Chronic Renal Insufficiency Cohort Research Articles

A Thorough Literature Review of the Potential Benefits and Drawbacks of Long-Term Aspirin Use for the Primary Prevention of Cardiovascular Disease.

This article examines the role of aspirin in the primary prevention of cardiovascular disease. It highlights findings from major studies such as ASPREE (ASPirin in Reducing Events in the Elderly), ARRIVE (Aspirin to Reduce Risk of Initial Vascular Events), and ASPREE-XT (ASPirin in Reducing Events in the Elderly - eXTension) , among others. The review focuses on aspirin's role in primary prevention for specific populations including older adults, diabetics, hypertension patients, rheumatoid arthritis patients, kidney transplant recipients, and those with specific lipoprotein(a) genotypes, among other groups. We review these studies, noting aspirin's role in reducing events such as myocardial infarctions and its potential for increasing bleeding risks. The review also considers the implications for patients with kidney disease, referencing the Chronic Renal Insufficiency Cohort (CRIC) study and the International Polycap Study-3 (TIPS-3) trial. Additionally, it addresses the shifting paradigms in guidelines from the US Preventive Services Task Force and other entities, underscoring the importance of individualized aspirin use by balancing benefits against bleeding risks. The article further explores the concept of platelet reactivity, discusses strategies for improving adherence to aspirin therapy, and identifies existing research gaps, such as the phenomenon of aspirin resistance. It concludes by suggesting potential areas for future investigation to enhance understanding and application of aspirin in cardiovascular disease prevention.

#1559 Using nephrology clinic data to emulate cohorts: a comparison between an electronic health records service and Chronic Renal Insufficiency Cohort

Abstract Background and Aims The amount of data contributed to evidence-synthesis is inequitably distributed among various countries in a way that most of the data is emerged from developed and/or upper middle and high income countries. One efficient and low-cost solution can be the implementation of scattered electronic health records (EHR) sources in those countries into emulated cohort studies. We aim to compare the characteristics of a custom-built nephrology clinic electronic health records (CBNC-EHR) service that is in practice for more than 13 years with Chronic Renal Insufficiency Cohort (CRIC) study which has approximately the same span and enrollment to find out about the feasibility, strengths, and challenges of the proposition. Method We compared measured variables of baseline characteristics and follow-up strategy of CRIC study with the data provided by CBNC-EHR to estimate if the care-centered database is capable of emulating a cohort study. Results Among variables of socioeconomic information at CRIC study, CBNC-EHR provides 33% at full, 33% are “partially available or easily accessible” (PAEA), and 33% are not available. 71% of variables of medical history are fully available for all patients, while only 14% are PAEA, and 14% are not available. For kidney function measures, CBNC-EHR provides 55% of variables completely, while the remaining 45% are PAEA. Obviously, no blood or urine sample were collected during ambulatory care, and no questionnaire on different aspects of health were used to gather supplementary data, contrary to CRIC study. Compared to follow-up strategy of CRIC study, which indicated Annual visits and laboratory tests and 6-month telephone follow-ups, CBNC-EHR yields data only upon personally-decided attention of patients for follow-up care, which varies widely from one patient to another. Nevertheless, the majority of patients have at least one office visit in a year, accompanied by relevant laboratory tests. CBNC-EHR provides a complete list of risk factors and comorbidities of each patient, which makes it suitable for subgrouping, as was designed in CRIC study regard the diabetes status of patients. CBNC-EHR currently has data of 6481 individuals with renal failure, compared to 3000 enrollment goal of CRIC study. However, much higher rates of dropout (estimated to be approximately 20%) and utilization of inclusion and exclusion criteria will contribute to the actual available cases to emulate a cohort study. Conclusion Implementing a care-centered database into emulation of a cohort study, is challenging and complicated. Lack of consistency, high dropout rates, imperfect baseline and complementary information, and need for extensive data cleaning are all difficulties. However, contribution to equitability of data share in evidence-synthesis, extremely lower cost of conduction, and less heterogeneity are strengths of this procedure which can have a remarkable effect on transforming medical data from less-developed countries (which understandably prioritize healthcare to research due to scarcity of resources) to effective research studies. In this paper, we compared a renowned nephrology cohort with a private nephrology clinic EHR in a developing country and showed virtual availability of data to emulate a cohort study based on the care-centered database.

