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Background: Plasma proenkephalin A (PENK-A) is a precursor of active enkephalins. Higher blood concentrations have been associated with estimated glomerular filtration rate (eGFR) decline in European populations. Due to the significant disparity in incident chronic kidney disease (CKD) between White and Black people, we evaluated the association of PENK-A with incident CKD and other kidney outcomes among a biracial cohort in the U.S., Methods: In a nested cohort of 4,400 participants among the REasons for Geographic And Racial Differences in Stroke, we determined the association between baseline PENK-A concentration and incident CKD using the creatinine-cystatin C CKD-EPI 2021 equation without race coefficient, significant eGFR decline, and incident albuminuria between baseline and a follow-up visit 9.4 years later. We tested for race and sex interactions. We used inverse probability sampling weights to account for the sampling design., Results: At baseline, mean (SD) age was 64 (8) years, 49% were women, and 52% were Black participants. 8.5% developed CKD, 21% experienced ≥ 30% decline in eGFR and 18% developed albuminuria. There was no association between PENK-A and incident CKD and no difference by race or sex. However, higher PENK-A was associated with increased odds of progressive eGFR decline (OR: 1.12; 95% CI 1.00, 1.25). Higher PENK-A concentration was strongly associated with incident albuminuria among patients without diabetes mellitus (OR: 1.29; 95% CI 1.09, 1.53)., Conclusion: While PENK-A was not associated with incident CKD, its associations with progression of CKD and incident albuminuria, among patients without diabetes, suggest that it might be a useful tool in the evaluation of kidney disease among White and Black patients., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Importance: Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US., Objective: To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes., Design, Setting, and Participants: Individual-participant data meta-analysis of 27 503 140 individuals from 114 global cohorts (eGFR based on creatinine alone) and 720 736 individuals from 20 cohorts (eGFR based on creatinine and cystatin C) and 9 067 753 individuals from 114 cohorts (albuminuria) from 1980 to 2021., Exposures: The Chronic Kidney Disease Epidemiology Collaboration 2021 equations for eGFR based on creatinine alone and eGFR based on creatinine and cystatin C; and albuminuria estimated as urine albumin to creatinine ratio (UACR)., Main Outcomes and Measures: The risk of kidney failure requiring replacement therapy, all-cause mortality, cardiovascular mortality, acute kidney injury, any hospitalization, coronary heart disease, stroke, heart failure, atrial fibrillation, and peripheral artery disease. The analyses were performed within each cohort and summarized with random-effects meta-analyses., Results: Within the population using eGFR based on creatinine alone (mean age, 54 years [SD, 17 years]; 51% were women; mean follow-up time, 4.8 years [SD, 3.3 years]), the mean eGFR was 90 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 11 mg/g (IQR, 8-16 mg/g). Within the population using eGFR based on creatinine and cystatin C (mean age, 59 years [SD, 12 years]; 53% were women; mean follow-up time, 10.8 years [SD, 4.1 years]), the mean eGFR was 88 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 9 mg/g (IQR, 6-18 mg/g). Lower eGFR (whether based on creatinine alone or based on creatinine and cystatin C) and higher UACR were each significantly associated with higher risk for each of the 10 adverse outcomes, including those in the mildest categories of chronic kidney disease. For example, among people with a UACR less than 10 mg/g, an eGFR of 45 to 59 mL/min/1.73 m2 based on creatinine alone was associated with significantly higher hospitalization rates compared with an eGFR of 90 to 104 mL/min/1.73 m2 (adjusted hazard ratio, 1.3 [95% CI, 1.2-1.3]; 161 vs 79 events per 1000 person-years; excess absolute risk, 22 events per 1000 person-years [95% CI, 19-25 events per 1000 person-years])., Conclusions and Relevance: In this retrospective analysis of 114 cohorts, lower eGFR based on creatinine alone, lower eGFR based on creatinine and cystatin C, and more severe UACR were each associated with increased rates of 10 adverse outcomes, including adverse kidney outcomes, cardiovascular diseases, and hospitalizations.

