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Open AccessJournal ArticleDOI

Frailty and Early Hospital Readmission After Kidney Transplantation

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TLDR
In this article, a measure of physiologic reserve, called frailty, was proposed as a predictor of early hospital readmission after kidney transplantation (EHR) in kidney transplant patients.
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This article is published in American Journal of Transplantation.The article was published on 2013-08-01 and is currently open access. It has received 260 citations till now. The article focuses on the topics: Transplantation.

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Frailty and Kidney Transplantation.

TL;DR: In this paper, the authors review the concept of frailty, how to asses it in general and in the context of a transplant evaluation; the risk of fraility in transplant outcomes and the benefits of transplant in reversing frailty; whether markers of fraibility can be improved and whether that improves transplant outcomes.
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Analysis of individual components of frailty: Pre‐transplant grip strength is the strongest predictor of post kidney transplant outcomes

TL;DR: Based on the findings, handgrip strength may be an important tool while assessing frailty, mainly predicting early readmission and cardiovascular events post-transplant.
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Frailty in end stage renal disease: Current perspectives

TL;DR: In this article , the authors discuss the importance of frailty, its pathogenesis, screening methods, prognostic implications and management strategies in context of end stage renal disease (ESRD).
References
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Journal ArticleDOI

Frailty in Older Adults Evidence for a Phenotype

TL;DR: This study provides a potential standardized definition for frailty in community-dwelling older adults and offers concurrent and predictive validity for the definition, and finds that there is an intermediate stage identifying those at high risk of frailty.
Journal ArticleDOI

A Modified Poisson Regression Approach to Prospective Studies with Binary Data

TL;DR: Results from a limited simulation study indicate that this approach is very reliable even with total sample sizes as small as 100, and the method is illustrated with two data sets.
Journal ArticleDOI

Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond

TL;DR: Two new measures, one based on integrated sensitivity and specificity and the other on reclassification tables, are introduced that offer incremental information over the AUC and are proposed to be considered in addition to the A UC when assessing the performance of newer biomarkers.
Book

The Statistical Evaluation of Medical Tests for Classification and Prediction

TL;DR: A comparison of Binary Tests and Regression Analysis and the Receiver Operating Characteristic Curve shows that Binary Tests are more accurate than Ordinal Tests when the Receiver operating characteristic curve is considered.
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