Background End-stage renal disease substantially increases therisks of death, cardiovascular disease, and use of specializedhealth care, but the effects of less severe kidney dysfunctionon these outcomes are less well defined.
Methods We estimated the longitudinal glomerular filtrationrate (GFR) among 1,120,295 adults within a large, integratedsystem of health care delivery in whom serum creatinine hadbeen measured between 1996 and 2000 and who had not undergonedialysis or kidney transplantation. We examined the multivariableassociation between the estimated GFR and the risks of death,cardiovascular events, and hospitalization.
Conclusions An independent, graded association was observedbetween a reduced estimated GFR and the risk of death, cardiovascularevents, and hospitalization in a large, community-based population.These findings highlight the clinical and public health importanceof chronic renal insufficiency.
More than 400,000 Americans have end-stage renal disease, andover 300,000 of these patients require maintenance dialysis.1Mortality rates remain above 20 percent per year with the useof dialysis, with more than half of the deaths related to cardiovasculardisease. The annual direct medical costs for end-stage renaldisease are nearly $23 billion.1 Although an estimated 8 millionadults in the United States have chronic kidney disease of atleast stage 3 (as defined by an estimated glomerular filtrationrate [GFR] of less than 60 ml per minute per 1.73 m2 of body-surfacearea),2 less is known about the rates of death, cardiovasculardisease, and resource use among persons with a reduced estimatedGFR who are not yet receiving maintenance dialysis.
Several, but not all, previous studies suggested that mild-to-moderateelevations in serum creatinine levels are associated with increasedrates of death from any cause3,4,5,6,7,8,9 and from cardiovascularcauses,5,7,10,11,12,13 but whether chronic kidney disease independentlyincreases the risk of any type of cardiovascular disease hasnot been established.4,5,6,7,14 Furthermore, previous studieshave been limited by the inclusion of relatively small numbersof persons with kidney disease,3,4,5,6,7,8,11,12,13,14,15,16,17the use of dichotomous groups of estimated kidney function,3,4,5,6,7,8,15the use of the serum creatinine level alone as a proxy for GFRand nonuniform cutoff values to define kidney disease,3,4,5,6,7,8,9,10,11,15lack of information on longitudinal changes in GFR and coexistingconditions,3,4,5,6,7,8,9,10,11,14,15,16,17 selected populations,6,8,11,14,16and populations with limited racial or ethnic diversity. Inaddition, few studies have investigated the association betweenchronic kidney disease and the risk of hospitalization,18 whichhas important economic implications.
Using longitudinal measures of estimated GFR, a more accuratemethod of assessing kidney function than the measurement ofserum creatinine alone, we examined the effect of the severityof kidney dysfunction on the risks of death, cardiovascularevents, and hospitalization among a large, diverse group ofadults. We hypothesized that there would be a graded, independentassociation between the estimated GFR and the risks of theseoutcomes.
Methods
Study Sample and Measures of Kidney Function
The Kaiser Permanente Renal Registry included all adult members(20 years of age or older) of Kaiser Permanente of NorthernCalifornia, a large integrated health care system insuring morethan 35 percent of the adult population of the San FranciscoBay Area, whose kidney function was known. To be eligible forthe registry, the subjects had to have had one or more outpatientdeterminations of serum creatinine levels recorded in a health-planlaboratory database between January 1, 1996, and December 31,2000. We excluded subjects who had already received a kidneytransplant or who were receiving maintenance dialysis at entry.Given the nature of the study, the institutional review boardof the Kaiser Foundation Research Institute determined thatinformed consent was not required.
We used the abbreviated Modification of Diet in Renal Disease(MDRD) equation to estimate the GFR.19,20 We calibrated themeasurement of serum creatinine by the Kaiser regional laboratoryagainst that of the MDRD core laboratory.21 The date of thefirst measurement of GFR during the study period was consideredthe subject's index date (baseline). Changes in GFR during follow-upwere estimated from serum creatinine determinations not associatedwith hospitalizations to reflect more accurately stable estimatesof kidney function. We used a modified National Kidney Foundationclassification of chronic kidney disease,22 which classifiesestimated GFR in the following ranges: at least 60 ml per minuteper 1.73 m2, 45 to 59 ml per minute per 1.73 m2 (stage 3a),30 to 44 ml per minute per 1.73 m2 (stage 3b), 15 to 29 ml perminute per 1.73 m2 (stage 4), and less than 15 ml per minuteper 1.73 m2 (stage 5).
Characteristics of the Subjects
Data on age, sex, and racial or ethnic group were obtained fromhealth-plan databases. All names and identifiers were removedbefore any data were analyzed, according to procedures approvedby the institutional review board at Kaiser.
We identified coexisting illnesses using validated methods23,24,25,26based on health-plan databases for hospitalization-dischargediagnoses, ambulatory diagnoses, laboratory results, and medicationprescriptions, as well as regional cancer-registry data24 (diagnosticcriteria are listed in the Appendix). These diagnoses includedcoronary disease, stroke or transient ischemic attack, heartfailure, peripheral arterial disease, diabetes mellitus, hypertension,dyslipidemia, lung or liver disease, cancer, and dementia. Wealso evaluated laboratory-database entries for serum albuminto identify subjects with a value of 3.5 g per deciliter orless. The presence of proteinuria was based on laboratory-databaseentries of urine dipstick results of 1+ or greater (approximately30 mg per deciliter or greater) in the absence of a possibleurinary tract infection (i.e., concomitant positive test forurinary nitrite or esterase).
Socioeconomic status was assigned with the use of 2000 U.S.Census-block data, which generally correspond to city blocksor neighborhoods.28 Subjects with a low income were definedas those living in a Census-block group with a median annualhousehold income under $35,000, and those with a low level ofeducation were categorized as those living in a Census-blockgroup in which more than 25 percent of residents older than25 years had less than a 12th-grade education.
Outcomes
Data on subjects were censored if they underwent kidney transplantationor disenrolled from the health plan, which was defined as acontinuous gap in membership of more than 90 days without theinterim use of services. Incident end-stage renal disease, definedby the receipt of maintenance dialysis or a kidney transplant,was identified from a comprehensive health-plan registry.29The primary outcomes of interest included death from any cause,cardiovascular events, and hospitalizations through December31, 2000. Death was identified from a search of health-plandatabases and the California death registry.30 A cardiovascularevent was defined as hospitalization for coronary disease, heartfailure, stroke, or peripheral arterial disease (see the Appendix).
Statistical Analysis
Event rates were directly adjusted for age with the use of theage distribution of the adult source population and are presentedas the number of events per 100 person-years, with 95 percentconfidence intervals. To evaluate the independent effect ofthe estimated GFR on outcomes, we used Cox proportional-hazardsmodels with time-dependent covariates for changing GFR and coexistingillnesses. All variables known to be associated with eitherthe estimated GFR or the outcomes were included in the finalmodels, along with any variables associated with a reduced estimatedGFR (i.e., less than 60 ml per minute per 1.73 m2) in univariateanalyses with a P value of less than 0.01. Age was entered asa categorical variable (20 to 49, 50 to 59, 60 to 69, 70 to79, and 80 years or older), with other covariates included asdichotomous variables. For recurrent outcomes of cardiovascularevents and hospitalizations, we used a "sandwich" estimate ofthe variancecovariance matrix to obtain standard errorsaccommodating the clustering of observations on subjects.31In the model for death, we did not include cardiovascular eventsor hospitalizations that occurred after the index date, sincethey were hypothesized to be part of the pathway by which reducedGFR may increase the risk of death.
