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Published in: Clinical Research in Cardiology 7/2014

01-07-2014 | Original Paper

Comparison of modification of diet in renal disease and chronic kidney disease epidemiology collaboration formulas in predicting long-term outcomes in patients undergoing stent implantation due to stable coronary artery disease

Authors: Tadeusz Osadnik, Jarosław Wasilewski, Andrzej Lekston, Joanna Strzelczyk, Anna Kurek, Aleksander Rafał Gutowski, Krzysztof Dyrbuś, Kamil Bujak, Rafał Reguła, Piotr Rozentryt, Bożena Szyguła-Jurkiewicz, Lech Poloński

Published in: Clinical Research in Cardiology | Issue 7/2014

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Abstract

Introduction

The aim was to assess the predictive value of estimated glomerular filtration rate (eGFR) using two formulas: modification of diet in renal disease (MDRD) and chronic kidney disease epidemiology collaboration (CKD-EPI), in a population with stable coronary artery disease (SCAD) undergoing percutaneous coronary revascularization (PCI).

Methods

The analyzed cohort included 3,141 consecutive patients with SCAD who underwent PCI, between January 2006 and December 2011. Follow-up data were available for 3,123 (99.4 %) patients.

Results

The median follow-up was 1,127 days (interquartile range 566–1,634 days). During the observation period, 330 deaths were reported. In patients with serum creatinine (S-Cr) within normal range, eGFR by CKD-EPI equation predicted long-term outcome more accurately, than eGFR by MDRD formula—continuous Net Reclassification Improvement: 0.296 (95 % CI, 0.08–0.5 p = 0.03). In patients with elevated S-CR, eGFR calculated by both formulae had similar efficacy in assessing death risk. After adjustment for differences in clinical characteristics, both formulae were associated with mortality, but only in patients with elevated S-Cr: eGFR by MDRD (per 10 ml/min/1.73 m2) HR: 0.74 [95 % CI, 0.61–0.89, p = 0.002], eGFR by CKD-EPI (per 10 ml/min/1.73 m2) HR: 0.75 (95 % CI, 0.63–0.89, p = 0.001). After adjustment for covariates, eGFR by CKD-EPI equation did not offer more appropriate categorization of individuals with respect to long-term mortality.

