|Renal function at the time of a myocardial infarction maintains prognostic value for more than 10 years.|
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|PMID: 21708030 Owner: NLM Status: MEDLINE|
|BACKGROUND: Renal function is an important predictor of mortality in patients with myocardial infarction (MI), but changes in the impact over time have not been well described.We examined the importance of renal function by estimated GFR (eGFR) and se-creatinine as an independent long-term prognostic factor.
METHODS: Prospective follow-up of 6653 consecutive MI patients screened for entry in the Trandolapril Cardiac Evaluation (TRACE) study. The patients were analysed by Kaplan-Meier survival analysis, landmark analysis and Cox proportional hazard models. Outcome measure was all-cause mortality.
RESULTS: An eGFR below 60 ml per minute per 1.73 m2, consistent with chronic renal disease, was present in 42% of the patients. We divided the patients into 4 groups according to eGFR. Overall, Cox proportional-hazards models showed that eGFR was a significant prognostic factor in the two groups with the lowest eGFR, hazard ratio 1,72 (confidence interval (CI) 1,56-1,91) in the group with the lowest eGFR. Using the eGFR group with normal renal function as reference, we observed an incremental rise in hazard ratio. We divided the follow-up period in 2-year intervals. Landmark analysis showed that eGFR at the time of screening continued to show prognostic effect until 16 years of follow-up. By multivariable Cox regression analysis, the prognostic effect of eGFR persisted for 12 years and of se-creatinine for 10 years. When comparing the lowest group of eGFR with the group with normal eGFR, prognostic significance was present in the entire period of follow-up with a hazard ratio between 1,97 (CI 1,65-2,35) and 1,35 (CI 0,99-1,84) in the 2-year periods.
CONCLUSIONS: One estimate of renal function is a strong and independent long-term prognostic factor for 10-12 years following a MI.
|Thomas Kümler; Gunnar H Gislason; Lars Kober; Finn Gustafsson; Morten Schou; Christian Torp-Pedersen|
|Type: Comparative Study; Journal Article; Multicenter Study Date: 2011-06-27|
|Title: BMC cardiovascular disorders Volume: 11 ISSN: 1471-2261 ISO Abbreviation: BMC Cardiovasc Disord Publication Date: 2011|
|Created Date: 2011-07-20 Completed Date: 2012-06-26 Revised Date: 2013-06-28|
Medline Journal Info:
|Nlm Unique ID: 100968539 Medline TA: BMC Cardiovasc Disord Country: England|
|Languages: eng Pagination: 37 Citation Subset: IM|
|Dept. of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark. firstname.lastname@example.org|
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Glomerular Filtration Rate / physiology*
Kidney / physiology
Kidney Function Tests / trends*
Myocardial Infarction / diagnosis*, mortality, physiopathology*
Journal ID (nlm-ta): BMC Cardiovasc Disord
Publisher: BioMed Central
Copyright ©2011 Kümler et al; licensee BioMed Central Ltd.
Received Day: 14 Month: 1 Year: 2011
Accepted Day: 27 Month: 6 Year: 2011
collection publication date: Year: 2011
Electronic publication date: Day: 27 Month: 6 Year: 2011
Volume: 11First Page: 37 Last Page: 37
Publisher Id: 1471-2261-11-37
PubMed Id: 21708030
|Renal function at the time of a myocardial infarction maintains prognostic value for more than 10 years|
|Thomas Kümler1||Email: email@example.com|
|Gunnar H Gislason2||Email: firstname.lastname@example.org|
|Lars Kober1||Email: email@example.com|
|Finn Gustafsson1||Email: firstname.lastname@example.org|
|Morten Schou3||Email: email@example.com|
|Christian Torp-Pedersen2||Email: firstname.lastname@example.org|
1Dept. of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark
2Dept. of Cardiology, Gentofte University Hospital, Copenhagen, Denmark
3Dept. of Cardiology, Hilleroed University Hospital, Hilleroed, Denmark
The prevalence of cardiovascular disease rises with declining renal function [1-4]. The significance of impairment of kidney function for cardiovascular outcome after myocardial infarction (MI) has been examined in patients with heart failure , impaired left ventricular function  and in patients undergoing coronary artery bypass grafting (CABG) .
Several studies have examined cardiovascular outcomes in patients with end-stage renal disease but data on the risk in patients with lesser degrees of renal dysfunction and MI is lacking [8-11]. Moreover, several studies are limited by a short follow-up period and by relying on serum creatinine (se-creatinine) level, which is considered a suboptimal indicator of renal function. Long-term prognosis after myocardial infarction has generally improved over the last decades  and consequently it is of interest to study not just markers of short- or intermediate term prognosis but rather predictors of long-term - i.e. more than 10 years - prognosis. In fact, no information on the influence of estimates of renal function on such long-term prognosis after myocardial infarction is available.
