Literature DB >> 24067744

The importance of short-term off-target effects in estimating the long-term renal and cardiovascular protection of angiotensin receptor blockers.

P A Smink1, Y Miao1, M J C Eijkemans2, S J L Bakker1, I Raz3, H-H Parving4, J Hoekman1, D E Grobbee2, D de Zeeuw1, H J Lambers Heerspink1.   

Abstract

Angiotensin receptor blockers (ARBs) have multiple effects that may contribute to their efficacy on renal/cardiovascular outcomes. We developed and validated a risk score that incorporated short-term changes in multiple risk markers to predict the ARB effect on renal/cardiovascular outcomes. The score was used to predict renal/cardiovascular risk at baseline and at month 6 in the ARB treatment arm of the Reduction of Endpoints in NIDDM (noninsulin-dependent diabetes mellitus) with the Angiotensin II Antagonist Losartan (RENAAL) trial. The net risk difference at these time points indicated the estimated long-term renal/cardiovascular treatment effect. Predicted relative risk reductions (RRRs) based on multiple markers were close to observed RRRs for renal (RRR(predicted): 30.1% vs. RRR(observed): 21.8%; P = 0.44) and cardiovascular outcomes (RRR(predicted): 9.4% vs. RRR(observed): 9.2%; P = 0.98), in addition to being markedly more accurate than predicted RRRs based on changes in single markers. The score was validated in an independent ARB trial. Predictions of long-term renal/cardiovascular ARB effects are more accurate when considering short-term changes in multiple risk markers, challenging the use of single markers to establish drug efficacy.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24067744     DOI: 10.1038/clpt.2013.191

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  11 in total

1.  The renal protective effect of angiotensin receptor blockers depends on intra-individual response variation in multiple risk markers.

Authors:  Bauke Schievink; Dick de Zeeuw; Hans-Henrik Parving; Peter Rossing; Hiddo Jan Lambers Heerspink
Journal:  Br J Clin Pharmacol       Date:  2015-05-28       Impact factor: 4.335

2.  Modeling and simulation for medical product development and evaluation: highlights from the FDA-C-Path-ISOP 2013 workshop.

Authors:  Klaus Romero; Vikram Sinha; Sandra Allerheiligen; Meindert Danhof; Jose Pinheiro; Naomi Kruhlak; Yaning Wang; Sue-Jane Wang; John-Michael Sauer; J F Marier; Brian Corrigan; James Rogers; H J Lambers Heerspink; Tawanda Gumbo; Peter Vis; Paul Watkins; Tina Morrison; William Gillespie; Mark Forrest Gordon; Diane Stephenson; Debra Hanna; Marc Pfister; Richard Lalonde; Thomas Colatsky
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-10-07       Impact factor: 2.745

3.  Prediction of the effect of atrasentan on renal and heart failure outcomes based on short-term changes in multiple risk markers.

Authors:  Bauke Schievink; Dick de Zeeuw; Paul A Smink; Dennis Andress; John J Brennan; Blai Coll; Ricardo Correa-Rotter; Fan Fan Hou; Donald Kohan; Dalane W Kitzman; Hirofumi Makino; Hans-Henrik Parving; Vlado Perkovic; Giuseppe Remuzzi; Sheldon Tobe; Robert Toto; Jarno Hoekman; Hiddo J Lambers Heerspink
Journal:  Eur J Prev Cardiol       Date:  2015-07-30       Impact factor: 7.804

4.  The use of surrogate endpoints in regulating medicines for cardio-renal disease: opinions of stakeholders.

Authors:  Bauke Schievink; Hiddo Lambers Heerspink; Hubert Leufkens; Dick De Zeeuw; Jarno Hoekman
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

5.  Prediction of the effect of dapagliflozin on kidney and heart failure outcomes based on short-term changes in multiple risk markers.

Authors:  Nienke M A Idzerda; Bergur V Stefansson; Michelle J Pena; David C Sjostrom; David C Wheeler; Hiddo J L Heerspink
Journal:  Nephrol Dial Transplant       Date:  2020-09-01       Impact factor: 5.992

6.  Prediction and validation of exenatide risk marker effects on progression of renal disease: Insights from EXSCEL.

Authors:  Nienke M A Idzerda; Lindsay E Clegg; Adrian F Hernandez; George Bakris; Robert C Penland; David W Boulton; M Angelyn Bethel; Rury R Holman; Hiddo J L Heerspink
Journal:  Diabetes Obes Metab       Date:  2020-02-03       Impact factor: 6.577

7.  Administration of losartan preserves cardiomyocyte size and prevents myocardial dysfunction in tail-suspended mice by inhibiting p47phox phosphorylation, NADPH oxidase activation and MuRF1 expression.

Authors:  Liwen Liang; Wenyi Yuan; Lina Qu; Huili Li; Lulu Zhang; Guo-Chang Fan; Tianqing Peng
Journal:  J Transl Med       Date:  2019-08-22       Impact factor: 5.531

8.  Prediction of the Effects of Empagliflozin on Cardiovascular and Kidney Outcomes Based on Short-Term Changes in Multiple Risk Markers.

Authors:  Sok Cin Tye; Sieta T de Vries; Christoph Wanner; Petra Denig; Hiddo J L Heerspink
Journal:  Front Pharmacol       Date:  2022-01-25       Impact factor: 5.810

9.  A novel drug response score more accurately predicts renoprotective drug effects than existing renal risk scores.

Authors:  Nienke M A Idzerda; Sok Cin Tye; Dick de Zeeuw; Hiddo J L Heerspink
Journal:  Ther Adv Endocrinol Metab       Date:  2021-02-05       Impact factor: 3.565

Review 10.  Precision medicine approaches for diabetic kidney disease: opportunities and challenges.

Authors:  Sok Cin Tye; Petra Denig; Hiddo J L Heerspink
Journal:  Nephrol Dial Transplant       Date:  2021-06-22       Impact factor: 5.992

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.