(from the Chronic Renal Insufficiency Cohort Study)

disease (CKD) are at markedly increased risk for cardiovascular mortality, the relation between CKD and aortic valve calcification not been elucidated. Also, few data are available on the relation of aortic valve calcification and earlier stages of CKD. We sought to assess the relation of aortic valve calcium (AVC) with estimated glomerular filtration rate (eGFR), traditional and novel cardiovascular risk factors, and markers of bone metabolism in the Chronic Renal Insufficiency Cohort (CRIC) Study. All patients who underwent aortic valve scanning in the CRIC study were included. The relation between AVC and eGFR, traditional and novel cardiovascular risk factors, and markers of calcium metabolism were analyzed using both unadjusted and adjusted regression models. A total of 1,964 CRIC participants underwent computed tomography for AVC quantification. Decreased renal function was independently associated with increased levels of AVC (eGFR 47.11, 44.17, and 39ml/ min/1.73 m2, respectively, p <0.001). This association persisted after adjusting for traditional, but not novel, AVC risk factors. Adjusted regression models identified several traditional and novel risk factors for AVC in patients with CKD. There was a difference in AVC risk factors between black and nonblack patients. In conclusion, our study shows that eGFR is associated in a dose-dependent manner with AVC in patients with CKD, and this association is independent of traditional cardiovascular risk factors. Abstract Background: Although subjects with chronic kidney disease (CKD) are at markedly increased risk for cardiovascular mortality, the impact of CKD on aortic valve calcification (AVC) has not been fully elucidated. Also, few data are available on the relationship of AVC and earlier stages of CKD. We sought to assess the relationship of AVC with eGFR, traditional and novel cardiovascular risk factors, and markers of bone metabolism in the Chronic Renal Insufficiency Cohort (CRIC) Study. Methods: All patients who underwent aortic valve scanning in the CRIC study were included. The relationship between AVC and eGFR, traditional and non-traditional cardiovascular risk factors, and markers of calcium metabolism were analyzed using both adjusted and unadjusted regression models. Results: A total of 1964 CRIC baseline participants underwent CT for AVC quantification. AVC was inversely associated with eGFR (P<0.001), and there was a graded relationship between decreased renal function and increased levels of AVC. Adjusted regression models identified several traditional and novel risk factors for AVC in patients with CKD. There was a difference in AVC risk factors between black and non-black patients. Conclusions: Our study shows that eGFR is a risk factor for AVC in patients with CKD, which is independent of traditional cardiovascular risk factors.

[1]  A. Kind,et al.  Area Deprivation Index Predicts Readmission Risk at an Urban Teaching Hospital , 2018, American journal of medical quality : the official journal of the American College of Medical Quality.

[2]  W. Thompson,et al.  Resident characteristics and neighborhood environments on health‐related quality of life and stress , 2017 .

[3]  S. Broyles,et al.  The context of context: Examining the associations between healthy and unhealthy measures of neighborhood food, physical activity, and social environments. , 2016, Preventive medicine.

[4]  A. Bocour,et al.  Preventable Hospitalization Rates and Neighborhood Poverty among New York City Residents, 2008–2013 , 2016, Journal of Urban Health.

[5]  A. Go,et al.  Race/Ethnicity and Cardiovascular Outcomes in Adults With CKD: Findings From the CRIC (Chronic Renal Insufficiency Cohort) and Hispanic CRIC Studies. , 2016, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[6]  S. Charles,et al.  Neighborhood features and physiological risk: An examination of allostatic load. , 2016, Health & place.

[7]  S. Adar,et al.  Neighborhood Environments and Incident Hypertension in the Multi-Ethnic Study of Atherosclerosis. , 2016, American journal of epidemiology.

[8]  Benjamin Bowe,et al.  Rate of Kidney Function Decline and Risk of Hospitalizations in Stage 3A CKD. , 2015, Clinical journal of the American Society of Nephrology : CJASN.

[9]  F. Davis,et al.  The influence of neighborhood socioeconomic status and race on survival from ovarian cancer: a population-based analysis of Cook County, Illinois. , 2015, Annals of epidemiology.

[10]  Amy H Auchincloss,et al.  Longitudinal Associations Between Neighborhood Physical and Social Environments and Incident Type 2 Diabetes Mellitus: The Multi-Ethnic Study of Atherosclerosis (MESA). , 2015, JAMA internal medicine.

[11]  Graham Ingalsbe,et al.  Neighborhood Socioeconomic Disadvantage and 30-Day Rehospitalization , 2015 .

[12]  G. Strippoli,et al.  Pre-dialysis hospital use and late referrals in incident dialysis patients in England: a retrospective cohort study. , 2015, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[13]  Adam Drewnowski,et al.  Environments perceived as obesogenic have lower residential property values. , 2014, American journal of preventive medicine.

[14]  H. Krumholz,et al.  Place of Residence and Outcomes of Patients With Heart Failure: Analysis From the Telemonitoring to Improve Heart Failure Outcomes Trial , 2014, Circulation. Cardiovascular quality and outcomes.