Markers of glomerular disease, estimated glomerular filtration rate (eGFR) and albuminuria, are associated with cardiac structural abnormalities and incident cardiovascular disease (CVD). We aimed to determine whether biomarkers of kidney tubule injury, function, and systemic inflammation are associated with cardiac structural abnormalities. Among 393 Multi-Ethnic Study of Atherosclerosis participants without diabetes, CVD, or chronic kidney disease, we assessed the association of 12 biomarkers of kidney tubule injury, function, and systemic inflammation with the left ventricular mass/volume ratio (LVmvr) and left ventricular ejection fraction (LVEF) on cardiac magnetic resonance imaging using linear regression. The average age was 60 ± 10 years; 48% were men; mean eGFR was 96±16 ml/min/1.73 m 2 ; mean LVmvr was 0.93±0.18 g/ml, and mean LVEF was 62±6%. Each twofold greater concentration of plasma soluble urokinase plasminogen activator receptor was associated with a 0.04 g/ml (95% confidence interval [CI] 0.01 to 0.08 g/ml) higher LVmvr and 2.1% (95% CI 0.6 to 3.5%) lower LVEF, independent of risk factors for CVD, eGFR, and albuminuria. Each twofold greater plasma monocyte chemoattractant protein 1 was associated with higher LVmvr with a similar coefficient to that of plasma soluble urokinase plasminogen activator receptor. Each twofold greater concentration of plasma chitinase-3-like protein 1 and urine alpha-1-microglobulin was associated with a 1.1% (95% CI 0.4 to 1.7%) and 1.2% (95% CI 0.2 to 2.2%) lower LVEF, respectively. In conclusion, abnormal kidney tubule health may lead to cardiac dysfunction above and beyond eGFR and albuminuria., Competing Interests: Disclosures Dr. Gutierrez receives grant funding and honoraria from Amgen and Akebia. He receives honoraria from AstraZeneca, Reata, and Ardelyx and serves on a Data Monitoring Committee for QED Therapeutics. Dr. Bonventre is cofounder and holds equity in Goldfinch Bio and Autonomous Medical Devices, is coinventor on KIM-1 patents assigned to Mass General Brigham, and has received consulting income and/or equity from Cadent, Renalytix, Sarepta, and Seagen and laboratory support from Kantum Pharma. He has equity in Pacific Biosciences, DxNow, and MediBeacon. Dr. Bonventre's interests were reviewed and are managed by BWH and MGB in accordance with their conflict-of-interest policies. Dr. Kimmel is a coeditor with Mark Rosenberg of Chronic Renal Disease Academic Press and a coeditor with Daniel Cukor and Scott D. Cohen of Psychosocial Aspects of Chronic Kidney Disease Academic Press. Dr. Shlipak is on advisory boards and receives honoraria from Bayer, Boehringer-Ingelheim, Astra-Zeneca. He receives grant support from Bayer. Dr. Ix has grant support from Baxter International. He is on advisory boards for Akebia, AstraZeneka, Ardelyx, Alpha Young, and Bayer. He serves on a Data and Safety Monitoring Board from Sanifit International. The remaining authors have no conflicts of interest to declare., (Published by Elsevier Inc.)