Each subject and time was assigned an estimated GFR with theuse of the last-value-carried-forward method. Given the varyingnumbers and spacing of measurements of GFR for each subject,this approach may preferentially attribute outcome events tohigher levels of GFR. To address this possibility we analyzeda subgroup of subjects who had had regular serum creatininedeterminations spaced between 1 and 14 months apart throughoutfollow-up. Also, although age and sex are important predictorsof adverse events and are incorporated into the MDRD equation,we found no interactions among age, sex, and GFR and thus presentonly the main-model results.
All analyses were conducted with the use of SAS software (version8.2). The institutional review board of each collaborating institutionapproved the study.
Results
Baseline Characteristics
We identified 1,120,295 adults who had had one or more outpatientmeasurements of serum creatinine, had not previously receiveddialysis or a kidney transplant, and were alive on the indexdate. The median number of outpatient measurements of serumcreatinine per subject during follow-up was three (interquartilerange, one to four).
Subjects with a low estimated GFR at baseline were older thanthose with an estimated GFR of at least 60 ml per minute per1.73 m2, and there was greater minority-group representationamong subjects with a low estimated GFR (Table 1). As comparedwith the group with an estimated GFR of at least 60 ml per minuteper 1.73 m2, the groups with a reduced estimated GFR also hada higher prevalence of prior cardiovascular disease, proteinuria,diabetes, hypertension, a serum albumin level of 3.5 g per deciliteror less, prior hospitalizations, and other coexisting illnesses(Table 1). Among the 60.7 percent of subjects who had one ormore urine dipstick determinations at any time during follow-up,17.6 percent were found to have proteinuria. Among the 21.2percent of subjects who had one or more serum albumin determinationsat any time during follow-up, 27.8 percent were found to havereduced levels.
Table 1. Baseline Characteristics of 1,120,295 Ambulatory Adults, According to the Estimated GFR at Baseline.
Outcomes According to the Estimated GFR
The median follow-up among the 1,120,295 subjects was 2.84 years(interquartile range, 1.65 to 4.01), which amounts to 3,132,192person-years. Overall, 21.8 percent of subjects disenrolledduring follow-up, but those who disenrolled were substantiallyyounger, were relatively unlikely to have a reduced estimatedGFR, and had fewer coexisting illnesses than those who remainedenrolled (data not shown). The vital status was complete forall subjects.
During follow-up, 3171 (0.28 percent) subjects began maintenancedialysis and 329 (0.03 percent) underwent kidney transplantation.There were 51,424 deaths, 138,291 cardiovascular events, and554,651 hospitalizations. Age-standardized rates of death, cardiovascularevents, and hospitalization increased substantially with progressivelylower estimated GFRs (Figure 1).
Figure 1. Age-Standardized Rates of Death from Any Cause (Panel A), Cardiovascular Events (Panel B), and Hospitalization (Panel C), According to the Estimated GFR among 1,120,295 Ambulatory Adults.
A cardiovascular event was defined as hospitalization for coronary heart disease, heart failure, ischemic stroke, and peripheral arterial disease. Error bars represent 95 percent confidence intervals. The rate of events is listed above each bar.
The group of subjects with an estimated GFR of at least 60 mlper minute per 1.73 m2 was used as the reference group in theanalysis of the association between the level of the estimatedGFR and each outcome. After adjustment for differences in sociodemographiccharacteristics and the presence or absence of prior cardiovasculardisease, prior hospitalizations, diabetes, hypertension, dyslipidemia,lung or liver disease, cancer, a serum albumin level of 3.5g per deciliter or less, dementia, proteinuria, and the initiationof dialysis during follow-up, the risk of death from any causeincreased sharply as the estimated GFR declined, ranging froma 17 percent increase in risk with an estimated GFR of 45 to59 ml per minute per 1.73 m2 to a nearly 600 percent increasewith an estimated GFR of less than 15 ml per minute per 1.73m2 (Table 2). The adjusted risk of any cardiovascular eventalso increased as the estimated GFR decreased, ranging froma 43 percent increase in risk with an estimated GFR of 45 to59 ml per minute per 1.73 m2 to a 343 percent increase withan estimated GFR of less than 15 ml per minute per 1.73 m2 (Table 2).Finally, the adjusted risk of hospitalization increasedas the estimated GFR decreased, ranging from an increase of14 percent with an estimated GFR of 45 to 59 ml per minute per1.73 m2 to an increase of 315 percent with an estimated GFRof less than 15 ml per minute per 1.73 m2 (Table 2). The presenceof documented proteinuria was also an independent predictorof death (adjusted hazard ratio, 1.3; 95 percent confidenceinterval, 1.3 to 1.4), cardiovascular events (adjusted hazardratio, 1.3; 95 percent confidence interval, 1.2 to 1.3), andhospitalization (adjusted hazard ratio, 1.4; 95 percent confidenceinterval, 1.4 to 1.4).
Table 2. Adjusted Hazard Ratio for Death from Any Cause, Cardiovascular Events, and Hospitalization among 1,120,295 Ambulatory Adults, According to the Estimated GFR.
In a subgroup of 172,144 subjects who had regular measurementsof serum creatinine during follow-up (mean [±SD] numberof measurements, 3.3±2.1; mean interval between measurements,7.5±3.4 months), the adjusted risks of adverse outcomesdiffered materially from those for the entire cohort only amongthe subjects with an estimated GFR of 45 to 59 ml per minuteper 1.73 m2. In the analysis of the subgroup itself, as comparedwith the subjects with an estimated GFR of at least 60 ml perminute per 1.73 m2, the subjects with an estimated GFR of 45to 59 ml per minute per 1.73 m2 had a similar adjusted hazardratio for death (1.0; 95 percent confidence interval, 1.0 to1.1) and hospitalization (1.0; 95 percent confidence interval,1.0 to 1.0). The adjusted risk of cardiovascular events wasalso attenuated (1.2; 95 percent confidence interval, 1.1 to1.3).
Discussion
Among a large, diverse population of adults, a reduced estimatedGFR was associated with increased risks of death, cardiovascularevents, and hospitalization that were independent of known riskfactors, a history of cardiovascular disease, and the presenceof documented proteinuria. Our study demonstrates that thesegraded risks of adverse events rose sharply for subjects withan estimated GFR of less than 45 ml per minute per 1.73 m2 foreach outcome examined both in the overall cohort and in subgroupanalyses. Furthermore, in the cohort as a whole, the absoluterates of these outcomes were considerably higher than the riskof end-stage renal disease.