Conclusion

Our results indicate that in multivariable analysis eGFR calculated by MDRD and CKD-EPI equations has similar predictive value. In a population of patients with SCAD and S-Cr within normal range, eGFR calculated by CKD-EPI equation outperforms eGFR calculated by MDRD equation in assessing death risk.
Literature
1.
go back to reference Coceani M, Carpeggiani C, L’Abbate A (2008) Comparative prognostic value of glomerular filtration rate estimating formulas in ischaemic heart disease. Eur J Cardiovasc Prev Rehabil 15:423–427PubMedCrossRef Coceani M, Carpeggiani C, L’Abbate A (2008) Comparative prognostic value of glomerular filtration rate estimating formulas in ischaemic heart disease. Eur J Cardiovasc Prev Rehabil 15:423–427PubMedCrossRef
2.
go back to reference Kasai T, Miyauchi K, Kajimoto K, Kubota N, Dohi T, Tsuruta R et al (2011) Prognostic significance of glomerular filtration rate estimated by the Japanese equation among patients who underwent complete coronary revascularization. Hypertens Res 34:378–383PubMedCrossRef Kasai T, Miyauchi K, Kajimoto K, Kubota N, Dohi T, Tsuruta R et al (2011) Prognostic significance of glomerular filtration rate estimated by the Japanese equation among patients who underwent complete coronary revascularization. Hypertens Res 34:378–383PubMedCrossRef
3.
go back to reference Di Angelantonio E, Chowdhury R, Sarwar N, Aspelund T, Danesh J, Gudnason V (2010) Chronic kidney disease and risk of major cardiovascular disease and non-vascular mortality: prospective population based cohort study. BMJ 341:c4986PubMedCentralPubMedCrossRef Di Angelantonio E, Chowdhury R, Sarwar N, Aspelund T, Danesh J, Gudnason V (2010) Chronic kidney disease and risk of major cardiovascular disease and non-vascular mortality: prospective population based cohort study. BMJ 341:c4986PubMedCentralPubMedCrossRef
4.
go back to reference Gibson CM, Dumaine RL, Gelfand EV, Murphy SA, Morrow DA, Wiviott SD et al (2004) Association of glomerular filtration rate on presentation with subsequent mortality in non-ST-segment elevation acute coronary syndrome; observations in 13,307 patients in five TIMI trials. Eur Heart J 25:1998–2005PubMedCrossRef Gibson CM, Dumaine RL, Gelfand EV, Murphy SA, Morrow DA, Wiviott SD et al (2004) Association of glomerular filtration rate on presentation with subsequent mortality in non-ST-segment elevation acute coronary syndrome; observations in 13,307 patients in five TIMI trials. Eur Heart J 25:1998–2005PubMedCrossRef
5.
go back to reference Gruberg L, Weissman NJ, Waksman R, Laird JR, Pinnow EE, Wu H et al (2002) Comparison of outcomes after percutaneous coronary revascularization with stents in patients with and without mild chronic renal insufficiency. Am J Cardiol 89:54–57PubMedCrossRef Gruberg L, Weissman NJ, Waksman R, Laird JR, Pinnow EE, Wu H et al (2002) Comparison of outcomes after percutaneous coronary revascularization with stents in patients with and without mild chronic renal insufficiency. Am J Cardiol 89:54–57PubMedCrossRef
6.
go back to reference Weiner DE, Tabatabai S, Tighiouart H, Elsayed E, Bansal N, Griffith J et al (2006) Cardiovascular outcomes and all-cause mortality: exploring the interaction between CKD and cardiovascular disease. Am J Kidney Dis 48:392–401PubMedCrossRef Weiner DE, Tabatabai S, Tighiouart H, Elsayed E, Bansal N, Griffith J et al (2006) Cardiovascular outcomes and all-cause mortality: exploring the interaction between CKD and cardiovascular disease. Am J Kidney Dis 48:392–401PubMedCrossRef
7.
go back to reference Kuchulakanti PK, Torguson R, Chu WW, Canos DA, Rha S, Clavijo L et al (2006) Impact of chronic renal insufficiency on clinical outcomes in patients undergoing percutaneous coronary intervention with sirolimus-eluting stents versus bare metal stents. Am J Cardiol 97:792–797PubMedCrossRef Kuchulakanti PK, Torguson R, Chu WW, Canos DA, Rha S, Clavijo L et al (2006) Impact of chronic renal insufficiency on clinical outcomes in patients undergoing percutaneous coronary intervention with sirolimus-eluting stents versus bare metal stents. Am J Cardiol 97:792–797PubMedCrossRef
8.
go back to reference Best PJM, Berger PB, Davis BR, Grines CL, Sadeghi HM, Williams BA et al (2004) Impact of mild or moderate chronic kidney disease on the frequency of restenosis: results from the PRESTO trial. J Am Coll Cardiol 44:1786–1791PubMed Best PJM, Berger PB, Davis BR, Grines CL, Sadeghi HM, Williams BA et al (2004) Impact of mild or moderate chronic kidney disease on the frequency of restenosis: results from the PRESTO trial. J Am Coll Cardiol 44:1786–1791PubMed
9.
go back to reference Yazaki Y, Iijima R, Nakamura M, Sugi K (2011) Relationship between renal function stage and clinical outcomes after paclitaxel-eluting stent implantation. J Cardiol 57:61–68PubMedCrossRef Yazaki Y, Iijima R, Nakamura M, Sugi K (2011) Relationship between renal function stage and clinical outcomes after paclitaxel-eluting stent implantation. J Cardiol 57:61–68PubMedCrossRef
10.
go back to reference Wiesner R, Edwards E, Freeman R, Harper A, Kim R, Kamath P et al (2003) Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology 124:91–96PubMedCrossRef Wiesner R, Edwards E, Freeman R, Harper A, Kim R, Kamath P et al (2003) Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology 124:91–96PubMedCrossRef
11.
go back to reference Botev R, Mallié J-P, Couchoud C, Schück O, Fauvel J-P, Wetzels JFM et al (2009) Estimating glomerular filtration rate: Cockcroft-Gault and Modification of Diet in Renal Disease formulas compared to renal inulin clearance. Clin J Am Soc Nephrol 4:899–906PubMedCentralPubMedCrossRef Botev R, Mallié J-P, Couchoud C, Schück O, Fauvel J-P, Wetzels JFM et al (2009) Estimating glomerular filtration rate: Cockcroft-Gault and Modification of Diet in Renal Disease formulas compared to renal inulin clearance. Clin J Am Soc Nephrol 4:899–906PubMedCentralPubMedCrossRef
12.
go back to reference K/DOQI (2002) Clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39(Suppl 1):S1–S266 K/DOQI (2002) Clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39(Suppl 1):S1–S266
13.
go back to reference Section I (2002) Measurement of renal function, when to refer and when to start dialysis. Nephrol Dial Transplant 17(Suppl 7):7–15 Section I (2002) Measurement of renal function, when to refer and when to start dialysis. Nephrol Dial Transplant 17(Suppl 7):7–15
14.
go back to reference Coresh J, Selvin E, Stevens LA, Manzi J, Kusek JW, Eggers P et al (2007) Prevalence of chronic kidney disease in the United States. JAMA 298:2038–2047PubMedCrossRef Coresh J, Selvin E, Stevens LA, Manzi J, Kusek JW, Eggers P et al (2007) Prevalence of chronic kidney disease in the United States. JAMA 298:2038–2047PubMedCrossRef
15.
go back to reference Levey AS, Coresh J, Greene T, Marsh J, Stevens LA, Kusek JW et al (2007) Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem 53:766–772PubMedCrossRef Levey AS, Coresh J, Greene T, Marsh J, Stevens LA, Kusek JW et al (2007) Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem 53:766–772PubMedCrossRef
16.
go back to reference Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150:604–612PubMedCentralPubMedCrossRef Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150:604–612PubMedCentralPubMedCrossRef
17.
go back to reference Bell RM, Rear R, Cunningham J, Dawnay A, Yellon DM (2014) Effect of remote ischaemic conditioning on contrast-induced nephropathy in patients undergoing elective coronary angiography (ERICCIN): rationale and study design of a randomised single-centre, double-blind placebo-controlled trial. Clin Res Cardiol 103(3):203–209. doi:10.1007/s00392-013-0637-3 Bell RM, Rear R, Cunningham J, Dawnay A, Yellon DM (2014) Effect of remote ischaemic conditioning on contrast-induced nephropathy in patients undergoing elective coronary angiography (ERICCIN): rationale and study design of a randomised single-centre, double-blind placebo-controlled trial. Clin Res Cardiol 103(3):203–209. doi:10.​1007/​s00392-013-0637-3
18.