Aims: Chronic kidney disease (CKD) increases risk of cardiovascular disease (CVD). Less is known about how CVD associates with future risk of kidney failure with replacement therapy (KFRT)., Methods and Results: The study included 25 903 761 individuals from the CKD Prognosis Consortium with known baseline estimated glomerular filtration rate (eGFR) and evaluated the impact of prevalent and incident coronary heart disease (CHD), stroke, heart failure (HF), and atrial fibrillation (AF) events as time-varying exposures on KFRT outcomes. Mean age was 53 (standard deviation 17) years and mean eGFR was 89 mL/min/1.73 m2, 15% had diabetes and 8.4% had urinary albumin-to-creatinine ratio (ACR) available (median 13 mg/g); 9.5% had prevalent CHD, 3.2% prior stroke, 3.3% HF, and 4.4% prior AF. During follow-up, there were 269 142 CHD, 311 021 stroke, 712 556 HF, and 605 596 AF incident events and 101 044 (0.4%) patients experienced KFRT. Both prevalent and incident CVD were associated with subsequent KFRT with adjusted hazard ratios (HRs) of 3.1 [95% confidence interval (CI): 2.9-3.3], 2.0 (1.9-2.1), 4.5 (4.2-4.9), 2.8 (2.7-3.1) after incident CHD, stroke, HF and AF, respectively. HRs were highest in first 3 months post-CVD incidence declining to baseline after 3 years. Incident HF hospitalizations showed the strongest association with KFRT [HR 46 (95% CI: 43-50) within 3 months] after adjustment for other CVD subtype incidence., Conclusion: Incident CVD events strongly and independently associate with future KFRT risk, most notably after HF, then CHD, stroke, and AF. Optimal strategies for addressing the dramatic risk of KFRT following CVD events are needed., Competing Interests: Conflict of interest: P.B.M. reports grants and personal fees from Boehringer Ingelheim; personal fees and non-financial support from Napp, Astrazeneca; personal fees from GSK, Pharmacosmos, and Astellas, outside the submitted work. J.J.C. is a Statistical Editor for the European Heart Journal. K.M. reports grants from NIDDK, during the conduct of the study; grants and personal fees from Kyowa Kirin, personal fees from Akebia, Kowa, and Fukuda Denshi, outside the submitted work. M.E.G. reports grants from National Kidney Foundation and from Kidney Disease Improving Global Outcomes outside the submitted work. J.C. reports grants from National Institute of Health and National Kidney Foundation during the conduct of the study; consulting at Healthy.io and scientific advisor to SomaLogic outside the submitted work. J.Ch. reports grants from National Health and Medical Research Council of Australia and grants and personal fees from Servier International outside the submitted work. L.C. reports consulting from CSL Vifor, honorarium for giving a talk from Fresenius Medical Care, and grants from NIH-NIDDK outside the submitted work. A.R.C. reports personal fees from Novartis, Amgen, Reata; grants from Novo Nordisk, Bayer, outside the submitted work. D.d.Z. reports personal fees from Merck during the conduct of the study, Bayer, Boehringer Ingelheim, and Travere outside the submitted work. M.E. reports institutional grants from Astellas pharma, AstraZeneca, and Vifor Pharma; honoraria form Astellas pharma, AstraZeneca, Baxter healthcare, and Fresenius Medical Care; support for attending meetings from Baxter healthcare, participation on a DSMB or Advisory Board for Astellas pharma, AstraZeneca, and Vifor pharma, and a leadership or fiduciary role on the Steering Committee of the Swedish Renal Registry, outside the submitted work. O.M.G. reports personal fees from Akebia, Amgen, AstraZeneca, Reata, Ardelyx, and QED, outside the submitted work. H.J.L.H. reports grants and honoraria for steering committee to his institution from Abbvie; grants and honoraria for steering committee and payments for advisory boards to his institution from AstraZeneca; honoraria for steering committee and payments for advisory boards from Bayer; grants and honoraria for steering committee and payments for advisory boards to his institution from Boehringer Ingelheim; honoraria for steering committee to his institution from CSL Behring, Chinook, Dimerix, Gilead; grants and honoraria for steering committee to his institution from Janssen, honoraria for steering committee to his institution from Eli Lilly, Merck, Mitsubishi Tanabe; grants and honoraria for steering committee to his institution from Novo Nordisk; and honoraria for steering committee to his institution from Travere Pharmaceuticals outside the submitted work. W.G.H. reports SHARP was funded by Merck & Co., Inc., Whitehouse