There has been rapidly growing interest in the relation betweenkidney disease and the risk of death and cardiovascular disease.With recognition that the presence of chronic kidney diseasethat does not necessitate dialysis is of considerable importance,several studies have examined the association of different cutoffvalues of serum creatinine with the risks of death from anycause, death from cardiovascular causes, and cardiovascularevents, and most,3,4,6,7,8,9,10,11,12,15 but not all,5,13 ofthese studies have found increased risks with higher serum creatininelevels. Others have noted high rates of hospitalization amongpersons with elevated serum creatinine levels.18 However, sinceserum creatinine levels are not linearly associated with GFR,32the use of predictive equations (the CockcroftGault equationfor creatinine clearance33 and the MDRD equation for estimatedGFR19) has been proposed as a more accurate means of estimatingthe GFR, with the MDRD equation having better predictive abilityin certain populations.20
Relatively few studies have evaluated the estimated GFR andthe risk of outcomes in the general population. In the SecondNational Health and Nutrition Examination Survey (NHANES II),12an estimated GFR of less than 70 ml per minute per 1.73 m2 wasassociated with a 68 percent increase in the risk of death fromany cause and a 51 percent increase in the risk of death fromcardiovascular causes, as compared with an estimated GFR ofat least 90 ml per minute per 1.73 m2. In the AtherosclerosisRisk in Communities Study,17 an estimated GFR of 15 to 59 mlper minute per 1.73 m2 at baseline was associated with a 38percent increase in the risk of cardiovascular disease, as comparedwith an estimated GFR of 90 to 150 ml per minute per 1.73 m2.Similar results were obtained in a cohort of older adults (atleast 65 years of age)16 for an estimated GFR of 15 to 59 mlper minute per 1.73 m2, as compared with an estimated GFR of90 to 130 ml per minute per 1.73 m2. However, the NHANES I EpidemiologicFollow-up Study did not find a significant association betweenan estimated GFR of approximately 30 to 60 ml per minute per1.73 m2 and the risk of death from any cause or death from cardiovascularcauses.13 In addition, in the Framingham Heart Study, an elevatedserum creatinine level 1.5 to 3.0 mg per deciliter (133to 265 µmol per liter) in men and 1.4 to 3.0 mg per deciliter(124 to 265 µmol per liter) in women was associatedwith a significant risk of death among men but not women andwas not associated with the risk of cardiovascular events ineither sex.5
These studies were limited by the use of a single measurementof kidney function, the use of a broad range of definitionsof diminished kidney function, and the inclusion of relativelysmall numbers of persons with kidney disease, thus limitingtheir statistical power to examine different levels of reducedGFR. Furthermore, although several studies used the MDRD equationto estimate GFR, serum creatinine measurements were not directlycalibrated to the values of the MDRD laboratory, so the absolutethreshold level of GFR associated with adverse outcomes cannotbe known with confidence.
Our study further delineates the relation between the GFR andthe risk of adverse events. We found nonlinear relations betweenthe GFR and the risks of death, cardiovascular events, and hospitalization,with an increased risk associated with an estimated GFR of lessthan 60 ml per minute per 1.73 m2, which further rose sharplywhen values dropped below 45 ml per minute per 1.73 m2. We foundthat an estimated GFR of 15 to 29 ml per minute per 1.73 m2and an estimated GFR of less than 15 ml per minute per 1.73m2 in the absence of dialysis were associated with strikinglyhigh age-adjusted mortality rates (11.4 and 14.1 per 100 person-years,respectively). These rates approach the rates among patientswith treated end-stage renal disease.1 Although the preventionof end-stage renal disease remains a very important goal inpatients with kidney disease, more effective interventions areclearly needed to reduce the disproportionate cardiovascularand economic burden in this population.
Multiple possible explanations exist for the association betweenchronic kidney disease and increased risks of death and cardiovasculardisease. We observed an increased prevalence of prior cardiovasculardisease, known risk factors for cardiovascular events and death,and coexisting conditions with lower levels of the estimatedGFR. However, a reduced estimated GFR was an independent andstrong risk factor for adverse outcomes. Reduced kidney functionis also associated with increased levels of inflammatory factors,34,35abnormal apolipoprotein levels,34 elevated plasma homocysteine,34enhanced coagulability,35 anemia,36 left ventricular hypertrophy,37increased arterial calcification,38 endothelial dysfunction,39and arterial stiffness.40 Whether and how these and other factorsinteract to increase the risk of adverse outcomes remains unclearbut are the focus of ongoing investigations.41 Our large, ethnicallydiverse population is typical of patients receiving usual clinicalcare rather than referral populations, recruited cohorts, orclinical-trial participants, and thus, our results are probablymore generalizable. The inclusion of large numbers of subjectswith a spectrum of kidney disease also enabled us to make amore detailed evaluation of the effect of the level of the GFRon outcomes. Use of outpatient serum creatinine values thatwere directly calibrated to those of the MDRD core laboratoryincreased our confidence in the validity of the observed associationsof absolute, not just relative, levels of the estimated GFR.Most subjects had serial estimates of the GFR in order to characterizekidney function over time as accurately as possible. We hadcomplete records of deaths and hospitalizations among thesesubjects that occurred at health-plan and other facilities.Our study also shows that the use of a baseline estimate ofthe GFR alone may lead to the misattribution of events to acertain level of GFR measured in the distant past and to thesubsequent attenuation of the true strength of the associationbetween a reduced GFR and outcomes.
Our study had several limitations. As a study of subjects whoreceived usual clinical care, estimates of the GFR were notavailable for the entire source population. For example, patientswith a reduced GFR who did not use medical services would nothave been included. However, over half of adult members of thehealth plan had serum creatinine measurements, which allowedfor a robust assessment of the estimated GFR and outcomes amongmore than 1.1 million subjects. We did not have informationon tobacco or alcohol use, diet, physical activity, other possibleunmeasured confounders (e.g., body-mass index), or the severityof certain conditions (e.g., level of blood pressure or severityof diabetes). Nevertheless, residual confounding is unlikelyto explain the large effect estimates observed for most categoriesof a reduced estimated GFR. Finally, since our study was conductedamong insured adults in northern California, our results maynot be completely generalizable to uninsured persons or personsin other geographic regions.
In conclusion, we found an independent, graded association betweenlower levels of the estimated GFR and the risks of death, cardiovascularevents, and hospitalization. These risks were evident at anestimated GFR of less than 60 ml per minute per 1.73 m2 andsubstantially increased with an estimated GFR of less than 45ml per minute per 1.73 m2. Our findings support the validityof the National Kidney Foundation staging system for chronickidney disease22 but suggest that the system could be furtherrefined, since all persons with stage 3 chronic kidney disease(GFR, 30 to 59 ml per minute per 1.73 m2) may not be at equalrisk for each outcome. Our findings highlight the clinical andpublic health importance of chronic kidney disease that doesnot necessitate dialysis.
Supported by a grant (R01 DK58411) from the National Institutefor Diabetes, Digestive, and Kidney Diseases.
Presented in part at the 36th Annual Meeting of the AmericanSociety of Nephrology, San Diego, Calif., November 14 to 17,2003.
Dr. Go reports having received research support from Amgen.Dr. Chertow reports having received research support from Genzyme,Amgen, and Kureha Chemical and having served on advisory boardsfor Genzyme and Amgen.