We undertook a retrospective study of 6676 patients admitted with myocardial infarction and who were screened for entry in the Trandolapril Cardiac Evaluation Registry (TRACE) study. Renal function was evaluated by estimated GFR and s-creatinine and patients were followed for up to 17 years to systematically evaluate the importance of renal function as an independent prognostic factor evaluated at the time of the index infarction.
The Trandolapril Cardiac Evaluation Registry (TRACE) registry has been described in detail previously [13,14]. In brief, the TRACE registry consist of the 6676 MI patients screened for entry in the TRACE study, which was a double-blind, randomised, parallel group, placebo-controlled study of trandolapril versus placebo in patients with left ventricular dysfunction after MI. The study was conducted in 27 centres in Denmark and included consecutive patients admitted with MI. Participating centres recorded complications on a daily basis, and performed an echocardiography 2-6 days after the infarction. The worst status for each complication was recorded in the register. The diagnostic criteria of myocardial infarction were chest pain and/or electrocardiographic changes suggestive of ischemia or infarction, accompanied by elevated cardiac enzymes. Left ventricular systolic function was evaluated in a core lab as wall motion index using a 9-segment model and a reverse scoring system. Wall motion index multiplied by 30 approximates left ventricular ejection fraction, hence a wall-motion index of 1.2 corresponds to an ejection fraction of 35%. The technique has previously been described in detail and validated . Of the screened patients, 1749 (26.2%) were randomised to trandolapril or placebo in the TRACE study.
The TRACE study was approved by all regional ethical committees in Denmark and complies with the Declaration of Helsinki. The study was registered with the National Board of Health and the Danish Data Protection Agency. All participating patients provided informed consent.
Se-creatinine was recorded as the first measurement performed at admission in all patients, and given the half-life of se-creatinine the measurement represents kidney function prior to the MI in the vast majority of the patients. Direct measurement of GFR is often limited by practical problems, especially in acutely ill patients. Of several reliable equations, we estimated GFR (eGFR) with the use of the four-component MDRD equation incorporating age, race, sex and serum creatinine level :
For women the product of this equation was multiplied by a correction factor of 0.742. We did not use a correction factor for race because all included patients were Caucasian.
We divided eGFR into four categories (less than 45.0 (eGFRgroup 4), greater than or equal to 45.0 and less than 60.0 (eGFRgroup 3), greater than or equal to 60.0 and less than 75.0 (eGFRgroup 2) and greater than or equal to 75.0 (eGFRgroup 1) ml per minute per 1.73 m2), incorporating the guidelines of the National Kidney Foundation .
In order to compare the prognostic significance of creatinine and eGFR, we divided se-creatinine into 4 categories (se-creatinine less or equal to 60 (cregroup 1), greater than 60 and less than 75 (cregroup 2), greater than 120 and less than 180 (cregroup 3), greater than 180 (cregroup 4) μmol/l).
All Danish citizens are given a unique and permanent personal identification number that allows cross-linkage between registries. All deaths in Denmark are registered in the central person registry within 2 weeks and all deaths are confirmed by a death certificate. Follow-up mortality data were provided by a computerized analysis from the Danish Central Personal Registry by 16.06.2008.
eGFR is presented in categories for descriptive purposes but was used as a continuous variable in statistical tests. The baseline characteristics of the study population were compared with a t-test for continuous variables and a chi-square test for discrete variables. Mortality was analysed with Kaplan-Meier curves. We used Landmark analyses to illustrate the prognostic significance of renal function in 2-year intervals. All-cause mortality was compared with multivariable Cox proportional-hazards regression models. We used stepwise models including increasing number of variables. Model 1 is a univariate analysis, model 2 included age and gender and model 3 in addition included all covariates (Body mass index, previous AMI, angina pectoris, congestive heart failure, diabetes mellitus, wall motion index, systemic hypertension, thrombolytic therapy). In all models either se-creatinine group or eGFR were included in the model. The model assumptions (linearity of continuous variables, proportional hazards assumption and lack of interaction) were fulfilled. All p-values were two-sided, and a P value of less than 0.05 was considered statistical significant.
Statistical analyses were performed with the Statistical Analysis System software package, version 9.1 (SAS Institute, Cary, NC, USA).
A total of 7001 MI's in 6676 patients were reported from May 1990 to August 1992. By the end of follow-up, death was reported in 5231 patients (78.4%). A total of 38 non-Danish patients (0.56%) were censored at the day of hospital discharge. There were missing data on renal function in 23 patients, who were excluded from our analyses.