#2201 Assessment of long-term cardiovascular comorbidities in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis

Abstract Background and Aims ANCA associated vasculitis (AAV) is closely correlated to elevated cardiovascular disease (CVD) rates, positioning it a one of the leading causes of death among these patients. The impact of AAV on the risk of CVD has not been described in large prospective cohorts with a long-term follow up. The aim of our study was to evaluate the occurrence of cardiovascular events, encompassing major adverse cardiovascular events (MACE), to delineate associated risk factors, and to draw comparisons with other cohorts of patients diagnosed with CKD. Method We included 848 patients with a diagnosis of AAV who participated in 7 EUVAS RCTs (NORAM, CYCAZAREM, CYCLOPS, MEPEX, IMPROVE, RITUXVAS, and MYCYC), recruited from 74 centers in 17 European countries. The three-point MACE outcome was defined as acute myocardial infarction (AMI), stroke, or death from cardiovascular event. We used multivariate logistic regression analysis to assess the risk factors of MACE. Patients from our cohort were compared to the patients from the Chronic Renal Insufficiency Cohort (CRIC), which is a multicenter, prospective observational cohort study of participants with CKD. Results During the median follow up of 8 years (range 0-24.5, IQR: 2.9-13.6), 100 (11.8%) patients developed diabetes, 98 (13.4%) coronary heart disease (CHD), 90 (12.1%) hypertension, 70 (9.6%) deep vein thrombosis (DVT), 43 patients (5.9%) had a stroke and 28 (3.8%) an AMI. The number of MACE during FU was 144 (17%). MACE was more frequent among patients older than 65 years (n = 62 (43.1%); p-value: 0.013). CVD was the primary cause of death in 43 patients (14%). During the first 5 years after randomization, there was a significant increase in the number of cardiovascular events compared to the period 6 years- end of follow up (CHD: n = 55 vs n = 23, p ≤ 0.001; DVT: n = 55 vs n = 29; p < 0.001; stroke: n = 35 vs n = 24, p-value < 0.001). The prognostic factors for MACE in our cohort were hemodialysis dependency during RCT, age, male sex, previous history of CHD and stroke, and occurrence of diabetes during follow up. Within the subset of patients who underwent kidney biopsy, those in the crescentic class (n = 16) followed by the mixed class (n = 15) exhibited a significant higher incidence of MACE (p = 0.02). When compared to the cohort of patients with CKD from the CRIC study, the risk for CHD was higher (13.4% (95% CI: 11.16-16.11) vs 5.4% (95% CI 4.5-6.5); respectively; RR: 2.49 (95% CI 1.91-3.24); p-value<0.01). Additionally, there was a higher risk for stroke (5.6% (95% CI 4.2-7.4) vs 2.8% (95% CI 2.2- 3.7); RR 1.97 (95% CI: 1.33- 2.91) p-value: 0.0006). Conclusion Patients with AAV had an increased risk of stroke and CHD compared to patients with CKD from other etiologies. During the first years after diagnosis, there is an increased risk for CVD occurrence. The prognostic factors for MACE in our cohort were hemodialysis dependency, age, male sex, previous story of CHD and stroke, and diabetes during follow up. Patients with AAV should be considered at high cardiovascular risk; therefore, the therapeutic approach should include the management of traditional cardiovascular risk factors and lifestyle modification. Efforts should be made to meet strict therapeutic targets and to implement early CVD detection programs.

#373 Risk factors for progressive cardiorenal syndrome in patients with chronic kidney disease: the CRIC study

Abstract Background and Aims Cardiorenal syndrome (CRS) is associated with poor outcomes. However, risk factors for progressive CRS are not well studied in patients with chronic kidney disease (CKD). We studied the incidence and risk factors for progressive CRS in a cohort of CKD patients. Method 3 557 participants with CKD in the Chronic Renal Insufficiency Cohort (CRIC) Study were included in this analysis after excluding those with heart failure (HF) at baseline visits. The mean follow-up time was 10.5 years. Progressive CRS was defined as development of both HF and renal failure (RF) (dialysis or transplant) within 12 months of each other. Cox proportional hazards models were used to examine the association of risk factors with progressive CRS. In a sensitivity analysis, risk factors for CRS type 2 (HF preceded RF during entire follow up) and CRS type 4 (RF preceded HF) were analyzed. Results The average baseline age was 59 years for those with progressive CRS and 57 years for those without. The age-adjusted incidence of progressive CRS was 4.5/1000 person-years and was 5.0/1000 person-years in Men and 5.9 in Black. The multivariable-adjusted hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) for traditional risk factors are as follow: less than high school education (1.82, 1.2-2.73), history of cardiovascular disease (CVD) (1.48, 1.03-2.12), lower educational attainment (per 1 standard deviation [SD]) in eGFR (1.83, 1.40-2.39), and higher (per 1 SD) albumin-to-creatinine ratio (ACR) (2.26, 1.78-2.86). The multivariable-adjusted HRs with corresponding 95% CIs for a one-standard deviation increase in novel risk factors are as follows: hemoglobin (0.82, 0.68-0.99), hemoglobin A1C (1.31, 1.14-1.52), log alkaline phosphatase (1.18, 1.00-1.38), and log brain natriuretic peptide (1.32, 1.10-1.57), adjusting for age, sex, race, clinic sites, and all significant traditional risk factors (education, CVD, eGFR, and ACR). In sensitivity analysis, the risk factor associated with both CRS type 2 and 4 were kidney dysfunction, albuminuria, and mineral bone disorder (higher alkaline phosphatase and FGF23), inflammation (TNF-α), and fibrotic factor (GDF-15), while diabetes, CVD, systolic blood pressure, waist circumference, anemia, HbA1c, and volume overload were more strongly associated with CRS type 2 compared to CRS type 4. Conclusion This study indicates that education level, history of CVD, kidney dysfunction, albuminuria, mineral bone disorder, diabetes control, anemia, volume overload, inflammation, and fibrotic factors are associated with progressive CRS. Many of these risk factors are modifiable. Further studies are warranted to assess the benefits of specific interventions to improve CRS outcomes.