Station, NJ USA, during the conduct of the study; he received grants from Boehringer Ingelheim and Eli Lilly; grants and fellowship from MRC UK, and fellowship from Kidney Research UK outside the submitted work. R.W.M. reports grants from NIHR and Kidney Research UK during the conduct of the study. G.N.N. reports personal fees, non-financial support, and other support (Scientific Cofounder, have equity/stock options, royalties and consulting) from Renalytix; personal fees and non-financial support from Pensieve Health; non-financial support and other support (Scientific Cofounder, have equity/stock options) from Nexus I Connect, Sole proprietor of Data2Wisdom LLC; personal fees from Variant Bio, Qiming Capital, Cambridge Consulting, Daiichi Sankyo, and Menarini Health, outside the submitted work. M.R. reports grants from NIH during the conduct of the study. N.S. reports being a current employee of GSK and employed at AMGA at the time of this study. B.S. reports grants from AstraZeneca, GlaxoSmithKline, and Fresenius Medical Care outside the submitted work. D.C.W. reports personal fees from AstraZeneca during the conduct of the study; personal fees from Amgen, Astellas, Bayer, Boehringer Ingelheim, Gilead, GlaxoSmithKline, Janssen, Mundipharma, Merck Sharp and Dohme, Tricida, Vifor and Zydus; and personal fees from AstraZeneca outside the submitted work. J.v.d.B. reports being an employee and stakeholder of Binnovate Digital Health BV outside the submitted work. All other co-authors have nothing to disclose. Some of the data reported here have been supplied by the United States Renal Data System. The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy or interpretation of the US Government., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Lipid accumulation product (LAP) and visceral adiposity index (VAI) are novel, non-imaging markers of visceral adiposity that are calculated by using body mass index (BMI), waist circumference (WC) and serum lipid concentrations. We hypothesized that LAP and VAI are more strongly associated with adverse kidney outcomes than BMI and WC., Methods: Using data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, we used multivariable logistic regression to evaluate associations of LAP, VAI, BMI and WC with incident chronic kidney disease (CKD), (incident eGFR < 60 ml/min/1.73m 2 and > 25% decline)., Results: Among the overall cohort of 27,550 participants, the mean baseline age was 65 years; 54% were women; and 41% were African American. After a median of 9.4 years (IQR 8.6, 9.9) of follow-up, a total of 1127 cases of incident CKD were observed. Each two-fold higher value of VAI (OR 1.12, 95% CI 1.04, 1.20), LAP (OR 1.21, 95% CI 1.13, 1.29), WC (OR 2.10, 95% CI 1.60, 2.76) and BMI (OR: 2.66, 95% CI 1.88, 3.77), was associated with greater odds of incident CKD., Conclusions: LAP and VAI as measures of visceral adiposity are associated with higher odds of incident CKD but may not provide information beyond WC and BMI., (© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: Adults who have experienced multiple cardiovascular disease (CVD) events have a very high risk for additional events. Diabetes and chronic kidney disease (CKD) are each associated with an increased risk for recurrent CVD events following a myocardial infarction (MI)., Methods: We compared the risk for recurrent CVD events among US adults with health insurance who were hospitalized for an MI between 2014 and 2017 and had (1) CVD prior to their MI but were free from diabetes or CKD (prior CVD), and those without CVD prior to their MI who had (2) diabetes only, (3) CKD only and (4) both diabetes and CKD. We followed patients from hospital discharge through December 31, 2018 for recurrent CVD events including coronary, stroke, and peripheral artery events., Results: Among 162,730 patients, 55.2% had prior CVD, and 28.3%, 8.3%, and 8.2% had diabetes only, CKD only, and both diabetes and CKD, respectively. The rate for recurrent CVD events per 1000 person-years was 135 among patients with prior CVD and 110, 124 and 171 among those with diabetes only, CKD only and both diabetes and CKD, respectively. Compared to patients with prior CVD, the multivariable-adjusted hazard ratio for recurrent CVD events was 0.92 (95%CI 0.90-0.95), 0.89 (95%CI: 0.85-0.93), and 1.18 (95%CI: 1.14-1.22) among those with diabetes only, CKD only, and both diabetes and CKD, respectively., Conclusion: Following MI, adults with both diabetes and CKD had a higher risk for recurrent CVD events compared to those with prior CVD without diabetes or CKD.

