Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients

2019 ◽  
pp. 187-206
Author(s):  
Mohamed Alloghani ◽  
Dhiya Al-Jumeily ◽  
Abir Hussain ◽  
Panagiotis Liatsis ◽  
Ahmed J. Aljaaf
Keyword(s):  
Machine Learning ◽  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease

scholarly journals Risk for recurrent cardiovascular disease events among patients with diabetes and chronic kidney disease

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Demetria Hubbard ◽  
Lisandro D. Colantonio ◽  
Robert S. Rosenson ◽  
Todd M. Brown ◽  
Elizabeth A. Jackson ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
Health Insurance ◽  
High Risk ◽  
Kidney Disease ◽  
Peripheral Artery ◽  
Increased Risk ◽  
Patients With Diabetes ◽  
Very High

Abstract 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.

scholarly journals P867Yield of targeted AF screening in a high-risk cohort with chronic kidney disease, diabetes mellitus and cardiovascular disease

EP Europace ◽  
2018 ◽  
Vol 20 (suppl_1) ◽  
pp. i163-i163
Author(s):  
P Sobocinski-Doliwa ◽  
J M Corander ◽  
M Rosenqvist ◽  
J Spaak
Keyword(s):  
Diabetes Mellitus ◽  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
High Risk Cohort

The Health Check-Up Data-Analysis for Risk Assessment of Chronic Kidney Disease (CKD) in Taiwan

2021 ◽  
Author(s):  
Ming-Shu Chen ◽  
Mao-Jhen Jhou ◽  
Chi-Jie Lu ◽  
Chung-Chih Hung
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Assessment ◽  
Chronic Kidney Disease ◽  
Risk Factor ◽  
High Risk ◽  
Kidney Disease ◽  
High Risk Population ◽  
Healthy Population ◽  
High Risk Factors

Early detection of chronic kidney disease (CKD) for high-risk population adults is very important. It has a common risk factor and causal relationship with chronic diseases such as diabetes, hypertension and cardiovascular disease etc. The results of this study provide that for early high-risk factors detection in CKD healthy population can be used by home care to recommend adjuvant treatment.

Prevalence of Chronic Kidney Disease in Patients With or at a High Risk of Cardiovascular Disease

2010 ◽  
Vol 63 (2) ◽  
pp. 225-228
Author(s):  
Aleix Cases Amenós ◽  
José R. González-Juanatey ◽  
Pedro Conthe Gutiérrez ◽  
Arantxa Matalí Gilarranz ◽  
Cristina Garrido Costa
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease

Chronic kidney disease detection, staging and treatment in cardiovascular disease prevention

Heart ◽  
2021 ◽  
pp. heartjnl-2020-318004
Author(s):  
Julio Alejandro Lamprea-Montealegre ◽  
Michael G Shlipak ◽  
Michelle M Estrella
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
Glomerular Filtration Rate ◽  
High Risk ◽  
Kidney Disease ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Atherosclerotic Cardiovascular Disease ◽  
Overwhelming Evidence ◽  
End Stage

Globally, nearly 10% of the population has chronic kidney disease (CKD), defined as a glomerular filtration rate less than 60 mL/min/1.73 m2 and/or a urinary albumin to creatinine ratio greater than 30 mg/g (3 mg/mmol). Persons with CKD have a substantially high risk of cardiovascular disease. Indeed, most persons with CKD are far more likely to develop a cardiovascular event than to progress to end-stage kidney disease. Although early detection and staging of CKD could help prevent its cardiovascular consequences, current rates of testing for CKD are very low, even among high-risk populations such as persons with diabetes, hypertension and cardiovascular disease. In this review, we first describe the need to test for both estimated glomerular filtration rate and albuminuria among persons at high risk of CKD in order to properly stage CKD and enhance cardiovascular risk stratification. We then discuss how detection and staging for CKD could help prioritise patients at high risk of atherosclerotic cardiovascular disease and heart failure who could derive the largest benefit from cardiovascular preventive interventions. In addition, we discuss the central role of CKD detection and staging in the initiation of cardiorenal preventive therapies, such as the sodium–glucose cotransporter 2 inhibitors, which have shown overwhelming evidence of cardiorenal protection. We conclude by discussing strategies to overcome historical barriers to CKD detection and treatment.

Glycemic control and cardiovascular disease in a high-risk chronic kidney disease population

Therapy ◽  
2009 ◽  
Vol 6 (4) ◽  
pp. 507-513 ◽  
Author(s):  
Rachandeep Singh ◽  
Ravi Nistala ◽  
Samy I McFarlane ◽  
Adam Whaley-Connell
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
Glycemic Control ◽  
Chronic Kidney Disease Population
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