Baseline characteristics of the 6653 patients included in our study are presented in table 1. Forty-two% had an estimated GFR below the suggested value for chronic kidney disease (<60 ml per minute per 1.73 m2). With declining renal function patients were older, had more co-morbidity, were less often treated with thrombolytic therapy but more often with diuretics, had worse left ventricular systolic function and were in a more severe clinical state evaluated by New York Heart Association (NYHA) and Killip class. There were few patients with recurrent MI (N = 198, 3,72%) or pulmonary embolism (N = 27, 0,27%). Only 178 patients (3,33%) were receiving antiarrhytmic therapy at discharge.
Renal function was inversely related to all-cause mortality (figure 1, unadjusted analysis). The mortality was 43,0% (eGFR group 1), 56,9% (eGFR group 2), 71,9% (eGFR group 3), 89,7% (eGFR group 4) at 10 years of follow-up and 57,7% (eGFR group 1), 71,3% (eGFR group 2), 83,6% (eGFR group 3), 95,4% (eGFR group 4) at 15 years of follow-up (p < 0.0001 for difference between the 4 eGFR groups). To clarify the importance of renal function as prognostic factor we performed a Landmark analysis illustrating survival stratified by eGFR group and adjusted for age and sex in 2 year intervals after the infarction (figure 2). Estimation of renal function has prognostic significance for up to 16 years following MI, even without adjustment for changing values of se-creatinine. Landmark analyses of 2-year periods shows that the statistic significance disappears after 12 years of follow-up, but hazard ratio is almost the same in the following years, so the lack of significance in this period is probably a result of lack of power. The hazard ratio is close to 1.00 only after 16 years of follow-up.
We constructed 3 Cox proportional-hazards models of total mortality with a stepwise addition of covariates (table 2). In the multivariable analyses we included demographic factors, comorbidities and information regarding thrombolytic therapy. We did not include information regarding complications because of the risk of immortal time bias. Since clinicians have varying thresholds for initiating medical therapy, we did not include information regarding the medical treatment at discharge in the multivariable analyses because this could make the interpretation of results very complex and difficult. Age was a significant prognostic factor throughout the follow-up in all models. When using eGFRgroup 1 (normal renal function) as reference in the model incorporating all covariates in the whole follow-up period, estimated GFR was a significant prognostic factor in eGFRgroups 3 (hazard ratio 1,19, CI 1,09-1,30) and 4 (hazard ratio 1,72, CI 1,56-1,91) but not in eGFRgroup 2 (hazard ratio 0,99, CI 0,91-1,07)(figure 3). Overall, there was a rise in hazard ratio with worsening renal function. eGFR was a prognostic factor for 12 years and s-creatinine for 10 years, with the exception of the follow-up period from 6-8 years where significance was only borderline. Restricting the analysis to eGFRgroup 4 (lowest eGFR group) and eGFR group 1 (normal eGFR), prognostic significance was observed in the entire period of follow-up with hazard ratio between 1,97 (CI 1,65-2,35) and 1,35 (CI 0,99-1,84). In all 2-year periods statistical significant impact of eGFR was found, with the exception of the last follow-up period, which was probably a result of a lack of statistical power. Also, the analysis of the 4-6 year period of follow-up showed borderline significance, again likely due to a lack of power. When we controlled the Cox-model incorporating all covariates for whether the patients received ACE-inhibitor, eGFR statistical significance was lost in the 4-6 years follow-up period, while the other results were not significantly changed (data not shown).
In order to examine whether the prognostic significance of renal function was different in patients revascularized with thrombolysis, we performed an interaction analysis between renal function and trombolysis. We found a significant interaction between creatinine groups and thrombolysis with a p-value of 0.007. The overall hazard ratio was 1.374 (CI 1.289-1.464) with a hazard ratio in the group not treated with thrombolysis of 1.367 (CI 1.281-1.460) and 1.149 (CI 1.030-1.281) in the group treated with trombolysis. Similarly, an interaction was seen between eGFRgroup and thrombolysis with a p-value of 0.001. The overall hazard ratio was 1.242 (CI 1.194-1.292), with a hazard ratio of 1.235 (CI 1.186-1.287) in the group not treated with thrombolysis and 1.128 (CI 1.068-1.191) in the group treated with thrombolysis. In conclusion, the prognostic significance was greatest in the group not treated with thrombolysis, but as can be seen from the numbers, the interaction was not due to a large difference in hazard ratio associated with a decrease in renal function.
We found that renal function measured during the index hospitalization was an independent significant prognostic factor more than 10 years after MI.