Background: Although diabetic kidney disease is the leading cause of ESKD in the United States, identifying those patients who progress to ESKD is difficult. Efforts are under way to determine if plasma biomarkers can help identify these high-risk individuals., Methods: In our case-cohort study of 894 Chronic Renal Insufficiency Cohort Study participants with diabetes and an eGFR of <60 ml/min per 1.73 m 2 at baseline, participants were randomly selected for the subcohort; cases were those patients who developed progressive diabetic kidney disease (ESKD or 40% eGFR decline). Using a multiplex system, we assayed plasma biomarkers related to tubular injury, inflammation, and fibrosis (KIM-1, TNFR-1, TNFR-2, MCP-1, suPAR, and YKL-40). Weighted Cox regression models related biomarkers to progression of diabetic kidney disease, and mixed-effects models estimated biomarker relationships with rate of eGFR change., Results: Median follow-up was 8.7 years. Higher concentrations of KIM-1, TNFR-1, TNFR-2, MCP-1, suPAR, and YKL-40 were each associated with a greater risk of progression of diabetic kidney disease, even after adjustment for established clinical risk factors. After accounting for competing biomarkers, KIM-1, TNFR-2, and YKL-40 remained associated with progression of diabetic kidney disease; TNFR-2 had the highest risk (adjusted hazard ratio, 1.61; 95% CI, 1.15 to 2.26). KIM-1, TNFR-1, TNFR-2, and YKL-40 were associated with rate of eGFR decline., Conclusions: Higher plasma levels of KIM-1, TNFR-1, TNFR-2, MCP-1, suPAR, and YKL-40 were associated with increased risk of progression of diabetic kidney disease; TNFR-2 had the highest risk after accounting for the other biomarkers. These findings validate previous literature on TNFR-1, TNFR-2, and KIM-1 in patients with prevalent CKD and provide new insights into the influence of suPAR and YKL-40 as plasma biomarkers that require validation., (Copyright © 2021 by the American Society of Nephrology.)

Rationale & Objective: Chronic kidney disease (CKD) is complicated by abnormalities that reflect disruption in filtration, tubular, and endocrine functions of the kidney. Our aim was to explore the relationship of specific laboratory result abnormalities and hypertension with the estimated glomerular filtration rate (eGFR) and albuminuria CKD staging framework., Study Design: Cross-sectional individual participant-level analyses in a global consortium., Setting & Study Populations: 17 CKD and 38 general population and high-risk cohorts., Selection Criteria for Studies: Cohorts in the CKD Prognosis Consortium with data for eGFR and albuminuria, as well as a measurement of hemoglobin, bicarbonate, phosphorus, parathyroid hormone, potassium, or calcium, or hypertension., Data Extraction: Data were obtained and analyzed between July 2015 and January 2018., Analytical Approach: We modeled the association of eGFR and albuminuria with hemoglobin, bicarbonate, phosphorus, parathyroid hormone, potassium, and calcium values using linear regression and with hypertension and categorical definitions of each abnormality using logistic regression. Results were pooled using random-effects meta-analyses., Results: The CKD cohorts (n=254,666 participants) were 27% women and 10% black, with a mean age of 69 (SD, 12) years. The general population/high-risk cohorts (n=1,758,334) were 50% women and 2% black, with a mean age of 50 (16) years. There was a strong graded association between lower eGFR and all laboratory result abnormalities (ORs ranging from 3.27 [95% CI, 2.68-3.97] to 8.91 [95% CI, 7.22-10.99] comparing eGFRs of 15 to 29 with eGFRs of 45 to 59mL/min/1.73m 2 ), whereas albuminuria had equivocal or weak associations with abnormalities (ORs ranging from 0.77 [95% CI, 0.60-0.99] to 1.92 [95% CI, 1.65-2.24] comparing urinary albumin-creatinine ratio > 300 vs < 30mg/g)., Limitations: Variations in study era, health care delivery system, typical diet, and laboratory assays., Conclusions: Lower eGFR was strongly associated with higher odds of multiple laboratory result abnormalities. Knowledge of risk associations might help guide management in the heterogeneous group of patients with CKD., (Copyright © 2018 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.)

