Dataset Information

Kidney function and sudden cardiac death in the community: The Atherosclerosis Risk in Communities (ARIC) Study.

ABSTRACT: Individuals with chronic kidney disease, particularly those requiring dialysis, are at high risk of sudden cardiac death (SCD). However, comprehensive data for the full spectrum of kidney function and SCD risk in the community are sparse. Furthermore, newly developed equations for estimated glomerular filtration rate (eGFR) and novel filtration markers might add further insight to the role of kidney function in SCD.We investigated the associations of baseline eGFRs using serum creatinine, cystatin C, or both (eGFRcr, eGFRcys, and eGFRcr-cys); cystatin C itself; and ?2-microglobulin (B2M) with SCD (205 cases through 2001) among 13,070 black and white ARIC participants at baseline during 1990-1992 using Cox regression models accounting for potential confounders.Low eGFR was independently associated with SCD risk: for example, hazard ratio for eGFR <45 versus ?90mL/(min 1.73m(2)) was 3.71 (95% CI 1.74-7.90) with eGFRcr, 5.40 (2.97-9.83) with eGFRcr-cys, and 5.24 (3.01-9.11) with eGFRcys. When eGFRcr and eGFRcys were included together in a single model, the association was only significant for eGFRcys. When three eGFRs, cystatin C, and B2M were divided into quartiles, B2M demonstrated the strongest association with SCD (hazard ratio for fourth quartile vs first quartile 3.48 (2.03-5.96) vs ?2.7 for the other kidney markers).Kidney function was independently and robustly associated with SCD in the community, particularly when cystatin C or B2M was used. These results suggest the potential value of kidney function as a risk factor for SCD and the advantage of novel filtration markers over eGFRcr in this context.

SUBMITTER: Suzuki T

PROVIDER: S-EPMC5074685 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Kidney function and sudden cardiac death in the community: The Atherosclerosis Risk in Communities (ARIC) Study.

Suzuki Takeki T Agarwal Sunil K SK Deo Rajat R Sotoodehnia Nona N Grams Morgan E ME Selvin Elizabeth E Calkins Hugh H Rosamond Wayne W Tomaselli Gordon G Coresh Josef J Matsushita Kunihiro K

American heart journal 20160714

<h4>Background</h4>Individuals with chronic kidney disease, particularly those requiring dialysis, are at high risk of sudden cardiac death (SCD). However, comprehensive data for the full spectrum of kidney function and SCD risk in the community are sparse. Furthermore, newly developed equations for estimated glomerular filtration rate (eGFR) and novel filtration markers might add further insight to the role of kidney function in SCD.<h4>Methods</h4>We investigated the associations of baseline e ...[more]

PMID: 27659882

Similar Datasets

Project description:People with end-stage renal disease are at high risk for bone fracture. Less is known about fracture risk in milder chronic kidney disease and whether chronic kidney disease-associated fracture risk varies by sex or assessment with alternative kidney markers.Prospective cohort study.10,955 participants from the Atherosclerosis Risk in Communities (ARIC) Study followed up from 1996 to 2011.Kidney function as assessed by creatinine-based estimated glomerular filtration rate (eGFRcr), urine albumin-creatinine ratio, and alternative filtration markers.Fracture-related hospitalizations determined by diagnostic code.Baseline kidney markers; hospitalizations identified by self-report during annual telephone contact and active surveillance of local hospital discharge lists.Mean age of participants was 63 years, 56% were women, and 22% were black. During a median follow-up of 13 years, there were 722 incident fracture-related hospitalizations. Older age, female sex, and white race were associated with higher risk for fracture (P<0.001). The relationship between eGFRcr and fracture risk was nonlinear: <60mL/min/1.73m(2), lower eGFRcr was associated with higher fracture risk (adjusted HR per 10mL/min/1.73m(2) lower, 1.24; 95% CI, 1.05-1.47); there was no statistically significant association for ?60mL/min/1.73m(2) in the primary analysis. In contrast, there was a graded association between other markers of kidney function and subsequent fracture, including albumin-creatinine ratio (HR per doubling, 1.10; 95% CI, 1.06-1.14), cystatin C-based eGFR (HR per 1-SD decrease, 1.15; 95% CI, 1.06-1.25), and 1/?2-microglobulin (HR per 1-SD decrease, 1.26, 95% CI, 1.15-1.37).No bone mineral density assessment; one-time measurement of kidney function.Both low eGFR and higher albuminuria were significant risk factors for fracture in this community-based population. The shape of the association in the upper ranges of eGFR varied by the filtration marker used in estimation.