Ideally, the evaluation of renal function should be performed by direct GFR measurement, but this approach is often limited by practical considerations. Several studies have used se-creatinine instead of GFR to evaluate renal function. However, the association between se-creatinine and GFR is nonlinear, because it varies with age, gender, ethnicity and lean body mass, which limits the value of serum creatinine level as a marker of renal function [18-20]. As a result, the National Kidney Foundation uses GFR, not serum creatinine, to define chronic kidney disease [17,19]. Of the several reliable formulas incorporating clinical variables, we used the MDRD formula, which has previously been used in 2 large studies [11,18]. However, a study by Szummers showed that Cockcroft-Gault formula was better than the MDRD equation at predicting mortality after a MI. This was mainly explained by differences in the coefficients and variables included in the eGFR equations, and less to differences in various subgroups of patients . The limited value of se-creatinine measurement was illustrated in our study by modest differences in se-creatinine between eGFR groups 1-3, despite large differences in eGFR which were also associated with differences in all-cause mortality. Nevertheless, despite its shorter persistence, se-creatinine level was as strong a prognostic factor as eGFR. The hazard ratios for creatinine groups were slightly higher than for eGFR groups in some 2-year periods of follow-up, but also more imprecise.
The observed increase in risk of all-cause mortality with decreasing eGFR is likely explained by factors associated with renal decline, for example albuminuria, proteinuria, homocysteinemia [1,2,22]. Elevated uric acid levels and traditional risk factors for coronary heart disease are prevalent in patients with chronic kidney disease . Hypertension may cause or worsen renal disease and is a significant cause of the accelerated development of cardiovascular disease . Indeed, patients with impaired renal function have more severe and diffuse coronary heart disease . A vicious circle often exists because the frequency of coronary risk factors increases with decreasing renal function. In our study, impaired renal function was associated with a higher frequency of hypertension, diabetes, angina pectoris and previous MI. Impaired renal function was also associated with higher age and was more common among women, both factors which reduce GFR estimated by the MDRD formula. We found that age was a significant risk factor for all-cause mortality throughout the length of follow-up, which is in agreement with previous studies [1,22].
Many patients with decreased renal function are treated less aggressively with therapeutic interventions and risk factor modification, a finding documented to parallel a worsening in renal function [25,26]. Patients with end-stage renal disease, whom are known to be at very high risk for cardiovascular events, are also treated less aggressively with prognosis-improving cardiovascular medications [27,28]. The reason often is a fear of worsening renal function and of drug-induced toxic effects as a result of low clearance. In our study, fewer patients received thrombolytic therapy when renal function decreased. This could be a result of less aggressive treatment of patients with renal dysfunction, but it is probably also explained by the age-difference between patients with decreased and normal renal function, since the se-creatinine value is usually not known at the time of initiation of thrombolytic therapy.
The management of patients with decreased renal function is difficult. On one hand, patients with renal impairment can safely obtain the same benefits of cardiovascular medications and invasive procedures when appropriately monitored [29-34]. On the other hand, many of the large landmark cardiovascular trials have excluded patients with renal function under a certain limit.
It has been documented that in patients with diabetes, the prevalence of renal dysfunction is higher, but the effect of renal function on cardiovascular risk is largely independent of diabetes status. Thus, a similar risk relation between renal function and CV risk exists in patients with and without DM .
Several recent papers have examined the prognostic role of renal function in AMI patients. One study examined the prognostic significance of an acute worsening of renal function among patients hospitalised for MI surviving to hospital discharge. With a follow-up of at least 4 years, worsening renal function was independently associated with diabetes, left ventricular systolic dysfunction and a history of chronic kidney disease. After adjustment for factors associated with worsening renal function and long-term mortality, worsening renal function was independently associated with a higher risk of death . In another study, the prognostic significance of chronic kidney disease and acute kidney injury on acute coronary syndrome was reviewed. This study stressed the importance of early measurement and monitoring of renal function, which is probably standard of care in most institutions . The significance of creatinine clearance at the time of hospital admission as a predictor of in-hospital adverse events and mortality was examined using data from the global registry of acute coronary events (GRACE) comprising 11 774 patients hospitalised with ACS. The results showed that in comparison with patients with normal or minimally impaired renal function, patients with moderate renal dysfunction were twice as likely to die and those with severe renal dysfunction almost four times more likely to die after adjustment for other potentially confounding variables. The risk of major bleeding episodes increased as renal function worsened . Data from GRACE also showed that initial serum creatinine concentration was among the nine factors that independently predicted death and the combined end point of death and myocardial infarction in the period from admission to six months after discharge . An observational study of 57477 consecutive MI patients showed that declining GFR estimated by the MDRD formula was associated with an increased rate of complications and a higher rate of in-hospital mortality .
The population described here was recruited from 27 Danish hospitals with regional patient uptake and can be considered representative in a western industrialized country of patients admitted alive with MI. With declining renal function, patients in our study were more often women, were older and had a greater frequency of comorbidities. This is in accordance with previous studies [38,40]. We have shown that reduced renal function is a long-term independent predictor of all-cause mortality in a graded manner. Previous studies have documented adverse outcomes at 30 and 180 days in patients with reduced renal function of MI [3,24,41-43]. The novelty of our results is the description of the prognostic effect of renal function in 2-year intervals with a very long follow-up period. This makes it possible to document the loss of prognostic significance of a risk factor in the very long-term.