Background: Previous studies in HIV-infected individuals have demonstrated serum albumin to be strongly associated with kidney function decline, independent of urine albumin and inflammatory markers. Lower serum albumin concentrations may be an under-appreciated risk factor for kidney function decline in elders., Methods: We performed a cohort analysis in the Health Aging and Body Composition Study, a cohort of well-functioning, bi-racial, community-dwelling elders between the age of 70 and 79 years. We examined the associations of serum albumin concentration with longitudinal kidney function decline by estimated glomerular filtration rate (eGFR). Outcomes included linear eGFR decline, rapid kidney function decline defined as >30% decrease in eGFR, defined as a final eGFR <60 mL/min/1.73 m2 in those with an eGFR >60 mL/min/1.73 m2 at baseline. Cystatin C-based eGFR was calculated at baseline, Year 3 and Year 10., Results: Mean age was 74 years, and mean eGFR was 73 mL/min/1.73 m2 at baseline. The mean rate of eGFR change was 1.81 mL/min/1.73 m2 per year. After multivariate adjustment, lower serum albumin concentrations were strongly and independently associated with kidney function decline (-0.11 mL/min/1.73 m2 per year for each standard deviation decrease serum albumin; -0.01 to - 0.20) with no attenuation after adjustment for urine albumin and inflammatory markers (-0.12, -0.03 to - 0.22). When divided into quartiles, serum albumin levels ≤3.80 g/dL were associated with increased odds of rapid kidney function decline (odds ratio 1.59; 1.12-2.26) and increased risk of incident chronic kidney disease (incident rate ratio 1.29; 1.03-1.62) relative to levels >4.21g/dL. Urine albumin to creatinine ratio (ACR) was also significantly and independently associated with kidney function decline (-0.08 mL/min/1.73 m2 per year for urine ACR >30 mg/g; -0.82 to - 0.13)., Conclusions: Lower serum albumin levels are strongly and independently associated with kidney function decline in elders, independent of clinical risk factors, urine albumin and measured inflammatory markers.

Background: Fibroblast growth factor 23 (FGF-23) is a hormone that regulates phosphorus levels and vitamin D metabolism. Previous studies have shown FGF-23 to be a risk factor for incident end-stage renal disease; however, there are less data on the association of FGF-23 with earlier kidney-related outcomes., Methods: Serum FGF-23 was assayed using an intact ELISA assay in 2,496 participants of the Healthy Aging and Body Composition Study, a cohort of well-functioning older adults. Kidney function was estimated by assaying cystatin C at baseline and years 3 and 10. The associations between FGF-23 and decline in kidney function (defined by estimated glomerular filtration rate (eGFR) decline ≥30% or ≥3 mL/min/year) and incident chronic kidney disease (CKD; incident eGFR <60 mL/min/1.73 m2 and ≥1 mL/min/year decline) were evaluated. Models were adjusted for demographics, baseline eGFR, urine albumin/creatinine ratio, comorbidity, and serum calcium, phosphorus, 25(OH) vitamin D and parathyroid hormone., Results: The mean (SD) age was 75 (3) years, with 52% female and 38% black. There were 405 persons with 30% decline, 702 with >3 mL/min/year decline, and 536 with incident CKD. In fully adjusted continuous models, doubling of FGF-23 concentrations was not associated with kidney function decline (OR [95% CI] = 0.98 [0.82-1.19] for ≥30% decline and OR 1.17 [95% CI 1.00-1.37] for ≥3 mL/min/year decline), or incident CKD (incident rate ratio [IRR] 1.05 [95% CI 0.91-1.22]). In adjusted quartile analysis, the highest quartile of FGF-23 was significantly associated with incident CKD (IRR 1.27 [95% CI 1.02-1.58] for highest vs. lowest quartile)., Conclusion: Higher FGF-23 concentrations were not consistently associated with decline in kidney function or incident CKD in community-dwelling older adults., (© 2018 S. Karger AG, Basel.)