Project description:BACKGROUND:The risk of sudden cardiac death (SCD) is known to be dynamic. However, the accuracy of a dynamic SCD prediction is unknown. We aimed to measure the dynamic predictive accuracy of ECG biomarkers of SCD and competing non-sudden cardiac death (non-SCD). METHODS:Atherosclerosis Risk In Community study participants with analyzable ECGs in sinus rhythm were included (n?=?15,716; 55% female, 73% white, age 54.2?±?5.8 y). ECGs of 5 follow-up visits were analyzed. Global electrical heterogeneity and traditional ECG metrics (heart rate, QRS, QTc) were measured. Adjudicated SCD was the primary outcome; non-SCD was the competing outcome. Time-dependent area under the receiver operating characteristic curve (ROC(t) AUC) analysis was performed to assess the prediction accuracy of a continuous biomarker in a period of 3,6,9?months, and 1,2,3,5,10, and 15?years using a survival analysis framework. Reclassification improvement as compared to clinical risk factors (age, sex, race, diabetes, hypertension, coronary heart disease, stroke) was measured. RESULTS:Over a median 24.4 y follow-up, there were 577 SCDs (incidence 1.76 (95%CI 1.63-1.91)/1000 person-years), and 829 non-SCDs [2.55 (95%CI 2.37-2.71)]. No ECG biomarkers predicted SCD within 3?months after ECG recording. Within 6?months, spatial ventricular gradient (SVG) elevation predicted SCD (AUC 0.706; 95%CI 0.526-0.886), but not a non-SCD (AUC 0.527; 95%CI 0.303-0.75). SVG elevation more accurately predicted SCD if the ECG was recorded 6?months before SCD (AUC 0.706; 95%CI 0.526-0.886) than 2?years before SCD (AUC 0.608; 95%CI 0.515-0.701). Within the first 3?months after ECG recording, only SVG azimuth improved reclassification of the risk beyond clinical risk factors: 18% of SCD events were reclassified from low or intermediate risk to a high-risk category. QRS-T angle was the strongest long-term predictor of SCD (AUC 0.710; 95%CI 0.668-0.753 for ECG recorded within 10?years before SCD). CONCLUSION:Short-term and long-term predictive accuracy of ECG biomarkers of SCD differed, reflecting differences in transient vs. persistent SCD substrates. The dynamic predictive accuracy of ECG biomarkers should be considered for competing SCD risk scores. The distinction between markers predicting short-term and long-term events may represent the difference between markers heralding SCD (triggers or transient substrates) versus markers identifying persistent substrate.