Source Information
From the Division of Research, Kaiser Permanente of Northern California, Oakland (A.S.G., D.F.); and the Departments of Epidemiology and Biostatistics (A.S.G., G.M.C., C.E.M.) and Medicine (A.S.G., G.M.C., C.-y.H.), University of California, San Francisco, San Francisco.
Address reprint requests to Dr. Go at the Division of Research, Kaiser Permanente of Northern California, 2000 Broadway, 3rd Fl., Oakland, CA 94612-2304, or at alan.s.go{at}kp.org.
References
Renal Data System. USRDS 2003 annual data report: atlas of end-stage renal disease in the United States. Bethesda, Md.: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, 2003.
Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis 2003;41:1-12. [Web of Science][Medline]
Damsgaard EM, Froland A, Jorgensen OD, Mogensen CE. Microalbuminuria as predictor of increased mortality in elderly people. BMJ 1990;300:297-300. [Free Full Text]
Wannamethee SG, Shaper AG, Perry IJ. Serum creatinine concentration and risk of cardiovascular disease: a possible marker for increased risk of stroke. Stroke 1997;28:557-563. [Free Full Text]
Culleton BF, Larson MG, Wilson PW, Evans JC, Parfrey PS, Levy D. Cardiovascular disease and mortality in a community-based cohort with mild renal insufficiency. Kidney Int 1999;56:2214-2219. [CrossRef][Web of Science][Medline]
Ruilope LM, Salvetti A, Jamerson K, et al. Renal function and intensive lowering of blood pressure in hypertensive participants of the Hypertension Optimal Treatment (HOT) Study. J Am Soc Nephrol 2001;12:218-225. [Free Full Text]
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. [Free Full Text]
Langford HG, Stamler J, Wassertheil-Smoller S, Prineas RJ. All-cause mortality in the Hypertension Detection and Follow-up Program: findings for the whole cohort and for persons with less severe hypertension, with and without other traits related to risk of mortality. Prog Cardiovasc Dis 1986;29:Suppl 1:29-54. [CrossRef][Web of Science][Medline]
Drey N, Roderick P, Mullee M, Rogerson M. A population-based study of the incidence and outcomes of diagnosed chronic kidney disease. Am J Kidney Dis 2003;42:677-684. [CrossRef][Web of Science][Medline]
Shlipak MG, Simon JA, Grady D, Lin F, Wenger NK, Furberg CD. Renal insufficiency and cardiovascular events in postmenopausal women with coronary heart disease. J Am Coll Cardiol 2001;38:705-711. [Free Full Text]
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. [Free Full Text]
Muntner P, He J, Hamm L, Loria C, Whelton PK. Renal insufficiency and subsequent death resulting from cardiovascular disease in the United States. J Am Soc Nephrol 2002;13:745-753. [Free Full Text]
Garg AX, Clark WF, Haynes RB, House AA. Moderate renal insufficiency and the risk of cardiovascular mortality: results from the NHANES I. Kidney Int 2002;61:1486-1494. [CrossRef][Web of Science][Medline]
Wang JG, Staessen JA, Fagard RH, Birkenhager WH, Gong L, Liu L. Prognostic significance of serum creatinine and uric acid in older Chinese patients with isolated systolic hypertension. Hypertension 2001;37:1069-1074. [Free Full Text]
Shulman NB, Ford CE, Hall WD, et al. Prognostic value of serum creatinine and effect of treatment of hypertension on renal function: results from the Hypertension Detection and Follow-up Program. Hypertension 1989;13:Suppl:I-80.
Manjunath G, Tighiouart H, Coresh J, et al. Level of kidney function as a risk factor for cardiovascular outcomes in the elderly. Kidney Int 2003;63:1121-1129. [CrossRef][Web of Science][Medline]
Manjunath G, Tighiouart H, Ibrahim H, et al. Level of kidney function as a risk factor for atherosclerotic cardiovascular outcomes in the community. J Am Coll Cardiol 2003;41:47-55. [Free Full Text]
Khan SS, Kazmi WH, Abichandani R, Tighiouart H, Pereira BJ, Kausz AT. Health care utilization among patients with chronic kidney disease. Kidney Int 2002;62:229-236. [CrossRef][Web of Science][Medline]
Levey AS, Greene T, Kusek JW, Beck GJ. A simplified equation to predict glomerular filtration rate from serum creatinine. J Am Soc Nephrol 2000;11:155A-155A. abstract.
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. Ann Intern Med 1999;130:461-470. [Free Full Text]
Landis JR, Gaughan C, Joffe M. Inter-laboratory serum creatinine (sCr) calibration study. J Am Soc Nephrol 2003;14:294A-294A. abstract.
K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002;39:Suppl 1:S1-S266. [CrossRef][Web of Science][Medline]
Go AS, Hylek EM, Borowsky LH, Phillips KA, Selby JV, Singer DE. Warfarin use among ambulatory patients with nonvalvular atrial fibrillation: the anticoagulation and risk factors in atrial fibrillation (ATRIA) study. Ann Intern Med 1999;131:927-934. [Free Full Text]
Fireman BH, Fehrenbacher L, Gruskin EP, Ray GT. Cost of care for patients in cancer clinical trials. J Natl Cancer Inst 2000;92:136-142. [Free Full Text]
Alexander M, Tekawa I, Hunkeler E, et al. Evaluating hypertension control in a managed care setting. Arch Intern Med 1999;159:2673-2677. [Free Full Text]
Selby JV, Ray GT, Zhang D, Colby CJ. Excess costs of medical care for patients with diabetes in a managed care population. Diabetes Care 1997;20:1396-1402. [Abstract]
Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001;285:2486-2497. [Free Full Text]
Bureau of the Census. 2000 Census of population and housing: summary files 1 to 3. Washington, D.C.: Department of Commerce, 2001-2003.
Karter AJ, Ferrara A, Liu JY, Moffet HH, Ackerson LM, Selby JV. Ethnic disparities in diabetic complications in an insured population. JAMA 2002;287:2519-2527. [Erratum, JAMA 2002;288:46.] [Free Full Text]
Arellano MG, Petersen GR, Petitti DB, Smith RE. The California Automated Mortality Linkage System (CAMLIS). Am J Public Health 1984;74:1324-1330. [Free Full Text]
Therneau TM, Grambsch PM. Modeling survival data: extending the Cox model. New York: Springer, 2000.
