; 100: S11–S15.
  19. 19. Schiele F, Legalery P, Didier K et al. Impact of renal dysfunction on 1-year mortality after acute myocardial infarction. Am Heart J, 2006; 151: 661–667.
  20. 20. Sarnak MJ, Levey AS, Schoolwerth AC et al.; American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Kidney disease as a risk factor for development of cardiovascular disease: A statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Hypertension, 2003; 42: 1050–1065.
  21. 21. Shlipak MG, Heidenreich PA, Noguchi H, Chertow GM, Browner WS, McClellan MB. Association of renal insufficiency with treatment and outcomes after myocardial infarction in elderly patients. Ann Intern Med, 2002; 137: 555–562.
  22. 22. Mann JF, Gerstein HC, Pogue J, Bosch J, Yusuf S. Renal insufficiency as a predictor of cardiovascular outcomes and the impact of ramipril: The HOPE randomized trial. Ann Intern Med, 2001; 134: 629–636.
  23. 23. Januzzi JL, Cannon CP, DiBattiste PM, Murphy S, Weintraub W, Braunwald E; TACTICS-TIMI 18 Investigators. Effects of renal insufficiency on early invasive management in patients with acute coronary syndromes (The TACTICS-TIMI 18 Trial). Am J Cardiol, 2002; 90: 1246–1249.
  24. 24. Januzzi JL, Cannon CP, Theroux P, Boden WE. Optimizing glycoprotein IIb/IIIa receptor antagonist use for the non-ST-segment elevation acute coronary syndromes: Risk stratification and therapeutic intervention. Am Heart J, 2003; 146: 764–774.
  25. 25. Rihal CS, Textor SC, Grill DE et al. Incidence and prognostic importance of acute renal failure after percutaneous coronary intervention. Circulation, 2002; 105: 2259–2264.
  26. 26. Schweiger MJ, Chambers CE, Davidson CJ et al. Prevention of contrast induced nephropathy: recommendations for the high risk patient undergoing cardiovascular procedures. Catheter Cardiovasc Interv, 2007; 69: 135–140.
  27. 27. McCullough PA, Wolyn R, Rocher LL, Levin RN, O’Neill WW. Acute renal failure after coronary intervention: incidence, risk factors, and relationship to mortality. Am J Med, 1997; 103: 368–375.