Incident heart failure in chronic kidney disease: proteomics informs biology and risk stratification.

Incident heart failure (HF) among individuals with chronic kidney disease (CKD) incurs hospitalizations that burden patients and health care systems. There are few preventative therapies, and the Pooled Cohort equations to Prevent Heart Failure (PCP-HF) perform poorly in the setting of CKD. New drug targets and better risk stratification are urgently needed. In this analysis of incident HF, SomaScan V4.0 (4638 proteins) was analysed in 2906 participants of the Chronic Renal Insufficiency Cohort (CRIC) with validation in the Atherosclerosis Risk in Communities (ARIC) study. The primary outcome was 14-year incident HF (390 events); secondary outcomes included 4-year HF (183 events), HF with reduced ejection fraction (137 events), and HF with preserved ejection fraction (165 events). Mendelian randomization and Gene Ontology were applied to examine causality and pathways. The performance of novel multi-protein risk models was compared to the PCP-HF risk score. Over 200 proteins were associated with incident HF after adjustment for estimated glomerular filtration rate at P < 1 × 10-5. After adjustment for covariates including N-terminal pro-B-type natriuretic peptide, 17 proteins remained associated at P < 1 × 10-5. Mendelian randomization associations were found for six proteins, of which four are druggable targets: FCG2B, IGFBP3, CAH6, and ASGR1. For the primary outcome, the C-statistic (95% confidence interval [CI]) for the 48-protein model in CRIC was 0.790 (0.735, 0.844) vs. 0.703 (0.644, 0.762) for the PCP-HF model (P = .001). C-statistic (95% CI) for the protein model in ARIC was 0.747 (0.707, 0.787). Large-scale proteomics reveal novel circulating protein biomarkers and potential mediators of HF in CKD. Proteomic risk models improve upon the PCP-HF risk score in this population.

Risk Factors and Outcomes Associated With Heart Failure With Preserved and Reduced Ejection Fraction in People With Chronic Kidney Disease.

Heart failure (HF) is associated with poor outcomes in people with chronic kidney disease, yet it is unknown whether outcomes differ by HF subtype. This study aimed to examine associations of incident HF with preserved ejection fraction (HFpEF) versus HF with reduced ejection fraction (HFrEF) with progression to end-stage kidney disease (ESKD) and mortality. We studied individuals with chronic kidney disease in the CRIC study (Chronic Renal Insufficiency Cohort) who were free of HF at cohort entry. Incident HF hospitalizations were adjudicated and classified into HFpEF (ejection fraction, ≥50%) or HFrEF (ejection fraction, <50%) based on echocardiograms performed during the hospitalization or at a research study visit. ESKD was defined as need for chronic dialysis or kidney transplant. Cox proportional hazards were used to evaluate the association of time-updated HF subtype with risk of ESKD and mortality, adjusting for demographics, comorbidities, and medication use. Among the 3557 study participants without HF at cohort entry, mean age was 57 years and mean estimated glomerular filtration rate was 45 mL/min per 1.73 m2. A total of 682 participants had incident HF. Incidence rates for HFpEF and HFrEF were 0.9 (95% CI, 0.8-1.0) and 0.7 (95% CI, 0.6-0.8) per 100 person-years, respectively (Pdifference=0.005). Associations of incident HF with progression to ESKD were not statistically different for HFpEF (hazard ratio, 2.06 [95% CI, 1.66-2.56]) and HFrEF (hazard ratio, 1.80 [95% CI, 1.36-2.38]; P=0.42). The associations with mortality were stronger for HFrEF (hazard ratio, 2.73 [95% CI, 2.24-3.33]) compared with HFpEF (hazard ratio, 1.99 [95% CI, 1.65-2.40]; P=0.0002). In a chronic kidney disease population, the rates of HFpEF hospitalizations were greater than that of HFrEF. Risk of ESKD was high but not statically different across HF subtypes. There was a stronger association of HFrEF with mortality. Prevention and treatment of both HFpEF and HFrEF should be central priorities to improve outcomes in chronic kidney disease.

Five-Year Cumulative Cardiovascular Health and Clinical Events in Patients With Chronic Kidney Disease: The CRIC Study.

