Journal article
Frailty measures can be used to predict the outcome of kidney transplant evaluation
Surgery, Vol.169(3), pp.686-693
03/2021
DOI: 10.1016/j.surg.2020.07.016
PMCID: PMC7870463
PMID: 32861436
Abstract
Experience incorporating frailty and functional metrics in the transplant evaluation process is limited. We hypothesized that simple tests correlate with kidney transplant listing outcomes.
Frailty metrics, treadmill ability, pedometer data, troponin T, and brain natriuretic peptide were collected on 375 consecutive kidney transplant evaluations between July 2015 and December 2018. Patients initially denied were compared with those listed or deferred. Frailty metrics included handgrip, chair sit-stand, up-and-go, chair sit-reach, and questions related to exhaustion.
A total of 95 (25%) patients were initially denied. Those denied were older, diabetic, or had higher body mass indexes. Frailty metrics including chair sit-stand, up-and-go, chair sit-reach, grip strength, and exhaustion; biochemical markers troponin and brain natriuretic peptide; and pedometer and treadmill ability were all significantly associated with denial (P < .001). The best order three model combining parsimony and predictiveness included treadmill ability, exhaustion, and troponin. The most predictive pedometer model also included exhaustion and up-and-go. The best order three model excluding biochemical markers, pedometer, and treadmill results included up-and-go, exhaustion, and chair sit-reach.
Outcomes after on-site kidney transplant evaluation strongly correlated with the results of common clinical and functional frailty metrics.
Details
- Title: Subtitle
- Frailty measures can be used to predict the outcome of kidney transplant evaluation
- Creators
- Priyadarshini Manay - University of IowaPatrick Ten Eyck - University of IowaRoberto Kalil - University of Maryland Medical CenterMelissa Swee - University of IowaM. Lee Sanders - University of IowaGrace Binns - Veterans Health AdministrationJodell L. Hornickel - Veterans Health AdministrationDaniel A. Katz - University of Iowa Hospitals and Clinics
- Resource Type
- Journal article
- Publication Details
- Surgery, Vol.169(3), pp.686-693
- DOI
- 10.1016/j.surg.2020.07.016
- PMID
- 32861436
- PMCID
- PMC7870463
- NLM abbreviation
- Surgery
- ISSN
- 0039-6060
- eISSN
- 1532-7361
- Publisher
- Elsevier Inc
- Grant note
- DOI: 10.13039/100006955, name: Office of Extramural Research, National Institutes of Health
- Language
- English
- Date published
- 03/2021
- Academic Unit
- Biostatistics; Surgery; Nephrology; Internal Medicine
- Record Identifier
- 9984322930002771
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