[15]  D. Nerenz,et al.  Socioeconomic status and readmissions: evidence from an urban teaching hospital. , 2014, Health affairs.

[16]  Jacques Donzé,et al.  Causes and patterns of readmissions in patients with common comorbidities: retrospective cohort study , 2013, BMJ.

[17]  Judith A. Long,et al.  Understanding why patients of low socioeconomic status prefer hospitals over ambulatory care. , 2013, Health affairs.

[18]  A. Forster,et al.  Influence of neighborhood household income on early death or urgent hospital readmission. , 2013, Journal of hospital medicine.

[19]  P. Kimmel,et al.  Segregation, income disparities, and survival in hemodialysis patients. , 2013, Journal of the American Society of Nephrology : JASN.

[20]  M. Joffe,et al.  Estimating GFR among participants in the Chronic Renal Insufficiency Cohort (CRIC) Study. , 2012, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[21]  Harold I Feldman,et al.  Estimating glomerular filtration rate from serum creatinine and cystatin C. , 2012, The New England journal of medicine.

[22]  Cynthia F Corbett,et al.  Risks of subsequent hospitalization and death in patients with kidney disease. , 2012, Clinical journal of the American Society of Nephrology : CJASN.

[23]  Harold I Feldman,et al.  CKD in Hispanics: Baseline characteristics from the CRIC (Chronic Renal Insufficiency Cohort) and Hispanic-CRIC Studies. , 2011, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[24]  N. Tangri,et al.  A predictive model for progression of chronic kidney disease to kidney failure. , 2011, JAMA.

[25]  M. Wolf,et al.  Low socioeconomic status associates with higher serum phosphate irrespective of race. , 2010, Journal of the American Society of Nephrology : JASN.

[26]  J. Carrero,et al.  Gender Differences in Chronic Kidney Disease: Underpinnings and Therapeutic Implications , 2010, Kidney and Blood Pressure Research.

[27]  K. Cagney,et al.  Neighborhood Poverty, Racial Composition and Renal Transplant Waitlist , 2010, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[28]  P. Austin,et al.  Racial composition of residential areas associates with access to pre-ESRD nephrology care. , 2010, Journal of the American Society of Nephrology : JASN.

[29]  A. D. Diez Roux,et al.  Neighborhoods and health , 2010, Annals of the New York Academy of Sciences.

[30]  Eric A Whitsel,et al.  Neighborhood disparities in incident hospitalized myocardial infarction in four U.S. communities: the ARIC surveillance study. , 2009, Annals of epidemiology.

[31]  Leslie A Perdue,et al.  Neighborhood environment in studies of health of older adults: a systematic review. , 2009, American journal of preventive medicine.

[32]  A. Go,et al.  Chronic Renal Insufficiency Cohort (CRIC) Study: baseline characteristics and associations with kidney function. , 2009, Clinical journal of the American Society of Nephrology : CJASN.

[33]  Scott Bell,et al.  Access to Primary Health Care: Does Neighborhood of Residence Matter? , 2009 .

[34]  J. Kirby Poor People, Poor Places and Access to Health Care in the United States , 2008 .

[35]  Catherine E. Ross,et al.  Neighborhood Socioeconomic Status and Health: Context or Composition? , 2008 .

[36]  J. Kaufman,et al.  Age affects outcomes in chronic kidney disease. , 2007, Journal of the American Society of Nephrology.

[37]  N. Powe,et al.  Individual and neighborhood socioeconomic status and progressive chronic kidney disease in an elderly population: The Cardiovascular Health Study. , 2007, Social science & medicine.

[38]  C. Taylor,et al.  Neighborhood and individual socioeconomic determinants of hospitalization. , 2006, American journal of preventive medicine.

[39]  J. Kaufman,et al.  Using Census Data to Approximate Neighborhood Effects , 2006 .

[40]  Ana V Diez Roux,et al.  Area socioeconomic status and progressive CKD: the Atherosclerosis Risk in Communities (ARIC) Study. , 2005, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[41]  Toshiko Kaneda,et al.  Neighborhood Socioeconomic Disadvantage and Access to Health Care∗ , 2005, Journal of health and social behavior.

[42]  A. Collins,et al.  Hospitalization during advancing chronic kidney disease. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[43]  M. Wen,et al.  Poverty, affluence, and income inequality: neighborhood economic structure and its implications for health. , 2003, Social science & medicine.

[44]  A. Go,et al.  The Chronic Renal Insufficiency Cohort (CRIC) Study: Design and Methods. , 2003, Journal of the American Society of Nephrology : JASN.

[45]  Janet E Hux,et al.  Relationship between avoidable hospitalizations for diabetes mellitus and income level. , 2003, Archives of internal medicine.

[46]  L. Chambless,et al.  Neighborhood of residence and incidence of coronary heart disease. , 2001, The New England journal of medicine.

[47]  D. Holland,et al.  Predictors of hospitalization and death among pre-dialysis patients: a retrospective cohort study. , 2000, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[48]  L. McMahon,et al.  Use of community versus individual socioeconomic data in predicting variation in hospital use. , 1998, Health services research.