Higher cardiovascular health (CVH) score is associated with lower risks of cardiovascular disease (CVD) and mortality in the general population. However, it is unclear whether cumulative CVH is associated with CVD, end-stage kidney disease (ESKD), and death in patients with chronic kidney disease. Among individuals from the prospective CRIC (Chronic Renal Insufficiency Cohort) Study, we used the percentage of the maximum possible CVH score attained from baseline to the year 5 visit to calculate cumulative CVH score. Multivariable-adjusted Cox proportional hazards regression was used to investigate the associations of cumulative CVH with risks of adjudicated CVD (myocardial infarction, stroke, and heart failure), ESKD, and all-cause mortality. A total of 3939 participants (mean age, 57.7 years; 54.9% men) were included. The mean (SD) cumulative CVH score attained during 5 years was 55.5% (12.3%). Over a subsequent median 10.2-year follow-up, 597 participants developed CVD, 656 had ESKD, and 1324 died. A higher cumulative CVH score was significantly associated with lower risks of CVD, ESKD, and mortality, independent of the CVH score at year 5. Multivariable-adjusted hazard ratios and 95% CIs per 10% higher cumulative CVH score during 5 years were 0.81 (0.69-0.95) for CVD, 0.82 (0.70-0.97) for ESKD, and 0.80 (0.72-0.89) for mortality. Among patients with chronic kidney disease stages 2 to 4, a better CVH status maintained throughout 5 years is associated with lower risks of CVD, ESKD, and all-cause mortality. The findings support the need for interventions to maintain ideal CVH status for prevention of adverse outcomes in the population with chronic kidney disease.

Characterization of CKD illness representation profiles using patient-level factors.

Illness perceptions are the unique perspective individuals have on their illness, based on their context and experiences, and are associated with patient outcomes including coping and adherence. The purpose of this study was to explore characteristics that may be driving membership in illness perceptions cluster groups for adults with chronic kidney disease (CKD). This study was conducted within the multicenter longitudinal Chronic Renal Insufficiency Cohort (CRIC) Study. Cross-sectional data were collected and combined with CRIC data. Illness perceptions were measured using the Revised Illness Perception Questionnaire. Clustering analysis was conducted in R, and bivariate analysis including linear regression was performed in STATA 16. The sample (n = 197) had a mean age of 68, was 52% women, 53% non-White, and mean estimated glomerular filtration rate (eGFR) 56 ml/min/1.73 m2. Three cluster groups were identified, labeled as "Disengaged" (n = 20), "Well-Resourced" (n = 108), and "Distressed" (n = 69). The "Disengaged" group was characterized by low CKD knowledge, many recent hospitalization days, and the lowest perceived CKD burden. The "Well-Resourced" group was characterized by the highest levels of education, CKD knowledge, optimism, and medication adherence. The "Distressed" group was characterized by the highest levels of depression scores, comorbidity burden, CKD burden, CKD symptoms, and lowest optimism. Group membership significantly predicted the number of hospitalization days in adjusted analyses. Illness perceptions groups are associated with number of hospitalization days but are independent of many patient characteristics. Illness perceptions data could be used to tailor care for specific patients at risk for poor health outcomes.

A Bayesian Joint Model of Longitudinal Kidney Disease Progression, Recurrent Cardiovascular Events, and Terminal Event in Patients with Chronic Kidney Disease

AbstractNearly 15% (37 million) of adults in the United States (US) have chronic kidney disease (CKD). The longitudinal decline of kidney function is intricately related to the development of cardiovascular disease (CVD) and eventual “terminal” event (kidney failure and mortality) in patients with CKD. Understanding the mechanism and risk factors underlying the three key outcome processes, (1) CKD progression, (2) CVD, and (3) subsequent terminal event in the CKD patient population remains incomplete. Thus, in this work, we develop a novel trivariate joint model to study the risk factors associated with the interdependent outcomes of kidney function (as measured by longitudinal estimated glomerular filtration rate), recurrent cardiovascular events, and the terminal event. Efficient estimation and inference is proposed within a Bayesian framework using Markov Chain Monte Carlo and Bayesian P-splines for hazard functions. The proposed Bayesian framework is directly generalizable beyond trivariate outcome processes to accommodate other potential modeling of complex multi-disease processes. The method is applied to study the aforementioned trivariate processes using data from the Chronic Renal Insufficiency Cohort Study, an ongoing prospective cohort study, established by the National Institute of Diabetes and Digestive and Kidney Diseases to address the rising epidemic of CKD in the US.

Association of Integrated Proteomic and Metabolomic Modules with Risk of Kidney Disease Progression.