The relationship between renal function and cardiovascular outcomes has previously been examined in several large studies: the Studies of Left Ventricular Dysfunction (SOLVD) trial, Trandolapril Cardiac Evaluation (TRACE) trial, Survival and Ventricular Enlargement (SAVE) trial and 2 analyses of the Valsartan in Acute Myocardial Infarction Trial (VALIANT) [4,11,35,44,45]. The SOLVD and SAVE studies and the analyses from VALIANT used the MDRD formula to estimate renal function. All these studies found that reduced renal function was independently associated with an increased risk of death and cardiovascular outcomes. Our study also comprises a large cohort but with a broader spectrum of renal dysfunction, because all patients in the TRACE register was included irrespective of se-creatinine level [11,35]. Together with the inclusion of consecutive patients we believe this makes the population studied here is more representative of daily clinical practice. Moreover, our cohort was followed for up to 17 years, far longer than any other study on this subject. In comparison, the analysis from VALIANT examined only high-risk patients with clinical or radiological signs of heart failure and/or left ventricular systolic dysfunction and the follow-up period was limited to a median of 24.7 months.
Our study has several limitations that should be acknowledged. The data do not allow us to evaluate the effect of duration or changes in renal dysfunction. Contrast-medium-induced nephropathy related to coronary angiography cannot be evaluated. The MDRD equation has limitations, because serum creatinine is influenced by non-renal factors. The baseline-estimated GFR can be affected by urinary excretion of protein, which we did not measure. Our study focuses solely on mortality, with no information on the effect of renal dysfunction on nonfatal outcomes. We do not have information regarding how many patients underwent coronary angiography or CABG during hospital stay or later. This treatment was not routine at the time of the trial (1992-1994). As a result, we cannot evaluate whether the frequency of invasive treatment differ in the eGFRgroups. It has previously been shown that early invasive therapy defined as revascularization within 14 days of admission was associated with greater 1-year survival in patients with non-ST-elevation myocardial infarction and mild-to-moderate renal insufficiency, but the benefit declined with lower renal function . It might be argued that the long-term prognostic information is of lesser interest for renal function, which is frequently updated be creatinine measurement, than for other risk factors, for example systolic function by echocardiography, which is updated more rarely.
Renal function is a strong and independent long-term prognostic factor the first 10-12 years following a MI. Estimating GFR provides a more precise estimate of renal function than se-creatinine and carries stronger prognostic significance. We expect that the prevalence of renal dysfunction among patients with MI will increase as a result of an ageing population with an accumulation of risk factors, including hypertension and diabetes. Consequently, the relevance of the findings of the present study will be relevant also in the future.
The authors declare that they have no competing interests.
TK was responsible for all stages of the study with the exception of data collection and follow-up: Analysis of data, analysis of the literature, and preparation of the manuscript. GG supervised the entire study, participated in follow-up, analysis and interpretation of data, and revised the manuscript. LK supervised the entire study, participated in follow-up, analysis and interpretation of data, and revised the manuscript. FG aided in analysis and interpretation of data and revision of the manuscript. MS aided in analysis and interpretation of data and revision of the manuscript. CT-P conceived the idea for the study, supervised the study, collected data, analyzed data and revised the manuscript. All authors have seen and approved the manuscript.
The pre-publication history for this paper can be accessed here:
Rikke Sørensen, M.D., for help with SAS programming.
