Developing risk prediction models for kidney injury and assessing incremental value for novel biomarkers

Kathleen F. Kerr; Allison Meisner; Heather Thiessen-Philbrook; Steven G. Coca; Chirag R. Parikh

doi:10.2215/CJN.10351013

Developing risk prediction models for kidney injury and assessing incremental value for novel biomarkers

Kathleen F. Kerr, Allison Meisner, Heather Thiessen-Philbrook, Steven G. Coca, Chirag R. Parikh

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

The field of nephrology is actively involved in developing biomarkers and improving models for predicting patients’ risks of AKI and CKD and their outcomes. However, some important aspects of evaluating biomarkers and risk models are not widely appreciated, and statistical methods are still evolving. This review describes some of the most important statistical concepts for this area of research and identifies common pitfalls. Particular attention is paid to metrics proposed within the last 5 years for quantifying the incremental predictive value of a new biomarker.

Original language	English (US)
Pages (from-to)	1488-1496
Number of pages	9
Journal	Clinical Journal of the American Society of Nephrology
Volume	9
Issue number	8
DOIs	https://doi.org/10.2215/CJN.10351013
State	Published - 2014
Externally published	Yes

ASJC Scopus subject areas

Epidemiology
Critical Care and Intensive Care Medicine
Nephrology
Transplantation

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Developing risk prediction models for kidney injury and assessing incremental value for novel biomarkers

Abstract

ASJC Scopus subject areas

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