Proteins and metabolites play crucial roles in various biological functions and are frequently interconnected through enzymatic or transport processes. We present an integrated analysis of 4,091 proteins and 630 metabolites in the Chronic Renal Insufficiency Cohort Study (N=1,708; average follow-up for kidney failure [KF], 9.5 years, with 537 events). Proteins and metabolites were integrated using an unsupervised clustering method and we assessed associations between clusters and CKD progression and kidney failure using Cox proportional hazards models. Analyses were adjusted for demographics and risk factors including the estimated glomerular filtration rate (eGFR) and urine protein-creatinine ratio. Associations were identified in a discovery sample (random two-thirds, N=1139) and then evaluated in a replication sample (one-third, N=569). We identified 139 modules of correlated proteins and metabolites, which were represented by their principal components (PC). Modules and PC loadings were projected onto the replication sample which demonstrated a consistent network structure. Two modules, representing a total of 236 proteins and 82 metabolites, were robustly associated with both CKD progression and kidney failure in both discovery and validation samples. Using gene set enrichment, several transmembrane related terms were identified as over-represented in these modules. Transmembrane-ephrin receptor activity displayed the largest odds (OR = 13.2, P-value = 5.5×10 -5 ). A module containing CRIM1 and NPNT expressed in podocytes demonstrated particularly strong associations with kidney failure (P-value = 2.6×10 -5 ). This study demonstrates that integration of the proteome and metabolome can identify functions of pathophysiologic importance in kidney disease.

227 Depressive Symptoms and Incident Peripheral Arterial Disease among adults in the Chronic Renal Insufficiency Cohort (CRIC) Study

227 Depressive Symptoms and Incident Peripheral Arterial Disease among adults in the Chronic Renal Insufficiency Cohort (CRIC) Study

Association of Albuminuria With Chronic Kidney Disease Progression in Persons With Chronic Kidney Disease and Normoalbuminuria : A Cohort Study.

Albuminuria is a major risk factor for chronic kidney disease (CKD) progression, especially when categorized as moderate (30 to 300 mg/g) or severe (>300 mg/g). However, there are limited data on the prognostic value of albuminuria within the normoalbuminuric range (<30 mg/g) in persons with CKD. To estimate the increase in the cumulative incidence of CKD progression with greater baseline levels of albuminuria among persons with CKD who had normoalbuminuria (<30 mg/g). Multicenter prospective cohort study. 7 U.S. clinical centers. 1629 participants meeting criteria from the CRIC (Chronic Renal Insufficiency Cohort) study with CKD (estimated glomerular filtration rate [eGFR], 20 to 70 mL/min/1.73 m2) and urine albumin-creatinine ratio (UACR) less than 30 mg/g. Baseline spot urine albumin divided by spot urine creatinine to calculate UACR as the exposure variable. The 10-year adjusted cumulative incidences of CKD progression (composite of 50% eGFR decline or kidney failure [dialysis or kidney transplantation]) from confounder adjusted survival curves using the G-formula. Over a median follow-up of 9.8 years, 182 of 1629 participants experienced CKD progression. The 10-year adjusted cumulative incidences of CKD progression were 8.7% (95% CI, 5.9% to 11.6%), 11.5% (CI, 8.8% to 14.3%), and 19.5% (CI, 15.4% to 23.5%) for UACR levels of 0 to less than 5 mg/g, 5 to less than 15 mg/g, and 15 mg/g or more, respectively. Comparing persons with UACR 15 mg/g or more to those with UACR 5 to less than 15 mg/g and 0 to less than 5 mg/g, the absolute risk differences were 7.9% (CI, 3.0% to 12.7%) and 10.7% (CI, 5.8% to 15.6%), respectively. The 10-year adjusted cumulative incidence increased linearly based on baseline UACR levels. UACR was measured once. Persons with CKD and normoalbuminuria (<30 mg/g) had excess risk for CKD progression, which increased in a linear fashion with higher levels of albuminuria. None.

Klotho and Clinical Outcomes in CKD

Rationale & ObjectiveKlotho deficiency may affect clinical outcomes in chronic kidney disease (CKD) through fibroblast growth factor-23 (FGF23)-dependent and independent pathways. However, the association between circulating Klotho and clinical outcomes in CKD remains unresolved and was the focus of this study. Study DesignProspective observational study. Setting & Participants1088 participants of the Chronic Renal Insufficiency Cohort (CRIC) Study with estimated glomerular filtration rate (eGFR) 20-70 ml/min/1.73m2. ExposurePlasma Klotho level at the year-1 study visit. Outcomes5-year risks of all-cause mortality, heart failure hospitalization, atherosclerotic cardiovascular events, and a composite kidney endpoint comprised of a sustained 50% decline in eGFR, dialysis, kidney transplantation, or eGFR <15 ml/min/1.73 m2. Analytical ApproachWe divided Klotho into six groups to account for its non-normal distribution. We used Cox proportional hazards regression and subdistribution hazards models to compare survival and clinical outcomes, respectively, between Klotho groups. We sequentially adjusted for demographics, kidney function, cardiovascular risk factors, sample age, and FGF23. ResultsMean eGFR was 42 ml/min/1.73m2, and median Klotho was 0.31 ng/ml (interquartile range 0.10-3.27 ng/ml). When compared to the lowest Klotho group, survival (hazard ratio [HR] 0.77, 95% confidence interval [CI] 0.32-1.89), heart failure hospitalization (HR 1.10, 95% CI 0.38-3.17), atherosclerotic cardiovascular events (HR 1.19, 95% CI 0.57-2.52), and CKD progression (HR 1.05, 95% CI 0.58-1.91) did not differ in the high Klotho group. In contrast, FGF23 was significantly associated with mortality and heart failure hospitalization independent of Klotho levels. LimitationsDespite adjustments, we cannot exclude potential influence of residual confounding or sample storage on the results. A single measurement of plasma Klotho may not capture Klotho patterns over time. ConclusionsIn a large, diverse, well-characterized CKD cohort, Klotho was not associated with clinical outcomes, and Klotho deficiency did not confound the association of FGF23 with mortality or heart failure hospitalization.