|Foley RN,Parfrey PS,Sarnak MJ,Epidemiology of cardiovascular disease in chronic renal diseaseJ Am Soc NephrolYear: 1998912 SupplS162311443763|
|Luft FC,Renal disease as a risk factor for cardiovascular diseaseBasic Res CardiolYear: 200095Suppl 1I727611192357|
|Sarnak MJ,Levey AS,Cardiovascular disease and chronic renal disease: a new paradigmAm J Kidney DisYear: 2000354 Suppl 1S11713110766010|
|Sorensen CR,Brendorp B,Rask-Madsen C,Kober L,Kjoller E,Torp-Pedersen C,The prognostic importance of creatinine clearance after acute myocardial infarctionEuropean heart journalYear: 2002231294895210.1053/euhj.2001.298912069449|
|Hillege HL,Nitsch D,Pfeffer MA,Swedberg K,McMurray JJ,Yusuf S,Granger CB,Michelson EL,Ostergren J,Cornel JH,et al. Renal function as a predictor of outcome in a broad spectrum of patients with heart failureCirculationYear: 2006113567167810.1161/CIRCULATIONAHA.105.58050616461840|
|Dries DL,Exner DV,Domanski MJ,Greenberg B,Stevenson LW,The prognostic implications of renal insufficiency in asymptomatic and symptomatic patients with left ventricular systolic dysfunctionJ Am Coll CardiolYear: 200035368168910.1016/S0735-1097(99)00608-710716471|
|Szczech LA,Best PJ,Crowley E,Brooks MM,Berger PB,Bittner V,Gersh BJ,Jones R,Califf RM,Ting HH,et al. Outcomes of patients with chronic renal insufficiency in the bypass angioplasty revascularization investigationCirculationYear: 2002105192253225810.1161/01.CIR.0000016051.33225.3312010906|
|Chertow GM,Normand SL,Silva LR,McNeil BJ,Survival after acute myocardial infarction in patients with end-stage renal disease: results from the cooperative cardiovascular projectAm J Kidney DisYear: 20003561044105110.1016/S0272-6386(00)70038-210845815|
|Herzog CA,Ma JZ,Collins AJ,Poor long-term survival after acute myocardial infarction among patients on long-term dialysisN Engl J MedYear: 19983391279980510.1056/NEJM1998091733912039738087|
|Sarnak MJ,Levey AS,Schoolwerth AC,Coresh J,Culleton B,Hamm LL,McCullough PA,Kasiske BL,Kelepouris E,Klag MJ,et al. 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 PreventionHypertensionYear: 20034251050106510.1161/01.HYP.0000102971.85504.7c14604997|
|Anavekar NS,McMurray JJ,Velazquez EJ,Solomon SD,Kober L,Rouleau JL,White HD,Nordlander R,Maggioni A,Dickstein K,et al. Relation between renal dysfunction and cardiovascular outcomes after myocardial infarctionN Engl J MedYear: 2004351131285129510.1056/NEJMoa04136515385655|
|Setoguchi S,Glynn RJ,Avorn J,Mittleman MA,Levin R,Winkelmayer WC,Improvements in long-term mortality after myocardial infarction and increased use of cardiovascular drugs after discharge: a 10-year trend analysisJ Am Coll CardiolYear: 200851131247125410.1016/j.jacc.2007.10.06318371553|
|Kober L,Torp-Pedersen C,Carlsen JE,Bagger H,Eliasen P,Lyngborg K,Videbaek J,Cole DS,Auclert L,Pauly NC,A clinical trial of the angiotensin-converting-enzyme inhibitor trandolapril in patients with left ventricular dysfunction after myocardial infarction. Trandolapril Cardiac Evaluation (TRACE) Study GroupN Engl J MedYear: 1995333251670167610.1056/NEJM1995122133325037477219|
|The TRAndolapril Cardiac Evaluation (TRACE) study: rationale, design, and baseline characteristics of the screened population. The Trace Study GroupAm J CardiolYear: 1994731044C50C8166055|
|Kober L,Torp-Pedersen C,Carlsen J,Videbaek R,Egeblad H,An echocardiographic method for selecting high risk patients shortly after acute myocardial infarction, for inclusion in multi-centre studies (as used in the TRACE study). TRAndolapril Cardiac EvaluationEuropean heart journalYear: 19941512161616207698130|
|Levey AS,Bosch JP,Lewis JB,Greene T,Rogers N,Roth D,A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study GroupAnn Intern MedYear: 1999130646147010075613|
|K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratificationAm J Kidney DisYear: 2002392 Suppl 1S126611904577|
|Al Suwaidi J,Reddan DN,Williams K,Pieper KS,Harrington RA,Califf RM,Granger CB,Ohman EM,Holmes DR Jr,Prognostic implications of abnormalities in renal function in patients with acute coronary syndromesCirculationYear: 2002106897498010.1161/01.CIR.0000027560.41358.B312186803|
|Shlipak MG,Pharmacotherapy for heart failure in patients with renal insufficiencyAnn Intern MedYear: 20031381191792412779302|
|Walsh CR,O'Donnell CJ,Camargo CA Jr,Giugliano RP,Lloyd-Jones DM,Elevated serum creatinine is associated with 1-year mortality after acute myocardial infarctionAm Heart JYear: 200214461003101110.1067/mhj.2002.12550412486424|
|Szummer K,Lundman P,Jacobson SH,Lindback J,Stenestrand U,Wallentin L,Jernberg T,Cockcroft-Gault is better than the Modification of Diet in Renal Disease study formula at predicting outcome after a myocardial infarction: data from the Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART)Am Heart J1596979986|
|McCullough PA,Cardiorenal risk: an important clinical intersectionRev Cardiovasc MedYear: 200232717612447150|
|Benetos A,Waeber B,Izzo J,Mitchell G,Resnick L,Asmar R,Safar M,Influence of age, risk factors, and cardiovascular and renal disease on arterial stiffness: clinical applicationsAm J HypertensYear: 200215121101110810.1016/S0895-7061(02)03029-712460708|
|McCullough PA,Beyond serum creatinine: defining the patient with renal insufficiency and why?Rev Cardiovasc MedYear: 20034Suppl 1S2612556731|
|Al-Ahmad A,Rand WM,Manjunath G,Konstam MA,Salem DN,Levey AS,Sarnak MJ,Reduced kidney function and anemia as risk factors for mortality in patients with left ventricular dysfunctionJ Am Coll CardiolYear: 200138495596210.1016/S0735-1097(01)01470-X11583864|
|Manjunath G,Tighiouart H,Ibrahim H,MacLeod B,Salem DN,Griffith JL,Coresh J,Levey AS,Sarnak MJ,Level of kidney function as a risk factor for atherosclerotic cardiovascular outcomes in the communityJ Am Coll CardiolYear: 2003411475510.1016/S0735-1097(02)02663-312570944|
|Beattie JN,Soman SS,Sandberg KR,Yee J,Borzak S,Garg M,McCullough PA,Determinants of mortality after myocardial infarction in patients with advanced renal dysfunctionAm J Kidney DisYear: 20013761191120010.1053/ajkd.2001.2452211382688|
|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 patientsAnn Intern MedYear: 2002137755556212353942|
|Cheung AK,Sarnak MJ,Yan G,Dwyer JT,Heyka RJ,Rocco MV,Teehan BP,Levey AS,Atherosclerotic cardiovascular disease risks in chronic hemodialysis patientsKidney IntYear: 200058135336210.1046/j.1523-1755.2000.00173.x10886582|
|Gottlieb SS,McCarter RJ,Vogel RA,Effect of beta-blockade on mortality among high-risk and low-risk patients after myocardial infarctionN Engl J MedYear: 1998339848949710.1056/NEJM1998082033908019709041|
|Henry RM,Kostense PJ,Bos G,Dekker JM,Nijpels G,Heine RJ,Bouter LM,Stehouwer CD,Mild renal insufficiency is associated with increased cardiovascular mortality: The Hoorn StudyKidney IntYear: 20026241402140710.1111/j.1523-1755.2002.kid571.x12234312|
|Holdaas H,Fellstrom B,Jardine AG,Holme I,Nyberg G,Fauchald P,Gronhagen-Riska C,Madsen S,Neumayer HH,Cole E,et al. Effect of fluvastatin on cardiac outcomes in renal transplant recipients: a multicentre, randomised, placebo-controlled trialLancetYear: 200336193742024203110.1016/S0140-6736(03)13638-012814712|
|McCullough PA,Wolyn R,Rocher LL,Levin RN,O'Neill WW,Acute renal failure after coronary intervention: incidence, risk factors, and relationship to mortalityAm J MedYear: 1997103536837510.1016/S0002-9343(97)00150-29375704|
|Tonelli M,Moye L,Sacks FM,Cole T,Curhan GC,Effect of pravastatin on loss of renal function in people with moderate chronic renal insufficiency and cardiovascular diseaseJ Am Soc NephrolYear: 20031461605161310.1097/01.ASN.0000068461.45784.2F12761262|
|Anavekar NS,Solomon SD,McMurray JJ,Maggioni A,Rouleau JL,Califf R,White H,Kober L,Velazquez E,Pfeffer MA,Comparison of renal function and cardiovascular risk following acute myocardial infarction in patients with and without diabetes mellitusAm J CardiolYear: 2008101792592910.1016/j.amjcard.2007.11.03718359309|
|Amin AP,Spertus JA,Reid KJ,Lan X,Buchanan DM,Decker C,Masoudi FA,The prognostic importance of worsening renal function during an acute myocardial infarction on long-term mortalityAm Heart J160610651071|
|Rodrigues FB,Bruetto RG,Torres US,Otaviano AP,Zanetta DM,Burdmann EA,Effect of kidney disease on acute coronary syndromeClin J Am Soc Nephrol5815301536|
|Santopinto JJ,Fox KA,Goldberg RJ,Budaj A,Pinero G,Avezum A,Gulba D,Esteban J,Gore JM,Johnson J,et al. Creatinine clearance and adverse hospital outcomes in patients with acute coronary syndromes: findings from the global registry of acute coronary events (GRACE)HeartYear: 20038991003100810.1136/heart.89.9.100312923009|
