scholarly journals Classification of Chronic Kidney Disease Biomarkers to Predict Coronary Artery Calcium

2012 ◽  
Vol 36 (1) ◽  
pp. 26-35 ◽  
Author(s):  
Sterling McPherson ◽  
Celestina Barbosa-Leiker ◽  
Robert Short ◽  
Katherine R. Tuttle
Keyword(s):  
Chronic Kidney Disease ◽  
Coronary Artery ◽  
Kidney Disease ◽  
Coronary Artery Calcium ◽  
Disease Biomarkers

scholarly journals Chronic Kidney Disease, Plasma Lipoproteins, and Coronary Artery Calcium Incidence

2013 ◽  
Vol 33 (3) ◽  
pp. 652-658 ◽  
Author(s):  
Julio A. Lamprea-Montealegre ◽  
Robyn L. McClelland ◽  
Brad C. Astor ◽  
Kunihiro Matsushita ◽  
Michael Shlipak ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Coronary Artery ◽  
Kidney Disease ◽  
Coronary Artery Calcium ◽  
Plasma Lipoproteins

Relation of Aortic Valve and Coronary Artery Calcium in Patients With Chronic Kidney Disease to the Stage and Etiology of the Renal Disease

2009 ◽  
Vol 103 (10) ◽  
pp. 1473-1477 ◽  
Author(s):  
Lieuwe H. Piers ◽  
Hugo R.W. Touw ◽  
Ron Gansevoort ◽  
Casper F.M. Franssen ◽  
Matthijs Oudkerk ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Coronary Artery ◽  
Kidney Disease ◽  
Aortic Valve ◽  
Renal Disease ◽  
Coronary Artery Calcium

scholarly journals Predictive Model for High Coronary Artery Calcium Score in Young Patients with Non-Dialysis Chronic Kidney Disease

2021 ◽  
Vol 11 (12) ◽  
pp. 1372
Author(s):  
Tae Ryom Oh ◽  
Su Hyun Song ◽  
Hong Sang Choi ◽  
Sang Heon Suh ◽  
Chang Seong Kim ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Logistic Regression ◽  
Coronary Artery ◽  
Random Forest ◽  
Kidney Disease ◽  
Predictive Models ◽  
Coronary Artery Calcium ◽  
Validation Dataset ◽  
Support Vector ◽  
Test Dataset

Cardiovascular disease is a major complication of chronic kidney disease. The coronary artery calcium (CAC) score is a surrogate marker for the risk of coronary artery disease. The purpose of this study is to predict outcomes for non-dialysis chronic kidney disease patients under the age of 60 with high CAC scores using machine learning techniques. We developed the predictive models with a chronic kidney disease representative cohort, the Korean Cohort Study for Outcomes in Patients with Chronic Kidney Disease (KNOW-CKD). We divided the cohort into a training dataset (70%) and a validation dataset (30%). The test dataset incorporated an external dataset of patients that were not included in the KNOW-CKD cohort. Support vector machine, random forest, XGboost, logistic regression, and multi-perceptron neural network models were used in the predictive models. We evaluated the model’s performance using the area under the receiver operating characteristic (AUROC) curve. Shapley additive explanation values were applied to select the important features. The random forest model showed the best predictive performance (AUROC 0.87) and there was a statistically significant difference between the traditional logistic regression model and the test dataset. This study will help identify patients at high risk of cardiovascular complications in young chronic kidney disease and establish individualized treatment strategies.

scholarly journals Association of Mildly Reduced Kidney Function With Cardiovascular Disease: The Framingham Heart Study

2021 ◽  
Author(s):  
Feven Ataklte ◽  
Rebecca J. Song ◽  
Ashish Upadhyay ◽  
Ibrahim Musa Yola ◽  
Ramachandran S. Vasan ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
Coronary Artery ◽  
Kidney Disease ◽  
Coronary Artery Calcium ◽  
Cox Regression ◽  
Disease Incidence ◽  
Subclinical Atherosclerosis ◽  
Calcium Score ◽  
Left Ventricular

Background Data are limited on the association of mildly reduced estimated glomerular filtration rate (eGFR 60–89 mL/min per 1.73 m 2 ) with cardiovascular disease (CVD) in the community. Methods and Results We evaluated 3066 Framingham Offspring Study participants (55% women, mean age 58 years), without clinical CVD. Using multivariable regression, we related categories of mildly reduced eGFR (80–89, 70–79, or 60–69 versus ≥90 mL/min per 1.73 m 2 [referent]) to prevalent coronary artery calcium, carotid intima media thickness, and left ventricular hypertrophy, and to circulating concentrations of cardiac stress biomarkers. We related eGFR categories to CVD incidence and to progression to ≥Stage 3 chronic kidney disease (eGFR <60 mL/min per 1.73 m 2 ) using Cox regression. Individuals with eGFR 60–69 mL/min per 1.73 m 2 (n=320) had higher coronary artery calcium score (odds ratio 1.69; 95% CI 1.02–2.80) compared with the referent group. Individuals with eGFR 60–69 and 70–79 mL/min per 1.73 m 2 had higher blood growth differentiating factor‐15 concentrations (β=0.131 and 0.058 per unit‐increase in log‐biomarker, respectively). Participants with eGFR 60–69 and 80–89 mL/min per 1.73 m 2 had higher blood B‐type natriuretic peptide concentrations (β=0.119 and 0.116, respectively). On follow‐up (median 16 years; 691 incident CVD and 252 chronic kidney disease events), individuals with eGFR 60–69 and 70–79 mL/min per 1.73 m 2 experienced higher CVD incidence (hazard ratio [HR], 1.40; 95% CI, 1.02–1.93 and 1.45, 95% CI, 1.05–2.00, respectively, versus referent). Participants with eGFR 60–69 mL/min per 1.73 m 2 experienced higher chronic kidney disease incidence (HR, 2.94; 95% CI, 1.80–4.78 versus referent). Conclusions Individuals with mildly reduced eGFR 60–69 mL/min per 1.73 m 2 have a higher burden of subclinical atherosclerosis cross‐sectionally, and a greater risk of CVD and chronic kidney disease progression prospectively. Additional studies are warranted to confirm our findings.

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