Abstract P337: Clonal Hematopoiesis of Indeterminate Potential and Cognitive Decline in Chronic Kidney Disease Patients

Introduction: Patients with chronic kidney disease (CKD) are at substantially increased risk of dementia. Clonal hematopoiesis of indeterminate potential (CHIP), caused by clonal expansion of blood cells with somatic mutations in certain driver genes, is an established risk factor for cardiovascular diseases, including cerebral vascular disease. In contrast, CHIP was recently shown to be associated with a decreased risk of Alzheimer’s disease. Given emerging evidence of a key role of vascular compared to neurodegenerative mechanisms in CKD-related dementia, the relation of CHIP with cognitive decline in CKD patients needs clarity. We investigated the prospective associations of CHIP with cognitive impairment in a cohort of patients with CKD. Methods: Our study included 1989 participants aged 65 years or older from the Chronic Renal Insufficiency Cohort. Participants underwent high-depth targeted gene sequencing to ascertain CHIP status. Cognitive function was assessed by four cognitive tests (see Table ). For each test, incident cognitive impairment was defined as a test score one standard deviation worse than the baseline group mean. Sequential Cox proportional hazards models tested associations between CHIP and cognitive impairment after adjusting for demographics (model 1), clinical measures (model 2), and APOE genotype in a subset with available data (model 3). Results: CHIP carriers were significantly less likely to experience impairment in attention (Trails A) and executive function (Trails B) in our fully adjusted models ( Table ). There were no significant associations between CHIP and impairment in global cognition (3MS) or verbal memory (Buschke). There were no differences in the associations of CHIP with cognitive impairment across sex or race groups (data not shown). Conclusions: In patients with CKD, we observed markedly reduced risks of impairment in cognitive domains of attention and executive function. Further studies are needed to confirm our findings and evaluate mechanisms of these relations.

Abstract P413: Epigenetic Age Acceleration Measures Predict Cardiovascular Outcomes in Diabetic Kidney Disease

Introduction: Cardiovascular disease (CVD) remains the leading cause of mortality in the US, highlighting the need for novel approaches to its prediction, prevention, and management. Epigenetic age acceleration (EAA), or increased DNA methylation-based age relative to chronological age, is a promising biomarker of disease risk. While previous studies have prospectively linked EAA to CVD, recent work in patients with end-stage kidney disease showed no association between EAA and mortality from CVD, underscoring a need for more research across patient populations. Hypothesis: EAA measures, specifically intrinsic epigenetic age acceleration (IEAA), extrinsic epigenetic age acceleration (EEAA), phenotypic epigenetic age acceleration (PhenoAA), and Grim epigenetic age acceleration (GrimAA), are associated with incident CVD in diabetic kidney disease (DKD). Methods: In a subset of 496 participants from the Chronic Renal Insufficiency Cohort with DKD, selected based on kidney function decline over follow-up (large versus small), we examined four EAA measures: IEAA, EEAA, PhenoAA, and GrimAA. GrimAA is comprised of eight DNA methylation-based biomarkers, including plasminogen activator inhibitor-1 age acceleration (PAI-1 AA ) and tissue inhibitor of matrix metalloproteinase (TIMP-1 AA ), which were also assessed. Primary outcomes were incident CVD, atherosclerotic CVD, and CVD mortality; secondary outcomes included myocardial infarction, congestive heart failure (CHF), cerebrovascular accident, and peripheral artery disease (PAD). Cox proportional models tested associations between the EAA measures and CVD endpoints after adjusting for baseline demographics, clinical center, kidney function decline as a study design feature, lifestyle, and clinical risk factors. Results: Participants were predominantly male (63%), with a median age of 57 years, median eGFR of 44 mL/min/1.73m 2 , and mean hemoglobin A1c of 8.0%. After adjusting for multiple testing, each standard deviation increase in GrimAA was associated with incident CVD (HR=1.27; 95% confidence interval [CI], 1.08-1.50; p=0.012) and PAD (HR=1.65; 95% CI, 1.15-2.37; p=0.006). Likewise, PAI-1 AA was significantly associated with incident CVD (HR=1.24; 95% CI, 1.06-1.44; p=0.006) and PAD (HR=1.46; 95% CI, 1.17-1.81; p=0.001), while TIMP-1 AA was associated with CHF (HR=1.32; 95% CI, 1.09-1.60; p=0.005). Nominally significant associations between IEAA and atherosclerotic CVD were also identified (HR=1.24; 95% CI, 1.00-1.53; p=0.049). Similarly, EEAA was nominally associated with incident CVD (HR 1.22; 95% CI, 1.01-1.47, p=0.039). Conclusion: EAA measures, notably GrimAA, are promising CVD biomarkers in DKD patients. Associations of GrimAA components PAI-1 AA and TIMP-1 AA with incident CVD add to the accumulating evidence of their predictive and therapeutic potential.