|Fox KA,Dabbous OH,Goldberg RJ,Pieper KS,Eagle KA,Van de Werf F,Avezum A,Goodman SG,Flather MD,Anderson FA Jr,et al. Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE)BMJYear: 20063337578109110.1136/bmj.38985.646481.5517032691|
|Szummer K,Lundman P,Jacobson SH,Schon S,Lindback J,Stenestrand U,Wallentin L,Jernberg T,Relation between renal function, presentation, use of therapies and in-hospital complications in acute coronary syndrome: data from the SWEDEHEART registerJ Intern Med26814049|
|Gibson CM,Pinto DS,Murphy SA,Morrow DA,Hobbach HP,Wiviott SD,Giugliano RP,Cannon CP,Antman EM,Braunwald E,Association of creatinine and creatinine clearance on presentation in acute myocardial infarction with subsequent mortalityJ Am Coll CardiolYear: 20034291535154310.1016/j.jacc.2003.06.00114607434|
|Januzzi JL,Cannon CP,DiBattiste PM,Murphy S,Weintraub W,Braunwald E,Effects of renal insufficiency on early invasive management in patients with acute coronary syndromes (The TACTICS-TIMI 18 Trial)Am J CardiolYear: 200290111246124910.1016/S0002-9149(02)02844-812450608|
|Wright RS,Reeder GS,Herzog CA,Albright RC,Williams BA,Dvorak DL,Miller WL,Murphy JG,Kopecky SL,Jaffe AS,Acute myocardial infarction and renal dysfunction: a high-risk combinationAnn Intern MedYear: 2002137756357012353943|
|Freeman RV,Mehta RH,Al Badr W,Cooper JV,Kline-Rogers E,Eagle KA,Influence of concurrent renal dysfunction on outcomes of patients with acute coronary syndromes and implications of the use of glycoprotein IIb/IIIa inhibitorsJ Am Coll CardiolYear: 200341571872410.1016/S0735-1097(02)02956-X12628712|
|Tokmakova MP,Skali H,Kenchaiah S,Braunwald E,Rouleau JL,Packer M,Chertow GM,Moye LA,Pfeffer MA,Solomon SD,Chronic kidney disease, cardiovascular risk, and response to angiotensin-converting enzyme inhibition after myocardial infarction: the Survival And Ventricular Enlargement (SAVE) studyCirculationYear: 2004110243667367310.1161/01.CIR.0000149806.01354.BF15569840|
|Szummer K,Lundman P,Jacobson SH,Schon S,Lindback J,Stenestrand U,Wallentin L,Jernberg T,Influence of renal function on the effects of early revascularization in non-ST-elevation myocardial infarction: data from the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART)CirculationYear: 20091201085185810.1161/CIRCULATIONAHA.108.83816919704097|
Patient characteristics according to classification of renal function by eGFR.
|eGFR group 1
eGFR ≥ 75.0 ml per minute per 1.73 m2
(n = 1772)
2 60.0 ≤ ≤74.9 ml per minute per 1.73 m2
(n = 2071)
|eGFR group 3
45 ≤ ≤59.9 ml per minute per 1.73 m2
(n = 1726)
|eGFR group 4
eGFR <45 ml per minute per 1.73 m2
(n = 1107)
|Body mass index (SD)||25,8||25.9||25.6||25.2||<0.0001|
|Creatinine (mean), μmol/l||80.1||95.6||112.1||174.5||<0.0001|
|Digoxin at discharge,%***||7.2||13.9||21.0||31.3||<0.0001|
|ACE inhibitor at discharge,%***||4.2||5.8||9.8||15.3||<0.0001|
|Wall motion index,%|
*for difference between groups.
** Worst Killip class during index hospitalization
SD, standard deviation; NYHA, New York Heart Association;
P-values calculated with the use of chi2-test for discrete variables and t-test for continuous variables.
****During hospital stay (day 5 to discharge)
Three proportional hazards models of mortality as a function of time with stepwise addition of variables
|0-2 years||2-4 years||4-6 years||6-8 years||8-10 years||10-12 years||12-14 years||14-16 years||16-years|
|N = 6676||N = 4702||N = 4022||N = 3474||N = 2978||N = 2526||N = 2152||N = 1854||N = 1576|
|eGFRgroup 2 vs. 1||1.15||0.98-1.36||0.86||0.68-1.08||0.88||0.69-1.12||1.10||0.86-1.41||0.92||0.71-1.20||1.06||0.81-1.38||0.87||0.64-1.17||1.08||0.80-1.45||0.89||0.57-1.38|
|eGFRgroup 3 vs. 1||1.48||1.26-1.75||1.04||0.82-1.33||1.10||0.85-1.41||0.89||0.67-1.18||1.29||0.98-1.69||1.30||0.96-1.76||1.10||0.78-1.53||1.09||0.76-1.56||0.81||0.46-1.42|
|eGFRgroup 4 vs. 1||1.97||1.65-2.35||1.72||1.32-2.24||1.35||0.99-1.84||1.71||1.23-2.37||1.68||1.16-2.42||1.84||1.20-2.83||1.58||0.96-2.59||1.92||1.13-3.26||1.89||0.78-4.55|
In all models either cregroup or eGFR were included in the model.
*95% confidence interval
**Hazard ratio associated with 1 eGFR group improvement
***Other covariates in model 2: Body mass index, previous AMI, angina pectoris, congestive heart failure, diabetes mellitus, wall motion index, systemic hypertension, thrombolytic therapy.
****Hazard ratio associated with an increase in age of 10 years.
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