go back to reference McCullough PA, Adam A, Becker CR, Davidson C, Lameire N, Stacul F et al (2006) Epidemiology and prognostic implications of contrast-induced nephropathy. Am J Cardiol 98:5K–13KPubMedCrossRef McCullough PA, Adam A, Becker CR, Davidson C, Lameire N, Stacul F et al (2006) Epidemiology and prognostic implications of contrast-induced nephropathy. Am J Cardiol 98:5K–13KPubMedCrossRef
20.
go back to reference Kirsztajn GM, Suassuna JHR, Bastos MG (2009) Dividing stage 3 of chronic kidney disease (CKD): 3A and 3B. Kidney Int 76:462–463 (author reply 463–464)PubMedCrossRef Kirsztajn GM, Suassuna JHR, Bastos MG (2009) Dividing stage 3 of chronic kidney disease (CKD): 3A and 3B. Kidney Int 76:462–463 (author reply 463–464)PubMedCrossRef
21.
go back to reference Stekhoven DJ, Bühlmann P (2012) MissForest—non-parametric missing value imputation for mixed-type data. Bioinformatics 28:112–118PubMedCrossRef Stekhoven DJ, Bühlmann P (2012) MissForest—non-parametric missing value imputation for mixed-type data. Bioinformatics 28:112–118PubMedCrossRef
22.
go back to reference Waljee AK, Mukherjee A, Singal AG, Zhang Y, Warren J, Balis U, Marrero J, Zhu J, Higgins PD (2013) Comparison of imputation methods for missing laboratory data in medicine. BMJ Open 3(8). doi:10.1136/bmjopen-2013-002847 Waljee AK, Mukherjee A, Singal AG, Zhang Y, Warren J, Balis U, Marrero J, Zhu J, Higgins PD (2013) Comparison of imputation methods for missing laboratory data in medicine. BMJ Open 3(8). doi:10.​1136/​bmjopen-2013-002847
23.
go back to reference Stekhoven DJ (2013) MissForest: nonparametric missing value imputation using random forest. R package version. 1.4 Stekhoven DJ (2013) MissForest: nonparametric missing value imputation using random forest. R package version. 1.4
24.
go back to reference Newson RB (2010) Comparing the predictive power of survival models using Harrell’ s C or Somers’. Stata J 3:339–358 Newson RB (2010) Comparing the predictive power of survival models using Harrell’ s C or Somers’. Stata J 3:339–358
25.
go back to reference Cook NR (2007) Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation 115:928–935PubMedCrossRef Cook NR (2007) Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation 115:928–935PubMedCrossRef
26.
go back to reference Pencina MJ, D’Agostino RB, Steyerberg EW (2011) Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 30:11–21PubMedCentralPubMedCrossRef Pencina MJ, D’Agostino RB, Steyerberg EW (2011) Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 30:11–21PubMedCentralPubMedCrossRef
27.
go back to reference Uno H, Tian L, Cai T, Kohane IS, Wei LJ (2013) A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data. Stat Med 32:2430–2442PubMedCentralPubMedCrossRef Uno H, Tian L, Cai T, Kohane IS, Wei LJ (2013) A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data. Stat Med 32:2430–2442PubMedCentralPubMedCrossRef
28.
go back to reference Pickering JW, Endre ZH (2012) New metrics for assessing diagnostic potential of candidate biomarkers. Clin J Am Soc Nephrol 7:1355–1364PubMedCrossRef Pickering JW, Endre ZH (2012) New metrics for assessing diagnostic potential of candidate biomarkers. Clin J Am Soc Nephrol 7:1355–1364PubMedCrossRef
29.
go back to reference R Core Team (2013) R: a language and environment for statistical computing R Core Team (2013) R: a language and environment for statistical computing
30.
go back to reference Choi JS, Kim CS, Park JW, Bae EH, Ma SK, Jeong MH et al (2012) Renal dysfunction as a risk factor for painless myocardial infarction: results from Korea Acute Myocardial Infarction Registry. Clin Res Cardiol 101:795–803PubMedCrossRef Choi JS, Kim CS, Park JW, Bae EH, Ma SK, Jeong MH et al (2012) Renal dysfunction as a risk factor for painless myocardial infarction: results from Korea Acute Myocardial Infarction Registry. Clin Res Cardiol 101:795–803PubMedCrossRef
31.