Abstract P419: Urinary Na:K Excretion and the Risk of Cardiovascular Events in Patients With Chronic Kidney Disease

Introduction: The risk of death from cardiovascular disease (CVD) is three times higher in patients with chronic kidney disease (CKD). Urine sodium and potassium excretion are altered in CKD and have been identified as CVD risk factors in other populations; therefore, they may represent therapeutic targets in persons with CKD. We aimed to examine the association between the ratio of urine Na-to-K (Na:K) with incident atrial fibrillation (AF), heart failure (HF), and myocardial infarction (MI) in patients with CKD. Methods: 2341 adults with CKD enrolled in the Chronic Renal Insufficiency Cohort free of CVD at study entry. Spot urinary Na:K ratio was measured from 24-hour collections and divided into quartiles. Outcomes included physician-adjudicated hospitalizations for AF, MI and HF (overall, preserved [HFpEF] and reduced ejection fraction [HFrEF]). Incidence rates (with 95% CI) were calculated per 1000 person-years. We performed Cox regression in a series of nested models, adjusting for demographics, habits, baseline comorbidities, kidney function and concurrent medications. Results: 586 participants were in the highest quartile of urinary Na:K excretion (mean age 54.3 (SD 11.7); 46% women (271 out of 586). Mean eGFR was lower in this group [49.5 (SD 19.4)] and 24-hour urine protein was higher [0.27 (IQR 0.08-1.19)] compared to lower quartiles. Rates of incident HF [18 (95% CI 7.5-12.5)] and MI [10 (95% CI 7.5-12.5)] were higher in persons with higher urine Na:K ratio (Fig 1). In adjusted models, the highest quartile (compared with the lowest quartile) of urine Na:K ratio was associated with AF (1.57, 95% CI 1.08-2.3) and HF (1.43, 95% CI 1.15-4.12). In sensitivity analyses, elevated urine Na:K was significantly associated with HFrEF (2.18, 95% CI in 1.15-4.12), but not HFpEF. Conclusions: Urinary Na:K excretion was associated with an increased incidence of atrial fibrillation and heart failure in persons with CKD free of CVD. Sodium and potassium represent possible modifiable risk factors for CVD prevention in patients with CKD.

Abstract P414: Serum Potassium Trajectories Among Chronic Kidney Disease Patients: The Chronic Renal Insufficiency Cohort Study

Background: Patients with chronic kidney disease (CKD) are at an increased risk for blood electrolyte imbalances and compromised cardiac and renal regulatory functions. Our objective is to characterize serum potassium trajectories in patients with CKD. Methods: Data from the Chronic Renal Insufficiency Cohort Study were used to analyze 5,625 participants with CKD. Serum potassium measurements were collected annually. Hyperkalemia was defined as &gt;5.0 mmol/L, hypokalemia as &lt;3.5 mmol/L, and normokalemia as 3.5 - 5.0 mmol/L. Trajectory analysis using a semiparametric modeling strategy was conducted, incorporating hierarchical modeling and latent class models. Group-based trajectory models were used to fit longitudinal data and estimate probabilities for multiple trajectories. Models were tested using a censored normal model with various numbers of trajectory groups and functional forms (e.g., linear, quadratic, cubic). Maximum likelihood was used to estimate model parameters and model fit was assessed by comparing Bayesian Information Criterion. Posterior predicted probabilities for each individual were estimated for each trajectory group and participants were assigned the highest posterior predicted probability. Results: Participants were 56% male, 43% Black, and had a median age of 67.0 years. Overall mean serum potassium was 4.3 mmol/L over 12 annual visits with a median follow-up of 9 years. Based on model fit and statistical significance, five distinct trajectory groups were identified (Figure). Four trajectories (one hyperkalemia and three normokalemia) were stable over time. One trajectory started in the normokalemia range and increased into hyperkalemia. Conclusions: Five trajectories of serum potassium were identified among CKD patients. Characterizing serum potassium trajectories over time can help to understand who may be at increased risk for abnormal potassium and related complications and potentially inform the development of interventions to maintain normokalemia in patients with CKD.

