Literature DB >> 23192156

The external validation of the cardiovascular risk equation for renal transplant recipients: applications to BENEFIT and BENEFIT-EXT trials.

Inga Soveri1, Jon Snyder, Hallvard Holdaas, Ingar Holme, Alan G Jardine, Gilbert J L'Italien, Bengt Fellström.   

Abstract

BACKGROUND: Renal transplant recipients (RTRs) have increased cardiovascular disease risk. Recently, major adverse cardiac event (MACE) and mortality risk calculators for prevalent RTRs were developed. We aimed to externally validate these risk equations in an international transplant database and subsequently demonstrate application to 2 clinical trials: Belatacept Evaluation of Nephroprotection and Efficacy as First-line Immunosuppression Trial (BENEFIT) and Belatacept Evaluation of Nephroprotection and Efficacy as First-line Immunosuppression Trial-EXTended criteria donors (BENEFIT-EXT).
METHODS: The 7-year risk calculators were developed using data from the ALERT trial and validated for discrimination and calibration in the Patient Outcomes in Renal Transplantation (PORT) study cohort. The outlier laboratory readings were trimmed to the 99th percentile observed in the PORT database. Diabetes mellitus, LDL-cholesterol, and serum creatinine values 3 years posttransplantation were used when applying the calculators to BENEFIT and BENEFIT-EXT trial treatment arms.
RESULTS: MACE could be predicted using a 7-variable model. The area under the ROC curve was 0.738 in ALERT and 0.740 in PORT, indicating preserved discrimination. In PORT, the calibration of the model indicated significant underestimation of risk in decile 5 and 9. Total mortality could be predicted using a 6-variable model. The area under the ROC curve was 0.734 in ALERT and 0.721 in PORT, indicating preserved discrimination. In PORT, the calibration of the model indicated significant underestimation of risk in decile 7 and significant overestimation in the highest risk decile. In BENEFIT and BENEFIT-EXT trial, the calculator estimated that belatacept use may result in reduction in MACE (>20%) and mortality (∼18%-30%).
CONCLUSION: The MACE and mortality risk calculators for prevalent RTRs have been externally validated and found suitable for generic risk stratification.

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Year:  2013        PMID: 23192156     DOI: 10.1097/TP.0b013e31827722c9

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  10 in total

Review 1.  Rationale for Surrogate Endpoints and Conditional Marketing Authorization of New Therapies for Kidney Transplantation.

Authors:  Maarten Naesens; Alexandre Loupy; Luuk Hilbrands; Rainer Oberbauer; Maria Irene Bellini; Denis Glotz; Josep Grinyó; Uwe Heemann; Ina Jochmans; Liset Pengel; Marlies Reinders; Stefan Schneeberger; Klemens Budde
Journal:  Transpl Int       Date:  2022-05-20       Impact factor: 3.842

Review 2.  Metabolic consequences of modern immunosuppressive agents in solid organ transplantation.

Authors:  Oluwatoyin Bamgbola
Journal:  Ther Adv Endocrinol Metab       Date:  2016-03-30       Impact factor: 3.565

Review 3.  Belatacept for the prophylaxis of organ rejection in kidney transplant patients: an evidence-based review of its place in therapy.

Authors:  Karen L Hardinger; Daniel Sunderland; Jennifer A Wiederrich
Journal:  Int J Nephrol Renovasc Dis       Date:  2016-05-26

4.  Acute Rejection After Kidney Transplantation Associates With Circulating MicroRNAs and Vascular Injury.

Authors:  Roel Bijkerk; Barend W Florijn; Meriem Khairoun; Jacques M G J Duijs; Gurbey Ocak; Aiko P J de Vries; Alexander F Schaapherder; Marko J K Mallat; Johan W de Fijter; Ton J Rabelink; Anton Jan van Zonneveld; Marlies E J Reinders
Journal:  Transplant Direct       Date:  2017-06-19

5.  Cardiovascular disease: Risk factors and applicability of a risk model in a Greek cohort of renal transplant recipients.

Authors:  Nikolaos-Andreas Anastasopoulos; Evangelia Dounousi; Evangelos Papachristou; Charalampos Pappas; Eleni Leontaridou; Eirini Savvidaki; Dimitrios Goumenos; Michael Mitsis
Journal:  World J Transplant       Date:  2017-02-24

Review 6.  Cardiovascular risk in renal transplant recipients.

Authors:  Paul A Devine; Aisling E Courtney; Alexander P Maxwell
Journal:  J Nephrol       Date:  2018-11-07       Impact factor: 3.902

7.  Association of soluble ST2 with all-cause and cardiovascular mortality in renal transplant recipients: a single-centre cohort study.

Authors:  Paul A Devine; Christopher Cardwell; Alexander P Maxwell
Journal:  BMC Nephrol       Date:  2020-01-28       Impact factor: 2.388

Review 8.  Validity of cardiovascular risk prediction models in kidney transplant recipients.

Authors:  Holly Mansell; Samuel Alan Stewart; Ahmed Shoker
Journal:  ScientificWorldJournal       Date:  2014-04-08

9.  Late Conversion From Calcineurin Inhibitors to Belatacept in Kidney-Transplant Recipients Has a Significant Beneficial Impact on Glycemic Parameters.

Authors:  Florian Terrec; Thomas Jouve; Hamza Naciri-Bennani; Pierre-Yves Benhamou; Paolo Malvezzi; Benedicte Janbon; Diane Giovannini; Lionel Rostaing; Johan Noble
Journal:  Transplant Direct       Date:  2019-12-24

10.  Predicting Prolonged Length of ICU Stay through Machine Learning.

Authors:  Jingyi Wu; Yu Lin; Pengfei Li; Yonghua Hu; Luxia Zhang; Guilan Kong
Journal:  Diagnostics (Basel)       Date:  2021-11-30
  10 in total

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