go back to reference Ndrepepa G, Neumann F-J, Cassese S, Fusaro M, Ott I, Schulz S et al (2014) Incidence and impact on prognosis of bleeding during percutaneous coronary interventions in patients with chronic kidney disease. Clin Res Cardiol 103:49–56PubMedCrossRef Ndrepepa G, Neumann F-J, Cassese S, Fusaro M, Ott I, Schulz S et al (2014) Incidence and impact on prognosis of bleeding during percutaneous coronary interventions in patients with chronic kidney disease. Clin Res Cardiol 103:49–56PubMedCrossRef
32.
go back to reference Manjunath G, Tighiouart H, Ibrahim H, MacLeod B, Salem DN, Griffith JL et al (2003) Level of kidney function as a risk factor for atherosclerotic cardiovascular outcomes in the community. J Am Coll Cardiol 41:47–55PubMedCrossRef Manjunath G, Tighiouart H, Ibrahim H, MacLeod B, Salem DN, Griffith JL et al (2003) Level of kidney function as a risk factor for atherosclerotic cardiovascular outcomes in the community. J Am Coll Cardiol 41:47–55PubMedCrossRef
33.
go back to reference Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351:1296–1305PubMedCrossRef Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351:1296–1305PubMedCrossRef
34.
go back to reference Weiner DE, Tighiouart H, Amin MG, Stark PC, MacLeod B, Griffith JL et al (2004) Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: a pooled analysis of community-based studies. J Am Soc Nephrol 15:1307–1315PubMedCrossRef Weiner DE, Tighiouart H, Amin MG, Stark PC, MacLeod B, Griffith JL et al (2004) Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: a pooled analysis of community-based studies. J Am Soc Nephrol 15:1307–1315PubMedCrossRef
35.
go back to reference Shlipak MG, Fried LF, Crump C, Bleyer AJ, Manolio TA, Tracy RP et al (2003) Elevations of inflammatory and procoagulant biomarkers in elderly persons with renal insufficiency. Circulation 107:87–92PubMedCrossRef Shlipak MG, Fried LF, Crump C, Bleyer AJ, Manolio TA, Tracy RP et al (2003) Elevations of inflammatory and procoagulant biomarkers in elderly persons with renal insufficiency. Circulation 107:87–92PubMedCrossRef
36.
go back to reference Keller C, Katz R, Cushman M, Fried LF, Shlipak M (2008) Association of kidney function with inflammatory and procoagulant markers in a diverse cohort: a cross-sectional analysis from the Multi-Ethnic Study of Atherosclerosis (MESA). BMC Nephrol 9:9PubMedCentralPubMedCrossRef Keller C, Katz R, Cushman M, Fried LF, Shlipak M (2008) Association of kidney function with inflammatory and procoagulant markers in a diverse cohort: a cross-sectional analysis from the Multi-Ethnic Study of Atherosclerosis (MESA). BMC Nephrol 9:9PubMedCentralPubMedCrossRef
37.
go back to reference Bramlage P, Cuneo A, Zeymer U, Hochadel M, Richardt G, Silber S et al (2013) Prognosis of patients with atrial fibrillation undergoing percutaneous coronary intervention receiving drug eluting stents. Clin Res Cardiol 102:289–297PubMedCrossRef Bramlage P, Cuneo A, Zeymer U, Hochadel M, Richardt G, Silber S et al (2013) Prognosis of patients with atrial fibrillation undergoing percutaneous coronary intervention receiving drug eluting stents. Clin Res Cardiol 102:289–297PubMedCrossRef
38.
go back to reference Arnaudis B, Lairez O, Escamilla R, Fouilloux A, Fournier P, Monteil B et al (2012) Impact of chronic obstructive pulmonary disease severity on symptoms and prognosis in patients with systolic heart failure. Clin Res Cardiol 101:717–726PubMedCrossRef Arnaudis B, Lairez O, Escamilla R, Fouilloux A, Fournier P, Monteil B et al (2012) Impact of chronic obstructive pulmonary disease severity on symptoms and prognosis in patients with systolic heart failure. Clin Res Cardiol 101:717–726PubMedCrossRef
39.
go back to reference Kuznik A, Mardekian J, Tarasenko L (2013) Evaluation of cardiovascular disease burden and therapeutic goal attainment in US adults with chronic kidney disease: an analysis of national health and nutritional examination survey data, 2001–2010. BMC Nephrol 14:132PubMedCentralPubMedCrossRef Kuznik A, Mardekian J, Tarasenko L (2013) Evaluation of cardiovascular disease burden and therapeutic goal attainment in US adults with chronic kidney disease: an analysis of national health and nutritional examination survey data, 2001–2010. BMC Nephrol 14:132PubMedCentralPubMedCrossRef
40.
go back to reference Ndrepepa G, Tada T, Fusaro M, Cassese S, King L, Hadamitzky M et al (2012) Association of coronary atherosclerotic burden with clinical presentation and prognosis in patients with stable and unstable coronary artery disease. Clin Res Cardiol 101:1003–1011PubMedCrossRef Ndrepepa G, Tada T, Fusaro M, Cassese S, King L, Hadamitzky M et al (2012) Association of coronary atherosclerotic burden with clinical presentation and prognosis in patients with stable and unstable coronary artery disease. Clin Res Cardiol 101:1003–1011PubMedCrossRef
41.
go back to reference Botev R, Mallié J-P (2008) Reporting the eGFR and its implication for CKD diagnosis. Clin J Am Soc Nephrol 3:1606–1607PubMedCrossRef Botev R, Mallié J-P (2008) Reporting the eGFR and its implication for CKD diagnosis. Clin J Am Soc Nephrol 3:1606–1607PubMedCrossRef
42.
go back to reference Matsushita K, Selvin E, Bash LD, Astor BC, Coresh J (2010) Risk implications of the new CKD epidemiology collaboration (CKD-EPI) equation compared with the MDRD Study equation for estimated GFR: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Kidney Dis 55:648–659PubMedCentralPubMedCrossRef Matsushita K, Selvin E, Bash LD, Astor BC, Coresh J (2010) Risk implications of the new CKD epidemiology collaboration (CKD-EPI) equation compared with the MDRD Study equation for estimated GFR: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Kidney Dis 55:648–659PubMedCentralPubMedCrossRef
43.
go back to reference Skali H, Uno H, Levey AS, Inker LA, Pfeffer MA, Solomon SD (2011) Prognostic assessment of estimated glomerular filtration rate by the new chronic kidney disease epidemiology collaboration equation in comparison with the Modification of Diet in Renal Disease Study equation. Am Heart J 162:548–554PubMedCrossRef Skali H, Uno H, Levey AS, Inker LA, Pfeffer MA, Solomon SD (2011) Prognostic assessment of estimated glomerular filtration rate by the new chronic kidney disease epidemiology collaboration equation in comparison with the Modification of Diet in Renal Disease Study equation. Am Heart J 162:548–554PubMedCrossRef
44.
go back to reference Ohsawa M, Tanno K, Itai K, Turin TC, Okamura T, Ogawa A et al (2013) Comparison of predictability of future cardiovascular events between chronic kidney disease (CKD) stage based on CKD epidemiology collaboration equation and that based on modification of diet in renal disease equation in the Japanese general population–I. Circ J 77:1315–1325PubMedCrossRef Ohsawa M, Tanno K, Itai K, Turin TC, Okamura T, Ogawa A et al (2013) Comparison of predictability of future cardiovascular events between chronic kidney disease (CKD) stage based on CKD epidemiology collaboration equation and that based on modification of diet in renal disease equation in the Japanese general population–I. Circ J 77:1315–1325PubMedCrossRef
45.
go back to reference Shlipak MG, Matsushita K, Ärnlöv J, Inker LA, Katz R, Polkinghorne KR et al (2013) Cystatin C versus creatinine in determining risk based on kidney function. N Engl J Med 369:932–943PubMedCrossRef Shlipak MG, Matsushita K, Ärnlöv J, Inker LA, Katz R, Polkinghorne KR et al (2013) Cystatin C versus creatinine in determining risk based on kidney function. N Engl J Med 369:932–943PubMedCrossRef
Metadata
Title
Comparison of modification of diet in renal disease and chronic kidney disease epidemiology collaboration formulas in predicting long-term outcomes in patients undergoing stent implantation due to stable coronary artery disease
Authors
Tadeusz Osadnik
Jarosław Wasilewski
Andrzej Lekston
Joanna Strzelczyk
Anna Kurek
Aleksander Rafał Gutowski
Krzysztof Dyrbuś
Kamil Bujak
Rafał Reguła
Piotr Rozentryt
Bożena Szyguła-Jurkiewicz
Lech Poloński
Publication date
01-07-2014
Publisher
Springer Berlin Heidelberg
Published in
Clinical Research in Cardiology / Issue 7/2014
Print ISSN: 1861-0684
Electronic ISSN: 1861-0692
DOI
https://doi.org/10.1007/s00392-014-0687-1

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