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Predicción del riesgo cardiovascular en pacientes con enfermedad renal crónica

Overview of attention for article published in Nefrología, May 2017
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Title
Predicción del riesgo cardiovascular en pacientes con enfermedad renal crónica
Published in
Nefrología, May 2017
DOI 10.1016/j.nefro.2016.10.002
Pubmed ID
Authors

Santiago Cedeño Mora, Marian Goicoechea, Esther Torres, Úrsula Verdalles, Ana Pérez de José, Eduardo Verde, Soledad García de Vinuesa, José Luño

Abstract

Scores underestimate the prediction of cardiovascular risk (CVR) as they are not validated in patients with chronic kidney disease (CKD). Two of the most commonly used scores are the Framingham Risk Score (FRS-CVD) and the ASCVD (AHA/ACC 2013). The aim of this study is to evaluate the predictive ability of experiencing a cardiovascular event (CVE) via these 2scores in the CKD population. Prospective, observational study of 400 prevalent patients with CKD (stages 4 and 5 according the KDOQI; not on dialysis). Cardiovascular risk was calculated according to the 2scores and the predictive capacity of cardiovascular events (atherosclerotic events: myocardial infarction, ischaemic and haemorrhagic stroke, peripheral vascular disease; and non-atherosclerotic events: heart failure) was analysed. Forty-nine atherosclerotic cardiovascular events occurred in 40.3±6.6 months of follow-up. Most of the patients were classified as high CVR by both scores (59% by the FRS-CVD and 75% by the ASCVD). All cardiovascular events occurred in the high CVR patients and both scores (FRS-CVD log-rank 12.2, P<.001, HR 3.1 [95% CI: 1.3-7.1] P: 0.006 and ASCVD log-rank 8.5 P<.001, HR 3.2 [95% CI: 1.1-9.4] P: 0.03) were independent predictors adjusted to renal function, albuminuria and previous cardiovascular events. The cardiovascular risk scores (FRS-CVD and ASCVD [AHA/ACC 2013]) can estimate the probability of atherosclerotic cardiovascular events in patients with CKD regardless of renal function, albuminuria and previous cardiovascular events.

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Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 22%
Student > Master 6 7%
Student > Postgraduate 6 7%
Student > Ph. D. Student 5 6%
Student > Doctoral Student 4 5%
Other 14 17%
Unknown 28 35%
Readers by discipline Count As %
Medicine and Dentistry 27 33%
Nursing and Health Professions 10 12%
Unspecified 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Chemistry 2 2%
Other 7 9%
Unknown 28 35%