Shemesh O, Golbetz H, Kriss JP, Myers BD. Limitations of creatinine as a filtration marker in glomerulopathic patients. Kidney Int 1985;28:830-838. [Web of Science][Medline]
Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron 1976;16:31-41. [Web of Science][Medline]
Muntner P, Hamm LL, Kusek JW, Chen J, Whelton PK, He J. The prevalence of nontraditional risk factors for coronary heart disease in patients with chronic kidney disease. Ann Intern Med 2004;140:9-17. [Free Full Text]
Shlipak MG, Fried LF, Crump C, et al. Elevations of inflammatory and procoagulant biomarkers in elderly persons with renal insufficiency. Circulation 2003;107:87-92. [Free Full Text]
Hsu CY, McCulloch CE, Curhan GC. Epidemiology of anemia associated with chronic renal insufficiency among adults in the United States: results from the Third National Health and Nutrition Examination Survey. J Am Soc Nephrol 2002;13:504-510. [Free Full Text]
Levin A, Thompson CR, Ethier J, et al. Left ventricular mass index increase in early renal disease: impact of decline in hemoglobin. Am J Kidney Dis 1999;34:125-134. [Medline]
Raggi P, Boulay A, Chasan-Taber S, et al. Cardiac calcification in adult hemodialysis patients: a link between end-stage renal disease and cardiovascular disease? J Am Coll Cardiol 2002;39:695-701. [Free Full Text]
Blacher J, Safar ME, Guerin AP, Pannier B, Marchais SJ, London GM. Aortic pulse wave velocity index and mortality in end-stage renal disease. Kidney Int 2003;63:1852-1860. [CrossRef][Web of Science][Medline]
London GM, Guerin AP, Marchais SJ, Metivier F, Pannier B, Adda H. Arterial media calcification in end-stage renal disease: impact on all-cause and cardiovascular mortality. Nephrol Dial Transplant 2003;18:1731-1740. [Free Full Text]
Feldman HI, Appel LJ, Chertow GM, et al. The Chronic Renal Insufficiency Cohort (CRIC) Study: design and methods. J Am Soc Nephrol 2003;14:Suppl 2:S148-S153. [Free Full Text]
Appendix
The following criteria and International Classification of Diseases,9th Revision, Clinical Modification (ICD-9-CM), and CurrentProcedural Terminology (CPT) codes, if relevant, were used todefine coexisting illnesses (Table 3).
Chronic Renal Disease and Cardiovascular Risk
Risch L., Sagmeister M., Huber A., Cheng H., Go A. S., Chertow G. M., Hsu C.-y., Anavekar N. S., McMurray J. J.V., Pfeffer M. A.
Extract |
Full Text |
PDF
N Engl J Med 2005;
352:199-200, Jan 13, 2005.
Correspondence
This article has been cited by other articles:
Munkhaugen, J., Lydersen, S., Romundstad, P. R., Wideroe, T.-E., Vikse, B. E., Hallan, S.
(2009). Kidney function and future risk for adverse pregnancy outcomes: a population-based study from HUNT II, Norway. Nephrol Dial Transplant
0: gfp320v1-gfp320
[Abstract][Full Text]
Kripalani, M., Shawcross, J., Reilly, J., Main, J.
(2009). Lithium and chronic kidney disease. BMJ
339: b2452-b2452
[Full Text]
Fujii, H., Nishijima, F., Goto, S., Sugano, M., Yamato, H., Kitazawa, R., Kitazawa, S., Fukagawa, M.
(2009). Oral charcoal adsorbent (AST-120) prevents progression of cardiac damage in chronic kidney disease through suppression of oxidative stress. Nephrol Dial Transplant
24: 2089-2095
[Abstract][Full Text]
Kastarinen, H., Horkko, S., Kauma, H., Karjalainen, A., Savolainen, M. J., Kesaniemi, Y. A.
(2009). Low-density lipoprotein clearance in patients with chronic renal failure. Nephrol Dial Transplant
24: 2131-2135
[Abstract][Full Text]
Parker, B. D., Ix, J. H., Cranenburg, E. C. M., Vermeer, C., Whooley, M. A., Schurgers, L. J.
(2009). Association of kidney function and uncarboxylated matrix Gla protein: Data from the Heart and Soul Study. Nephrol Dial Transplant
24: 2095-2101
[Abstract][Full Text]
Snyder, J. J., Collins, A. J.
(2009). Association of Preventive Health Care with Atherosclerotic Heart Disease and Mortality in CKD. J. Am. Soc. Nephrol.
20: 1614-1622
[Abstract][Full Text]
Weiner, D. E, Rifkin, D. E
(2009). Kidney function and the risk of cardiovascular disease. BMJ
338: b1307-b1307
[Full Text]
Kurth, T., Jong, P. E d., Cook, N. R, Buring, J. E, Ridker, P. M
(2009). Kidney function and risk of cardiovascular disease and mortality in women: a prospective cohort study. BMJ
338: b2392-b2392
[Abstract][Full Text]
Einhorn, L. M., Zhan, M., Hsu, V. D., Walker, L. D., Moen, M. F., Seliger, S. L., Weir, M. R., Fink, J. C.
(2009). The Frequency of Hyperkalemia and Its Significance in Chronic Kidney Disease. Arch Intern Med
169: 1156-1162
[Abstract][Full Text]
Petersen, L. A., Woodard, L. D., Henderson, L. M., Urech, T. H., Pietz, K.
(2009). Will Hypertension Performance Measures Used for Pay-for-Performance Programs Penalize Those Who Care for Medically Complex Patients?. Circulation
119: 2978-2985
[Abstract][Full Text]
Hage, F. G., Venkataraman, R., Zoghbi, G. J., Perry, G. J., DeMattos, A. M., Iskandrian, A. E.
(2009). The scope of coronary heart disease in patients with chronic kidney disease.. J Am Coll Cardiol
53: 2129-2140
[Abstract][Full Text]
Lopes, N. H., da Silva Paulitsch, F., Pereira, A., Garzillo, C. L., Ferreira, J. F., Stolf, N., Hueb, W.
(2009). Mild chronic kidney dysfunction and treatment strategies for stable coronary artery disease.. J. Thorac. Cardiovasc. Surg.
137: 1443-1449
[Abstract][Full Text]
Charytan, D. M., Wallentin, L., Lagerqvist, B., Spacek, R., De Winter, R. J., Stern, N. M., Braunwald, E., Cannon, C. P., Choudhry, N. K.
(2009). Early Angiography in Patients with Chronic Kidney Disease: A Collaborative Systematic Review. CJASN
4: 1032-1043
[Abstract][Full Text]
Windhausen, F., Hirsch, A., Fischer, J., van der Zee, P. M., Sanders, G. T., van Straalen, J. P., Cornel, J. H., Tijssen, J. G.P., Verheugt, F. W.A., de Winter, R. J., for the Invasive versus Conservative Treatment in,
(2009). Cystatin C for Enhancement of Risk Stratification in Non-ST Elevation Acute Coronary Syndrome Patients with an Increased Troponin T. Clin. Chem.
55: 1118-1125
[Abstract][Full Text]
Wong, G., Hayen, A., Chapman, J. R., Webster, A. C., Wang, J. J., Mitchell, P., Craig, J. C.
(2009). Association of CKD and Cancer Risk in Older People. J. Am. Soc. Nephrol.
20: 1341-1350
[Abstract][Full Text]
Anderson, S., Halter, J. B., Hazzard, W. R., Himmelfarb, J., Horne, F. M., Kaysen, G. A., Kusek, J. W., Nayfield, S. G., Schmader, K., Tian, Y., Ashworth, J. R., Clayton, C. P., Parker, R. P., Tarver, E. D., Woolard, N. F., High, K. P., for the workshop participants,
(2009). Prediction, Progression, and Outcomes of Chronic Kidney Disease in Older Adults. J. Am. Soc. Nephrol.