Background: The oxidative balance score (OBS) is a composite estimate of the overall pro- and antioxidant exposure status in an individual. The aim of this study was to determine the association between OBS and renal disease., Methods: Using the Reasons for Geographic and Racial Differences in Stroke cohort study, OBS was calculated by combining 13 a priori-defined pro- and antioxidant factors by using baseline dietary and lifestyle assessment. OBS was divided into quartiles (Q1-Q4) with the lowest quartile, Q1 (predominance of pro-oxidants), as the reference. Multivariable logistic regression and Cox proportional hazards models were used to estimate adjusted ORs for albuminuria defined as urine albumin/creatinine ratio (ACR)>30 mg/g, macroalbuminuria defined as ACR>300 mg/g and chronic kidney disease (CKD) defined as estimated glomerular filtration rate<60 ml/min/1.73 m2 according to the Chronic Kidney Disease Epidemiology Collaboration and hazards ratios for end-stage renal disease (ESRD), respectively., Results: Of the 19,461 participants analyzed, 12.9% had albuminuria and 10.1% had CKD at baseline; over a median follow-up of 3.5 years (range 2.14-4.32 years), 0.46% developed ESRD. Higher OBS quartiles were associated with lower prevalence of CKD (OR vs. Q1: Q2=0.93 [95% CI 0.80-1.08]; Q3=0.90 [95% CI 0.77-1.04] and Q4=0.79 [95% CI 0.67-0.92], p for trend<.01). The associations between OBS and albuminuria (p for trend 0.31) and incident ESRD (p for trend 0.56) were not significant in the fully adjusted models., Conclusions: These findings suggest that higher OBS is associated with lower prevalence of CKD. Lack of association with ESRD incidence in the multivariable analyses indicates that temporal relation between OBS and renal damage remains unclear., (© 2015 S. Karger AG, Basel.)

Background: Lipid-lowering guidelines endorse a low-density lipoprotein cholesterol goal of <100 mg/dL for people with coronary heart disease (CHD). A more stringent threshold of <70 mg/dL is recommended for those with CHD and "very high-risk" conditions such as diabetes mellitus, metabolic syndrome, or cigarette smoking. Whether chronic kidney disease (CKD) confers a similar risk for recurrent CHD events is unknown., Methods and Results: We evaluated the risk for recurrent CHD events and all-cause mortality among 3,938 participants ≥45 years with CHD in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. Chronic kidney disease was defined by estimated glomerular filtration rate <60 mL/min per 1.73 m(2) or urinary albumin to creatinine ratio ≥30 mg/g. Participants were categorized by the presence or absence of CKD and any very high-risk condition. Over a median of 4.1 years, the crude incidence (95% CI) of recurrent CHD events were 12.1 (9.0-15.2), 18.9 (15.5-22.3), 35.0 (25.4-44.6), and 34.2 (28.2-40.3) among those without CKD or high-risk conditions; very high-risk conditions alone; and CKD alone and both CKD and very high-risk conditions. After multivariable adjustment, compared with those without CKD or very high-risk conditions, the hazard ratio (95% CI) for recurrent CHD events was 1.45 (1.02-2.05), 2.24 (1.50-3.34), and 2.10 (1.47-2.98) among those with very high-risk conditions alone, CKD alone, and both CKD and very high-risk conditions, respectively. Results were consistent for all-cause mortality., Conclusions: Chronic kidney disease is associated with risk for recurrent CHD events that approximates or is larger than other established very high-risk conditions., (Copyright © 2013 Mosby, Inc. All rights reserved.)