scholarly journals THU0144 Performance of the ers-ra cardiovascular risk prediction tool: external validation in a large swedish cohort with ra

Author(s):  
L. Ljung ◽  
P. Ueda ◽  
K.P. Liao ◽  
J.D. Greenberg ◽  
C.J. Etzel ◽  
...  
2019 ◽  
Vol 210 (4) ◽  
pp. 161-167 ◽  
Author(s):  
Loai Albarqouni ◽  
Jennifer A Doust ◽  
Dianna Magliano ◽  
Elizabeth LM Barr ◽  
Jonathan E Shaw ◽  
...  

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Annette Diener ◽  
Salomé Celemín-Heinrich ◽  
Karl Wegscheider ◽  
Kai Kolpatzik ◽  
Katrin Tomaschko ◽  
...  

RMD Open ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. e000771 ◽  
Author(s):  
Lotta Ljung ◽  
Peter Ueda ◽  
Katherine P Liao ◽  
Jeffrey D Greenberg ◽  
Carol J Etzel ◽  
...  

BackgroundCardiovascular (CV) risk stratification for patients with rheumatoid arthritis (RA) should facilitate evidence-based management. Prior work has derived an internally validated a CV risk score, the Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis (ERS-RA), using US data. The aim of this study was to perform an external validation among unselected patients with RA from Europe.MethodsThree large, partially overlapping, cohorts of patients with RA from the Swedish Rheumatology Quality register were identified for external validation, two with information on smoking and two with close to 10 years of median follow-up. The 10 -year rate of first CV events was assessed using the Kaplan-Meier method. The performance of ERS-RA was assessed using C-index and comparisons of observed versus predicted risks.ResultsThe C-index for ERS-RA varied across the three RA cohorts, from 0.75 to 0.78. Predicted risks corresponded well to observed risks among individuals with ≤10 % observed 10- year CV risk, but underestimated risk in individuals with a higher observed risk. In the absence of data on smoking, ERS-RA underestimated the CV risk by 3.3%, whereas in the cohorts including data on smoking, the calibration was within 1% (0.06% and 0.7%). In the clinically relevant risk intervals (<5%, 5.0%–<7.5%, 7.5%–<10%), ERS-RA performed well.ConclusionsIn an unselected Swedish population with RA, ERS-RA performed well, although the 10-year CV risk was underestimated in high-risk groups and in the absence of data on smoking. ERS-RA could be considered as a risk stratification tool for targeted preventive interventions in clinical rheumatology practice.


Author(s):  
Paulin Paul ◽  
Noel George ◽  
B. Priestly Shan

Background: The accuracy of Joint British Society calculator3 (JBS3) cardiovascular risk prediction may vary within Indian population, and is not yet studied using south Indian Kerala based population data. Objectives: To evaluate the cardiovascular disease (CV) risk estimation using the traditional CVD risk factors (TRF) in Kerala based population. Methods: This cross sectional study has 977 subjects aged between 30 and 80 years. The traditional CVD risk markers are recorded from the medical archives of clinical locations at Ernakulum district, in Kerala The 10 year risk categories used are low (<7.5%), intermediate (≥7.5% and <20%), and high (≥20%). The lifetime classifications low lifetime (≤39%) and high lifetime (≥40%) are used. The study was evaluated using statistical analysis. Chi-square test was done for dependent and categorical CVD risk variable comparison. Multivariate ordinal logistic regression for 10-year risk model and odds logistic regression analysis for lifetime model was used to identify significant risk variables. Results: The mean age of the study population is 52.56±11.43 years. The risk predictions has 39.1% in low, 25.0% in intermediate, and 35.9% had high 10-year risk. The low lifetime risk had 41.1% and 58.9% is high lifetime risk. Reclassifications to high lifetime are higher from intermediate 10-year risk category. The Hosmer-Lemeshow goodness-of-fit statistics indicates a good model fit. Conclusion: The risk prediction and timely intervention with appropriate therapeutic and lifestyle modification is useful in primary prevention. Avoiding short-term incidences and reclassifications to high lifetime can reduce the CVD mortality rates.


Sign in / Sign up

Export Citation Format

Share Document