20: 1199-1209
[Abstract][Full Text]
Chan, J. C. N., Malik, V., Jia, W., Kadowaki, T., Yajnik, C. S., Yoon, K.-H., Hu, F. B.
(2009). Diabetes in Asia: Epidemiology, Risk Factors, and Pathophysiology. JAMA
301: 2129-2140
[Abstract][Full Text]
O'Hare, A. M., Kaufman, J. S., Covinsky, K. E., Landefeld, C. S., McFarland, L. V., Larson, E. B.
(2009). Current Guidelines for Using Angiotensin-Converting Enzyme Inhibitors and Angiotensin II-Receptor Antagonists in Chronic Kidney Disease: Is the Evidence Base Relevant to Older Adults?. ANN INTERN MED
150: 717-724
[Abstract][Full Text]
Gutierrez, O. M., Januzzi, J. L., Isakova, T., Laliberte, K., Smith, K., Collerone, G., Sarwar, A., Hoffmann, U., Coglianese, E., Christenson, R., Wang, T. J., deFilippi, C., Wolf, M.
(2009). Fibroblast Growth Factor 23 and Left Ventricular Hypertrophy in Chronic Kidney Disease. Circulation
119: 2545-2552
[Abstract][Full Text]
Covic, A., Kothawala, P., Bernal, M., Robbins, S., Chalian, A., Goldsmith, D.
(2009). Systematic review of the evidence underlying the association between mineral metabolism disturbances and risk of all-cause mortality, cardiovascular mortality and cardiovascular events in chronic kidney disease. Nephrol Dial Transplant
24: 1506-1523
[Abstract][Full Text]
Ravera, M., Noberasco, G., Re, M., Filippi, A., Gallina, A. M., Weiss, U., Cannavo, R., Ravera, G., Cricelli, C., Deferrari, G.
(2009). Chronic kidney disease and cardiovascular risk in hypertensive type 2 diabetics: a primary care perspective. Nephrol Dial Transplant
24: 1528-1533
[Abstract][Full Text]
Parving, H.-H., Brenner, B. M., McMurray, John. J. V., de Zeeuw, D., Haffner, S. M., Solomon, S. D., Chaturvedi, N., Ghadanfar, M., Weissbach, N., Xiang, Z., Armbrecht, J., Pfeffer, M. A.
(2009). Aliskiren Trial in Type 2 Diabetes Using Cardio-Renal Endpoints (ALTITUDE): rationale and study design. Nephrol Dial Transplant
24: 1663-1671
[Abstract][Full Text]
Perico, N., Bravo, R. F., De Leon, F. R., Remuzzi, G.
(2009). Screening for chronic kidney disease in emerging countries: feasibility and hurdles. Nephrol Dial Transplant
24: 1355-1358
[Full Text]
Foley, R. N., Wang, C., Snyder, J. J., Collins, A. J.
(2009). Cystatin C Levels in U.S. Adults, 1988-1994 Versus 1999-2002: NHANES. CJASN
4: 965-972
[Abstract][Full Text]
Yoshida, T., Kato, K., Fujimaki, T., Yokoi, K., Oguri, M., Watanabe, S., Metoki, N., Yoshida, H., Satoh, K., Aoyagi, Y., Nishigaki, Y., Tanaka, M., Nozawa, Y., Kimura, G., Yamada, Y.
(2009). Association of Genetic Variants with Chronic Kidney Disease in Japanese Individuals. CJASN
4: 883-890
[Abstract][Full Text]
Hsu, C.-y., Chertow, G. M., McCulloch, C. E., Fan, D., Ordonez, J. D., Go, A. S.
(2009). Nonrecovery of Kidney Function and Death after Acute on Chronic Renal Failure. CJASN
4: 891-898
[Abstract][Full Text]
Madero, M., Wassel, C. L., Peralta, C. A., Najjar, S. S., Sutton-Tyrrell, K., Fried, L., Canada, R., Newman, A., Shlipak, M. G., Sarnak, M. J., for the Health ABC Study,
(2009). Cystatin C Associates with Arterial Stiffness in Older Adults. J. Am. Soc. Nephrol.
20: 1086-1093
[Abstract][Full Text]
Connor, A
(2009). Novel therapeutic agents and strategies for the management of chronic kidney disease mineral and bone disorder. Postgrad. Med. J.
85: 274-279
[Abstract][Full Text]
Bell, M., Granath, F., Martensson, J., Lofberg, E., Ekbom, A., Martling, C.-R., of KING (Karolinska Intensive care Nephrology Grou,
(2009). Cystatin C is correlated with mortality in patients with and without acute kidney injury. Nephrol Dial Transplant
0: gfp196v1-gfp196
[Abstract][Full Text]
van Gestel, Y. R. B. M., Chonchol, M., Hoeks, S. E., Welten, G. M. J. M., Stam, H., Mertens, F. W., van Domburg, R. T., Poldermans, D.
(2009). Association between chronic obstructive pulmonary disease and chronic kidney disease in vascular surgery patients. Nephrol Dial Transplant
0: gfp171v1-gfp171
[Abstract][Full Text]
Kastarinen, H., Ukkola, O., Kesaniemi, Y. A.
(2009). Glomerular filtration rate is related to carotid intima-media thickness in middle-aged adults. Nephrol Dial Transplant
0: gfp172v1-gfp172
[Abstract][Full Text]
Koivuviita, N., Tertti, R., Jarvisalo, M., Pietila, M., Hannukainen, J., Sundell, J., Nuutila, P., Knuuti, J., Metsarinne, K.
(2009). Increased basal myocardial perfusion in patients with chronic kidney disease without symptomatic coronary artery disease. Nephrol Dial Transplant
0: gfp175v1-gfp175
[Abstract][Full Text]
Yokoyama, H., Sone, H., Oishi, M., Kawai, K., Fukumoto, Y., Kobayashi, M., on behalf of Japan Diabetes Clinical Data Manageme,
(2009). Prevalence of albuminuria and renal insufficiency and associated clinical factors in type 2 diabetes: the Japan Diabetes Clinical Data Management study (JDDM15). Nephrol Dial Transplant
24: 1212-1219
[Abstract][Full Text]
Pizzarelli, F., Lauretani, F., Bandinelli, S., Windham, G. B., Corsi, A. M., Giannelli, S. V., Ferrucci, L., Guralnik, J. M.
(2009). Predictivity of survival according to different equations for estimating renal function in community-dwelling elderly subjects. Nephrol Dial Transplant
24: 1197-1205
[Abstract][Full Text]
Reinecke, H., Brand, E., Mesters, R., Schabitz, W.-R., Fisher, M., Pavenstadt, H., Breithardt, G.
(2009). Dilemmas in the Management of Atrial Fibrillation in Chronic Kidney Disease. J. Am. Soc. Nephrol.
20: 705-711
[Abstract][Full Text]
van der Velde, M., Halbesma, N., de Charro, F. T., Bakker, S. J.L., de Zeeuw, D., de Jong, P. E., Gansevoort, R. T.
