Literature DB >> 26661693

Prediction of 10-year vascular risk in patients with diabetes: the AD-ON risk score.

M Woodward1,2,3, Y Hirakawa1, A-P Kengne1,4, D R Matthews5, S Zoungas1,6, A Patel1, N Poulter7, R Grobbee8, M Cooper9, M Jardine1, J Chalmers1.   

Abstract

AIMS: To formulate a combined cardiovascular risk score in diabetes that could be useful both to physicians and healthcare funders.
METHODS: Data were derived from the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation Observational (ADVANCE-ON) study, a randomized controlled trial (mean duration 5 years) with a post-randomization follow-up (mean 4.9 years), that included 11 140 high-risk patients with diabetes. The outcome analysed was the occurrence of either fatal or non-fatal macrovascular or renal disease. A Cox regression model was used to determine weightings in the risk score. The resultant score was recalibrated to each of three major global regions, as covered by the ADVANCE-ON study.
RESULTS: Over a median of 9.9 years, 1145 patients experienced at least one component of the combined outcome event. The resultant score, the AD-ON risk score, incorporated 13 demographic or clinical variables. Its discrimination was modest [c-statistic = 0.668 (95% confidence interval 0.651, 0.685)] but its calibration was excellent (predicted and observed risks coincided well, within disparate global regions). In terms of the integrated discrimination improvement index, its performance was marginally superior, over a 10-year risk horizon, to existing risk scores in clinical use, from a restricted version of the same data, for macrovascular and renal disease separately.
CONCLUSIONS: The AD-ON risk score has advantages over the existing vascular risk scores in diabetes that used data from the original ADVANCE trial, which treat macrovascular and renal diseases separately. These advantages include its simplicity of use and global application.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  clinical trial; diabetes complications; macrovascular disease; type 2 diabetes

Mesh:

Substances:

Year:  2016        PMID: 26661693     DOI: 10.1111/dom.12614

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  9 in total

1.  Risk prediction of major complications in individuals with diabetes: the Atherosclerosis Risk in Communities Study.

Authors:  C M Parrinello; K Matsushita; M Woodward; L E Wagenknecht; J Coresh; E Selvin
Journal:  Diabetes Obes Metab       Date:  2016-06-14       Impact factor: 6.577

Review 2.  The Evolving Cardiovascular Disease Risk Scores for Persons with Diabetes Mellitus.

Authors:  Yanglu Zhao; Nathan D Wong
Journal:  Curr Cardiol Rep       Date:  2018-10-11       Impact factor: 2.931

Review 3.  Graphics and statistics for cardiology: clinical prediction rules.

Authors:  Mark Woodward; Hugh Tunstall-Pedoe; Sanne Ae Peters
Journal:  Heart       Date:  2017-02-08       Impact factor: 5.994

4.  Comparative effects of microvascular and macrovascular disease on the risk of major outcomes in patients with type 2 diabetes.

Authors:  Kamel Mohammedi; Mark Woodward; Michel Marre; Stephen Colagiuri; Mark Cooper; Stephen Harrap; Giuseppe Mancia; Neil Poulter; Bryan Williams; Sophia Zoungas; John Chalmers
Journal:  Cardiovasc Diabetol       Date:  2017-07-27       Impact factor: 9.951

5.  Refining Long-Term Prediction of Cardiovascular Risk in Diabetes - The VILDIA Score.

Authors:  Georg Goliasch; Günther Silbernagel; Marcus E Kleber; Tanja B Grammer; Stefan Pilz; Andreas Tomaschitz; Philipp E Bartko; Gerald Maurer; Wolfgang Koenig; Alexander Niessner; Winfried März
Journal:  Sci Rep       Date:  2017-07-05       Impact factor: 4.379

6.  Kidney, Cardiovascular, and Safety Outcomes of Canagliflozin according to Baseline Albuminuria: A CREDENCE Secondary Analysis.

Authors:  Meg Jardine; Zien Zhou; Hiddo J Lambers Heerspink; Carinna Hockham; Qiang Li; Rajiv Agarwal; George L Bakris; Christopher P Cannon; David M Charytan; Tom Greene; Adeera Levin; Jing-Wei Li; Brendon L Neuen; Bruce Neal; Richard Oh; Megumi Oshima; Carol Pollock; David C Wheeler; Dick de Zeeuw; Hong Zhang; Bernard Zinman; Kenneth W Mahaffey; Vlado Perkovic
Journal:  Clin J Am Soc Nephrol       Date:  2021-02-22       Impact factor: 8.237

7.  Vascular complications in patients with type 2 diabetes: prevalence and associated factors in 38 countries (the DISCOVER study program).

Authors:  Mikhail Kosiborod; Marilia B Gomes; Antonio Nicolucci; Stuart Pocock; Wolfgang Rathmann; Marina V Shestakova; Hirotaka Watada; Iichiro Shimomura; Hungta Chen; Javier Cid-Ruzafa; Peter Fenici; Niklas Hammar; Filip Surmont; Fengming Tang; Kamlesh Khunti
Journal:  Cardiovasc Diabetol       Date:  2018-11-28       Impact factor: 9.951

8.  Predicting the risk of stroke among patients with type 2 diabetes: a systematic review and meta-analysis of C-statistics.

Authors:  Mohammad Ziaul Islam Chowdhury; Fahmida Yeasmin; Doreen M Rabi; Paul E Ronksley; Tanvir C Turin
Journal:  BMJ Open       Date:  2019-08-30       Impact factor: 2.692

9.  Incorporating kidney disease measures into cardiovascular risk prediction: Development and validation in 9 million adults from 72 datasets.

Authors:  Kunihiro Matsushita; Simerjot K Jassal; Yingying Sang; Shoshana H Ballew; Morgan E Grams; Aditya Surapaneni; Johan Arnlov; Nisha Bansal; 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; 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; David Mj Naimark; Christoph Nowak; Takayoshi Ohkubo; Michelle J Pena; Kevan R Polkinghorne; Charumathi Sabanayagam; Toshimi Sairenchi; Markus P Schneider; Varda Shalev; Michael 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; Elke Schaeffner; Josef Coresh
Journal:  EClinicalMedicine       Date:  2020-10-14
  9 in total

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