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Shifting Clinical Trial Endpoints in Kidney Transplantation: The Rise of Composite Endpoints and Machine Learning to Refine Prognostication.

Publication ,  Journal Article
Anwar, IJ; Srinivas, TR; Gao, Q; Knechtle, SJ
Published in: Transplantation
August 1, 2022

The measurement of outcomes in kidney transplantation has been more accurately documented than almost any other surgical procedure result in recent decades. With significant improvements in short- and long-term outcomes related to optimized immunosuppression, outcomes have gradually shifted away from conventional clinical endpoints (ie, patient and graft survival) to surrogate and composite endpoints. This article reviews how outcomes measurements have evolved in the past 2 decades in the setting of increased data collection and summarizes recent advances in outcomes measurements pertaining to clinical, histopathological, and immune outcomes. Finally, we discuss the use of composite endpoints and Bayesian concepts, specifically focusing on the integrative box risk prediction score, in conjunction with machine learning to refine prognostication.

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Published In

Transplantation

DOI

EISSN

1534-6080

Publication Date

August 1, 2022

Volume

106

Issue

8

Start / End Page

1558 / 1564

Location

United States

Related Subject Headings

  • Surgery
  • Machine Learning
  • Kidney Transplantation
  • Immunosuppression Therapy
  • Humans
  • Graft Survival
  • Bayes Theorem
  • 3204 Immunology
  • 3202 Clinical sciences
  • 11 Medical and Health Sciences
 

Citation

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Anwar, I. J., Srinivas, T. R., Gao, Q., & Knechtle, S. J. (2022). Shifting Clinical Trial Endpoints in Kidney Transplantation: The Rise of Composite Endpoints and Machine Learning to Refine Prognostication. Transplantation, 106(8), 1558–1564. https://doi.org/10.1097/TP.0000000000004107
Anwar, Imran J., Titte R. Srinivas, Qimeng Gao, and Stuart J. Knechtle. “Shifting Clinical Trial Endpoints in Kidney Transplantation: The Rise of Composite Endpoints and Machine Learning to Refine Prognostication.Transplantation 106, no. 8 (August 1, 2022): 1558–64. https://doi.org/10.1097/TP.0000000000004107.
Anwar, Imran J., et al. “Shifting Clinical Trial Endpoints in Kidney Transplantation: The Rise of Composite Endpoints and Machine Learning to Refine Prognostication.Transplantation, vol. 106, no. 8, Aug. 2022, pp. 1558–64. Pubmed, doi:10.1097/TP.0000000000004107.

Published In

Transplantation

DOI

EISSN

1534-6080

Publication Date

August 1, 2022

Volume

106

Issue

8

Start / End Page

1558 / 1564

Location

United States

Related Subject Headings

  • Surgery
  • Machine Learning
  • Kidney Transplantation
  • Immunosuppression Therapy
  • Humans
  • Graft Survival
  • Bayes Theorem
  • 3204 Immunology
  • 3202 Clinical sciences
  • 11 Medical and Health Sciences