(2009). Screening for Albuminuria Identifies Individuals at Increased Renal Risk. J. Am. Soc. Nephrol.
20: 852-862
[Abstract][Full Text]
Noiri, E., Doi, K., Negishi, K., Tanaka, T., Hamasaki, Y., Fujita, T., Portilla, D., Sugaya, T.
(2009). Urinary fatty acid-binding protein 1: an early predictive biomarker of kidney injury. Am. J. Physiol. Renal Physiol.
296: F669-F679
[Abstract][Full Text]
Koleganova, N., Piecha, G., Ritz, E., Schirmacher, P., Muller, A., Meyer, H.-P., Gross, M.-L.
(2009). Arterial calcification in patients with chronic kidney disease. Nephrol Dial Transplant
0: gfp137v1-gfp137
[Abstract][Full Text]
Go, A. S., Fang, M. C., Udaltsova, N., Chang, Y., Pomernacki, N. K., Borowsky, L., Singer, D. E., for the ATRIA Study Investigators,
(2009). Impact of Proteinuria and Glomerular Filtration Rate on Risk of Thromboembolism in Atrial Fibrillation: The Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. Circulation
119: 1363-1369
[Abstract][Full Text]
Peralta, C. A., Katz, R., Madero, M., Sarnak, M., Kramer, H., Criqui, M. H., Shlipak, M. G.
(2009). The Differential Association of Kidney Dysfunction With Small and Large Arterial Elasticity: The Multiethnic Study of Atherosclerosis. Am J Epidemiol
169: 740-748
[Abstract][Full Text]
Diez, C., Mohr, P., Kuss, O., Osten, B., Silber, R.-E., Hofmann, H.-S.
(2009). Impact of Preoperative Renal Dysfunction on In-hospital Mortality After Solitary Valve and Combined Valve and Coronary Procedures.. Ann. Thorac. Surg.
87: 731-736
[Abstract][Full Text]
Asselbergs, F. W., Mozaffarian, D., Katz, R., Kestenbaum, B., Fried, L. F., Gottdiener, J. S., Shlipak, M. G., Siscovick, D. S.
(2009). Association of renal function with cardiac calcifications in older adults: the cardiovascular health study. Nephrol Dial Transplant
24: 834-840
[Abstract][Full Text]
Thilly, N., Boini, S., Kessler, M., Briancon, S., Frimat, L.
(2009). Management and control of hypertension and proteinuria in patients with advanced chronic kidney disease under nephrologist care or not: data from the AVENIR study (AVantagE de la Nephroprotection dans l'Insuffisance Renale). Nephrol Dial Transplant
24: 934-939
[Abstract][Full Text]
Poggio, E. D., Rule, A. D.
(2009). A critical evaluation of chronic kidney disease--should isolated reduced estimated glomerular filtration rate be considered a 'disease'?. Nephrol Dial Transplant
24: 698-700
[Full Text]
Sanchez-Villanueva, R., Bajo, A., del Peso, G., Fernandez-Reyes, M-J., Gonzalez, E., Romero, S., Estrada, P., Selgas, R.
(2009). Higher daily peritoneal protein clearance when initiating peritoneal dialysis is independently associated with peripheral arterial disease (PAD): A possible new marker of systemic endothelial dysfunction?. Nephrol Dial Transplant
24: 1009-1014
[Abstract][Full Text]
Patel, P. C., Ayers, C. R., Murphy, S. A., Peshock, R., Khera, A., de Lemos, J. A., Balko, J. A., Gupta, S., Mammen, P. P.A., Drazner, M. H., Markham, D. W.
(2009). Association of Cystatin C With Left Ventricular Structure and Function: The Dallas Heart Study. Circ Heart Fail
2: 98-104
[Abstract][Full Text]
Gansevoort, R. T., de Jong, P. E.
(2009). The Case for Using Albuminuria in Staging Chronic Kidney Disease. J. Am. Soc. Nephrol.
20: 465-468
[Full Text]
Sim, J. J., Rasgon, S. A., Kujubu, D. A., Kumar, V. A., Liu, I. L. A., Shi, J. M., Pham, T. T., Derose, S. F.
(2009). Sleep Apnea in Early and Advanced Chronic Kidney Disease: Kaiser Permanente Southern California Cohort. Chest
135: 710-716
[Abstract][Full Text]
Carrero, J. J., Qureshi, A. R., Parini, P., Arver, S., Lindholm, B., Barany, P., Heimburger, O., Stenvinkel, P.
(2009). Low Serum Testosterone Increases Mortality Risk among Male Dialysis Patients. J. Am. Soc. Nephrol.
20: 613-620
[Abstract][Full Text]
Szczech, L. A., Harmon, W., Hostetter, T. H., Klotman, P. E., Powe, N. R., Sedor, J. R., Smedberg, P., Himmelfarb, J.
(2009). World Kidney Day 2009: Problems and Challenges in the Emerging Epidemic of Kidney Disease. J. Am. Soc. Nephrol.
20: 453-455
[Full Text]
Agarwal, R., Alborzi, P., Satyan, S., Light, R. P.
(2009). Dry-Weight Reduction in Hypertensive Hemodialysis Patients (DRIP): A Randomized, Controlled Trial. Hypertension
53: 500-507
[Abstract][Full Text]
Hsu, C.-y., Iribarren, C., McCulloch, C. E., Darbinian, J., Go, A. S.
(2009). Risk Factors for End-Stage Renal Disease: 25-Year Follow-up. Arch Intern Med
169: 342-350
[Abstract][Full Text]
Damman, K., van Deursen, V. M., Navis, G., Voors, A. A., van Veldhuisen, D. J., Hillege, H. L.
(2009). Increased central venous pressure is associated with impaired renal function and mortality in a broad spectrum of patients with cardiovascular disease.. J Am Coll Cardiol
53: 582-588
[Abstract][Full Text]
NEOGI, T., ELLISON, R. C., HUNT, S., TERKELTAUB, R., FELSON, D. T., ZHANG, Y.
(2009). Serum Uric Acid Is Associated with Carotid Plaques: The National Heart, Lung, and Blood Institute Family Heart Study. The Journal of Rheumatology
36: 378-384
[Abstract][Full Text]
Keller, T., Messow, C. M., Lubos, E., Nicaud, V., Wild, P. S., Rupprecht, H. J., Bickel, C., Tzikas, S., Peetz, D., Lackner, K. J., Tiret, L., Munzel, T. F., Blankenberg, S., Schnabel, R. B.
(2009). Cystatin C and cardiovascular mortality in patients with coronary artery disease and normal or mildly reduced kidney function: results from the AtheroGene study. Eur Heart J
30: 314-320
[Abstract][Full Text]
Agrawal, V., Ghosh, A. K., Barnes, M. A., McCullough, P. A.
(2009). Perception of Indications for Nephrology Referral among Internal Medicine Residents: A National Online Survey. CJASN
4: 323-328
[Abstract][Full Text]
den Hartog, J. R., Reese, P. P., Cizman, B., Feldman, H. I.