Glycated Albumin and Adverse Clinical Outcomes in Patients With CKD: A Prospective Cohort Study

Rationale & ObjectiveHbA1c is widely used to estimate glycemia, yet it is less reliable in patients with chronic kidney disease (CKD). There is growing interest in the complementary use of glycated albumin (GA) to improve glycemic monitoring and risk stratification. However, whether GA associates with clinical outcomes in a non-dialysis dependent CKD population remains unknown. Study DesignProspective cohort study. Setting& Participants: 3110 participants with CKD from the Chronic Renal Insufficiency Cohort study. ExposureBaseline GA levels. OutcomesIncident end-stage kidney disease (ESKD), cardiovascular disease (CVD) events, and all-cause mortality. Analytical ApproachCox proportional hazards regression. ResultsParticipant characteristics included mean age 59.0 (SD 10.8) years; 1357 (43.6%) female; 1550 (49.8%) with diabetes. The median GA was 18.7 (interquartile range, 15.8-23.3)%. During an average 7.9-year follow-up, there were 980 ESKD events, 968 CVD events, and 1084 deaths. Higher GA levels were associated with greater risks of all outcomes, regardless of diabetes status: hazard ratios for ESKD, CVD, and death among participants with the highest quartile compared with quartile 2 (reference) were 1.42 (95%CI, 1.19-1.69), 1.67 (CI, 1.39-2.01), and 1.63 (CI, 1.37-1.94), respectively. The associations with CVD and death appeared J-shaped, with increased risk also seen at the lowest GA levels. Among patients with coexisting CKD and diabetes, the associations of GA with outcomes remained significant even after adjusting for HbA1c. For each outcome, we observed a significant increase in the fraction of new prognostic information when both GA and HbA1c were added to models. LimitationsLack of longitudinal GA measurements; HbA1c measurements were largely unavailable in participants without diabetes. ConclusionsAmong patients with CKD, GA levels were independently associated with risks of ESKD, CVD, and mortality, regardless of diabetes status. GA added prognostic value to HbA1c among patients with coexisting CKD and diabetes.

Risk factors for hip and vertebral fractures in chronic kidney disease: the CRIC study.

Fracture risk is high in chronic kidney disease (CKD) and underlying pathophysiology and risk factors may differ from the general population. In a cohort study of 3939 participants in the chronic renal insufficiency cohort (CRIC), we used Cox regression to test associations of putative risk factors with the composite of first hip or vertebral fracture assessed using hospital discharge codes. Mean age was 58years, 45% were female, 42% were Black, and 13% were Hispanic. There were 82 hip and 24 vertebral fractures over a mean (SD) 11.1 (4.8) years (2.4 events per 1000 person-years [95% CI: 2.0, 2.9]). Measured at baseline, diabetes, lower body mass index (BMI), steroid use, proteinuria, and elevated parathyroid hormone (PTH) were each associated with fracture risk after adjusting for covariates. Lower time-updated estimated glomerular filtration rate (eGFR) was associated with fractures (HR 1.20 per 10mL/min/1.73m2 lower eGFR; 95% CI: 1.04, 1.38) as were lower time-updated serum calcium and bicarbonate concentrations. Among time-updated categories of kidney function, hazard ratios (95% CI) for incident fracture were 4.53 (1.77, 11.60) for kidney failure treated with dialysis and 2.48 (0.86, 7.14) for post-kidney transplantation, compared with eGFR ≥60. Proton pump inhibitor use, dietary calcium intake, measures of vitamin D status, serum phosphate, urine calcium and phosphate, and plasma fibroblast growth factor-23 were not associated with fracture risk. In conclusion, lower eGFR in CKD is associated with higher fracture risk, which was highest in kidney failure. Diabetes, lower BMI, steroid use, proteinuria, higher serum concentrations of PTH, and lower calcium and bicarbonate concentrations were associated with fractures and may be modifiable risk factors.

Prognostic utility of rhythmic components in 24-h ambulatory blood pressure monitoring for the risk stratification of chronic kidney disease patients with cardiovascular co-morbidity

Chronic kidney disease (CKD) represents a significant global burden. Hypertension is a modifiable risk factor for rapid progression of CKD. We extend the risk stratification by introducing the non-parametric determination of rhythmic components in 24-h profiles of ambulatory blood pressure monitoring (ABPM) in the Chronic Renal Insufficiency Cohort (CRIC) and the African American Study for Kidney Disease and Hypertension (AASK) cohort using Cox proportional hazards models. We find that rhythmic profiling of BP through JTK_CYCLE analysis identifies subgroups of CRIC participants that were more likely to die due to cardiovascular causes. While our fully adjusted model shows a trend towards a significant association between absent cyclic components and cardiovascular death in the full CRIC cohort (HR: 1.71,95% CI: 0.99–2.97, p = 0.056), CRIC participants with a history of cardiovascular disease (CVD) and absent cyclic components in their BP profile had at any time a 3.4-times higher risk of cardiovascular death than CVD patients with cyclic components present in their BP profile (HR: 3.37, 95% CI: 1.45–7.87, p = 0.005). This increased risk was not explained by the dipping or non-dipping pattern in ABPM. Due to the large differences in patient characteristics, the results do not replicate in the AASK cohort. This study suggests rhythmic blood pressure components as a potential novel biomarker to unmask excess risk among CKD patients with prior cardiovascular disease.