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Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP

Authors :
Kunihiro Matsushita
Stephen Kaptoge
Steven H J Hageman
Yingying Sang
Shoshana H Ballew
Morgan E Grams
Aditya Surapaneni
Luanluan Sun
Johan Arnlov
Milica Bozic
Hermann Brenner
Nigel J Brunskill
Alex R Chang
Rajkumar Chinnadurai
Massimo Cirillo
Adolfo Correa
Natalie Ebert
Kai-Uwe Eckardt
Ron T Gansevoort
Orlando Gutierrez
Farzad Hadaegh
Jiang He
Shih-Jen Hwang
Tazeen H Jafar
Simerjot K Jassal
Takamasa Kayama
Csaba P Kovesdy
Gijs W Landman
Andrew S Levey
Donald M Lloyd-Jones
Rupert W Major
Katsuyuki Miura
Paul Muntner
Girish N Nadkarni
Christoph Nowak
Takayoshi Ohkubo
Michelle J Pena
Kevan R Polkinghorne
Toshimi Sairenchi
Elke Schaeffner
Markus P Schneider
Varda Shalev
Michael G Shlipak
Marit D Solbu
Nikita Stempniewicz
James Tollitt
José M Valdivielso
Joep van der Leeuw
Angela Yee-Moon Wang
Chi-Pang Wen
Mark Woodward
Kazumasa Yamagishi
Hiroshi Yatsuya
Luxia Zhang
Jannick A N Dorresteijn
Emanuele Di Angelantonio
Frank L J Visseren
Lisa Pennells
Josef Coresh
Source :
European Journal of Preventive Cardiology. 30:8-16
Publication Year :
2022
Publisher :
Oxford University Press (OUP), 2022.

Abstract

Aims The 2021 European Society of Cardiology (ESC) guideline on cardiovascular disease (CVD) prevention categorizes moderate and severe chronic kidney disease (CKD) as high and very-high CVD risk status regardless of other factors like age and does not include estimated glomerular filtration rate (eGFR) and albuminuria in its algorithms, systemic coronary risk estimation 2 (SCORE2) and systemic coronary risk estimation 2 in older persons (SCORE2-OP), to predict CVD risk. We developed and validated an ‘Add-on’ to incorporate CKD measures into these algorithms, using a validated approach. Methods In 3,054 840 participants from 34 datasets, we developed three Add-ons [eGFR only, eGFR + urinary albumin-to-creatinine ratio (ACR) (the primary Add-on), and eGFR + dipstick proteinuria] for SCORE2 and SCORE2-OP. We validated C-statistics and net reclassification improvement (NRI), accounting for competing risk of non-CVD death, in 5,997 719 participants from 34 different datasets. Results In the target population of SCORE2 and SCORE2-OP without diabetes, the CKD Add-on (eGFR only) and CKD Add-on (eGFR + ACR) improved C-statistic by 0.006 (95%CI 0.004–0.008) and 0.016 (0.010–0.023), respectively, for SCORE2 and 0.012 (0.009–0.015) and 0.024 (0.014–0.035), respectively, for SCORE2-OP. Similar results were seen when we included individuals with diabetes and tested the CKD Add-on (eGFR + dipstick). In 57 485 European participants with CKD, SCORE2 or SCORE2-OP with a CKD Add-on showed a significant NRI [e.g. 0.100 (0.062–0.138) for SCORE2] compared to the qualitative approach in the ESC guideline. Conclusion Our Add-ons with CKD measures improved CVD risk prediction beyond SCORE2 and SCORE2-OP. This approach will help clinicians and patients with CKD refine risk prediction and further personalize preventive therapies for CVD.

Details

ISSN :
20474881 and 20474873
Volume :
30
Database :
OpenAIRE
Journal :
European Journal of Preventive Cardiology
Accession number :
edsair.doi.dedup.....4826cebad502210fc647bf467df6a964