(2009). The Costs and Benefits of Automatic Estimated Glomerular Filtration Rate Reporting. CJASN
4: 419-427
[Abstract][Full Text]
Cheung, C. K., Bhandari, S.
(2009). Perspectives on eGFR reporting from the Interface between Primary and Secondary Care. CJASN
4: 258-260
[Abstract][Full Text]
Isakova, T., Gutierrez, O. M., Chang, Y., Shah, A., Tamez, H., Smith, K., Thadhani, R., Wolf, M.
(2009). Phosphorus Binders and Survival on Hemodialysis. J. Am. Soc. Nephrol.
20: 388-396
[Abstract][Full Text]
Shroff, R.
(2009). MONITORING CARDIOVASCULAR RISK FACTORS IN CHILDREN ON DIALYSIS. pdi
29: S173-S175
[Abstract][Full Text]
Razzaque, M. S.
(2009). Does FGF23 toxicity influence the outcome of chronic kidney disease?. Nephrol Dial Transplant
24: 4-7
[Full Text]
Kobayashi, M., Hirawa, N., Yatsu, K., Kobayashi, Y., Yamamoto, Y., Saka, S., Andoh, D., Toya, Y., Yasuda, G., Umemura, S.
(2009). Relationship between silent brain infarction and chronic kidney disease. Nephrol Dial Transplant
24: 201-207
[Abstract][Full Text]
Moranne, O., Froissart, M., Rossert, J., Gauci, C., Boffa, J.-J., Haymann, J. P., M'rad, M. B., Jacquot, C., Houillier, P., Stengel, B., Fouqueray, B., the NephroTest Study Group,
(2009). Timing of Onset of CKD-Related Metabolic Complications. J. Am. Soc. Nephrol.
20: 164-171
[Abstract][Full Text]
Deji, N., Kume, S., Araki, S.-i., Soumura, M., Sugimoto, T., Isshiki, K., Chin-Kanasaki, M., Sakaguchi, M., Koya, D., Haneda, M., Kashiwagi, A., Uzu, T.
(2009). Structural and functional changes in the kidneys of high-fat diet-induced obese mice. Am. J. Physiol. Renal Physiol.
296: F118-F126
[Abstract][Full Text]
Ninomiya, T., Kiyohara, Y., Tokuda, Y., Doi, Y., Arima, H., Harada, A., Ohashi, Y., Ueshima, H., for the Japan Arteriosclerosis Longitudinal Study,
(2008). Impact of Kidney Disease and Blood Pressure on the Development of Cardiovascular Disease: An Overview From the Japan Arteriosclerosis Longitudinal Study. Circulation
118: 2694-2701
[Abstract][Full Text]
Hakeem, A., Bhatti, S., Dillie, K. S., Cook, J. R., Samad, Z., Roth-Cline, M. D., Chang, S. M.
(2008). Predictive Value of Myocardial Perfusion Single-Photon Emission Computed Tomography and the Impact of Renal Function on Cardiac Death. Circulation
118: 2540-2549
[Abstract][Full Text]
Go, A. S., Yang, J., Gurwitz, J. H., Hsu, J., Lane, K., Platt, R.
(2008). Comparative Effectiveness of Different {beta}-Adrenergic Antagonists on Mortality Among Adults With Heart Failure in Clinical Practice. Arch Intern Med
168: 2415-2421
[Abstract][Full Text]
Saran, A. M., DuBose, T. D. Jr
(2008). Cardiovascular disease in chronic kidney disease. Ther Adv Cardiovasc Dis
2: 425-434
[Abstract]
Rambod, M., Kovesdy, C. P, Bross, R., Kopple, J. D, Kalantar-Zadeh, K.
(2008). Association of serum prealbumin and its changes over time with clinical outcomes and survival in patients receiving hemodialysis. Am. J. Clin. Nutr.
88: 1485-1494
[Abstract][Full Text]
Brantsma, A. H., Bakker, S. J. L., Hillege, H. L., de Zeeuw, D., de Jong, P. E., Gansevoort, R. T., for the PREVEND Study Group,
(2008). Cardiovascular and renal outcome in subjects with K/DOQI stage 1-3 chronic kidney disease: the importance of urinary albumin excretion. Nephrol Dial Transplant
23: 3851-3858
[Abstract][Full Text]
Silva, J., Ridao-Cano, N., Segura, A., Maroto, L. C., Cobiella, J., Carnero, M., Barrientos, A., Rodriguez, J. E.
(2008). Can estimated glomerular filtration rate improve the EuroSCORE?. ICVTS
7: 1054-1057
[Abstract][Full Text]
Murtagh, F. E. M., Murphy, E., Sheerin, N. S.
(2008). Illness trajectories: an important concept in the management of kidney failure. Nephrol Dial Transplant
23: 3746-3748
[Full Text]
Radbill, B., Murphy, B., LeRoith, D.
(2008). Rationale and Strategies for Early Detection and Management of Diabetic Kidney Disease. Mayo Clin Proc.
83: 1373-1381
[Abstract][Full Text]
Fukuda, M., Mizuno, M., Yamanaka, T., Motokawa, M., Shirasawa, Y., Nishio, T., Miyagi, S., Yoshida, A., Kimura, G.
(2008). Patients With Renal Dysfunction Require a Longer Duration Until Blood Pressure Dips During the Night. Hypertension
52: 1155-1160
[Abstract][Full Text]
James, M. T., Laupland, K. B., Tonelli, M., Manns, B. J., Culleton, B. F., Hemmelgarn, B. R., for the Alberta Kidney Disease Network,
(2008). Risk of Bloodstream Infection in Patients With Chronic Kidney Disease Not Treated With Dialysis. Arch Intern Med
168: 2333-2339
[Abstract][Full Text]
Levin, A. MD, Hemmelgarn, B. MD PhD, Culleton, B. MD MSc, Tobe, S. MD, McFarlane, P. MD PhD, Ruzicka, M. MD PhD, Burns, K. MD, Manns, B. MD MSc, White, C. MD, Madore, F. MD MSc, Moist, L. MD MSc, Klarenbach, S. MD MSc, Barrett, B. MD MSc, Foley, R. MD MSc, Jindal, K. MD, Senior, P. MBBS PhD, Pannu, N. MD MSc, Shurraw, S. MD, Akbari, A. MD, Cohn, A. MD, Reslerova, M. MD PhD, Deved, V. MD, Mendelssohn, D. MD, Nesrallah, G. MD, Kappel, J. MD, Tonelli, M. MD SM, for the Canadian Society of Nephrology,
(2008). Guidelines for the management of chronic kidney disease. CMAJ
179: 1154-1162
[Full Text]
Ronco, C., Haapio, M., House, A. A., Anavekar, N., Bellomo, R.
(2008). Cardiorenal Syndrome. J Am Coll Cardiol
52: 1527-1539
[Abstract][Full Text]
Fox, C. H., Swanson, A., Kahn, L. S., Glaser, K., Murray, B. M.
(2008). Improving Chronic Kidney Disease Care in Primary Care Practices: An Upstate New York Practice-based Research Network (UNYNET) Study. J Am Board Fam Med
21: 522-530
[Abstract][Full Text]