Contribution of impaired renal function to cardiovascular risk prediction models in renal transplant recipients

2014 ◽  
Vol 28 (12) ◽  
pp. 1383-1392 ◽  
Author(s):  
Mowad Benguzzi ◽  
Holly Mansell ◽  
Abubakar Hassan ◽  
Hamdi Elmoselhi ◽  
Rahul Mainra ◽  
...  
Keyword(s):  
Renal Function ◽  
Cardiovascular Risk ◽  
Renal Transplant ◽  
Risk Prediction ◽  
Impaired Renal Function ◽  
Prediction Models ◽  
Renal Transplant Recipients ◽  
Transplant Recipients ◽  
Risk Prediction Models ◽  
Cardiovascular Risk Prediction

scholarly journals Validity of Cardiovascular Risk Prediction Models in Kidney Transplant Recipients

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Holly Mansell ◽  
Samuel Alan Stewart ◽  
Ahmed Shoker
Keyword(s):  
Cardiovascular Risk ◽  
Renal Transplant ◽  
Risk Prediction ◽  
Prediction Models ◽  
Risk Model ◽  
Population Characteristics ◽  
Renal Transplant Recipients ◽  
Transplant Recipients ◽  
Risk Prediction Models ◽  
Cardiovascular Risk Prediction

Background.Predicting cardiovascular risk is of great interest in renal transplant recipients since cardiovascular disease is the leading cause of mortality.Objective.To conduct a systematic review to assess the validity of cardiovascular risk prediction models in this population.Methods.Five databases were searched (MEDLINE, EMBASE, SCOPUS, CINAHL, and Web of Science) and cohort studies with at least one year of follow-up were included. Variables that described population characteristics, study design, and prognostic performance were extracted. The Quality in Prognostic Studies (QUIPS) tool was used to evaluate bias.Results.Seven studies met the criteria for inclusion, of which, five investigated the Framingham risk score and three used a transplant-specific model. Sample sizes ranged from 344 to 23,575, and three studies lacked sufficient event rates to confidently reach conclusion. Four studies reported discrimination (as measured byc-statistic), which ranged from 0.701 to 0.75, while only one risk model was both internally and externally validated.Conclusion.The Framingham has underestimated cardiovascular events in renal transplant recipients, but these studies have not been robust. A risk prediction model has been externally validated at least on one occasion, but comprehensive validation in multiple cohorts and impact analysis are recommended before widespread clinical application is advocated.

scholarly journals Cardiovascular Risk Prediction Models in People Living with HIV in Colombia

2021 ◽  
Author(s):  
Angel A. García-Peña ◽  
Esther De-Vries ◽  
Jairo Aldana-Bitar ◽  
Edward Cáceres ◽  
Juan Botero ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Risk Prediction ◽  
Prediction Models ◽  
People Living With Hiv ◽  
Risk Prediction Models ◽  
Cardiovascular Risk Prediction ◽  
Living With Hiv

scholarly journals Use of Long-term Cumulative Blood Pressure in Cardiovascular Risk Prediction Models

2018 ◽  
Vol 3 (11) ◽  
pp. 1096 ◽  
Author(s):  
Lindsay R. Pool ◽  
Hongyan Ning ◽  
John Wilkins ◽  
Donald M. Lloyd-Jones ◽  
Norrina B. Allen
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Risk Prediction ◽  
Prediction Models ◽  
Risk Prediction Models ◽  
Cardiovascular Risk Prediction

scholarly journals Deficiencies of Cardiovascular Risk Prediction Models for Type 1 Diabetes

Diabetes Care ◽  
2006 ◽  
Vol 29 (8) ◽  
pp. 1860-1865 ◽  
Author(s):  
J. C. Zgibor ◽  
G. A. Piatt ◽  
K. Ruppert ◽  
T. J. Orchard ◽  
M. S. Roberts
Keyword(s):  
Type 1 Diabetes ◽  
Cardiovascular Risk ◽  
Risk Prediction ◽  
Prediction Models ◽  
Risk Prediction Models ◽  
Cardiovascular Risk Prediction
Sign in / Sign up

Export Citation Format

Share Document