Frailty and Early Hospital Readmission After Kidney Transplantation
Mara McAdams-DeMarco,Andrew Law,Megan L. Salter,Eric K.H. Chow,Morgan E. Grams,Jeremy D. Walston,Dorry L. Segev,Dorry L. Segev +7 more
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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.About:
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.read more
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Journal ArticleDOI
Relationship between pre‐transplant physical function and outcomes after kidney transplant
Elizabeth C. Lorenz,Andrea L. Cheville,Hatem Amer,Brian R. Kotajarvi,Mark D. Stegall,Tanya M. Petterson,Walter K. Kremers,Fernando G. Cosio,Nathan K. LeBrasseur +8 more
TL;DR: Performance‐based measures of physical function predict morbidity following non‐transplant surgery and assess how physical function changes post-transplant.
Journal ArticleDOI
Functional status, healthcare utilization, and the costs of liver transplantation.
Marina Serper,Therese Bittermann,Michael W. Rossi,David S. Goldberg,Arwin Thomasson,Kim M. Olthoff,Abraham Shaked +6 more
TL;DR: Functional status is an important determinant of posttransplant resource utilization; therefore, standardized measurements of functional status should be considered to optimize candidate selection and outcomes.
Journal ArticleDOI
Frailty Prevalence in Younger End-Stage Kidney Disease Patients Undergoing Dialysis and Transplantation.
Nadia M. Chu,Xiaomeng Chen,Silas P. Norman,Jessica Fitzpatrick,Stephen M. Sozio,Stephen M. Sozio,Bernard G. Jaar,Alena Frey,Michelle M. Estrella,Qian Li Xue,Qian Li Xue,Rulan S. Parekh,Rulan S. Parekh,Dorry L. Segev,Dorry L. Segev,Mara McAdams-DeMarco +15 more
TL;DR: Although frailty prevalence increases with age, younger patients with end-stage kidney disease of all ages have a high burden, and Clinicians caring for this vulnerable population should recognize that younger patients may experience frailty and screen all age groups.
Journal ArticleDOI
Frailty and Health-Related Quality of Life in End Stage Renal Disease Patients of All Ages.
Mara McAdams-DeMarco,Hao Ying,Israel O. Olorundare,Elizabeth A. King,Niraj M. Desai,Nabil N. Dagher,Bonnie E. Lonze,Robert A. Montgomery,Jeremy D. Walston,D. Segev +9 more
TL;DR: Frail adults of all ages with ESRD are more likely to experience fair/poor HRQOL and worseningHRQOL over time.
Journal ArticleDOI
Frailty has a significant influence on postoperative complications after kidney transplantation: A prospective study on short-term outcomes
Lasse Schopmeyer,Mostafa El Moumni,Gertrude J. Nieuwenhuijs-Moeke,Stefan P Berger,Stephan J. L. Bakker,Robert A. Pol +5 more
TL;DR: In conclusion, frailty and type of transplantation are independent factors associated with an increased risk of postoperative complications.
References
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Frailty in Older Adults Evidence for a Phenotype
Linda P. Fried,Catherine M. Tangen,Jeremy D. Walston,Anne B. Newman,Calvin H. Hirsch,John S. Gottdiener,Teresa E. Seeman,Russell P. Tracy,Willem J. Kop,B Gregory Burke,Mary Ann McBurnie +10 more
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 Article
Cardiovascular Health Study Collaborative Research Group : Frailty in older adults : evidence for a phenotype
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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