Project description:BACKGROUND:Frail individuals are at increased risk for poor outcomes, including adverse drug events. Kidney function is often compromised in frailty and is a key consideration in medication choice and dosing; however, creatinine-based measures of kidney function may be biased in frail individuals. STUDY DESIGN:Observational study. SETTING & PARTICIPANTS:4,987 community-dwelling older men and women with complete data who participated in visit 5 of the Atherosclerosis Risk in Communities (ARIC) Study (2011-2013). PREDICTORS:Kidney measures included glomerular filtration rate (GFR) estimated using serum creatinine (eGFRcr) and serum cystatin C level (eGFRcys) and urine albumin-creatinine ratio. OUTCOME:Frailty, defined using established criteria of 3 or more frailty characteristics (weight loss, slowness, exhaustion, weakness, and low physical activity). RESULTS:341 (7%) participants were classified as frail, 1,475 (30%) had eGFRcr<60mL/min/1.73m2, 2,480 (50%) had eGFRcys<60mL/min/1.73m2, and 1,006 (20%) had albuminuria with albumin excretion ? 30mg/g. Among frail participants, prevalences of eGFRcr and eGFRcys<60mL/min/1.73m2 were 45% and 77%, respectively. Adjusted for covariates, frailty showed a moderate association with eGFRcr and a strong association with eGFRcys and albumin-creatinine ratio. Frail individuals with eGFRcr of 60 to <75mL/min/1.73m2 were frequently reclassified to lower eGFR categories using eGFRcys (49% to 45-<60, 32% to 30-<45, and 3% to <30mL/min/1.73m2). Hyperpolypharmacy (taking ?10 classes of medications) was more common in frail individuals (54% vs 38% of nonfrail), including classes requiring kidney clearance (eg, digoxin) and associated with falls and subsequent complications (eg, hypnotic/sedatives and anticoagulants). LIMITATIONS:Cross-sectional study design. CONCLUSIONS:Frail individuals had a high prevalence of reduced kidney function, with large discrepancies when reduced kidney function was classified by eGFRcys versus eGFRcr. Given the substantial medication burden and uncertainty in chronic kidney disease classification, confirmation of kidney function with alternative biomarkers may be warranted to ensure careful prescribing practices in this vulnerable population.

Project description:BACKGROUND:Reduced lung function is associated with clinical outcomes such as cardiovascular disease. However, little is known about its association with incident end-stage renal disease (ESRD) and chronic kidney disease (CKD). STUDY DESIGN:Prospective cohort study. SETTING & PARTICIPANTS:14,946 participants aged 45 to 64 years at baseline (1987-1989) in the Atherosclerosis Risk in Communities (ARIC) Study (45.0% men and 25.2% black), with follow-up through 2012. PREDICTORS:Race- and sex-specific quartiles of percent-predicted forced vital capacity (FVC) and the proportion of forced expiratory volume in 1 second of expiration to FVC (FEV1/FVC) at baseline determined with spirometry. OUTCOMES:Incident ESRD (defined here as renal replacement therapy or death due to CKD) as the primary outcome and incident CKD (defined here as ESRD, ?25% decline in estimated glomerular filtration rate to a level <60mL/min/1.73m2, or CKD-related hospitalizations/deaths) as the secondary outcome. RESULTS:During a median follow-up of 23.6 years, 526 (3.5%) participants developed ESRD. After adjusting for potential confounders, the cause-specific HR of incident ESRD for the lowest (vs highest) quartile was 1.72 (95% CI, 1.31-2.26) for percent-predicted FVC and 1.33 (95% CI, 1.03-1.73) for FEV1/FVC. Compared to a high-normal lung function pattern, a mixed pattern (ie, percent-predicted FVC<80% and FEV1/FVC<70%; 3.4% of participants) demonstrated the highest adjusted cause-specific HR of ESRD at 2.28 (95% CI, 1.50-3.45), followed by the restrictive pattern (ie, percent-predicted FVC<80% and FEV1/FVC?70%; 4.8% of participants) at 2.03 (95% CI, 1.47-2.81), obstructive pattern (ie, percent-predicted FVC?80% and FEV1/FVC<70%; 18.9% of participants) at 1.47 (95% CI, 1.09-1.99), and low-normal pattern (ie, percent-predicted FVC 80%-<100% and FEV1/FVC?70%, or percent-predicted FVC?80% and FEV1/FVC 70%-<75%; 44.3% of participants) at 1.21 (95% CI, 0.94-1.55). Similar associations were seen with incident CKD. LIMITATIONS:Limited number of participants with moderate/severe lung dysfunction and spirometry only at baseline. CONCLUSIONS:Reduced lung function, particularly lower percent-predicted FVC, is independently associated with CKD progression. Our findings suggest a potential pathophysiologic contribution of reduced lung function to the development of CKD and a need for monitoring kidney function in persons with reduced lung function.

Dataset Information

Kidney function and sudden cardiac death in the community: The Atherosclerosis Risk in Communities (ARIC) Study.

Publications

Kidney function and sudden cardiac death in the community: The Atherosclerosis Risk in Communities (ARIC) Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure